Spaces:
Sleeping
Sleeping
new results file
Browse files- model_results.csv +901 -0
model_results.csv
ADDED
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@@ -0,0 +1,901 @@
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| 1 |
+
model,accuracy,precision,recall,f1_score,dataset,task_type
|
| 2 |
+
RandomForest,0.9537815126050421,0.9539551756408648,0.9537815126050421,0.9537145592387003,D1,classification
|
| 3 |
+
KNN,0.7184873949579832,0.7200713618780845,0.7184873949579832,0.7189625597054022,D1,classification
|
| 4 |
+
DecisionTree,0.8907563025210085,0.8944424559397821,0.8907563025210085,0.8910272442310258,D1,classification
|
| 5 |
+
SVM,0.726890756302521,0.7326075345392395,0.726890756302521,0.7275817072755538,D1,classification
|
| 6 |
+
LogisticRegression,0.8319327731092437,0.8317390113940313,0.8319327731092437,0.831776621454757,D1,classification
|
| 7 |
+
PyTorchNN,0.7815126050420168,0.7812177502579979,0.7815126050420168,0.7813096078911839,D1,classification
|
| 8 |
+
RandomForest,0.956140350877193,0.9560881370091896,0.956140350877193,0.9560357083576898,D10,classification
|
| 9 |
+
KNN,0.7543859649122807,0.752585895364139,0.7543859649122807,0.7440406914091124,D10,classification
|
| 10 |
+
DecisionTree,0.9385964912280702,0.9390179995443153,0.9385964912280702,0.938731642017737,D10,classification
|
| 11 |
+
SVM,0.6228070175438597,0.38788858110187757,0.6228070175438597,0.4780464675201518,D10,classification
|
| 12 |
+
LogisticRegression,0.956140350877193,0.9569049312470365,0.956140350877193,0.9558014271241044,D10,classification
|
| 13 |
+
PyTorchNN,0.6228070175438597,0.38788858110187757,0.6228070175438597,0.4780464675201518,D10,classification
|
| 14 |
+
RandomForest,0.8888888888888888,0.8858024691358024,0.8888888888888888,0.8867473848941602,D102,classification
|
| 15 |
+
KNN,0.7111111111111111,0.7629629629629631,0.7111111111111111,0.7288888888888888,D102,classification
|
| 16 |
+
DecisionTree,0.8222222222222222,0.8367003367003366,0.8222222222222222,0.827688651218063,D102,classification
|
| 17 |
+
SVM,0.7777777777777778,0.6049382716049383,0.7777777777777778,0.6805555555555556,D102,classification
|
| 18 |
+
LogisticRegression,0.7555555555555555,0.601010101010101,0.7555555555555555,0.6694796061884669,D102,classification
|
| 19 |
+
PyTorchNN,0.7777777777777778,0.6049382716049383,0.7777777777777778,0.6805555555555556,D102,classification
|
| 20 |
+
RandomForest,0.8854166666666666,0.8888742997198881,0.8854166666666666,0.8832502374169039,D103,classification
|
| 21 |
+
KNN,0.625,0.627319367951744,0.625,0.6224974074169302,D103,classification
|
| 22 |
+
DecisionTree,0.8229166666666666,0.8238610083256245,0.8229166666666666,0.8232577972709553,D103,classification
|
| 23 |
+
SVM,0.6458333333333334,0.6465277777777777,0.6458333333333334,0.6434739475500345,D103,classification
|
| 24 |
+
LogisticRegression,0.7291666666666666,0.7288953449542509,0.7291666666666666,0.7255360623781676,D103,classification
|
| 25 |
+
PyTorchNN,0.625,0.634354657687991,0.625,0.6277438511636539,D103,classification
|
| 26 |
+
RandomForest,0.8854166666666666,0.8888742997198881,0.8854166666666666,0.8832502374169039,D104,classification
|
| 27 |
+
KNN,0.625,0.627319367951744,0.625,0.6224974074169302,D104,classification
|
| 28 |
+
DecisionTree,0.8229166666666666,0.8238610083256245,0.8229166666666666,0.8232577972709553,D104,classification
|
| 29 |
+
SVM,0.6458333333333334,0.6465277777777777,0.6458333333333334,0.6434739475500345,D104,classification
