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They can be used for estimation of different quality metrics (e.g. accuracy, precision, area under ROC curve, etc.) for classification, feature selection or clustering algorithms.\n\nThis repository was inspired by an increasing need in machine learning / bioinformatics communities for a collection of microarray classification problems that could be used by different researches. This way many different classification or feature selection techniques can finally be compared to eachother on the same set of problems.\n\nOrigin of data\n\nEach gene expression sample in GEMLeR repository comes from a large publicly available expO (Expression Project For Oncology) repository by International Genomics Consortium.\n\nThe goal of expO and its consortium supporters is to procure tissue samples under standard conditions and perform gene expression analyses on a clinically annotated set of deidentified tumor samples. The tumor data is updated with clinical outcomes and is released into the public domain without intellectual property restriction. The availability of this information translates into direct benefits for patients, researchers and pharma alike.\n\nSource: expO website\nAlthough there are various other sources of gene expression data available, a decision to use data from expO repository was made because of:\n- consistency of tissue samples processing procedure\n- same microarray platform used for all samples\n- availability of additional information for combined genotype-phenotype studies\n- availability of a large number of samples for different tumor types\n\nIn case of publishing material based on GEMLeR datasets, then, please note the assistance you received by using this repository. This will help others to obtain the same datasets and replicate your experiments. Please cite as follows when referring to this repository:\n\nStiglic, G., & Kokol, P. (2010). Stability of Ranked Gene Lists in Large Microarray Analysis Studies. Journal of biomedicine biotechnology, 2010, 616358.\n\nYou are also welcome to acknowledge the contribution of expO (Expression Project For Oncology) and International Genomics Consortium for providing their gene expression samples to the public."},"dataset_features":{"kind":"string","value":"{0: [0 - ID_REF (numeric)],\n 1: [1 - 1007_s_at (numeric)],\n 2: [2 - 121_at (numeric)],\n 3: [3 - 1405_i_at (numeric)],\n 4: [4 - 1438_at (numeric)],\n 5: [5 - 1552257_a_at (numeric)],\n 6: [6 - 1552261_at (numeric)],\n 7: [7 - 1552309_a_at (numeric)],\n 8: [8 - 1552348_at (numeric)],\n 9: [9 - 1552365_at (numeric)],\n 10: [10 - 1552378_s_at (numeric)],\n 11: [11 - 1552426_a_at (numeric)],\n 12: [12 - 1552455_at (numeric)],\n 13: [13 - 1552463_at (numeric)],\n 14: [14 - 1552477_a_at (numeric)],\n 15: [15 - 1552610_a_at (numeric)],\n 16: [16 - 1552615_at (numeric)],\n 17: [17 - 1552619_a_at (numeric)],\n 18: [18 - 1552621_at (numeric)],\n 19: [19 - 1552622_s_at (numeric)],\n 20: [20 - 1552628_a_at 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206: [206 - 1557553_at (numeric)],\n 207: [207 - 1557813_at (numeric)],\n 208: [208 - 1557820_at (numeric)],\n 209: [209 - 1557905_s_at (numeric)],\n 210: [210 - 1557910_at (numeric)],\n 211: [211 - 1557915_s_at (numeric)],\n 212: [212 - 1557938_s_at (numeric)],\n 213: [213 - 1557944_s_at (numeric)],\n 214: [214 - 1557953_at (numeric)],\n 215: [215 - 1557961_s_at (numeric)],\n 216: [216 - 1557987_at (numeric)],\n 217: [217 - 1557996_at (numeric)],\n 218: [218 - 1558015_s_at (numeric)],\n 219: [219 - 1558034_s_at (numeric)],\n 220: [220 - 1558048_x_at (numeric)],\n 221: [221 - 1558080_s_at (numeric)],\n 222: [222 - 1558093_s_at (numeric)],\n 223: [223 - 1558097_at (numeric)],\n 224: [224 - 1558111_at (numeric)],\n 225: [225 - 1558139_at (numeric)],\n 226: [226 - 1558142_at (numeric)],\n 227: [227 - 1558220_at (numeric)],\n 228: [228 - 1558290_a_at (numeric)],\n 229: [229 - 1558426_x_at (numeric)],\n 230: [230 - 1558444_at (numeric)],\n 231: [231 - 1558486_at (numeric)],\n 232: [232 - 1558487_a_at (numeric)],\n 233: [233 - 1558511_s_at (numeric)],\n 234: [234 - 1558515_at (numeric)],\n 235: [235 - 1558549_s_at (numeric)],\n 236: [236 - 1558641_at (numeric)],\n 237: [237 - 1558662_s_at (numeric)],\n 238: [238 - 1558678_s_at (numeric)],\n 239: [239 - 1558685_a_at (numeric)],\n 240: [240 - 1558688_at (numeric)],\n 241: [241 - 1558692_at (numeric)],\n 242: [242 - 1558828_s_at (numeric)],\n 243: [243 - 1558953_s_at (numeric)],\n 244: [244 - 1558956_s_at (numeric)],\n 245: [245 - 1559038_at (numeric)],\n 246: [246 - 1559117_at (numeric)],\n 247: [247 - 1559156_at (numeric)],\n 248: [248 - 1559167_x_at (numeric)],\n 249: [249 - 1559391_s_at (numeric)],\n 250: [250 - 1559410_at (numeric)],\n 251: [251 - 1559436_x_at (numeric)],\n 252: [252 - 1559450_at (numeric)],\n 253: [253 - 1559459_at (numeric)],\n 254: [254 - 1559477_s_at (numeric)],\n 255: [255 - 1559496_at (numeric)],\n 256: [256 - 1559881_s_at (numeric)],\n 257: [257 - 1559946_s_at (numeric)],\n 258: [258 - 1559954_s_at (numeric)],\n 259: [259 - 1559960_x_at (numeric)],\n 260: [260 - 1560049_at (numeric)],\n 261: [261 - 1560060_s_at (numeric)],\n 262: [262 - 1560144_at (numeric)],\n 263: [263 - 1560296_at (numeric)],\n 264: [264 - 1560339_s_at (numeric)],\n 265: [265 - 1560500_at (numeric)],\n 266: [266 - 1560587_s_at (numeric)],\n 267: [267 - 1560622_at (numeric)],\n 268: [268 - 1560652_at (numeric)],\n 269: [269 - 1560683_at (numeric)],\n 270: [270 - 1560684_x_at (numeric)],\n 271: [271 - 1560741_at (numeric)],\n 272: [272 - 1561195_at (numeric)],\n 273: [273 - 1561346_at (numeric)],\n 274: [274 - 1561421_a_at (numeric)],\n 275: [275 - 1561754_at (numeric)],\n 276: [276 - 1561817_at (numeric)],\n 277: [277 - 1561956_at (numeric)],\n 278: [278 - 1562062_at (numeric)],\n 279: [279 - 1562063_x_at (numeric)],\n 280: [280 - 1562102_at (numeric)],\n 281: [281 - 1562467_at (numeric)],\n 282: [282 - 1562736_at (numeric)],\n 283: [283 - 1562755_at (numeric)],\n 284: [284 - 1562771_at (numeric)],\n 285: [285 - 1563209_a_at (numeric)],\n 286: [286 - 1563431_x_at (numeric)],\n 287: [287 - 1563853_at (numeric)],\n 288: [288 - 1564148_at (numeric)],\n 289: [289 - 1564479_a_at (numeric)],\n 290: [290 - 1564494_s_at (numeric)],\n 291: [291 - 1564796_at (numeric)],\n 292: [292 - 1565162_s_at (numeric)],\n 293: [293 - 1565358_at (numeric)],\n 294: [294 - 1565717_s_at (numeric)],\n 295: [295 - 1566079_at (numeric)],\n 296: [296 - 1566115_at (numeric)],\n 297: [297 - 1566145_s_at (numeric)],\n 298: [298 - 1566303_s_at (numeric)],\n 299: [299 - 1566342_at (numeric)],\n 300: [300 - 1566509_s_at (numeric)],\n 301: [301 - 1566887_x_at (numeric)],\n 302: [302 - 1566956_at (numeric)],\n 303: [303 - 1567107_s_at (numeric)],\n 304: [304 - 1567214_a_at (numeric)],\n 305: [305 - 1567458_s_at (numeric)],\n 306: [306 - 1567628_at (numeric)],\n 307: [307 - 1567912_s_at (numeric)],\n 308: [308 - 1567913_at (numeric)],\n 309: [309 - 1568513_x_at (numeric)],\n 310: [310 - 1568609_s_at (numeric)],\n 311: [311 - 1568618_a_at (numeric)],\n 312: [312 - 1568619_s_at (numeric)],\n 313: [313 - 1568629_s_at (numeric)],\n 314: [314 - 1568678_s_at (numeric)],\n 315: [315 - 1568760_at (numeric)],\n 316: [316 - 1568763_s_at (numeric)],\n 317: [317 - 1568983_a_at (numeric)],\n 318: [318 - 1568986_x_at (numeric)],\n 319: [319 - 1569003_at (numeric)],\n 320: [320 - 1569057_s_at (numeric)],\n 321: [321 - 1569110_x_at (numeric)],\n 322: [322 - 1569200_at (numeric)],\n 323: [323 - 1569361_a_at (numeric)],\n 324: [324 - 1569387_at (numeric)],\n 325: [325 - 1569522_at (numeric)],\n 326: [326 - 1569594_a_at (numeric)],\n 327: [327 - 1569601_at (numeric)],\n 328: [328 - 1569607_s_at (numeric)],\n 329: [329 - 1569648_at (numeric)],\n 330: [330 - 1569872_a_at (numeric)],\n 331: [331 - 1569886_a_at (numeric)],\n 332: [332 - 1569986_x_at (numeric)],\n 333: [333 - 1570266_x_at (numeric)],\n 334: [334 - 1570482_at (numeric)],\n 335: [335 - 1598_g_at (numeric)],\n 336: [336 - 160020_at (numeric)],\n 337: [337 - 200000_s_at (numeric)],\n 338: [338 - 200001_at (numeric)],\n 339: [339 - 200002_at (numeric)],\n 340: [340 - 200003_s_at (numeric)],\n 341: [341 - 200004_at (numeric)],\n 342: [342 - 200005_at (numeric)],\n 343: [343 - 200006_at (numeric)],\n 344: [344 - 200007_at (numeric)],\n 345: [345 - 200008_s_at (numeric)],\n 346: [346 - 200009_at (numeric)],\n 347: [347 - 200010_at (numeric)],\n 348: [348 - 200011_s_at (numeric)],\n 349: [349 - 200012_x_at (numeric)],\n 350: [350 - 200013_at (numeric)],\n 351: [351 - 200014_s_at (numeric)],\n 352: [352 - 200015_s_at (numeric)],\n 353: [353 - 200016_x_at (numeric)],\n 354: [354 - 200017_at (numeric)],\n 355: [355 - 200018_at (numeric)],\n 356: [356 - 200019_s_at (numeric)],\n 357: [357 - 200020_at (numeric)],\n 358: [358 - 200021_at (numeric)],\n 359: [359 - 200022_at (numeric)],\n 360: [360 - 200023_s_at (numeric)],\n 361: [361 - 200024_at (numeric)],\n 362: [362 - 200025_s_at (numeric)],\n 363: [363 - 200026_at (numeric)],\n 364: [364 - 200027_at (numeric)],\n 365: [365 - 200028_s_at (numeric)],\n 366: [366 - 200029_at (numeric)],\n 367: [367 - 200030_s_at (numeric)],\n 368: [368 - 200031_s_at (numeric)],\n 369: [369 - 200032_s_at (numeric)],\n 370: [370 - 200033_at (numeric)],\n 371: [371 - 200034_s_at (numeric)],\n 372: [372 - 200036_s_at (numeric)],\n 373: [373 - 200037_s_at (numeric)],\n 374: [374 - 200038_s_at (numeric)],\n 375: [375 - 200039_s_at (numeric)],\n 376: [376 - 200040_at (numeric)],\n 377: [377 - 200041_s_at (numeric)],\n 378: [378 - 200042_at (numeric)],\n 379: [379 - 200043_at (numeric)],\n 380: [380 - 200044_at (numeric)],\n 381: [381 - 200046_at (numeric)],\n 382: [382 - 200047_s_at (numeric)],\n 383: [383 - 200048_s_at (numeric)],\n 384: [384 - 200050_at (numeric)],\n 385: [385 - 200052_s_at (numeric)],\n 386: [386 - 200053_at (numeric)],\n 387: [387 - 200055_at (numeric)],\n 388: [388 - 200056_s_at (numeric)],\n 389: [389 - 200057_s_at (numeric)],\n 390: [390 - 200058_s_at (numeric)],\n 391: [391 - 200059_s_at (numeric)],\n 392: [392 - 200060_s_at (numeric)],\n 393: [393 - 200061_s_at (numeric)],\n 394: [394 - 200062_s_at (numeric)],\n 395: [395 - 200063_s_at (numeric)],\n 396: [396 - 200064_at (numeric)],\n 397: [397 - 200065_s_at (numeric)],\n 398: [398 - 200066_at (numeric)],\n 399: [399 - 200067_x_at (numeric)],\n 400: [400 - 200068_s_at (numeric)],\n 401: [401 - 200071_at (numeric)],\n 402: [402 - 200072_s_at (numeric)],\n 403: [403 - 200073_s_at (numeric)],\n 404: [404 - 200074_s_at (numeric)],\n 405: [405 - 200075_s_at (numeric)],\n 406: [406 - 200077_s_at (numeric)],\n 407: [407 - 200078_s_at (numeric)],\n 408: [408 - 200079_s_at (numeric)],\n 409: [409 - 200080_s_at (numeric)],\n 410: [410 - 200081_s_at (numeric)],\n 411: [411 - 200082_s_at (numeric)],\n 412: [412 - 200083_at (numeric)],\n 413: [413 - 200084_at (numeric)],\n 414: [414 - 200085_s_at (numeric)],\n 415: [415 - 200086_s_at (numeric)],\n 416: [416 - 200087_s_at (numeric)],\n 417: [417 - 200088_x_at (numeric)],\n 418: [418 - 200089_s_at (numeric)],\n 419: [419 - 200090_at (numeric)],\n 420: [420 - 200091_s_at (numeric)],\n 421: [421 - 200092_s_at (numeric)],\n 422: [422 - 200093_s_at (numeric)],\n 423: [423 - 200094_s_at (numeric)],\n 424: [424 - 200095_x_at (numeric)],\n 425: [425 - 200096_s_at (numeric)],\n 426: [426 - 200097_s_at (numeric)],\n 427: [427 - 200098_s_at (numeric)],\n 428: [428 - 200099_s_at (numeric)],\n 429: [429 - 200593_s_at (numeric)],\n 430: [430 - 200594_x_at (numeric)],\n 431: [431 - 200595_s_at (numeric)],\n 432: [432 - 200596_s_at (numeric)],\n 433: [433 - 200598_s_at (numeric)],\n 434: [434 - 200599_s_at (numeric)],\n 435: [435 - 200600_at (numeric)],\n 436: [436 - 200601_at (numeric)],\n 437: [437 - 200602_at (numeric)],\n 438: [438 - 200603_at (numeric)],\n 439: [439 - 200604_s_at (numeric)],\n 440: [440 - 200605_s_at (numeric)],\n 441: [441 - 200606_at (numeric)],\n 442: [442 - 200607_s_at (numeric)],\n 443: [443 - 200608_s_at (numeric)],\n 444: [444 - 200609_s_at (numeric)],\n 445: [445 - 200610_s_at (numeric)],\n 446: [446 - 200611_s_at (numeric)],\n 447: [447 - 200612_s_at (numeric)],\n 448: [448 - 200613_at (numeric)],\n 449: [449 - 200614_at (numeric)],\n 450: [450 - 200615_s_at (numeric)],\n 451: [451 - 200616_s_at (numeric)],\n 452: [452 - 200617_at (numeric)],\n 453: [453 - 200618_at (numeric)],\n 454: [454 - 200619_at (numeric)],\n 455: [455 - 200620_at (numeric)],\n 456: [456 - 200621_at (numeric)],\n 457: [457 - 200623_s_at (numeric)],\n 458: [458 - 200624_s_at (numeric)],\n 459: [459 - 200625_s_at (numeric)],\n 460: [460 - 200626_s_at (numeric)],\n 461: [461 - 200627_at (numeric)],\n 462: [462 - 200628_s_at (numeric)],\n 463: [463 - 200629_at (numeric)],\n 464: [464 - 200630_x_at (numeric)],\n 465: [465 - 200631_s_at (numeric)],\n 466: [466 - 200632_s_at (numeric)],\n 467: [467 - 200633_at (numeric)],\n 468: [468 - 200634_at (numeric)],\n 469: [469 - 200635_s_at (numeric)],\n 470: [470 - 200636_s_at (numeric)],\n 471: [471 - 200637_s_at (numeric)],\n 472: [472 - 200638_s_at (numeric)],\n 473: [473 - 200639_s_at (numeric)],\n 474: [474 - 200640_at (numeric)],\n 475: [475 - 200641_s_at (numeric)],\n 476: [476 - 200642_at (numeric)],\n 477: [477 - 200643_at (numeric)],\n 478: [478 - 200644_at (numeric)],\n 479: [479 - 200645_at (numeric)],\n 480: [480 - 200646_s_at (numeric)],\n 481: [481 - 200647_x_at (numeric)],\n 482: [482 - 200648_s_at (numeric)],\n 483: [483 - 200649_at (numeric)],\n 484: [484 - 200650_s_at (numeric)],\n 485: [485 - 200651_at (numeric)],\n 486: [486 - 200652_at (numeric)],\n 487: [487 - 200653_s_at (numeric)],\n 488: [488 - 200654_at (numeric)],\n 489: [489 - 200655_s_at (numeric)],\n 490: [490 - 200656_s_at (numeric)],\n 491: [491 - 200657_at (numeric)],\n 492: [492 - 200658_s_at (numeric)],\n 493: [493 - 200660_at (numeric)],\n 494: [494 - 200661_at (numeric)],\n 495: [495 - 200662_s_at (numeric)],\n 496: [496 - 200663_at (numeric)],\n 497: [497 - 200664_s_at (numeric)],\n 498: [498 - 200665_s_at (numeric)],\n 499: [499 - 200666_s_at (numeric)],\n 500: [500 - 200667_at (numeric)],\n 501: [501 - 200668_s_at (numeric)],\n 502: [502 - 200669_s_at (numeric)],\n 503: [503 - 200670_at (numeric)],\n 504: [504 - 200673_at (numeric)],\n 505: [505 - 200674_s_at (numeric)],\n 506: [506 - 200675_at (numeric)],\n 507: [507 - 200677_at (numeric)],\n 508: [508 - 200678_x_at (numeric)],\n 509: [509 - 200679_x_at (numeric)],\n 510: [510 - 200680_x_at (numeric)],\n 511: [511 - 200681_at (numeric)],\n 512: [512 - 200682_s_at (numeric)],\n 513: [513 - 200683_s_at (numeric)],\n 514: [514 - 200685_at (numeric)],\n 515: [515 - 200686_s_at (numeric)],\n 516: [516 - 200687_s_at (numeric)],\n 517: [517 - 200689_x_at (numeric)],\n 518: [518 - 200691_s_at (numeric)],\n 519: [519 - 200692_s_at (numeric)],\n 520: [520 - 200693_at (numeric)],\n 521: [521 - 200694_s_at (numeric)],\n 522: [522 - 200695_at (numeric)],\n 523: [523 - 200696_s_at (numeric)],\n 524: [524 - 200697_at (numeric)],\n 525: [525 - 200698_at (numeric)],\n 526: [526 - 200699_at (numeric)],\n 527: [527 - 200700_s_at (numeric)],\n 528: [528 - 200701_at (numeric)],\n 529: [529 - 200703_at (numeric)],\n 530: [530 - 200704_at (numeric)],\n 531: [531 - 200705_s_at (numeric)],\n 532: [532 - 200706_s_at (numeric)],\n 533: [533 - 200707_at (numeric)],\n 534: [534 - 200708_at (numeric)],\n 535: [535 - 200709_at (numeric)],\n 536: [536 - 200710_at (numeric)],\n 537: [537 - 200711_s_at (numeric)],\n 538: [538 - 200712_s_at (numeric)],\n 539: [539 - 200713_s_at (numeric)],\n 540: [540 - 200714_x_at (numeric)],\n 541: [541 - 200715_x_at (numeric)],\n 542: [542 - 200716_x_at (numeric)],\n 543: [543 - 200717_x_at (numeric)],\n 544: [544 - 200718_s_at (numeric)],\n 545: [545 - 200720_s_at (numeric)],\n 546: [546 - 200722_s_at (numeric)],\n 547: [547 - 200723_s_at (numeric)],\n 548: [548 - 200725_x_at (numeric)],\n 549: [549 - 200726_at (numeric)],\n 550: [550 - 200727_s_at (numeric)],\n 551: [551 - 200728_at (numeric)],\n 552: [552 - 200729_s_at (numeric)],\n 553: [553 - 200730_s_at (numeric)],\n 554: [554 - 200731_s_at (numeric)],\n 555: [555 - 200732_s_at (numeric)],\n 556: [556 - 200733_s_at (numeric)],\n 557: [557 - 200734_s_at (numeric)],\n 558: [558 - 200735_x_at (numeric)],\n 559: [559 - 200736_s_at (numeric)],\n 560: [560 - 200737_at (numeric)],\n 561: [561 - 200738_s_at (numeric)],\n 562: [562 - 200739_s_at (numeric)],\n 563: [563 - 200740_s_at (numeric)],\n 564: [564 - 200741_s_at (numeric)],\n 565: [565 - 200742_s_at (numeric)],\n 566: [566 - 200743_s_at (numeric)],\n 567: [567 - 200744_s_at (numeric)],\n 568: [568 - 200745_s_at (numeric)],\n 569: [569 - 200746_s_at (numeric)],\n 570: [570 - 200747_s_at (numeric)],\n 571: [571 - 200748_s_at (numeric)],\n 572: [572 - 200749_at (numeric)],\n 573: [573 - 200750_s_at (numeric)],\n 574: [574 - 200751_s_at (numeric)],\n 575: [575 - 200753_x_at (numeric)],\n 576: [576 - 200754_x_at (numeric)],\n 577: [577 - 200755_s_at (numeric)],\n 578: [578 - 200756_x_at (numeric)],\n 579: [579 - 200757_s_at (numeric)],\n 580: [580 - 200758_s_at (numeric)],\n 581: [581 - 200759_x_at (numeric)],\n 582: [582 - 200760_s_at (numeric)],\n 583: [583 - 200761_s_at (numeric)],\n 584: [584 - 200762_at (numeric)],\n 585: [585 - 200763_s_at (numeric)],\n 586: [586 - 200764_s_at (numeric)],\n 587: [587 - 200765_x_at (numeric)],\n 588: [588 - 200766_at (numeric)],\n 589: [589 - 200768_s_at (numeric)],\n 590: [590 - 200770_s_at (numeric)],\n 591: [591 - 200771_at (numeric)],\n 592: [592 - 200772_x_at (numeric)],\n 593: [593 - 200773_x_at (numeric)],\n 594: [594 - 200774_at (numeric)],\n 595: [595 - 200775_s_at (numeric)],\n 596: [596 - 200776_s_at (numeric)],\n 597: [597 - 200777_s_at (numeric)],\n 598: [598 - 200778_s_at (numeric)],\n 599: [599 - 200779_at (numeric)],\n 600: [600 - 200780_x_at (numeric)],\n 601: [601 - 200781_s_at (numeric)],\n 602: [602 - 200782_at (numeric)],\n 603: [603 - 200783_s_at (numeric)],\n 604: [604 - 200786_at (numeric)],\n 605: [605 - 200787_s_at (numeric)],\n 606: [606 - 200788_s_at (numeric)],\n 607: [607 - 200789_at (numeric)],\n 608: [608 - 200790_at (numeric)],\n 609: [609 - 200791_s_at (numeric)],\n 610: [610 - 200792_at (numeric)],\n 611: [611 - 200793_s_at (numeric)],\n 612: [612 - 200794_x_at (numeric)],\n 613: [613 - 200795_at (numeric)],\n 614: [614 - 200797_s_at (numeric)],\n 615: [615 - 200798_x_at (numeric)],\n 616: [616 - 200799_at (numeric)],\n 617: [617 - 200800_s_at (numeric)],\n 618: [618 - 200801_x_at (numeric)],\n 619: [619 - 200802_at (numeric)],\n 620: [620 - 200803_s_at (numeric)],\n 621: [621 - 200804_at (numeric)],\n 622: [622 - 200805_at (numeric)],\n 623: [623 - 200806_s_at (numeric)],\n 624: [624 - 200807_s_at (numeric)],\n 625: [625 - 200808_s_at (numeric)],\n 626: [626 - 200809_x_at (numeric)],\n 627: [627 - 200810_s_at (numeric)],\n 628: [628 - 200811_at (numeric)],\n 629: [629 - 200812_at (numeric)],\n 630: [630 - 200814_at (numeric)],\n 631: [631 - 200815_s_at (numeric)],\n 632: [632 - 200816_s_at (numeric)],\n 633: [633 - 200817_x_at (numeric)],\n 634: [634 - 200818_at (numeric)],\n 635: [635 - 200819_s_at (numeric)],\n 636: [636 - 200820_at (numeric)],\n 637: [637 - 200821_at (numeric)],\n 638: [638 - 200822_x_at (numeric)],\n 639: [639 - 200823_x_at (numeric)],\n 640: [640 - 200824_at (numeric)],\n 641: [641 - 200825_s_at (numeric)],\n 642: [642 - 200826_at (numeric)],\n 643: [643 - 200827_at (numeric)],\n 644: [644 - 200828_s_at (numeric)],\n 645: [645 - 200829_x_at (numeric)],\n 646: [646 - 200830_at (numeric)],\n 647: [647 - 200831_s_at (numeric)],\n 648: [648 - 200832_s_at (numeric)],\n 649: [649 - 200833_s_at (numeric)],\n 650: [650 - 200834_s_at (numeric)],\n 651: [651 - 200837_at (numeric)],\n 652: [652 - 200838_at (numeric)],\n 653: [653 - 200839_s_at (numeric)],\n 654: [654 - 200840_at (numeric)],\n 655: [655 - 200842_s_at (numeric)],\n 656: [656 - 200843_s_at (numeric)],\n 657: [657 - 200844_s_at (numeric)],\n 658: [658 - 200845_s_at (numeric)],\n 659: [659 - 200846_s_at (numeric)],\n 660: [660 - 200847_s_at (numeric)],\n 661: [661 - 200848_at (numeric)],\n 662: [662 - 200849_s_at (numeric)],\n 663: [663 - 200850_s_at (numeric)],\n 664: [664 - 200851_s_at (numeric)],\n 665: [665 - 200852_x_at (numeric)],\n 666: [666 - 200853_at (numeric)],\n 667: [667 - 200858_s_at (numeric)],\n 668: [668 - 200859_x_at (numeric)],\n 669: [669 - 200860_s_at (numeric)],\n 670: [670 - 200862_at (numeric)],\n 671: [671 - 200863_s_at (numeric)],\n 672: [672 - 200864_s_at (numeric)],\n 673: [673 - 200866_s_at (numeric)],\n 674: [674 - 200868_s_at (numeric)],\n 675: [675 - 200869_at (numeric)],\n 676: [676 - 200870_at (numeric)],\n 677: [677 - 200871_s_at (numeric)],\n 678: [678 - 200872_at (numeric)],\n 679: [679 - 200873_s_at (numeric)],\n 680: [680 - 200875_s_at (numeric)],\n 681: [681 - 200876_s_at (numeric)],\n 682: [682 - 200877_at (numeric)],\n 683: [683 - 200878_at (numeric)],\n 684: [684 - 200880_at (numeric)],\n 685: [685 - 200881_s_at (numeric)],\n 686: [686 - 200882_s_at (numeric)],\n 687: [687 - 200883_at (numeric)],\n 688: [688 - 200884_at (numeric)],\n 689: [689 - 200885_at (numeric)],\n 690: [690 - 200886_s_at (numeric)],\n 691: [691 - 200887_s_at (numeric)],\n 692: [692 - 200888_s_at (numeric)],\n 693: [693 - 200889_s_at (numeric)],\n 694: [694 - 200891_s_at (numeric)],\n 695: [695 - 200892_s_at (numeric)],\n 696: [696 - 200893_at (numeric)],\n 697: [697 - 200894_s_at (numeric)],\n 698: [698 - 200895_s_at (numeric)],\n 699: [699 - 200896_x_at (numeric)],\n 700: [700 - 200897_s_at (numeric)],\n 701: [701 - 200898_s_at (numeric)],\n 702: [702 - 200899_s_at (numeric)],\n 703: [703 - 200900_s_at (numeric)],\n 704: [704 - 200901_s_at (numeric)],\n 705: [705 - 200902_at (numeric)],\n 706: [706 - 200903_s_at (numeric)],\n 707: [707 - 200904_at (numeric)],\n 708: [708 - 200905_x_at (numeric)],\n 709: [709 - 200906_s_at (numeric)],\n 710: [710 - 200907_s_at (numeric)],\n 711: [711 - 200909_s_at (numeric)],\n 712: [712 - 200910_at (numeric)],\n 713: [713 - 200911_s_at (numeric)],\n 714: [714 - 200912_s_at (numeric)],\n 715: [715 - 200914_x_at (numeric)],\n 716: [716 - 200915_x_at (numeric)],\n 717: [717 - 200916_at (numeric)],\n 718: [718 - 200918_s_at (numeric)],\n 719: [719 - 200919_at (numeric)],\n 720: [720 - 200920_s_at (numeric)],\n 721: [721 - 200921_s_at (numeric)],\n 722: [722 - 200922_at (numeric)],\n 723: [723 - 200923_at (numeric)],\n 724: [724 - 200924_s_at (numeric)],\n 725: [725 - 200925_at (numeric)],\n 726: [726 - 200926_at (numeric)],\n 727: [727 - 200927_s_at (numeric)],\n 728: [728 - 200929_at (numeric)],\n 729: [729 - 200931_s_at (numeric)],\n 730: [730 - 200932_s_at (numeric)],\n 731: [731 - 200933_x_at (numeric)],\n 732: [732 - 200934_at (numeric)],\n 733: [733 - 200935_at (numeric)],\n 734: [734 - 200936_at (numeric)],\n 735: [735 - 200937_s_at (numeric)],\n 736: [736 - 200940_s_at (numeric)],\n 737: [737 - 200941_at (numeric)],\n 738: [738 - 200942_s_at (numeric)],\n 739: [739 - 200943_at (numeric)],\n 740: [740 - 200944_s_at (numeric)],\n 741: [741 - 200945_s_at (numeric)],\n 742: [742 - 200946_x_at (numeric)],\n 743: [743 - 200947_s_at (numeric)],\n 744: [744 - 200948_at (numeric)],\n 745: [745 - 200949_x_at (numeric)],\n 746: [746 - 200950_at (numeric)],\n 747: [747 - 200953_s_at (numeric)],\n 748: [748 - 200954_at (numeric)],\n 749: [749 - 200955_at (numeric)],\n 750: [750 - 200956_s_at (numeric)],\n 751: [751 - 200957_s_at (numeric)],\n 752: [752 - 200958_s_at (numeric)],\n 753: [753 - 200959_at (numeric)],\n 754: [754 - 200960_x_at (numeric)],\n 755: [755 - 200961_at (numeric)],\n 756: [756 - 200962_at (numeric)],\n 757: [757 - 200963_x_at (numeric)],\n 758: [758 - 200964_at (numeric)],\n 759: [759 - 200965_s_at (numeric)],\n 760: [760 - 200966_x_at (numeric)],\n 761: [761 - 200967_at (numeric)],\n 762: [762 - 200968_s_at (numeric)],\n 763: [763 - 200969_at (numeric)],\n 764: [764 - 200970_s_at (numeric)],\n 765: [765 - 200971_s_at (numeric)],\n 766: [766 - 200972_at (numeric)],\n 767: [767 - 200973_s_at (numeric)],\n 768: [768 - 200974_at (numeric)],\n 769: [769 - 200975_at (numeric)],\n 770: [770 - 200976_s_at (numeric)],\n 771: [771 - 200977_s_at (numeric)],\n 772: [772 - 200978_at (numeric)],\n 773: [773 - 200980_s_at (numeric)],\n 774: [774 - 200981_x_at (numeric)],\n 775: [775 - 200982_s_at (numeric)],\n 776: [776 - 200983_x_at (numeric)],\n 777: [777 - 200984_s_at (numeric)],\n 778: [778 - 200985_s_at (numeric)],\n 779: [779 - 200986_at (numeric)],\n 780: [780 - 200989_at (numeric)],\n 781: [781 - 200990_at (numeric)],\n 782: [782 - 200991_s_at (numeric)],\n 783: [783 - 200992_at (numeric)],\n 784: [784 - 200993_at (numeric)],\n 785: [785 - 200994_at (numeric)],\n 786: [786 - 200996_at (numeric)],\n 787: [787 - 200997_at (numeric)],\n 788: [788 - 200998_s_at (numeric)],\n 789: [789 - 200999_s_at (numeric)],\n 790: [790 - 201000_at (numeric)],\n 791: [791 - 201001_s_at (numeric)],\n 792: [792 - 201002_s_at (numeric)],\n 793: [793 - 201003_x_at (numeric)],\n 794: [794 - 201004_at (numeric)],\n 795: [795 - 201005_at (numeric)],\n 796: [796 - 201007_at (numeric)],\n 797: [797 - 201008_s_at (numeric)],\n 798: [798 - 201009_s_at (numeric)],\n 799: [799 - 201010_s_at (numeric)],\n 800: [800 - 201011_at (numeric)],\n 801: [801 - 201012_at (numeric)],\n 802: [802 - 201013_s_at (numeric)],\n 803: [803 - 201014_s_at (numeric)],\n 804: [804 - 201015_s_at (numeric)],\n 805: [805 - 201016_at (numeric)],\n 806: [806 - 201017_at (numeric)],\n 807: [807 - 201018_at (numeric)],\n 808: [808 - 201019_s_at (numeric)],\n 809: [809 - 201020_at (numeric)],\n 810: [810 - 201021_s_at (numeric)],\n 811: [811 - 201022_s_at (numeric)],\n 812: [812 - 201023_at (numeric)],\n 813: [813 - 201024_x_at (numeric)],\n 814: [814 - 201028_s_at (numeric)],\n 815: [815 - 201029_s_at (numeric)],\n 816: [816 - 201030_x_at (numeric)],\n 817: [817 - 201031_s_at (numeric)],\n 818: [818 - 201032_at (numeric)],\n 819: [819 - 201033_x_at (numeric)],\n 820: [820 - 201034_at (numeric)],\n 821: [821 - 201036_s_at (numeric)],\n 822: [822 - 201037_at (numeric)],\n 823: [823 - 201041_s_at (numeric)],\n 824: [824 - 201042_at (numeric)],\n 825: [825 - 201043_s_at (numeric)],\n 826: [826 - 201044_x_at (numeric)],\n 827: [827 - 201046_s_at (numeric)],\n 828: [828 - 201047_x_at (numeric)],\n 829: [829 - 201049_s_at (numeric)],\n 830: [830 - 201050_at (numeric)],\n 831: [831 - 201051_at (numeric)],\n 832: [832 - 201053_s_at (numeric)],\n 833: [833 - 201054_at (numeric)],\n 834: [834 - 201056_at (numeric)],\n 835: [835 - 201057_s_at (numeric)],\n 836: [836 - 201058_s_at (numeric)],\n 837: [837 - 201059_at (numeric)],\n 838: [838 - 201060_x_at (numeric)],\n 839: [839 - 201061_s_at (numeric)],\n 840: [840 - 201063_at (numeric)],\n 841: [841 - 201064_s_at (numeric)],\n 842: [842 - 201065_s_at (numeric)],\n 843: [843 - 201066_at (numeric)],\n 844: [844 - 201067_at (numeric)],\n 845: [845 - 201068_s_at (numeric)],\n 846: [846 - 201069_at (numeric)],\n 847: [847 - 201070_x_at (numeric)],\n 848: [848 - 201071_x_at (numeric)],\n 849: [849 - 201074_at (numeric)],\n 850: [850 - 201075_s_at (numeric)],\n 851: [851 - 201077_s_at (numeric)],\n 852: [852 - 201078_at (numeric)],\n 853: [853 - 201079_at (numeric)],\n 854: [854 - 201084_s_at (numeric)],\n 855: [855 - 201086_x_at (numeric)],\n 856: [856 - 201088_at (numeric)],\n 857: [857 - 201089_at (numeric)],\n 858: [858 - 201090_x_at (numeric)],\n 859: [859 - 201091_s_at (numeric)],\n 860: [860 - 201092_at (numeric)],\n 861: [861 - 201093_x_at (numeric)],\n 862: [862 - 201094_at (numeric)],\n 863: [863 - 201095_at (numeric)],\n 864: [864 - 201096_s_at (numeric)],\n 865: [865 - 201097_s_at (numeric)],\n 866: [866 - 201098_at (numeric)],\n 867: [867 - 201099_at (numeric)],\n 868: [868 - 201100_s_at (numeric)],\n 869: [869 - 201101_s_at (numeric)],\n 870: [870 - 201102_s_at (numeric)],\n 871: [871 - 201103_x_at (numeric)],\n 872: [872 - 201104_x_at (numeric)],\n 873: [873 - 201105_at (numeric)],\n 874: [874 - 201106_at (numeric)],\n 875: [875 - 201108_s_at (numeric)],\n 876: [876 - 201109_s_at (numeric)],\n 877: [877 - 201110_s_at (numeric)],\n 878: [878 - 201111_at (numeric)],\n 879: [879 - 201112_s_at (numeric)],\n 880: [880 - 201113_at (numeric)],\n 881: [881 - 201114_x_at (numeric)],\n 882: [882 - 201115_at (numeric)],\n 883: [883 - 201116_s_at (numeric)],\n 884: [884 - 201117_s_at (numeric)],\n 885: [885 - 201118_at (numeric)],\n 886: [886 - 201119_s_at (numeric)],\n 887: [887 - 201120_s_at (numeric)],\n 888: [888 - 201121_s_at (numeric)],\n 889: [889 - 201122_x_at (numeric)],\n 890: [890 - 201123_s_at (numeric)],\n 891: [891 - 201125_s_at (numeric)],\n 892: [892 - 201126_s_at (numeric)],\n 893: [893 - 201127_s_at (numeric)],\n 894: [894 - 201128_s_at (numeric)],\n 895: [895 - 201129_at (numeric)],\n 896: [896 - 201130_s_at (numeric)],\n 897: [897 - 201131_s_at (numeric)],\n 898: [898 - 201132_at (numeric)],\n 899: [899 - 201133_s_at (numeric)],\n 900: [900 - 201134_x_at (numeric)],\n 901: [901 - 201135_at (numeric)],\n 902: [902 - 201136_at (numeric)],\n 903: [903 - 201137_s_at (numeric)],\n 904: [904 - 201138_s_at (numeric)],\n 905: [905 - 201139_s_at (numeric)],\n 906: [906 - 201140_s_at (numeric)],\n 907: [907 - 201141_at (numeric)],\n 908: [908 - 201142_at (numeric)],\n 909: [909 - 201144_s_at (numeric)],\n 910: [910 - 201145_at (numeric)],\n 911: [911 - 201146_at (numeric)],\n 912: [912 - 201147_s_at (numeric)],\n 913: [913 - 201148_s_at (numeric)],\n 914: [914 - 201149_s_at (numeric)],\n 915: [915 - 201150_s_at (numeric)],\n 916: [916 - 201151_s_at (numeric)],\n 917: [917 - 201152_s_at (numeric)],\n 918: [918 - 201153_s_at (numeric)],\n 919: [919 - 201154_x_at (numeric)],\n 920: [920 - 201156_s_at (numeric)],\n 921: [921 - 201157_s_at (numeric)],\n 922: [922 - 201160_s_at (numeric)],\n 923: [923 - 201161_s_at (numeric)],\n 924: [924 - 201162_at (numeric)],\n 925: [925 - 201163_s_at (numeric)],\n 926: [926 - 201164_s_at (numeric)],\n 927: [927 - 201165_s_at (numeric)],\n 928: [928 - 201166_s_at (numeric)],\n 929: [929 - 201168_x_at (numeric)],\n 930: [930 - 201169_s_at (numeric)],\n 931: [931 - 201170_s_at (numeric)],\n 932: [932 - 201172_x_at (numeric)],\n 933: [933 - 201173_x_at (numeric)],\n 934: [934 - 201174_s_at (numeric)],\n 935: [935 - 201175_at (numeric)],\n 936: [936 - 201176_s_at (numeric)],\n 937: [937 - 201177_s_at (numeric)],\n 938: [938 - 201178_at (numeric)],\n 939: [939 - 201179_s_at (numeric)],\n 940: [940 - 201180_s_at (numeric)],\n 941: [941 - 201183_s_at (numeric)],\n 942: [942 - 201184_s_at (numeric)],\n 943: [943 - 201185_at (numeric)],\n 944: [944 - 201186_at (numeric)],\n 945: [945 - 201188_s_at (numeric)],\n 946: [946 - 201189_s_at (numeric)],\n 947: [947 - 201190_s_at (numeric)],\n 948: [948 - 201191_at (numeric)],\n 949: [949 - 201192_s_at (numeric)],\n 950: [950 - 201193_at (numeric)],\n 951: [951 - 201194_at (numeric)],\n 952: [952 - 201195_s_at (numeric)],\n 953: [953 - 201196_s_at (numeric)],\n 954: [954 - 201197_at (numeric)],\n 955: [955 - 201198_s_at (numeric)],\n 956: [956 - 201199_s_at (numeric)],\n 957: [957 - 201200_at (numeric)],\n 958: [958 - 201201_at (numeric)],\n 959: [959 - 201202_at (numeric)],\n 960: [960 - 201204_s_at (numeric)],\n 961: [961 - 201206_s_at (numeric)],\n 962: [962 - 201209_at (numeric)],\n 963: [963 - 201210_at (numeric)],\n 964: [964 - 201212_at (numeric)],\n 965: [965 - 201214_s_at (numeric)],\n 966: [966 - 201215_at (numeric)],\n 967: [967 - 201216_at (numeric)],\n 968: [968 - 201217_x_at (numeric)],\n 969: [969 - 201218_at (numeric)],\n 970: [970 - 201219_at (numeric)],\n 971: [971 - 201220_x_at (numeric)],\n 972: [972 - 201221_s_at (numeric)],\n 973: [973 - 201222_s_at (numeric)],\n 974: [974 - 201223_s_at (numeric)],\n 975: [975 - 201224_s_at (numeric)],\n 976: [976 - 201225_s_at (numeric)],\n 977: [977 - 201226_at (numeric)],\n 978: [978 - 201227_s_at (numeric)],\n 979: [979 - 201231_s_at (numeric)],\n 980: [980 - 201232_s_at (numeric)],\n 981: [981 - 201234_at (numeric)],\n 982: [982 - 201235_s_at (numeric)],\n 983: [983 - 201236_s_at (numeric)],\n 984: [984 - 201237_at (numeric)],\n 985: [985 - 201238_s_at (numeric)],\n 986: [986 - 201239_s_at (numeric)],\n 987: [987 - 201240_s_at (numeric)],\n 988: [988 - 201241_at (numeric)],\n 989: [989 - 201242_s_at (numeric)],\n 990: [990 - 201243_s_at (numeric)],\n 991: [991 - 201245_s_at (numeric)],\n 992: [992 - 201250_s_at (numeric)],\n 993: [993 - 201251_at (numeric)],\n 994: [994 - 201252_at (numeric)],\n 995: [995 - 201253_s_at (numeric)],\n 996: [996 - 201254_x_at (numeric)],\n 997: [997 - 201255_x_at (numeric)],\n 998: [998 - 201256_at (numeric)],\n 999: [999 - 201257_x_at (numeric)],\n 1000: [1000 - 201258_at (numeric)],\n 1001: [1001 - 201259_s_at (numeric)],\n 1002: [1002 - 201260_s_at (numeric)],\n 1003: [1003 - 201261_x_at (numeric)],\n 1004: [1004 - 201262_s_at (numeric)],\n 1005: [1005 - 201263_at (numeric)],\n 1006: [1006 - 201264_at (numeric)],\n 1007: [1007 - 201266_at (numeric)],\n 1008: [1008 - 201267_s_at (numeric)],\n 1009: [1009 - 201268_at (numeric)],\n 1010: [1010 - 201271_s_at (numeric)],\n 1011: [1011 - 201272_at (numeric)],\n 1012: [1012 - 201273_s_at (numeric)],\n 1013: [1013 - 201274_at (numeric)],\n 1014: [1014 - 201275_at (numeric)],\n 1015: [1015 - 201276_at (numeric)],\n 1016: [1016 - 201277_s_at (numeric)],\n 1017: [1017 - 201278_at (numeric)],\n 1018: [1018 - 201279_s_at (numeric)],\n 1019: [1019 - 201280_s_at (numeric)],\n 1020: [1020 - 201281_at (numeric)],\n 1021: [1021 - 201285_at (numeric)],\n 1022: [1022 - 201286_at (numeric)],\n 1023: [1023 - 201287_s_at (numeric)],\n 1024: [1024 - 201288_at (numeric)],\n 1025: [1025 - 201289_at (numeric)],\n 1026: [1026 - 201290_at (numeric)],\n 1027: [1027 - 201291_s_at (numeric)],\n 1028: [1028 - 201292_at (numeric)],\n 1029: [1029 - 201293_x_at (numeric)],\n 1030: 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201896_s_at (numeric)],\n 1488: [1488 - 201897_s_at (numeric)],\n 1489: [1489 - 201898_s_at (numeric)],\n 1490: [1490 - 201899_s_at (numeric)],\n 1491: [1491 - 201900_s_at (numeric)],\n 1492: [1492 - 201901_s_at (numeric)],\n 1493: [1493 - 201903_at (numeric)],\n 1494: [1494 - 201906_s_at (numeric)],\n 1495: [1495 - 201908_at (numeric)],\n 1496: [1496 - 201909_at (numeric)],\n 1497: [1497 - 201910_at (numeric)],\n 1498: [1498 - 201911_s_at (numeric)],\n 1499: [1499 - 201912_s_at (numeric)],\n 1500: [1500 - 201913_s_at (numeric)],\n 1501: [1501 - 201916_s_at (numeric)],\n 1502: [1502 - 201917_s_at (numeric)],\n 1503: [1503 - 201918_at (numeric)],\n 1504: [1504 - 201919_at (numeric)],\n 1505: [1505 - 201920_at (numeric)],\n 1506: [1506 - 201921_at (numeric)],\n 1507: [1507 - 201922_at (numeric)],\n 1508: [1508 - 201923_at (numeric)],\n 1509: [1509 - 201924_at (numeric)],\n 1510: [1510 - 201925_s_at (numeric)],\n 1511: [1511 - 201926_s_at (numeric)],\n 1512: [1512 - 201928_at 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201960_s_at (numeric)],\n 1539: [1539 - 201963_at (numeric)],\n 1540: [1540 - 201966_at (numeric)],\n 1541: [1541 - 201967_at (numeric)],\n 1542: [1542 - 201968_s_at (numeric)],\n 1543: [1543 - 201970_s_at (numeric)],\n 1544: [1544 - 201971_s_at (numeric)],\n 1545: [1545 - 201972_at (numeric)],\n 1546: [1546 - 201973_s_at (numeric)],\n 1547: [1547 - 201975_at (numeric)],\n 1548: [1548 - 201976_s_at (numeric)],\n 1549: [1549 - 201980_s_at (numeric)],\n 1550: [1550 - 201983_s_at (numeric)],\n 1551: [1551 - 201984_s_at (numeric)],\n 1552: [1552 - 201986_at (numeric)],\n 1553: [1553 - 201987_at (numeric)],\n 1554: [1554 - 201989_s_at (numeric)],\n 1555: [1555 - 201990_s_at (numeric)],\n 1556: [1556 - 201991_s_at (numeric)],\n 1557: [1557 - 201993_x_at (numeric)],\n 1558: [1558 - 201994_at (numeric)],\n 1559: [1559 - 201995_at (numeric)],\n 1560: [1560 - 201998_at (numeric)],\n 1561: [1561 - 201999_s_at (numeric)],\n 1562: [1562 - 202001_s_at (numeric)],\n 1563: [1563 - 202003_s_at (numeric)],\n 1564: [1564 - 202004_x_at (numeric)],\n 1565: [1565 - 202005_at (numeric)],\n 1566: [1566 - 202006_at (numeric)],\n 1567: [1567 - 202007_at (numeric)],\n 1568: [1568 - 202008_s_at (numeric)],\n 1569: [1569 - 202011_at (numeric)],\n 1570: [1570 - 202012_s_at (numeric)],\n 1571: [1571 - 202016_at (numeric)],\n 1572: [1572 - 202017_at (numeric)],\n 1573: [1573 - 202018_s_at (numeric)],\n 1574: [1574 - 202020_s_at (numeric)],\n 1575: [1575 - 202021_x_at (numeric)],\n 1576: [1576 - 202023_at (numeric)],\n 1577: [1577 - 202024_at (numeric)],\n 1578: [1578 - 202026_at (numeric)],\n 1579: [1579 - 202028_s_at (numeric)],\n 1580: [1580 - 202029_x_at (numeric)],\n 1581: [1581 - 202031_s_at (numeric)],\n 1582: [1582 - 202033_s_at (numeric)],\n 1583: [1583 - 202034_x_at (numeric)],\n 1584: [1584 - 202035_s_at (numeric)],\n 1585: [1585 - 202036_s_at (numeric)],\n 1586: [1586 - 202037_s_at (numeric)],\n 1587: [1587 - 202038_at (numeric)],\n 1588: [1588 - 202040_s_at (numeric)],\n 1589: [1589 - 202041_s_at (numeric)],\n 1590: [1590 - 202042_at (numeric)],\n 1591: [1591 - 202043_s_at (numeric)],\n 1592: [1592 - 202047_s_at (numeric)],\n 1593: [1593 - 202051_s_at (numeric)],\n 1594: [1594 - 202052_s_at (numeric)],\n 1595: [1595 - 202053_s_at (numeric)],\n 1596: [1596 - 202054_s_at (numeric)],\n 1597: [1597 - 202060_at (numeric)],\n 1598: [1598 - 202061_s_at (numeric)],\n 1599: [1599 - 202066_at (numeric)],\n 1600: [1600 - 202068_s_at (numeric)],\n 1601: [1601 - 202071_at (numeric)],\n 1602: [1602 - 202072_at (numeric)],\n 1603: [1603 - 202073_at (numeric)],\n 1604: [1604 - 202074_s_at (numeric)],\n 1605: [1605 - 202075_s_at (numeric)],\n 1606: [1606 - 202076_at (numeric)],\n 1607: [1607 - 202077_at (numeric)],\n 1608: [1608 - 202078_at (numeric)],\n 1609: [1609 - 202081_at (numeric)],\n 1610: [1610 - 202082_s_at (numeric)],\n 1611: [1611 - 202084_s_at (numeric)],\n 1612: [1612 - 202085_at (numeric)],\n 1613: [1613 - 202086_at (numeric)],\n 1614: [1614 - 202087_s_at (numeric)],\n 1615: [1615 - 202088_at (numeric)],\n 1616: [1616 - 202089_s_at (numeric)],\n 1617: [1617 - 202090_s_at (numeric)],\n 1618: [1618 - 202095_s_at (numeric)],\n 1619: [1619 - 202096_s_at (numeric)],\n 1620: [1620 - 202097_at (numeric)],\n 1621: [1621 - 202098_s_at (numeric)],\n 1622: [1622 - 202100_at (numeric)],\n 1623: [1623 - 202102_s_at (numeric)],\n 1624: [1624 - 202105_at (numeric)],\n 1625: [1625 - 202107_s_at (numeric)],\n 1626: [1626 - 202108_at (numeric)],\n 1627: [1627 - 202109_at (numeric)],\n 1628: [1628 - 202110_at (numeric)],\n 1629: [1629 - 202112_at (numeric)],\n 1630: [1630 - 202113_s_at (numeric)],\n 1631: [1631 - 202117_at (numeric)],\n 1632: [1632 - 202118_s_at (numeric)],\n 1633: [1633 - 202119_s_at (numeric)],\n 1634: [1634 - 202120_x_at (numeric)],\n 1635: [1635 - 202121_s_at (numeric)],\n 1636: [1636 - 202122_s_at (numeric)],\n 1637: [1637 - 202123_s_at (numeric)],\n 1638: [1638 - 202124_s_at (numeric)],\n 1639: [1639 - 202125_s_at (numeric)],\n 1640: [1640 - 202126_at (numeric)],\n 1641: [1641 - 202129_s_at (numeric)],\n 1642: [1642 - 202130_at (numeric)],\n 1643: [1643 - 202131_s_at (numeric)],\n 1644: [1644 - 202133_at (numeric)],\n 1645: [1645 - 202136_at (numeric)],\n 1646: [1646 - 202138_x_at (numeric)],\n 1647: [1647 - 202139_at (numeric)],\n 1648: [1648 - 202141_s_at (numeric)],\n 1649: [1649 - 202142_at (numeric)],\n 1650: [1650 - 202143_s_at (numeric)],\n 1651: [1651 - 202144_s_at (numeric)],\n 1652: [1652 - 202145_at (numeric)],\n 1653: [1653 - 202146_at (numeric)],\n 1654: [1654 - 202147_s_at (numeric)],\n 1655: [1655 - 202148_s_at (numeric)],\n 1656: [1656 - 202149_at (numeric)],\n 1657: [1657 - 202153_s_at (numeric)],\n 1658: [1658 - 202154_x_at (numeric)],\n 1659: [1659 - 202157_s_at (numeric)],\n 1660: [1660 - 202160_at (numeric)],\n 1661: [1661 - 202163_s_at (numeric)],\n 1662: [1662 - 202164_s_at (numeric)],\n 1663: [1663 - 202166_s_at (numeric)],\n 1664: [1664 - 202168_at (numeric)],\n 1665: [1665 - 202169_s_at (numeric)],\n 1666: [1666 - 202171_at (numeric)],\n 1667: [1667 - 202172_at (numeric)],\n 1668: [1668 - 202173_s_at (numeric)],\n 1669: [1669 - 202174_s_at (numeric)],\n 1670: [1670 - 202177_at (numeric)],\n 1671: [1671 - 202180_s_at (numeric)],\n 1672: [1672 - 202181_at (numeric)],\n 1673: [1673 - 202184_s_at (numeric)],\n 1674: [1674 - 202185_at (numeric)],\n 1675: [1675 - 202187_s_at (numeric)],\n 1676: [1676 - 202188_at (numeric)],\n 1677: [1677 - 202189_x_at (numeric)],\n 1678: [1678 - 202191_s_at (numeric)],\n 1679: [1679 - 202193_at (numeric)],\n 1680: [1680 - 202194_at (numeric)],\n 1681: [1681 - 202200_s_at (numeric)],\n 1682: [1682 - 202201_at (numeric)],\n 1683: [1683 - 202202_s_at (numeric)],\n 1684: [1684 - 202206_at (numeric)],\n 1685: [1685 - 202207_at (numeric)],\n 1686: [1686 - 202208_s_at (numeric)],\n 1687: [1687 - 202209_at (numeric)],\n 1688: [1688 - 202211_at (numeric)],\n 1689: [1689 - 202214_s_at (numeric)],\n 1690: [1690 - 202217_at (numeric)],\n 1691: [1691 - 202219_at (numeric)],\n 1692: [1692 - 202220_at (numeric)],\n 1693: [1693 - 202222_s_at (numeric)],\n 1694: [1694 - 202223_at (numeric)],\n 1695: [1695 - 202225_at (numeric)],\n 1696: [1696 - 202227_s_at (numeric)],\n 1697: [1697 - 202228_s_at (numeric)],\n 1698: [1698 - 202230_s_at (numeric)],\n 1699: [1699 - 202231_at (numeric)],\n 1700: [1700 - 202232_s_at (numeric)],\n 1701: [1701 - 202233_s_at (numeric)],\n 1702: [1702 - 202236_s_at (numeric)],\n 1703: [1703 - 202237_at (numeric)],\n 1704: [1704 - 202238_s_at (numeric)],\n 1705: [1705 - 202239_at (numeric)],\n 1706: [1706 - 202241_at (numeric)],\n 1707: [1707 - 202242_at (numeric)],\n 1708: [1708 - 202243_s_at (numeric)],\n 1709: [1709 - 202244_at (numeric)],\n 1710: [1710 - 202245_at (numeric)],\n 1711: [1711 - 202246_s_at (numeric)],\n 1712: [1712 - 202252_at (numeric)],\n 1713: [1713 - 202258_s_at (numeric)],\n 1714: [1714 - 202259_s_at (numeric)],\n 1715: [1715 - 202260_s_at (numeric)],\n 1716: [1716 - 202261_at 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202298_at (numeric)],\n 1743: [1743 - 202299_s_at (numeric)],\n 1744: [1744 - 202300_at (numeric)],\n 1745: [1745 - 202302_s_at (numeric)],\n 1746: [1746 - 202303_x_at (numeric)],\n 1747: [1747 - 202304_at (numeric)],\n 1748: [1748 - 202306_at (numeric)],\n 1749: [1749 - 202307_s_at (numeric)],\n 1750: [1750 - 202308_at (numeric)],\n 1751: [1751 - 202309_at (numeric)],\n 1752: [1752 - 202310_s_at (numeric)],\n 1753: [1753 - 202311_s_at (numeric)],\n 1754: [1754 - 202313_at (numeric)],\n 1755: [1755 - 202314_at (numeric)],\n 1756: [1756 - 202315_s_at (numeric)],\n 1757: [1757 - 202318_s_at (numeric)],\n 1758: [1758 - 202320_at (numeric)],\n 1759: [1759 - 202322_s_at (numeric)],\n 1760: [1760 - 202324_s_at (numeric)],\n 1761: [1761 - 202325_s_at (numeric)],\n 1762: [1762 - 202330_s_at (numeric)],\n 1763: [1763 - 202333_s_at (numeric)],\n 1764: [1764 - 202336_s_at (numeric)],\n 1765: [1765 - 202340_x_at (numeric)],\n 1766: [1766 - 202341_s_at (numeric)],\n 1767: [1767 - 202342_s_at 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- 202382_s_at (numeric)],\n 1794: [1794 - 202387_at (numeric)],\n 1795: [1795 - 202388_at (numeric)],\n 1796: [1796 - 202391_at (numeric)],\n 1797: [1797 - 202393_s_at (numeric)],\n 1798: [1798 - 202395_at (numeric)],\n 1799: [1799 - 202396_at (numeric)],\n 1800: [1800 - 202397_at (numeric)],\n 1801: [1801 - 202399_s_at (numeric)],\n 1802: [1802 - 202403_s_at (numeric)],\n 1803: [1803 - 202404_s_at (numeric)],\n 1804: [1804 - 202406_s_at (numeric)],\n 1805: [1805 - 202408_s_at (numeric)],\n 1806: [1806 - 202409_at (numeric)],\n 1807: [1807 - 202410_x_at (numeric)],\n 1808: [1808 - 202411_at (numeric)],\n 1809: [1809 - 202412_s_at (numeric)],\n 1810: [1810 - 202413_s_at (numeric)],\n 1811: [1811 - 202416_at (numeric)],\n 1812: [1812 - 202418_at (numeric)],\n 1813: [1813 - 202420_s_at (numeric)],\n 1814: [1814 - 202421_at (numeric)],\n 1815: [1815 - 202423_at (numeric)],\n 1816: [1816 - 202424_at (numeric)],\n 1817: [1817 - 202425_x_at (numeric)],\n 1818: [1818 - 202427_s_at (numeric)],\n 1819: [1819 - 202428_x_at (numeric)],\n 1820: [1820 - 202429_s_at (numeric)],\n 1821: [1821 - 202430_s_at (numeric)],\n 1822: [1822 - 202431_s_at (numeric)],\n 1823: [1823 - 202432_at (numeric)],\n 1824: [1824 - 202433_at (numeric)],\n 1825: [1825 - 202435_s_at (numeric)],\n 1826: [1826 - 202436_s_at (numeric)],\n 1827: [1827 - 202437_s_at (numeric)],\n 1828: [1828 - 202440_s_at (numeric)],\n 1829: [1829 - 202441_at (numeric)],\n 1830: [1830 - 202442_at (numeric)],\n 1831: [1831 - 202443_x_at (numeric)],\n 1832: [1832 - 202446_s_at (numeric)],\n 1833: [1833 - 202447_at (numeric)],\n 1834: [1834 - 202449_s_at (numeric)],\n 1835: [1835 - 202450_s_at (numeric)],\n 1836: [1836 - 202454_s_at (numeric)],\n 1837: [1837 - 202457_s_at (numeric)],\n 1838: [1838 - 202458_at (numeric)],\n 1839: [1839 - 202460_s_at (numeric)],\n 1840: [1840 - 202462_s_at (numeric)],\n 1841: [1841 - 202464_s_at (numeric)],\n 1842: [1842 - 202465_at (numeric)],\n 1843: [1843 - 202466_at (numeric)],\n 1844: [1844 - 202467_s_at (numeric)],\n 1845: [1845 - 202468_s_at (numeric)],\n 1846: [1846 - 202469_s_at (numeric)],\n 1847: [1847 - 202471_s_at (numeric)],\n 1848: [1848 - 202475_at (numeric)],\n 1849: [1849 - 202478_at (numeric)],\n 1850: [1850 - 202481_at (numeric)],\n 1851: [1851 - 202483_s_at (numeric)],\n 1852: [1852 - 202484_s_at (numeric)],\n 1853: [1853 - 202487_s_at (numeric)],\n 1854: [1854 - 202488_s_at (numeric)],\n 1855: [1855 - 202489_s_at (numeric)],\n 1856: [1856 - 202497_x_at (numeric)],\n 1857: [1857 - 202498_s_at (numeric)],\n 1858: [1858 - 202499_s_at (numeric)],\n 1859: [1859 - 202501_at (numeric)],\n 1860: [1860 - 202502_at (numeric)],\n 1861: [1861 - 202503_s_at (numeric)],\n 1862: [1862 - 202504_at (numeric)],\n 1863: [1863 - 202505_at (numeric)],\n 1864: [1864 - 202506_at (numeric)],\n 1865: [1865 - 202510_s_at (numeric)],\n 1866: [1866 - 202511_s_at (numeric)],\n 1867: [1867 - 202514_at (numeric)],\n 1868: [1868 - 202515_at (numeric)],\n 1869: [1869 - 202520_s_at (numeric)],\n 1870: [1870 - 202521_at (numeric)],\n 1871: [1871 - 202522_at (numeric)],\n 1872: [1872 - 202525_at (numeric)],\n 1873: [1873 - 202527_s_at (numeric)],\n 1874: [1874 - 202528_at (numeric)],\n 1875: [1875 - 202529_at (numeric)],\n 1876: [1876 - 202530_at (numeric)],\n 1877: [1877 - 202531_at (numeric)],\n 1878: [1878 - 202534_x_at (numeric)],\n 1879: [1879 - 202536_at (numeric)],\n 1880: [1880 - 202537_s_at (numeric)],\n 1881: [1881 - 202538_s_at (numeric)],\n 1882: [1882 - 202539_s_at (numeric)],\n 1883: [1883 - 202540_s_at (numeric)],\n 1884: [1884 - 202542_s_at (numeric)],\n 1885: [1885 - 202543_s_at (numeric)],\n 1886: [1886 - 202544_at (numeric)],\n 1887: [1887 - 202545_at (numeric)],\n 1888: [1888 - 202546_at (numeric)],\n 1889: [1889 - 202548_s_at (numeric)],\n 1890: [1890 - 202551_s_at (numeric)],\n 1891: [1891 - 202553_s_at (numeric)],\n 1892: [1892 - 202554_s_at (numeric)],\n 1893: [1893 - 202555_s_at (numeric)],\n 1894: [1894 - 202557_at (numeric)],\n 1895: [1895 - 202558_s_at (numeric)],\n 1896: [1896 - 202559_x_at (numeric)],\n 1897: [1897 - 202560_s_at (numeric)],\n 1898: [1898 - 202561_at (numeric)],\n 1899: [1899 - 202562_s_at (numeric)],\n 1900: [1900 - 202565_s_at (numeric)],\n 1901: [1901 - 202566_s_at (numeric)],\n 1902: [1902 - 202567_at (numeric)],\n 1903: [1903 - 202575_at (numeric)],\n 1904: [1904 - 202579_x_at (numeric)],\n 1905: [1905 - 202580_x_at (numeric)],\n 1906: [1906 - 202581_at (numeric)],\n 1907: [1907 - 202582_s_at (numeric)],\n 1908: [1908 - 202583_s_at (numeric)],\n 1909: [1909 - 202587_s_at (numeric)],\n 1910: [1910 - 202589_at (numeric)],\n 1911: [1911 - 202591_s_at (numeric)],\n 1912: [1912 - 202592_at (numeric)],\n 1913: [1913 - 202593_s_at (numeric)],\n 1914: [1914 - 202595_s_at (numeric)],\n 1915: [1915 - 202596_at (numeric)],\n 1916: [1916 - 202597_at (numeric)],\n 1917: [1917 - 202598_at (numeric)],\n 1918: [1918 - 202599_s_at (numeric)],\n 1919: [1919 - 202600_s_at (numeric)],\n 1920: [1920 - 202602_s_at (numeric)],\n 1921: [1921 - 202603_at (numeric)],\n 1922: [1922 - 202605_at (numeric)],\n 1923: [1923 - 202606_s_at (numeric)],\n 1924: [1924 - 202609_at (numeric)],\n 1925: [1925 - 202610_s_at (numeric)],\n 1926: [1926 - 202613_at (numeric)],\n 1927: [1927 - 202614_at (numeric)],\n 1928: [1928 - 202615_at (numeric)],\n 1929: [1929 - 202619_s_at (numeric)],\n 1930: [1930 - 202620_s_at (numeric)],\n 1931: [1931 - 202623_at (numeric)],\n 1932: [1932 - 202625_at (numeric)],\n 1933: [1933 - 202626_s_at (numeric)],\n 1934: [1934 - 202627_s_at (numeric)],\n 1935: [1935 - 202628_s_at (numeric)],\n 1936: [1936 - 202629_at (numeric)],\n 1937: [1937 - 202630_at (numeric)],\n 1938: [1938 - 202633_at (numeric)],\n 1939: [1939 - 202634_at (numeric)],\n 1940: [1940 - 202635_s_at (numeric)],\n 1941: [1941 - 202636_at (numeric)],\n 1942: [1942 - 202637_s_at (numeric)],\n 1943: [1943 - 202638_s_at (numeric)],\n 1944: [1944 - 202641_at (numeric)],\n 1945: [1945 - 202643_s_at (numeric)],\n 1946: [1946 - 202644_s_at (numeric)],\n 1947: [1947 - 202646_s_at (numeric)],\n 1948: [1948 - 202649_x_at (numeric)],\n 1949: [1949 - 202651_at (numeric)],\n 1950: [1950 - 202653_s_at (numeric)],\n 1951: [1951 - 202654_x_at (numeric)],\n 1952: [1952 - 202655_at (numeric)],\n 1953: [1953 - 202656_s_at (numeric)],\n 1954: [1954 - 202657_s_at (numeric)],\n 1955: [1955 - 202658_at (numeric)],\n 1956: [1956 - 202659_at (numeric)],\n 1957: [1957 - 202660_at (numeric)],\n 1958: [1958 - 202664_at (numeric)],\n 1959: [1959 - 202666_s_at (numeric)],\n 1960: [1960 - 202668_at (numeric)],\n 1961: [1961 - 202669_s_at (numeric)],\n 1962: [1962 - 202671_s_at (numeric)],\n 1963: [1963 - 202672_s_at (numeric)],\n 1964: [1964 - 202673_at (numeric)],\n 1965: [1965 - 202675_at (numeric)],\n 1966: [1966 - 202677_at (numeric)],\n 1967: [1967 - 202678_at (numeric)],\n 1968: [1968 - 202679_at (numeric)],\n 1969: [1969 - 202680_at (numeric)],\n 1970: [1970 - 202682_s_at (numeric)],\n 1971: [1971 - 202686_s_at (numeric)],\n 1972: [1972 - 202687_s_at (numeric)],\n 1973: [1973 - 202688_at (numeric)],\n 1974: [1974 - 202690_s_at (numeric)],\n 1975: [1975 - 202693_s_at (numeric)],\n 1976: [1976 - 202697_at (numeric)],\n 1977: [1977 - 202698_x_at (numeric)],\n 1978: [1978 - 202704_at (numeric)],\n 1979: [1979 - 202705_at (numeric)],\n 1980: [1980 - 202708_s_at (numeric)],\n 1981: [1981 - 202709_at (numeric)],\n 1982: [1982 - 202710_at (numeric)],\n 1983: [1983 - 202712_s_at (numeric)],\n 1984: [1984 - 202715_at (numeric)],\n 1985: [1985 - 202718_at (numeric)],\n 1986: [1986 - 202719_s_at (numeric)],\n 1987: [1987 - 202720_at (numeric)],\n 1988: [1988 - 202721_s_at (numeric)],\n 1989: [1989 - 202722_s_at (numeric)],\n 1990: [1990 - 202724_s_at (numeric)],\n 1991: [1991 - 202727_s_at (numeric)],\n 1992: [1992 - 202729_s_at (numeric)],\n 1993: [1993 - 202731_at (numeric)],\n 1994: [1994 - 202732_at (numeric)],\n 1995: [1995 - 202733_at (numeric)],\n 1996: [1996 - 202735_at (numeric)],\n 1997: [1997 - 202736_s_at (numeric)],\n 1998: [1998 - 202737_s_at (numeric)],\n 1999: [1999 - 202738_s_at (numeric)],\n 2000: [2000 - 202740_at (numeric)],\n 2001: [2001 - 202741_at (numeric)],\n 2002: [2002 - 202742_s_at (numeric)],\n 2003: [2003 - 202743_at (numeric)],\n 2004: [2004 - 202746_at (numeric)],\n 2005: [2005 - 202747_s_at (numeric)],\n 2006: [2006 - 202748_at (numeric)],\n 2007: [2007 - 202749_at (numeric)],\n 2008: [2008 - 202752_x_at (numeric)],\n 2009: [2009 - 202753_at (numeric)],\n 2010: [2010 - 202754_at (numeric)],\n 2011: [2011 - 202756_s_at (numeric)],\n 2012: [2012 - 202758_s_at (numeric)],\n 2013: [2013 - 202759_s_at (numeric)],\n 2014: [2014 - 202760_s_at (numeric)],\n 2015: [2015 - 202761_s_at (numeric)],\n 2016: [2016 - 202763_at (numeric)],\n 2017: [2017 - 202765_s_at (numeric)],\n 2018: [2018 - 202766_s_at (numeric)],\n 2019: [2019 - 202767_at (numeric)],\n 2020: [2020 - 202768_at (numeric)],\n 2021: [2021 - 202769_at (numeric)],\n 2022: [2022 - 202770_s_at (numeric)],\n 2023: [2023 - 202771_at (numeric)],\n 2024: [2024 - 202772_at (numeric)],\n 2025: [2025 - 202776_at (numeric)],\n 2026: [2026 - 202777_at (numeric)],\n 2027: [2027 - 202778_s_at (numeric)],\n 2028: [2028 - 202779_s_at (numeric)],\n 2029: [2029 - 202780_at (numeric)],\n 2030: [2030 - 202783_at (numeric)],\n 2031: [2031 - 202785_at (numeric)],\n 2032: [2032 - 202786_at (numeric)],\n 2033: [2033 - 202789_at (numeric)],\n 2034: [2034 - 202790_at (numeric)],\n 2035: [2035 - 202795_x_at (numeric)],\n 2036: [2036 - 202797_at (numeric)],\n 2037: [2037 - 202798_at (numeric)],\n 2038: [2038 - 202800_at (numeric)],\n 2039: [2039 - 202803_s_at (numeric)],\n 2040: [2040 - 202804_at (numeric)],\n 2041: [2041 - 202806_at (numeric)],\n 2042: [2042 - 202808_at (numeric)],\n 2043: [2043 - 202809_s_at (numeric)],\n 2044: [2044 - 202810_at (numeric)],\n 2045: [2045 - 202813_at (numeric)],\n 2046: [2046 - 202814_s_at (numeric)],\n 2047: [2047 - 202820_at (numeric)],\n 2048: [2048 - 202822_at (numeric)],\n 2049: [2049 - 202824_s_at (numeric)],\n 2050: [2050 - 202825_at (numeric)],\n 2051: [2051 - 202826_at (numeric)],\n 2052: [2052 - 202827_s_at (numeric)],\n 2053: [2053 - 202829_s_at (numeric)],\n 2054: [2054 - 202831_at (numeric)],\n 2055: [2055 - 202832_at (numeric)],\n 2056: [2056 - 202833_s_at (numeric)],\n 2057: [2057 - 202834_at (numeric)],\n 2058: [2058 - 202836_s_at (numeric)],\n 2059: [2059 - 202838_at (numeric)],\n 2060: [2060 - 202839_s_at (numeric)],\n 2061: [2061 - 202842_s_at (numeric)],\n 2062: [2062 - 202844_s_at (numeric)],\n 2063: [2063 - 202845_s_at (numeric)],\n 2064: [2064 - 202846_s_at (numeric)],\n 2065: [2065 - 202850_at (numeric)],\n 2066: [2066 - 202853_s_at (numeric)],\n 2067: [2067 - 202854_at (numeric)],\n 2068: [2068 - 202856_s_at (numeric)],\n 2069: [2069 - 202857_at (numeric)],\n 2070: [2070 - 202858_at (numeric)],\n 2071: [2071 - 202859_x_at (numeric)],\n 2072: [2072 - 202861_at (numeric)],\n 2073: [2073 - 202864_s_at (numeric)],\n 2074: [2074 - 202868_s_at (numeric)],\n 2075: [2075 - 202869_at (numeric)],\n 2076: [2076 - 202870_s_at (numeric)],\n 2077: [2077 - 202871_at (numeric)],\n 2078: [2078 - 202874_s_at (numeric)],\n 2079: [2079 - 202878_s_at (numeric)],\n 2080: [2080 - 202882_x_at (numeric)],\n 2081: [2081 - 202887_s_at (numeric)],\n 2082: [2082 - 202888_s_at (numeric)],\n 2083: [2083 - 202889_x_at (numeric)],\n 2084: [2084 - 202890_at (numeric)],\n 2085: [2085 - 202893_at (numeric)],\n 2086: [2086 - 202894_at (numeric)],\n 2087: [2087 - 202899_s_at (numeric)],\n 2088: [2088 - 202900_s_at (numeric)],\n 2089: [2089 - 202901_x_at (numeric)],\n 2090: [2090 - 202902_s_at (numeric)],\n 2091: [2091 - 202905_x_at (numeric)],\n 2092: [2092 - 202906_s_at (numeric)],\n 2093: [2093 - 202907_s_at (numeric)],\n 2094: [2094 - 202908_at (numeric)],\n 2095: [2095 - 202909_at (numeric)],\n 2096: [2096 - 202910_s_at (numeric)],\n 2097: [2097 - 202911_at (numeric)],\n 2098: [2098 - 202912_at (numeric)],\n 2099: [2099 - 202917_s_at (numeric)],\n 2100: [2100 - 202918_s_at (numeric)],\n 2101: [2101 - 202919_at (numeric)],\n 2102: [2102 - 202920_at (numeric)],\n 2103: [2103 - 202922_at (numeric)],\n 2104: [2104 - 202923_s_at (numeric)],\n 2105: [2105 - 202925_s_at (numeric)],\n 2106: [2106 - 202929_s_at (numeric)],\n 2107: [2107 - 202930_s_at (numeric)],\n 2108: [2108 - 202931_x_at (numeric)],\n 2109: [2109 - 202932_at (numeric)],\n 2110: [2110 - 202933_s_at (numeric)],\n 2111: [2111 - 202934_at (numeric)],\n 2112: [2112 - 202935_s_at (numeric)],\n 2113: [2113 - 202936_s_at (numeric)],\n 2114: [2114 - 202939_at (numeric)],\n 2115: [2115 - 202941_at (numeric)],\n 2116: [2116 - 202942_at (numeric)],\n 2117: [2117 - 202946_s_at (numeric)],\n 2118: [2118 - 202948_at (numeric)],\n 2119: [2119 - 202949_s_at (numeric)],\n 2120: [2120 - 202950_at (numeric)],\n 2121: [2121 - 202951_at (numeric)],\n 2122: [2122 - 202952_s_at (numeric)],\n 2123: [2123 - 202953_at (numeric)],\n 2124: [2124 - 202954_at (numeric)],\n 2125: [2125 - 202956_at (numeric)],\n 2126: [2126 - 202957_at (numeric)],\n 2127: [2127 - 202960_s_at (numeric)],\n 2128: [2128 - 202961_s_at (numeric)],\n 2129: [2129 - 202962_at (numeric)],\n 2130: [2130 - 202963_at (numeric)],\n 2131: [2131 - 202965_s_at (numeric)],\n 2132: [2132 - 202966_at (numeric)],\n 2133: [2133 - 202967_at (numeric)],\n 2134: [2134 - 202969_at (numeric)],\n 2135: [2135 - 202971_s_at (numeric)],\n 2136: [2136 - 202973_x_at (numeric)],\n 2137: [2137 - 202975_s_at (numeric)],\n 2138: [2138 - 202976_s_at (numeric)],\n 2139: [2139 - 202981_x_at (numeric)],\n 2140: [2140 - 202983_at (numeric)],\n 2141: [2141 - 202985_s_at (numeric)],\n 2142: [2142 - 202988_s_at (numeric)],\n 2143: [2143 - 202990_at (numeric)],\n 2144: [2144 - 202991_at (numeric)],\n 2145: [2145 - 202992_at (numeric)],\n 2146: [2146 - 202994_s_at (numeric)],\n 2147: [2147 - 202995_s_at (numeric)],\n 2148: [2148 - 202998_s_at (numeric)],\n 2149: [2149 - 203002_at (numeric)],\n 2150: [2150 - 203006_at (numeric)],\n 2151: [2151 - 203007_x_at (numeric)],\n 2152: [2152 - 203008_x_at (numeric)],\n 2153: [2153 - 203011_at (numeric)],\n 2154: [2154 - 203012_x_at (numeric)],\n 2155: [2155 - 203020_at (numeric)],\n 2156: [2156 - 203021_at (numeric)],\n 2157: [2157 - 203022_at (numeric)],\n 2158: [2158 - 203024_s_at (numeric)],\n 2159: [2159 - 203028_s_at (numeric)],\n 2160: [2160 - 203029_s_at (numeric)],\n 2161: [2161 - 203030_s_at (numeric)],\n 2162: [2162 - 203033_x_at (numeric)],\n 2163: [2163 - 203034_s_at (numeric)],\n 2164: [2164 - 203035_s_at (numeric)],\n 2165: [2165 - 203037_s_at (numeric)],\n 2166: [2166 - 203038_at (numeric)],\n 2167: [2167 - 203039_s_at (numeric)],\n 2168: [2168 - 203041_s_at (numeric)],\n 2169: [2169 - 203042_at (numeric)],\n 2170: [2170 - 203043_at (numeric)],\n 2171: [2171 - 203044_at (numeric)],\n 2172: [2172 - 203046_s_at (numeric)],\n 2173: [2173 - 203048_s_at (numeric)],\n 2174: [2174 - 203049_s_at (numeric)],\n 2175: [2175 - 203053_at (numeric)],\n 2176: [2176 - 203054_s_at (numeric)],\n 2177: [2177 - 203058_s_at (numeric)],\n 2178: [2178 - 203060_s_at (numeric)],\n 2179: [2179 - 203065_s_at (numeric)],\n 2180: [2180 - 203066_at (numeric)],\n 2181: [2181 - 203067_at (numeric)],\n 2182: [2182 - 203074_at (numeric)],\n 2183: [2183 - 203075_at (numeric)],\n 2184: [2184 - 203076_s_at (numeric)],\n 2185: [2185 - 203083_at (numeric)],\n 2186: [2186 - 203085_s_at (numeric)],\n 2187: [2187 - 203087_s_at (numeric)],\n 2188: [2188 - 203088_at (numeric)],\n 2189: [2189 - 203095_at (numeric)],\n 2190: [2190 - 203097_s_at (numeric)],\n 2191: [2191 - 203102_s_at (numeric)],\n 2192: [2192 - 203103_s_at (numeric)],\n 2193: [2193 - 203104_at (numeric)],\n 2194: [2194 - 203107_x_at (numeric)],\n 2195: [2195 - 203108_at (numeric)],\n 2196: [2196 - 203113_s_at (numeric)],\n 2197: [2197 - 203116_s_at (numeric)],\n 2198: [2198 - 203120_at (numeric)],\n 2199: [2199 - 203123_s_at (numeric)],\n 2200: [2200 - 203124_s_at (numeric)],\n 2201: [2201 - 203126_at (numeric)],\n 2202: [2202 - 203127_s_at (numeric)],\n 2203: [2203 - 203129_s_at (numeric)],\n 2204: [2204 - 203130_s_at (numeric)],\n 2205: [2205 - 203131_at (numeric)],\n 2206: [2206 - 203132_at (numeric)],\n 2207: [2207 - 203133_at (numeric)],\n 2208: [2208 - 203136_at (numeric)],\n 2209: [2209 - 203137_at (numeric)],\n 2210: [2210 - 203138_at (numeric)],\n 2211: [2211 - 203139_at (numeric)],\n 2212: [2212 - 203140_at (numeric)],\n 2213: [2213 - 203145_at (numeric)],\n 2214: [2214 - 203148_s_at (numeric)],\n 2215: [2215 - 203149_at (numeric)],\n 2216: [2216 - 203152_at (numeric)],\n 2217: [2217 - 203153_at (numeric)],\n 2218: [2218 - 203154_s_at (numeric)],\n 2219: [2219 - 203156_at (numeric)],\n 2220: [2220 - 203166_at (numeric)],\n 2221: [2221 - 203167_at (numeric)],\n 2222: [2222 - 203178_at (numeric)],\n 2223: [2223 - 203180_at (numeric)],\n 2224: [2224 - 203181_x_at (numeric)],\n 2225: [2225 - 203182_s_at (numeric)],\n 2226: [2226 - 203184_at (numeric)],\n 2227: [2227 - 203186_s_at (numeric)],\n 2228: [2228 - 203190_at (numeric)],\n 2229: [2229 - 203196_at (numeric)],\n 2230: [2230 - 203200_s_at (numeric)],\n 2231: [2231 - 203207_s_at (numeric)],\n 2232: [2232 - 203208_s_at (numeric)],\n 2233: [2233 - 203209_at (numeric)],\n 2234: [2234 - 203211_s_at (numeric)],\n 2235: [2235 - 203213_at (numeric)],\n 2236: [2236 - 203214_x_at (numeric)],\n 2237: [2237 - 203215_s_at (numeric)],\n 2238: [2238 - 203216_s_at (numeric)],\n 2239: [2239 - 203221_at (numeric)],\n 2240: [2240 - 203222_s_at (numeric)],\n 2241: [2241 - 203224_at (numeric)],\n 2242: [2242 - 203225_s_at (numeric)],\n 2243: [2243 - 203227_s_at (numeric)],\n 2244: [2244 - 203228_at (numeric)],\n 2245: [2245 - 203229_s_at (numeric)],\n 2246: [2246 - 203231_s_at (numeric)],\n 2247: [2247 - 203232_s_at (numeric)],\n 2248: [2248 - 203233_at (numeric)],\n 2249: [2249 - 203236_s_at (numeric)],\n 2250: [2250 - 203238_s_at (numeric)],\n 2251: [2251 - 203240_at (numeric)],\n 2252: [2252 - 203242_s_at (numeric)],\n 2253: [2253 - 203243_s_at (numeric)],\n 2254: [2254 - 203247_s_at (numeric)],\n 2255: [2255 - 203250_at (numeric)],\n 2256: [2256 - 203252_at (numeric)],\n 2257: [2257 - 203254_s_at (numeric)],\n 2258: [2258 - 203255_at (numeric)],\n 2259: [2259 - 203256_at (numeric)],\n 2260: [2260 - 203257_s_at (numeric)],\n 2261: [2261 - 203259_s_at (numeric)],\n 2262: [2262 - 203261_at (numeric)],\n 2263: [2263 - 203262_s_at (numeric)],\n 2264: [2264 - 203269_at (numeric)],\n 2265: [2265 - 203274_at (numeric)],\n 2266: [2266 - 203276_at (numeric)],\n 2267: [2267 - 203282_at (numeric)],\n 2268: [2268 - 203284_s_at (numeric)],\n 2269: [2269 - 203286_at (numeric)],\n 2270: [2270 - 203287_at (numeric)],\n 2271: [2271 - 203290_at (numeric)],\n 2272: [2272 - 203295_s_at (numeric)],\n 2273: [2273 - 203296_s_at (numeric)],\n 2274: [2274 - 203300_x_at (numeric)],\n 2275: [2275 - 203302_at (numeric)],\n 2276: [2276 - 203303_at (numeric)],\n 2277: [2277 - 203304_at (numeric)],\n 2278: [2278 - 203305_at (numeric)],\n 2279: [2279 - 203306_s_at (numeric)],\n 2280: [2280 - 203310_at (numeric)],\n 2281: [2281 - 203312_x_at (numeric)],\n 2282: [2282 - 203313_s_at (numeric)],\n 2283: [2283 - 203315_at (numeric)],\n 2284: [2284 - 203316_s_at (numeric)],\n 2285: [2285 - 203318_s_at (numeric)],\n 2286: [2286 - 203319_s_at (numeric)],\n 2287: [2287 - 203321_s_at (numeric)],\n 2288: [2288 - 203323_at (numeric)],\n 2289: [2289 - 203324_s_at (numeric)],\n 2290: [2290 - 203325_s_at (numeric)],\n 2291: [2291 - 203327_at (numeric)],\n 2292: [2292 - 203329_at (numeric)],\n 2293: [2293 - 203333_at (numeric)],\n 2294: [2294 - 203335_at (numeric)],\n 2295: [2295 - 203336_s_at (numeric)],\n 2296: [2296 - 203338_at (numeric)],\n 2297: [2297 - 203341_at (numeric)],\n 2298: [2298 - 203343_at (numeric)],\n 2299: [2299 - 203344_s_at (numeric)],\n 2300: [2300 - 203345_s_at (numeric)],\n 2301: [2301 - 203346_s_at (numeric)],\n 2302: [2302 - 203348_s_at 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2687: [2687 - 204219_s_at (numeric)],\n 2688: [2688 - 204220_at (numeric)],\n 2689: [2689 - 204221_x_at (numeric)],\n 2690: [2690 - 204222_s_at (numeric)],\n 2691: [2691 - 204223_at (numeric)],\n 2692: [2692 - 204224_s_at (numeric)],\n 2693: [2693 - 204228_at (numeric)],\n 2694: [2694 - 204231_s_at (numeric)],\n 2695: [2695 - 204232_at (numeric)],\n 2696: [2696 - 204235_s_at (numeric)],\n 2697: [2697 - 204237_at (numeric)],\n 2698: [2698 - 204238_s_at (numeric)],\n 2699: [2699 - 204239_s_at (numeric)],\n 2700: [2700 - 204240_s_at (numeric)],\n 2701: [2701 - 204244_s_at (numeric)],\n 2702: [2702 - 204246_s_at (numeric)],\n 2703: [2703 - 204249_s_at (numeric)],\n 2704: [2704 - 204252_at (numeric)],\n 2705: [2705 - 204256_at (numeric)],\n 2706: [2706 - 204258_at (numeric)],\n 2707: [2707 - 204259_at (numeric)],\n 2708: [2708 - 204260_at (numeric)],\n 2709: [2709 - 204268_at (numeric)],\n 2710: [2710 - 204271_s_at (numeric)],\n 2711: [2711 - 204272_at (numeric)],\n 2712: [2712 - 204273_at (numeric)],\n 2713: [2713 - 204274_at (numeric)],\n 2714: [2714 - 204279_at (numeric)],\n 2715: [2715 - 204284_at (numeric)],\n 2716: [2716 - 204285_s_at (numeric)],\n 2717: [2717 - 204286_s_at (numeric)],\n 2718: [2718 - 204288_s_at (numeric)],\n 2719: [2719 - 204290_s_at (numeric)],\n 2720: [2720 - 204295_at (numeric)],\n 2721: [2721 - 204298_s_at (numeric)],\n 2722: [2722 - 204304_s_at (numeric)],\n 2723: [2723 - 204305_at (numeric)],\n 2724: [2724 - 204306_s_at (numeric)],\n 2725: [2725 - 204313_s_at (numeric)],\n 2726: [2726 - 204319_s_at (numeric)],\n 2727: [2727 - 204320_at (numeric)],\n 2728: [2728 - 204326_x_at (numeric)],\n 2729: [2729 - 204331_s_at (numeric)],\n 2730: [2730 - 204332_s_at (numeric)],\n 2731: [2731 - 204337_at (numeric)],\n 2732: [2732 - 204341_at (numeric)],\n 2733: [2733 - 204342_at (numeric)],\n 2734: [2734 - 204345_at (numeric)],\n 2735: [2735 - 204348_s_at (numeric)],\n 2736: [2736 - 204351_at (numeric)],\n 2737: [2737 - 204352_at (numeric)],\n 2738: [2738 - 204359_at (numeric)],\n 2739: [2739 - 204362_at (numeric)],\n 2740: [2740 - 204363_at (numeric)],\n 2741: [2741 - 204364_s_at (numeric)],\n 2742: [2742 - 204366_s_at (numeric)],\n 2743: [2743 - 204368_at (numeric)],\n 2744: [2744 - 204372_s_at (numeric)],\n 2745: [2745 - 204373_s_at (numeric)],\n 2746: [2746 - 204378_at (numeric)],\n 2747: [2747 - 204379_s_at (numeric)],\n 2748: [2748 - 204386_s_at (numeric)],\n 2749: [2749 - 204387_x_at (numeric)],\n 2750: [2750 - 204388_s_at (numeric)],\n 2751: [2751 - 204389_at (numeric)],\n 2752: [2752 - 204393_s_at (numeric)],\n 2753: [2753 - 204394_at (numeric)],\n 2754: [2754 - 204400_at (numeric)],\n 2755: [2755 - 204401_at (numeric)],\n 2756: [2756 - 204403_x_at (numeric)],\n 2757: [2757 - 204404_at (numeric)],\n 2758: [2758 - 204405_x_at (numeric)],\n 2759: [2759 - 204409_s_at (numeric)],\n 2760: [2760 - 204412_s_at (numeric)],\n 2761: [2761 - 204415_at (numeric)],\n 2762: [2762 - 204416_x_at (numeric)],\n 2763: [2763 - 204417_at 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- 204475_at (numeric)],\n 2790: [2790 - 204480_s_at (numeric)],\n 2791: [2791 - 204483_at (numeric)],\n 2792: [2792 - 204484_at (numeric)],\n 2793: [2793 - 204485_s_at (numeric)],\n 2794: [2794 - 204489_s_at (numeric)],\n 2795: [2795 - 204490_s_at (numeric)],\n 2796: [2796 - 204491_at (numeric)],\n 2797: [2797 - 204496_at (numeric)],\n 2798: [2798 - 204500_s_at (numeric)],\n 2799: [2799 - 204501_at (numeric)],\n 2800: [2800 - 204502_at (numeric)],\n 2801: [2801 - 204508_s_at (numeric)],\n 2802: [2802 - 204510_at (numeric)],\n 2803: [2803 - 204516_at (numeric)],\n 2804: [2804 - 204517_at (numeric)],\n 2805: [2805 - 204518_s_at (numeric)],\n 2806: [2806 - 204519_s_at (numeric)],\n 2807: [2807 - 204526_s_at (numeric)],\n 2808: [2808 - 204528_s_at (numeric)],\n 2809: [2809 - 204532_x_at (numeric)],\n 2810: [2810 - 204533_at (numeric)],\n 2811: [2811 - 204537_s_at (numeric)],\n 2812: [2812 - 204538_x_at (numeric)],\n 2813: [2813 - 204540_at (numeric)],\n 2814: [2814 - 204542_at 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204612_at (numeric)],\n 2841: [2841 - 204615_x_at (numeric)],\n 2842: [2842 - 204616_at (numeric)],\n 2843: [2843 - 204619_s_at (numeric)],\n 2844: [2844 - 204620_s_at (numeric)],\n 2845: [2845 - 204621_s_at (numeric)],\n 2846: [2846 - 204622_x_at (numeric)],\n 2847: [2847 - 204623_at (numeric)],\n 2848: [2848 - 204630_s_at (numeric)],\n 2849: [2849 - 204633_s_at (numeric)],\n 2850: [2850 - 204634_at (numeric)],\n 2851: [2851 - 204638_at (numeric)],\n 2852: [2852 - 204640_s_at (numeric)],\n 2853: [2853 - 204641_at (numeric)],\n 2854: [2854 - 204646_at (numeric)],\n 2855: [2855 - 204653_at (numeric)],\n 2856: [2856 - 204655_at (numeric)],\n 2857: [2857 - 204658_at (numeric)],\n 2858: [2858 - 204661_at (numeric)],\n 2859: [2859 - 204664_at (numeric)],\n 2860: [2860 - 204667_at (numeric)],\n 2861: [2861 - 204670_x_at (numeric)],\n 2862: [2862 - 204675_at (numeric)],\n 2863: [2863 - 204679_at (numeric)],\n 2864: [2864 - 204682_at (numeric)],\n 2865: [2865 - 204686_at (numeric)],\n 2866: [2866 - 204688_at (numeric)],\n 2867: [2867 - 204690_at (numeric)],\n 2868: [2868 - 204697_s_at (numeric)],\n 2869: [2869 - 204698_at (numeric)],\n 2870: [2870 - 204710_s_at (numeric)],\n 2871: [2871 - 204712_at (numeric)],\n 2872: [2872 - 204713_s_at (numeric)],\n 2873: [2873 - 204714_s_at (numeric)],\n 2874: [2874 - 204716_at (numeric)],\n 2875: [2875 - 204719_at (numeric)],\n 2876: [2876 - 204724_s_at (numeric)],\n 2877: [2877 - 204731_at (numeric)],\n 2878: [2878 - 204733_at (numeric)],\n 2879: [2879 - 204734_at (numeric)],\n 2880: [2880 - 204737_s_at (numeric)],\n 2881: [2881 - 204744_s_at (numeric)],\n 2882: [2882 - 204745_x_at (numeric)],\n 2883: [2883 - 204747_at (numeric)],\n 2884: [2884 - 204748_at (numeric)],\n 2885: [2885 - 204751_x_at (numeric)],\n 2886: [2886 - 204752_x_at (numeric)],\n 2887: [2887 - 204759_at (numeric)],\n 2888: [2888 - 204767_s_at (numeric)],\n 2889: [2889 - 204774_at (numeric)],\n 2890: [2890 - 204776_at (numeric)],\n 2891: [2891 - 204777_s_at (numeric)],\n 2892: [2892 - 204778_x_at (numeric)],\n 2893: [2893 - 204779_s_at (numeric)],\n 2894: [2894 - 204780_s_at (numeric)],\n 2895: [2895 - 204783_at (numeric)],\n 2896: [2896 - 204784_s_at (numeric)],\n 2897: [2897 - 204787_at (numeric)],\n 2898: [2898 - 204793_at (numeric)],\n 2899: [2899 - 204798_at (numeric)],\n 2900: [2900 - 204803_s_at (numeric)],\n 2901: [2901 - 204805_s_at (numeric)],\n 2902: [2902 - 204806_x_at (numeric)],\n 2903: [2903 - 204808_s_at (numeric)],\n 2904: [2904 - 204810_s_at (numeric)],\n 2905: [2905 - 204813_at (numeric)],\n 2906: [2906 - 204817_at (numeric)],\n 2907: [2907 - 204820_s_at (numeric)],\n 2908: [2908 - 204821_at (numeric)],\n 2909: [2909 - 204822_at (numeric)],\n 2910: [2910 - 204823_at (numeric)],\n 2911: [2911 - 204825_at (numeric)],\n 2912: [2912 - 204834_at (numeric)],\n 2913: [2913 - 204836_at (numeric)],\n 2914: [2914 - 204839_at (numeric)],\n 2915: [2915 - 204842_x_at (numeric)],\n 2916: [2916 - 204844_at (numeric)],\n 2917: [2917 - 204846_at (numeric)],\n 2918: [2918 - 204855_at (numeric)],\n 2919: [2919 - 204862_s_at (numeric)],\n 2920: [2920 - 204865_at (numeric)],\n 2921: [2921 - 204867_at (numeric)],\n 2922: [2922 - 204870_s_at (numeric)],\n 2923: [2923 - 204872_at (numeric)],\n 2924: [2924 - 204875_s_at (numeric)],\n 2925: [2925 - 204881_s_at (numeric)],\n 2926: [2926 - 204885_s_at (numeric)],\n 2927: [2927 - 204892_x_at (numeric)],\n 2928: [2928 - 204894_s_at (numeric)],\n 2929: [2929 - 204895_x_at (numeric)],\n 2930: [2930 - 204897_at (numeric)],\n 2931: [2931 - 204900_x_at (numeric)],\n 2932: [2932 - 204905_s_at (numeric)],\n 2933: [2933 - 204908_s_at (numeric)],\n 2934: [2934 - 204912_at (numeric)],\n 2935: [2935 - 204913_s_at (numeric)],\n 2936: [2936 - 204914_s_at (numeric)],\n 2937: [2937 - 204916_at (numeric)],\n 2938: [2938 - 204919_at (numeric)],\n 2939: [2939 - 204924_at (numeric)],\n 2940: [2940 - 204931_at (numeric)],\n 2941: [2941 - 204934_s_at (numeric)],\n 2942: [2942 - 204938_s_at 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205009_at (numeric)],\n 2969: [2969 - 205014_at (numeric)],\n 2970: [2970 - 205016_at (numeric)],\n 2971: [2971 - 205019_s_at (numeric)],\n 2972: [2972 - 205020_s_at (numeric)],\n 2973: [2973 - 205022_s_at (numeric)],\n 2974: [2974 - 205030_at (numeric)],\n 2975: [2975 - 205034_at (numeric)],\n 2976: [2976 - 205040_at (numeric)],\n 2977: [2977 - 205041_s_at (numeric)],\n 2978: [2978 - 205042_at (numeric)],\n 2979: [2979 - 205043_at (numeric)],\n 2980: [2980 - 205044_at (numeric)],\n 2981: [2981 - 205047_s_at (numeric)],\n 2982: [2982 - 205048_s_at (numeric)],\n 2983: [2983 - 205051_s_at (numeric)],\n 2984: [2984 - 205052_at (numeric)],\n 2985: [2985 - 205054_at (numeric)],\n 2986: [2986 - 205055_at (numeric)],\n 2987: [2987 - 205064_at (numeric)],\n 2988: [2988 - 205066_s_at (numeric)],\n 2989: [2989 - 205067_at (numeric)],\n 2990: [2990 - 205077_s_at (numeric)],\n 2991: [2991 - 205081_at (numeric)],\n 2992: [2992 - 205083_at (numeric)],\n 2993: [2993 - 205087_at (numeric)],\n 2994: [2994 - 205091_x_at (numeric)],\n 2995: [2995 - 205097_at (numeric)],\n 2996: [2996 - 205099_s_at (numeric)],\n 2997: [2997 - 205102_at (numeric)],\n 2998: [2998 - 205105_at (numeric)],\n 2999: [2999 - 205110_s_at (numeric)],\n 3000: [3000 - 205111_s_at (numeric)],\n 3001: [3001 - 205114_s_at (numeric)],\n 3002: [3002 - 205116_at (numeric)],\n 3003: [3003 - 205119_s_at (numeric)],\n 3004: [3004 - 205120_s_at (numeric)],\n 3005: [3005 - 205122_at (numeric)],\n 3006: [3006 - 205127_at (numeric)],\n 3007: [3007 - 205128_x_at (numeric)],\n 3008: [3008 - 205132_at (numeric)],\n 3009: [3009 - 205133_s_at (numeric)],\n 3010: [3010 - 205141_at (numeric)],\n 3011: [3011 - 205150_s_at (numeric)],\n 3012: [3012 - 205157_s_at (numeric)],\n 3013: [3013 - 205158_at (numeric)],\n 3014: [3014 - 205159_at (numeric)],\n 3015: [3015 - 205160_at (numeric)],\n 3016: [3016 - 205163_at (numeric)],\n 3017: [3017 - 205164_at (numeric)],\n 3018: [3018 - 205168_at (numeric)],\n 3019: [3019 - 205173_x_at (numeric)],\n 3020: [3020 - 205174_s_at (numeric)],\n 3021: [3021 - 205176_s_at (numeric)],\n 3022: [3022 - 205177_at (numeric)],\n 3023: [3023 - 205178_s_at (numeric)],\n 3024: [3024 - 205184_at (numeric)],\n 3025: [3025 - 205185_at (numeric)],\n 3026: [3026 - 205186_at (numeric)],\n 3027: [3027 - 205190_at (numeric)],\n 3028: [3028 - 205199_at (numeric)],\n 3029: [3029 - 205200_at (numeric)],\n 3030: [3030 - 205202_at (numeric)],\n 3031: [3031 - 205204_at (numeric)],\n 3032: [3032 - 205206_at (numeric)],\n 3033: [3033 - 205207_at (numeric)],\n 3034: [3034 - 205220_at (numeric)],\n 3035: [3035 - 205221_at (numeric)],\n 3036: [3036 - 205225_at (numeric)],\n 3037: [3037 - 205229_s_at (numeric)],\n 3038: [3038 - 205236_x_at (numeric)],\n 3039: [3039 - 205239_at (numeric)],\n 3040: [3040 - 205241_at (numeric)],\n 3041: [3041 - 205242_at (numeric)],\n 3042: [3042 - 205248_at (numeric)],\n 3043: [3043 - 205249_at (numeric)],\n 3044: [3044 - 205251_at (numeric)],\n 3045: [3045 - 205253_at 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207785_s_at (numeric)],\n 3530: [3530 - 207791_s_at (numeric)],\n 3531: [3531 - 207801_s_at (numeric)],\n 3532: [3532 - 207802_at (numeric)],\n 3533: [3533 - 207808_s_at (numeric)],\n 3534: [3534 - 207809_s_at (numeric)],\n 3535: [3535 - 207812_s_at (numeric)],\n 3536: [3536 - 207814_at (numeric)],\n 3537: [3537 - 207826_s_at (numeric)],\n 3538: [3538 - 207828_s_at (numeric)],\n 3539: [3539 - 207830_s_at (numeric)],\n 3540: [3540 - 207836_s_at (numeric)],\n 3541: [3541 - 207842_s_at (numeric)],\n 3542: [3542 - 207843_x_at (numeric)],\n 3543: [3543 - 207847_s_at (numeric)],\n 3544: [3544 - 207850_at (numeric)],\n 3545: [3545 - 207873_x_at (numeric)],\n 3546: [3546 - 207876_s_at (numeric)],\n 3547: [3547 - 207910_at (numeric)],\n 3548: [3548 - 207922_s_at (numeric)],\n 3549: [3549 - 207923_x_at (numeric)],\n 3550: [3550 - 207924_x_at (numeric)],\n 3551: [3551 - 207935_s_at (numeric)],\n 3552: [3552 - 207938_at (numeric)],\n 3553: [3553 - 207941_s_at (numeric)],\n 3554: [3554 - 207943_x_at (numeric)],\n 3555: [3555 - 207945_s_at (numeric)],\n 3556: [3556 - 207949_s_at (numeric)],\n 3557: [3557 - 207956_x_at (numeric)],\n 3558: [3558 - 207961_x_at (numeric)],\n 3559: [3559 - 207966_s_at (numeric)],\n 3560: [3560 - 207974_s_at (numeric)],\n 3561: [3561 - 207980_s_at (numeric)],\n 3562: [3562 - 207981_s_at (numeric)],\n 3563: [3563 - 207983_s_at (numeric)],\n 3564: [3564 - 207986_x_at (numeric)],\n 3565: [3565 - 207988_s_at (numeric)],\n 3566: [3566 - 207992_s_at (numeric)],\n 3567: [3567 - 207996_s_at (numeric)],\n 3568: [3568 - 208002_s_at (numeric)],\n 3569: [3569 - 208003_s_at (numeric)],\n 3570: [3570 - 208012_x_at (numeric)],\n 3571: [3571 - 208018_s_at (numeric)],\n 3572: [3572 - 208024_s_at (numeric)],\n 3573: [3573 - 208025_s_at (numeric)],\n 3574: [3574 - 208029_s_at (numeric)],\n 3575: [3575 - 208030_s_at (numeric)],\n 3576: [3576 - 208051_s_at (numeric)],\n 3577: [3577 - 208066_s_at (numeric)],\n 3578: [3578 - 208070_s_at (numeric)],\n 3579: [3579 - 208073_x_at (numeric)],\n 3580: [3580 - 208074_s_at (numeric)],\n 3581: [3581 - 208078_s_at (numeric)],\n 3582: [3582 - 208079_s_at (numeric)],\n 3583: [3583 - 208082_x_at (numeric)],\n 3584: [3584 - 208083_s_at (numeric)],\n 3585: [3585 - 208091_s_at (numeric)],\n 3586: [3586 - 208095_s_at (numeric)],\n 3587: [3587 - 208096_s_at (numeric)],\n 3588: [3588 - 208097_s_at (numeric)],\n 3589: [3589 - 208103_s_at (numeric)],\n 3590: [3590 - 208113_x_at (numeric)],\n 3591: [3591 - 208119_s_at (numeric)],\n 3592: [3592 - 208120_x_at (numeric)],\n 3593: [3593 - 208131_s_at (numeric)],\n 3594: [3594 - 208137_x_at (numeric)],\n 3595: [3595 - 208146_s_at (numeric)],\n 3596: [3596 - 208151_x_at (numeric)],\n 3597: [3597 - 208152_s_at (numeric)],\n 3598: [3598 - 208155_x_at (numeric)],\n 3599: [3599 - 208158_s_at (numeric)],\n 3600: [3600 - 208159_x_at (numeric)],\n 3601: [3601 - 208161_s_at (numeric)],\n 3602: [3602 - 208168_s_at (numeric)],\n 3603: [3603 - 208178_x_at (numeric)],\n 3604: [3604 - 208180_s_at (numeric)],\n 3605: [3605 - 208190_s_at (numeric)],\n 3606: [3606 - 208195_at (numeric)],\n 3607: [3607 - 208204_s_at (numeric)],\n 3608: [3608 - 208228_s_at (numeric)],\n 3609: [3609 - 208235_x_at (numeric)],\n 3610: [3610 - 208238_x_at (numeric)],\n 3611: [3611 - 208246_x_at (numeric)],\n 3612: [3612 - 208248_x_at (numeric)],\n 3613: [3613 - 208250_s_at (numeric)],\n 3614: [3614 - 208270_s_at (numeric)],\n 3615: [3615 - 208284_x_at (numeric)],\n 3616: [3616 - 208289_s_at (numeric)],\n 3617: [3617 - 208290_s_at (numeric)],\n 3618: [3618 - 208296_x_at (numeric)],\n 3619: [3619 - 208305_at (numeric)],\n 3620: [3620 - 208306_x_at (numeric)],\n 3621: [3621 - 208308_s_at (numeric)],\n 3622: [3622 - 208309_s_at (numeric)],\n 3623: [3623 - 208310_s_at (numeric)],\n 3624: [3624 - 208313_s_at (numeric)],\n 3625: [3625 - 208319_s_at (numeric)],\n 3626: [3626 - 208335_s_at (numeric)],\n 3627: [3627 - 208336_s_at (numeric)],\n 3628: [3628 - 208370_s_at (numeric)],\n 3629: [3629 - 208374_s_at (numeric)],\n 3630: [3630 - 208383_s_at (numeric)],\n 3631: [3631 - 208399_s_at (numeric)],\n 3632: [3632 - 208405_s_at (numeric)],\n 3633: [3633 - 208407_s_at (numeric)],\n 3634: [3634 - 208415_x_at (numeric)],\n 3635: [3635 - 208420_x_at (numeric)],\n 3636: [3636 - 208436_s_at (numeric)],\n 3637: [3637 - 208451_s_at (numeric)],\n 3638: [3638 - 208453_s_at (numeric)],\n 3639: [3639 - 208470_s_at (numeric)],\n 3640: [3640 - 208473_s_at (numeric)],\n 3641: [3641 - 208485_x_at (numeric)],\n 3642: [3642 - 208490_x_at (numeric)],\n 3643: [3643 - 208498_s_at (numeric)],\n 3644: [3644 - 208502_s_at (numeric)],\n 3645: [3645 - 208517_x_at (numeric)],\n 3646: [3646 - 208527_x_at (numeric)],\n 3647: [3647 - 208539_x_at (numeric)],\n 3648: [3648 - 208540_x_at (numeric)],\n 3649: [3649 - 208546_x_at (numeric)],\n 3650: [3650 - 208549_x_at (numeric)],\n 3651: [3651 - 208555_x_at (numeric)],\n 3652: [3652 - 208579_x_at (numeric)],\n 3653: [3653 - 208581_x_at (numeric)],\n 3654: [3654 - 208596_s_at (numeric)],\n 3655: [3655 - 208598_s_at (numeric)],\n 3656: [3656 - 208607_s_at (numeric)],\n 3657: [3657 - 208609_s_at (numeric)],\n 3658: [3658 - 208610_s_at (numeric)],\n 3659: [3659 - 208611_s_at (numeric)],\n 3660: [3660 - 208612_at (numeric)],\n 3661: [3661 - 208613_s_at (numeric)],\n 3662: [3662 - 208614_s_at (numeric)],\n 3663: [3663 - 208615_s_at (numeric)],\n 3664: [3664 - 208616_s_at (numeric)],\n 3665: [3665 - 208617_s_at (numeric)],\n 3666: [3666 - 208619_at (numeric)],\n 3667: [3667 - 208620_at (numeric)],\n 3668: [3668 - 208621_s_at (numeric)],\n 3669: [3669 - 208622_s_at (numeric)],\n 3670: [3670 - 208623_s_at (numeric)],\n 3671: [3671 - 208625_s_at (numeric)],\n 3672: [3672 - 208626_s_at (numeric)],\n 3673: [3673 - 208627_s_at (numeric)],\n 3674: [3674 - 208628_s_at (numeric)],\n 3675: [3675 - 208629_s_at (numeric)],\n 3676: [3676 - 208630_at (numeric)],\n 3677: [3677 - 208631_s_at (numeric)],\n 3678: [3678 - 208633_s_at (numeric)],\n 3679: [3679 - 208634_s_at (numeric)],\n 3680: [3680 - 208635_x_at (numeric)],\n 3681: [3681 - 208636_at (numeric)],\n 3682: [3682 - 208637_x_at (numeric)],\n 3683: [3683 - 208638_at (numeric)],\n 3684: [3684 - 208639_x_at (numeric)],\n 3685: [3685 - 208640_at (numeric)],\n 3686: [3686 - 208641_s_at (numeric)],\n 3687: [3687 - 208642_s_at (numeric)],\n 3688: [3688 - 208643_s_at (numeric)],\n 3689: [3689 - 208644_at (numeric)],\n 3690: [3690 - 208645_s_at (numeric)],\n 3691: [3691 - 208646_at (numeric)],\n 3692: [3692 - 208647_at (numeric)],\n 3693: [3693 - 208649_s_at (numeric)],\n 3694: [3694 - 208650_s_at (numeric)],\n 3695: [3695 - 208651_x_at (numeric)],\n 3696: [3696 - 208652_at (numeric)],\n 3697: [3697 - 208653_s_at (numeric)],\n 3698: [3698 - 208654_s_at (numeric)],\n 3699: [3699 - 208655_at (numeric)],\n 3700: [3700 - 208656_s_at (numeric)],\n 3701: [3701 - 208658_at (numeric)],\n 3702: [3702 - 208659_at (numeric)],\n 3703: [3703 - 208660_at (numeric)],\n 3704: [3704 - 208661_s_at (numeric)],\n 3705: [3705 - 208662_s_at (numeric)],\n 3706: [3706 - 208663_s_at (numeric)],\n 3707: [3707 - 208666_s_at (numeric)],\n 3708: [3708 - 208667_s_at (numeric)],\n 3709: [3709 - 208668_x_at (numeric)],\n 3710: [3710 - 208669_s_at (numeric)],\n 3711: [3711 - 208670_s_at (numeric)],\n 3712: [3712 - 208671_at (numeric)],\n 3713: [3713 - 208672_s_at (numeric)],\n 3714: [3714 - 208673_s_at (numeric)],\n 3715: [3715 - 208674_x_at (numeric)],\n 3716: [3716 - 208675_s_at (numeric)],\n 3717: [3717 - 208676_s_at (numeric)],\n 3718: [3718 - 208677_s_at (numeric)],\n 3719: [3719 - 208678_at (numeric)],\n 3720: [3720 - 208679_s_at (numeric)],\n 3721: [3721 - 208680_at (numeric)],\n 3722: [3722 - 208682_s_at (numeric)],\n 3723: [3723 - 208683_at (numeric)],\n 3724: [3724 - 208684_at (numeric)],\n 3725: [3725 - 208685_x_at (numeric)],\n 3726: [3726 - 208686_s_at (numeric)],\n 3727: [3727 - 208687_x_at (numeric)],\n 3728: [3728 - 208688_x_at (numeric)],\n 3729: [3729 - 208689_s_at (numeric)],\n 3730: [3730 - 208690_s_at (numeric)],\n 3731: [3731 - 208691_at (numeric)],\n 3732: [3732 - 208692_at (numeric)],\n 3733: [3733 - 208693_s_at (numeric)],\n 3734: [3734 - 208694_at (numeric)],\n 3735: [3735 - 208695_s_at (numeric)],\n 3736: [3736 - 208696_at (numeric)],\n 3737: [3737 - 208697_s_at (numeric)],\n 3738: [3738 - 208698_s_at (numeric)],\n 3739: [3739 - 208699_x_at (numeric)],\n 3740: [3740 - 208700_s_at (numeric)],\n 3741: [3741 - 208702_x_at (numeric)],\n 3742: [3742 - 208703_s_at (numeric)],\n 3743: [3743 - 208704_x_at (numeric)],\n 3744: [3744 - 208705_s_at (numeric)],\n 3745: [3745 - 208706_s_at (numeric)],\n 3746: [3746 - 208708_x_at (numeric)],\n 3747: [3747 - 208709_s_at (numeric)],\n 3748: [3748 - 208711_s_at (numeric)],\n 3749: [3749 - 208712_at (numeric)],\n 3750: [3750 - 208713_at (numeric)],\n 3751: [3751 - 208714_at (numeric)],\n 3752: [3752 - 208715_at (numeric)],\n 3753: [3753 - 208716_s_at (numeric)],\n 3754: [3754 - 208717_at (numeric)],\n 3755: [3755 - 208718_at (numeric)],\n 3756: [3756 - 208719_s_at (numeric)],\n 3757: [3757 - 208720_s_at (numeric)],\n 3758: [3758 - 208722_s_at (numeric)],\n 3759: [3759 - 208723_at (numeric)],\n 3760: [3760 - 208724_s_at (numeric)],\n 3761: [3761 - 208726_s_at (numeric)],\n 3762: [3762 - 208727_s_at (numeric)],\n 3763: [3763 - 208728_s_at (numeric)],\n 3764: [3764 - 208729_x_at (numeric)],\n 3765: [3765 - 208730_x_at (numeric)],\n 3766: [3766 - 208731_at (numeric)],\n 3767: [3767 - 208732_at (numeric)],\n 3768: [3768 - 208734_x_at (numeric)],\n 3769: [3769 - 208736_at (numeric)],\n 3770: [3770 - 208737_at (numeric)],\n 3771: [3771 - 208738_x_at (numeric)],\n 3772: [3772 - 208739_x_at (numeric)],\n 3773: [3773 - 208742_s_at (numeric)],\n 3774: [3774 - 208743_s_at (numeric)],\n 3775: [3775 - 208744_x_at (numeric)],\n 3776: [3776 - 208745_at (numeric)],\n 3777: [3777 - 208746_x_at (numeric)],\n 3778: [3778 - 208747_s_at (numeric)],\n 3779: [3779 - 208749_x_at (numeric)],\n 3780: [3780 - 208750_s_at (numeric)],\n 3781: [3781 - 208751_at (numeric)],\n 3782: [3782 - 208752_x_at (numeric)],\n 3783: [3783 - 208753_s_at (numeric)],\n 3784: [3784 - 208754_s_at (numeric)],\n 3785: [3785 - 208755_x_at (numeric)],\n 3786: [3786 - 208756_at (numeric)],\n 3787: [3787 - 208757_at (numeric)],\n 3788: [3788 - 208758_at (numeric)],\n 3789: [3789 - 208759_at (numeric)],\n 3790: [3790 - 208761_s_at (numeric)],\n 3791: [3791 - 208763_s_at (numeric)],\n 3792: [3792 - 208764_s_at (numeric)],\n 3793: [3793 - 208765_s_at (numeric)],\n 3794: [3794 - 208766_s_at (numeric)],\n 3795: [3795 - 208767_s_at (numeric)],\n 3796: [3796 - 208768_x_at (numeric)],\n 3797: [3797 - 208771_s_at (numeric)],\n 3798: [3798 - 208773_s_at (numeric)],\n 3799: [3799 - 208774_at (numeric)],\n 3800: [3800 - 208775_at (numeric)],\n 3801: [3801 - 208777_s_at (numeric)],\n 3802: [3802 - 208778_s_at (numeric)],\n 3803: [3803 - 208779_x_at (numeric)],\n 3804: [3804 - 208780_x_at (numeric)],\n 3805: [3805 - 208781_x_at (numeric)],\n 3806: [3806 - 208782_at (numeric)],\n 3807: [3807 - 208783_s_at (numeric)],\n 3808: [3808 - 208785_s_at (numeric)],\n 3809: [3809 - 208786_s_at (numeric)],\n 3810: [3810 - 208787_at (numeric)],\n 3811: [3811 - 208788_at (numeric)],\n 