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eval/calibration.json
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{
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| 448 |
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| 472 |
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| 475 |
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| 476 |
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| 477 |
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| 478 |
{
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| 479 |
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| 483 |
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| 484 |
{
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| 487 |
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| 489 |
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| 490 |
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| 495 |
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| 496 |
{
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| 500 |
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| 501 |
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| 502 |
{
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| 503 |
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| 504 |
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| 505 |
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| 506 |
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| 507 |
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| 508 |
{
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| 509 |
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| 510 |
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| 511 |
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| 512 |
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| 513 |
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| 514 |
{
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| 515 |
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| 516 |
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|
| 517 |
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| 518 |
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| 519 |
},
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| 520 |
{
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| 521 |
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| 522 |
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| 523 |
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| 524 |
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| 525 |
},
|
| 526 |
{
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| 527 |
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|
| 528 |
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|
| 529 |
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|
| 530 |
+
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|
| 531 |
},
|
| 532 |
{
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| 533 |
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|
| 534 |
+
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|
| 535 |
+
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|
| 536 |
+
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|
| 537 |
},
|
| 538 |
{
|
| 539 |
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|
| 540 |
+
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|
| 541 |
+
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|
| 542 |
+
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|
| 543 |
},
|
| 544 |
{
|
| 545 |
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|
| 546 |
+
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|
| 547 |
+
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|
| 548 |
+
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|
| 549 |
},
|
| 550 |
{
|
| 551 |
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|
| 552 |
+
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|
| 553 |
+
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|
| 554 |
+
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|
| 555 |
},
|
| 556 |
{
|
| 557 |
"threshold": 0.93,
|
| 558 |
+
"macro_f1": 0.9672,
|
| 559 |
+
"any_label_recall": 0.9815,
|
| 560 |
+
"any_label_fpr": 0.0022
|
| 561 |
},
|
| 562 |
{
|
| 563 |
"threshold": 0.94,
|
| 564 |
+
"macro_f1": 0.9671,
|
| 565 |
+
"any_label_recall": 0.9796,
|
| 566 |
+
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|
| 567 |
},
|
| 568 |
{
|
| 569 |
"threshold": 0.95,
|
| 570 |
+
"macro_f1": 0.9671,
|
| 571 |
+
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|
| 572 |
+
"any_label_fpr": 0.0022
|
| 573 |
}
|
| 574 |
],
|
| 575 |
+
"notes": [
|
| 576 |
+
"the chosen threshold 0.02 is the lowest value in the sweep, so the scores are compressed toward zero and this is underfitting rather than a calibration success. Check average precision before trusting the F1."
|
| 577 |
+
]
|
| 578 |
}
|