3812: [3812 - 208789_at (numeric)],\n 3813: [3813 - 208790_s_at (numeric)],\n 3814: [3814 - 208791_at (numeric)],\n 3815: [3815 - 208792_s_at (numeric)],\n 3816: [3816 - 208794_s_at (numeric)],\n 3817: [3817 - 208795_s_at (numeric)],\n 3818: [3818 - 208796_s_at (numeric)],\n 3819: [3819 - 208798_x_at (numeric)],\n 3820: [3820 - 208799_at (numeric)],\n 3821: [3821 - 208800_at (numeric)],\n 3822: [3822 - 208801_at (numeric)],\n 3823: [3823 - 208804_s_at (numeric)],\n 3824: [3824 - 208805_at (numeric)],\n 3825: [3825 - 208807_s_at (numeric)],\n 3826: [3826 - 208808_s_at (numeric)],\n 3827: [3827 - 208809_s_at (numeric)],\n 3828: [3828 - 208810_at (numeric)],\n 3829: [3829 - 208811_s_at (numeric)],\n 3830: [3830 - 208812_x_at (numeric)],\n 3831: [3831 - 208813_at (numeric)],\n 3832: [3832 - 208815_x_at (numeric)],\n 3833: [3833 - 208816_x_at (numeric)],\n 3834: [3834 - 208817_at (numeric)],\n 3835: [3835 - 208818_s_at (numeric)],\n 3836: [3836 - 208819_at (numeric)],\n 3837: [3837 - 208820_at (numeric)],\n 3838: [3838 - 208821_at (numeric)],\n 3839: [3839 - 208822_s_at (numeric)],\n 3840: [3840 - 208824_x_at (numeric)],\n 3841: [3841 - 208825_x_at (numeric)],\n 3842: [3842 - 208826_x_at (numeric)],\n 3843: [3843 - 208827_at (numeric)],\n 3844: [3844 - 208828_at (numeric)],\n 3845: [3845 - 208829_at (numeric)],\n 3846: [3846 - 208831_x_at (numeric)],\n 3847: [3847 - 208833_s_at (numeric)],\n 3848: [3848 - 208834_x_at (numeric)],\n 3849: [3849 - 208835_s_at (numeric)],\n 3850: [3850 - 208836_at (numeric)],\n 3851: [3851 - 208837_at (numeric)],\n 3852: [3852 - 208838_at (numeric)],\n 3853: [3853 - 208839_s_at (numeric)],\n 3854: [3854 - 208840_s_at (numeric)],\n 3855: [3855 - 208841_s_at (numeric)],\n 3856: [3856 - 208842_s_at (numeric)],\n 3857: [3857 - 208843_s_at (numeric)],\n 3858: [3858 - 208845_at (numeric)],\n 3859: [3859 - 208846_s_at (numeric)],\n 3860: [3860 - 208847_s_at (numeric)],\n 3861: [3861 - 208848_at (numeric)],\n 3862: [3862 - 208850_s_at (numeric)],\n 3863: [3863 - 208851_s_at (numeric)],\n 3864: [3864 - 208852_s_at (numeric)],\n 3865: [3865 - 208853_s_at (numeric)],\n 3866: [3866 - 208854_s_at (numeric)],\n 3867: [3867 - 208855_s_at (numeric)],\n 3868: [3868 - 208856_x_at (numeric)],\n 3869: [3869 - 208857_s_at (numeric)],\n 3870: [3870 - 208858_s_at (numeric)],\n 3871: [3871 - 208861_s_at (numeric)],\n 3872: [3872 - 208862_s_at (numeric)],\n 3873: [3873 - 208863_s_at (numeric)],\n 3874: [3874 - 208864_s_at (numeric)],\n 3875: [3875 - 208865_at (numeric)],\n 3876: [3876 - 208866_at (numeric)],\n 3877: [3877 - 208867_s_at (numeric)],\n 3878: [3878 - 208870_x_at (numeric)],\n 3879: [3879 - 208872_s_at (numeric)],\n 3880: [3880 - 208873_s_at (numeric)],\n 3881: [3881 - 208881_x_at (numeric)],\n 3882: [3882 - 208882_s_at (numeric)],\n 3883: [3883 - 208884_s_at (numeric)],\n 3884: [3884 - 208885_at (numeric)],\n 3885: [3885 - 208886_at (numeric)],\n 3886: [3886 - 208887_at (numeric)],\n 3887: [3887 - 208890_s_at (numeric)],\n 3888: [3888 - 208891_at (numeric)],\n 3889: [3889 - 208892_s_at (numeric)],\n 3890: [3890 - 208893_s_at (numeric)],\n 3891: [3891 - 208894_at (numeric)],\n 3892: [3892 - 208895_s_at (numeric)],\n 3893: [3893 - 208897_s_at (numeric)],\n 3894: [3894 - 208898_at (numeric)],\n 3895: [3895 - 208899_x_at (numeric)],\n 3896: [3896 - 208901_s_at (numeric)],\n 3897: [3897 - 208904_s_at (numeric)],\n 3898: [3898 - 208905_at (numeric)],\n 3899: [3899 - 208906_at (numeric)],\n 3900: [3900 - 208908_s_at (numeric)],\n 3901: [3901 - 208909_at (numeric)],\n 3902: [3902 - 208910_s_at (numeric)],\n 3903: [3903 - 208911_s_at (numeric)],\n 3904: [3904 - 208912_s_at (numeric)],\n 3905: [3905 - 208916_at (numeric)],\n 3906: [3906 - 208918_s_at (numeric)],\n 3907: [3907 - 208919_s_at (numeric)],\n 3908: [3908 - 208921_s_at (numeric)],\n 3909: [3909 - 208922_s_at (numeric)],\n 3910: [3910 - 208923_at (numeric)],\n 3911: [3911 - 208924_at (numeric)],\n 3912: [3912 - 208925_at (numeric)],\n 3913: [3913 - 208926_at (numeric)],\n 3914: [3914 - 208927_at (numeric)],\n 3915: [3915 - 208929_x_at (numeric)],\n 3916: [3916 - 208931_s_at (numeric)],\n 3917: [3917 - 208932_at (numeric)],\n 3918: [3918 - 208933_s_at (numeric)],\n 3919: [3919 - 208934_s_at (numeric)],\n 3920: [3920 - 208936_x_at (numeric)],\n 3921: [3921 - 208937_s_at (numeric)],\n 3922: [3922 - 208939_at (numeric)],\n 3923: [3923 - 208941_s_at (numeric)],\n 3924: [3924 - 208942_s_at (numeric)],\n 3925: [3925 - 208943_s_at (numeric)],\n 3926: [3926 - 208944_at (numeric)],\n 3927: [3927 - 208946_s_at (numeric)],\n 3928: [3928 - 208948_s_at (numeric)],\n 3929: [3929 - 208949_s_at (numeric)],\n 3930: [3930 - 208950_s_at (numeric)],\n 3931: [3931 - 208951_at (numeric)],\n 3932: [3932 - 208953_at (numeric)],\n 3933: [3933 - 208956_x_at (numeric)],\n 3934: [3934 - 208959_s_at (numeric)],\n 3935: [3935 - 208961_s_at (numeric)],\n 3936: [3936 - 208963_x_at (numeric)],\n 3937: [3937 - 208964_s_at (numeric)],\n 3938: [3938 - 208965_s_at (numeric)],\n 3939: [3939 - 208966_x_at (numeric)],\n 3940: [3940 - 208967_s_at (numeric)],\n 3941: [3941 - 208968_s_at (numeric)],\n 3942: [3942 - 208969_at (numeric)],\n 3943: [3943 - 208970_s_at (numeric)],\n 3944: [3944 - 208972_s_at (numeric)],\n 3945: [3945 - 208974_x_at (numeric)],\n 3946: [3946 - 208975_s_at (numeric)],\n 3947: [3947 - 208977_x_at (numeric)],\n 3948: [3948 - 208978_at (numeric)],\n 3949: [3949 - 208980_s_at (numeric)],\n 3950: [3950 - 208981_at (numeric)],\n 3951: [3951 - 208982_at (numeric)],\n 3952: [3952 - 208985_s_at (numeric)],\n 3953: [3953 - 208986_at (numeric)],\n 3954: [3954 - 208988_at (numeric)],\n 3955: [3955 - 208990_s_at (numeric)],\n 3956: [3956 - 208991_at (numeric)],\n 3957: [3957 - 208992_s_at (numeric)],\n 3958: [3958 - 208993_s_at (numeric)],\n 3959: [3959 - 208996_s_at (numeric)],\n 3960: [3960 - 208997_s_at (numeric)],\n 3961: [3961 - 208998_at (numeric)],\n 3962: [3962 - 208999_at (numeric)],\n 3963: [3963 - 209001_s_at (numeric)],\n 3964: [3964 - 209004_s_at (numeric)],\n 3965: [3965 - 209006_s_at (numeric)],\n 3966: [3966 - 209007_s_at (numeric)],\n 3967: [3967 - 209008_x_at (numeric)],\n 3968: [3968 - 209009_at (numeric)],\n 3969: [3969 - 209011_at (numeric)],\n 3970: [3970 - 209013_x_at (numeric)],\n 3971: [3971 - 209014_at (numeric)],\n 3972: [3972 - 209016_s_at (numeric)],\n 3973: [3973 - 209017_s_at (numeric)],\n 3974: [3974 - 209022_at (numeric)],\n 3975: [3975 - 209023_s_at (numeric)],\n 3976: [3976 - 209024_s_at (numeric)],\n 3977: [3977 - 209025_s_at (numeric)],\n 3978: [3978 - 209026_x_at (numeric)],\n 3979: [3979 - 209027_s_at (numeric)],\n 3980: [3980 - 209028_s_at (numeric)],\n 3981: [3981 - 209030_s_at (numeric)],\n 3982: [3982 - 209031_at (numeric)],\n 3983: [3983 - 209032_s_at (numeric)],\n 3984: [3984 - 209033_s_at (numeric)],\n 3985: [3985 - 209034_at (numeric)],\n 3986: [3986 - 209035_at (numeric)],\n 3987: [3987 - 209036_s_at (numeric)],\n 3988: [3988 - 209040_s_at (numeric)],\n 3989: [3989 - 209043_at (numeric)],\n 3990: [3990 - 209044_x_at (numeric)],\n 3991: [3991 - 209045_at (numeric)],\n 3992: [3992 - 209046_s_at (numeric)],\n 3993: [3993 - 209047_at (numeric)],\n 3994: [3994 - 209048_s_at (numeric)],\n 3995: [3995 - 209049_s_at (numeric)],\n 3996: [3996 - 209050_s_at (numeric)],\n 3997: [3997 - 209054_s_at (numeric)],\n 3998: [3998 - 209056_s_at (numeric)],\n 3999: [3999 - 209057_x_at (numeric)],\n 4000: [4000 - 209058_at (numeric)],\n 4001: [4001 - 209059_s_at (numeric)],\n 4002: [4002 - 209063_x_at (numeric)],\n 4003: [4003 - 209064_x_at (numeric)],\n 4004: [4004 - 209066_x_at (numeric)],\n 4005: [4005 - 209067_s_at (numeric)],\n 4006: [4006 - 209068_at (numeric)],\n 4007: [4007 - 209069_s_at (numeric)],\n 4008: [4008 - 209070_s_at (numeric)],\n 4009: [4009 - 209071_s_at (numeric)],\n 4010: [4010 - 209074_s_at (numeric)],\n 4011: [4011 - 209075_s_at (numeric)],\n 4012: [4012 - 209076_s_at (numeric)],\n 4013: [4013 - 209079_x_at (numeric)],\n 4014: [4014 - 209080_x_at (numeric)],\n 4015: [4015 - 209081_s_at (numeric)],\n 4016: [4016 - 209082_s_at (numeric)],\n 4017: [4017 - 209083_at (numeric)],\n 4018: [4018 - 209087_x_at (numeric)],\n 4019: [4019 - 209089_at (numeric)],\n 4020: [4020 - 209090_s_at (numeric)],\n 4021: [4021 - 209091_s_at (numeric)],\n 4022: [4022 - 209092_s_at (numeric)],\n 4023: [4023 - 209094_at (numeric)],\n 4024: [4024 - 209095_at (numeric)],\n 4025: [4025 - 209096_at (numeric)],\n 4026: [4026 - 209098_s_at (numeric)],\n 4027: [4027 - 209099_x_at (numeric)],\n 4028: [4028 - 209100_at (numeric)],\n 4029: [4029 - 209101_at (numeric)],\n 4030: [4030 - 209102_s_at (numeric)],\n 4031: [4031 - 209103_s_at (numeric)],\n 4032: [4032 - 209104_s_at (numeric)],\n 4033: [4033 - 209106_at (numeric)],\n 4034: [4034 - 209107_x_at (numeric)],\n 4035: [4035 - 209108_at (numeric)],\n 4036: [4036 - 209109_s_at (numeric)],\n 4037: [4037 - 209110_s_at (numeric)],\n 4038: [4038 - 209111_at (numeric)],\n 4039: [4039 - 209112_at (numeric)],\n 4040: [4040 - 209114_at (numeric)],\n 4041: [4041 - 209115_at (numeric)],\n 4042: [4042 - 209116_x_at (numeric)],\n 4043: [4043 - 209118_s_at (numeric)],\n 4044: [4044 - 209120_at (numeric)],\n 4045: [4045 - 209121_x_at (numeric)],\n 4046: [4046 - 209122_at (numeric)],\n 4047: [4047 - 209123_at (numeric)],\n 4048: [4048 - 209124_at (numeric)],\n 4049: [4049 - 209125_at (numeric)],\n 4050: [4050 - 209126_x_at (numeric)],\n 4051: [4051 - 209129_at (numeric)],\n 4052: [4052 - 209130_at (numeric)],\n 4053: [4053 - 209134_s_at (numeric)],\n 4054: [4054 - 209135_at (numeric)],\n 4055: [4055 - 209138_x_at (numeric)],\n 4056: [4056 - 209139_s_at (numeric)],\n 4057: [4057 - 209140_x_at (numeric)],\n 4058: [4058 - 209141_at (numeric)],\n 4059: [4059 - 209142_s_at (numeric)],\n 4060: [4060 - 209143_s_at (numeric)],\n 4061: [4061 - 209146_at (numeric)],\n 4062: [4062 - 209147_s_at (numeric)],\n 4063: [4063 - 209150_s_at (numeric)],\n 4064: [4064 - 209153_s_at (numeric)],\n 4065: [4065 - 209154_at (numeric)],\n 4066: [4066 - 209155_s_at (numeric)],\n 4067: [4067 - 209156_s_at (numeric)],\n 4068: [4068 - 209157_at (numeric)],\n 4069: [4069 - 209160_at (numeric)],\n 4070: [4070 - 209163_at (numeric)],\n 4071: [4071 - 209164_s_at (numeric)],\n 4072: [4072 - 209166_s_at (numeric)],\n 4073: [4073 - 209167_at (numeric)],\n 4074: [4074 - 209169_at (numeric)],\n 4075: [4075 - 209170_s_at (numeric)],\n 4076: [4076 - 209171_at (numeric)],\n 4077: [4077 - 209173_at (numeric)],\n 4078: [4078 - 209177_at (numeric)],\n 4079: [4079 - 209180_at (numeric)],\n 4080: [4080 - 209181_s_at (numeric)],\n 4081: [4081 - 209183_s_at (numeric)],\n 4082: [4082 - 209184_s_at (numeric)],\n 4083: [4083 - 209185_s_at (numeric)],\n 4084: [4084 - 209186_at (numeric)],\n 4085: [4085 - 209187_at (numeric)],\n 4086: [4086 - 209189_at (numeric)],\n 4087: [4087 - 209190_s_at (numeric)],\n 4088: [4088 - 209191_at (numeric)],\n 4089: [4089 - 209194_at (numeric)],\n 4090: [4090 - 209199_s_at (numeric)],\n 4091: [4091 - 209200_at (numeric)],\n 4092: [4092 - 209201_x_at (numeric)],\n 4093: [4093 - 209205_s_at (numeric)],\n 4094: [4094 - 209209_s_at (numeric)],\n 4095: [4095 - 209210_s_at (numeric)],\n 4096: [4096 - 209211_at (numeric)],\n 4097: [4097 - 209212_s_at (numeric)],\n 4098: [4098 - 209213_at (numeric)],\n 4099: [4099 - 209214_s_at (numeric)],\n 4100: [4100 - 209216_at (numeric)],\n 4101: [4101 - 209218_at (numeric)],\n 4102: [4102 - 209219_at (numeric)],\n 4103: [4103 - 209220_at (numeric)],\n 4104: [4104 - 209224_s_at (numeric)],\n 4105: [4105 - 209225_x_at (numeric)],\n 4106: [4106 - 209226_s_at (numeric)],\n 4107: [4107 - 209228_x_at (numeric)],\n 4108: [4108 - 209230_s_at (numeric)],\n 4109: [4109 - 209233_at (numeric)],\n 4110: [4110 - 209238_at (numeric)],\n 4111: [4111 - 209239_at (numeric)],\n 4112: [4112 - 209240_at (numeric)],\n 4113: [4113 - 209242_at (numeric)],\n 4114: [4114 - 209243_s_at (numeric)],\n 4115: [4115 - 209248_at (numeric)],\n 4116: [4116 - 209249_s_at (numeric)],\n 4117: [4117 - 209250_at (numeric)],\n 4118: [4118 - 209251_x_at (numeric)],\n 4119: [4119 - 209257_s_at (numeric)],\n 4120: [4120 - 209259_s_at (numeric)],\n 4121: [4121 - 209260_at (numeric)],\n 4122: [4122 - 209262_s_at (numeric)],\n 4123: [4123 - 209263_x_at (numeric)],\n 4124: [4124 - 209265_s_at (numeric)],\n 4125: [4125 - 209267_s_at (numeric)],\n 4126: [4126 - 209268_at (numeric)],\n 4127: [4127 - 209270_at (numeric)],\n 4128: [4128 - 209272_at (numeric)],\n 4129: [4129 - 209273_s_at (numeric)],\n 4130: [4130 - 209274_s_at (numeric)],\n 4131: [4131 - 209276_s_at (numeric)],\n 4132: [4132 - 209277_at (numeric)],\n 4133: [4133 - 209278_s_at (numeric)],\n 4134: [4134 - 209281_s_at (numeric)],\n 4135: [4135 - 209283_at (numeric)],\n 4136: [4136 - 209284_s_at (numeric)],\n 4137: [4137 - 209286_at (numeric)],\n 4138: [4138 - 209288_s_at (numeric)],\n 4139: [4139 - 209289_at (numeric)],\n 4140: [4140 - 209290_s_at (numeric)],\n 4141: [4141 - 209291_at (numeric)],\n 4142: [4142 - 209292_at (numeric)],\n 4143: [4143 - 209295_at (numeric)],\n 4144: [4144 - 209296_at (numeric)],\n 4145: [4145 - 209301_at (numeric)],\n 4146: [4146 - 209302_at (numeric)],\n 4147: [4147 - 209303_at (numeric)],\n 4148: [4148 - 209304_x_at (numeric)],\n 4149: [4149 - 209305_s_at (numeric)],\n 4150: [4150 - 209306_s_at (numeric)],\n 4151: [4151 - 209307_at (numeric)],\n 4152: [4152 - 209309_at (numeric)],\n 4153: [4153 - 209311_at (numeric)],\n 4154: [4154 - 209312_x_at (numeric)],\n 4155: [4155 - 209316_s_at (numeric)],\n 4156: [4156 - 209318_x_at (numeric)],\n 4157: [4157 - 209323_at (numeric)],\n 4158: [4158 - 209329_x_at (numeric)],\n 4159: [4159 - 209330_s_at (numeric)],\n 4160: [4160 - 209332_s_at (numeric)],\n 4161: [4161 - 209335_at (numeric)],\n 4162: [4162 - 209337_at (numeric)],\n 4163: [4163 - 209339_at (numeric)],\n 4164: [4164 - 209340_at (numeric)],\n 4165: [4165 - 209341_s_at (numeric)],\n 4166: [4166 - 209343_at (numeric)],\n 4167: [4167 - 209344_at (numeric)],\n 4168: [4168 - 209348_s_at (numeric)],\n 4169: [4169 - 209351_at (numeric)],\n 4170: [4170 - 209355_s_at (numeric)],\n 4171: [4171 - 209356_x_at (numeric)],\n 4172: [4172 - 209357_at (numeric)],\n 4173: [4173 - 209358_at (numeric)],\n 4174: [4174 - 209360_s_at (numeric)],\n 4175: [4175 - 209362_at (numeric)],\n 4176: [4176 - 209363_s_at (numeric)],\n 4177: [4177 - 209365_s_at (numeric)],\n 4178: [4178 - 209366_x_at (numeric)],\n 4179: [4179 - 209368_at (numeric)],\n 4180: [4180 - 209369_at (numeric)],\n 4181: [4181 - 209373_at (numeric)],\n 4182: [4182 - 209374_s_at (numeric)],\n 4183: [4183 - 209376_x_at (numeric)],\n 4184: [4184 - 209377_s_at (numeric)],\n 4185: [4185 - 209380_s_at (numeric)],\n 4186: [4186 - 209383_at (numeric)],\n 4187: [4187 - 209384_at (numeric)],\n 4188: [4188 - 209385_s_at (numeric)],\n 4189: [4189 - 209386_at (numeric)],\n 4190: [4190 - 209387_s_at (numeric)],\n 4191: [4191 - 209388_at (numeric)],\n 4192: [4192 - 209389_x_at (numeric)],\n 4193: [4193 - 209392_at (numeric)],\n 4194: [4194 - 209393_s_at (numeric)],\n 4195: [4195 - 209395_at (numeric)],\n 4196: [4196 - 209396_s_at (numeric)],\n 4197: [4197 - 209397_at (numeric)],\n 4198: [4198 - 209398_at (numeric)],\n 4199: [4199 - 209403_at (numeric)],\n 4200: [4200 - 209404_s_at (numeric)],\n 4201: [4201 - 209406_at (numeric)],\n 4202: [4202 - 209408_at (numeric)],\n 4203: [4203 - 209409_at (numeric)],\n 4204: [4204 - 209421_at (numeric)],\n 4205: [4205 - 209422_at (numeric)],\n 4206: [4206 - 209424_s_at (numeric)],\n 4207: [4207 - 209425_at (numeric)],\n 4208: [4208 - 209426_s_at (numeric)],\n 4209: [4209 - 209427_at (numeric)],\n 4210: [4210 - 209432_s_at (numeric)],\n 4211: [4211 - 209435_s_at (numeric)],\n 4212: [4212 - 209436_at (numeric)],\n 4213: [4213 - 209437_s_at (numeric)],\n 4214: [4214 - 209440_at (numeric)],\n 4215: [4215 - 209443_at (numeric)],\n 4216: [4216 - 209444_at (numeric)],\n 4217: [4217 - 209447_at (numeric)],\n 4218: [4218 - 209448_at (numeric)],\n 4219: [4219 - 209451_at (numeric)],\n 4220: [4220 - 209452_s_at (numeric)],\n 4221: [4221 - 209457_at (numeric)],\n 4222: [4222 - 209458_x_at (numeric)],\n 4223: [4223 - 209459_s_at (numeric)],\n 4224: [4224 - 209460_at (numeric)],\n 4225: [4225 - 209465_x_at (numeric)],\n 4226: [4226 - 209466_x_at (numeric)],\n 4227: [4227 - 209469_at (numeric)],\n 4228: [4228 - 209470_s_at (numeric)],\n 4229: [4229 - 209471_s_at (numeric)],\n 4230: [4230 - 209472_at (numeric)],\n 4231: [4231 - 209473_at (numeric)],\n 4232: [4232 - 209476_at (numeric)],\n 4233: [4233 - 209478_at (numeric)],\n 4234: [4234 - 209479_at (numeric)],\n 4235: [4235 - 209480_at (numeric)],\n 4236: [4236 - 209481_at (numeric)],\n 4237: [4237 - 209482_at (numeric)],\n 4238: [4238 - 209484_s_at (numeric)],\n 4239: [4239 - 209487_at (numeric)],\n 4240: [4240 - 209488_s_at (numeric)],\n 4241: [4241 - 209489_at (numeric)],\n 4242: [4242 - 209492_x_at (numeric)],\n 4243: [4243 - 209493_at (numeric)],\n 4244: [4244 - 209496_at (numeric)],\n 4245: [4245 - 209498_at (numeric)],\n 4246: [4246 - 209500_x_at (numeric)],\n 4247: [4247 - 209503_s_at (numeric)],\n 4248: [4248 - 209504_s_at (numeric)],\n 4249: [4249 - 209505_at (numeric)],\n 4250: [4250 - 209507_at (numeric)],\n 4251: [4251 - 209510_at (numeric)],\n 4252: [4252 - 209511_at (numeric)],\n 4253: [4253 - 209514_s_at (numeric)],\n 4254: [4254 - 209515_s_at (numeric)],\n 4255: [4255 - 209517_s_at (numeric)],\n 4256: [4256 - 209522_s_at (numeric)],\n 4257: [4257 - 209523_at (numeric)],\n 4258: [4258 - 209524_at (numeric)],\n 4259: [4259 - 209529_at (numeric)],\n 4260: [4260 - 209536_s_at (numeric)],\n 4261: [4261 - 209537_at (numeric)],\n 4262: [4262 - 209540_at (numeric)],\n 4263: [4263 - 209541_at (numeric)],\n 4264: [4264 - 209542_x_at (numeric)],\n 4265: [4265 - 209545_s_at (numeric)],\n 4266: [4266 - 209546_s_at (numeric)],\n 4267: [4267 - 209549_s_at (numeric)],\n 4268: [4268 - 209550_at (numeric)],\n 4269: [4269 - 209552_at (numeric)],\n 4270: [4270 - 209560_s_at (numeric)],\n 4271: [4271 - 209563_x_at (numeric)],\n 4272: [4272 - 209566_at (numeric)],\n 4273: [4273 - 209568_s_at (numeric)],\n 4274: [4274 - 209569_x_at (numeric)],\n 4275: [4275 - 209572_s_at (numeric)],\n 4276: [4276 - 209576_at (numeric)],\n 4277: [4277 - 209579_s_at (numeric)],\n 4278: [4278 - 209580_s_at (numeric)],\n 4279: [4279 - 209581_at (numeric)],\n 4280: [4280 - 209583_s_at (numeric)],\n 4281: [4281 - 209586_s_at (numeric)],\n 4282: [4282 - 209593_s_at (numeric)],\n 4283: [4283 - 209596_at (numeric)],\n 4284: [4284 - 209598_at (numeric)],\n 4285: [4285 - 209600_s_at (numeric)],\n 4286: [4286 - 209602_s_at (numeric)],\n 4287: [4287 - 209604_s_at (numeric)],\n 4288: [4288 - 209605_at (numeric)],\n 4289: [4289 - 209607_x_at (numeric)],\n 4290: [4290 - 209608_s_at (numeric)],\n 4291: [4291 - 209609_s_at (numeric)],\n 4292: [4292 - 209610_s_at (numeric)],\n 4293: [4293 - 209612_s_at (numeric)],\n 4294: [4294 - 209613_s_at (numeric)],\n 4295: [4295 - 209616_s_at (numeric)],\n 4296: [4296 - 209619_at (numeric)],\n 4297: [4297 - 209621_s_at (numeric)],\n 4298: [4298 - 209623_at (numeric)],\n 4299: [4299 - 209624_s_at (numeric)],\n 4300: [4300 - 209626_s_at (numeric)],\n 4301: [4301 - 209627_s_at (numeric)],\n 4302: [4302 - 209628_at (numeric)],\n 4303: [4303 - 209641_s_at (numeric)],\n 4304: [4304 - 209642_at (numeric)],\n 4305: [4305 - 209644_x_at (numeric)],\n 4306: [4306 - 209649_at (numeric)],\n 4307: [4307 - 209651_at (numeric)],\n 4308: [4308 - 209654_at (numeric)],\n 4309: [4309 - 209655_s_at (numeric)],\n 4310: [4310 - 209656_s_at (numeric)],\n 4311: [4311 - 209658_at (numeric)],\n 4312: [4312 - 209659_s_at (numeric)],\n 4313: [4313 - 209662_at (numeric)],\n 4314: [4314 - 209663_s_at (numeric)],\n 4315: [4315 - 209669_s_at (numeric)],\n 4316: [4316 - 209670_at (numeric)],\n 4317: [4317 - 209671_x_at (numeric)],\n 4318: [4318 - 209674_at (numeric)],\n 4319: [4319 - 209678_s_at (numeric)],\n 4320: [4320 - 209681_at (numeric)],\n 4321: [4321 - 209682_at (numeric)],\n 4322: [4322 - 209684_at (numeric)],\n 4323: [4323 - 209687_at (numeric)],\n 4324: [4324 - 209692_at (numeric)],\n 4325: [4325 - 209693_at (numeric)],\n 4326: [4326 - 209694_at (numeric)],\n 4327: [4327 - 209695_at (numeric)],\n 4328: [4328 - 209696_at (numeric)],\n 4329: [4329 - 209699_x_at (numeric)],\n 4330: [4330 - 209703_x_at (numeric)],\n 4331: [4331 - 209706_at (numeric)],\n 4332: [4332 - 209707_at (numeric)],\n 4333: [4333 - 209708_at (numeric)],\n 4334: [4334 - 209710_at (numeric)],\n 4335: [4335 - 209711_at (numeric)],\n 4336: [4336 - 209714_s_at (numeric)],\n 4337: [4337 - 209719_x_at (numeric)],\n 4338: [4338 - 209720_s_at (numeric)],\n 4339: [4339 - 209723_at (numeric)],\n 4340: [4340 - 209728_at (numeric)],\n 4341: [4341 - 209732_at (numeric)],\n 4342: [4342 - 209737_at (numeric)],\n 4343: [4343 - 209742_s_at (numeric)],\n 4344: [4344 - 209747_at (numeric)],\n 4345: [4345 - 209750_at (numeric)],\n 4346: [4346 - 209751_s_at (numeric)],\n 4347: [4347 - 209752_at (numeric)],\n 4348: [4348 - 209757_s_at (numeric)],\n 4349: [4349 - 209758_s_at (numeric)],\n 4350: [4350 - 209759_s_at (numeric)],\n 4351: [4351 - 209763_at (numeric)],\n 4352: [4352 - 209770_at (numeric)],\n 4353: [4353 - 209771_x_at (numeric)],\n 4354: [4354 - 209772_s_at (numeric)],\n 4355: [4355 - 209773_s_at (numeric)],\n 4356: [4356 - 209774_x_at (numeric)],\n 4357: [4357 - 209780_at (numeric)],\n 4358: [4358 - 209781_s_at (numeric)],\n 4359: [4359 - 209786_at (numeric)],\n 4360: [4360 - 209787_s_at (numeric)],\n 4361: [4361 - 209788_s_at (numeric)],\n 4362: [4362 - 209790_s_at (numeric)],\n 4363: [4363 - 209792_s_at (numeric)],\n 4364: [4364 - 209795_at (numeric)],\n 4365: [4365 - 209796_s_at (numeric)],\n 4366: [4366 - 209797_at (numeric)],\n 4367: [4367 - 209800_at (numeric)],\n 4368: [4368 - 209803_s_at (numeric)],\n 4369: [4369 - 209806_at (numeric)],\n 4370: [4370 - 209813_x_at (numeric)],\n 4371: [4371 - 209815_at (numeric)],\n 4372: [4372 - 209821_at (numeric)],\n 4373: [4373 - 209822_s_at (numeric)],\n 4374: [4374 - 209823_x_at (numeric)],\n 4375: [4375 - 209825_s_at (numeric)],\n 4376: [4376 - 209835_x_at (numeric)],\n 4377: [4377 - 209836_x_at (numeric)],\n 4378: [4378 - 209844_at (numeric)],\n 4379: [4379 - 209845_at (numeric)],\n 4380: [4380 - 209846_s_at (numeric)],\n 4381: [4381 - 209847_at (numeric)],\n 4382: [4382 - 209852_x_at (numeric)],\n 4383: [4383 - 209854_s_at (numeric)],\n 4384: [4384 - 209855_s_at (numeric)],\n 4385: [4385 - 209860_s_at (numeric)],\n 4386: [4386 - 209861_s_at (numeric)],\n 4387: [4387 - 209863_s_at (numeric)],\n 4388: [4388 - 209865_at (numeric)],\n 4389: [4389 - 209868_s_at (numeric)],\n 4390: [4390 - 209869_at (numeric)],\n 4391: [4391 - 209875_s_at (numeric)],\n 4392: [4392 - 209882_at (numeric)],\n 4393: [4393 - 209884_s_at (numeric)],\n 4394: [4394 - 209888_s_at (numeric)],\n 4395: [4395 - 209894_at (numeric)],\n 4396: [4396 - 209896_s_at (numeric)],\n 4397: [4397 - 209897_s_at (numeric)],\n 4398: [4398 - 209898_x_at (numeric)],\n 4399: [4399 - 209899_s_at (numeric)],\n 4400: [4400 - 209900_s_at (numeric)],\n 4401: [4401 - 209901_x_at (numeric)],\n 4402: [4402 - 209903_s_at (numeric)],\n 4403: [4403 - 209904_at (numeric)],\n 4404: [4404 - 209905_at (numeric)],\n 4405: [4405 - 209906_at (numeric)],\n 4406: [4406 - 209911_x_at (numeric)],\n 4407: [4407 - 209919_x_at (numeric)],\n 4408: [4408 - 209921_at (numeric)],\n 4409: [4409 - 209924_at (numeric)],\n 4410: [4410 - 209932_s_at (numeric)],\n 4411: [4411 - 209933_s_at (numeric)],\n 4412: [4412 - 209934_s_at (numeric)],\n 4413: [4413 - 209935_at (numeric)],\n 4414: [4414 - 209937_at (numeric)],\n 4415: [4415 - 209939_x_at (numeric)],\n 4416: [4416 - 209942_x_at (numeric)],\n 4417: [4417 - 209944_at (numeric)],\n 4418: [4418 - 209948_at (numeric)],\n 4419: [4419 - 209949_at (numeric)],\n 4420: [4420 - 209953_s_at (numeric)],\n 4421: [4421 - 209955_s_at (numeric)],\n 4422: [4422 - 209959_at (numeric)],\n 4423: [4423 - 209960_at (numeric)],\n 4424: [4424 - 209967_s_at (numeric)],\n 4425: [4425 - 209969_s_at (numeric)],\n 4426: [4426 - 209970_x_at (numeric)],\n 4427: [4427 - 209971_x_at (numeric)],\n 4428: [4428 - 209974_s_at (numeric)],\n 4429: [4429 - 209990_s_at (numeric)],\n 4430: [4430 - 209991_x_at (numeric)],\n 4431: [4431 - 210002_at (numeric)],\n 4432: [4432 - 210010_s_at (numeric)],\n 4433: [4433 - 210014_x_at (numeric)],\n 4434: [4434 - 210017_at (numeric)],\n 4435: [4435 - 210018_x_at (numeric)],\n 4436: [4436 - 210020_x_at (numeric)],\n 4437: [4437 - 210021_s_at (numeric)],\n 4438: [4438 - 210024_s_at (numeric)],\n 4439: [4439 - 210026_s_at (numeric)],\n 4440: [4440 - 210027_s_at (numeric)],\n 4441: [4441 - 210029_at (numeric)],\n 4442: [4442 - 210036_s_at (numeric)],\n 4443: [4443 - 210041_s_at (numeric)],\n 4444: [4444 - 210042_s_at (numeric)],\n 4445: [4445 - 210046_s_at (numeric)],\n 4446: [4446 - 210052_s_at (numeric)],\n 4447: [4447 - 210064_s_at (numeric)],\n 4448: [4448 - 210065_s_at (numeric)],\n 4449: [4449 - 210072_at (numeric)],\n 4450: [4450 - 210074_at (numeric)],\n 4451: [4451 - 210076_x_at (numeric)],\n 4452: [4452 - 210084_x_at (numeric)],\n 4453: [4453 - 210088_x_at (numeric)],\n 4454: [4454 - 210092_at (numeric)],\n 4455: [4455 - 210093_s_at (numeric)],\n 4456: [4456 - 210094_s_at (numeric)],\n 4457: [4457 - 210095_s_at (numeric)],\n 4458: [4458 - 210096_at (numeric)],\n 4459: [4459 - 210097_s_at (numeric)],\n 4460: [4460 - 210101_x_at (numeric)],\n 4461: [4461 - 210103_s_at (numeric)],\n 4462: [4462 - 210105_s_at (numeric)],\n 4463: [4463 - 210108_at (numeric)],\n 4464: [4464 - 210110_x_at (numeric)],\n 4465: [4465 - 210111_s_at (numeric)],\n 4466: [4466 - 210117_at (numeric)],\n 4467: [4467 - 210119_at (numeric)],\n 4468: [4468 - 210125_s_at (numeric)],\n 4469: [4469 - 210130_s_at (numeric)],\n 4470: [4470 - 210131_x_at (numeric)],\n 4471: [4471 - 210133_at (numeric)],\n 4472: [4472 - 210135_s_at (numeric)],\n 4473: [4473 - 210136_at (numeric)],\n 4474: [4474 - 210137_s_at (numeric)],\n 4475: [4475 - 210139_s_at (numeric)],\n 4476: [4476 - 210142_x_at (numeric)],\n 4477: [4477 - 210145_at (numeric)],\n 4478: [4478 - 210149_s_at (numeric)],\n 4479: [4479 - 210150_s_at (numeric)],\n 4480: [4480 - 210153_s_at (numeric)],\n 4481: [4481 - 210156_s_at (numeric)],\n 4482: [4482 - 210163_at (numeric)],\n 4483: [4483 - 210164_at (numeric)],\n 4484: [4484 - 210170_at (numeric)],\n 4485: [4485 - 210172_at (numeric)],\n 4486: [4486 - 210174_at (numeric)],\n 4487: [4487 - 210178_x_at (numeric)],\n 4488: [4488 - 210183_x_at (numeric)],\n 4489: [4489 - 210186_s_at (numeric)],\n 4490: [4490 - 210201_x_at (numeric)],\n 4491: [4491 - 210202_s_at (numeric)],\n 4492: [4492 - 210208_x_at (numeric)],\n 4493: [4493 - 210211_s_at (numeric)],\n 4494: [4494 - 210213_s_at (numeric)],\n 4495: [4495 - 210220_at (numeric)],\n 4496: [4496 - 210221_at (numeric)],\n 4497: [4497 - 210222_s_at (numeric)],\n 4498: [4498 - 210230_at (numeric)],\n 4499: [4499 - 210231_x_at (numeric)],\n 4500: [4500 - 210239_at (numeric)],\n 4501: [4501 - 210249_s_at (numeric)],\n 4502: [4502 - 210250_x_at (numeric)],\n 4503: [4503 - 210260_s_at (numeric)],\n 4504: [4504 - 210266_s_at (numeric)],\n 4505: [4505 - 210275_s_at (numeric)],\n 4506: [4506 - 210276_s_at (numeric)],\n 4507: [4507 - 210283_x_at (numeric)],\n 4508: [4508 - 210284_s_at (numeric)],\n 4509: [4509 - 210293_s_at (numeric)],\n 4510: [4510 - 210296_s_at (numeric)],\n 4511: [4511 - 210297_s_at (numeric)],\n 4512: [4512 - 210298_x_at (numeric)],\n 4513: [4513 - 210299_s_at (numeric)],\n 4514: [4514 - 210301_at (numeric)],\n 4515: [4515 - 210312_s_at (numeric)],\n 4516: [4516 - 210314_x_at (numeric)],\n 4517: [4517 - 210317_s_at (numeric)],\n 4518: [4518 - 210319_x_at (numeric)],\n 4519: [4519 - 210320_s_at (numeric)],\n 4520: [4520 - 210328_at (numeric)],\n 4521: [4521 - 210337_s_at (numeric)],\n 4522: [4522 - 210338_s_at (numeric)],\n 4523: [4523 - 210339_s_at (numeric)],\n 4524: [4524 - 210346_s_at (numeric)],\n 4525: [4525 - 210367_s_at (numeric)],\n 4526: [4526 - 210368_at (numeric)],\n 4527: [4527 - 210371_s_at (numeric)],\n 4528: [4528 - 210372_s_at (numeric)],\n 4529: [4529 - 210377_at (numeric)],\n 4530: [4530 - 210386_s_at (numeric)],\n 4531: [4531 - 210387_at (numeric)],\n 4532: [4532 - 210393_at (numeric)],\n 4533: [4533 - 210395_x_at (numeric)],\n 4534: [4534 - 210396_s_at (numeric)],\n 4535: [4535 - 210397_at (numeric)],\n 4536: [4536 - 210406_s_at (numeric)],\n 4537: [4537 - 210413_x_at (numeric)],\n 4538: [4538 - 210418_s_at (numeric)],\n 4539: [4539 - 210425_x_at (numeric)],\n 4540: [4540 - 210427_x_at (numeric)],\n 4541: [4541 - 210428_s_at (numeric)],\n 4542: [4542 - 210431_at (numeric)],\n 4543: [4543 - 210434_x_at (numeric)],\n 4544: [4544 - 210438_x_at (numeric)],\n 4545: [4545 - 210453_x_at (numeric)],\n 4546: [4546 - 210460_s_at (numeric)],\n 4547: [4547 - 210466_s_at (numeric)],\n 4548: [4548 - 210467_x_at (numeric)],\n 4549: [4549 - 210470_x_at (numeric)],\n 4550: [4550 - 210473_s_at (numeric)],\n 4551: [4551 - 210480_s_at (numeric)],\n 4552: [4552 - 210495_x_at (numeric)],\n 4553: [4553 - 210501_x_at (numeric)],\n 4554: [4554 - 210511_s_at (numeric)],\n 4555: [4555 - 210512_s_at (numeric)],\n 4556: [4556 - 210513_s_at (numeric)],\n 4557: [4557 - 210514_x_at (numeric)],\n 4558: [4558 - 210517_s_at (numeric)],\n 4559: [4559 - 210519_s_at (numeric)],\n 4560: [4560 - 210524_x_at (numeric)],\n 4561: [4561 - 210532_s_at (numeric)],\n 4562: [4562 - 210538_s_at (numeric)],\n 4563: [4563 - 210540_s_at (numeric)],\n 4564: [4564 - 210543_s_at (numeric)],\n 4565: [4565 - 210544_s_at (numeric)],\n 4566: [4566 - 210546_x_at (numeric)],\n 4567: [4567 - 210547_x_at (numeric)],\n 4568: [4568 - 210554_s_at (numeric)],\n 4569: [4569 - 210559_s_at (numeric)],\n 4570: [4570 - 210561_s_at (numeric)],\n 4571: [4571 - 210563_x_at (numeric)],\n 4572: [4572 - 210574_s_at (numeric)],\n 4573: [4573 - 210576_at (numeric)],\n 4574: [4574 - 210580_x_at (numeric)],\n 4575: [4575 - 210588_x_at (numeric)],\n 4576: [4576 - 210592_s_at (numeric)],\n 4577: [4577 - 210605_s_at (numeric)],\n 4578: [4578 - 210609_s_at (numeric)],\n 4579: [4579 - 210616_s_at (numeric)],\n 4580: [4580 - 210633_x_at (numeric)],\n 4581: [4581 - 210638_s_at (numeric)],\n 4582: [4582 - 210645_s_at (numeric)],\n 4583: [4583 - 210646_x_at (numeric)],\n 4584: [4584 - 210648_x_at (numeric)],\n 4585: [4585 - 210649_s_at (numeric)],\n 4586: [4586 - 210652_s_at (numeric)],\n 4587: [4587 - 210664_s_at (numeric)],\n 4588: [4588 - 210665_at (numeric)],\n 4589: [4589 - 210676_x_at (numeric)],\n 4590: [4590 - 210679_x_at (numeric)],\n 4591: [4591 - 210686_x_at (numeric)],\n 4592: [4592 - 210691_s_at (numeric)],\n 4593: [4593 - 210715_s_at (numeric)],\n 4594: [4594 - 210717_at (numeric)],\n 4595: [4595 - 210719_s_at (numeric)],\n 4596: [4596 - 210720_s_at (numeric)],\n 4597: [4597 - 210727_at (numeric)],\n 4598: [4598 - 210728_s_at (numeric)],\n 4599: [4599 - 210733_at (numeric)],\n 4600: [4600 - 210735_s_at (numeric)],\n 4601: [4601 - 210738_s_at (numeric)],\n 4602: [4602 - 210739_x_at (numeric)],\n 4603: [4603 - 210740_s_at (numeric)],\n 4604: [4604 - 210749_x_at (numeric)],\n 4605: [4605 - 210754_s_at (numeric)],\n 4606: [4606 - 210755_at (numeric)],\n 4607: [4607 - 210757_x_at (numeric)],\n 4608: [4608 - 210759_s_at (numeric)],\n 4609: [4609 - 210761_s_at (numeric)],\n 4610: [4610 - 210762_s_at (numeric)],\n 4611: [4611 - 210764_s_at (numeric)],\n 4612: [4612 - 210766_s_at (numeric)],\n 4613: [4613 - 210768_x_at (numeric)],\n 4614: [4614 - 210774_s_at (numeric)],\n 4615: [4615 - 210776_x_at (numeric)],\n 4616: [4616 - 210785_s_at (numeric)],\n 4617: [4617 - 210788_s_at (numeric)],\n 4618: [4618 - 210794_s_at (numeric)],\n 4619: [4619 - 210809_s_at (numeric)],\n 4620: [4620 - 210817_s_at (numeric)],\n 4621: [4621 - 210825_s_at (numeric)],\n 4622: [4622 - 210827_s_at (numeric)],\n 4623: [4623 - 210829_s_at (numeric)],\n 4624: [4624 - 210830_s_at (numeric)],\n 4625: [4625 - 210835_s_at (numeric)],\n 4626: [4626 - 210839_s_at (numeric)],\n 4627: [4627 - 210840_s_at (numeric)],\n 4628: [4628 - 210844_x_at (numeric)],\n 4629: [4629 - 210845_s_at (numeric)],\n 4630: [4630 - 210854_x_at (numeric)],\n 4631: [4631 - 210858_x_at (numeric)],\n 4632: [4632 - 210869_s_at (numeric)],\n 4633: [4633 - 210878_s_at (numeric)],\n 4634: [4634 - 210881_s_at (numeric)],\n 4635: [4635 - 210889_s_at (numeric)],\n 4636: [4636 - 210891_s_at (numeric)],\n 4637: [4637 - 210896_s_at (numeric)],\n 4638: [4638 - 210907_s_at (numeric)],\n 4639: [4639 - 210908_s_at (numeric)],\n 4640: [4640 - 210915_x_at (numeric)],\n 4641: [4641 - 210916_s_at (numeric)],\n 4642: [4642 - 210927_x_at (numeric)],\n 4643: [4643 - 210930_s_at (numeric)],\n 4644: [4644 - 210933_s_at (numeric)],\n 4645: [4645 - 210935_s_at (numeric)],\n 4646: [4646 - 210946_at (numeric)],\n 4647: [4647 - 210949_s_at (numeric)],\n 4648: [4648 - 210950_s_at (numeric)],\n 4649: [4649 - 210951_x_at (numeric)],\n 4650: [4650 - 210962_s_at (numeric)],\n 4651: [4651 - 210968_s_at (numeric)],\n 4652: [4652 - 210970_s_at (numeric)],\n 4653: [4653 - 210972_x_at (numeric)],\n 4654: [4654 - 210973_s_at (numeric)],\n 4655: [4655 - 210976_s_at (numeric)],\n 4656: [4656 - 210978_s_at (numeric)],\n 4657: [4657 - 210980_s_at (numeric)],\n 4658: [4658 - 210982_s_at (numeric)],\n 4659: [4659 - 210983_s_at (numeric)],\n 4660: [4660 - 210986_s_at (numeric)],\n 4661: [4661 - 210987_x_at (numeric)],\n 4662: [4662 - 210993_s_at (numeric)],\n 4663: [4663 - 210996_s_at (numeric)],\n 4664: [4664 - 210997_at (numeric)],\n 4665: [4665 - 210998_s_at (numeric)],\n 4666: [4666 - 211000_s_at (numeric)],\n 4667: [4667 - 211002_s_at (numeric)],\n 4668: [4668 - 211015_s_at (numeric)],\n 4669: [4669 - 211023_at (numeric)],\n 4670: [4670 - 211024_s_at (numeric)],\n 4671: [4671 - 211025_x_at (numeric)],\n 4672: [4672 - 211026_s_at (numeric)],\n 4673: [4673 - 211034_s_at (numeric)],\n 4674: [4674 - 211036_x_at (numeric)],\n 4675: [4675 - 211038_s_at (numeric)],\n 4676: [4676 - 211040_x_at (numeric)],\n 4677: [4677 - 211042_x_at (numeric)],\n 4678: [4678 - 211047_x_at (numeric)],\n 4679: [4679 - 211048_s_at (numeric)],\n 4680: [4680 - 211058_x_at (numeric)],\n 4681: [4681 - 211060_x_at (numeric)],\n 4682: [4682 - 211063_s_at (numeric)],\n 4683: [4683 - 211066_x_at (numeric)],\n 4684: [4684 - 211068_x_at (numeric)],\n 4685: [4685 - 211069_s_at (numeric)],\n 4686: [4686 - 211070_x_at (numeric)],\n 4687: [4687 - 211071_s_at (numeric)],\n 4688: [4688 - 211072_x_at (numeric)],\n 4689: [4689 - 211073_x_at (numeric)],\n 4690: [4690 - 211074_at (numeric)],\n 4691: [4691 - 211075_s_at (numeric)],\n 4692: [4692 - 211090_s_at (numeric)],\n 4693: [4693 - 211098_x_at (numeric)],\n 4694: [4694 - 211110_s_at (numeric)],\n 4695: [4695 - 211122_s_at (numeric)],\n 4696: [4696 - 211126_s_at (numeric)],\n 4697: [4697 - 211136_s_at (numeric)],\n 4698: [4698 - 211137_s_at (numeric)],\n 4699: [4699 - 211144_x_at (numeric)],\n 4700: [4700 - 211160_x_at (numeric)],\n 4701: [4701 - 211161_s_at (numeric)],\n 4702: [4702 - 211185_s_at (numeric)],\n 4703: [4703 - 211202_s_at (numeric)],\n 4704: [4704 - 211208_s_at (numeric)],\n 4705: [4705 - 211240_x_at (numeric)],\n 4706: [4706 - 211257_x_at (numeric)],\n 4707: [4707 - 211270_x_at (numeric)],\n 4708: [4708 - 211271_x_at (numeric)],\n 4709: [4709 - 211275_s_at (numeric)],\n 4710: [4710 - 211276_at (numeric)],\n 4711: [4711 - 211277_x_at (numeric)],\n 4712: [4712 - 211284_s_at (numeric)],\n 4713: [4713 - 211285_s_at (numeric)],\n 4714: [4714 - 211296_x_at (numeric)],\n 4715: [4715 - 211297_s_at (numeric)],\n 4716: [4716 - 211298_s_at (numeric)],\n 4717: [4717 - 211302_s_at (numeric)],\n 4718: [4718 - 211303_x_at (numeric)],\n 4719: [4719 - 211316_x_at (numeric)],\n 4720: [4720 - 211318_s_at (numeric)],\n 4721: [4721 - 211323_s_at (numeric)],\n 4722: [4722 - 211325_x_at (numeric)],\n 4723: [4723 - 211340_s_at (numeric)],\n 4724: [4724 - 211343_s_at (numeric)],\n 4725: [4725 - 211345_x_at (numeric)],\n 4726: [4726 - 211366_x_at (numeric)],\n 4727: [4727 - 211368_s_at (numeric)],\n 4728: [4728 - 211375_s_at (numeric)],\n 4729: [4729 - 211378_x_at (numeric)],\n 4730: [4730 - 211381_x_at (numeric)],\n 4731: [4731 - 211382_s_at (numeric)],\n 4732: [4732 - 211395_x_at (numeric)],\n 4733: [4733 - 211404_s_at (numeric)],\n 4734: [4734 - 211417_x_at (numeric)],\n 4735: [4735 - 211423_s_at (numeric)],\n 4736: [4736 - 211429_s_at (numeric)],\n 4737: [4737 - 211430_s_at (numeric)],\n 4738: [4738 - 211445_x_at (numeric)],\n 4739: [4739 - 211450_s_at (numeric)],\n 4740: [4740 - 211452_x_at (numeric)],\n 4741: [4741 - 211454_x_at (numeric)],\n 4742: [4742 - 211456_x_at (numeric)],\n 4743: [4743 - 211458_s_at (numeric)],\n 4744: [4744 - 211464_x_at (numeric)],\n 4745: [4745 - 211465_x_at (numeric)],\n 4746: [4746 - 211474_s_at (numeric)],\n 4747: [4747 - 211475_s_at (numeric)],\n 4748: [4748 - 211478_s_at (numeric)],\n 4749: [4749 - 211487_x_at (numeric)],\n 4750: [4750 - 211494_s_at (numeric)],\n 4751: [4751 - 211497_x_at (numeric)],\n 4752: [4752 - 211501_s_at (numeric)],\n 4753: [4753 - 211503_s_at (numeric)],\n 4754: [4754 - 211505_s_at (numeric)],\n 4755: [4755 - 211506_s_at (numeric)],\n 4756: [4756 - 211509_s_at (numeric)],\n 4757: [4757 - 211527_x_at (numeric)],\n 4758: [4758 - 211528_x_at (numeric)],\n 4759: [4759 - 211529_x_at (numeric)],\n 4760: [4760 - 211530_x_at (numeric)],\n 4761: [4761 - 211535_s_at (numeric)],\n 4762: [4762 - 211537_x_at (numeric)],\n 4763: [4763 - 211538_s_at (numeric)],\n 4764: [4764 - 211542_x_at (numeric)],\n 4765: [4765 - 211548_s_at (numeric)],\n 4766: [4766 - 211549_s_at (numeric)],\n 4767: [4767 - 211559_s_at (numeric)],\n 4768: [4768 - 211562_s_at (numeric)],\n 4769: [4769 - 211563_s_at (numeric)],\n 4770: [4770 - 211565_at (numeric)],\n 4771: [4771 - 211569_s_at (numeric)],\n 4772: [4772 - 211571_s_at (numeric)],\n 4773: [4773 - 211574_s_at (numeric)],\n 4774: [4774 - 211577_s_at (numeric)],\n 4775: [4775 - 211594_s_at (numeric)],\n 4776: [4776 - 211596_s_at (numeric)],\n 4777: [4777 - 211597_s_at (numeric)],\n 4778: [4778 - 211599_x_at (numeric)],\n 4779: [4779 - 211600_at (numeric)],\n 4780: [4780 - 211603_s_at (numeric)],\n 4781: [4781 - 211609_x_at (numeric)],\n 4782: [4782 - 211615_s_at (numeric)],\n 4783: [4783 - 211619_s_at (numeric)],\n 4784: [4784 - 211623_s_at (numeric)],\n 4785: [4785 - 211626_x_at (numeric)],\n 4786: [4786 - 211628_x_at (numeric)],\n 4787: [4787 - 211633_x_at (numeric)],\n 4788: [4788 - 211634_x_at (numeric)],\n 4789: [4789 - 211635_x_at (numeric)],\n 4790: [4790 - 211637_x_at (numeric)],\n 4791: [4791 - 211639_x_at (numeric)],\n 4792: [4792 - 211641_x_at (numeric)],\n 4793: [4793 - 211643_x_at (numeric)],\n 4794: [4794 - 211644_x_at (numeric)],\n 4795: [4795 - 211645_x_at (numeric)],\n 4796: [4796 - 211650_x_at (numeric)],\n 4797: [4797 - 211651_s_at (numeric)],\n 4798: [4798 - 211652_s_at (numeric)],\n 4799: [4799 - 211653_x_at (numeric)],\n 4800: [4800 - 211654_x_at (numeric)],\n 4801: [4801 - 211656_x_at (numeric)],\n 4802: [4802 - 211657_at (numeric)],\n 4803: [4803 - 211658_at (numeric)],\n 4804: [4804 - 211662_s_at (numeric)],\n 4805: [4805 - 211663_x_at (numeric)],\n 4806: [4806 - 211666_x_at (numeric)],\n 4807: [4807 - 211668_s_at (numeric)],\n 4808: [4808 - 211671_s_at (numeric)],\n 4809: [4809 - 211674_x_at (numeric)],\n 4810: [4810 - 211675_s_at (numeric)],\n 4811: [4811 - 211676_s_at (numeric)],\n 4812: [4812 - 211678_s_at (numeric)],\n 4813: [4813 - 211679_x_at (numeric)],\n 4814: [4814 - 211684_s_at (numeric)],\n 4815: [4815 - 211685_s_at (numeric)],\n 4816: [4816 - 211689_s_at (numeric)],\n 4817: [4817 - 211695_x_at (numeric)],\n 4818: [4818 - 211696_x_at (numeric)],\n 4819: [4819 - 211697_x_at (numeric)],\n 4820: [4820 - 211698_at (numeric)],\n 4821: [4821 - 211699_x_at (numeric)],\n 4822: [4822 - 211700_s_at (numeric)],\n 4823: [4823 - 211702_s_at (numeric)],\n 4824: [4824 - 211709_s_at (numeric)],\n 4825: [4825 - 211710_x_at (numeric)],\n 4826: [4826 - 211711_s_at (numeric)],\n 4827: [4827 - 211713_x_at (numeric)],\n 4828: [4828 - 211714_x_at (numeric)],\n 4829: [4829 - 211716_x_at (numeric)],\n 4830: [4830 - 211719_x_at (numeric)],\n 4831: [4831 - 211720_x_at (numeric)],\n 4832: [4832 - 211724_x_at (numeric)],\n 4833: [4833 - 211726_s_at (numeric)],\n 4834: [4834 - 211727_s_at (numeric)],\n 4835: [4835 - 211729_x_at (numeric)],\n 4836: [4836 - 211730_s_at (numeric)],\n 4837: [4837 - 211733_x_at (numeric)],\n 4838: [4838 - 211737_x_at (numeric)],\n 4839: [4839 - 211742_s_at (numeric)],\n 4840: [4840 - 211744_s_at (numeric)],\n 4841: [4841 - 211745_x_at (numeric)],\n 4842: [4842 - 211746_x_at (numeric)],\n 4843: [4843 - 211747_s_at (numeric)],\n 4844: [4844 - 211748_x_at (numeric)],\n 4845: [4845 - 211749_s_at (numeric)],\n 4846: [4846 - 211750_x_at (numeric)],\n 4847: [4847 - 211753_s_at (numeric)],\n 4848: [4848 - 211754_s_at (numeric)],\n 4849: [4849 - 211755_s_at (numeric)],\n 4850: [4850 - 211758_x_at (numeric)],\n 4851: [4851 - 211759_x_at (numeric)],\n 4852: [4852 - 211761_s_at (numeric)],\n 4853: [4853 - 211762_s_at (numeric)],\n 4854: [4854 - 211764_s_at (numeric)],\n 4855: [4855 - 211765_x_at (numeric)],\n 4856: [4856 - 211769_x_at (numeric)],\n 4857: [4857 - 211779_x_at (numeric)],\n 4858: [4858 - 211783_s_at (numeric)],\n 4859: [4859 - 211784_s_at (numeric)],\n 4860: [4860 - 211787_s_at (numeric)],\n 4861: [4861 - 211792_s_at (numeric)],\n 4862: [4862 - 211795_s_at (numeric)],\n 4863: [4863 - 211796_s_at (numeric)],\n 4864: [4864 - 211798_x_at (numeric)],\n 4865: [4865 - 211799_x_at (numeric)],\n 4866: [4866 - 211813_x_at (numeric)],\n 4867: [4867 - 211828_s_at (numeric)],\n 4868: [4868 - 211848_s_at (numeric)],\n 4869: [4869 - 211858_x_at (numeric)],\n 4870: [4870 - 211862_x_at (numeric)],\n 4871: [4871 - 211864_s_at (numeric)],\n 4872: [4872 - 211881_x_at (numeric)],\n 4873: [4873 - 211883_x_at (numeric)],\n 4874: [4874 - 211889_x_at (numeric)],\n 4875: [4875 - 211896_s_at (numeric)],\n 4876: [4876 - 211906_s_at (numeric)],\n 4877: [4877 - 211911_x_at (numeric)],\n 4878: [4878 - 211919_s_at (numeric)],\n 4879: [4879 - 211921_x_at (numeric)],\n 4880: [4880 - 211922_s_at (numeric)],\n 4881: [4881 - 211924_s_at (numeric)],\n 4882: [4882 - 211926_s_at (numeric)],\n 4883: [4883 - 211927_x_at (numeric)],\n 4884: [4884 - 211928_at (numeric)],\n 4885: [4885 - 211929_at (numeric)],\n 4886: [4886 - 211930_at (numeric)],\n 4887: [4887 - 211931_s_at (numeric)],\n 4888: [4888 - 211932_at (numeric)],\n 4889: [4889 - 211933_s_at (numeric)],\n 4890: [4890 - 211934_x_at (numeric)],\n 4891: [4891 - 211935_at (numeric)],\n 4892: [4892 - 211936_at (numeric)],\n 4893: [4893 - 211937_at (numeric)],\n 4894: [4894 - 211938_at (numeric)],\n 4895: [4895 - 211939_x_at (numeric)],\n 4896: [4896 - 211940_x_at (numeric)],\n 4897: [4897 - 211941_s_at (numeric)],\n 4898: [4898 - 211942_x_at (numeric)],\n 4899: [4899 - 211943_x_at (numeric)],\n 4900: [4900 - 211944_at (numeric)],\n 4901: [4901 - 211945_s_at (numeric)],\n 4902: [4902 - 211946_s_at (numeric)],\n 4903: [4903 - 211948_x_at (numeric)],\n 4904: [4904 - 211950_at (numeric)],\n 4905: [4905 - 211951_at (numeric)],\n 4906: [4906 - 211953_s_at (numeric)],\n 4907: [4907 - 211954_s_at (numeric)],\n 4908: [4908 - 211955_at (numeric)],\n 4909: [4909 - 211956_s_at (numeric)],\n 4910: [4910 - 211958_at (numeric)],\n 4911: [4911 - 211959_at (numeric)],\n 4912: [4912 - 211960_s_at (numeric)],\n 4913: [4913 - 211961_s_at (numeric)],\n 4914: [4914 - 211962_s_at (numeric)],\n 4915: [4915 - 211963_s_at (numeric)],\n 4916: [4916 - 211964_at (numeric)],\n 4917: [4917 - 211965_at (numeric)],\n 4918: [4918 - 211966_at (numeric)],\n 4919: [4919 - 211967_at (numeric)],\n 4920: [4920 - 211968_s_at (numeric)],\n 4921: [4921 - 211969_at (numeric)],\n 4922: [4922 - 211970_x_at (numeric)],\n 4923: [4923 - 211971_s_at (numeric)],\n 4924: [4924 - 211972_x_at (numeric)],\n 4925: [4925 - 211974_x_at (numeric)],\n 4926: [4926 - 211976_at (numeric)],\n 4927: [4927 - 211978_x_at (numeric)],\n 4928: [4928 - 211980_at (numeric)],\n 4929: [4929 - 211981_at (numeric)],\n 4930: [4930 - 211982_x_at (numeric)],\n 4931: [4931 - 211983_x_at (numeric)],\n 4932: [4932 - 211984_at (numeric)],\n 4933: [4933 - 211985_s_at (numeric)],\n 4934: [4934 - 211986_at (numeric)],\n 4935: [4935 - 211987_at (numeric)],\n 4936: [4936 - 211988_at (numeric)],\n 4937: [4937 - 211989_at (numeric)],\n 4938: [4938 - 211990_at (numeric)],\n 4939: [4939 - 211991_s_at (numeric)],\n 4940: [4940 - 211992_at (numeric)],\n 4941: [4941 - 211994_at (numeric)],\n 4942: [4942 - 211995_x_at (numeric)],\n 4943: [4943 - 211996_s_at (numeric)],\n 4944: [4944 - 211997_x_at (numeric)],\n 4945: [4945 - 211998_at (numeric)],\n 4946: [4946 - 211999_at (numeric)],\n 4947: [4947 - 212006_at (numeric)],\n 4948: [4948 - 212007_at (numeric)],\n 4949: [4949 - 212008_at (numeric)],\n 4950: [4950 - 212010_s_at (numeric)],\n 4951: [4951 - 212012_at (numeric)],\n 4952: [4952 - 212013_at (numeric)],\n 4953: [4953 - 212014_x_at (numeric)],\n 4954: [4954 - 212015_x_at (numeric)],\n 4955: [4955 - 212017_at (numeric)],\n 4956: [4956 - 212018_s_at (numeric)],\n 4957: [4957 - 212020_s_at (numeric)],\n 4958: [4958 - 212021_s_at (numeric)],\n 4959: [4959 - 212022_s_at (numeric)],\n 4960: [4960 - 212024_x_at (numeric)],\n 4961: [4961 - 212027_at (numeric)],\n 4962: [4962 - 212031_at (numeric)],\n 4963: [4963 - 212032_s_at (numeric)],\n 4964: [4964 - 212033_at (numeric)],\n 4965: [4965 - 212034_s_at (numeric)],\n 4966: [4966 - 212036_s_at (numeric)],\n 4967: [4967 - 212037_at (numeric)],\n 4968: [4968 - 212038_s_at (numeric)],\n 4969: [4969 - 212039_x_at (numeric)],\n 4970: [4970 - 212041_at (numeric)],\n 4971: [4971 - 212042_x_at (numeric)],\n 4972: [4972 - 212043_at (numeric)],\n 4973: [4973 - 212044_s_at (numeric)],\n 4974: [4974 - 212047_s_at (numeric)],\n 4975: [4975 - 212048_s_at (numeric)],\n 4976: [4976 - 212050_at (numeric)],\n 4977: [4977 - 212051_at (numeric)],\n 4978: [4978 - 212052_s_at (numeric)],\n 4979: [4979 - 212053_at (numeric)],\n 4980: [4980 - 212055_at (numeric)],\n 4981: [4981 - 212056_at (numeric)],\n 4982: [4982 - 212057_at (numeric)],\n 4983: [4983 - 212058_at (numeric)],\n 4984: [4984 - 212062_at (numeric)],\n 4985: [4985 - 212063_at (numeric)],\n 4986: [4986 - 212064_x_at (numeric)],\n 4987: [4987 - 212066_s_at (numeric)],\n 4988: [4988 - 212067_s_at (numeric)],\n 4989: [4989 - 212068_s_at (numeric)],\n 4990: [4990 - 212070_at (numeric)],\n 4991: [4991 - 212071_s_at (numeric)],\n 4992: [4992 - 212072_s_at (numeric)],\n 4993: [4993 - 212074_at (numeric)],\n 4994: [4994 - 212077_at (numeric)],\n 4995: [4995 - 212081_x_at (numeric)],\n 4996: [4996 - 212082_s_at (numeric)],\n 4997: [4997 - 212085_at (numeric)],\n 4998: [4998 - 212086_x_at (numeric)],\n 4999: [4999 - 212089_at (numeric)],\n 5000: [5000 - 212090_at (numeric)],\n 5001: [5001 - 212091_s_at (numeric)],\n 5002: [5002 - 212092_at (numeric)],\n 5003: [5003 - 212093_s_at (numeric)],\n 5004: [5004 - 212094_at (numeric)],\n 5005: [5005 - 212096_s_at (numeric)],\n 5006: [5006 - 212097_at (numeric)],\n 5007: [5007 - 212098_at (numeric)],\n 5008: [5008 - 212099_at (numeric)],\n 5009: [5009 - 212104_s_at (numeric)],\n 5010: [5010 - 212107_s_at (numeric)],\n 5011: [5011 - 212108_at (numeric)],\n 5012: [5012 - 212110_at (numeric)],\n 5013: [5013 - 212112_s_at (numeric)],\n 5014: [5014 - 212114_at (numeric)],\n 5015: [5015 - 212115_at (numeric)],\n 5016: [5016 - 212116_at (numeric)],\n 5017: [5017 - 212117_at (numeric)],\n 5018: [5018 - 212119_at (numeric)],\n 5019: [5019 - 212120_at (numeric)],\n 5020: [5020 - 212121_at (numeric)],\n 5021: [5021 - 212124_at (numeric)],\n 5022: [5022 - 212126_at (numeric)],\n 5023: [5023 - 212129_at (numeric)],\n 5024: [5024 - 212130_x_at (numeric)],\n 5025: [5025 - 212131_at (numeric)],\n 5026: [5026 - 212132_at (numeric)],\n 5027: [5027 - 212135_s_at (numeric)],\n 5028: [5028 - 212136_at (numeric)],\n 5029: [5029 - 212137_at (numeric)],\n 5030: [5030 - 212138_at (numeric)],\n 5031: [5031 - 212140_at (numeric)],\n 5032: [5032 - 212141_at (numeric)],\n 5033: [5033 - 212143_s_at (numeric)],\n 5034: [5034 - 212145_at (numeric)],\n 5035: [5035 - 212148_at (numeric)],\n 5036: [5036 - 212149_at (numeric)],\n 5037: [5037 - 212150_at (numeric)],\n 5038: [5038 - 212151_at (numeric)],\n 5039: [5039 - 212152_x_at (numeric)],\n 5040: [5040 - 212153_at (numeric)],\n 5041: [5041 - 212154_at (numeric)],\n 5042: [5042 - 212155_at (numeric)],\n 5043: [5043 - 212157_at (numeric)],\n 5044: [5044 - 212158_at (numeric)],\n 5045: [5045 - 212159_x_at (numeric)],\n 5046: [5046 - 212160_at (numeric)],\n 5047: [5047 - 212163_at (numeric)],\n 5048: [5048 - 212165_at (numeric)],\n 5049: [5049 - 212166_at (numeric)],\n 5050: [5050 - 212167_s_at (numeric)],\n 5051: [5051 - 212168_at (numeric)],\n 5052: [5052 - 212169_at (numeric)],\n 5053: [5053 - 212171_x_at (numeric)],\n 5054: [5054 - 212175_s_at (numeric)],\n 5055: [5055 - 212176_at (numeric)],\n 5056: [5056 - 212177_at (numeric)],\n 5057: [5057 - 212179_at (numeric)],\n 5058: [5058 - 212180_at (numeric)],\n 5059: [5059 - 212181_s_at (numeric)],\n 5060: [5060 - 212183_at (numeric)],\n 5061: [5061 - 212184_s_at (numeric)],\n 5062: [5062 - 212185_x_at (numeric)],\n 5063: [5063 - 212186_at (numeric)],\n 5064: [5064 - 212187_x_at (numeric)],\n 5065: [5065 - 212188_at (numeric)],\n 5066: [5066 - 212190_at (numeric)],\n 5067: [5067 - 212191_x_at (numeric)],\n 5068: [5068 - 212192_at (numeric)],\n 5069: [5069 - 212195_at (numeric)],\n 5070: [5070 - 212196_at (numeric)],\n 5071: [5071 - 212197_x_at (numeric)],\n 5072: [5072 - 212199_at (numeric)],\n 5073: [5073 - 212202_s_at (numeric)],\n 5074: [5074 - 212203_x_at (numeric)],\n 5075: [5075 - 212204_at (numeric)],\n 5076: [5076 - 212205_at (numeric)],\n 5077: [5077 - 212206_s_at (numeric)],\n 5078: [5078 - 212208_at (numeric)],\n 5079: [5079 - 212215_at (numeric)],\n 5080: [5080 - 212217_at (numeric)],\n 5081: [5081 - 212218_s_at (numeric)],\n 5082: [5082 - 212219_at (numeric)],\n 5083: [5083 - 212221_x_at (numeric)],\n 5084: [5084 - 212222_at (numeric)],\n 5085: [5085 - 212224_at (numeric)],\n 5086: [5086 - 212226_s_at (numeric)],\n 5087: [5087 - 212227_x_at (numeric)],\n 5088: [5088 - 212228_s_at (numeric)],\n 5089: [5089 - 212229_s_at (numeric)],\n 5090: [5090 - 212230_at (numeric)],\n 5091: [5091 - 212231_at (numeric)],\n 5092: [5092 - 212232_at (numeric)],\n 5093: [5093 - 212233_at (numeric)],\n 5094: [5094 - 212236_x_at (numeric)],\n 5095: [5095 - 212239_at (numeric)],\n 5096: [5096 - 212240_s_at (numeric)],\n 5097: [5097 - 212242_at (numeric)],\n 5098: [5098 - 212244_at (numeric)],\n 5099: [5099 - 212245_at (numeric)],\n 5100: [5100 - 212247_at (numeric)],\n 5101: [5101 - 212248_at (numeric)],\n 5102: [5102 - 212249_at (numeric)],\n 5103: [5103 - 212250_at (numeric)],\n 5104: [5104 - 212251_at (numeric)],\n 5105: [5105 - 212252_at (numeric)],\n 5106: [5106 - 212253_x_at (numeric)],\n 5107: [5107 - 212254_s_at (numeric)],\n 5108: [5108 - 212255_s_at (numeric)],\n 5109: [5109 - 212256_at (numeric)],\n 5110: [5110 - 212262_at (numeric)],\n 5111: [5111 - 212263_at (numeric)],\n 5112: [5112 - 212264_s_at (numeric)],\n 5113: [5113 - 212265_at (numeric)],\n 5114: [5114 - 212266_s_at (numeric)],\n 5115: [5115 - 212267_at (numeric)],\n 5116: [5116 - 212268_at (numeric)],\n 5117: [5117 - 212270_x_at (numeric)],\n 5118: [5118 - 212271_at (numeric)],\n 5119: [5119 - 212273_x_at (numeric)],\n 5120: [5120 - 212279_at (numeric)],\n 5121: [5121 - 212281_s_at (numeric)],\n 5122: [5122 - 212282_at (numeric)],\n 5123: [5123 - 212284_x_at (numeric)],\n 5124: [5124 - 212285_s_at (numeric)],\n 5125: [5125 - 212287_at (numeric)],\n 5126: [5126 - 212288_at (numeric)],\n 5127: [5127 - 212290_at (numeric)],\n 5128: [5128 - 212291_at (numeric)],\n 5129: [5129 - 212293_at (numeric)],\n 5130: [5130 - 212294_at (numeric)],\n 5131: [5131 - 212295_s_at (numeric)],\n 5132: [5132 - 212296_at (numeric)],\n 5133: [5133 - 212297_at (numeric)],\n 5134: [5134 - 212298_at (numeric)],\n 5135: [5135 - 212305_s_at (numeric)],\n 5136: [5136 - 212307_s_at (numeric)],\n 5137: [5137 - 212310_at (numeric)],\n 5138: [5138 - 212311_at (numeric)],\n 5139: [5139 - 212314_at (numeric)],\n 5140: [5140 - 212318_at (numeric)],\n 5141: [5141 - 212320_at (numeric)],\n 5142: [5142 - 212321_at (numeric)],\n 5143: [5143 - 212322_at (numeric)],\n 5144: [5144 - 212325_at (numeric)],\n 5145: [5145 - 212327_at (numeric)],\n 5146: [5146 - 212328_at (numeric)],\n 5147: [5147 - 212330_at (numeric)],\n 5148: [5148 - 212331_at (numeric)],\n 5149: [5149 - 212333_at (numeric)],\n 5150: [5150 - 212334_at (numeric)],\n 5151: [5151 - 212335_at (numeric)],\n 5152: [5152 - 212337_at (numeric)],\n 5153: [5153 - 212341_at (numeric)],\n 5154: [5154 - 212344_at (numeric)],\n 5155: [5155 - 212345_s_at (numeric)],\n 5156: [5156 - 212348_s_at (numeric)],\n 5157: [5157 - 212350_at (numeric)],\n 5158: [5158 - 212352_s_at (numeric)],\n 5159: [5159 - 212353_at (numeric)],\n 5160: [5160 - 212354_at (numeric)],\n 5161: [5161 - 212359_s_at (numeric)],\n 5162: [5162 - 212361_s_at (numeric)],\n 5163: [5163 - 212363_x_at (numeric)],\n 5164: [5164 - 212364_at (numeric)],\n 5165: [5165 - 212365_at (numeric)],\n 5166: [5166 - 212367_at (numeric)],\n 5167: [5167 - 212368_at (numeric)],\n 5168: [5168 - 212370_x_at (numeric)],\n 5169: [5169 - 212371_at (numeric)],\n 5170: [5170 - 212372_at (numeric)],\n 5171: [5171 - 212377_s_at (numeric)],\n 5172: [5172 - 212378_at (numeric)],\n 5173: [5173 - 212382_at (numeric)],\n 5174: [5174 - 212385_at (numeric)],\n 5175: [5175 - 212386_at (numeric)],\n 5176: [5176 - 212387_at (numeric)],\n 5177: [5177 - 212390_at (numeric)],\n 5178: [5178 - 212391_x_at (numeric)],\n 5179: [5179 - 212397_at (numeric)],\n 5180: [5180 - 212398_at (numeric)],\n 5181: [5181 - 212399_s_at (numeric)],\n 5182: [5182 - 212401_s_at (numeric)],\n 5183: [5183 - 212405_s_at (numeric)],\n 5184: [5184 - 212406_s_at (numeric)],\n 5185: [5185 - 212408_at (numeric)],\n 5186: [5186 - 212410_at (numeric)],\n 5187: [5187 - 212412_at (numeric)],\n 5188: [5188 - 212414_s_at (numeric)],\n 5189: [5189 - 212416_at (numeric)],\n 5190: [5190 - 212417_at (numeric)],\n 5191: [5191 - 212418_at (numeric)],\n 5192: [5192 - 212419_at (numeric)],\n 5193: [5193 - 212420_at (numeric)],\n 5194: [5194 - 212423_at (numeric)],\n 5195: [5195 - 212426_s_at (numeric)],\n 5196: [5196 - 212428_at (numeric)],\n 5197: [5197 - 212429_s_at (numeric)],\n 5198: [5198 - 212433_x_at (numeric)],\n 5199: [5199 - 212435_at (numeric)],\n 5200: [5200 - 212440_at (numeric)],\n 5201: [5201 - 212441_at (numeric)],\n 5202: [5202 - 212442_s_at (numeric)],\n 5203: [5203 - 212444_at (numeric)],\n 5204: [5204 - 212445_s_at (numeric)],\n 5205: [5205 - 212446_s_at (numeric)],\n 5206: [5206 - 212447_at (numeric)],\n 5207: [5207 - 212448_at (numeric)],\n 5208: [5208 - 212449_s_at (numeric)],\n 5209: [5209 - 212450_at (numeric)],\n 5210: [5210 - 212451_at (numeric)],\n 5211: [5211 - 212454_x_at (numeric)],\n 5212: [5212 - 212455_at (numeric)],\n 5213: [5213 - 212457_at (numeric)],\n 5214: [5214 - 212458_at (numeric)],\n 5215: [5215 - 212459_x_at (numeric)],\n 5216: [5216 - 212460_at (numeric)],\n 5217: [5217 - 212461_at (numeric)],\n 5218: [5218 - 212462_at (numeric)],\n 5219: [5219 - 212463_at (numeric)],\n 5220: [5220 - 212464_s_at (numeric)],\n 5221: [5221 - 212465_at (numeric)],\n 5222: [5222 - 212470_at (numeric)],\n 5223: [5223 - 212473_s_at (numeric)],\n 5224: [5224 - 212474_at (numeric)],\n 5225: [5225 - 212476_at (numeric)],\n 5226: [5226 - 212481_s_at (numeric)],\n 5227: [5227 - 212482_at (numeric)],\n 5228: [5228 - 212488_at (numeric)],\n 5229: [5229 - 212489_at (numeric)],\n 5230: [5230 - 212492_s_at (numeric)],\n 5231: [5231 - 212494_at (numeric)],\n 5232: [5232 - 212496_s_at (numeric)],\n 5233: [5233 - 212498_at (numeric)],\n 5234: [5234 - 212501_at (numeric)],\n 5235: [5235 - 212503_s_at (numeric)],\n 5236: [5236 - 212504_at (numeric)],\n 5237: [5237 - 212506_at (numeric)],\n 5238: [5238 - 212507_at (numeric)],\n 5239: [5239 - 212508_at (numeric)],\n 5240: [5240 - 212509_s_at (numeric)],\n 5241: [5241 - 212510_at (numeric)],\n 5242: [5242 - 212513_s_at (numeric)],\n 5243: [5243 - 212514_x_at (numeric)],\n 5244: [5244 - 212515_s_at (numeric)],\n 5245: [5245 - 212519_at (numeric)],\n 5246: [5246 - 212520_s_at (numeric)],\n 5247: [5247 - 212522_at (numeric)],\n 5248: [5248 - 212526_at (numeric)],\n 5249: [5249 - 212530_at (numeric)],\n 5250: [5250 - 212531_at (numeric)],\n 5251: [5251 - 212532_s_at (numeric)],\n 5252: [5252 - 212533_at (numeric)],\n 5253: [5253 - 212534_at (numeric)],\n 5254: [5254 - 212535_at (numeric)],\n 5255: [5255 - 212536_at (numeric)],\n 5256: [5256 - 212537_x_at (numeric)],\n 5257: [5257 - 212538_at (numeric)],\n 5258: [5258 - 212539_at (numeric)],\n 5259: [5259 - 212541_at (numeric)],\n 5260: [5260 - 212542_s_at (numeric)],\n 5261: [5261 - 212543_at (numeric)],\n 5262: [5262 - 212546_s_at (numeric)],\n 5263: [5263 - 212548_s_at (numeric)],\n 5264: [5264 - 212551_at (numeric)],\n 5265: [5265 - 212552_at (numeric)],\n 5266: [5266 - 212553_at (numeric)],\n 5267: [5267 - 212554_at (numeric)],\n 5268: [5268 - 212556_at (numeric)],\n 5269: [5269 - 212558_at (numeric)],\n 5270: [5270 - 212560_at (numeric)],\n 5271: [5271 - 212561_at (numeric)],\n 5272: [5272 - 212566_at (numeric)],\n 5273: [5273 - 212570_at (numeric)],\n 5274: [5274 - 212571_at (numeric)],\n 5275: [5275 - 212572_at (numeric)],\n 5276: [5276 - 212573_at (numeric)],\n 5277: [5277 - 212578_x_at (numeric)],\n 5278: [5278 - 212581_x_at (numeric)],\n 5279: [5279 - 212582_at (numeric)],\n 5280: [5280 - 212585_at (numeric)],\n 5281: [5281 - 212586_at (numeric)],\n 5282: [5282 - 212587_s_at (numeric)],\n 5283: [5283 - 212588_at (numeric)],\n 5284: [5284 - 212589_at (numeric)],\n 5285: [5285 - 212591_at (numeric)],\n 5286: [5286 - 212592_at (numeric)],\n 5287: [5287 - 212593_s_at (numeric)],\n 5288: [5288 - 212594_at (numeric)],\n 5289: [5289 - 212595_s_at (numeric)],\n 5290: [5290 - 212596_s_at (numeric)],\n 5291: [5291 - 212599_at (numeric)],\n 5292: [5292 - 212600_s_at (numeric)],\n 5293: [5293 - 212607_at (numeric)],\n 5294: [5294 - 212608_s_at (numeric)],\n 5295: [5295 - 212609_s_at (numeric)],\n 5296: [5296 - 212610_at (numeric)],\n 5297: [5297 - 212611_at (numeric)],\n 5298: [5298 - 212612_at (numeric)],\n 5299: [5299 - 212614_at (numeric)],\n 5300: [5300 - 212615_at (numeric)],\n 5301: [5301 - 212616_at (numeric)],\n 5302: [5302 - 212621_at (numeric)],\n 5303: [5303 - 212622_at (numeric)],\n 5304: [5304 - 212623_at (numeric)],\n 5305: [5305 - 212624_s_at (numeric)],\n 5306: [5306 - 212626_x_at (numeric)],\n 5307: [5307 - 212628_at (numeric)],\n 5308: [5308 - 212629_s_at (numeric)],\n 5309: [5309 - 212633_at (numeric)],\n 5310: [5310 - 212634_at (numeric)],\n 5311: [5311 - 212635_at (numeric)],\n 5312: [5312 - 212636_at (numeric)],\n 5313: [5313 - 212638_s_at (numeric)],\n 5314: [5314 - 212639_x_at (numeric)],\n 5315: [5315 - 212640_at (numeric)],\n 5316: [5316 - 212643_at (numeric)],\n 5317: [5317 - 212644_s_at (numeric)],\n 5318: [5318 - 212646_at (numeric)],\n 5319: [5319 - 212647_at (numeric)],\n 5320: [5320 - 212648_at (numeric)],\n 5321: [5321 - 212651_at (numeric)],\n 5322: [5322 - 212652_s_at (numeric)],\n 5323: [5323 - 212653_s_at (numeric)],\n 5324: [5324 - 212654_at (numeric)],\n 5325: [5325 - 212657_s_at (numeric)],\n 5326: [5326 - 212658_at (numeric)],\n 5327: [5327 - 212660_at (numeric)],\n 5328: [5328 - 212661_x_at (numeric)],\n 5329: [5329 - 212665_at (numeric)],\n 5330: [5330 - 212667_at (numeric)],\n 5331: [5331 - 212670_at (numeric)],\n 5332: [5332 - 212671_s_at (numeric)],\n 5333: [5333 - 212673_at (numeric)],\n 5334: [5334 - 212675_s_at (numeric)],\n 5335: [5335 - 212677_s_at (numeric)],\n 5336: [5336 - 212680_x_at (numeric)],\n 5337: [5337 - 212685_s_at (numeric)],\n 5338: [5338 - 212686_at (numeric)],\n 5339: [5339 - 212687_at (numeric)],\n 5340: [5340 - 212688_at (numeric)],\n 5341: [5341 - 212689_s_at (numeric)],\n 5342: [5342 - 212692_s_at (numeric)],\n 5343: [5343 - 212694_s_at (numeric)],\n 5344: [5344 - 212696_s_at (numeric)],\n 5345: [5345 - 212697_at (numeric)],\n 5346: [5346 - 212698_s_at (numeric)],\n 5347: [5347 - 212708_at (numeric)],\n 5348: [5348 - 212713_at (numeric)],\n 5349: [5349 - 212714_at (numeric)],\n 5350: [5350 - 212716_s_at (numeric)],\n 5351: [5351 - 212718_at (numeric)],\n 5352: [5352 - 212721_at (numeric)],\n 5353: [5353 - 212724_at (numeric)],\n 5354: [5354 - 212725_s_at (numeric)],\n 5355: [5355 - 212730_at (numeric)],\n 5356: [5356 - 212731_at (numeric)],\n 5357: [5357 - 212732_at (numeric)],\n 5358: [5358 - 212734_x_at (numeric)],\n 5359: [5359 - 212737_at (numeric)],\n 5360: [5360 - 212739_s_at (numeric)],\n 5361: [5361 - 212741_at (numeric)],\n 5362: [5362 - 212742_at (numeric)],\n 5363: [5363 - 212744_at (numeric)],\n 5364: [5364 - 212745_s_at (numeric)],\n 5365: [5365 - 212746_s_at (numeric)],\n 5366: [5366 - 212747_at (numeric)],\n 5367: [5367 - 212749_s_at (numeric)],\n 5368: [5368 - 212751_at (numeric)],\n 5369: [5369 - 212754_s_at (numeric)],\n 5370: [5370 - 212758_s_at (numeric)],\n 5371: [5371 - 212760_at (numeric)],\n 5372: [5372 - 212761_at (numeric)],\n 5373: [5373 - 212762_s_at (numeric)],\n 5374: [5374 - 212764_at (numeric)],\n 5375: [5375 - 212765_at (numeric)],\n 5376: [5376 - 212768_s_at (numeric)],\n 5377: [5377 - 212771_at (numeric)],\n 5378: [5378 - 212773_s_at (numeric)],\n 5379: [5379 - 212774_at (numeric)],\n 5380: [5380 - 212775_at (numeric)],\n 5381: [5381 - 212776_s_at (numeric)],\n 5382: [5382 - 212779_at (numeric)],\n 5383: [5383 - 212782_x_at (numeric)],\n 5384: [5384 - 212788_x_at (numeric)],\n 5385: [5385 - 212789_at (numeric)],\n 5386: [5386 - 212790_x_at (numeric)],\n 5387: [5387 - 212794_s_at (numeric)],\n 5388: [5388 - 212795_at (numeric)],\n 5389: [5389 - 212798_s_at (numeric)],\n 5390: [5390 - 212799_at (numeric)],\n 5391: [5391 - 212805_at (numeric)],\n 5392: [5392 - 212806_at (numeric)],\n 5393: [5393 - 212807_s_at (numeric)],\n 5394: [5394 - 212810_s_at (numeric)],\n 5395: [5395 - 212811_x_at (numeric)],\n 5396: [5396 - 212812_at (numeric)],\n 5397: [5397 - 212813_at (numeric)],\n 5398: [5398 - 212816_s_at (numeric)],\n 5399: [5399 - 212820_at (numeric)],\n 5400: [5400 - 212824_at (numeric)],\n 5401: [5401 - 212826_s_at (numeric)],\n 5402: [5402 - 212829_at (numeric)],\n 5403: [5403 - 212832_s_at (numeric)],\n 5404: [5404 - 212833_at (numeric)],\n 5405: [5405 - 212842_x_at (numeric)],\n 5406: [5406 - 212843_at (numeric)],\n 5407: [5407 - 212845_at (numeric)],\n 5408: [5408 - 212846_at (numeric)],\n 5409: [5409 - 212848_s_at (numeric)],\n 5410: [5410 - 212850_s_at (numeric)],\n 5411: [5411 - 212852_s_at (numeric)],\n 5412: [5412 - 212854_x_at (numeric)],\n 5413: [5413 - 212855_at (numeric)],\n 5414: [5414 - 212857_x_at (numeric)],\n 5415: [5415 - 212859_x_at (numeric)],\n 5416: [5416 - 212863_x_at (numeric)],\n 5417: [5417 - 212865_s_at (numeric)],\n 5418: [5418 - 212867_at (numeric)],\n 5419: [5419 - 212869_x_at (numeric)],\n 5420: [5420 - 212875_s_at (numeric)],\n 5421: [5421 - 212884_x_at (numeric)],\n 5422: [5422 - 212887_at (numeric)],\n 5423: [5423 - 212888_at (numeric)],\n 5424: [5424 - 212895_s_at (numeric)],\n 5425: [5425 - 212896_at (numeric)],\n 5426: [5426 - 212897_at (numeric)],\n 5427: [5427 - 212899_at (numeric)],\n 5428: [5428 - 212900_at (numeric)],\n 5429: [5429 - 212904_at (numeric)],\n 5430: [5430 - 212907_at (numeric)],\n 5431: [5431 - 212909_at (numeric)],\n 5432: [5432 - 212914_at (numeric)],\n 5433: [5433 - 212915_at (numeric)],\n 5434: [5434 - 212917_x_at (numeric)],\n 5435: [5435 - 212918_at (numeric)],\n 5436: [5436 - 212919_at (numeric)],\n 5437: [5437 - 212922_s_at (numeric)],\n 5438: [5438 - 212923_s_at (numeric)],\n 5439: [5439 - 212925_at (numeric)],\n 5440: [5440 - 212928_at (numeric)],\n 5441: [5441 - 212929_s_at (numeric)],\n 5442: [5442 - 212933_x_at (numeric)],\n 5443: [5443 - 212937_s_at (numeric)],\n 5444: [5444 - 212942_s_at (numeric)],\n 5445: [5445 - 212943_at (numeric)],\n 5446: [5446 - 212944_at (numeric)],\n 5447: [5447 - 212946_at (numeric)],\n 5448: [5448 - 212950_at (numeric)],\n 5449: [5449 - 212951_at (numeric)],\n 5450: [5450 - 212952_at (numeric)],\n 5451: [5451 - 212953_x_at (numeric)],\n 5452: [5452 - 212955_s_at (numeric)],\n 5453: [5453 - 212956_at (numeric)],\n 5454: [5454 - 212958_x_at (numeric)],\n 5455: [5455 - 212959_s_at (numeric)],\n 5456: [5456 - 212960_at (numeric)],\n 5457: [5457 - 212961_x_at (numeric)],\n 5458: [5458 - 212967_x_at (numeric)],\n 5459: [5459 - 212971_at (numeric)],\n 5460: [5460 - 212977_at (numeric)],\n 5461: [5461 - 212981_s_at (numeric)],\n 5462: [5462 - 212982_at (numeric)],\n 5463: [5463 - 212984_at (numeric)],\n 5464: [5464 - 212985_at (numeric)],\n 5465: [5465 - 212987_at (numeric)],\n 5466: [5466 - 212988_x_at (numeric)],\n 5467: [5467 - 212989_at (numeric)],\n 5468: [5468 - 212992_at (numeric)],\n 5469: [5469 - 212993_at (numeric)],\n 5470: [5470 - 212995_x_at (numeric)],\n 5471: [5471 - 212998_x_at (numeric)],\n 5472: [5472 - 212999_x_at (numeric)],\n 5473: [5473 - 213001_at (numeric)],\n 5474: [5474 - 213002_at (numeric)],\n 5475: [5475 - 213004_at (numeric)],\n 5476: [5476 - 213005_s_at (numeric)],\n 5477: [5477 - 213006_at (numeric)],\n 5478: [5478 - 213007_at (numeric)],\n 5479: [5479 - 213009_s_at (numeric)],\n 5480: [5480 - 213011_s_at (numeric)],\n 5481: [5481 - 213015_at (numeric)],\n 5482: [5482 - 213016_at (numeric)],\n 5483: [5483 - 213017_at (numeric)],\n 5484: [5484 - 213022_s_at (numeric)],\n 5485: [5485 - 213025_at (numeric)],\n 5486: [5486 - 213026_at (numeric)],\n 5487: [5487 - 213027_at (numeric)],\n 5488: [5488 - 213029_at (numeric)],\n 5489: [5489 - 213032_at (numeric)],\n 5490: [5490 - 213037_x_at (numeric)],\n 5491: [5491 - 213039_at (numeric)],\n 5492: [5492 - 213041_s_at (numeric)],\n 5493: [5493 - 213043_s_at (numeric)],\n 5494: [5494 - 213044_at (numeric)],\n 5495: [5495 - 213047_x_at (numeric)],\n 5496: [5496 - 213048_s_at (numeric)],\n 5497: [5497 - 213049_at (numeric)],\n 5498: [5498 - 213050_at (numeric)],\n 5499: [5499 - 213051_at (numeric)],\n 5500: [5500 - 213052_at (numeric)],\n 5501: [5501 - 213056_at (numeric)],\n 5502: [5502 - 213058_at (numeric)],\n 5503: [5503 - 213059_at (numeric)],\n 5504: [5504 - 213060_s_at (numeric)],\n 5505: [5505 - 213061_s_at (numeric)],\n 5506: [5506 - 213062_at (numeric)],\n 5507: [5507 - 213064_at (numeric)],\n 5508: [5508 - 213068_at (numeric)],\n 5509: [5509 - 213069_at (numeric)],\n 5510: [5510 - 213070_at (numeric)],\n 5511: [5511 - 213071_at (numeric)],\n 5512: [5512 - 213074_at (numeric)],\n 5513: [5513 - 213075_at (numeric)],\n 5514: [5514 - 213077_at (numeric)],\n 5515: [5515 - 213080_x_at (numeric)],\n 5516: [5516 - 213084_x_at (numeric)],\n 5517: [5517 - 213085_s_at (numeric)],\n 5518: [5518 - 213086_s_at (numeric)],\n 5519: [5519 - 213088_s_at (numeric)],\n 5520: [5520 - 213089_at (numeric)],\n 5521: [5521 - 213093_at (numeric)],\n 5522: [5522 - 213095_x_at (numeric)],\n 5523: [5523 - 213097_s_at (numeric)],\n 5524: [5524 - 213101_s_at (numeric)],\n 5525: [5525 - 213102_at (numeric)],\n 5526: [5526 - 213106_at (numeric)],\n 5527: [5527 - 213110_s_at (numeric)],\n 5528: [5528 - 213111_at (numeric)],\n 5529: [5529 - 213113_s_at (numeric)],\n 5530: [5530 - 213119_at (numeric)],\n 5531: [5531 - 213122_at (numeric)],\n 5532: [5532 - 213125_at (numeric)],\n 5533: [5533 - 213129_s_at (numeric)],\n 5534: [5534 - 213131_at (numeric)],\n 5535: [5535 - 213133_s_at (numeric)],\n 5536: [5536 - 213134_x_at (numeric)],\n 5537: [5537 - 213135_at (numeric)],\n 5538: [5538 - 213136_at (numeric)],\n 5539: [5539 - 213139_at (numeric)],\n 5540: [5540 - 213142_x_at (numeric)],\n 5541: [5541 - 213150_at (numeric)],\n 5542: [5542 - 213151_s_at (numeric)],\n 5543: [5543 - 213153_at (numeric)],\n 5544: [5544 - 213156_at (numeric)],\n 5545: [5545 - 213158_at (numeric)],\n 5546: [5546 - 213164_at (numeric)],\n 5547: [5547 - 213165_at (numeric)],\n 5548: [5548 - 213166_x_at (numeric)],\n 5549: [5549 - 213168_at (numeric)],\n 5550: [5550 - 213175_s_at (numeric)],\n 5551: [5551 - 213182_x_at (numeric)],\n 5552: [5552 - 213186_at (numeric)],\n 5553: [5553 - 213187_x_at (numeric)],\n 5554: [5554 - 213188_s_at (numeric)],\n 5555: [5555 - 213193_x_at (numeric)],\n 5556: [5556 - 213194_at (numeric)],\n 5557: [5557 - 213198_at (numeric)],\n 5558: [5558 - 213201_s_at (numeric)],\n 5559: [5559 - 213212_x_at (numeric)],\n 5560: [5560 - 213214_x_at (numeric)],\n 5561: [5561 - 213217_at (numeric)],\n 5562: [5562 - 213220_at (numeric)],\n 5563: [5563 - 213222_at (numeric)],\n 5564: [5564 - 213224_s_at (numeric)],\n 5565: [5565 - 213225_at (numeric)],\n 5566: [5566 - 213226_at (numeric)],\n 5567: [5567 - 213227_at (numeric)],\n 5568: [5568 - 213228_at (numeric)],\n 5569: [5569 - 213229_at (numeric)],\n 5570: [5570 - 213233_s_at (numeric)],\n 5571: [5571 - 213234_at (numeric)],\n 5572: [5572 - 213236_at (numeric)],\n 5573: [5573 - 213240_s_at (numeric)],\n 5574: [5574 - 213241_at (numeric)],\n 5575: [5575 - 213243_at (numeric)],\n 5576: [5576 - 213246_at (numeric)],\n 5577: [5577 - 213249_at (numeric)],\n 5578: [5578 - 213251_at (numeric)],\n 5579: [5579 - 213258_at (numeric)],\n 5580: [5580 - 213260_at (numeric)],\n 5581: [5581 - 213262_at (numeric)],\n 5582: [5582 - 213274_s_at (numeric)],\n 5583: [5583 - 213275_x_at (numeric)],\n 5584: [5584 - 213281_at (numeric)],\n 5585: [5585 - 213283_s_at (numeric)],\n 5586: [5586 - 213285_at (numeric)],\n 5587: [5587 - 213287_s_at (numeric)],\n 5588: [5588 - 213288_at (numeric)],\n 5589: [5589 - 213290_at (numeric)],\n 5590: [5590 - 213293_s_at (numeric)],\n 5591: [5591 - 213294_at (numeric)],\n 5592: [5592 - 213306_at (numeric)],\n 5593: [5593 - 213308_at (numeric)],\n 5594: [5594 - 213311_s_at (numeric)],\n 5595: [5595 - 213313_at (numeric)],\n 5596: [5596 - 213315_x_at (numeric)],\n 5597: [5597 - 213317_at (numeric)],\n 5598: [5598 - 213318_s_at (numeric)],\n 5599: [5599 - 213325_at (numeric)],\n 5600: [5600 - 213330_s_at (numeric)],\n 5601: [5601 - 213331_s_at (numeric)],\n 5602: [5602 - 213338_at (numeric)],\n 5603: [5603 - 213347_x_at (numeric)],\n 5604: [5604 - 213348_at (numeric)],\n 5605: [5605 - 213350_at (numeric)],\n 5606: [5606 - 213353_at (numeric)],\n 5607: [5607 - 213356_x_at (numeric)],\n 5608: [5608 - 213357_at (numeric)],\n 5609: [5609 - 213358_at (numeric)],\n 5610: [5610 - 213359_at (numeric)],\n 5611: [5611 - 213360_s_at (numeric)],\n 5612: [5612 - 213362_at (numeric)],\n 5613: [5613 - 213364_s_at (numeric)],\n 5614: [5614 - 213366_x_at (numeric)],\n 5615: [5615 - 213371_at (numeric)],\n 5616: [5616 - 213373_s_at (numeric)],\n 5617: [5617 - 213374_x_at (numeric)],\n 5618: [5618 - 213375_s_at (numeric)],\n 5619: [5619 - 213376_at (numeric)],\n 5620: [5620 - 213377_x_at (numeric)],\n 5621: [5621 - 213385_at (numeric)],\n 5622: [5622 - 213392_at (numeric)],\n 5623: [5623 - 213397_x_at (numeric)],\n 5624: [5624 - 213398_s_at (numeric)],\n 5625: [5625 - 213399_x_at (numeric)],\n 5626: [5626 - 213400_s_at (numeric)],\n 5627: [5627 - 213404_s_at (numeric)],\n 5628: [5628 - 213408_s_at (numeric)],\n 5629: [5629 - 213410_at (numeric)],\n 5630: [5630 - 213413_at (numeric)],\n 5631: [5631 - 213414_s_at (numeric)],\n 5632: [5632 - 213418_at (numeric)],\n 5633: [5633 - 213422_s_at (numeric)],\n 5634: [5634 - 213423_x_at (numeric)],\n 5635: [5635 - 213425_at (numeric)],\n 5636: [5636 - 213427_at (numeric)],\n 5637: [5637 - 213428_s_at (numeric)],\n 5638: [5638 - 213432_at (numeric)],\n 5639: [5639 - 213441_x_at (numeric)],\n 5640: [5640 - 213447_at (numeric)],\n 5641: [5641 - 213451_x_at (numeric)],\n 5642: [5642 - 213453_x_at (numeric)],\n 5643: [5643 - 213455_at (numeric)],\n 5644: [5644 - 213456_at (numeric)],\n 5645: [5645 - 213457_at (numeric)],\n 5646: [5646 - 213460_x_at (numeric)],\n 5647: [5647 - 213465_s_at (numeric)],\n 5648: [5648 - 213476_x_at (numeric)],\n 5649: [5649 - 213477_x_at (numeric)],\n 5650: [5650 - 213478_at (numeric)],\n 5651: [5651 - 213479_at (numeric)],\n 5652: [5652 - 213486_at (numeric)],\n 5653: [5653 - 213491_x_at (numeric)],\n 5654: [5654 - 213492_at (numeric)],\n 5655: [5655 - 213502_x_at (numeric)],\n 5656: [5656 - 213503_x_at (numeric)],\n 5657: [5657 - 213506_at (numeric)],\n 5658: [5658 - 213507_s_at (numeric)],\n 5659: [5659 - 213508_at (numeric)],\n 5660: [5660 - 213510_x_at (numeric)],\n 5661: [5661 - 213511_s_at (numeric)],\n 5662: [5662 - 213513_x_at (numeric)],\n 5663: [5663 - 213517_at (numeric)],\n 5664: [5664 - 213518_at (numeric)],\n 5665: [5665 - 213519_s_at (numeric)],\n 5666: [5666 - 213523_at (numeric)],\n 5667: [5667 - 213524_s_at (numeric)],\n 5668: [5668 - 213531_s_at (numeric)],\n 5669: [5669 - 213532_at (numeric)],\n 5670: [5670 - 213535_s_at (numeric)],\n 5671: [5671 - 213537_at (numeric)],\n 5672: [5672 - 213539_at (numeric)],\n 5673: [5673 - 213541_s_at (numeric)],\n 5674: [5674 - 213545_x_at (numeric)],\n 5675: [5675 - 213546_at (numeric)],\n 5676: [5676 - 213549_at (numeric)],\n 5677: [5677 - 213552_at (numeric)],\n 5678: [5678 - 213553_x_at (numeric)],\n 5679: [5679 - 213555_at (numeric)],\n 5680: [5680 - 213557_at (numeric)],\n 5681: [5681 - 213564_x_at (numeric)],\n 5682: [5682 - 213566_at (numeric)],\n 5683: [5683 - 213568_at (numeric)],\n 5684: [5684 - 213571_s_at (numeric)],\n 5685: [5685 - 213572_s_at (numeric)],\n 5686: [5686 - 213574_s_at (numeric)],\n 5687: [5687 - 213577_at (numeric)],\n 5688: [5688 - 213578_at (numeric)],\n 5689: [5689 - 213583_x_at (numeric)],\n 5690: [5690 - 213587_s_at (numeric)],\n 5691: [5691 - 213588_x_at (numeric)],\n 5692: [5692 - 213593_s_at (numeric)],\n 5693: [5693 - 213594_x_at (numeric)],\n 5694: [5694 - 213603_s_at (numeric)],\n 5695: [5695 - 213605_s_at (numeric)],\n 5696: [5696 - 213610_s_at (numeric)],\n 5697: [5697 - 213612_x_at (numeric)],\n 5698: [5698 - 213614_x_at (numeric)],\n 5699: [5699 - 213617_s_at (numeric)],\n 5700: [5700 - 213619_at (numeric)],\n 5701: [5701 - 213620_s_at (numeric)],\n 5702: [5702 - 213622_at (numeric)],\n 5703: [5703 - 213624_at (numeric)],\n 5704: [5704 - 213626_at (numeric)],\n 5705: [5705 - 213627_at (numeric)],\n 5706: [5706 - 213629_x_at (numeric)],\n 5707: [5707 - 213637_at (numeric)],\n 5708: [5708 - 213642_at (numeric)],\n 5709: [5709 - 213645_at (numeric)],\n 5710: [5710 - 213646_x_at (numeric)],\n 5711: [5711 - 213649_at (numeric)],\n 5712: [5712 - 213655_at (numeric)],\n 5713: [5713 - 213656_s_at (numeric)],\n 5714: [5714 - 213661_at (numeric)],\n 5715: [5715 - 213664_at (numeric)],\n 5716: [5716 - 213668_s_at (numeric)],\n 5717: [5717 - 213670_x_at (numeric)],\n 5718: [5718 - 213671_s_at (numeric)],\n 5719: [5719 - 213674_x_at (numeric)],\n 5720: [5720 - 213675_at (numeric)],\n 5721: [5721 - 213677_s_at (numeric)],\n 5722: [5722 - 213680_at (numeric)],\n 5723: [5723 - 213682_at (numeric)],\n 5724: [5724 - 213684_s_at (numeric)],\n 5725: [5725 - 213687_s_at (numeric)],\n 5726: [5726 - 213689_x_at (numeric)],\n 5727: [5727 - 213693_s_at (numeric)],\n 5728: [5728 - 213698_at (numeric)],\n 5729: [5729 - 213699_s_at (numeric)],\n 5730: [5730 - 213701_at (numeric)],\n 5731: [5731 - 213702_x_at (numeric)],\n 5732: [5732 - 213707_s_at (numeric)],\n 5733: [5733 - 213711_at (numeric)],\n 5734: [5734 - 213713_s_at (numeric)],\n 5735: [5735 - 213720_s_at (numeric)],\n 5736: [5736 - 213725_x_at (numeric)],\n 5737: [5737 - 213726_x_at (numeric)],\n 5738: [5738 - 213729_at (numeric)],\n 5739: [5739 - 213734_at (numeric)],\n 5740: [5740 - 213735_s_at (numeric)],\n 5741: [5741 - 213737_x_at (numeric)],\n 5742: [5742 - 213738_s_at (numeric)],\n 5743: [5743 - 213742_at (numeric)],\n 5744: [5744 - 213746_s_at (numeric)],\n 5745: [5745 - 213747_at (numeric)],\n 5746: [5746 - 213753_x_at (numeric)],\n 5747: [5747 - 213754_s_at (numeric)],\n 5748: [5748 - 213757_at (numeric)],\n 5749: [5749 - 213761_at (numeric)],\n 5750: [5750 - 213762_x_at (numeric)],\n 5751: [5751 - 213764_s_at (numeric)],\n 5752: [5752 - 213765_at (numeric)],\n 5753: [5753 - 213766_x_at (numeric)],\n 5754: [5754 - 213773_x_at (numeric)],\n 5755: [5755 - 213775_x_at (numeric)],\n 5756: [5756 - 213779_at (numeric)],\n 5757: [5757 - 213782_s_at (numeric)],\n 5758: [5758 - 213787_s_at (numeric)],\n 5759: [5759 - 213789_at (numeric)],\n 5760: [5760 - 213790_at (numeric)],\n 5761: [5761 - 213791_at (numeric)],\n 5762: [5762 - 213792_s_at (numeric)],\n 5763: [5763 - 213793_s_at (numeric)],\n 5764: [5764 - 213794_s_at (numeric)],\n 5765: [5765 - 213796_at (numeric)],\n 5766: [5766 - 213797_at (numeric)],\n 5767: [5767 - 213798_s_at (numeric)],\n 5768: [5768 - 213800_at (numeric)],\n 5769: [5769 - 213801_x_at (numeric)],\n 5770: [5770 - 213803_at (numeric)],\n 5771: [5771 - 213811_x_at (numeric)],\n 5772: [5772 - 213812_s_at (numeric)],\n 5773: [5773 - 213823_at (numeric)],\n 5774: [5774 - 213826_s_at (numeric)],\n 5775: [5775 - 213828_x_at (numeric)],\n 5776: [5776 - 213830_at (numeric)],\n 5777: [5777 - 213831_at (numeric)],\n 5778: [5778 - 213832_at (numeric)],\n 5779: [5779 - 213836_s_at (numeric)],\n 5780: [5780 - 213842_x_at (numeric)],\n 5781: [5781 - 213843_x_at (numeric)],\n 5782: [5782 - 213844_at (numeric)],\n 5783: [5783 - 213846_at (numeric)],\n 5784: [5784 - 213847_at (numeric)],\n 5785: [5785 - 213850_s_at (numeric)],\n 5786: [5786 - 213852_at (numeric)],\n 5787: [5787 - 213857_s_at (numeric)],\n 5788: [5788 - 213860_x_at (numeric)],\n 5789: [5789 - 213864_s_at (numeric)],\n 5790: [5790 - 213867_x_at (numeric)],\n 5791: [5791 - 213869_x_at (numeric)],\n 5792: [5792 - 213872_at (numeric)],\n 5793: [5793 - 213878_at (numeric)],\n 5794: [5794 - 213879_at (numeric)],\n 5795: [5795 - 213880_at (numeric)],\n 5796: [5796 - 213881_x_at (numeric)],\n 5797: [5797 - 213883_s_at (numeric)],\n 5798: [5798 - 213887_s_at (numeric)],\n 5799: [5799 - 213890_x_at (numeric)],\n 5800: [5800 - 213891_s_at (numeric)],\n 5801: [5801 - 213892_s_at (numeric)],\n 5802: [5802 - 213894_at (numeric)],\n 5803: [5803 - 213897_s_at (numeric)],\n 5804: [5804 - 213900_at (numeric)],\n 5805: [5805 - 213901_x_at (numeric)],\n 5806: [5806 - 213902_at (numeric)],\n 5807: [5807 - 213905_x_at (numeric)],\n 5808: [5808 - 213909_at (numeric)],\n 5809: [5809 - 213911_s_at (numeric)],\n 5810: [5810 - 213917_at (numeric)],\n 5811: [5811 - 213918_s_at (numeric)],\n 5812: [5812 - 213920_at (numeric)],\n 5813: [5813 - 213921_at (numeric)],\n 5814: [5814 - 213923_at (numeric)],\n 5815: [5815 - 213924_at (numeric)],\n 5816: [5816 - 213931_at (numeric)],\n 5817: [5817 - 213932_x_at (numeric)],\n 5818: [5818 - 213933_at (numeric)],\n 5819: [5819 - 213939_s_at (numeric)],\n 5820: [5820 - 213940_s_at (numeric)],\n 5821: [5821 - 213941_x_at (numeric)],\n 5822: [5822 - 213943_at (numeric)],\n 5823: [5823 - 213969_x_at (numeric)],\n 5824: [5824 - 213971_s_at (numeric)],\n 5825: [5825 - 213975_s_at (numeric)],\n 5826: [5826 - 213979_s_at (numeric)],\n 5827: [5827 - 213980_s_at (numeric)],\n 5828: [5828 - 213988_s_at (numeric)],\n 5829: [5829 - 213992_at (numeric)],\n 5830: [5830 - 213993_at (numeric)],\n 5831: [5831 - 213994_s_at (numeric)],\n 5832: [5832 - 213998_s_at (numeric)],\n 5833: [5833 - 214001_x_at (numeric)],\n 5834: [5834 - 214003_x_at (numeric)],\n 5835: [5835 - 214004_s_at (numeric)],\n 5836: [5836 - 214007_s_at (numeric)],\n 5837: [5837 - 214011_s_at (numeric)],\n 5838: [5838 - 214016_s_at (numeric)],\n 5839: [5839 - 214020_x_at (numeric)],\n 5840: [5840 - 214022_s_at (numeric)],\n 5841: [5841 - 214023_x_at (numeric)],\n 5842: [5842 - 214027_x_at (numeric)],\n 5843: [5843 - 214035_x_at (numeric)],\n 5844: [5844 - 214038_at (numeric)],\n 5845: [5845 - 214039_s_at (numeric)],\n 5846: [5846 - 214041_x_at (numeric)],\n 5847: [5847 - 214042_s_at (numeric)],\n 5848: [5848 - 214043_at (numeric)],\n 5849: [5849 - 214047_s_at (numeric)],\n 5850: [5850 - 214051_at (numeric)],\n 5851: [5851 - 214053_at (numeric)],\n 5852: [5852 - 214055_x_at (numeric)],\n 5853: [5853 - 214063_s_at (numeric)],\n 5854: [5854 - 214071_at (numeric)],\n 5855: [5855 - 214079_at (numeric)],\n 5856: [5856 - 214080_x_at (numeric)],\n 5857: [5857 - 214085_x_at (numeric)],\n 5858: [5858 - 214086_s_at (numeric)],\n 5859: [5859 - 214087_s_at (numeric)],\n 5860: [5860 - 214091_s_at (numeric)],\n 5861: [5861 - 214093_s_at (numeric)],\n 5862: [5862 - 214096_s_at (numeric)],\n 5863: [5863 - 214097_at (numeric)],\n 5864: [5864 - 214100_x_at (numeric)],\n 5865: [5865 - 214104_at (numeric)],\n 5866: [5866 - 214106_s_at (numeric)],\n 5867: [5867 - 214107_x_at (numeric)],\n 5868: [5868 - 214109_at (numeric)],\n 5869: [5869 - 214110_s_at (numeric)],\n 5870: [5870 - 214112_s_at (numeric)],\n 5871: [5871 - 214113_s_at (numeric)],\n 5872: [5872 - 214118_x_at (numeric)],\n 5873: [5873 - 214119_s_at (numeric)],\n 5874: [5874 - 214129_at (numeric)],\n 5875: [5875 - 214131_at (numeric)],\n 5876: [5876 - 214141_x_at (numeric)],\n 5877: [5877 - 214143_x_at (numeric)],\n 5878: [5878 - 214146_s_at (numeric)],\n 5879: [5879 - 214149_s_at (numeric)],\n 5880: [5880 - 214150_x_at (numeric)],\n 5881: [5881 - 214164_x_at (numeric)],\n 5882: [5882 - 214167_s_at (numeric)],\n 5883: [5883 - 214170_x_at (numeric)],\n 5884: [5884 - 214173_x_at (numeric)],\n 5885: [5885 - 214175_x_at (numeric)],\n 5886: [5886 - 214177_s_at (numeric)],\n 5887: [5887 - 214179_s_at (numeric)],\n 5888: [5888 - 214182_at (numeric)],\n 5889: [5889 - 214183_s_at (numeric)],\n 5890: [5890 - 214198_s_at (numeric)],\n 5891: [5891 - 214205_x_at (numeric)],\n 5892: [5892 - 214211_at (numeric)],\n 5893: [5893 - 214212_x_at (numeric)],\n 5894: [5894 - 214214_s_at (numeric)],\n 5895: [5895 - 214218_s_at (numeric)],\n 5896: [5896 - 214224_s_at (numeric)],\n 5897: [5897 - 214234_s_at (numeric)],\n 5898: [5898 - 214235_at (numeric)],\n 5899: [5899 - 214236_at (numeric)],\n 5900: [5900 - 214239_x_at (numeric)],\n 5901: [5901 - 214243_s_at (numeric)],\n 5902: [5902 - 214246_x_at (numeric)],\n 5903: [5903 - 214247_s_at (numeric)],\n 5904: [5904 - 214254_at (numeric)],\n 5905: [5905 - 214257_s_at (numeric)],\n 5906: [5906 - 214259_s_at (numeric)],\n 5907: [5907 - 214265_at (numeric)],\n 5908: [5908 - 214271_x_at (numeric)],\n 5909: [5909 - 214274_s_at (numeric)],\n 5910: [5910 - 214279_s_at (numeric)],\n 5911: [5911 - 214280_x_at (numeric)],\n 5912: [5912 - 214288_s_at (numeric)],\n 5913: [5913 - 214290_s_at (numeric)],\n 5914: [5914 - 214295_at (numeric)],\n 5915: [5915 - 214305_s_at (numeric)],\n 5916: [5916 - 214308_s_at (numeric)],\n 5917: [5917 - 214315_x_at (numeric)],\n 5918: [5918 - 214316_x_at (numeric)],\n 5919: [5919 - 214317_x_at (numeric)],\n 5920: [5920 - 214321_at (numeric)],\n 5921: [5921 - 214323_s_at (numeric)],\n 5922: [5922 - 214327_x_at (numeric)],\n 5923: [5923 - 214328_s_at (numeric)],\n 5924: [5924 - 214329_x_at (numeric)],\n 5925: [5925 - 214334_x_at (numeric)],\n 5926: [5926 - 214336_s_at (numeric)],\n 5927: [5927 - 214351_x_at (numeric)],\n 5928: [5928 - 214352_s_at (numeric)],\n 5929: [5929 - 214355_x_at (numeric)],\n 5930: [5930 - 214356_s_at (numeric)],\n 5931: [5931 - 214357_at (numeric)],\n 5932: [5932 - 214359_s_at (numeric)],\n 5933: [5933 - 214363_s_at (numeric)],\n 5934: [5934 - 214365_at (numeric)],\n 5935: [5935 - 214373_at (numeric)],\n 5936: [5936 - 214383_x_at (numeric)],\n 5937: [5937 - 214390_s_at (numeric)],\n 5938: [5938 - 214394_x_at (numeric)],\n 5939: [5939 - 214404_x_at (numeric)],\n 5940: [5940 - 214414_x_at (numeric)],\n 5941: [5941 - 214428_x_at (numeric)],\n 5942: [5942 - 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5993: [5993 - 214677_x_at (numeric)],\n 5994: [5994 - 214683_s_at (numeric)],\n 5995: [5995 - 214686_at (numeric)],\n 5996: [5996 - 214687_x_at (numeric)],\n 5997: [5997 - 214693_x_at (numeric)],\n 5998: [5998 - 214696_at (numeric)],\n 5999: [5999 - 214701_s_at (numeric)],\n 6000: [6000 - 214707_x_at (numeric)],\n 6001: [6001 - 214709_s_at (numeric)],\n 6002: [6002 - 214710_s_at (numeric)],\n 6003: [6003 - 214715_x_at (numeric)],\n 6004: [6004 - 214718_at (numeric)],\n 6005: [6005 - 214721_x_at (numeric)],\n 6006: [6006 - 214722_at (numeric)],\n 6007: [6007 - 214724_at (numeric)],\n 6008: [6008 - 214728_x_at (numeric)],\n 6009: [6009 - 214730_s_at (numeric)],\n 6010: [6010 - 214733_s_at (numeric)],\n 6011: [6011 - 214734_at (numeric)],\n 6012: [6012 - 214736_s_at (numeric)],\n 6013: [6013 - 214737_x_at (numeric)],\n 6014: [6014 - 214743_at (numeric)],\n 6015: [6015 - 214749_s_at (numeric)],\n 6016: [6016 - 214752_x_at (numeric)],\n 6017: [6017 - 214753_at (numeric)],\n 6018: [6018 - 214761_at (numeric)],\n 6019: [6019 - 214765_s_at (numeric)],\n 6020: [6020 - 214768_x_at (numeric)],\n 6021: [6021 - 214771_x_at (numeric)],\n 6022: [6022 - 214773_x_at (numeric)],\n 6023: [6023 - 214774_x_at (numeric)],\n 6024: [6024 - 214777_at (numeric)],\n 6025: [6025 - 214784_x_at (numeric)],\n 6026: [6026 - 214789_x_at (numeric)],\n 6027: [6027 - 214800_x_at (numeric)],\n 6028: [6028 - 214803_at (numeric)],\n 6029: [6029 - 214805_at (numeric)],\n 6030: [6030 - 214806_at (numeric)],\n 6031: [6031 - 214812_s_at (numeric)],\n 6032: [6032 - 214835_s_at (numeric)],\n 6033: [6033 - 214836_x_at (numeric)],\n 6034: [6034 - 214843_s_at (numeric)],\n 6035: [6035 - 214844_s_at (numeric)],\n 6036: [6036 - 214845_s_at (numeric)],\n 6037: [6037 - 214853_s_at (numeric)],\n 6038: [6038 - 214858_at (numeric)],\n 6039: [6039 - 214864_s_at (numeric)],\n 6040: [6040 - 214870_x_at (numeric)],\n 6041: [6041 - 214875_x_at (numeric)],\n 6042: [6042 - 214882_s_at (numeric)],\n 6043: [6043 - 214889_at 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(numeric)],\n 6244: [6244 - 216491_x_at (numeric)],\n 6245: [6245 - 216505_x_at (numeric)],\n 6246: [6246 - 216508_x_at (numeric)],\n 6247: [6247 - 216510_x_at (numeric)],\n 6248: [6248 - 216511_s_at (numeric)],\n 6249: [6249 - 216515_x_at (numeric)],\n 6250: [6250 - 216520_s_at (numeric)],\n 6251: [6251 - 216524_x_at (numeric)],\n 6252: [6252 - 216525_x_at (numeric)],\n 6253: [6253 - 216526_x_at (numeric)],\n 6254: [6254 - 216542_x_at (numeric)],\n 6255: [6255 - 216557_x_at (numeric)],\n 6256: [6256 - 216559_x_at (numeric)],\n 6257: [6257 - 216560_x_at (numeric)],\n 6258: [6258 - 216565_x_at (numeric)],\n 6259: [6259 - 216570_x_at (numeric)],\n 6260: [6260 - 216576_x_at (numeric)],\n 6261: [6261 - 216591_s_at (numeric)],\n 6262: [6262 - 216594_x_at (numeric)],\n 6263: [6263 - 216598_s_at (numeric)],\n 6264: [6264 - 216604_s_at (numeric)],\n 6265: [6265 - 216623_x_at (numeric)],\n 6266: [6266 - 216640_s_at (numeric)],\n 6267: [6267 - 216641_s_at (numeric)],\n 6268: [6268 - 216663_s_at 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(numeric)],\n 6294: [6294 - 217047_s_at (numeric)],\n 6295: [6295 - 217052_x_at (numeric)],\n 6296: [6296 - 217057_s_at (numeric)],\n 6297: [6297 - 217077_s_at (numeric)],\n 6298: [6298 - 217080_s_at (numeric)],\n 6299: [6299 - 217092_x_at (numeric)],\n 6300: [6300 - 217106_x_at (numeric)],\n 6301: [6301 - 217109_at (numeric)],\n 6302: [6302 - 217110_s_at (numeric)],\n 6303: [6303 - 217122_s_at (numeric)],\n 6304: [6304 - 217140_s_at (numeric)],\n 6305: [6305 - 217143_s_at (numeric)],\n 6306: [6306 - 217144_at (numeric)],\n 6307: [6307 - 217148_x_at (numeric)],\n 6308: [6308 - 217157_x_at (numeric)],\n 6309: [6309 - 217165_x_at (numeric)],\n 6310: [6310 - 217168_s_at (numeric)],\n 6311: [6311 - 217179_x_at (numeric)],\n 6312: [6312 - 217200_x_at (numeric)],\n 6313: [6313 - 217202_s_at (numeric)],\n 6314: [6314 - 217225_x_at (numeric)],\n 6315: [6315 - 217227_x_at (numeric)],\n 6316: [6316 - 217232_x_at (numeric)],\n 6317: [6317 - 217234_s_at (numeric)],\n 6318: [6318 - 217235_x_at (numeric)],\n 6319: [6319 - 217249_x_at (numeric)],\n 6320: [6320 - 217256_x_at (numeric)],\n 6321: [6321 - 217258_x_at (numeric)],\n 6322: [6322 - 217266_at (numeric)],\n 6323: [6323 - 217272_s_at (numeric)],\n 6324: [6324 - 217274_x_at (numeric)],\n 6325: [6325 - 217276_x_at (numeric)],\n 6326: [6326 - 217281_x_at (numeric)],\n 6327: [6327 - 217284_x_at (numeric)],\n 6328: [6328 - 217286_s_at (numeric)],\n 6329: [6329 - 217294_s_at (numeric)],\n 6330: [6330 - 217301_x_at (numeric)],\n 6331: [6331 - 217317_s_at (numeric)],\n 6332: [6332 - 217329_x_at (numeric)],\n 6333: [6333 - 217356_s_at (numeric)],\n 6334: [6334 - 217362_x_at (numeric)],\n 6335: [6335 - 217370_x_at (numeric)],\n 6336: [6336 - 217378_x_at (numeric)],\n 6337: [6337 - 217379_at (numeric)],\n 6338: [6338 - 217388_s_at (numeric)],\n 6339: [6339 - 217398_x_at (numeric)],\n 6340: [6340 - 217404_s_at (numeric)],\n 6341: [6341 - 217408_at (numeric)],\n 6342: [6342 - 217414_x_at (numeric)],\n 6343: [6343 - 217419_x_at (numeric)],\n 6344: [6344 - 217427_s_at (numeric)],\n 6345: [6345 - 217428_s_at (numeric)],\n 6346: [6346 - 217430_x_at (numeric)],\n 6347: [6347 - 217436_x_at (numeric)],\n 6348: [6348 - 217437_s_at (numeric)],\n 6349: [6349 - 217456_x_at (numeric)],\n 6350: [6350 - 217466_x_at (numeric)],\n 6351: [6351 - 217478_s_at (numeric)],\n 6352: [6352 - 217480_x_at (numeric)],\n 6353: [6353 - 217483_at (numeric)],\n 6354: [6354 - 217487_x_at (numeric)],\n 6355: [6355 - 217491_x_at (numeric)],\n 6356: [6356 - 217492_s_at (numeric)],\n 6357: [6357 - 217495_x_at (numeric)],\n 6358: [6358 - 217499_x_at (numeric)],\n 6359: [6359 - 217506_at (numeric)],\n 6360: [6360 - 217523_at (numeric)],\n 6361: [6361 - 217526_at (numeric)],\n 6362: [6362 - 217527_s_at (numeric)],\n 6363: [6363 - 217528_at (numeric)],\n 6364: [6364 - 217546_at (numeric)],\n 6365: [6365 - 217561_at (numeric)],\n 6366: [6366 - 217566_s_at (numeric)],\n 6367: [6367 - 217567_at (numeric)],\n 6368: [6368 - 217579_x_at (numeric)],\n 6369: [6369 - 217586_x_at (numeric)],\n 6370: [6370 - 217591_at (numeric)],\n 6371: [6371 - 217617_at (numeric)],\n 6372: [6372 - 217626_at (numeric)],\n 6373: [6373 - 217653_x_at (numeric)],\n 6374: [6374 - 217671_at (numeric)],\n 6375: [6375 - 217673_x_at (numeric)],\n 6376: [6376 - 217678_at (numeric)],\n 6377: [6377 - 217679_x_at (numeric)],\n 6378: [6378 - 217703_x_at (numeric)],\n 6379: [6379 - 217704_x_at (numeric)],\n 6380: [6380 - 217707_x_at (numeric)],\n 6381: [6381 - 217713_x_at (numeric)],\n 6382: [6382 - 217715_x_at (numeric)],\n 6383: [6383 - 217716_s_at (numeric)],\n 6384: [6384 - 217717_s_at (numeric)],\n 6385: [6385 - 217718_s_at (numeric)],\n 6386: [6386 - 217719_at (numeric)],\n 6387: [6387 - 217720_at (numeric)],\n 6388: [6388 - 217722_s_at (numeric)],\n 6389: [6389 - 217724_at (numeric)],\n 6390: [6390 - 217725_x_at (numeric)],\n 6391: [6391 - 217726_at (numeric)],\n 6392: [6392 - 217727_x_at (numeric)],\n 6393: [6393 - 217728_at (numeric)],\n 6394: [6394 - 217729_s_at (numeric)],\n 6395: [6395 - 217730_at (numeric)],\n 6396: [6396 - 217731_s_at (numeric)],\n 6397: [6397 - 217732_s_at (numeric)],\n 6398: [6398 - 217733_s_at (numeric)],\n 6399: [6399 - 217734_s_at (numeric)],\n 6400: [6400 - 217736_s_at (numeric)],\n 6401: [6401 - 217737_x_at (numeric)],\n 6402: [6402 - 217738_at (numeric)],\n 6403: [6403 - 217739_s_at (numeric)],\n 6404: [6404 - 217740_x_at (numeric)],\n 6405: [6405 - 217741_s_at (numeric)],\n 6406: [6406 - 217742_s_at (numeric)],\n 6407: [6407 - 217743_s_at (numeric)],\n 6408: [6408 - 217744_s_at (numeric)],\n 6409: [6409 - 217745_s_at (numeric)],\n 6410: [6410 - 217746_s_at (numeric)],\n 6411: [6411 - 217747_s_at (numeric)],\n 6412: [6412 - 217748_at (numeric)],\n 6413: [6413 - 217749_at (numeric)],\n 6414: [6414 - 217750_s_at (numeric)],\n 6415: [6415 - 217751_at (numeric)],\n 6416: [6416 - 217752_s_at (numeric)],\n 6417: [6417 - 217753_s_at (numeric)],\n 6418: [6418 - 217755_at (numeric)],\n 6419: [6419 - 217756_x_at (numeric)],\n 6420: [6420 - 217757_at (numeric)],\n 6421: [6421 - 217758_s_at (numeric)],\n 6422: [6422 - 217759_at (numeric)],\n 6423: [6423 - 217761_at (numeric)],\n 6424: [6424 - 217762_s_at (numeric)],\n 6425: [6425 - 217763_s_at (numeric)],\n 6426: [6426 - 217764_s_at (numeric)],\n 6427: [6427 - 217766_s_at (numeric)],\n 6428: [6428 - 217767_at (numeric)],\n 6429: [6429 - 217768_at (numeric)],\n 6430: [6430 - 217769_s_at (numeric)],\n 6431: [6431 - 217770_at (numeric)],\n 6432: [6432 - 217771_at (numeric)],\n 6433: [6433 - 217772_s_at (numeric)],\n 6434: [6434 - 217773_s_at (numeric)],\n 6435: [6435 - 217774_s_at (numeric)],\n 6436: [6436 - 217775_s_at (numeric)],\n 6437: [6437 - 217776_at (numeric)],\n 6438: [6438 - 217777_s_at (numeric)],\n 6439: [6439 - 217779_s_at (numeric)],\n 6440: [6440 - 217780_at (numeric)],\n 6441: [6441 - 217781_s_at (numeric)],\n 6442: [6442 - 217783_s_at (numeric)],\n 6443: [6443 - 217786_at (numeric)],\n 6444: [6444 - 217787_s_at (numeric)],\n 6445: [6445 - 217788_s_at (numeric)],\n 6446: [6446 - 217789_at (numeric)],\n 6447: [6447 - 217791_s_at (numeric)],\n 6448: [6448 - 217792_at (numeric)],\n 6449: [6449 - 217794_at (numeric)],\n 6450: [6450 - 217795_s_at (numeric)],\n 6451: [6451 - 217797_at (numeric)],\n 6452: [6452 - 217798_at (numeric)],\n 6453: [6453 - 217799_x_at (numeric)],\n 6454: [6454 - 217800_s_at (numeric)],\n 6455: [6455 - 217801_at (numeric)],\n 6456: [6456 - 217802_s_at (numeric)],\n 6457: [6457 - 217803_at (numeric)],\n 6458: [6458 - 217805_at (numeric)],\n 6459: [6459 - 217807_s_at (numeric)],\n 6460: [6460 - 217809_at (numeric)],\n 6461: [6461 - 217810_x_at (numeric)],\n 6462: [6462 - 217811_at (numeric)],\n 6463: [6463 - 217812_at (numeric)],\n 6464: [6464 - 217813_s_at (numeric)],\n 6465: [6465 - 217814_at (numeric)],\n 6466: [6466 - 217815_at (numeric)],\n 6467: [6467 - 217816_s_at (numeric)],\n 6468: [6468 - 217817_at (numeric)],\n 6469: [6469 - 217819_at (numeric)],\n 6470: [6470 - 217820_s_at (numeric)],\n 6471: [6471 - 217822_at (numeric)],\n 6472: [6472 - 217823_s_at (numeric)],\n 6473: [6473 - 217825_s_at (numeric)],\n 6474: [6474 - 217826_s_at (numeric)],\n 6475: [6475 - 217827_s_at (numeric)],\n 6476: [6476 - 217828_at (numeric)],\n 6477: [6477 - 217832_at (numeric)],\n 6478: [6478 - 217833_at (numeric)],\n 6479: [6479 - 217834_s_at (numeric)],\n 6480: [6480 - 217835_x_at (numeric)],\n 6481: [6481 - 217836_s_at (numeric)],\n 6482: [6482 - 217837_s_at (numeric)],\n 6483: [6483 - 217838_s_at (numeric)],\n 6484: [6484 - 217839_at (numeric)],\n 6485: [6485 - 217840_at (numeric)],\n 6486: [6486 - 217844_at (numeric)],\n 6487: [6487 - 217845_x_at (numeric)],\n 6488: [6488 - 217846_at (numeric)],\n 6489: [6489 - 217848_s_at (numeric)],\n 6490: [6490 - 217850_at (numeric)],\n 6491: [6491 - 217851_s_at (numeric)],\n 6492: [6492 - 217852_s_at (numeric)],\n 6493: [6493 - 217853_at (numeric)],\n 6494: [6494 - 217854_s_at (numeric)],\n 6495: [6495 - 217855_x_at (numeric)],\n 6496: [6496 - 217858_s_at (numeric)],\n 6497: [6497 - 217860_at (numeric)],\n 6498: [6498 - 217862_at (numeric)],\n 6499: [6499 - 217865_at (numeric)],\n 6500: [6500 - 217866_at (numeric)],\n 6501: [6501 - 217867_x_at (numeric)],\n 6502: [6502 - 217868_s_at (numeric)],\n 6503: [6503 - 217869_at (numeric)],\n 6504: [6504 - 217870_s_at (numeric)],\n 6505: [6505 - 217871_s_at (numeric)],\n 6506: [6506 - 217872_at (numeric)],\n 6507: [6507 - 217873_at (numeric)],\n 6508: [6508 - 217874_at (numeric)],\n 6509: [6509 - 217875_s_at (numeric)],\n 6510: [6510 - 217882_at (numeric)],\n 6511: [6511 - 217883_at (numeric)],\n 6512: [6512 - 217884_at (numeric)],\n 6513: [6513 - 217885_at (numeric)],\n 6514: [6514 - 217886_at (numeric)],\n 6515: [6515 - 217887_s_at (numeric)],\n 6516: [6516 - 217890_s_at (numeric)],\n 6517: [6517 - 217892_s_at (numeric)],\n 6518: [6518 - 217893_s_at (numeric)],\n 6519: [6519 - 217894_at (numeric)],\n 6520: [6520 - 217895_at (numeric)],\n 6521: [6521 - 217897_at (numeric)],\n 6522: [6522 - 217898_at (numeric)],\n 6523: [6523 - 217900_at (numeric)],\n 6524: [6524 - 217901_at (numeric)],\n 6525: [6525 - 217906_at (numeric)],\n 6526: [6526 - 217907_at (numeric)],\n 6527: [6527 - 217908_s_at (numeric)],\n 6528: [6528 - 217911_s_at (numeric)],\n 6529: [6529 - 217912_at (numeric)],\n 6530: [6530 - 217915_s_at (numeric)],\n 6531: [6531 - 217916_s_at (numeric)],\n 6532: [6532 - 217917_s_at (numeric)],\n 6533: [6533 - 217918_at (numeric)],\n 6534: [6534 - 217919_s_at (numeric)],\n 6535: [6535 - 217922_at (numeric)],\n 6536: [6536 - 217923_at (numeric)],\n 6537: [6537 - 217926_at (numeric)],\n 6538: [6538 - 217927_at (numeric)],\n 6539: [6539 - 217928_s_at (numeric)],\n 6540: [6540 - 217929_s_at (numeric)],\n 6541: [6541 - 217933_s_at (numeric)],\n 6542: [6542 - 217934_x_at (numeric)],\n 6543: [6543 - 217938_s_at (numeric)],\n 6544: [6544 - 217939_s_at (numeric)],\n 6545: [6545 - 217940_s_at (numeric)],\n 6546: [6546 - 217941_s_at (numeric)],\n 6547: [6547 - 217942_at (numeric)],\n 6548: [6548 - 217943_s_at (numeric)],\n 6549: [6549 - 217945_at (numeric)],\n 6550: [6550 - 217946_s_at (numeric)],\n 6551: [6551 - 217947_at (numeric)],\n 6552: [6552 - 217949_s_at (numeric)],\n 6553: [6553 - 217954_s_at (numeric)],\n 6554: [6554 - 217956_s_at (numeric)],\n 6555: [6555 - 217957_at (numeric)],\n 6556: [6556 - 217958_at (numeric)],\n 6557: [6557 - 217959_s_at (numeric)],\n 6558: [6558 - 217961_at (numeric)],\n 6559: [6559 - 217962_at (numeric)],\n 6560: [6560 - 217963_s_at (numeric)],\n 6561: [6561 - 217964_at (numeric)],\n 6562: [6562 - 217966_s_at (numeric)],\n 6563: [6563 - 217967_s_at (numeric)],\n 6564: [6564 - 217969_at (numeric)],\n 6565: [6565 - 217971_at (numeric)],\n 6566: [6566 - 217972_at (numeric)],\n 6567: [6567 - 217973_at (numeric)],\n 6568: [6568 - 217975_at (numeric)],\n 6569: [6569 - 217977_at (numeric)],\n 6570: [6570 - 217978_s_at (numeric)],\n 6571: [6571 - 217979_at (numeric)],\n 6572: [6572 - 217980_s_at (numeric)],\n 6573: [6573 - 217982_s_at (numeric)],\n 6574: [6574 - 217983_s_at (numeric)],\n 6575: [6575 - 217984_at (numeric)],\n 6576: [6576 - 217985_s_at (numeric)],\n 6577: [6577 - 217986_s_at (numeric)],\n 6578: [6578 - 217987_at (numeric)],\n 6579: [6579 - 217988_at (numeric)],\n 6580: [6580 - 217989_at (numeric)],\n 6581: [6581 - 217993_s_at (numeric)],\n 6582: [6582 - 217995_at (numeric)],\n 6583: [6583 - 217996_at (numeric)],\n 6584: [6584 - 217997_at (numeric)],\n 6585: [6585 - 217999_s_at (numeric)],\n 6586: [6586 - 218002_s_at (numeric)],\n 6587: [6587 - 218003_s_at (numeric)],\n 6588: [6588 - 218005_at (numeric)],\n 6589: [6589 - 218007_s_at (numeric)],\n 6590: [6590 - 218008_at (numeric)],\n 6591: [6591 - 218009_s_at (numeric)],\n 6592: [6592 - 218010_x_at (numeric)],\n 6593: [6593 - 218011_at (numeric)],\n 6594: [6594 - 218012_at (numeric)],\n 6595: [6595 - 218014_at (numeric)],\n 6596: [6596 - 218016_s_at (numeric)],\n 6597: [6597 - 218018_at (numeric)],\n 6598: [6598 - 218019_s_at (numeric)],\n 6599: [6599 - 218024_at (numeric)],\n 6600: [6600 - 218025_s_at (numeric)],\n 6601: [6601 - 218026_at (numeric)],\n 6602: [6602 - 218027_at (numeric)],\n 6603: [6603 - 218028_at (numeric)],\n 6604: [6604 - 218031_s_at (numeric)],\n 6605: [6605 - 218034_at (numeric)],\n 6606: [6606 - 218035_s_at (numeric)],\n 6607: [6607 - 218036_x_at (numeric)],\n 6608: [6608 - 218039_at (numeric)],\n 6609: [6609 - 218041_x_at (numeric)],\n 6610: [6610 - 218042_at (numeric)],\n 6611: [6611 - 218046_s_at (numeric)],\n 6612: [6612 - 218047_at (numeric)],\n 6613: [6613 - 218048_at (numeric)],\n 6614: [6614 - 218049_s_at (numeric)],\n 6615: [6615 - 218050_at (numeric)],\n 6616: [6616 - 218051_s_at (numeric)],\n 6617: [6617 - 218053_at (numeric)],\n 6618: [6618 - 218057_x_at (numeric)],\n 6619: [6619 - 218059_at (numeric)],\n 6620: [6620 - 218061_at (numeric)],\n 6621: [6621 - 218062_x_at (numeric)],\n 6622: [6622 - 218065_s_at (numeric)],\n 6623: [6623 - 218066_at (numeric)],\n 6624: [6624 - 218067_s_at (numeric)],\n 6625: [6625 - 218069_at (numeric)],\n 6626: [6626 - 218074_at (numeric)],\n 6627: [6627 - 218076_s_at (numeric)],\n 6628: [6628 - 218082_s_at (numeric)],\n 6629: [6629 - 218084_x_at (numeric)],\n 6630: [6630 - 218085_at (numeric)],\n 6631: [6631 - 218086_at (numeric)],\n 6632: [6632 - 218087_s_at (numeric)],\n 6633: [6633 - 218088_s_at (numeric)],\n 6634: [6634 - 218090_s_at (numeric)],\n 6635: [6635 - 218093_s_at (numeric)],\n 6636: [6636 - 218094_s_at (numeric)],\n 6637: [6637 - 218095_s_at (numeric)],\n 6638: [6638 - 218096_at (numeric)],\n 6639: [6639 - 218097_s_at (numeric)],\n 6640: [6640 - 218098_at (numeric)],\n 6641: [6641 - 218100_s_at (numeric)],\n 6642: [6642 - 218101_s_at (numeric)],\n 6643: [6643 - 218102_at (numeric)],\n 6644: [6644 - 218107_at (numeric)],\n 6645: [6645 - 218108_at (numeric)],\n 6646: [6646 - 218109_s_at (numeric)],\n 6647: [6647 - 218113_at (numeric)],\n 6648: [6648 - 218115_at (numeric)],\n 6649: [6649 - 218117_at (numeric)],\n 6650: [6650 - 218118_s_at (numeric)],\n 6651: [6651 - 218123_at (numeric)],\n 6652: [6652 - 218131_s_at (numeric)],\n 6653: [6653 - 218132_s_at (numeric)],\n 6654: [6654 - 218133_s_at (numeric)],\n 6655: [6655 - 218134_s_at (numeric)],\n 6656: [6656 - 218135_at (numeric)],\n 6657: [6657 - 218136_s_at (numeric)],\n 6658: [6658 - 218137_s_at (numeric)],\n 6659: [6659 - 218139_s_at (numeric)],\n 6660: [6660 - 218140_x_at (numeric)],\n 6661: [6661 - 218142_s_at (numeric)],\n 6662: [6662 - 218145_at (numeric)],\n 6663: [6663 - 218146_at (numeric)],\n 6664: [6664 - 218147_s_at (numeric)],\n 6665: [6665 - 218149_s_at (numeric)],\n 6666: [6666 - 218150_at (numeric)],\n 6667: [6667 - 218153_at (numeric)],\n 6668: [6668 - 218155_x_at (numeric)],\n 6669: [6669 - 218157_x_at (numeric)],\n 6670: [6670 - 218160_at (numeric)],\n 6671: [6671 - 218162_at (numeric)],\n 6672: [6672 - 218163_at (numeric)],\n 6673: [6673 - 218164_at (numeric)],\n 6674: [6674 - 218165_at (numeric)],\n 6675: [6675 - 218167_at (numeric)],\n 6676: [6676 - 218168_s_at (numeric)],\n 6677: [6677 - 218170_at (numeric)],\n 6678: [6678 - 218171_at (numeric)],\n 6679: [6679 - 218172_s_at (numeric)],\n 6680: [6680 - 218176_at (numeric)],\n 6681: [6681 - 218178_s_at (numeric)],\n 6682: [6682 - 218180_s_at (numeric)],\n 6683: [6683 - 218181_s_at (numeric)],\n 6684: [6684 - 218182_s_at (numeric)],\n 6685: [6685 - 218185_s_at (numeric)],\n 6686: [6686 - 218186_at (numeric)],\n 6687: [6687 - 218188_s_at (numeric)],\n 6688: [6688 - 218189_s_at (numeric)],\n 6689: [6689 - 218190_s_at (numeric)],\n 6690: [6690 - 218191_s_at (numeric)],\n 6691: [6691 - 218192_at (numeric)],\n 6692: [6692 - 218193_s_at (numeric)],\n 6693: [6693 - 218194_at (numeric)],\n 6694: [6694 - 218195_at (numeric)],\n 6695: [6695 - 218197_s_at (numeric)],\n 6696: [6696 - 218198_at (numeric)],\n 6697: [6697 - 218200_s_at (numeric)],\n 6698: [6698 - 218201_at (numeric)],\n 6699: [6699 - 218203_at (numeric)],\n 6700: [6700 - 218204_s_at (numeric)],\n 6701: [6701 - 218205_s_at (numeric)],\n 6702: [6702 - 218206_x_at (numeric)],\n 6703: [6703 - 218209_s_at (numeric)],\n 6704: [6704 - 218211_s_at (numeric)],\n 6705: [6705 - 218213_s_at (numeric)],\n 6706: [6706 - 218216_x_at (numeric)],\n 6707: [6707 - 218217_at (numeric)],\n 6708: [6708 - 218218_at (numeric)],\n 6709: [6709 - 218223_s_at (numeric)],\n 6710: [6710 - 218224_at (numeric)],\n 6711: [6711 - 218226_s_at (numeric)],\n 6712: [6712 - 218228_s_at (numeric)],\n 6713: [6713 - 218229_s_at (numeric)],\n 6714: [6714 - 218230_at (numeric)],\n 6715: [6715 - 218231_at (numeric)],\n 6716: [6716 - 218232_at (numeric)],\n 6717: [6717 - 218233_s_at (numeric)],\n 6718: [6718 - 218236_s_at (numeric)],\n 6719: [6719 - 218237_s_at (numeric)],\n 6720: [6720 - 218238_at (numeric)],\n 6721: [6721 - 218239_s_at (numeric)],\n 6722: [6722 - 218241_at (numeric)],\n 6723: [6723 - 218242_s_at (numeric)],\n 6724: [6724 - 218245_at (numeric)],\n 6725: [6725 - 218247_s_at (numeric)],\n 6726: [6726 - 218248_at (numeric)],\n 6727: [6727 - 218249_at (numeric)],\n 6728: [6728 - 218250_s_at (numeric)],\n 6729: [6729 - 218252_at (numeric)],\n 6730: [6730 - 218253_s_at (numeric)],\n 6731: [6731 - 218254_s_at (numeric)],\n 6732: [6732 - 218256_s_at (numeric)],\n 6733: [6733 - 218258_at (numeric)],\n 6734: [6734 - 218259_at (numeric)],\n 6735: [6735 - 218261_at (numeric)],\n 6736: [6736 - 218263_s_at (numeric)],\n 6737: [6737 - 218269_at (numeric)],\n 6738: [6738 - 218270_at (numeric)],\n 6739: [6739 - 218271_s_at (numeric)],\n 6740: [6740 - 218273_s_at (numeric)],\n 6741: [6741 - 218276_s_at (numeric)],\n 6742: [6742 - 218277_s_at (numeric)],\n 6743: [6743 - 218280_x_at (numeric)],\n 6744: [6744 - 218283_at (numeric)],\n 6745: [6745 - 218285_s_at (numeric)],\n 6746: [6746 - 218286_s_at (numeric)],\n 6747: [6747 - 218288_s_at (numeric)],\n 6748: [6748 - 218291_at (numeric)],\n 6749: [6749 - 218297_at (numeric)],\n 6750: [6750 - 218298_s_at (numeric)],\n 6751: [6751 - 218302_at (numeric)],\n 6752: [6752 - 218303_x_at (numeric)],\n 6753: [6753 - 218304_s_at (numeric)],\n 6754: [6754 - 218308_at (numeric)],\n 6755: [6755 - 218309_at (numeric)],\n 6756: [6756 - 218312_s_at (numeric)],\n 6757: [6757 - 218313_s_at (numeric)],\n 6758: [6758 - 218319_at (numeric)],\n 6759: [6759 - 218320_s_at (numeric)],\n 6760: [6760 - 218322_s_at (numeric)],\n 6761: [6761 - 218326_s_at (numeric)],\n 6762: [6762 - 218327_s_at (numeric)],\n 6763: [6763 - 218330_s_at (numeric)],\n 6764: [6764 - 218331_s_at (numeric)],\n 6765: [6765 - 218332_at (numeric)],\n 6766: [6766 - 218333_at (numeric)],\n 6767: [6767 - 218334_at (numeric)],\n 6768: [6768 - 218336_at (numeric)],\n 6769: [6769 - 218339_at (numeric)],\n 6770: [6770 - 218341_at (numeric)],\n 6771: [6771 - 218342_s_at (numeric)],\n 6772: [6772 - 218345_at (numeric)],\n 6773: [6773 - 218346_s_at (numeric)],\n 6774: [6774 - 218350_s_at (numeric)],\n 6775: [6775 - 218351_at (numeric)],\n 6776: [6776 - 218352_at (numeric)],\n 6777: [6777 - 218353_at (numeric)],\n 6778: [6778 - 218354_at (numeric)],\n 6779: [6779 - 218355_at (numeric)],\n 6780: [6780 - 218357_s_at (numeric)],\n 6781: [6781 - 218358_at (numeric)],\n 6782: [6782 - 218361_at (numeric)],\n 6783: [6783 - 218364_at (numeric)],\n 6784: [6784 - 218366_x_at (numeric)],\n 6785: [6785 - 218368_s_at (numeric)],\n 6786: [6786 - 218375_at (numeric)],\n 6787: [6787 - 218376_s_at (numeric)],\n 6788: [6788 - 218379_at (numeric)],\n 6789: [6789 - 218380_at (numeric)],\n 6790: [6790 - 218381_s_at (numeric)],\n 6791: [6791 - 218384_at (numeric)],\n 6792: [6792 - 218386_x_at (numeric)],\n 6793: [6793 - 218387_s_at (numeric)],\n 6794: [6794 - 218388_at (numeric)],\n 6795: [6795 - 218389_s_at (numeric)],\n 6796: [6796 - 218391_at (numeric)],\n 6797: [6797 - 218395_at (numeric)],\n 6798: [6798 - 218396_at (numeric)],\n 6799: [6799 - 218397_at (numeric)],\n 6800: [6800 - 218400_at (numeric)],\n 6801: [6801 - 218403_at (numeric)],\n 6802: [6802 - 218404_at (numeric)],\n 6803: [6803 - 218407_x_at (numeric)],\n 6804: [6804 - 218418_s_at (numeric)],\n 6805: [6805 - 218423_x_at (numeric)],\n 6806: [6806 - 218428_s_at (numeric)],\n 6807: [6807 - 218432_at (numeric)],\n 6808: [6808 - 218434_s_at (numeric)],\n 6809: [6809 - 218435_at (numeric)],\n 6810: [6810 - 218437_s_at (numeric)],\n 6811: [6811 - 218440_at (numeric)],\n 6812: [6812 - 218443_s_at (numeric)],\n 6813: [6813 - 218445_at (numeric)],\n 6814: [6814 - 218446_s_at (numeric)],\n 6815: [6815 - 218447_at (numeric)],\n 6816: [6816 - 218450_at (numeric)],\n 6817: [6817 - 218454_at (numeric)],\n 6818: [6818 - 218456_at (numeric)],\n 6819: [6819 - 218459_at (numeric)],\n 6820: [6820 - 218460_at (numeric)],\n 6821: [6821 - 218462_at (numeric)],\n 6822: [6822 - 218467_at (numeric)],\n 6823: [6823 - 218468_s_at (numeric)],\n 6824: [6824 - 218469_at (numeric)],\n 6825: [6825 - 218477_at (numeric)],\n 6826: [6826 - 218478_s_at (numeric)],\n 6827: [6827 - 218482_at (numeric)],\n 6828: [6828 - 218484_at (numeric)],\n 6829: [6829 - 218487_at (numeric)],\n 6830: [6830 - 218490_s_at (numeric)],\n 6831: [6831 - 218491_s_at (numeric)],\n 6832: [6832 - 218493_at (numeric)],\n 6833: [6833 - 218494_s_at (numeric)],\n 6834: [6834 - 218495_at (numeric)],\n 6835: [6835 - 218498_s_at (numeric)],\n 6836: [6836 - 218499_at (numeric)],\n 6837: [6837 - 218501_at (numeric)],\n 6838: [6838 - 218502_s_at (numeric)],\n 6839: [6839 - 218507_at (numeric)],\n 6840: [6840 - 218512_at (numeric)],\n 6841: [6841 - 218515_at (numeric)],\n 6842: [6842 - 218516_s_at (numeric)],\n 6843: [6843 - 218518_at (numeric)],\n 6844: [6844 - 218526_s_at (numeric)],\n 6845: [6845 - 218528_s_at (numeric)],\n 6846: [6846 - 218532_s_at (numeric)],\n 6847: [6847 - 218539_at (numeric)],\n 6848: [6848 - 218541_s_at (numeric)],\n 6849: [6849 - 218542_at (numeric)],\n 6850: [6850 - 218543_s_at (numeric)],\n 6851: [6851 - 218545_at (numeric)],\n 6852: [6852 - 218546_at (numeric)],\n 6853: [6853 - 218552_at (numeric)],\n 6854: [6854 - 218556_at (numeric)],\n 6855: [6855 - 218557_at (numeric)],\n 6856: [6856 - 218558_s_at (numeric)],\n 6857: [6857 - 218559_s_at (numeric)],\n 6858: [6858 - 218561_s_at (numeric)],\n 6859: [6859 - 218563_at (numeric)],\n 6860: [6860 - 218566_s_at (numeric)],\n 6861: [6861 - 218571_s_at (numeric)],\n 6862: [6862 - 218573_at (numeric)],\n 6863: [6863 - 218574_s_at (numeric)],\n 6864: [6864 - 218577_at (numeric)],\n 6865: [6865 - 218578_at (numeric)],\n 6866: [6866 - 218580_x_at (numeric)],\n 6867: [6867 - 218582_at (numeric)],\n 6868: [6868 - 218584_at (numeric)],\n 6869: [6869 - 218585_s_at (numeric)],\n 6870: [6870 - 218589_at (numeric)],\n 6871: [6871 - 218594_at (numeric)],\n 6872: [6872 - 218595_s_at (numeric)],\n 6873: [6873 - 218597_s_at (numeric)],\n 6874: [6874 - 218599_at (numeric)],\n 6875: [6875 - 218603_at (numeric)],\n 6876: [6876 - 218604_at (numeric)],\n 6877: [6877 - 218605_at (numeric)],\n 6878: [6878 - 218606_at (numeric)],\n 6879: [6879 - 218611_at (numeric)],\n 6880: [6880 - 218613_at (numeric)],\n 6881: [6881 - 218614_at (numeric)],\n 6882: [6882 - 218618_s_at (numeric)],\n 6883: [6883 - 218622_at (numeric)],\n 6884: [6884 - 218625_at (numeric)],\n 6885: [6885 - 218627_at (numeric)],\n 6886: [6886 - 218628_at (numeric)],\n 6887: [6887 - 218633_x_at (numeric)],\n 6888: [6888 - 218638_s_at (numeric)],\n 6889: [6889 - 218640_s_at (numeric)],\n 6890: [6890 - 218641_at (numeric)],\n 6891: [6891 - 218642_s_at (numeric)],\n 6892: [6892 - 218646_at (numeric)],\n 6893: [6893 - 218648_at (numeric)],\n 6894: [6894 - 218649_x_at (numeric)],\n 6895: [6895 - 218652_s_at (numeric)],\n 6896: [6896 - 218654_s_at (numeric)],\n 6897: [6897 - 218656_s_at (numeric)],\n 6898: [6898 - 218659_at (numeric)],\n 6899: [6899 - 218662_s_at (numeric)],\n 6900: [6900 - 218665_at (numeric)],\n 6901: [6901 - 218667_at (numeric)],\n 6902: [6902 - 218668_s_at (numeric)],\n 6903: [6903 - 218669_at (numeric)],\n 6904: [6904 - 218671_s_at (numeric)],\n 6905: [6905 - 218672_at (numeric)],\n 6906: [6906 - 218676_s_at (numeric)],\n 6907: [6907 - 218677_at (numeric)],\n 6908: [6908 - 218678_at (numeric)],\n 6909: [6909 - 218679_s_at (numeric)],\n 6910: [6910 - 218680_x_at (numeric)],\n 6911: [6911 - 218681_s_at (numeric)],\n 6912: [6912 - 218683_at (numeric)],\n 6913: [6913 - 218684_at (numeric)],\n 6914: [6914 - 218692_at (numeric)],\n 6915: [6915 - 218694_at (numeric)],\n 6916: [6916 - 218696_at (numeric)],\n 6917: [6917 - 218698_at (numeric)],\n 6918: [6918 - 218699_at (numeric)],\n 6919: [6919 - 218704_at (numeric)],\n 6920: [6920 - 218706_s_at (numeric)],\n 6921: [6921 - 218709_s_at (numeric)],\n 6922: [6922 - 218715_at (numeric)],\n 6923: [6923 - 218717_s_at (numeric)],\n 6924: [6924 - 218718_at (numeric)],\n 6925: [6925 - 218720_x_at (numeric)],\n 6926: [6926 - 218721_s_at (numeric)],\n 6927: [6927 - 218723_s_at (numeric)],\n 6928: [6928 - 218726_at (numeric)],\n 6929: [6929 - 218728_s_at (numeric)],\n 6930: [6930 - 218729_at (numeric)],\n 6931: [6931 - 218730_s_at (numeric)],\n 6932: [6932 - 218731_s_at (numeric)],\n 6933: [6933 - 218732_at (numeric)],\n 6934: [6934 - 218736_s_at (numeric)],\n 6935: [6935 - 218738_s_at (numeric)],\n 6936: [6936 - 218740_s_at (numeric)],\n 6937: [6937 - 218750_at (numeric)],\n 6938: [6938 - 218755_at (numeric)],\n 6939: [6939 - 218757_s_at (numeric)],\n 6940: [6940 - 218763_at (numeric)],\n 6941: [6941 - 218764_at (numeric)],\n 6942: [6942 - 218765_at (numeric)],\n 6943: [6943 - 218768_at (numeric)],\n 6944: [6944 - 218769_s_at (numeric)],\n 6945: [6945 - 218773_s_at (numeric)],\n 6946: [6946 - 218779_x_at (numeric)],\n 6947: [6947 - 218781_at (numeric)],\n 6948: [6948 - 218782_s_at (numeric)],\n 6949: [6949 - 218788_s_at (numeric)],\n 6950: [6950 - 218793_s_at (numeric)],\n 6951: [6951 - 218795_at (numeric)],\n 6952: [6952 - 218796_at (numeric)],\n 6953: [6953 - 218802_at (numeric)],\n 6954: [6954 - 218804_at (numeric)],\n 6955: [6955 - 218806_s_at (numeric)],\n 6956: [6956 - 218807_at (numeric)],\n 6957: [6957 - 218809_at (numeric)],\n 6958: [6958 - 218810_at (numeric)],\n 6959: [6959 - 218819_at (numeric)],\n 6960: [6960 - 218820_at (numeric)],\n 6961: [6961 - 218824_at (numeric)],\n 6962: [6962 - 218826_at (numeric)],\n 6963: [6963 - 218830_at (numeric)],\n 6964: [6964 - 218831_s_at (numeric)],\n 6965: [6965 - 218834_s_at (numeric)],\n 6966: [6966 - 218835_at (numeric)],\n 6967: [6967 - 218839_at (numeric)],\n 6968: [6968 - 218845_at (numeric)],\n 6969: [6969 - 218846_at (numeric)],\n 6970: [6970 - 218847_at (numeric)],\n 6971: [6971 - 218854_at (numeric)],\n 6972: [6972 - 218856_at (numeric)],\n 6973: [6973 - 218857_s_at (numeric)],\n 6974: [6974 - 218858_at (numeric)],\n 6975: [6975 - 218859_s_at (numeric)],\n 6976: [6976 - 218865_at (numeric)],\n 6977: [6977 - 218871_x_at (numeric)],\n 6978: [6978 - 218872_at (numeric)],\n 6979: [6979 - 218876_at (numeric)],\n 6980: [6980 - 218877_s_at (numeric)],\n 6981: [6981 - 218883_s_at (numeric)],\n 6982: [6982 - 218885_s_at (numeric)],\n 6983: [6983 - 218886_at (numeric)],\n 6984: [6984 - 218888_s_at (numeric)],\n 6985: [6985 - 218889_at (numeric)],\n 6986: [6986 - 218901_at (numeric)],\n 6987: [6987 - 218905_at (numeric)],\n 6988: [6988 - 218909_at (numeric)],\n 6989: [6989 - 218917_s_at (numeric)],\n 6990: [6990 - 218918_at (numeric)],\n 6991: [6991 - 218923_at (numeric)],\n 6992: [6992 - 218924_s_at (numeric)],\n 6993: [6993 - 218928_s_at (numeric)],\n 6994: [6994 - 218930_s_at (numeric)],\n 6995: [6995 - 218946_at (numeric)],\n 6996: [6996 - 218959_at (numeric)],\n 6997: [6997 - 218960_at (numeric)],\n 6998: [6998 - 218962_s_at (numeric)],\n 6999: [6999 - 218963_s_at (numeric)],\n 7000: [7000 - 218966_at (numeric)],\n 7001: [7001 - 218967_s_at (numeric)],\n 7002: [7002 - 218972_at (numeric)],\n 7003: [7003 - 218974_at (numeric)],\n 7004: [7004 - 218976_at (numeric)],\n 7005: [7005 - 218979_at (numeric)],\n 7006: [7006 - 218982_s_at (numeric)],\n 7007: [7007 - 218983_at (numeric)],\n 7008: [7008 - 218984_at (numeric)],\n 7009: [7009 - 218986_s_at (numeric)],\n 7010: [7010 - 218988_at (numeric)],\n 7011: [7011 - 218989_x_at (numeric)],\n 7012: [7012 - 218990_s_at (numeric)],\n 7013: [7013 - 219006_at (numeric)],\n 7014: [7014 - 219007_at (numeric)],\n 7015: [7015 - 219010_at (numeric)],\n 7016: [7016 - 219013_at (numeric)],\n 7017: [7017 - 219014_at (numeric)],\n 7018: [7018 - 219017_at (numeric)],\n 7019: [7019 - 219024_at (numeric)],\n 7020: [7020 - 219025_at (numeric)],\n 7021: [7021 - 219030_at (numeric)],\n 7022: [7022 - 219032_x_at (numeric)],\n 7023: [7023 - 219033_at (numeric)],\n 7024: [7024 - 219035_s_at (numeric)],\n 7025: [7025 - 219038_at (numeric)],\n 7026: [7026 - 219041_s_at (numeric)],\n 7027: [7027 - 219043_s_at (numeric)],\n 7028: [7028 - 219049_at (numeric)],\n 7029: [7029 - 219053_s_at (numeric)],\n 7030: [7030 - 219054_at (numeric)],\n 7031: [7031 - 219059_s_at (numeric)],\n 7032: [7032 - 219061_s_at (numeric)],\n 7033: [7033 - 219064_at (numeric)],\n 7034: [7034 - 219065_s_at (numeric)],\n 7035: [7035 - 219067_s_at (numeric)],\n 7036: [7036 - 219073_s_at (numeric)],\n 7037: [7037 - 219076_s_at (numeric)],\n 7038: [7038 - 219087_at (numeric)],\n 7039: [7039 - 219090_at (numeric)],\n 7040: [7040 - 219093_at (numeric)],\n 7041: [7041 - 219097_x_at (numeric)],\n 7042: [7042 - 219105_x_at (numeric)],\n 7043: [7043 - 219106_s_at (numeric)],\n 7044: [7044 - 219109_at (numeric)],\n 7045: [7045 - 219110_at (numeric)],\n 7046: [7046 - 219117_s_at (numeric)],\n 7047: [7047 - 219118_at (numeric)],\n 7048: [7048 - 219119_at (numeric)],\n 7049: [7049 - 219121_s_at (numeric)],\n 7050: [7050 - 219123_at (numeric)],\n 7051: [7051 - 219126_at (numeric)],\n 7052: [7052 - 219127_at (numeric)],\n 7053: [7053 - 219140_s_at (numeric)],\n 7054: [7054 - 219142_at (numeric)],\n 7055: [7055 - 219147_s_at (numeric)],\n 7056: [7056 - 219148_at (numeric)],\n 7057: [7057 - 219151_s_at (numeric)],\n 7058: [7058 - 219155_at (numeric)],\n 7059: [7059 - 219156_at (numeric)],\n 7060: [7060 - 219157_at (numeric)],\n 7061: [7061 - 219161_s_at (numeric)],\n 7062: [7062 - 219167_at (numeric)],\n 7063: [7063 - 219176_at (numeric)],\n 7064: [7064 - 219181_at (numeric)],\n 7065: [7065 - 219182_at (numeric)],\n 7066: [7066 - 219192_at (numeric)],\n 7067: [7067 - 219197_s_at (numeric)],\n 7068: [7068 - 219206_x_at (numeric)],\n 7069: [7069 - 219209_at (numeric)],\n 7070: [7070 - 219211_at (numeric)],\n 7071: [7071 - 219215_s_at (numeric)],\n 7072: [7072 - 219220_x_at (numeric)],\n 7073: [7073 - 219221_at (numeric)],\n 7074: [7074 - 219228_at (numeric)],\n 7075: [7075 - 219230_at (numeric)],\n 7076: [7076 - 219231_at (numeric)],\n 7077: [7077 - 219232_s_at (numeric)],\n 7078: [7078 - 219233_s_at (numeric)],\n 7079: [7079 - 219237_s_at (numeric)],\n 7080: [7080 - 219249_s_at (numeric)],\n 7081: [7081 - 219250_s_at (numeric)],\n 7082: [7082 - 219263_at (numeric)],\n 7083: [7083 - 219266_at (numeric)],\n 7084: [7084 - 219271_at (numeric)],\n 7085: [7085 - 219274_at (numeric)],\n 7086: [7086 - 219275_at (numeric)],\n 7087: [7087 - 219276_x_at (numeric)],\n 7088: [7088 - 219283_at (numeric)],\n 7089: [7089 - 219286_s_at (numeric)],\n 7090: [7090 - 219288_at (numeric)],\n 7091: [7091 - 219290_x_at (numeric)],\n 7092: [7092 - 219293_s_at (numeric)],\n 7093: [7093 - 219295_s_at (numeric)],\n 7094: [7094 - 219296_at (numeric)],\n 7095: [7095 - 219298_at (numeric)],\n 7096: [7096 - 219300_s_at (numeric)],\n 7097: [7097 - 219301_s_at (numeric)],\n 7098: [7098 - 219304_s_at (numeric)],\n 7099: [7099 - 219312_s_at (numeric)],\n 7100: [7100 - 219315_s_at (numeric)],\n 7101: [7101 - 219327_s_at (numeric)],\n 7102: [7102 - 219329_s_at (numeric)],\n 7103: [7103 - 219350_s_at (numeric)],\n 7104: [7104 - 219352_at (numeric)],\n 7105: [7105 - 219356_s_at (numeric)],\n 7106: [7106 - 219359_at (numeric)],\n 7107: [7107 - 219360_s_at (numeric)],\n 7108: [7108 - 219363_s_at (numeric)],\n 7109: [7109 - 219368_at (numeric)],\n 7110: [7110 - 219370_at (numeric)],\n 7111: [7111 - 219371_s_at (numeric)],\n 7112: [7112 - 219373_at (numeric)],\n 7113: [7113 - 219377_at (numeric)],\n 7114: [7114 - 219386_s_at (numeric)],\n 7115: [7115 - 219388_at (numeric)],\n 7116: [7116 - 219392_x_at (numeric)],\n 7117: [7117 - 219395_at (numeric)],\n 7118: [7118 - 219402_s_at (numeric)],\n 7119: [7119 - 219405_at (numeric)],\n 7120: [7120 - 219410_at (numeric)],\n 7121: [7121 - 219434_at (numeric)],\n 7122: [7122 - 219440_at (numeric)],\n 7123: [7123 - 219449_s_at (numeric)],\n 7124: [7124 - 219450_at (numeric)],\n 7125: [7125 - 219454_at (numeric)],\n 7126: [7126 - 219455_at (numeric)],\n 7127: [7127 - 219463_at (numeric)],\n 7128: [7128 - 219468_s_at (numeric)],\n 7129: [7129 - 219476_at (numeric)],\n 7130: [7130 - 219478_at (numeric)],\n 7131: [7131 - 219479_at (numeric)],\n 7132: [7132 - 219485_s_at (numeric)],\n 7133: [7133 - 219489_s_at (numeric)],\n 7134: [7134 - 219497_s_at (numeric)],\n 7135: [7135 - 219505_at (numeric)],\n 7136: [7136 - 219506_at (numeric)],\n 7137: [7137 - 219508_at (numeric)],\n 7138: [7138 - 219511_s_at (numeric)],\n 7139: [7139 - 219523_s_at (numeric)],\n 7140: [7140 - 219525_at (numeric)],\n 7141: [7141 - 219534_x_at (numeric)],\n 7142: [7142 - 219545_at (numeric)],\n 7143: [7143 - 219549_s_at (numeric)],\n 7144: [7144 - 219551_at (numeric)],\n 7145: [7145 - 219553_at (numeric)],\n 7146: [7146 - 219554_at (numeric)],\n 7147: [7147 - 219555_s_at (numeric)],\n 7148: [7148 - 219571_s_at (numeric)],\n 7149: [7149 - 219572_at (numeric)],\n 7150: [7150 - 219580_s_at (numeric)],\n 7151: [7151 - 219584_at (numeric)],\n 7152: [7152 - 219590_x_at (numeric)],\n 7153: [7153 - 219598_s_at (numeric)],\n 7154: [7154 - 219600_s_at (numeric)],\n 7155: [7155 - 219602_s_at (numeric)],\n 7156: [7156 - 219607_s_at (numeric)],\n 7157: [7157 - 219622_at (numeric)],\n 7158: [7158 - 219625_s_at (numeric)],\n 7159: [7159 - 219630_at (numeric)],\n 7160: [7160 - 219634_at (numeric)],\n 7161: [7161 - 219639_x_at (numeric)],\n 7162: [7162 - 219648_at (numeric)],\n 7163: [7163 - 219654_at (numeric)],\n 7164: [7164 - 219666_at (numeric)],\n 7165: [7165 - 219667_s_at (numeric)],\n 7166: [7166 - 219669_at (numeric)],\n 7167: [7167 - 219675_s_at (numeric)],\n 7168: [7168 - 219681_s_at (numeric)],\n 7169: [7169 - 219682_s_at (numeric)],\n 7170: [7170 - 219683_at (numeric)],\n 7171: [7171 - 219684_at (numeric)],\n 7172: [7172 - 219696_at (numeric)],\n 7173: [7173 - 219703_at (numeric)],\n 7174: [7174 - 219728_at (numeric)],\n 7175: [7175 - 219734_at (numeric)],\n 7176: [7176 - 219736_at (numeric)],\n 7177: [7177 - 219737_s_at (numeric)],\n 7178: [7178 - 219743_at (numeric)],\n 7179: [7179 - 219747_at (numeric)],\n 7180: [7180 - 219757_s_at (numeric)],\n 7181: [7181 - 219759_at (numeric)],\n 7182: [7182 - 219762_s_at (numeric)],\n 7183: [7183 - 219764_at (numeric)],\n 7184: [7184 - 219768_at (numeric)],\n 7185: [7185 - 219772_s_at (numeric)],\n 7186: [7186 - 219777_at (numeric)],\n 7187: [7187 - 219778_at (numeric)],\n 7188: [7188 - 219779_at (numeric)],\n 7189: [7189 - 219787_s_at (numeric)],\n 7190: [7190 - 219789_at (numeric)],\n 7191: [7191 - 219795_at (numeric)],\n 7192: [7192 - 219799_s_at (numeric)],\n 7193: [7193 - 219806_s_at (numeric)],\n 7194: [7194 - 219816_s_at (numeric)],\n 7195: [7195 - 219819_s_at (numeric)],\n 7196: [7196 - 219833_s_at (numeric)],\n 7197: [7197 - 219836_at (numeric)],\n 7198: [7198 - 219837_s_at (numeric)],\n 7199: [7199 - 219848_s_at (numeric)],\n 7200: [7200 - 219850_s_at (numeric)],\n 7201: [7201 - 219855_at (numeric)],\n 7202: [7202 - 219856_at (numeric)],\n 7203: [7203 - 219857_at (numeric)],\n 7204: [7204 - 219862_s_at (numeric)],\n 7205: [7205 - 219863_at (numeric)],\n 7206: [7206 - 219866_at (numeric)],\n 7207: [7207 - 219869_s_at (numeric)],\n 7208: [7208 - 219873_at (numeric)],\n 7209: [7209 - 219888_at (numeric)],\n 7210: [7210 - 219918_s_at (numeric)],\n 7211: [7211 - 219922_s_at (numeric)],\n 7212: [7212 - 219928_s_at (numeric)],\n 7213: [7213 - 219933_at (numeric)],\n 7214: [7214 - 219935_at (numeric)],\n 7215: [7215 - 219939_s_at (numeric)],\n 7216: [7216 - 219940_s_at (numeric)],\n 7217: [7217 - 219956_at (numeric)],\n 7218: [7218 - 219959_at (numeric)],\n 7219: [7219 - 219960_s_at (numeric)],\n 7220: [7220 - 219961_s_at (numeric)],\n 7221: [7221 - 219962_at (numeric)],\n 7222: [7222 - 219978_s_at (numeric)],\n 7223: [7223 - 219981_x_at (numeric)],\n 7224: [7224 - 219985_at (numeric)],\n 7225: [7225 - 219987_at (numeric)],\n 7226: [7226 - 219993_at (numeric)],\n 7227: [7227 - 220014_at (numeric)],\n 7228: [7228 - 220026_at (numeric)],\n 7229: [7229 - 220038_at (numeric)],\n 7230: [7230 - 220044_x_at (numeric)],\n 7231: [7231 - 220046_s_at (numeric)],\n 7232: [7232 - 220057_at (numeric)],\n 7233: [7233 - 220065_at (numeric)],\n 7234: [7234 - 220071_x_at (numeric)],\n 7235: [7235 - 220079_s_at (numeric)],\n 7236: [7236 - 220088_at (numeric)],\n 7237: [7237 - 220094_s_at (numeric)],\n 7238: [7238 - 220099_s_at (numeric)],\n 7239: [7239 - 220115_s_at (numeric)],\n 7240: [7240 - 220116_at (numeric)],\n 7241: [7241 - 220147_s_at (numeric)],\n 7242: [7242 - 220161_s_at (numeric)],\n 7243: [7243 - 220173_at (numeric)],\n 7244: [7244 - 220175_s_at (numeric)],\n 7245: [7245 - 220177_s_at (numeric)],\n 7246: [7246 - 220187_at (numeric)],\n 7247: [7247 - 220189_s_at (numeric)],\n 7248: [7248 - 220192_x_at (numeric)],\n 7249: [7249 - 220196_at (numeric)],\n 7250: [7250 - 220199_s_at (numeric)],\n 7251: [7251 - 220217_x_at (numeric)],\n 7252: [7252 - 220226_at (numeric)],\n 7253: [7253 - 220231_at (numeric)],\n 7254: [7254 - 220232_at (numeric)],\n 7255: [7255 - 220234_at (numeric)],\n 7256: [7256 - 220248_x_at (numeric)],\n 7257: [7257 - 220266_s_at (numeric)],\n 7258: [7258 - 220269_at (numeric)],\n 7259: [7259 - 220272_at (numeric)],\n 7260: [7260 - 220273_at (numeric)],\n 7261: [7261 - 220316_at (numeric)],\n 7262: [7262 - 220319_s_at (numeric)],\n 7263: [7263 - 220326_s_at (numeric)],\n 7264: [7264 - 220327_at (numeric)],\n 7265: [7265 - 220330_s_at (numeric)],\n 7266: [7266 - 220335_x_at (numeric)],\n 7267: [7267 - 220342_x_at (numeric)],\n 7268: [7268 - 220355_s_at (numeric)],\n 7269: [7269 - 220394_at (numeric)],\n 7270: [7270 - 220416_at (numeric)],\n 7271: [7271 - 220419_s_at (numeric)],\n 7272: [7272 - 220432_s_at (numeric)],\n 7273: [7273 - 220445_s_at (numeric)],\n 7274: [7274 - 220452_x_at (numeric)],\n 7275: [7275 - 220467_at (numeric)],\n 7276: [7276 - 220477_s_at (numeric)],\n 7277: [7277 - 220495_s_at (numeric)],\n 7278: [7278 - 220525_s_at (numeric)],\n 7279: [7279 - 220526_s_at (numeric)],\n 7280: [7280 - 220532_s_at (numeric)],\n 7281: [7281 - 220541_at (numeric)],\n 7282: [7282 - 220547_s_at (numeric)],\n 7283: [7283 - 220576_at (numeric)],\n 7284: [7284 - 220591_s_at (numeric)],\n 7285: [7285 - 220595_at (numeric)],\n 7286: [7286 - 220607_x_at (numeric)],\n 7287: [7287 - 220617_s_at (numeric)],\n 7288: [7288 - 220622_at (numeric)],\n 7289: [7289 - 220625_s_at (numeric)],\n 7290: [7290 - 220642_x_at (numeric)],\n 7291: [7291 - 220643_s_at (numeric)],\n 7292: [7292 - 220647_s_at (numeric)],\n 7293: [7293 - 220668_s_at (numeric)],\n 7294: [7294 - 220723_s_at (numeric)],\n 7295: [7295 - 220724_at (numeric)],\n 7296: [7296 - 220725_x_at (numeric)],\n 7297: [7297 - 220741_s_at (numeric)],\n 7298: [7298 - 220742_s_at (numeric)],\n 7299: [7299 - 220744_s_at (numeric)],\n 7300: [7300 - 220745_at (numeric)],\n 7301: [7301 - 220750_s_at (numeric)],\n 7302: [7302 - 220753_s_at (numeric)],\n 7303: [7303 - 220755_s_at (numeric)],\n 7304: [7304 - 220760_x_at (numeric)],\n 7305: [7305 - 220761_s_at (numeric)],\n 7306: [7306 - 220765_s_at (numeric)],\n 7307: [7307 - 220796_x_at (numeric)],\n 7308: [7308 - 220856_x_at (numeric)],\n 7309: [7309 - 220864_s_at (numeric)],\n 7310: [7310 - 220890_s_at (numeric)],\n 7311: [7311 - 220892_s_at (numeric)],\n 7312: [7312 - 220917_s_at (numeric)],\n 7313: [7313 - 220922_s_at (numeric)],\n 7314: [7314 - 220924_s_at (numeric)],\n 7315: [7315 - 220925_at (numeric)],\n 7316: [7316 - 220933_s_at (numeric)],\n 7317: [7317 - 220936_s_at (numeric)],\n 7318: [7318 - 220939_s_at (numeric)],\n 7319: [7319 - 220940_at (numeric)],\n 7320: [7320 - 220942_x_at (numeric)],\n 7321: [7321 - 220945_x_at (numeric)],\n 7322: [7322 - 220948_s_at (numeric)],\n 7323: [7323 - 220952_s_at (numeric)],\n 7324: [7324 - 220954_s_at (numeric)],\n 7325: [7325 - 220955_x_at (numeric)],\n 7326: [7326 - 220960_x_at (numeric)],\n 7327: [7327 - 220964_s_at (numeric)],\n 7328: [7328 - 220966_x_at (numeric)],\n 7329: [7329 - 220980_s_at (numeric)],\n 7330: [7330 - 220988_s_at (numeric)],\n 7331: [7331 - 220990_s_at (numeric)],\n 7332: [7332 - 220994_s_at (numeric)],\n 7333: [7333 - 221003_s_at (numeric)],\n 7334: [7334 - 221004_s_at (numeric)],\n 7335: [7335 - 221011_s_at (numeric)],\n 7336: [7336 - 221012_s_at (numeric)],\n 7337: [7337 - 221016_s_at (numeric)],\n 7338: [7338 - 221019_s_at (numeric)],\n 7339: [7339 - 221024_s_at (numeric)],\n 7340: [7340 - 221027_s_at (numeric)],\n 7341: [7341 - 221031_s_at (numeric)],\n 7342: [7342 - 221045_s_at (numeric)],\n 7343: [7343 - 221059_s_at (numeric)],\n 7344: [7344 - 221094_s_at (numeric)],\n 7345: [7345 - 221123_x_at (numeric)],\n 7346: [7346 - 221139_s_at (numeric)],\n 7347: [7347 - 221185_s_at (numeric)],\n 7348: [7348 - 221207_s_at (numeric)],\n 7349: [7349 - 221209_s_at (numeric)],\n 7350: [7350 - 221210_s_at (numeric)],\n 7351: [7351 - 221215_s_at (numeric)],\n 7352: [7352 - 221230_s_at (numeric)],\n 7353: [7353 - 221245_s_at (numeric)],\n 7354: [7354 - 221253_s_at (numeric)],\n 7355: [7355 - 221261_x_at (numeric)],\n 7356: [7356 - 221263_s_at (numeric)],\n 7357: [7357 - 221267_s_at (numeric)],\n 7358: [7358 - 221269_s_at (numeric)],\n 7359: [7359 - 221381_s_at (numeric)],\n 7360: [7360 - 221419_s_at (numeric)],\n 7361: [7361 - 221424_s_at (numeric)],\n 7362: [7362 - 221427_s_at (numeric)],\n 7363: [7363 - 221428_s_at (numeric)],\n 7364: [7364 - 221434_s_at (numeric)],\n 7365: [7365 - 221447_s_at (numeric)],\n 7366: [7366 - 221449_s_at (numeric)],\n 7367: [7367 - 221452_s_at (numeric)],\n 7368: [7368 - 221471_at (numeric)],\n 7369: [7369 - 221472_at (numeric)],\n 7370: [7370 - 221473_x_at (numeric)],\n 7371: [7371 - 221474_at (numeric)],\n 7372: [7372 - 221475_s_at (numeric)],\n 7373: [7373 - 221476_s_at (numeric)],\n 7374: [7374 - 221477_s_at (numeric)],\n 7375: [7375 - 221478_at (numeric)],\n 7376: [7376 - 221479_s_at (numeric)],\n 7377: [7377 - 221481_x_at (numeric)],\n 7378: [7378 - 221482_s_at (numeric)],\n 7379: [7379 - 221483_s_at (numeric)],\n 7380: [7380 - 221484_at (numeric)],\n 7381: [7381 - 221485_at (numeric)],\n 7382: [7382 - 221486_at (numeric)],\n 7383: [7383 - 221488_s_at (numeric)],\n 7384: [7384 - 221489_s_at (numeric)],\n 7385: [7385 - 221491_x_at (numeric)],\n 7386: [7386 - 221492_s_at (numeric)],\n 7387: [7387 - 221493_at (numeric)],\n 7388: [7388 - 221494_x_at (numeric)],\n 7389: [7389 - 221495_s_at (numeric)],\n 7390: [7390 - 221499_s_at (numeric)],\n 7391: [7391 - 221500_s_at (numeric)],\n 7392: [7392 - 221501_x_at (numeric)],\n 7393: [7393 - 221502_at (numeric)],\n 7394: [7394 - 221504_s_at (numeric)],\n 7395: [7395 - 221505_at (numeric)],\n 7396: [7396 - 221506_s_at (numeric)],\n 7397: [7397 - 221509_at (numeric)],\n 7398: [7398 - 221510_s_at (numeric)],\n 7399: [7399 - 221511_x_at (numeric)],\n 7400: [7400 - 221517_s_at (numeric)],\n 7401: [7401 - 221518_s_at (numeric)],\n 7402: [7402 - 221521_s_at (numeric)],\n 7403: [7403 - 221522_at (numeric)],\n 7404: [7404 - 221523_s_at (numeric)],\n 7405: [7405 - 221524_s_at (numeric)],\n 7406: [7406 - 221526_x_at (numeric)],\n 7407: [7407 - 221530_s_at (numeric)],\n 7408: [7408 - 221531_at (numeric)],\n 7409: [7409 - 221532_s_at (numeric)],\n 7410: [7410 - 221538_s_at (numeric)],\n 7411: [7411 - 221539_at (numeric)],\n 7412: [7412 - 221540_x_at (numeric)],\n 7413: [7413 - 221541_at (numeric)],\n 7414: [7414 - 221543_s_at (numeric)],\n 7415: [7415 - 221553_at (numeric)],\n 7416: [7416 - 221558_s_at (numeric)],\n 7417: [7417 - 221561_at (numeric)],\n 7418: [7418 - 221568_s_at (numeric)],\n 7419: [7419 - 221570_s_at (numeric)],\n 7420: [7420 - 221577_x_at (numeric)],\n 7421: [7421 - 221580_s_at (numeric)],\n 7422: [7422 - 221582_at (numeric)],\n 7423: [7423 - 221584_s_at (numeric)],\n 7424: [7424 - 221588_x_at (numeric)],\n 7425: [7425 - 221589_s_at (numeric)],\n 7426: [7426 - 221593_s_at (numeric)],\n 7427: [7427 - 221606_s_at (numeric)],\n 7428: [7428 - 221607_x_at (numeric)],\n 7429: [7429 - 221610_s_at (numeric)],\n 7430: [7430 - 221613_s_at (numeric)],\n 7431: [7431 - 221619_s_at (numeric)],\n 7432: [7432 - 221620_s_at (numeric)],\n 7433: [7433 - 221622_s_at (numeric)],\n 7434: [7434 - 221637_s_at (numeric)],\n 7435: [7435 - 221641_s_at (numeric)],\n 7436: [7436 - 221645_s_at (numeric)],\n 7437: [7437 - 221646_s_at (numeric)],\n 7438: [7438 - 221647_s_at (numeric)],\n 7439: [7439 - 221651_x_at (numeric)],\n 7440: [7440 - 221652_s_at (numeric)],\n 7441: [7441 - 221654_s_at (numeric)],\n 7442: [7442 - 221664_s_at (numeric)],\n 7443: [7443 - 221666_s_at (numeric)],\n 7444: [7444 - 221667_s_at (numeric)],\n 7445: [7445 - 221669_s_at (numeric)],\n 7446: [7446 - 221671_x_at (numeric)],\n 7447: [7447 - 221675_s_at (numeric)],\n 7448: [7448 - 221676_s_at (numeric)],\n 7449: [7449 - 221677_s_at (numeric)],\n 7450: [7450 - 221685_s_at (numeric)],\n 7451: [7451 - 221688_s_at (numeric)],\n 7452: [7452 - 221689_s_at (numeric)],\n 7453: [7453 - 221690_s_at (numeric)],\n 7454: [7454 - 221691_x_at (numeric)],\n 7455: [7455 - 221692_s_at (numeric)],\n 7456: [7456 - 221698_s_at (numeric)],\n 7457: [7457 - 221699_s_at (numeric)],\n 7458: [7458 - 221700_s_at (numeric)],\n 7459: [7459 - 221702_s_at (numeric)],\n 7460: [7460 - 221711_s_at (numeric)],\n 7461: [7461 - 221718_s_at (numeric)],\n 7462: [7462 - 221725_at (numeric)],\n 7463: [7463 - 221726_at (numeric)],\n 7464: [7464 - 221727_at (numeric)],\n 7465: [7465 - 221728_x_at (numeric)],\n 7466: [7466 - 221729_at (numeric)],\n 7467: [7467 - 221730_at (numeric)],\n 7468: [7468 - 221731_x_at (numeric)],\n 7469: [7469 - 221732_at (numeric)],\n 7470: [7470 - 221739_at (numeric)],\n 7471: [7471 - 221741_s_at (numeric)],\n 7472: [7472 - 221743_at (numeric)],\n 7473: [7473 - 221747_at (numeric)],\n 7474: [7474 - 221748_s_at (numeric)],\n 7475: [7475 - 221749_at (numeric)],\n 7476: [7476 - 221750_at (numeric)],\n 7477: [7477 - 221751_at (numeric)],\n 7478: [7478 - 221760_at (numeric)],\n 7479: [7479 - 221761_at (numeric)],\n 7480: [7480 - 221763_at (numeric)],\n 7481: [7481 - 221765_at (numeric)],\n 7482: [7482 - 221766_s_at (numeric)],\n 7483: [7483 - 221767_x_at (numeric)],\n 7484: [7484 - 221768_at (numeric)],\n 7485: [7485 - 221773_at (numeric)],\n 7486: [7486 - 221775_x_at (numeric)],\n 7487: [7487 - 221776_s_at (numeric)],\n 7488: [7488 - 221778_at (numeric)],\n 7489: [7489 - 221781_s_at (numeric)],\n 7490: [7490 - 221782_at (numeric)],\n 7491: [7491 - 221788_at (numeric)],\n 7492: [7492 - 221791_s_at (numeric)],\n 7493: [7493 - 221795_at (numeric)],\n 7494: [7494 - 221796_at (numeric)],\n 7495: [7495 - 221798_x_at (numeric)],\n 7496: [7496 - 221802_s_at (numeric)],\n 7497: [7497 - 221804_s_at (numeric)],\n 7498: [7498 - 221805_at (numeric)],\n 7499: [7499 - 221806_s_at (numeric)],\n 7500: [7500 - 221808_at (numeric)],\n 7501: [7501 - 221811_at (numeric)],\n 7502: [7502 - 221814_at (numeric)],\n 7503: [7503 - 221815_at (numeric)],\n 7504: [7504 - 221816_s_at (numeric)],\n 7505: [7505 - 221823_at (numeric)],\n 7506: [7506 - 221827_at (numeric)],\n 7507: [7507 - 221829_s_at (numeric)],\n 7508: [7508 - 221830_at (numeric)],\n 7509: [7509 - 221833_at (numeric)],\n 7510: [7510 - 221834_at (numeric)],\n 7511: [7511 - 221840_at (numeric)],\n 7512: [7512 - 221841_s_at (numeric)],\n 7513: [7513 - 221842_s_at (numeric)],\n 7514: [7514 - 221844_x_at (numeric)],\n 7515: [7515 - 221847_at (numeric)],\n 7516: [7516 - 221853_s_at (numeric)],\n 7517: [7517 - 221854_at (numeric)],\n 7518: [7518 - 221864_at (numeric)],\n 7519: [7519 - 221865_at (numeric)],\n 7520: [7520 - 221870_at (numeric)],\n 7521: [7521 - 221872_at (numeric)],\n 7522: [7522 - 221874_at (numeric)],\n 7523: [7523 - 221875_x_at (numeric)],\n 7524: [7524 - 221879_at (numeric)],\n 7525: [7525 - 221880_s_at (numeric)],\n 7526: [7526 - 221882_s_at (numeric)],\n 7527: [7527 - 221884_at (numeric)],\n 7528: [7528 - 221891_x_at (numeric)],\n 7529: [7529 - 221896_s_at (numeric)],\n 7530: [7530 - 221899_at (numeric)],\n 7531: [7531 - 221911_at (numeric)],\n 7532: [7532 - 221916_at (numeric)],\n 7533: [7533 - 221918_at (numeric)],\n 7534: [7534 - 221920_s_at (numeric)],\n 7535: [7535 - 221922_at (numeric)],\n 7536: [7536 - 221923_s_at (numeric)],\n 7537: [7537 - 221927_s_at (numeric)],\n 7538: [7538 - 221931_s_at (numeric)],\n 7539: [7539 - 221932_s_at (numeric)],\n 7540: [7540 - 221933_at (numeric)],\n 7541: [7541 - 221934_s_at (numeric)],\n 7542: [7542 - 221935_s_at (numeric)],\n 7543: [7543 - 221937_at (numeric)],\n 7544: [7544 - 221942_s_at (numeric)],\n 7545: [7545 - 221943_x_at (numeric)],\n 7546: [7546 - 221946_at (numeric)],\n 7547: [7547 - 221950_at (numeric)],\n 7548: [7548 - 221952_x_at (numeric)],\n 7549: [7549 - 221958_s_at (numeric)],\n 7550: [7550 - 221963_x_at (numeric)],\n 7551: [7551 - 221970_s_at (numeric)],\n 7552: [7552 - 221971_x_at (numeric)],\n 7553: [7553 - 221972_s_at (numeric)],\n 7554: [7554 - 221974_at (numeric)],\n 7555: [7555 - 221984_s_at (numeric)],\n 7556: [7556 - 221989_at (numeric)],\n 7557: [7557 - 221992_at (numeric)],\n 7558: [7558 - 222000_at (numeric)],\n 7559: [7559 - 222001_x_at (numeric)],\n 7560: [7560 - 222016_s_at (numeric)],\n 7561: [7561 - 222021_x_at (numeric)],\n 7562: [7562 - 222024_s_at (numeric)],\n 7563: [7563 - 222035_s_at (numeric)],\n 7564: [7564 - 222036_s_at (numeric)],\n 7565: [7565 - 222039_at (numeric)],\n 7566: [7566 - 222043_at (numeric)],\n 7567: [7567 - 222047_s_at (numeric)],\n 7568: [7568 - 222065_s_at (numeric)],\n 7569: [7569 - 222067_x_at (numeric)],\n 7570: [7570 - 222068_s_at (numeric)],\n 7571: [7571 - 222073_at (numeric)],\n 7572: [7572 - 222077_s_at (numeric)],\n 7573: [7573 - 222088_s_at (numeric)],\n 7574: [7574 - 222101_s_at (numeric)],\n 7575: [7575 - 222103_at (numeric)],\n 7576: [7576 - 222104_x_at (numeric)],\n 7577: [7577 - 222108_at (numeric)],\n 7578: [7578 - 222116_s_at (numeric)],\n 7579: [7579 - 222125_s_at (numeric)],\n 7580: [7580 - 222127_s_at (numeric)],\n 7581: [7581 - 222138_s_at (numeric)],\n 7582: [7582 - 222140_s_at (numeric)],\n 7583: [7583 - 222146_s_at (numeric)],\n 7584: [7584 - 222150_s_at (numeric)],\n 7585: [7585 - 222154_s_at (numeric)],\n 7586: [7586 - 222158_s_at (numeric)],\n 7587: [7587 - 222162_s_at (numeric)],\n 7588: [7588 - 222164_at (numeric)],\n 7589: [7589 - 222168_at (numeric)],\n 7590: [7590 - 222175_s_at (numeric)],\n 7591: [7591 - 222182_s_at (numeric)],\n 7592: [7592 - 222187_x_at (numeric)],\n 7593: [7593 - 222200_s_at (numeric)],\n 7594: [7594 - 222207_x_at (numeric)],\n 7595: [7595 - 222209_s_at (numeric)],\n 7596: [7596 - 222212_s_at (numeric)],\n 7597: [7597 - 222216_s_at (numeric)],\n 7598: [7598 - 222229_x_at (numeric)],\n 7599: [7599 - 222230_s_at (numeric)],\n 7600: [7600 - 222231_s_at (numeric)],\n 7601: [7601 - 222235_s_at (numeric)],\n 7602: [7602 - 222240_s_at (numeric)],\n 7603: [7603 - 222243_s_at (numeric)],\n 7604: [7604 - 222244_s_at (numeric)],\n 7605: [7605 - 222257_s_at (numeric)],\n 7606: [7606 - 222258_s_at (numeric)],\n 7607: [7607 - 222266_at (numeric)],\n 7608: [7608 - 222271_at (numeric)],\n 7609: [7609 - 222274_at (numeric)],\n 7610: [7610 - 222277_at (numeric)],\n 7611: [7611 - 222281_s_at (numeric)],\n 7612: [7612 - 222288_at (numeric)],\n 7613: [7613 - 222291_at (numeric)],\n 7614: [7614 - 222294_s_at (numeric)],\n 7615: [7615 - 222303_at (numeric)],\n 7616: [7616 - 222321_at (numeric)],\n 7617: [7617 - 222334_at (numeric)],\n 7618: [7618 - 222357_at (numeric)],\n 7619: [7619 - 222368_at (numeric)],\n 7620: [7620 - 222369_at (numeric)],\n 7621: [7621 - 222371_at (numeric)],\n 7622: [7622 - 222372_at (numeric)],\n 7623: [7623 - 222380_s_at (numeric)],\n 7624: [7624 - 222385_x_at (numeric)],\n 7625: [7625 - 222386_s_at (numeric)],\n 7626: [7626 - 222387_s_at (numeric)],\n 7627: [7627 - 222388_s_at (numeric)],\n 7628: [7628 - 222389_s_at (numeric)],\n 7629: [7629 - 222390_at (numeric)],\n 7630: [7630 - 222391_at (numeric)],\n 7631: [7631 - 222392_x_at (numeric)],\n 7632: [7632 - 222393_s_at (numeric)],\n 7633: [7633 - 222395_s_at (numeric)],\n 7634: [7634 - 222396_at (numeric)],\n 7635: [7635 - 222398_s_at (numeric)],\n 7636: [7636 - 222399_s_at (numeric)],\n 7637: [7637 - 222400_s_at (numeric)],\n 7638: [7638 - 222401_s_at (numeric)],\n 7639: [7639 - 222404_x_at (numeric)],\n 7640: [7640 - 222405_at (numeric)],\n 7641: [7641 - 222406_s_at (numeric)],\n 7642: [7642 - 222407_s_at (numeric)],\n 7643: [7643 - 222408_s_at (numeric)],\n 7644: [7644 - 222409_at (numeric)],\n 7645: [7645 - 222410_s_at (numeric)],\n 7646: [7646 - 222411_s_at (numeric)],\n 7647: [7647 - 222413_s_at (numeric)],\n 7648: [7648 - 222414_at (numeric)],\n 7649: [7649 - 222415_at (numeric)],\n 7650: [7650 - 222416_at (numeric)],\n 7651: [7651 - 222417_s_at (numeric)],\n 7652: [7652 - 222420_s_at (numeric)],\n 7653: [7653 - 222421_at (numeric)],\n 7654: [7654 - 222423_at (numeric)],\n 7655: [7655 - 222424_s_at (numeric)],\n 7656: [7656 - 222427_s_at (numeric)],\n 7657: [7657 - 222428_s_at (numeric)],\n 7658: [7658 - 222430_s_at (numeric)],\n 7659: [7659 - 222431_at (numeric)],\n 7660: [7660 - 222432_s_at (numeric)],\n 7661: [7661 - 222433_at (numeric)],\n 7662: [7662 - 222435_s_at (numeric)],\n 7663: [7663 - 222436_s_at (numeric)],\n 7664: [7664 - 222437_s_at (numeric)],\n 7665: [7665 - 222441_x_at (numeric)],\n 7666: [7666 - 222442_s_at (numeric)],\n 7667: [7667 - 222443_s_at (numeric)],\n 7668: [7668 - 222444_at (numeric)],\n 7669: [7669 - 222445_at (numeric)],\n 7670: [7670 - 222446_s_at (numeric)],\n 7671: [7671 - 222448_s_at (numeric)],\n 7672: [7672 - 222449_at (numeric)],\n 7673: [7673 - 222450_at (numeric)],\n 7674: [7674 - 222451_s_at (numeric)],\n 7675: [7675 - 222453_at (numeric)],\n 7676: [7676 - 222457_s_at (numeric)],\n 7677: [7677 - 222460_s_at (numeric)],\n 7678: [7678 - 222464_s_at (numeric)],\n 7679: [7679 - 222465_at (numeric)],\n 7680: [7680 - 222467_s_at (numeric)],\n 7681: [7681 - 222468_at (numeric)],\n 7682: [7682 - 222472_at (numeric)],\n 7683: [7683 - 222474_s_at (numeric)],\n 7684: [7684 - 222477_s_at (numeric)],\n 7685: [7685 - 222484_s_at (numeric)],\n 7686: [7686 - 222486_s_at (numeric)],\n 7687: [7687 - 222488_s_at (numeric)],\n 7688: [7688 - 222489_s_at (numeric)],\n 7689: [7689 - 222494_at (numeric)],\n 7690: [7690 - 222495_at (numeric)],\n 7691: [7691 - 222496_s_at (numeric)],\n 7692: [7692 - 222497_x_at (numeric)],\n 7693: [7693 - 222500_at (numeric)],\n 7694: [7694 - 222512_at (numeric)],\n 7695: [7695 - 222513_s_at (numeric)],\n 7696: [7696 - 222514_at (numeric)],\n 7697: [7697 - 222516_at (numeric)],\n 7698: [7698 - 222519_s_at (numeric)],\n 7699: [7699 - 222528_s_at (numeric)],\n 7700: [7700 - 222529_at (numeric)],\n 7701: [7701 - 222530_s_at (numeric)],\n 7702: [7702 - 222533_at (numeric)],\n 7703: [7703 - 222543_at (numeric)],\n 7704: [7704 - 222544_s_at (numeric)],\n 7705: [7705 - 222549_at (numeric)],\n 7706: [7706 - 222550_at (numeric)],\n 7707: [7707 - 222552_at (numeric)],\n 7708: [7708 - 222553_x_at (numeric)],\n 7709: [7709 - 222557_at (numeric)],\n 7710: [7710 - 222559_s_at (numeric)],\n 7711: [7711 - 222572_at (numeric)],\n 7712: [7712 - 222574_s_at (numeric)],\n 7713: [7713 - 222580_at (numeric)],\n 7714: [7714 - 222581_at (numeric)],\n 7715: [7715 - 222587_s_at (numeric)],\n 7716: [7716 - 222592_s_at (numeric)],\n 7717: [7717 - 222602_at (numeric)],\n 7718: [7718 - 222603_at (numeric)],\n 7719: [7719 - 222605_at (numeric)],\n 7720: [7720 - 222606_at (numeric)],\n 7721: [7721 - 222608_s_at (numeric)],\n 7722: [7722 - 222619_at (numeric)],\n 7723: [7723 - 222620_s_at (numeric)],\n 7724: [7724 - 222621_at (numeric)],\n 7725: [7725 - 222623_s_at (numeric)],\n 7726: [7726 - 222627_at (numeric)],\n 7727: [7727 - 222633_at (numeric)],\n 7728: [7728 - 222640_at (numeric)],\n 7729: [7729 - 222646_s_at (numeric)],\n 7730: [7730 - 222651_s_at (numeric)],\n 7731: [7731 - 222654_at (numeric)],\n 7732: [7732 - 222662_at (numeric)],\n 7733: [7733 - 222667_s_at (numeric)],\n 7734: [7734 - 222669_s_at (numeric)],\n 7735: [7735 - 222670_s_at (numeric)],\n 7736: [7736 - 222673_x_at (numeric)],\n 7737: [7737 - 222680_s_at (numeric)],\n 7738: [7738 - 222683_at (numeric)],\n 7739: [7739 - 222688_at (numeric)],\n 7740: [7740 - 222691_at (numeric)],\n 7741: [7741 - 222692_s_at (numeric)],\n 7742: [7742 - 222696_at (numeric)],\n 7743: [7743 - 222700_at (numeric)],\n 7744: [7744 - 222701_s_at (numeric)],\n 7745: [7745 - 222708_s_at (numeric)],\n 7746: [7746 - 222714_s_at (numeric)],\n 7747: [7747 - 222717_at (numeric)],\n 7748: [7748 - 222719_s_at (numeric)],\n 7749: [7749 - 222722_at (numeric)],\n 7750: [7750 - 222728_s_at (numeric)],\n 7751: [7751 - 222730_s_at (numeric)],\n 7752: [7752 - 222731_at (numeric)],\n 7753: [7753 - 222735_at (numeric)],\n 7754: [7754 - 222737_s_at (numeric)],\n 7755: [7755 - 222740_at (numeric)],\n 7756: [7756 - 222742_s_at (numeric)],\n 7757: [7757 - 222750_s_at (numeric)],\n 7758: [7758 - 222753_s_at (numeric)],\n 7759: [7759 - 222754_at (numeric)],\n 7760: [7760 - 222759_at (numeric)],\n 7761: [7761 - 222760_at (numeric)],\n 7762: [7762 - 222763_s_at (numeric)],\n 7763: [7763 - 222764_at (numeric)],\n 7764: [7764 - 222771_s_at (numeric)],\n 7765: [7765 - 222784_at (numeric)],\n 7766: [7766 - 222787_s_at (numeric)],\n 7767: [7767 - 222790_s_at (numeric)],\n 7768: [7768 - 222791_at (numeric)],\n 7769: [7769 - 222794_x_at (numeric)],\n 7770: [7770 - 222803_at (numeric)],\n 7771: [7771 - 222808_at (numeric)],\n 7772: [7772 - 222810_s_at (numeric)],\n 7773: [7773 - 222811_at (numeric)],\n 7774: [7774 - 222816_s_at (numeric)],\n 7775: [7775 - 222819_at (numeric)],\n 7776: [7776 - 222826_at (numeric)],\n 7777: [7777 - 222827_s_at (numeric)],\n 7778: [7778 - 222830_at (numeric)],\n 7779: [7779 - 222832_s_at (numeric)],\n 7780: [7780 - 222835_at (numeric)],\n 7781: [7781 - 222838_at (numeric)],\n 7782: [7782 - 222843_at (numeric)],\n 7783: [7783 - 222845_x_at (numeric)],\n 7784: [7784 - 222847_s_at (numeric)],\n 7785: [7785 - 222848_at (numeric)],\n 7786: [7786 - 222850_s_at (numeric)],\n 7787: [7787 - 222853_at (numeric)],\n 7788: [7788 - 222870_s_at (numeric)],\n 7789: [7789 - 222872_x_at (numeric)],\n 7790: [7790 - 222875_at (numeric)],\n 7791: [7791 - 222877_at (numeric)],\n 7792: [7792 - 222885_at (numeric)],\n 7793: [7793 - 222890_at (numeric)],\n 7794: [7794 - 222891_s_at (numeric)],\n 7795: [7795 - 222895_s_at (numeric)],\n 7796: [7796 - 222904_s_at (numeric)],\n 7797: [7797 - 222918_at (numeric)],\n 7798: [7798 - 222921_s_at (numeric)],\n 7799: [7799 - 222925_at (numeric)],\n 7800: [7800 - 222927_s_at (numeric)],\n 7801: [7801 - 222938_x_at (numeric)],\n 7802: [7802 - 222958_s_at (numeric)],\n 7803: [7803 - 222975_s_at (numeric)],\n 7804: [7804 - 222976_s_at (numeric)],\n 7805: [7805 - 222977_at (numeric)],\n 7806: [7806 - 222978_at (numeric)],\n 7807: [7807 - 222979_s_at (numeric)],\n 7808: [7808 - 222980_at (numeric)],\n 7809: [7809 - 222981_s_at (numeric)],\n 7810: [7810 - 222982_x_at (numeric)],\n 7811: [7811 - 222983_s_at (numeric)],\n 7812: [7812 - 222984_at (numeric)],\n 7813: [7813 - 222985_at (numeric)],\n 7814: [7814 - 222986_s_at (numeric)],\n 7815: [7815 - 222987_s_at (numeric)],\n 7816: [7816 - 222988_s_at (numeric)],\n 7817: [7817 - 222990_at (numeric)],\n 7818: [7818 - 222992_s_at (numeric)],\n 7819: [7819 - 222993_at (numeric)],\n 7820: [7820 - 222994_at (numeric)],\n 7821: [7821 - 222995_s_at (numeric)],\n 7822: [7822 - 222996_s_at (numeric)],\n 7823: [7823 - 222997_s_at (numeric)],\n 7824: [7824 - 222999_s_at (numeric)],\n 7825: [7825 - 223000_s_at (numeric)],\n 7826: [7826 - 223001_at (numeric)],\n 7827: [7827 - 223002_s_at (numeric)],\n 7828: [7828 - 223003_at (numeric)],\n 7829: [7829 - 223004_s_at (numeric)],\n 7830: [7830 - 223006_s_at (numeric)],\n 7831: [7831 - 223007_s_at (numeric)],\n 7832: [7832 - 223008_s_at (numeric)],\n 7833: [7833 - 223009_at (numeric)],\n 7834: [7834 - 223010_s_at (numeric)],\n 7835: [7835 - 223011_s_at (numeric)],\n 7836: [7836 - 223012_at (numeric)],\n 7837: [7837 - 223013_at (numeric)],\n 7838: [7838 - 223014_at (numeric)],\n 7839: [7839 - 223015_at (numeric)],\n 7840: [7840 - 223016_x_at (numeric)],\n 7841: [7841 - 223017_at (numeric)],\n 7842: [7842 - 223018_at (numeric)],\n 7843: [7843 - 223019_at (numeric)],\n 7844: [7844 - 223020_at (numeric)],\n 7845: [7845 - 223021_x_at (numeric)],\n 7846: [7846 - 223024_at (numeric)],\n 7847: [7847 - 223026_s_at (numeric)],\n 7848: [7848 - 223027_at (numeric)],\n 7849: [7849 - 223028_s_at (numeric)],\n 7850: [7850 - 223032_x_at (numeric)],\n 7851: [7851 - 223034_s_at (numeric)],\n 7852: [7852 - 223035_s_at (numeric)],\n 7853: [7853 - 223037_at (numeric)],\n 7854: [7854 - 223038_s_at (numeric)],\n 7855: [7855 - 223039_at (numeric)],\n 7856: [7856 - 223040_at (numeric)],\n 7857: [7857 - 223042_s_at (numeric)],\n 7858: [7858 - 223043_at (numeric)],\n 7859: [7859 - 223044_at (numeric)],\n 7860: [7860 - 223046_at (numeric)],\n 7861: [7861 - 223047_at (numeric)],\n 7862: [7862 - 223049_at (numeric)],\n 7863: [7863 - 223051_at (numeric)],\n 7864: [7864 - 223054_at (numeric)],\n 7865: [7865 - 223058_at (numeric)],\n 7866: [7866 - 223059_s_at (numeric)],\n 7867: [7867 - 223060_at (numeric)],\n 7868: [7868 - 223062_s_at (numeric)],\n 7869: [7869 - 223063_at (numeric)],\n 7870: [7870 - 223064_at (numeric)],\n 7871: [7871 - 223065_s_at (numeric)],\n 7872: [7872 - 223066_at (numeric)],\n 7873: [7873 - 223067_at (numeric)],\n 7874: [7874 - 223068_at (numeric)],\n 7875: [7875 - 223070_at (numeric)],\n 7876: [7876 - 223071_at (numeric)],\n 7877: [7877 - 223073_at (numeric)],\n 7878: [7878 - 223075_s_at (numeric)],\n 7879: [7879 - 223077_at (numeric)],\n 7880: [7880 - 223081_at (numeric)],\n 7881: [7881 - 223082_at (numeric)],\n 7882: [7882 - 223084_s_at (numeric)],\n 7883: [7883 - 223085_at (numeric)],\n 7884: [7884 - 223086_x_at (numeric)],\n 7885: [7885 - 223087_at (numeric)],\n 7886: [7886 - 223088_x_at (numeric)],\n 7887: [7887 - 223090_x_at (numeric)],\n 7888: [7888 - 223092_at (numeric)],\n 7889: [7889 - 223093_at (numeric)],\n 7890: [7890 - 223094_s_at (numeric)],\n 7891: [7891 - 223096_at (numeric)],\n 7892: [7892 - 223098_s_at (numeric)],\n 7893: [7893 - 223099_s_at (numeric)],\n 7894: [7894 - 223100_s_at (numeric)],\n 7895: [7895 - 223103_at (numeric)],\n 7896: [7896 - 223104_at (numeric)],\n 7897: [7897 - 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[8306 - 224711_at (numeric)],\n 8307: [8307 - 224714_at (numeric)],\n 8308: [8308 - 224715_at (numeric)],\n 8309: [8309 - 224717_s_at (numeric)],\n 8310: [8310 - 224719_s_at (numeric)],\n 8311: [8311 - 224720_at (numeric)],\n 8312: [8312 - 224721_at (numeric)],\n 8313: [8313 - 224724_at (numeric)],\n 8314: [8314 - 224726_at (numeric)],\n 8315: [8315 - 224727_at (numeric)],\n 8316: [8316 - 224729_s_at (numeric)],\n 8317: [8317 - 224731_at (numeric)],\n 8318: [8318 - 224732_at (numeric)],\n 8319: [8319 - 224733_at (numeric)],\n 8320: [8320 - 224734_at (numeric)],\n 8321: [8321 - 224735_at (numeric)],\n 8322: [8322 - 224736_at (numeric)],\n 8323: [8323 - 224738_x_at (numeric)],\n 8324: [8324 - 224739_at (numeric)],\n 8325: [8325 - 224740_at (numeric)],\n 8326: [8326 - 224741_x_at (numeric)],\n 8327: [8327 - 224742_at (numeric)],\n 8328: [8328 - 224743_at (numeric)],\n 8329: [8329 - 224744_at (numeric)],\n 8330: [8330 - 224746_at (numeric)],\n 8331: [8331 - 224747_at (numeric)],\n 8332: [8332 - 224748_at (numeric)],\n 8333: [8333 - 224751_at (numeric)],\n 8334: [8334 - 224752_at (numeric)],\n 8335: [8335 - 224754_at (numeric)],\n 8336: [8336 - 224755_at (numeric)],\n 8337: [8337 - 224756_s_at (numeric)],\n 8338: [8338 - 224759_s_at (numeric)],\n 8339: [8339 - 224761_at (numeric)],\n 8340: [8340 - 224762_at (numeric)],\n 8341: [8341 - 224763_at (numeric)],\n 8342: [8342 - 224764_at (numeric)],\n 8343: [8343 - 224765_at (numeric)],\n 8344: [8344 - 224768_at (numeric)],\n 8345: [8345 - 224769_at (numeric)],\n 8346: [8346 - 224772_at (numeric)],\n 8347: [8347 - 224777_s_at (numeric)],\n 8348: [8348 - 224778_s_at (numeric)],\n 8349: [8349 - 224779_s_at (numeric)],\n 8350: [8350 - 224781_s_at (numeric)],\n 8351: [8351 - 224782_at (numeric)],\n 8352: [8352 - 224784_at (numeric)],\n 8353: [8353 - 224786_at (numeric)],\n 8354: [8354 - 224787_s_at (numeric)],\n 8355: [8355 - 224788_at (numeric)],\n 8356: [8356 - 224791_at (numeric)],\n 8357: [8357 - 224793_s_at (numeric)],\n 8358: [8358 - 224795_x_at (numeric)],\n 8359: [8359 - 224796_at (numeric)],\n 8360: [8360 - 224797_at (numeric)],\n 8361: [8361 - 224799_at (numeric)],\n 8362: [8362 - 224800_at (numeric)],\n 8363: [8363 - 224802_at (numeric)],\n 8364: [8364 - 224806_at (numeric)],\n 8365: [8365 - 224810_s_at (numeric)],\n 8366: [8366 - 224811_at (numeric)],\n 8367: [8367 - 224812_at (numeric)],\n 8368: [8368 - 224813_at (numeric)],\n 8369: [8369 - 224815_at (numeric)],\n 8370: [8370 - 224817_at (numeric)],\n 8371: [8371 - 224818_at (numeric)],\n 8372: [8372 - 224819_at (numeric)],\n 8373: [8373 - 224820_at (numeric)],\n 8374: [8374 - 224821_at (numeric)],\n 8375: [8375 - 224822_at (numeric)],\n 8376: [8376 - 224823_at (numeric)],\n 8377: [8377 - 224826_at (numeric)],\n 8378: [8378 - 224827_at (numeric)],\n 8379: [8379 - 224830_at (numeric)],\n 8380: [8380 - 224832_at (numeric)],\n 8381: [8381 - 224833_at (numeric)],\n 8382: [8382 - 224835_at (numeric)],\n 8383: [8383 - 224836_at (numeric)],\n 8384: [8384 - 224837_at (numeric)],\n 8385: [8385 - 224838_at (numeric)],\n 8386: [8386 - 224840_at (numeric)],\n 8387: [8387 - 224841_x_at (numeric)],\n 8388: [8388 - 224842_at (numeric)],\n 8389: [8389 - 224844_at (numeric)],\n 8390: [8390 - 224847_at (numeric)],\n 8391: [8391 - 224849_at (numeric)],\n 8392: [8392 - 224850_at (numeric)],\n 8393: [8393 - 224851_at (numeric)],\n 8394: [8394 - 224856_at (numeric)],\n 8395: [8395 - 224858_at (numeric)],\n 8396: [8396 - 224859_at (numeric)],\n 8397: [8397 - 224861_at (numeric)],\n 8398: [8398 - 224862_at (numeric)],\n 8399: [8399 - 224866_at (numeric)],\n 8400: [8400 - 224867_at (numeric)],\n 8401: [8401 - 224870_at (numeric)],\n 8402: [8402 - 224874_at (numeric)],\n 8403: [8403 - 224876_at (numeric)],\n 8404: [8404 - 224879_at (numeric)],\n 8405: [8405 - 224880_at (numeric)],\n 8406: [8406 - 224885_s_at (numeric)],\n 8407: [8407 - 224889_at (numeric)],\n 8408: [8408 - 224891_at (numeric)],\n 8409: [8409 - 224892_at (numeric)],\n 8410: [8410 - 224893_at (numeric)],\n 8411: [8411 - 224894_at (numeric)],\n 8412: [8412 - 224895_at (numeric)],\n 8413: [8413 - 224897_at (numeric)],\n 8414: [8414 - 224899_s_at (numeric)],\n 8415: [8415 - 224900_at (numeric)],\n 8416: [8416 - 224901_at (numeric)],\n 8417: [8417 - 224902_at (numeric)],\n 8418: [8418 - 224903_at (numeric)],\n 8419: [8419 - 224906_at (numeric)],\n 8420: [8420 - 224911_s_at (numeric)],\n 8421: [8421 - 224913_s_at (numeric)],\n 8422: [8422 - 224914_s_at (numeric)],\n 8423: [8423 - 224915_x_at (numeric)],\n 8424: [8424 - 224916_at (numeric)],\n 8425: [8425 - 224917_at (numeric)],\n 8426: [8426 - 224918_x_at (numeric)],\n 8427: [8427 - 224919_at (numeric)],\n 8428: [8428 - 224927_at (numeric)],\n 8429: [8429 - 224928_at (numeric)],\n 8430: [8430 - 224929_at (numeric)],\n 8431: [8431 - 224930_x_at (numeric)],\n 8432: [8432 - 224932_at (numeric)],\n 8433: [8433 - 224933_s_at (numeric)],\n 8434: [8434 - 224934_at (numeric)],\n 8435: [8435 - 224935_at (numeric)],\n 8436: [8436 - 224936_at (numeric)],\n 8437: [8437 - 224937_at (numeric)],\n 8438: [8438 - 224939_at (numeric)],\n 8439: [8439 - 224940_s_at (numeric)],\n 8440: [8440 - 224944_at (numeric)],\n 8441: [8441 - 224948_at (numeric)],\n 8442: [8442 - 224949_at (numeric)],\n 8443: [8443 - 224950_at (numeric)],\n 8444: [8444 - 224954_at (numeric)],\n 8445: [8445 - 224955_at (numeric)],\n 8446: [8446 - 224957_at (numeric)],\n 8447: [8447 - 224959_at (numeric)],\n 8448: [8448 - 224960_at (numeric)],\n 8449: [8449 - 224961_at (numeric)],\n 8450: [8450 - 224963_at (numeric)],\n 8451: [8451 - 224964_s_at (numeric)],\n 8452: [8452 - 224967_at (numeric)],\n 8453: [8453 - 224968_at (numeric)],\n 8454: [8454 - 224970_at (numeric)],\n 8455: [8455 - 224971_at (numeric)],\n 8456: [8456 - 224972_at (numeric)],\n 8457: [8457 - 224975_at (numeric)],\n 8458: [8458 - 224976_at (numeric)],\n 8459: [8459 - 224981_at (numeric)],\n 8460: [8460 - 224983_at (numeric)],\n 8461: [8461 - 224984_at (numeric)],\n 8462: [8462 - 224985_at (numeric)],\n 8463: [8463 - 224986_s_at (numeric)],\n 8464: [8464 - 224989_at (numeric)],\n 8465: [8465 - 224990_at (numeric)],\n 8466: [8466 - 224995_at (numeric)],\n 8467: [8467 - 224996_at (numeric)],\n 8468: [8468 - 224997_x_at (numeric)],\n 8469: [8469 - 224998_at (numeric)],\n 8470: [8470 - 224999_at (numeric)],\n 8471: [8471 - 225000_at (numeric)],\n 8472: [8472 - 225001_at (numeric)],\n 8473: [8473 - 225002_s_at (numeric)],\n 8474: [8474 - 225003_at (numeric)],\n 8475: [8475 - 225004_at (numeric)],\n 8476: [8476 - 225005_at (numeric)],\n 8477: [8477 - 225006_x_at (numeric)],\n 8478: [8478 - 225007_at (numeric)],\n 8479: [8479 - 225009_at (numeric)],\n 8480: [8480 - 225010_at (numeric)],\n 8481: [8481 - 225011_at (numeric)],\n 8482: [8482 - 225014_at (numeric)],\n 8483: [8483 - 225016_at (numeric)],\n 8484: [8484 - 225017_at (numeric)],\n 8485: [8485 - 225019_at (numeric)],\n 8486: [8486 - 225021_at (numeric)],\n 8487: [8487 - 225029_at (numeric)],\n 8488: [8488 - 225030_at (numeric)],\n 8489: [8489 - 225032_at (numeric)],\n 8490: [8490 - 225035_x_at (numeric)],\n 8491: [8491 - 225036_at (numeric)],\n 8492: [8492 - 225040_s_at (numeric)],\n 8493: [8493 - 225041_at (numeric)],\n 8494: [8494 - 225044_at (numeric)],\n 8495: [8495 - 225045_at (numeric)],\n 8496: [8496 - 225046_at (numeric)],\n 8497: [8497 - 225048_at (numeric)],\n 8498: [8498 - 225049_at (numeric)],\n 8499: [8499 - 225050_at (numeric)],\n 8500: [8500 - 225051_at (numeric)],\n 8501: [8501 - 225053_at (numeric)],\n 8502: [8502 - 225056_at (numeric)],\n 8503: [8503 - 225059_at (numeric)],\n 8504: [8504 - 225060_at (numeric)],\n 8505: [8505 - 225061_at (numeric)],\n 8506: [8506 - 225062_at (numeric)],\n 8507: [8507 - 225064_at (numeric)],\n 8508: [8508 - 225065_x_at (numeric)],\n 8509: [8509 - 225068_at (numeric)],\n 8510: [8510 - 225070_at (numeric)],\n 8511: [8511 - 225071_at (numeric)],\n 8512: [8512 - 225073_at (numeric)],\n 8513: [8513 - 225074_at (numeric)],\n 8514: [8514 - 225078_at (numeric)],\n 8515: [8515 - 225079_at (numeric)],\n 8516: [8516 - 225080_at (numeric)],\n 8517: [8517 - 225081_s_at (numeric)],\n 8518: [8518 - 225082_at (numeric)],\n 8519: [8519 - 225083_at (numeric)],\n 8520: [8520 - 225084_at (numeric)],\n 8521: [8521 - 225086_at (numeric)],\n 8522: [8522 - 225087_at (numeric)],\n 8523: [8523 - 225092_at (numeric)],\n 8524: [8524 - 225093_at (numeric)],\n 8525: [8525 - 225096_at (numeric)],\n 8526: [8526 - 225097_at (numeric)],\n 8527: [8527 - 225098_at (numeric)],\n 8528: [8528 - 225101_s_at (numeric)],\n 8529: [8529 - 225102_at (numeric)],\n 8530: [8530 - 225105_at (numeric)],\n 8531: [8531 - 225107_at (numeric)],\n 8532: [8532 - 225112_at (numeric)],\n 8533: [8533 - 225114_at (numeric)],\n 8534: [8534 - 225115_at (numeric)],\n 8535: [8535 - 225116_at (numeric)],\n 8536: [8536 - 225117_at (numeric)],\n 8537: [8537 - 225120_at (numeric)],\n 8538: [8538 - 225123_at (numeric)],\n 8539: [8539 - 225125_at (numeric)],\n 8540: [8540 - 225127_at (numeric)],\n 8541: [8541 - 225129_at (numeric)],\n 8542: [8542 - 225132_at (numeric)],\n 8543: [8543 - 225133_at (numeric)],\n 8544: [8544 - 225136_at (numeric)],\n 8545: [8545 - 225144_at (numeric)],\n 8546: [8546 - 225147_at (numeric)],\n 8547: [8547 - 225148_at (numeric)],\n 8548: [8548 - 225153_at (numeric)],\n 8549: [8549 - 225154_at (numeric)],\n 8550: [8550 - 225155_at (numeric)],\n 8551: [8551 - 225159_s_at (numeric)],\n 8552: [8552 - 225160_x_at (numeric)],\n 8553: [8553 - 225162_at (numeric)],\n 8554: [8554 - 225164_s_at (numeric)],\n 8555: [8555 - 225165_at (numeric)],\n 8556: [8556 - 225171_at (numeric)],\n 8557: [8557 - 225174_at (numeric)],\n 8558: [8558 - 225176_at (numeric)],\n 8559: [8559 - 225177_at (numeric)],\n 8560: [8560 - 225178_at (numeric)],\n 8561: [8561 - 225179_at (numeric)],\n 8562: [8562 - 225180_at (numeric)],\n 8563: [8563 - 225182_at (numeric)],\n 8564: [8564 - 225183_at (numeric)],\n 8565: [8565 - 225188_at (numeric)],\n 8566: [8566 - 225189_s_at (numeric)],\n 8567: [8567 - 225190_x_at (numeric)],\n 8568: [8568 - 225191_at (numeric)],\n 8569: [8569 - 225194_at (numeric)],\n 8570: [8570 - 225196_s_at (numeric)],\n 8571: [8571 - 225198_at (numeric)],\n 8572: [8572 - 225199_at (numeric)],\n 8573: [8573 - 225201_s_at (numeric)],\n 8574: [8574 - 225202_at (numeric)],\n 8575: [8575 - 225204_at (numeric)],\n 8576: [8576 - 225205_at (numeric)],\n 8577: [8577 - 225207_at (numeric)],\n 8578: [8578 - 225210_s_at (numeric)],\n 8579: [8579 - 225213_at (numeric)],\n 8580: [8580 - 225219_at (numeric)],\n 8581: [8581 - 225220_at (numeric)],\n 8582: [8582 - 225221_at (numeric)],\n 8583: [8583 - 225222_at (numeric)],\n 8584: [8584 - 225223_at (numeric)],\n 8585: [8585 - 225224_at (numeric)],\n 8586: [8586 - 225225_at (numeric)],\n 8587: [8587 - 225227_at (numeric)],\n 8588: [8588 - 225229_at (numeric)],\n 8589: [8589 - 225230_at (numeric)],\n 8590: [8590 - 225232_at (numeric)],\n 8591: [8591 - 225236_at (numeric)],\n 8592: [8592 - 225239_at (numeric)],\n 8593: [8593 - 225240_s_at (numeric)],\n 8594: [8594 - 225241_at (numeric)],\n 8595: [8595 - 225242_s_at (numeric)],\n 8596: [8596 - 225243_s_at (numeric)],\n 8597: [8597 - 225245_x_at (numeric)],\n 8598: [8598 - 225252_at (numeric)],\n 8599: [8599 - 225256_at (numeric)],\n 8600: [8600 - 225258_at (numeric)],\n 8601: [8601 - 225260_s_at (numeric)],\n 8602: [8602 - 225261_x_at (numeric)],\n 8603: [8603 - 225262_at (numeric)],\n 8604: [8604 - 225263_at (numeric)],\n 8605: [8605 - 225264_at (numeric)],\n 8606: [8606 - 225265_at (numeric)],\n 8607: [8607 - 225266_at (numeric)],\n 8608: [8608 - 225267_at (numeric)],\n 8609: [8609 - 225268_at (numeric)],\n 8610: [8610 - 225269_s_at (numeric)],\n 8611: [8611 - 225270_at (numeric)],\n 8612: [8612 - 225272_at (numeric)],\n 8613: [8613 - 225273_at (numeric)],\n 8614: [8614 - 225274_at (numeric)],\n 8615: [8615 - 225275_at (numeric)],\n 8616: [8616 - 225276_at (numeric)],\n 8617: [8617 - 225278_at (numeric)],\n 8618: [8618 - 225280_x_at (numeric)],\n 8619: [8619 - 225281_at (numeric)],\n 8620: [8620 - 225283_at (numeric)],\n 8621: [8621 - 225284_at (numeric)],\n 8622: [8622 - 225285_at (numeric)],\n 8623: [8623 - 225286_at (numeric)],\n 8624: [8624 - 225288_at (numeric)],\n 8625: [8625 - 225289_at (numeric)],\n 8626: [8626 - 225290_at (numeric)],\n 8627: [8627 - 225291_at (numeric)],\n 8628: [8628 - 225293_at (numeric)],\n 8629: [8629 - 225294_s_at (numeric)],\n 8630: [8630 - 225295_at (numeric)],\n 8631: [8631 - 225297_at (numeric)],\n 8632: [8632 - 225298_at (numeric)],\n 8633: [8633 - 225301_s_at (numeric)],\n 8634: [8634 - 225304_s_at (numeric)],\n 8635: [8635 - 225305_at (numeric)],\n 8636: [8636 - 225306_s_at (numeric)],\n 8637: [8637 - 225307_at (numeric)],\n 8638: [8638 - 225308_s_at (numeric)],\n 8639: [8639 - 225309_at (numeric)],\n 8640: [8640 - 225310_at (numeric)],\n 8641: [8641 - 225311_at (numeric)],\n 8642: [8642 - 225312_at (numeric)],\n 8643: [8643 - 225314_at (numeric)],\n 8644: [8644 - 225315_at (numeric)],\n 8645: [8645 - 225318_at (numeric)],\n 8646: [8646 - 225320_at (numeric)],\n 8647: [8647 - 225321_s_at (numeric)],\n 8648: [8648 - 225324_at (numeric)],\n 8649: [8649 - 225325_at (numeric)],\n 8650: [8650 - 225326_at (numeric)],\n 8651: [8651 - 225327_at (numeric)],\n 8652: [8652 - 225328_at (numeric)],\n 8653: [8653 - 225330_at (numeric)],\n 8654: [8654 - 225331_at (numeric)],\n 8655: [8655 - 225334_at (numeric)],\n 8656: [8656 - 225336_at (numeric)],\n 8657: [8657 - 225337_at (numeric)],\n 8658: [8658 - 225339_at (numeric)],\n 8659: [8659 - 225340_s_at (numeric)],\n 8660: [8660 - 225342_at (numeric)],\n 8661: [8661 - 225343_at (numeric)],\n 8662: [8662 - 225344_at (numeric)],\n 8663: [8663 - 225345_s_at (numeric)],\n 8664: [8664 - 225350_s_at (numeric)],\n 8665: [8665 - 225352_at (numeric)],\n 8666: [8666 - 225353_s_at (numeric)],\n 8667: [8667 - 225354_s_at (numeric)],\n 8668: [8668 - 225355_at (numeric)],\n 8669: [8669 - 225356_at (numeric)],\n 8670: [8670 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225414_at (numeric)],\n 8697: [8697 - 225415_at (numeric)],\n 8698: [8698 - 225417_at (numeric)],\n 8699: [8699 - 225418_at (numeric)],\n 8700: [8700 - 225419_at (numeric)],\n 8701: [8701 - 225421_at (numeric)],\n 8702: [8702 - 225422_at (numeric)],\n 8703: [8703 - 225425_s_at (numeric)],\n 8704: [8704 - 225427_s_at (numeric)],\n 8705: [8705 - 225431_x_at (numeric)],\n 8706: [8706 - 225433_at (numeric)],\n 8707: [8707 - 225435_at (numeric)],\n 8708: [8708 - 225436_at (numeric)],\n 8709: [8709 - 225439_at (numeric)],\n 8710: [8710 - 225441_x_at (numeric)],\n 8711: [8711 - 225442_at (numeric)],\n 8712: [8712 - 225447_at (numeric)],\n 8713: [8713 - 225450_at (numeric)],\n 8714: [8714 - 225452_at (numeric)],\n 8715: [8715 - 225456_at (numeric)],\n 8716: [8716 - 225457_s_at (numeric)],\n 8717: [8717 - 225460_at (numeric)],\n 8718: [8718 - 225463_x_at (numeric)],\n 8719: [8719 - 225464_at (numeric)],\n 8720: [8720 - 225469_at (numeric)],\n 8721: [8721 - 225470_at (numeric)],\n 8722: [8722 - 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version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others as negative ('N')."},"dataset_features":{"kind":"string","value":"{0: [0 - oz1 (numeric)],\n 1: [1 - oz2 (numeric)],\n 2: [2 - oz3 (numeric)],\n 3: [3 - oz4 (numeric)],\n 4: [4 - oz5 (numeric)],\n 5: [5 - oz6 (numeric)],\n 6: [6 - oz7 (numeric)],\n 7: [7 - oz8 (numeric)],\n 8: [8 - oz9 (numeric)],\n 9: [9 - oz10 (numeric)],\n 10: [10 - oz11 (numeric)],\n 11: [11 - oz12 (numeric)],\n 12: [12 - oz13 (numeric)],\n 13: [13 - oz14 (numeric)],\n 14: [14 - oz15 (numeric)],\n 15: [15 - oz16 (numeric)],\n 16: [16 - oz17 (numeric)],\n 17: [17 - oz18 (numeric)],\n 18: [18 - oz19 (numeric)],\n 19: [19 - oz20 (numeric)],\n 20: [20 - oz21 (numeric)],\n 21: [21 - oz22 (numeric)],\n 22: [22 - oz23 (numeric)],\n 23: [23 - oz24 (numeric)],\n 24: [24 - oz25 (numeric)],\n 25: [25 - oz26 (numeric)],\n 26: [26 - oz27 (numeric)],\n 27: [27 - oz28 (numeric)],\n 28: [28 - oz29 (numeric)],\n 29: [29 - oz30 (numeric)],\n 30: [30 - oz31 (numeric)],\n 31: [31 - oz32 (numeric)],\n 32: [32 - oz33 (numeric)],\n 33: [33 - oz34 (numeric)],\n 34: [34 - oz35 (numeric)],\n 35: [35 - oz36 (numeric)],\n 36: [36 - oz37 (numeric)],\n 37: [37 - oz38 (numeric)],\n 38: [38 - oz39 (numeric)],\n 39: [39 - oz40 (numeric)],\n 40: [40 - oz41 (numeric)],\n 41: [41 - oz42 (numeric)],\n 42: [42 - oz43 (numeric)],\n 43: [43 - oz44 (numeric)],\n 44: [44 - oz45 (numeric)],\n 45: [45 - oz46 (numeric)],\n 46: [46 - oz47 (numeric)],\n 47: [47 - oz48 (numeric)],\n 48: [48 - oz49 (numeric)],\n 49: [49 - oz50 (numeric)],\n 50: [50 - binaryClass (nominal)]}"},"task_description":{"kind":"string","value":"{'MajorityClassSize': 547.0,\n 'MaxNominalAttDistinctValues': 2.0,\n 'MinorityClassSize': 453.0,\n 'NumberOfClasses': 2.0,\n 'NumberOfFeatures': 51.0,\n 'NumberOfInstances': 1000.0,\n 'NumberOfInstancesWithMissingValues': 0.0,\n 'NumberOfMissingValues': 0.0,\n 'NumberOfNumericFeatures': 50.0,\n 'NumberOfSymbolicFeatures': 1.0,\n 'cost_matrix': nan,\n 'did': 837,\n 'estimation_procedure': '33% Holdout set',\n 'evaluation_measures': 'predictive_accuracy',\n 'name': 'fri_c1_1000_50',\n 'source_data': '837',\n 'status': 'active',\n 'target_feature': 'binaryClass',\n 'task_type': 'Supervised Classification',\n 'tid': 75180,\n 'ttid': <TaskType.SUPERVISED_CLASSIFICATION: 1>}"},"task_name":{"kind":"string","value":"fri_c1_1000_50"},"attribute_names":{"kind":"list like","value":["oz1","oz2","oz3","oz4","oz5","oz6","oz7","oz8","oz9","oz10","oz11","oz12","oz13","oz14","oz15","oz16","oz17","oz18","oz19","oz20","oz21","oz22","oz23","oz24","oz25","oz26","oz27","oz28","oz29","oz30","oz31","oz32","oz33","oz34","oz35","oz36","oz37","oz38","oz39","oz40","oz41","oz42","oz43","oz44","oz45","oz46","oz47","oz48","oz49","oz50"],"string":"[\n \"oz1\",\n \"oz2\",\n \"oz3\",\n \"oz4\",\n \"oz5\",\n \"oz6\",\n \"oz7\",\n \"oz8\",\n \"oz9\",\n \"oz10\",\n \"oz11\",\n \"oz12\",\n \"oz13\",\n \"oz14\",\n \"oz15\",\n \"oz16\",\n \"oz17\",\n \"oz18\",\n \"oz19\",\n \"oz20\",\n \"oz21\",\n \"oz22\",\n \"oz23\",\n \"oz24\",\n \"oz25\",\n \"oz26\",\n \"oz27\",\n \"oz28\",\n \"oz29\",\n \"oz30\",\n \"oz31\",\n \"oz32\",\n \"oz33\",\n \"oz34\",\n \"oz35\",\n \"oz36\",\n \"oz37\",\n \"oz38\",\n \"oz39\",\n \"oz40\",\n \"oz41\",\n \"oz42\",\n \"oz43\",\n \"oz44\",\n \"oz45\",\n \"oz46\",\n \"oz47\",\n \"oz48\",\n \"oz49\",\n \"oz50\"\n]","isConversational":false},"categorical_indicator":{"kind":"list like","value":[false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false],"string":"[\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false\n]","isConversational":false},"__index_level_0__":{"kind":"number","value":2501,"string":"2,501"}}},{"rowIdx":2393,"cells":{"uid":{"kind":"number","value":75218,"string":"75,218"},"orig_metric":{"kind":"string","value":"predictive_accuracy"},"sklearn_metric":{"kind":"string","value":"accuracy_score"},"dataset_name":{"kind":"string","value":"segment"},"dataset_description":{"kind":"string","value":"**Author**: \n**Source**: Unknown - Date unknown \n**Please cite**: \n\nBinarized version of the original data set (see version 1). The multi-class target feature is converted to a two-class nominal target feature by re-labeling the majority class as positive ('P') and all others as negative ('N'). Originally converted by Quan Sun."},"dataset_features":{"kind":"string","value":"{0: [0 - region-centroid-col (numeric)],\n 1: [1 - region-centroid-row (numeric)],\n 2: [2 - region-pixel-count (numeric)],\n 3: [3 - short-line-density-5 (numeric)],\n 4: [4 - short-line-density-2 (numeric)],\n 5: [5 - vedge-mean (numeric)],\n 6: [6 - vegde-sd (numeric)],\n 7: [7 - hedge-mean (numeric)],\n 8: [8 - hedge-sd (numeric)],\n 9: [9 - intensity-mean (numeric)],\n 10: [10 - rawred-mean (numeric)],\n 11: [11 - rawblue-mean (numeric)],\n 12: [12 - rawgreen-mean (numeric)],\n 13: [13 - exred-mean (numeric)],\n 14: [14 - exblue-mean (numeric)],\n 15: [15 - exgreen-mean (numeric)],\n 16: [16 - value-mean (numeric)],\n 17: [17 - saturation-mean (numeric)],\n 18: [18 - hue-mean (numeric)],\n 19: [19 - binaryClass (nominal)]}"},"task_description":{"kind":"string","value":"{'MajorityClassSize': 1980.0,\n 'MaxNominalAttDistinctValues': 2.0,\n 'MinorityClassSize': 330.0,\n 'NumberOfClasses': 2.0,\n 'NumberOfFeatures': 20.0,\n 'NumberOfInstances': 2310.0,\n 'NumberOfInstancesWithMissingValues': 0.0,\n 'NumberOfMissingValues': 0.0,\n 'NumberOfNumericFeatures': 19.0,\n 'NumberOfSymbolicFeatures': 1.0,\n 'cost_matrix': nan,\n 'did': 958,\n 'estimation_procedure': '33% Holdout set',\n 'evaluation_measures': 'predictive_accuracy',\n 'name': 'segment',\n 'source_data': '958',\n 'status': 'active',\n 'target_feature': 'binaryClass',\n 'task_type': 'Supervised Classification',\n 'tid': 75218,\n 'ttid': <TaskType.SUPERVISED_CLASSIFICATION: 1>}"},"task_name":{"kind":"string","value":"segment"},"attribute_names":{"kind":"list like","value":["region-centroid-col","region-centroid-row","region-pixel-count","short-line-density-5","short-line-density-2","vedge-mean","vegde-sd","hedge-mean","hedge-sd","intensity-mean","rawred-mean","rawblue-mean","rawgreen-mean","exred-mean","exblue-mean","exgreen-mean","value-mean","saturation-mean","hue-mean"],"string":"[\n \"region-centroid-col\",\n \"region-centroid-row\",\n \"region-pixel-count\",\n \"short-line-density-5\",\n \"short-line-density-2\",\n \"vedge-mean\",\n \"vegde-sd\",\n \"hedge-mean\",\n \"hedge-sd\",\n \"intensity-mean\",\n \"rawred-mean\",\n \"rawblue-mean\",\n \"rawgreen-mean\",\n \"exred-mean\",\n \"exblue-mean\",\n \"exgreen-mean\",\n \"value-mean\",\n \"saturation-mean\",\n \"hue-mean\"\n]","isConversational":false},"categorical_indicator":{"kind":"list like","value":[false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false],"string":"[\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false\n]","isConversational":false},"__index_level_0__":{"kind":"number","value":2502,"string":"2,502"}}},{"rowIdx":2394,"cells":{"uid":{"kind":"number","value":75137,"string":"75,137"},"orig_metric":{"kind":"string","value":"predictive_accuracy"},"sklearn_metric":{"kind":"string","value":"accuracy_score"},"dataset_name":{"kind":"string","value":"fri_c4_1000_100"},"dataset_description":{"kind":"string","value":"**Author**: \n**Source**: Unknown - Date unknown \n**Please cite**: \n\nBinarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others as negative ('N')."},"dataset_features":{"kind":"string","value":"{0: [0 - oz1 (numeric)],\n 1: [1 - oz2 (numeric)],\n 2: [2 - oz3 (numeric)],\n 3: [3 - oz4 (numeric)],\n 4: [4 - oz5 (numeric)],\n 5: [5 - oz6 (numeric)],\n 6: [6 - oz7 (numeric)],\n 7: [7 - oz8 (numeric)],\n 8: [8 - oz9 (numeric)],\n 9: [9 - oz10 (numeric)],\n 10: [10 - oz11 (numeric)],\n 11: [11 - oz12 (numeric)],\n 12: [12 - oz13 (numeric)],\n 13: [13 - oz14 (numeric)],\n 14: [14 - oz15 (numeric)],\n 15: [15 - oz16 (numeric)],\n 16: [16 - oz17 (numeric)],\n 17: [17 - oz18 (numeric)],\n 18: [18 - oz19 (numeric)],\n 19: [19 - oz20 (numeric)],\n 20: [20 - oz21 (numeric)],\n 21: [21 - oz22 (numeric)],\n 22: [22 - oz23 (numeric)],\n 23: [23 - oz24 (numeric)],\n 24: [24 - oz25 (numeric)],\n 25: [25 - oz26 (numeric)],\n 26: [26 - oz27 (numeric)],\n 27: [27 - oz28 (numeric)],\n 28: [28 - oz29 (numeric)],\n 29: [29 - oz30 (numeric)],\n 30: [30 - oz31 (numeric)],\n 31: [31 - oz32 (numeric)],\n 32: [32 - oz33 (numeric)],\n 33: [33 - oz34 (numeric)],\n 34: [34 - oz35 (numeric)],\n 35: [35 - oz36 (numeric)],\n 36: [36 - oz37 (numeric)],\n 37: [37 - oz38 (numeric)],\n 38: [38 - oz39 (numeric)],\n 39: [39 - oz40 (numeric)],\n 40: [40 - oz41 (numeric)],\n 41: [41 - oz42 (numeric)],\n 42: [42 - oz43 (numeric)],\n 43: [43 - oz44 (numeric)],\n 44: [44 - oz45 (numeric)],\n 45: [45 - oz46 (numeric)],\n 46: [46 - oz47 (numeric)],\n 47: [47 - oz48 (numeric)],\n 48: [48 - oz49 (numeric)],\n 49: [49 - oz50 (numeric)],\n 50: [50 - oz51 (numeric)],\n 51: [51 - oz52 (numeric)],\n 52: [52 - oz53 (numeric)],\n 53: [53 - oz54 (numeric)],\n 54: [54 - oz55 (numeric)],\n 55: [55 - oz56 (numeric)],\n 56: [56 - oz57 (numeric)],\n 57: [57 - oz58 (numeric)],\n 58: [58 - oz59 (numeric)],\n 59: [59 - oz60 (numeric)],\n 60: [60 - oz61 (numeric)],\n 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http://www.cs.toronto.edu/~delve/data/twonorm/desc.html \n**Please cite**: \n\n* Twonorm dataset\n\nThis is an implementation of Leo Breiman's twonorm example[1]. It is a 20 dimensional, 2 class classification example. Each class is drawn from a multivariate normal distribution with unit variance. Class 1 has mean (a,a,..a) while Class 2 has mean (-a,-a,..-a). Where a = 2/sqrt(20). Breiman reports the theoretical expected misclassification rate as 2.3%. He used 300 training examples with CART and found an error of 22.1%."},"dataset_features":{"kind":"string","value":"{0: [0 - V1 (numeric)],\n 1: [1 - V2 (numeric)],\n 2: [2 - V3 (numeric)],\n 3: [3 - V4 (numeric)],\n 4: [4 - V5 (numeric)],\n 5: [5 - V6 (numeric)],\n 6: [6 - V7 (numeric)],\n 7: [7 - V8 (numeric)],\n 8: [8 - V9 (numeric)],\n 9: [9 - V10 (numeric)],\n 10: [10 - V11 (numeric)],\n 11: [11 - V12 (numeric)],\n 12: [12 - V13 (numeric)],\n 13: [13 - V14 (numeric)],\n 14: [14 - V15 (numeric)],\n 15: [15 - V16 (numeric)],\n 16: [16 - V17 (numeric)],\n 17: [17 - V18 (numeric)],\n 18: [18 - V19 (numeric)],\n 19: [19 - V20 (numeric)],\n 20: [20 - Class (nominal)]}"},"task_description":{"kind":"string","value":"{'MajorityClassSize': 3703.0,\n 'MaxNominalAttDistinctValues': 2.0,\n 'MinorityClassSize': 3697.0,\n 'NumberOfClasses': 2.0,\n 'NumberOfFeatures': 21.0,\n 'NumberOfInstances': 7400.0,\n 'NumberOfInstancesWithMissingValues': 0.0,\n 'NumberOfMissingValues': 0.0,\n 'NumberOfNumericFeatures': 20.0,\n 'NumberOfSymbolicFeatures': 1.0,\n 'cost_matrix': nan,\n 'did': 1507,\n 'estimation_procedure': '33% Holdout set',\n 'evaluation_measures': 'predictive_accuracy',\n 'name': 'twonorm',\n 'source_data': '1507',\n 'status': 'active',\n 'target_feature': 'Class',\n 'task_type': 'Supervised Classification',\n 'tid': 75187,\n 'ttid': <TaskType.SUPERVISED_CLASSIFICATION: 1>}"},"task_name":{"kind":"string","value":"twonorm"},"attribute_names":{"kind":"list like","value":["V1","V2","V3","V4","V5","V6","V7","V8","V9","V10","V11","V12","V13","V14","V15","V16","V17","V18","V19","V20"],"string":"[\n \"V1\",\n \"V2\",\n \"V3\",\n \"V4\",\n \"V5\",\n \"V6\",\n \"V7\",\n \"V8\",\n \"V9\",\n \"V10\",\n \"V11\",\n \"V12\",\n \"V13\",\n \"V14\",\n \"V15\",\n \"V16\",\n \"V17\",\n \"V18\",\n \"V19\",\n \"V20\"\n]","isConversational":false},"categorical_indicator":{"kind":"list like","value":[false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false],"string":"[\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false\n]","isConversational":false},"__index_level_0__":{"kind":"number","value":2504,"string":"2,504"}}},{"rowIdx":2396,"cells":{"uid":{"kind":"number","value":75209,"string":"75,209"},"orig_metric":{"kind":"string","value":"predictive_accuracy"},"sklearn_metric":{"kind":"string","value":"accuracy_score"},"dataset_name":{"kind":"string","value":"fri_c1_1000_25"},"dataset_description":{"kind":"string","value":"**Author**: \n**Source**: Unknown - Date unknown \n**Please cite**: \n\nBinarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others as negative ('N')."},"dataset_features":{"kind":"string","value":"{0: [0 - oz1 (numeric)],\n 1: [1 - oz2 (numeric)],\n 2: [2 - oz3 (numeric)],\n 3: [3 - oz4 (numeric)],\n 4: [4 - oz5 (numeric)],\n 5: [5 - oz6 (numeric)],\n 6: [6 - oz7 (numeric)],\n 7: [7 - oz8 (numeric)],\n 8: [8 - oz9 (numeric)],\n 9: [9 - oz10 (numeric)],\n 10: [10 - oz11 (numeric)],\n 11: [11 - oz12 (numeric)],\n 12: [12 - oz13 (numeric)],\n 13: [13 - oz14 (numeric)],\n 14: [14 - oz15 (numeric)],\n 15: [15 - oz16 (numeric)],\n 16: [16 - oz17 (numeric)],\n 17: [17 - oz18 (numeric)],\n 18: [18 - oz19 (numeric)],\n 19: [19 - oz20 (numeric)],\n 20: [20 - oz21 (numeric)],\n 21: [21 - oz22 (numeric)],\n 22: [22 - oz23 (numeric)],\n 23: [23 - oz24 (numeric)],\n 24: [24 - oz25 (numeric)],\n 25: [25 - binaryClass (nominal)]}"},"task_description":{"kind":"string","value":"{'MajorityClassSize': 546.0,\n 'MaxNominalAttDistinctValues': 2.0,\n 'MinorityClassSize': 454.0,\n 'NumberOfClasses': 2.0,\n 'NumberOfFeatures': 26.0,\n 'NumberOfInstances': 1000.0,\n 'NumberOfInstancesWithMissingValues': 0.0,\n 'NumberOfMissingValues': 0.0,\n 'NumberOfNumericFeatures': 25.0,\n 'NumberOfSymbolicFeatures': 1.0,\n 'cost_matrix': nan,\n 'did': 917,\n 'estimation_procedure': '33% Holdout set',\n 'evaluation_measures': 'predictive_accuracy',\n 'name': 'fri_c1_1000_25',\n 'source_data': '917',\n 'status': 'active',\n 'target_feature': 'binaryClass',\n 'task_type': 'Supervised Classification',\n 'tid': 75209,\n 'ttid': <TaskType.SUPERVISED_CLASSIFICATION: 1>}"},"task_name":{"kind":"string","value":"fri_c1_1000_25"},"attribute_names":{"kind":"list like","value":["oz1","oz2","oz3","oz4","oz5","oz6","oz7","oz8","oz9","oz10","oz11","oz12","oz13","oz14","oz15","oz16","oz17","oz18","oz19","oz20","oz21","oz22","oz23","oz24","oz25"],"string":"[\n \"oz1\",\n \"oz2\",\n \"oz3\",\n \"oz4\",\n \"oz5\",\n \"oz6\",\n \"oz7\",\n \"oz8\",\n \"oz9\",\n \"oz10\",\n \"oz11\",\n \"oz12\",\n \"oz13\",\n \"oz14\",\n \"oz15\",\n \"oz16\",\n \"oz17\",\n \"oz18\",\n \"oz19\",\n \"oz20\",\n \"oz21\",\n \"oz22\",\n \"oz23\",\n \"oz24\",\n \"oz25\"\n]","isConversational":false},"categorical_indicator":{"kind":"list like","value":[false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false],"string":"[\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false\n]","isConversational":false},"__index_level_0__":{"kind":"number","value":2505,"string":"2,505"}}},{"rowIdx":2397,"cells":{"uid":{"kind":"number","value":75200,"string":"75,200"},"orig_metric":{"kind":"string","value":"predictive_accuracy"},"sklearn_metric":{"kind":"string","value":"accuracy_score"},"dataset_name":{"kind":"string","value":"fri_c0_1000_50"},"dataset_description":{"kind":"string","value":"**Author**: \n**Source**: Unknown - Date unknown \n**Please cite**: \n\nBinarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others as negative ('N')."},"dataset_features":{"kind":"string","value":"{0: [0 - oz1 (numeric)],\n 1: [1 - oz2 (numeric)],\n 2: [2 - oz3 (numeric)],\n 3: [3 - oz4 (numeric)],\n 4: [4 - oz5 (numeric)],\n 5: [5 - oz6 (numeric)],\n 6: [6 - oz7 (numeric)],\n 7: [7 - oz8 (numeric)],\n 8: [8 - oz9 (numeric)],\n 9: [9 - oz10 (numeric)],\n 10: [10 - oz11 (numeric)],\n 11: [11 - oz12 (numeric)],\n 12: [12 - oz13 (numeric)],\n 13: [13 - oz14 (numeric)],\n 14: [14 - oz15 (numeric)],\n 15: [15 - oz16 (numeric)],\n 16: [16 - oz17 (numeric)],\n 17: [17 - oz18 (numeric)],\n 18: [18 - oz19 (numeric)],\n 19: [19 - oz20 (numeric)],\n 20: [20 - oz21 (numeric)],\n 21: [21 - oz22 (numeric)],\n 22: [22 - oz23 (numeric)],\n 23: [23 - oz24 (numeric)],\n 24: [24 - oz25 (numeric)],\n 25: [25 - oz26 (numeric)],\n 26: [26 - oz27 (numeric)],\n 27: [27 - oz28 (numeric)],\n 28: [28 - oz29 (numeric)],\n 29: [29 - oz30 (numeric)],\n 30: [30 - oz31 (numeric)],\n 31: [31 - oz32 (numeric)],\n 32: [32 - oz33 (numeric)],\n 33: [33 - oz34 (numeric)],\n 34: [34 - oz35 (numeric)],\n 35: [35 - oz36 (numeric)],\n 36: [36 - oz37 (numeric)],\n 37: [37 - oz38 (numeric)],\n 38: [38 - oz39 (numeric)],\n 39: [39 - oz40 (numeric)],\n 40: [40 - oz41 (numeric)],\n 41: [41 - oz42 (numeric)],\n 42: [42 - oz43 (numeric)],\n 43: [43 - oz44 (numeric)],\n 44: [44 - oz45 (numeric)],\n 45: [45 - oz46 (numeric)],\n 46: [46 - oz47 (numeric)],\n 47: [47 - oz48 (numeric)],\n 48: [48 - oz49 (numeric)],\n 49: [49 - oz50 (numeric)],\n 50: [50 - binaryClass (nominal)]}"},"task_description":{"kind":"string","value":"{'MajorityClassSize': 510.0,\n 'MaxNominalAttDistinctValues': 2.0,\n 'MinorityClassSize': 490.0,\n 'NumberOfClasses': 2.0,\n 'NumberOfFeatures': 51.0,\n 'NumberOfInstances': 1000.0,\n 'NumberOfInstancesWithMissingValues': 0.0,\n 'NumberOfMissingValues': 0.0,\n 'NumberOfNumericFeatures': 50.0,\n 'NumberOfSymbolicFeatures': 1.0,\n 'cost_matrix': nan,\n 'did': 904,\n 'estimation_procedure': '33% Holdout set',\n 'evaluation_measures': 'predictive_accuracy',\n 'name': 'fri_c0_1000_50',\n 'source_data': '904',\n 'status': 'active',\n 'target_feature': 'binaryClass',\n 'task_type': 'Supervised Classification',\n 'tid': 75200,\n 'ttid': <TaskType.SUPERVISED_CLASSIFICATION: 1>}"},"task_name":{"kind":"string","value":"fri_c0_1000_50"},"attribute_names":{"kind":"list like","value":["oz1","oz2","oz3","oz4","oz5","oz6","oz7","oz8","oz9","oz10","oz11","oz12","oz13","oz14","oz15","oz16","oz17","oz18","oz19","oz20","oz21","oz22","oz23","oz24","oz25","oz26","oz27","oz28","oz29","oz30","oz31","oz32","oz33","oz34","oz35","oz36","oz37","oz38","oz39","oz40","oz41","oz42","oz43","oz44","oz45","oz46","oz47","oz48","oz49","oz50"],"string":"[\n \"oz1\",\n \"oz2\",\n \"oz3\",\n \"oz4\",\n \"oz5\",\n \"oz6\",\n \"oz7\",\n \"oz8\",\n \"oz9\",\n \"oz10\",\n \"oz11\",\n \"oz12\",\n \"oz13\",\n \"oz14\",\n \"oz15\",\n \"oz16\",\n \"oz17\",\n \"oz18\",\n \"oz19\",\n \"oz20\",\n \"oz21\",\n \"oz22\",\n \"oz23\",\n \"oz24\",\n \"oz25\",\n \"oz26\",\n \"oz27\",\n \"oz28\",\n \"oz29\",\n \"oz30\",\n \"oz31\",\n \"oz32\",\n \"oz33\",\n \"oz34\",\n \"oz35\",\n \"oz36\",\n \"oz37\",\n \"oz38\",\n \"oz39\",\n \"oz40\",\n \"oz41\",\n \"oz42\",\n \"oz43\",\n \"oz44\",\n \"oz45\",\n \"oz46\",\n \"oz47\",\n \"oz48\",\n \"oz49\",\n \"oz50\"\n]","isConversational":false},"categorical_indicator":{"kind":"list like","value":[false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false,false],"string":"[\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false,\n false\n]","isConversational":false},"__index_level_0__":{"kind":"number","value":2506,"string":"2,506"}}},{"rowIdx":2398,"cells":{"uid":{"kind":"number","value":75154,"string":"75,154"},"orig_metric":{"kind":"string","value":"predictive_accuracy"},"sklearn_metric":{"kind":"string","value":"accuracy_score"},"dataset_name":{"kind":"string","value":"one-hundred-plants-margin"},"dataset_description":{"kind":"string","value":"**Author**: James Cope, Thibaut Beghin, Paolo Remagnino, Sarah Barman. \n**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/One-hundred+plant+species+leaves+data+set) - 2010 \n**Please cite**: Charles Mallah, James Cope, James Orwell. Plant Leaf Classification Using Probabilistic Integration of Shape, Texture and Margin Features. Signal Processing, Pattern Recognition and Applications, in press. 2013. \n\n### Description\n\nOne-hundred plant species leaves dataset (Class = Margin).\n \n### Sources\n```\n (a) Original owners of colour Leaves Samples:\n\n James Cope, Thibaut Beghin, Paolo Remagnino, Sarah Barman. \n The colour images are not included. \n The Leaves were collected in the Royal Botanic Gardens, Kew, UK. \n email: james.cope@kingston.ac.uk \n \n (b) This dataset consists of work carried out by James Cope, Charles Mallah, and James Orwell. \n Donor of database Charles Mallah: charles.mallah@kingston.ac.uk; James Cope: james.cope@kingston.ac.uk \n```\n\n### Dataset Information\n\nThe original data directory contains the binary images (masks) of the leaf samples (colour images not included).\nThere are three features for each image: Shape, Margin and Texture.\nFor each feature, a 64 element vector is given per leaf sample.\nThese vectors are taken as a contiguous descriptor (for shape) or histograms (for texture and margin).\nSo, there are three different files, one for each feature problem: \n * 'data_Sha_64.txt' -> prediction based on shape\n * 'data_Tex_64.txt' -> prediction based on texture\n * 'data_Mar_64.txt' -> prediction based on margin [**dataset provided here**] \n\nEach row has a 64-element feature vector followed by the Class label.\nThere is a total of 1600 samples with 16 samples per leaf class (100 classes), and no missing values.\n\n### Attributes Information\n\nThree 64 element feature vectors per sample.\n\n### Relevant Papers\n\nCharles Mallah, James Cope, James Orwell. \nPlant Leaf Classification Using Probabilistic Integration of Shape, Texture and Margin Features. \nSignal Processing, Pattern Recognition and Applications, in press.\n\nJ. Cope, P. Remagnino, S. Barman, and P. Wilkin.\nPlant texture classification using gabor co-occurrences.\nAdvances in Visual Computing,\npages 699-677, 2010.\n\nT. Beghin, J. Cope, P. Remagnino, and S. Barman.\nShape and texture based plant leaf classification. \nIn: Advanced Concepts for Intelligent Vision Systems,\npages 345-353. Springer, 2010."},"dataset_features":{"kind":"string","value":"{0: [0 - V1 (numeric)],\n 1: [1 - V2 (numeric)],\n 2: [2 - V3 (numeric)],\n 3: [3 - V4 (numeric)],\n 4: [4 - V5 (numeric)],\n 5: [5 - V6 (numeric)],\n 6: [6 - V7 (numeric)],\n 7: [7 - V8 (numeric)],\n 8: [8 - V9 (numeric)],\n 9: [9 - V10 (numeric)],\n 10: [10 - V11 (numeric)],\n 11: [11 - V12 (numeric)],\n 12: [12 - V13 (numeric)],\n 13: [13 - V14 (numeric)],\n 14: [14 - V15 (numeric)],\n 15: [15 - V16 (numeric)],\n 16: [16 - V17 (numeric)],\n 17: [17 - V18 (numeric)],\n 18: [18 - V19 (numeric)],\n 19: [19 - V20 (numeric)],\n 20: [20 - V21 (numeric)],\n 21: [21 - V22 (numeric)],\n 22: [22 - V23 (numeric)],\n 23: [23 - V24 (numeric)],\n 24: [24 - V25 (numeric)],\n 25: [25 - V26 (numeric)],\n 26: [26 - V27 (numeric)],\n 27: [27 - V28 (numeric)],\n 28: [28 - V29 (numeric)],\n 29: [29 - V30 (numeric)],\n 30: [30 - V31 (numeric)],\n 31: [31 - V32 (numeric)],\n 32: [32 - V33 (numeric)],\n 33: [33 - V34 (numeric)],\n 34: [34 - V35 (numeric)],\n 35: [35 - 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Date unknown \n**Please cite**: \n\nBinarized version of the original data set (see version 1). 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|---|---|---|---|---|---|---|---|---|---|---|
9,947 | predictive_accuracy | accuracy_score | heart-long-beach | **Author**: V.A. Medical Center, Long Beach and Cleveland Clinic Foundation: Robert Detrano, M.D., Ph.D.
**Source**: UCI
**Please cite**: V.A. Medical Center, Long Beach and Cleveland Clinic Foundation:Robert Detrano, M.D., Ph.D.
* Donor:
David W. Aha (aha '@' ics.uci.edu) (714) 856-8779
* Data Set Info... | {0: [0 - V1 (numeric)],
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10: [10 - V11 (numeric)],
11: [11 - V12 (numeric)],
12: [12 - V13 (numeric)]... | {'MajorityClassSize': 56.0,
'MaxNominalAttDistinctValues': 5.0,
'MinorityClassSize': 10.0,
'NumberOfClasses': 5.0,
'NumberOfFeatures': 14.0,
'NumberOfInstances': 200.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 13.0,
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'c... | heart-long-beach | [
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9,941 | predictive_accuracy | accuracy_score | wall-robot-navigation | **Author**: Ananda Freire, Marcus Veloso and Guilherme Barreto
**Source**: [original](http://www.openml.org/d/1497) - UCI
**Please cite**:
* Dataset Title:
Wall-Following Robot Navigation Data Data Set (version with 2 Attributes)
* Abstract:
The data were collected as the SCITOS G5 robot navigates thro... | {0: [0 - V1 (numeric)], 1: [1 - V2 (numeric)], 2: [2 - Class (nominal)]} | {'MajorityClassSize': 2205.0,
'MaxNominalAttDistinctValues': 4.0,
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'NumberOfFeatures': 3.0,
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... | wall-robot-navigation | [
"V1",
"V2"
] | [
false,
false
] | 2,409 |
9,942 | predictive_accuracy | accuracy_score | wall-robot-navigation | **Author**: Ananda Freire, Marcus Veloso and Guilherme Barreto
**Source**: [original](http://www.openml.org/d/1497) - UCI
**Please cite**:
* Dataset Title:
Wall-Following Robot Navigation Data Data Set (version with 4 Attributes)
* Abstract:
The data were collected as the SCITOS G5 robot navigates t... | {0: [0 - V1 (numeric)],
1: [1 - V2 (numeric)],
2: [2 - V3 (numeric)],
3: [3 - V4 (numeric)],
4: [4 - Class (nominal)]} | {'MajorityClassSize': 2205.0,
'MaxNominalAttDistinctValues': 4.0,
'MinorityClassSize': 328.0,
'NumberOfClasses': 4.0,
'NumberOfFeatures': 5.0,
'NumberOfInstances': 5456.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 4.0,
'NumberOfSymbolicFeatures': 1.0,
... | wall-robot-navigation | [
"V1",
"V2",
"V3",
"V4"
] | [
false,
false,
false,
false
] | 2,410 |
9,953 | predictive_accuracy | accuracy_score | planning-relax | **Author**: Rajen Bhatt
**Source**: UCI
**Please cite**: Rajen Bhatt, 'Planning-Relax Dataset for Automatic Classification of EEG Signals', UCI Machine Learning Repository
* Title:
Planning Relax Data Set
* Abstract:
The dataset concerns with the classification of two mental stages from recorded EEG signal... | {0: [0 - V1 (numeric)],
1: [1 - V2 (numeric)],
2: [2 - V3 (numeric)],
3: [3 - V4 (numeric)],
4: [4 - V5 (numeric)],
5: [5 - V6 (numeric)],
6: [6 - V7 (numeric)],
7: [7 - V8 (numeric)],
8: [8 - V9 (numeric)],
9: [9 - V10 (numeric)],
10: [10 - V11 (numeric)],
11: [11 - V12 (numeric)],
12: [12 - Class (nominal... | {'MajorityClassSize': 130.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 52.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 13.0,
'NumberOfInstances': 182.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 12.0,
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'... | planning-relax | [
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"V3",
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"V5",
"V6",
"V7",
"V8",
"V9",
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"V12"
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9,958 | predictive_accuracy | accuracy_score | qualitative-bankruptcy | **Author**: A. Martin, J. Uthayakumar, M. Nadarajan, V. Prasanna Venkatesan
**Source**: UCI
**Please cite**:
* Abstract:
Predict the Bankruptcy from Qualitative parameters from experts.
* Source:
Source Information
-- Creator : Mr.A.Martin(jayamartin '@' yahoo.com)
Mr.J.Uthayakumar (uthayakumar17691 '@'... | {0: [0 - V1 (nominal)],
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2: [2 - V3 (nominal)],
3: [3 - V4 (nominal)],
4: [4 - V5 (nominal)],
5: [5 - V6 (nominal)],
6: [6 - Class (nominal)]} | {'MajorityClassSize': 143.0,
'MaxNominalAttDistinctValues': 3.0,
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'NumberOfClasses': 2.0,
'NumberOfFeatures': 7.0,
'NumberOfInstances': 250.0,
'NumberOfInstancesWithMissingValues': 0.0,
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'c... | qualitative-bankruptcy | [
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"V3",
"V4",
"V5",
"V6"
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9,988 | predictive_accuracy | accuracy_score | wholesale-customers | **Author**: Margarida G. M. S. Cardoso
**Source**: UCI
**Please cite**: Abreu, N. (2011). Analise do perfil do cliente Recheio e desenvolvimento de um sistema promocional. Mestrado em Marketing, ISCTE-IUL, Lisbon.
* Title:
Wholesale customers Data Set
* Abstract:
The data set refers to clients of ... | {0: [0 - V1 (numeric)],
1: [1 - V2 (numeric)],
2: [2 - V3 (numeric)],
3: [3 - V4 (numeric)],
4: [4 - V5 (numeric)],
5: [5 - V6 (numeric)],
6: [6 - V7 (numeric)],
7: [7 - Channel (nominal)],
8: [8 - Region (nominal)]} | {'MajorityClassSize': 298.0,
'MaxNominalAttDistinctValues': 3.0,
'MinorityClassSize': 142.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 9.0,
'NumberOfInstances': 440.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 7.0,
'NumberOfSymbolicFeatures': 2.0,
'c... | wholesale-customers | [
"V1",
"V2",
"V3",
"V4",
"V5",
"V6",
"V7",
"Region"
] | [
false,
false,
false,
false,
false,
false,
false,
true
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9,984 | predictive_accuracy | accuracy_score | fertility | **Author**: David Gil, Jose Luis Girela
**Source**: UCI
**Please cite**: David Gil, Jose Luis Girela, Joaquin De Juan, M. Jose Gomez-Torres, and Magnus Johnsson. Predicting seminal quality with artificial intelligence methods. Expert Systems with Applications, 39(16):12564 - 12573, 2012
Source:
David Gil,
dgi... | {0: [0 - V1 (numeric)],
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6: [6 - V7 (numeric)],
7: [7 - V8 (numeric)],
8: [8 - V9 (numeric)],
9: [9 - Class (nominal)]} | {'MajorityClassSize': 88.0,
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'NumberOfInstancesWithMissingValues': 0.0,
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'NumberOfNumericFeatures': 9.0,
'NumberOfSymbolicFeatures': 1.0,
'co... | fertility | [
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"V5",
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9,961 | predictive_accuracy | accuracy_score | sa-heart | **Author**:
**Source**: http://statweb.stanford.edu/~tibs/ElemStatLearn/data.html
**Please cite**:
* Title:
South Africa Heart Disease Dataset
* Description
A retrospective sample of males in a heart-disease high-risk region of the Western Cape, South Africa. There are roughly two controls per case of CHD.... | {0: [0 - V1 (numeric)],
1: [1 - V2 (numeric)],
2: [2 - V3 (numeric)],
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4: [4 - V5 (nominal)],
5: [5 - V6 (numeric)],
6: [6 - V7 (numeric)],
7: [7 - V8 (numeric)],
8: [8 - V9 (numeric)],
9: [9 - Class (nominal)]} | {'MajorityClassSize': 302.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 160.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 10.0,
'NumberOfInstances': 462.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 8.0,
'NumberOfSymbolicFeatures': 2.0,
'... | sa-heart | [
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"V2",
"V3",
"V4",
"V5",
"V6",
"V7",
"V8",
"V9"
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9,962 | predictive_accuracy | accuracy_score | seeds | **Author**: M. Charytanowicz, J. Niewczas, P. Kulczycki, P.A. Kowalski, S. Lukasik, S. Zak
**Source**: UCI
**Please cite**: Contributors gratefully acknowledge support of their work by the Institute of Agrophysics of the Polish Academy of Sciences in Lublin.
* Title:
seeds Data Set
* Abstract:
Measurem... | {0: [0 - V1 (numeric)],
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2: [2 - V3 (numeric)],
3: [3 - V4 (numeric)],
4: [4 - V5 (numeric)],
5: [5 - V6 (numeric)],
6: [6 - V7 (numeric)],
7: [7 - Class (nominal)]} | {'MajorityClassSize': 70.0,
'MaxNominalAttDistinctValues': 3.0,
'MinorityClassSize': 70.0,
'NumberOfClasses': 3.0,
'NumberOfFeatures': 8.0,
'NumberOfInstances': 210.0,
'NumberOfInstancesWithMissingValues': 0.0,
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'NumberOfNumericFeatures': 7.0,
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'cos... | seeds | [
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"V2",
"V3",
"V4",
"V5",
"V6",
"V7"
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false,
false,
false,
false,
false,
false,
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75,197 | predictive_accuracy | accuracy_score | fbis.wc | null | {0: [0 - word-0 (numeric)],
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2: [2 - word-2 (numeric)],
3: [3 - word-3 (numeric)],
4: [4 - word-4 (numeric)],
5: [5 - word-5 (numeric)],
6: [6 - word-6 (numeric)],
7: [7 - word-7 (numeric)],
8: [8 - word-8 (numeric)],
9: [9 - word-9 (numeric)],
10: [10 - word-10 (numeric)],
11: [11 ... | {'MajorityClassSize': 506.0,
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'NumberOfInstancesWithMissingValues': 0.0,
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'NumberOfNumericFeatures': 2000.0,
'NumberOfSymbolicFeatures': ... | fbis.wc | [
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f... | 2,417 |
10,096 | predictive_accuracy | accuracy_score | CastMetal1 | **Author**: Hans Bauer Jesus","Deter Bergman
**Source**: Unknown - Date unknown
**Please cite**:
cast metal 1 | {0: [0 - a (numeric)],
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10: [10 - k (numeric)],
11: [11 - l (numeric)],
12: [12 - m (numeric)],
13: [13 - n (n... | {'MajorityClassSize': 285.0,
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'... | CastMetal1 | [
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9,973 | predictive_accuracy | accuracy_score | leaf | **Author**: Pedro F.B. Silva, Andre R.S. Marcal, Rubim M. Almeida da Silva
**Source**: UCI
**Please cite**: 'Evaluation of Features for Leaf Discrimination', Pedro F.B. Silva, Andre R.S. Marcal, Rubim M. Almeida da Silva (2013). Springer Lecture Notes in Computer Science, Vol. 7950, 197-204.
Abstract:
This ... | {0: [0 - V1 (numeric)],
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6: [6 - V7 (numeric)],
7: [7 - V8 (numeric)],
8: [8 - V9 (numeric)],
9: [9 - V10 (numeric)],
10: [10 - V11 (numeric)],
11: [11 - V12 (numeric)],
12: [12 - V13 (numeric)]... | {'MajorityClassSize': 16.0,
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'... | leaf | [
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3,982 | predictive_accuracy | accuracy_score | AP_Breast_Uterus | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
GEMLeR provides a collection of gene expression datasets that can be used for benchmarking gene expression oriented machine learning algorithms. They can be used for estimation of different quality metrics (e.g. accuracy, precision, area under ROC... | {0: [0 - ID_REF (numeric)],
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5: [5 - 1494_f_at (numeric)],
6: [6 - 1552256_a_at (numeric)],
7: [7 - 1552257_a_at (numeric)],
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10: [10... | {'MajorityClassSize': 344.0,
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'NumberOfClasses': 2.0,
'NumberOfFeatures': 10937.0,
'NumberOfInstances': 468.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 10936.0,
'NumberOfSymbolicFeatures': ... | AP_Breast_Uterus | [
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9,893 | predictive_accuracy | accuracy_score | hill-valley | **Author**: Lee Graham, Franz Oppacher
**Source**: [original](http://www.openml.org/d/1479) - UCI
**Please cite**:
* Dataset:
Hill valley dataset. A noiseless version of the data set. | {0: [0 - V1 (numeric)],
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12: [12 - V13 (numeric)]... | {'MajorityClassSize': 612.0,
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'NumberOfClasses': 2.0,
'NumberOfFeatures': 101.0,
'NumberOfInstances': 1212.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 100.0,
'NumberOfSymbolicFeatures': 1.0... | hill-valley | [
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10,089 | predictive_accuracy | accuracy_score | acute-inflammations | **Author**: Jacek Czerniak
**Source**: UCI
**Please cite**: J.Czerniak, H.Zarzycki, Application of rough sets in the presumptive diagnosis of urinary system diseases, Artificial Intelligence and Security in Computing Systems, ACS'2002 9th International Conference Proceedings, Kluwer Academic Publishers,2003,... | {0: [0 - V1 (numeric)],
1: [1 - V2 (nominal)],
2: [2 - V3 (nominal)],
3: [3 - V4 (nominal)],
4: [4 - V5 (nominal)],
5: [5 - V6 (nominal)],
6: [6 - Class (nominal)]} | {'MajorityClassSize': 70.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 50.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 7.0,
'NumberOfInstances': 120.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1.0,
'NumberOfSymbolicFeatures': 6.0,
'cos... | acute-inflammations | [
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"V2",
"V3",
"V4",
"V5",
"V6"
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10,091 | predictive_accuracy | accuracy_score | banana | **Author**:
**Source**: KEEL
**Please cite**:
An artificial data set where instances belongs to several clusters with a banana shape. There are two attributes At1 and At2 corresponding to the x and y axis, respectively. The class label (-1 and 1) represents one of the two banana shapes in the dataset. | {0: [0 - V1 (numeric)], 1: [1 - V2 (numeric)], 2: [2 - Class (nominal)]} | {'MajorityClassSize': 2924.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 2376.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 3.0,
'NumberOfInstances': 5300.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 2.0,
'NumberOfSymbolicFeatures': 1.0,
... | banana | [
"V1",
"V2"
] | [
false,
false
] | 2,423 |
9,975 | predictive_accuracy | accuracy_score | lsvt | **Author**: Athanasios Tsanas
**Source**: UCI
**Please cite**: A. Tsanas, M.A. Little, C. Fox, L.O. Ramig: Objective automatic assessment of rehabilitative speech treatment in Parkinsons disease, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol. 22, pp. 181-190, January 2014
Dataset title... | {0: [0 - V1 (numeric)],
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6: [6 - V7 (numeric)],
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8: [8 - V9 (numeric)],
9: [9 - V10 (numeric)],
10: [10 - V11 (numeric)],
11: [11 - V12 (numeric)],
12: [12 - V13 (numeric)]... | {'MajorityClassSize': 84.0,
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'MinorityClassSize': 42.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 311.0,
'NumberOfInstances': 126.0,
'NumberOfInstancesWithMissingValues': 0.0,
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'NumberOfNumericFeatures': 310.0,
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... | lsvt | [
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9,969 | predictive_accuracy | accuracy_score | thoracic-surgery | **Author**:
**Source**: UCI
**Please cite**: Zikeba, M., Tomczak, J. M., Lubicz, M., & Swikatek, J. (2013). Boosted SVM for extracting rules from imbalanced data in application to prediction of the post-operative life expectancy in the lung cancer patients. Applied Soft Computing.
* Title:
Thoracic Surge... | {0: [0 - V1 (nominal)],
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6: [6 - V7 (nominal)],
7: [7 - V8 (nominal)],
8: [8 - V9 (nominal)],
9: [9 - V10 (nominal)],
10: [10 - V11 (nominal)],
11: [11 - V12 (nominal)],
12: [12 - V13 (nominal)]... | {'MajorityClassSize': 400.0,
'MaxNominalAttDistinctValues': 7.0,
'MinorityClassSize': 70.0,
'NumberOfClasses': 2.0,
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'NumberOfInstances': 470.0,
'NumberOfInstancesWithMissingValues': 0.0,
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'... | thoracic-surgery | [
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9,963 | predictive_accuracy | accuracy_score | seismic-bumps | **Author**: Sikora M., Wrobel L.
**Source**: UCI
**Please cite**: Sikora M., Wrobel L.: Application of rule induction algorithms for analysis of data collected by seismic hazard monitoring systems in coal mines. Archives of Mining Sciences, 55(1), 2010, 91-114.
* Title:
seismic-bumps Data Set
* Abstract... | {0: [0 - V1 (numeric)],
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5: [5 - V6 (numeric)],
6: [6 - V7 (numeric)],
7: [7 - Class (nominal)]} | {'MajorityClassSize': 70.0,
'MaxNominalAttDistinctValues': 3.0,
'MinorityClassSize': 70.0,
'NumberOfClasses': 3.0,
'NumberOfFeatures': 8.0,
'NumberOfInstances': 210.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 7.0,
'NumberOfSymbolicFeatures': 1.0,
'cos... | seismic-bumps | [
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9,959 | predictive_accuracy | accuracy_score | ringnorm | **Author**: Michael Revow
**Source**: http://www.cs.toronto.edu/~delve/data/ringnorm/desc.html
**Please cite**:
1: Abstract:
This is a 20 dimensional, 2 class classification problem. Each class is drawn from a multivariate normal distribution. Class 1 has mean zero and covariance 4 times the identity. C... | {0: [0 - V1 (numeric)],
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6: [6 - V7 (numeric)],
7: [7 - V8 (numeric)],
8: [8 - V9 (numeric)],
9: [9 - V10 (numeric)],
10: [10 - V11 (numeric)],
11: [11 - V12 (numeric)],
12: [12 - V13 (numeric)]... | {'MajorityClassSize': 3736.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 3664.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 21.0,
'NumberOfInstances': 7400.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 20.0,
'NumberOfSymbolicFeatures': 1.0... | ringnorm | [
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] | 2,427 |
4,546 | predictive_accuracy | accuracy_score | mfeat-factors | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). The multi-class target feature is converted to a two-class nominal target feature by re-labeling the majority class as positive ('P') and all others as negative ('N'). Originally converte... | {0: [0 - att1 (numeric)],
1: [1 - att2 (numeric)],
2: [2 - att3 (numeric)],
3: [3 - att4 (numeric)],
4: [4 - att5 (numeric)],
5: [5 - att6 (numeric)],
6: [6 - att7 (numeric)],
7: [7 - att8 (numeric)],
8: [8 - att9 (numeric)],
9: [9 - att10 (numeric)],
10: [10 - att11 (numeric)],
11: [11 - att12 (numeric)],
... | {'MajorityClassSize': 1800.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 200.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 217.0,
'NumberOfInstances': 2000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 216.0,
'NumberOfSymbolicFeatures': 1.... | mfeat-factors | [
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f... | 2,428 |
10,095 | predictive_accuracy | accuracy_score | breast-tissue | **Author**: JP Marques de Sá, J Jossinet
**Source**: UCI
**Please cite**:
* Source:
JP Marques de Sá, INEB-Instituto de Engenharia Biomédica, Porto, Portugal; e-mail: jpmdesa '@' gmail.com
J Jossinet, inserm, Lyon, France
* Data Set Information:
Impedance measurements were made at the frequencies: 1... | {0: [0 - V1 (numeric)],
1: [1 - V2 (numeric)],
2: [2 - V3 (numeric)],
3: [3 - V4 (numeric)],
4: [4 - V5 (numeric)],
5: [5 - V6 (numeric)],
6: [6 - V7 (numeric)],
7: [7 - V8 (numeric)],
8: [8 - V9 (numeric)],
9: [9 - Class (nominal)]} | {'MajorityClassSize': 22.0,
'MaxNominalAttDistinctValues': 6.0,
'MinorityClassSize': 14.0,
'NumberOfClasses': 6.0,
'NumberOfFeatures': 10.0,
'NumberOfInstances': 106.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 9.0,
'NumberOfSymbolicFeatures': 1.0,
'co... | breast-tissue | [
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9,943 | predictive_accuracy | accuracy_score | twonorm | **Author**: Michael Revow
**Source**: http://www.cs.toronto.edu/~delve/data/twonorm/desc.html
**Please cite**:
* Twonorm dataset
This is an implementation of Leo Breiman's twonorm example[1]. It is a 20 dimensional, 2 class classification example. Each class is drawn from a multivariate normal distributio... | {0: [0 - V1 (numeric)],
1: [1 - V2 (numeric)],
2: [2 - V3 (numeric)],
3: [3 - V4 (numeric)],
4: [4 - V5 (numeric)],
5: [5 - V6 (numeric)],
6: [6 - V7 (numeric)],
7: [7 - V8 (numeric)],
8: [8 - V9 (numeric)],
9: [9 - V10 (numeric)],
10: [10 - V11 (numeric)],
11: [11 - V12 (numeric)],
12: [12 - V13 (numeric)]... | {'MajorityClassSize': 3703.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 3697.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 21.0,
'NumberOfInstances': 7400.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 20.0,
'NumberOfSymbolicFeatures': 1.0... | twonorm | [
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10,103 | predictive_accuracy | accuracy_score | volcanoes-a1 | **Author**: Michael C. Burl
**Source**: UCI
**Please cite**:
* Dataset Title:
Volcanoes on Venus - JARtool experiment Data Set
Experiment: A1
* Source:
Michael C. Burl
MS 126-347, JPL
4800 Oak Grove Drive
Pasadena, CA 91109
(818) 393-5345
Michael.C.Burl '@' jpl.nasa.gov
http://www-aig.jpl.nas... | {0: [0 - V1 (numeric)],
1: [1 - V2 (numeric)],
2: [2 - V3 (numeric)],
3: [3 - Class (nominal)]} | {'MajorityClassSize': 2952.0,
'MaxNominalAttDistinctValues': 5.0,
'MinorityClassSize': 58.0,
'NumberOfClasses': 5.0,
'NumberOfFeatures': 4.0,
'NumberOfInstances': 3252.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3.0,
'NumberOfSymbolicFeatures': 1.0,
'... | volcanoes-a1 | [
"V1",
"V2",
"V3"
] | [
false,
false,
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] | 2,431 |
10,109 | confusion_matrix | accuracy_score | Engine1 | simple engine data | {0: [0 - Tempreture (numeric)],
1: [1 - Pump_Pressure (numeric)],
2: [2 - inlet_Pressure (numeric)],
3: [3 - Oulet_Pressure (numeric)],
4: [4 - Flowrate (numeric)],
5: [5 - Pump_Status (nominal)]} | {'MajorityClassSize': 257.0,
'MaxNominalAttDistinctValues': 3.0,
'MinorityClassSize': 1.0,
'NumberOfClasses': 3.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 383.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 5.0,
'NumberOfSymbolicFeatures': 1.0,
'cos... | Engine1 | [
"Tempreture",
"Pump_Pressure",
"inlet_Pressure",
"Oulet_Pressure",
"Flowrate"
] | [
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] | 2,432 |
10,094 | predictive_accuracy | accuracy_score | blogger | **Author**:
**Source**: UCI
**Please cite**:
Source:
http://www.ijcaonline.org/archives/volume47/number18/7291-0509
Data Set Information:
In this paper, we look for to recognize the causes of users tend to cyber space in Kohkiloye and Boyer Ahmad Province in Iran. Collecting information to form database ... | {0: [0 - V1 (nominal)],
1: [1 - V2 (nominal)],
2: [2 - V3 (nominal)],
3: [3 - V4 (nominal)],
4: [4 - V5 (nominal)],
5: [5 - Class (nominal)]} | {'MajorityClassSize': 68.0,
'MaxNominalAttDistinctValues': 5.0,
'MinorityClassSize': 32.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 100.0,
'NumberOfInstancesWithMissingValues': 0.0,
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'NumberOfSymbolicFeatures': 6.0,
'cos... | blogger | [
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9,908 | predictive_accuracy | accuracy_score | autoUniv-au4-2500 | **Author**: Ray. J. Hickey
**Source**: UCI
**Please cite**:
* Dataset Title:
AutoUniv Dataset
data problem: autoUniv-au4-2500
* Abstract:
AutoUniv is an advanced data generator for classifications tasks. The aim is to reflect the nuances and heterogeneity of real data. Data can be generated in .c... | {0: [0 - V1 (numeric)],
1: [1 - V2 (numeric)],
2: [2 - V3 (nominal)],
3: [3 - V4 (nominal)],
4: [4 - V5 (numeric)],
5: [5 - V6 (nominal)],
6: [6 - V7 (numeric)],
7: [7 - V8 (numeric)],
8: [8 - V9 (nominal)],
9: [9 - V10 (numeric)],
10: [10 - V11 (numeric)],
11: [11 - V12 (nominal)],
12: [12 - V13 (nominal)]... | {'MajorityClassSize': 1173.0,
'MaxNominalAttDistinctValues': 6.0,
'MinorityClassSize': 196.0,
'NumberOfClasses': 3.0,
'NumberOfFeatures': 101.0,
'NumberOfInstances': 2500.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 58.0,
'NumberOfSymbolicFeatures': 43.... | autoUniv-au4-2500 | [
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3,997 | predictive_accuracy | accuracy_score | AP_Lung_Kidney | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
GEMLeR provides a collection of gene expression datasets that can be used for benchmarking gene expression oriented machine learning algorithms. They can be used for estimation of different quality metrics (e.g. accuracy, precision, area under ROC... | {0: [0 - ID_REF (numeric)],
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10: ... | {'MajorityClassSize': 260.0,
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'NumberOfInstancesWithMissingValues': 0.0,
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12,736 | area_under_roc_curve | roc_auc_score | pc1 | **Author**: Mike Chapman, NASA
**Source**: [tera-PROMISE](http://openscience.us/repo/defect/mccabehalsted/pc1.html) - 2004
**Please cite**: Sayyad Shirabad, J. and Menzies, T.J. (2005) The PROMISE Repository of Software Engineering Databases. School of Information Technology and Engineering, University of Ottawa, C... | {0: [0 - loc (numeric)],
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9: [9 - E (numeric)],
10: [10 - B (numeric)],
11: [11 - T (numeric)],
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9,949 | predictive_accuracy | accuracy_score | micro-mass | **Author**: Pierre Mahé, Jean-Baptiste Veyrieras
**Source**: UCI
**Please cite**:
* Dataset Title: MicroMass - Mixed (mixed spectra version)
* Abstract:
A dataset to explore machine learning approaches for the identification of microorganisms from mass-spectrometry data.
* Source:
Pierre Mahé, pier... | {0: [0 - V1 (numeric)],
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12: [12 - V13 (numeric)]... | {'MajorityClassSize': 36.0,
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75,089 | predictive_accuracy | accuracy_score | autoUniv-au1-1000 | **Author**: Ray. J. Hickey
**Source**: UCI
**Please cite**:
* Dataset Title:
AutoUniv Dataset
data problem: autoUniv-au1-1000
* Abstract:
AutoUniv is an advanced data generator for classifications tasks. The aim is to reflect the nuances and heterogeneity of real data. Data can be generated in .cs... | {0: [0 - V1 (numeric)],
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12: [12 - V13 (numeric)]... | {'MajorityClassSize': 741.0,
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'NumberOfInstancesWithMissingValues': 0.0,
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... | autoUniv-au1-1000 | [
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4,655 | predictive_accuracy | accuracy_score | musk | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Dataset from the MLRR repository: http://axon.cs.byu.edu:5000/
More infos: https://archive.ics.uci.edu/ml/datasets/Musk+(Version+2) | {0: [0 - ID (numeric)],
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10: [10 - f8 (numeric)],
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1... | {'MajorityClassSize': 5581.0,
'MaxNominalAttDistinctValues': 102.0,
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'NumberOfClasses': 2.0,
'NumberOfFeatures': 168.0,
'NumberOfInstances': 6598.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 166.0,
'NumberOfSymbolicFeatures':... | musk | [
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12,739 | matthews_correlation_coefficient | matthews_corrcoef | diabetes | **Author**: [Vincent Sigillito](vgs@aplcen.apl.jhu.edu)
**Source**: [Obtained from UCI](https://archive.ics.uci.edu/ml/datasets/pima+indians+diabetes)
**Please cite**: [UCI citation policy](https://archive.ics.uci.edu/ml/citation_policy.html)
1. Title: Pima Indians Diabetes Database
2. Sources:
(a) Origi... | {0: [0 - preg (numeric)],
1: [1 - plas (numeric)],
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3: [3 - skin (numeric)],
4: [4 - insu (numeric)],
5: [5 - mass (numeric)],
6: [6 - pedi (numeric)],
7: [7 - age (numeric)],
8: [8 - class (nominal)]} | {'MajorityClassSize': 500.0,
'MaxNominalAttDistinctValues': 2.0,
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'NumberOfClasses': 2.0,
'NumberOfFeatures': 9.0,
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'NumberOfInstancesWithMissingValues': 0.0,
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'c... | diabetes | [
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"skin",
"insu",
"mass",
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] | [
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12,737 | matthews_correlation_coefficient | matthews_corrcoef | kc1 | **Author**: Mike Chapman, NASA
**Source**: [tera-PROMISE](http://openscience.us/repo/defect/mccabehalsted/kc1.html) - 2004
**Please cite**: Sayyad Shirabad, J. and Menzies, T.J. (2005) The PROMISE Repository of Software Engineering Databases. School of Information Technology and Engineering, University of Ottawa, C... | {0: [0 - loc (numeric)],
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8: [8 - i (numeric)],
9: [9 - e (numeric)],
10: [10 - b (numeric)],
11: [11 - t (numeric)],
12: [12 - lOCode (numeric)... | {'MajorityClassSize': 1783.0,
'MaxNominalAttDistinctValues': 2.0,
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'NumberOfClasses': 2.0,
'NumberOfFeatures': 22.0,
'NumberOfInstances': 2109.0,
'NumberOfInstancesWithMissingValues': 0.0,
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'NumberOfNumericFeatures': 21.0,
'NumberOfSymbolicFeatures': 1.0,... | kc1 | [
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75,203 | predictive_accuracy | accuracy_score | la1s.wc | null | {0: [0 - aa (numeric)],
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11: [11 - abdomen (numeric)... | {'MajorityClassSize': 943.0,
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'NumberOfSymbolicFeatures':... | la1s.wc | [
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10,099 | predictive_accuracy | accuracy_score | PieChart3 | **Author**: Hans Bauer Jesus","Deter Bergman
**Source**: Unknown - Date unknown
**Please cite**:
pie chart 3 | {0: [0 - a (numeric)],
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75,118 | predictive_accuracy | accuracy_score | autoUniv-au7-1100 | **Author**: Ray. J. Hickey
**Source**: UCI
**Please cite**:
* Dataset Title:
AutoUniv Dataset
data problem: autoUniv-au7-300-drift-au7-cpd1-800
* Abstract:
AutoUniv is an advanced data generator for classifications tasks. The aim is to reflect the nuances and heterogeneity of real data. Data can be ... | {0: [0 - V1 (numeric)],
1: [1 - V2 (numeric)],
2: [2 - V3 (numeric)],
3: [3 - V4 (numeric)],
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5: [5 - V6 (nominal)],
6: [6 - V7 (numeric)],
7: [7 - V8 (nominal)],
8: [8 - V9 (numeric)],
9: [9 - V10 (nominal)],
10: [10 - V11 (numeric)],
11: [11 - V12 (numeric)],
12: [12 - Class (nominal... | {'MajorityClassSize': 305.0,
'MaxNominalAttDistinctValues': 5.0,
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'NumberOfClasses': 5.0,
'NumberOfFeatures': 13.0,
'NumberOfInstances': 1100.0,
'NumberOfInstancesWithMissingValues': 0.0,
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... | autoUniv-au7-1100 | [
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75,131 | predictive_accuracy | accuracy_score | fri_c0_1000_5 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - binaryClass (nominal)]} | {'MajorityClassSize': 503.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 497.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
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'... | fri_c0_1000_5 | [
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"oz2",
"oz3",
"oz4",
"oz5"
] | [
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false,
false,
false
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10,098 | predictive_accuracy | accuracy_score | PieChart2 | **Author**: Hans Bauer Jesus","Deter Bergman
**Source**: Unknown - Date unknown
**Please cite**:
pie chart 2 | {0: [0 - a (numeric)],
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75,123 | predictive_accuracy | accuracy_score | abalone | **Author**:
**Source**: [original](http://www.openml.org/d/183) - UCI
**Please cite**:
* Abstract:
A 3-class version of abalone dataset.
* Sources:
(a) Original owners of database: Marine Resources Division Marine Research Laboratories - Taroona Department of Primary Industry and Fisheries, Tasmania GP... | {0: [0 - V1 (nominal)],
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4: [4 - V5 (numeric)],
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6: [6 - V7 (numeric)],
7: [7 - V8 (numeric)],
8: [8 - Class (nominal)]} | {'MajorityClassSize': 1447.0,
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... | abalone | [
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3,984 | predictive_accuracy | accuracy_score | AP_Breast_Lung | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
GEMLeR provides a collection of gene expression datasets that can be used for benchmarking gene expression oriented machine learning algorithms. They can be used for estimation of different quality metrics (e.g. accuracy, precision, area under ROC... | {0: [0 - ID_REF (numeric)],
1: [1 - 1007_s_at (numeric)],
2: [2 - 121_at (numeric)],
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7: [7 - 1552257_a_at (numeric)],
8: [8 - 1552283_s_at (numeric)],
9: [9 - 1552348_at (numeric)],
10: [10... | {'MajorityClassSize': 344.0,
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75,091 | predictive_accuracy | accuracy_score | autoUniv-au6-1000 | **Author**: Ray. J. Hickey
**Source**: UCI
**Please cite**:
* Dataset Title:
AutoUniv Dataset
data problem: autoUniv-au6-1000
* Abstract:
AutoUniv is an advanced data generator for classifications tasks. The aim is to reflect the nuances and heterogeneity of real data. Data can be generated in .c... | {0: [0 - V1 (numeric)],
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8: [8 - V9 (numeric)],
9: [9 - V10 (numeric)],
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11: [11 - V12 (nominal)],
12: [12 - V13 (numeric)]... | {'MajorityClassSize': 240.0,
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'NumberOfClasses': 8.0,
'NumberOfFeatures': 41.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
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... | autoUniv-au6-1000 | [
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10,097 | predictive_accuracy | accuracy_score | PieChart1 | **Author**: Hans Bauer Jesus","Deter Bergman
**Source**: Unknown - Date unknown
**Please cite**:
pie chart 1 | {0: [0 - a (numeric)],
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75,099 | predictive_accuracy | accuracy_score | kc1 | **Author**: Mike Chapman, NASA
**Source**: [tera-PROMISE](http://openscience.us/repo/defect/mccabehalsted/kc1.html) - 2004
**Please cite**: Sayyad Shirabad, J. and Menzies, T.J. (2005) The PROMISE Repository of Software Engineering Databases. School of Information Technology and Engineering, University of Ottawa, C... | {0: [0 - loc (numeric)],
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7: [7 - d (numeric)],
8: [8 - i (numeric)],
9: [9 - e (numeric)],
10: [10 - b (numeric)],
11: [11 - t (numeric)],
12: [12 - lOCode (numeric)... | {'MajorityClassSize': 1783.0,
'MaxNominalAttDistinctValues': 2.0,
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'NumberOfFeatures': 22.0,
'NumberOfInstances': 2109.0,
'NumberOfInstancesWithMissingValues': 0.0,
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'NumberOfSymbolicFeatures': 1.0,... | kc1 | [
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] | 2,451 |
75,201 | predictive_accuracy | accuracy_score | la2s.wc | null | {0: [0 - aa (numeric)],
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7: [7 - abbe (numeric)],
8: [8 - abc (numeric)],
9: [9 - abdi (numeric)],
10: [10 - abdomen (numeric)],
11: [11 - abdomin (numeric)],
... | {'MajorityClassSize': 905.0,
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'NumberOfNumericFeatures': 12432.0,
'NumberOfSymbolicFeatures':... | la2s.wc | [
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75,149 | predictive_accuracy | accuracy_score | fri_c3_1000_10 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - binaryClass (nominal)]} | {'MajorityClassSize': 560.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 440.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 11.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 10.0,
'NumberOfSymbolicFeatures': 1.0,
... | fri_c3_1000_10 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10"
] | [
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false,
false,
false,
false,
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] | 2,453 |
75,140 | predictive_accuracy | accuracy_score | fri_c4_1000_25 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': 547.0,
'MaxNominalAttDistinctValues': 2.0,
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'NumberOfClasses': 2.0,
'NumberOfFeatures': 26.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 25.0,
'NumberOfSymbolicFeatures': 1.0,
... | fri_c4_1000_25 | [
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] | 2,454 |
75,124 | predictive_accuracy | accuracy_score | bank-marketing | **Author**: Paulo Cortez, Sérgio Moro
**Source**: [original] (http://www.openml.org/d/1461) - UCI
**Please cite**: S. Moro, R. Laureano and P. Cortez. Using Data Mining for Bank Direct Marketing: An Application of the CRISP-DM Methodology. In P. Novais et al. (Eds.), Proceedings of the European Simulation and Mo... | {0: [0 - V1 (numeric)],
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7: [7 - V8 (nominal)],
8: [8 - V9 (nominal)],
9: [9 - V10 (numeric)],
10: [10 - V11 (nominal)],
11: [11 - V12 (numeric)],
12: [12 - V13 (numeric)]... | {'MajorityClassSize': 4000.0,
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'NumberOfClasses': 2.0,
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'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
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'NumberOfSymbolicFeatures': 10.0... | bank-marketing | [
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75,143 | predictive_accuracy | accuracy_score | analcatdata_supreme | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - Actions_taken (numeric)],
1: [1 - Liberal (numeric)],
2: [2 - Unconstitutional (numeric)],
3: [3 - Precedent_alteration (numeric)],
4: [4 - Unanimous (numeric)],
5: [5 - Year_of_decision (numeric)],
6: [6 - Lower_court_disagreement (numeric)],
7: [7 - binaryClass (nominal)]} | {'MajorityClassSize': 3081.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 971.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 8.0,
'NumberOfInstances': 4052.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 7.0,
'NumberOfSymbolicFeatures': 1.0,
... | analcatdata_supreme | [
"Actions_taken",
"Liberal",
"Unconstitutional",
"Precedent_alteration",
"Unanimous",
"Year_of_decision",
"Lower_court_disagreement"
] | [
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false,
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false,
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] | 2,456 |
75,130 | predictive_accuracy | accuracy_score | analcatdata_halloffame | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
analcatdata A collection of data sets used in the book "Analyzing Categorical Data,"
by Jeffrey S. Simonoff, Springer-Verlag, New York, 2003. The submission
consists of a zip file containing two versions of each of 84 data sets,
plus this READM... | {0: [0 - Player (nominal)],
1: [1 - Number_seasons (numeric)],
2: [2 - Games_played (numeric)],
3: [3 - At_bats (numeric)],
4: [4 - Runs (numeric)],
5: [5 - Hits (numeric)],
6: [6 - Doubles (numeric)],
7: [7 - Triples (numeric)],
8: [8 - Home_runs (numeric)],
9: [9 - RBIs (numeric)],
10: [10 - Walks (numeric)... | {'MajorityClassSize': 1215.0,
'MaxNominalAttDistinctValues': 7.0,
'MinorityClassSize': 57.0,
'NumberOfClasses': 3.0,
'NumberOfFeatures': 17.0,
'NumberOfInstances': 1340.0,
'NumberOfInstancesWithMissingValues': 20.0,
'NumberOfMissingValues': 20.0,
'NumberOfNumericFeatures': 15.0,
'NumberOfSymbolicFeatures': 2.0... | analcatdata_halloffame | [
"Number_seasons",
"Games_played",
"At_bats",
"Runs",
"Hits",
"Doubles",
"Triples",
"Home_runs",
"RBIs",
"Walks",
"Strikeouts",
"Batting_average",
"On_base_pct",
"Slugging_pct",
"Fielding_ave",
"Position"
] | [
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] | 2,457 |
75,092 | predictive_accuracy | accuracy_score | pc4 | **Author**: Mike Chapman, NASA
**Source**: [tera-PROMISE](http://openscience.us/repo/defect/mccabehalsted/pc1.html) - 2004
**Please cite**: Sayyad Shirabad, J. and Menzies, T.J. (2005) The PROMISE Repository of Software Engineering Databases. School of Information Technology and Engineering, University of Ottawa, C... | {0: [0 - LOC_BLANK (numeric)],
1: [1 - BRANCH_COUNT (numeric)],
2: [2 - CALL_PAIRS (numeric)],
3: [3 - LOC_CODE_AND_COMMENT (numeric)],
4: [4 - LOC_COMMENTS (numeric)],
5: [5 - CONDITION_COUNT (numeric)],
6: [6 - CYCLOMATIC_COMPLEXITY (numeric)],
7: [7 - CYCLOMATIC_DENSITY (numeric)],
8: [8 - DECISION_COUNT (nu... | {'MajorityClassSize': 1280.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 178.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 38.0,
'NumberOfInstances': 1458.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 37.0,
'NumberOfSymbolicFeatures': 1.0,... | pc4 | [
"LOC_BLANK",
"BRANCH_COUNT",
"CALL_PAIRS",
"LOC_CODE_AND_COMMENT",
"LOC_COMMENTS",
"CONDITION_COUNT",
"CYCLOMATIC_COMPLEXITY",
"CYCLOMATIC_DENSITY",
"DECISION_COUNT",
"DECISION_DENSITY",
"DESIGN_COMPLEXITY",
"DESIGN_DENSITY",
"EDGE_COUNT",
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75,157 | predictive_accuracy | accuracy_score | quake | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - focal_depth (numeric)],
1: [1 - latitude (numeric)],
2: [2 - longitude (numeric)],
3: [3 - binaryClass (nominal)]} | {'MajorityClassSize': 1209.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 969.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 4.0,
'NumberOfInstances': 2178.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3.0,
'NumberOfSymbolicFeatures': 1.0,
... | quake | [
"focal_depth",
"latitude",
"longitude"
] | [
false,
false,
false
] | 2,459 |
9,913 | predictive_accuracy | accuracy_score | dbworld-bodies | **Author**: Michele Filannino
**Source**: UCI
**Please cite**:
* Dataset:
DBworld e-mails data set
Task: dbworld-bodies
* Source:
Michele Filannino, PhD
University of Manchester
Centre for Doctoral Training
Email: filannim_AT_cs.man.ac.uk
* Data Set Information:
I collected 64 e-mails from DBWorld... | {0: [0 - V1 (nominal)],
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2: [2 - V3 (nominal)],
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4: [4 - V5 (nominal)],
5: [5 - V6 (nominal)],
6: [6 - V7 (nominal)],
7: [7 - V8 (nominal)],
8: [8 - V9 (nominal)],
9: [9 - V10 (nominal)],
10: [10 - V11 (nominal)],
11: [11 - V12 (nominal)],
12: [12 - V13 (nominal)]... | {'MajorityClassSize': 35.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 29.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 4703.0,
'NumberOfInstances': 64.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 0.0,
'NumberOfSymbolicFeatures': 4703.0,
... | dbworld-bodies | [
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75,150 | predictive_accuracy | accuracy_score | rmftsa_sleepdata | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - heart_rate (numeric)],
1: [1 - sleep_state (nominal)],
2: [2 - binaryClass (nominal)]} | {'MajorityClassSize': 515.0,
'MaxNominalAttDistinctValues': 4.0,
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'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1.0,
'NumberOfSymbolicFeatures': 2.0,
'... | rmftsa_sleepdata | [
"heart_rate",
"sleep_state"
] | [
false,
true
] | 2,461 |
3,895 | predictive_accuracy | accuracy_score | gina_prior | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
**Note: derived from MNIST?**
Datasets from the Agnostic Learning vs. Prior Knowledge Challenge (http://www.agnostic.inf.ethz.ch)
Dataset from: http://www.agnostic.inf.ethz.ch/datasets.php
Modified by TunedIT (converted to ARFF format)
GINA i... | {0: [0 - pixel1 (numeric)],
1: [1 - pixel2 (numeric)],
2: [2 - pixel3 (numeric)],
3: [3 - pixel4 (numeric)],
4: [4 - pixel5 (numeric)],
5: [5 - pixel6 (numeric)],
6: [6 - pixel7 (numeric)],
7: [7 - pixel8 (numeric)],
8: [8 - pixel9 (numeric)],
9: [9 - pixel10 (numeric)],
10: [10 - pixel11 (numeric)],
11: [11... | {'MajorityClassSize': 1763.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 1705.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 785.0,
'NumberOfInstances': 3468.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 784.0,
'NumberOfSymbolicFeatures': 1... | gina_prior | [
"pixel1",
"pixel2",
"pixel3",
"pixel4",
"pixel5",
"pixel6",
"pixel7",
"pixel8",
"pixel9",
"pixel10",
"pixel11",
"pixel12",
"pixel13",
"pixel14",
"pixel15",
"pixel16",
"pixel17",
"pixel18",
"pixel19",
"pixel20",
"pixel21",
"pixel22",
"pixel23",
"pixel24",
"pixel25",
... | [
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f... | 2,462 |
75,152 | predictive_accuracy | accuracy_score | fri_c4_1000_10 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - binaryClass (nominal)]} | {'MajorityClassSize': 560.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 440.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 11.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 10.0,
'NumberOfSymbolicFeatures': 1.0,
... | fri_c4_1000_10 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 2,463 |
75,148 | predictive_accuracy | accuracy_score | space_ga | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - ln(VOTES/POP) (numeric)],
1: [1 - POP (numeric)],
2: [2 - EDUCATION (numeric)],
3: [3 - HOUSES (numeric)],
4: [4 - INCOME (numeric)],
5: [5 - XCOORD (numeric)],
6: [6 - binaryClass (nominal)]} | {'MajorityClassSize': 1566.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 1541.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 7.0,
'NumberOfInstances': 3107.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 1.0,
... | space_ga | [
"ln(VOTES/POP)",
"POP",
"EDUCATION",
"HOUSES",
"INCOME",
"XCOORD"
] | [
false,
false,
false,
false,
false,
false
] | 2,464 |
75,138 | predictive_accuracy | accuracy_score | abalone | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - Sex (nominal)],
1: [1 - Length (numeric)],
2: [2 - Diameter (numeric)],
3: [3 - Height (numeric)],
4: [4 - Whole weight (numeric)],
5: [5 - Shucked weight (numeric)],
6: [6 - Viscera weight (numeric)],
7: [7 - Shell weight (numeric)],
8: [8 - binaryClass (nominal)]} | {'MajorityClassSize': 2096.0,
'MaxNominalAttDistinctValues': 3.0,
'MinorityClassSize': 2081.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 9.0,
'NumberOfInstances': 4177.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 7.0,
'NumberOfSymbolicFeatures': 2.0,
... | abalone | [
"Sex",
"Length",
"Diameter",
"Height",
"Whole weight",
"Shucked weight",
"Viscera weight",
"Shell weight"
] | [
true,
false,
false,
false,
false,
false,
false,
false
] | 2,465 |
75,136 | predictive_accuracy | accuracy_score | fri_c3_1000_25 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': 557.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 443.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 26.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 25.0,
'NumberOfSymbolicFeatures': 1.0,
... | fri_c3_1000_25 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25"
] | [
false,
false,
false,
false,
false,
false,
false,
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false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 2,466 |
75,141 | predictive_accuracy | accuracy_score | bank8FM | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - a1cx (numeric)],
1: [1 - a1cy (numeric)],
2: [2 - b2x (numeric)],
3: [3 - b2y (numeric)],
4: [4 - a2pop (numeric)],
5: [5 - a3pop (numeric)],
6: [6 - temp (numeric)],
7: [7 - mxql (numeric)],
8: [8 - binaryClass (nominal)]} | {'MajorityClassSize': 4885.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 3307.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 9.0,
'NumberOfInstances': 8192.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 8.0,
'NumberOfSymbolicFeatures': 1.0,
... | bank8FM | [
"a1cx",
"a1cy",
"b2x",
"b2y",
"a2pop",
"a3pop",
"temp",
"mxql"
] | [
false,
false,
false,
false,
false,
false,
false,
false
] | 2,467 |
3,987 | predictive_accuracy | accuracy_score | AP_Colon_Ovary | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
GEMLeR provides a collection of gene expression datasets that can be used for benchmarking gene expression oriented machine learning algorithms. They can be used for estimation of different quality metrics (e.g. accuracy, precision, area under ROC... | {0: [0 - ID_REF (numeric)],
1: [1 - 1007_s_at (numeric)],
2: [2 - 121_at (numeric)],
3: [3 - 1405_i_at (numeric)],
4: [4 - 1438_at (numeric)],
5: [5 - 1487_at (numeric)],
6: [6 - 1494_f_at (numeric)],
7: [7 - 1552256_a_at (numeric)],
8: [8 - 1552257_a_at (numeric)],
9: [9 - 1552281_at (numeric)],
10: [10 - 15... | {'MajorityClassSize': 286.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 198.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 10936.0,
'NumberOfInstances': 484.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 10935.0,
'NumberOfSymbolicFeatures': ... | AP_Colon_Ovary | [
"1007_s_at",
"121_at",
"1405_i_at",
"1438_at",
"1487_at",
"1494_f_at",
"1552256_a_at",
"1552257_a_at",
"1552281_at",
"1552348_at",
"1552349_a_at",
"1552365_at",
"1552368_at",
"1552426_a_at",
"1552504_a_at",
"1552519_at",
"1552566_at",
"1552594_at",
"1552610_a_at",
"1552619_a_at... | [
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f... | 2,468 |
75,129 | predictive_accuracy | accuracy_score | pc3 | **Author**: Mike Chapman, NASA
**Source**: [tera-PROMISE](http://openscience.us/repo/defect/mccabehalsted/pc3.html) - 2004
**Please cite**: Sayyad Shirabad, J. and Menzies, T.J. (2005) The PROMISE Repository of Software Engineering Databases. School of Information Technology and Engineering, University of Ottawa, C... | {0: [0 - LOC_BLANK (numeric)],
1: [1 - BRANCH_COUNT (numeric)],
2: [2 - CALL_PAIRS (numeric)],
3: [3 - LOC_CODE_AND_COMMENT (numeric)],
4: [4 - LOC_COMMENTS (numeric)],
5: [5 - CONDITION_COUNT (numeric)],
6: [6 - CYCLOMATIC_COMPLEXITY (numeric)],
7: [7 - CYCLOMATIC_DENSITY (numeric)],
8: [8 - DECISION_COUNT (nu... | {'MajorityClassSize': 1403.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 160.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 38.0,
'NumberOfInstances': 1563.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 37.0,
'NumberOfSymbolicFeatures': 1.0,... | pc3 | [
"LOC_BLANK",
"BRANCH_COUNT",
"CALL_PAIRS",
"LOC_CODE_AND_COMMENT",
"LOC_COMMENTS",
"CONDITION_COUNT",
"CYCLOMATIC_COMPLEXITY",
"CYCLOMATIC_DENSITY",
"DECISION_COUNT",
"DECISION_DENSITY",
"DESIGN_COMPLEXITY",
"DESIGN_DENSITY",
"EDGE_COUNT",
"ESSENTIAL_COMPLEXITY",
"ESSENTIAL_DENSITY",
"... | [
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f... | 2,469 |
75,147 | predictive_accuracy | accuracy_score | cpu_small | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - lread (numeric)],
1: [1 - lwrite (numeric)],
2: [2 - scall (numeric)],
3: [3 - sread (numeric)],
4: [4 - swrite (numeric)],
5: [5 - fork (numeric)],
6: [6 - exec (numeric)],
7: [7 - rchar (numeric)],
8: [8 - wchar (numeric)],
9: [9 - runqsz (numeric)],
10: [10 - freemem (numeric)],
11: [11 - freeswa... | {'MajorityClassSize': 5715.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 2477.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 13.0,
'NumberOfInstances': 8192.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 12.0,
'NumberOfSymbolicFeatures': 1.0... | cpu_small | [
"lread",
"lwrite",
"scall",
"sread",
"swrite",
"fork",
"exec",
"rchar",
"wchar",
"runqsz",
"freemem",
"freeswap"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 2,470 |
75,170 | predictive_accuracy | accuracy_score | fri_c3_1000_5 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - binaryClass (nominal)]} | {'MajorityClassSize': 563.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 437.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 5.0,
'NumberOfSymbolicFeatures': 1.0,
'... | fri_c3_1000_5 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5"
] | [
false,
false,
false,
false,
false
] | 2,471 |
75,159 | predictive_accuracy | accuracy_score | pc1 | **Author**: Mike Chapman, NASA
**Source**: [tera-PROMISE](http://openscience.us/repo/defect/mccabehalsted/pc1.html) - 2004
**Please cite**: Sayyad Shirabad, J. and Menzies, T.J. (2005) The PROMISE Repository of Software Engineering Databases. School of Information Technology and Engineering, University of Ottawa, C... | {0: [0 - loc (numeric)],
1: [1 - v(g) (numeric)],
2: [2 - ev(g) (numeric)],
3: [3 - iv(G) (numeric)],
4: [4 - N (numeric)],
5: [5 - V (numeric)],
6: [6 - L (numeric)],
7: [7 - D (numeric)],
8: [8 - I (numeric)],
9: [9 - E (numeric)],
10: [10 - B (numeric)],
11: [11 - T (numeric)],
12: [12 - lOCode (numeric)... | {'MajorityClassSize': 1032.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 77.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 22.0,
'NumberOfInstances': 1109.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 21.0,
'NumberOfSymbolicFeatures': 1.0,
... | pc1 | [
"loc",
"v(g)",
"ev(g)",
"iv(G)",
"N",
"V",
"L",
"D",
"I",
"E",
"B",
"T",
"lOCode",
"lOComment",
"locCodeAndComment",
"lOBlank",
"uniq_Op",
"uniq_Opnd",
"total_Op",
"total_Opnd",
"branchCount"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 2,472 |
3,931 | predictive_accuracy | accuracy_score | BurkittLymphoma | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Data from the RSCTC 2010 Discovery Challenge. All datasets contain between 100 and 400 samples, characterized by values of 20,000 - 65,000 attributes. Samples are assigned to several (2-10) classes. All attributes are numeric and represent measure... | {0: [0 - Var1 (numeric)],
1: [1 - Var2 (numeric)],
2: [2 - Var3 (numeric)],
3: [3 - Var4 (numeric)],
4: [4 - Var5 (numeric)],
5: [5 - Var6 (numeric)],
6: [6 - Var7 (numeric)],
7: [7 - Var8 (numeric)],
8: [8 - Var9 (numeric)],
9: [9 - Var10 (numeric)],
10: [10 - Var11 (numeric)],
11: [11 - Var12 (numeric)],
... | {'MajorityClassSize': 128.0,
'MaxNominalAttDistinctValues': 3.0,
'MinorityClassSize': 44.0,
'NumberOfClasses': 3.0,
'NumberOfFeatures': 22284.0,
'NumberOfInstances': 220.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 22283.0,
'NumberOfSymbolicFeatures': 1... | BurkittLymphoma | [
"Var1",
"Var2",
"Var3",
"Var4",
"Var5",
"Var6",
"Var7",
"Var8",
"Var9",
"Var10",
"Var11",
"Var12",
"Var13",
"Var14",
"Var15",
"Var16",
"Var17",
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"Var19",
"Var20",
"Var21",
"Var22",
"Var23",
"Var24",
"Var25",
"Var26",
"Var27",
"Var28",
"Var29",
"Var30... | [
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f... | 2,473 |
75,163 | predictive_accuracy | accuracy_score | delta_ailerons | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - RollRate (numeric)],
1: [1 - PitchRate (numeric)],
2: [2 - currPitch (numeric)],
3: [3 - currRoll (numeric)],
4: [4 - diffRollRate (numeric)],
5: [5 - binaryClass (nominal)]} | {'MajorityClassSize': 3783.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 3346.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 7129.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 5.0,
'NumberOfSymbolicFeatures': 1.0,
... | delta_ailerons | [
"RollRate",
"PitchRate",
"currPitch",
"currRoll",
"diffRollRate"
] | [
false,
false,
false,
false,
false
] | 2,474 |
75,100 | predictive_accuracy | accuracy_score | pc2 | **Author**: Mike Chapman, NASA
**Source**: [tera-PROMISE](http://openscience.us/repo/defect/mccabehalsted/pc2.html) - 2004
**Please cite**: Sayyad Shirabad, J. and Menzies, T.J. (2005) The PROMISE Repository of Software Engineering Databases. School of Information Technology and Engineering, University of Ottawa, C... | {0: [0 - BRANCH_COUNT (numeric)],
1: [1 - CALL_PAIRS (numeric)],
2: [2 - LOC_CODE_AND_COMMENT (numeric)],
3: [3 - LOC_COMMENTS (numeric)],
4: [4 - CONDITION_COUNT (numeric)],
5: [5 - CYCLOMATIC_COMPLEXITY (numeric)],
6: [6 - CYCLOMATIC_DENSITY (numeric)],
7: [7 - DECISION_COUNT (numeric)],
8: [8 - DECISION_DENS... | {'MajorityClassSize': 5566.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 23.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 37.0,
'NumberOfInstances': 5589.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 36.0,
'NumberOfSymbolicFeatures': 1.0,
... | pc2 | [
"BRANCH_COUNT",
"CALL_PAIRS",
"LOC_CODE_AND_COMMENT",
"LOC_COMMENTS",
"CONDITION_COUNT",
"CYCLOMATIC_COMPLEXITY",
"CYCLOMATIC_DENSITY",
"DECISION_COUNT",
"DECISION_DENSITY",
"DESIGN_COMPLEXITY",
"DESIGN_DENSITY",
"EDGE_COUNT",
"ESSENTIAL_COMPLEXITY",
"ESSENTIAL_DENSITY",
"LOC_EXECUTABLE"... | [
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f... | 2,475 |
75,162 | predictive_accuracy | accuracy_score | fri_c2_1000_10 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - binaryClass (nominal)]} | {'MajorityClassSize': 580.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 420.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 11.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 10.0,
'NumberOfSymbolicFeatures': 1.0,
... | fri_c2_1000_10 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 2,476 |
75,206 | predictive_accuracy | accuracy_score | fri_c2_1000_5 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - binaryClass (nominal)]} | {'MajorityClassSize': 584.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 416.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 5.0,
'NumberOfSymbolicFeatures': 1.0,
'... | fri_c2_1000_5 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5"
] | [
false,
false,
false,
false,
false
] | 2,477 |
75,183 | predictive_accuracy | accuracy_score | fri_c0_1000_10 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - binaryClass (nominal)]} | {'MajorityClassSize': 509.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 491.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 11.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 10.0,
'NumberOfSymbolicFeatures': 1.0,
... | fri_c0_1000_10 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 2,478 |
75,173 | predictive_accuracy | accuracy_score | delta_elevators | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - climbRate (numeric)],
1: [1 - Altitude (numeric)],
2: [2 - RollRate (numeric)],
3: [3 - curRoll (numeric)],
4: [4 - diffClb (numeric)],
5: [5 - diffDiffClb (numeric)],
6: [6 - binaryClass (nominal)]} | {'MajorityClassSize': 4785.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 4732.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 7.0,
'NumberOfInstances': 9517.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 1.0,
... | delta_elevators | [
"climbRate",
"Altitude",
"RollRate",
"curRoll",
"diffClb",
"diffDiffClb"
] | [
false,
false,
false,
false,
false,
false
] | 2,479 |
75,192 | predictive_accuracy | accuracy_score | pollen | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - RIDGE (numeric)],
1: [1 - NUB (numeric)],
2: [2 - CRACK (numeric)],
3: [3 - WEIGHT (numeric)],
4: [4 - DENSITY (numeric)],
5: [5 - binaryClass (nominal)]} | {'MajorityClassSize': 1924.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 1924.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 3848.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 5.0,
'NumberOfSymbolicFeatures': 1.0,
... | pollen | [
"RIDGE",
"NUB",
"CRACK",
"WEIGHT",
"DENSITY"
] | [
false,
false,
false,
false,
false
] | 2,480 |
75,194 | predictive_accuracy | accuracy_score | fri_c1_1000_5 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - binaryClass (nominal)]} | {'MajorityClassSize': 543.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 457.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 5.0,
'NumberOfSymbolicFeatures': 1.0,
'... | fri_c1_1000_5 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5"
] | [
false,
false,
false,
false,
false
] | 2,481 |
75,208 | predictive_accuracy | accuracy_score | balloon | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - id (numeric)], 1: [1 - raw (numeric)], 2: [2 - binaryClass (nominal)]} | {'MajorityClassSize': 1519.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 482.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 2.0,
'NumberOfInstances': 2001.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1.0,
'NumberOfSymbolicFeatures': 1.0,
... | balloon | [
"raw"
] | [
false
] | 2,482 |
75,213 | predictive_accuracy | accuracy_score | socmob | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - fathers_occupation (nominal)],
1: [1 - sons_occupation (nominal)],
2: [2 - family_structure (nominal)],
3: [3 - race (nominal)],
4: [4 - counts_for_sons_first_occupation (numeric)],
5: [5 - binaryClass (nominal)]} | {'MajorityClassSize': 900.0,
'MaxNominalAttDistinctValues': 17.0,
'MinorityClassSize': 256.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 6.0,
'NumberOfInstances': 1156.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 1.0,
'NumberOfSymbolicFeatures': 5.0,
... | socmob | [
"fathers_occupation",
"sons_occupation",
"family_structure",
"race",
"counts_for_sons_first_occupation"
] | [
true,
true,
true,
true,
false
] | 2,483 |
4,645 | predictive_accuracy | accuracy_score | leukemia | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression Monitoring.
Science, VOL 286, pp. 531-537, 15 October 1999.
Web supplement to the article
T.R. Golub, D. K. Slonim, P. Tamayo, C. Huard, M. Gaasenbeek, J... | {0: [0 - AFFX-BioB-5_at (numeric)],
1: [1 - AFFX-BioB-M_at (numeric)],
2: [2 - AFFX-BioB-3_at (numeric)],
3: [3 - AFFX-BioC-5_at (numeric)],
4: [4 - AFFX-BioC-3_at (numeric)],
5: [5 - AFFX-BioDn-5_at (numeric)],
6: [6 - AFFX-BioDn-3_at (numeric)],
7: [7 - AFFX-CreX-5_at (numeric)],
8: [8 - AFFX-CreX-3_at (numer... | {'MajorityClassSize': 47.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 25.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 7130.0,
'NumberOfInstances': 72.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 7129.0,
'NumberOfSymbolicFeatures': 1.0,
... | leukemia | [
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"AFFX-BioB-3_at",
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"AFFX-BioC-5_st",
"AFFX-BioC-3_st",
"AFFX-BioDn-5_st",
"AFFX-BioDn-3... | [
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f... | 2,484 |
75,171 | predictive_accuracy | accuracy_score | puma8NH | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - theta1 (numeric)],
1: [1 - theta2 (numeric)],
2: [2 - theta3 (numeric)],
3: [3 - thetad1 (numeric)],
4: [4 - thetad2 (numeric)],
5: [5 - thetad3 (numeric)],
6: [6 - tau1 (numeric)],
7: [7 - tau2 (numeric)],
8: [8 - binaryClass (nominal)]} | {'MajorityClassSize': 4114.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 4078.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 9.0,
'NumberOfInstances': 8192.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 8.0,
'NumberOfSymbolicFeatures': 1.0,
... | puma8NH | [
"theta1",
"theta2",
"theta3",
"thetad1",
"thetad2",
"thetad3",
"tau1",
"tau2"
] | [
false,
false,
false,
false,
false,
false,
false,
false
] | 2,485 |
13,004 | matthews_correlation_coefficient | matthews_corrcoef | mc1 | **Author**: Mike Chapman, NASA
**Source**: [tera-PROMISE](http://openscience.us/repo/defect/mccabehalsted/mc1.html) - 2004
**Please cite**: Sayyad Shirabad, J. and Menzies, T.J. (2005) The PROMISE Repository of Software Engineering Databases. School of Information Technology and Engineering, University of Ottawa, C... | {0: [0 - LOC_BLANK (numeric)],
1: [1 - BRANCH_COUNT (numeric)],
2: [2 - CALL_PAIRS (numeric)],
3: [3 - LOC_CODE_AND_COMMENT (numeric)],
4: [4 - LOC_COMMENTS (numeric)],
5: [5 - CONDITION_COUNT (numeric)],
6: [6 - CYCLOMATIC_COMPLEXITY (numeric)],
7: [7 - CYCLOMATIC_DENSITY (numeric)],
8: [8 - DECISION_COUNT (nu... | {'MajorityClassSize': 9398.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 68.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 39.0,
'NumberOfInstances': 9466.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 38.0,
'NumberOfSymbolicFeatures': 1.0,
... | mc1 | [
"LOC_BLANK",
"BRANCH_COUNT",
"CALL_PAIRS",
"LOC_CODE_AND_COMMENT",
"LOC_COMMENTS",
"CONDITION_COUNT",
"CYCLOMATIC_COMPLEXITY",
"CYCLOMATIC_DENSITY",
"DECISION_COUNT",
"DESIGN_COMPLEXITY",
"DESIGN_DENSITY",
"EDGE_COUNT",
"ESSENTIAL_COMPLEXITY",
"ESSENTIAL_DENSITY",
"LOC_EXECUTABLE",
"PA... | [
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f... | 2,486 |
75,166 | predictive_accuracy | accuracy_score | kin8nm | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - theta1 (numeric)],
1: [1 - theta2 (numeric)],
2: [2 - theta3 (numeric)],
3: [3 - theta4 (numeric)],
4: [4 - theta5 (numeric)],
5: [5 - theta6 (numeric)],
6: [6 - theta7 (numeric)],
7: [7 - theta8 (numeric)],
8: [8 - binaryClass (nominal)]} | {'MajorityClassSize': 4168.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 4024.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 9.0,
'NumberOfInstances': 8192.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 8.0,
'NumberOfSymbolicFeatures': 1.0,
... | kin8nm | [
"theta1",
"theta2",
"theta3",
"theta4",
"theta5",
"theta6",
"theta7",
"theta8"
] | [
false,
false,
false,
false,
false,
false,
false,
false
] | 2,487 |
75,160 | predictive_accuracy | accuracy_score | fri_c4_1000_50 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': 560.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 440.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 51.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 50.0,
'NumberOfSymbolicFeatures': 1.0,
... | fri_c4_1000_50 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
"oz12",
"oz13",
"oz14",
"oz15",
"oz16",
"oz17",
"oz18",
"oz19",
"oz20",
"oz21",
"oz22",
"oz23",
"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
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f... | 2,488 |
75,204 | predictive_accuracy | accuracy_score | fri_c1_1000_10 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - binaryClass (nominal)]} | {'MajorityClassSize': 564.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 436.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 11.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 10.0,
'NumberOfSymbolicFeatures': 1.0,
... | fri_c1_1000_10 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10"
] | [
false,
false,
false,
false,
false,
false,
false,
false,
false,
false
] | 2,489 |
75,158 | predictive_accuracy | accuracy_score | cardiotocography | **Author**: J. P. Marques de Sá, J. Bernardes, D. Ayers de Campos.
**Source**: [original](http://www.openml.org/d/1466) - UCI
**Please cite**:
A 3-class version of Cardiotocography dataset. | {0: [0 - V1 (numeric)],
1: [1 - V2 (numeric)],
2: [2 - V3 (numeric)],
3: [3 - V4 (numeric)],
4: [4 - V5 (numeric)],
5: [5 - V6 (numeric)],
6: [6 - V7 (numeric)],
7: [7 - V8 (numeric)],
8: [8 - V9 (numeric)],
9: [9 - V10 (numeric)],
10: [10 - V11 (numeric)],
11: [11 - V12 (numeric)],
12: [12 - V13 (numeric)]... | {'MajorityClassSize': 1655.0,
'MaxNominalAttDistinctValues': 3.0,
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'NumberOfClasses': 3.0,
'NumberOfFeatures': 36.0,
'NumberOfInstances': 2126.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 35.0,
'NumberOfSymbolicFeatures': 1.0,... | cardiotocography | [
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] | 2,490 |
75,165 | predictive_accuracy | accuracy_score | fri_c3_1000_50 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': 555.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 445.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 51.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 50.0,
'NumberOfSymbolicFeatures': 1.0,
... | fri_c3_1000_50 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
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"oz13",
"oz14",
"oz15",
"oz16",
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"oz24",
"oz25",
"oz26",
"oz27",
"oz28",
"oz29",
"oz30",
"oz31",
"oz32",
"oz33... | [
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f... | 2,491 |
75,199 | predictive_accuracy | accuracy_score | fri_c2_1000_25 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': 563.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 437.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 26.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 25.0,
'NumberOfSymbolicFeatures': 1.0,
... | fri_c2_1000_25 | [
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"oz3",
"oz4",
"oz5",
"oz6",
"oz7",
"oz8",
"oz9",
"oz10",
"oz11",
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4,690 | predictive_accuracy | accuracy_score | AP_Endometrium_Omentum | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
GEMLeR provides a collection of gene expression datasets that can be used for benchmarking gene expression oriented machine learning algorithms. They can be used for estimation of different quality metrics (e.g. accuracy, precision, area under ROC... | {0: [0 - ID_REF (numeric)],
1: [1 - 1007_s_at (numeric)],
2: [2 - 121_at (numeric)],
3: [3 - 1405_i_at (numeric)],
4: [4 - 1438_at (numeric)],
5: [5 - 1552256_a_at (numeric)],
6: [6 - 1552289_a_at (numeric)],
7: [7 - 1552309_a_at (numeric)],
8: [8 - 1552347_at (numeric)],
9: [9 - 1552348_at (numeric)],
10: [1... | {'MajorityClassSize': 77.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 61.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 10936.0,
'NumberOfInstances': 138.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 10935.0,
'NumberOfSymbolicFeatures': 1.... | AP_Endometrium_Omentum | [
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"121_at",
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f... | 2,494 |
75,210 | predictive_accuracy | accuracy_score | visualizing_soil | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - northing (numeric)],
1: [1 - easting (numeric)],
2: [2 - resistivity (numeric)],
3: [3 - isns (nominal)],
4: [4 - binaryClass (nominal)]} | {'MajorityClassSize': 4753.0,
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'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 3.0,
'NumberOfSymbolicFeatures': 2.0,
... | visualizing_soil | [
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"easting",
"resistivity",
"isns"
] | [
false,
false,
false,
true
] | 2,495 |
75,196 | predictive_accuracy | accuracy_score | colleges_aaup | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - FICE (numeric)],
1: [1 - College_name (nominal)],
2: [2 - State (nominal)],
3: [3 - Type (nominal)],
4: [4 - Average_salary-full_professors (numeric)],
5: [5 - Average_salary-associate_professors (numeric)],
6: [6 - Average_salary-assistant_professors (numeric)],
7: [7 - Average_salary-all_ranks (numeri... | {'MajorityClassSize': 813.0,
'MaxNominalAttDistinctValues': 52.0,
'MinorityClassSize': 348.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 16.0,
'NumberOfInstances': 1161.0,
'NumberOfInstancesWithMissingValues': 87.0,
'NumberOfMissingValues': 256.0,
'NumberOfNumericFeatures': 13.0,
'NumberOfSymbolicFeatures': 3... | colleges_aaup | [
"FICE",
"State",
"Type",
"Average_salary-full_professors",
"Average_salary-associate_professors",
"Average_salary-assistant_professors",
"Average_salary-all_ranks",
"Average_compensation-full_professors",
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"... | [
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] | 2,496 |
75,185 | predictive_accuracy | accuracy_score | wind | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - year (numeric)],
1: [1 - month (numeric)],
2: [2 - day (numeric)],
3: [3 - RPT (numeric)],
4: [4 - VAL (numeric)],
5: [5 - ROS (numeric)],
6: [6 - KIL (numeric)],
7: [7 - SHA (numeric)],
8: [8 - BIR (numeric)],
9: [9 - DUB (numeric)],
10: [10 - CLA (numeric)],
11: [11 - MUL (numeric)],
12: [12 - CL... | {'MajorityClassSize': 3501.0,
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'MinorityClassSize': 3073.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 15.0,
'NumberOfInstances': 6574.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 14.0,
'NumberOfSymbolicFeatures': 1.0... | wind | [
"year",
"month",
"day",
"RPT",
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"ROS",
"KIL",
"SHA",
"BIR",
"DUB",
"CLA",
"MUL",
"CLO",
"BEL"
] | [
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] | 2,497 |
75,186 | predictive_accuracy | accuracy_score | fri_c0_1000_25 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': 503.0,
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'NumberOfClasses': 2.0,
'NumberOfFeatures': 26.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 25.0,
'NumberOfSymbolicFeatures': 1.0,
... | fri_c0_1000_25 | [
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] | 2,498 |
75,220 | predictive_accuracy | accuracy_score | mfeat-morphological | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). The multi-class target feature is converted to a two-class nominal target feature by re-labeling the majority class as positive ('P') and all others as negative ('N'). Originally converte... | {0: [0 - att1 (numeric)],
1: [1 - att2 (numeric)],
2: [2 - att3 (numeric)],
3: [3 - att4 (numeric)],
4: [4 - att5 (numeric)],
5: [5 - att6 (numeric)],
6: [6 - binaryClass (nominal)]} | {'MajorityClassSize': 1800.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 200.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 7.0,
'NumberOfInstances': 2000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 6.0,
'NumberOfSymbolicFeatures': 1.0,
... | mfeat-morphological | [
"att1",
"att2",
"att3",
"att4",
"att5",
"att6"
] | [
false,
false,
false,
false,
false,
false
] | 2,499 |
4,670 | predictive_accuracy | accuracy_score | AP_Prostate_Uterus | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
GEMLeR provides a collection of gene expression datasets that can be used for benchmarking gene expression oriented machine learning algorithms. They can be used for estimation of different quality metrics (e.g. accuracy, precision, area under ROC... | {0: [0 - ID_REF (numeric)],
1: [1 - 1007_s_at (numeric)],
2: [2 - 121_at (numeric)],
3: [3 - 1405_i_at (numeric)],
4: [4 - 1438_at (numeric)],
5: [5 - 1552257_a_at (numeric)],
6: [6 - 1552261_at (numeric)],
7: [7 - 1552309_a_at (numeric)],
8: [8 - 1552348_at (numeric)],
9: [9 - 1552365_at (numeric)],
10: [10 ... | {'MajorityClassSize': 124.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 69.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 10936.0,
'NumberOfInstances': 193.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 10935.0,
'NumberOfSymbolicFeatures': 1... | AP_Prostate_Uterus | [
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"121_at",
"1405_i_at",
"1438_at",
"1552257_a_at",
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"1552348_at",
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"1552615_at",
"1552619_a_at",
"1552621_at",
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"1552... | [
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f... | 2,500 |
75,180 | predictive_accuracy | accuracy_score | fri_c1_1000_50 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': 547.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 453.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 51.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 50.0,
'NumberOfSymbolicFeatures': 1.0,
... | fri_c1_1000_50 | [
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f... | 2,501 |
75,218 | predictive_accuracy | accuracy_score | segment | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). The multi-class target feature is converted to a two-class nominal target feature by re-labeling the majority class as positive ('P') and all others as negative ('N'). Originally converte... | {0: [0 - region-centroid-col (numeric)],
1: [1 - region-centroid-row (numeric)],
2: [2 - region-pixel-count (numeric)],
3: [3 - short-line-density-5 (numeric)],
4: [4 - short-line-density-2 (numeric)],
5: [5 - vedge-mean (numeric)],
6: [6 - vegde-sd (numeric)],
7: [7 - hedge-mean (numeric)],
8: [8 - hedge-sd (n... | {'MajorityClassSize': 1980.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 330.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 20.0,
'NumberOfInstances': 2310.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 19.0,
'NumberOfSymbolicFeatures': 1.0,... | segment | [
"region-centroid-col",
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"hedge-mean",
"hedge-sd",
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"rawblue-mean",
"rawgreen-mean",
"exred-mean",
"exblue-mean",
"exgreen-mean",
"valu... | [
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] | 2,502 |
75,137 | predictive_accuracy | accuracy_score | fri_c4_1000_100 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': 564.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 436.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 101.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 100.0,
'NumberOfSymbolicFeatures': 1.0... | fri_c4_1000_100 | [
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75,187 | predictive_accuracy | accuracy_score | twonorm | **Author**: Michael Revow
**Source**: http://www.cs.toronto.edu/~delve/data/twonorm/desc.html
**Please cite**:
* Twonorm dataset
This is an implementation of Leo Breiman's twonorm example[1]. It is a 20 dimensional, 2 class classification example. Each class is drawn from a multivariate normal distributio... | {0: [0 - V1 (numeric)],
1: [1 - V2 (numeric)],
2: [2 - V3 (numeric)],
3: [3 - V4 (numeric)],
4: [4 - V5 (numeric)],
5: [5 - V6 (numeric)],
6: [6 - V7 (numeric)],
7: [7 - V8 (numeric)],
8: [8 - V9 (numeric)],
9: [9 - V10 (numeric)],
10: [10 - V11 (numeric)],
11: [11 - V12 (numeric)],
12: [12 - V13 (numeric)]... | {'MajorityClassSize': 3703.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 3697.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 21.0,
'NumberOfInstances': 7400.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 20.0,
'NumberOfSymbolicFeatures': 1.0... | twonorm | [
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"V3",
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"V6",
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"V10",
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"V17",
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] | 2,504 |
75,209 | predictive_accuracy | accuracy_score | fri_c1_1000_25 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': 546.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 454.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 26.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 25.0,
'NumberOfSymbolicFeatures': 1.0,
... | fri_c1_1000_25 | [
"oz1",
"oz2",
"oz3",
"oz4",
"oz5",
"oz6",
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] | 2,505 |
75,200 | predictive_accuracy | accuracy_score | fri_c0_1000_50 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
2: [2 - oz3 (numeric)],
3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
7: [7 - oz8 (numeric)],
8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': 510.0,
'MaxNominalAttDistinctValues': 2.0,
'MinorityClassSize': 490.0,
'NumberOfClasses': 2.0,
'NumberOfFeatures': 51.0,
'NumberOfInstances': 1000.0,
'NumberOfInstancesWithMissingValues': 0.0,
'NumberOfMissingValues': 0.0,
'NumberOfNumericFeatures': 50.0,
'NumberOfSymbolicFeatures': 1.0,
... | fri_c0_1000_50 | [
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"oz33... | [
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75,154 | predictive_accuracy | accuracy_score | one-hundred-plants-margin | **Author**: James Cope, Thibaut Beghin, Paolo Remagnino, Sarah Barman.
**Source**: [UCI](https://archive.ics.uci.edu/ml/datasets/One-hundred+plant+species+leaves+data+set) - 2010
**Please cite**: Charles Mallah, James Cope, James Orwell. Plant Leaf Classification Using Probabilistic Integration of Shape, Texture a... | {0: [0 - V1 (numeric)],
1: [1 - V2 (numeric)],
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8: [8 - V9 (numeric)],
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12: [12 - V13 (numeric)]... | {'MajorityClassSize': 16.0,
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'NumberOfSymbolicFeatures': 1.0... | one-hundred-plants-margin | [
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f... | 2,507 |
75,190 | predictive_accuracy | accuracy_score | fri_c2_1000_50 | **Author**:
**Source**: Unknown - Date unknown
**Please cite**:
Binarized version of the original data set (see version 1). It converts the numeric target feature to a two-class nominal target feature by computing the mean and classifying all instances with a lower target value as positive ('P') and all others... | {0: [0 - oz1 (numeric)],
1: [1 - oz2 (numeric)],
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3: [3 - oz4 (numeric)],
4: [4 - oz5 (numeric)],
5: [5 - oz6 (numeric)],
6: [6 - oz7 (numeric)],
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8: [8 - oz9 (numeric)],
9: [9 - oz10 (numeric)],
10: [10 - oz11 (numeric)],
11: [11 - oz12 (numeric)],
12: [12 - oz... | {'MajorityClassSize': 582.0,
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... | fri_c2_1000_50 | [
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f... | 2,508 |
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