|
| 30 |
+
LogisticRegression,0.7291666666666666,0.7288953449542509,0.7291666666666666,0.7255360623781676,D104,classification
|
| 31 |
+
PyTorchNN,0.625,0.634354657687991,0.625,0.6277438511636539,D104,classification
|
| 32 |
+
RandomForest,0.7728813559322034,0.7582303146197522,0.7728813559322034,0.7571755114240026,D105,classification
|
| 33 |
+
KNN,0.6463276836158192,0.6297796614856686,0.6463276836158192,0.6321542661770199,D105,classification
|
| 34 |
+
DecisionTree,0.6926553672316385,0.6987218585779492,0.6926553672316385,0.6943174403230877,D105,classification
|
| 35 |
+
SVM,0.7288135593220338,0.7210170963406725,0.7288135593220338,0.7084472240942756,D105,classification
|
| 36 |
+
LogisticRegression,0.7559322033898305,0.7333049167398143,0.7559322033898305,0.7364389022004811,D105,classification
|
| 37 |
+
PyTorchNN,0.7446327683615819,0.7395722345617595,0.7446327683615819,0.7303413006987507,D105,classification
|
| 38 |
+
RandomForest,0.6666666666666666,0.8888888888888888,0.6666666666666666,0.6944444444444443,D106,classification
|
| 39 |
+
KNN,0.16666666666666666,0.027777777777777776,0.16666666666666666,0.047619047619047616,D106,classification
|
| 40 |
+
DecisionTree,0.16666666666666666,0.03333333333333333,0.16666666666666666,0.05555555555555555,D106,classification
|
| 41 |
+
SVM,0.16666666666666666,0.027777777777777776,0.16666666666666666,0.047619047619047616,D106,classification
|
| 42 |
+
LogisticRegression,0.3333333333333333,0.19999999999999998,0.3333333333333333,0.2222222222222222,D106,classification
|
| 43 |
+
PyTorchNN,0.3333333333333333,0.125,0.3333333333333333,0.17777777777777778,D106,classification
|
| 44 |
+
RandomForest,0.9393346379647749,0.8823495620804148,0.9393346379647749,0.9099508097337881,D11,classification
|
| 45 |
+
KNN,0.9393346379647749,0.8823495620804148,0.9393346379647749,0.9099508097337881,D11,classification
|
| 46 |
+
DecisionTree,0.9119373776908023,0.896727771343371,0.9119373776908023,0.9039237488962104,D11,classification
|
| 47 |
+
SVM,0.9393346379647749,0.8823495620804148,0.9393346379647749,0.9099508097337881,D11,classification
|
| 48 |
+
LogisticRegression,0.9363992172211351,0.8821817944379682,0.9363992172211351,0.9084823128168668,D11,classification
|
| 49 |
+
PyTorchNN,0.9393346379647749,0.8823495620804148,0.9393346379647749,0.9099508097337881,D11,classification
|
| 50 |
+
RandomForest,0.7837837837837838,0.8048048048048049,0.7837837837837838,0.7102102102102102,D111,classification
|
| 51 |
+
KNN,0.7297297297297297,0.5837837837837838,0.7297297297297297,0.6486486486486487,D111,classification
|
| 52 |
+
DecisionTree,0.7297297297297297,0.794912559618442,0.7297297297297297,0.6827472633924248,D111,classification
|
| 53 |
+
SVM,0.7567567567567568,0.5726807888970051,0.7567567567567568,0.651975051975052,D111,classification
|
| 54 |
+
LogisticRegression,0.7297297297297297,0.5675675675675675,0.7297297297297297,0.6385135135135135,D111,classification
|
| 55 |
+
PyTorchNN,0.7567567567567568,0.6054054054054054,0.7567567567567568,0.6726726726726726,D111,classification
|
| 56 |
+
RandomForest,1.0,1.0,1.0,1.0,D12,classification
|
| 57 |
+
KNN,0.4,0.38707371117254835,0.4,0.37531590518110186,D12,classification
|
| 58 |
+
DecisionTree,1.0,1.0,1.0,1.0,D12,classification
|
| 59 |
+
SVM,0.47,0.514357887874837,0.47,0.36430444373232446,D12,classification
|
| 60 |
+
LogisticRegression,0.415,0.4839447236180905,0.415,0.249132006227758,D12,classification
|
| 61 |
+
PyTorchNN,0.45,0.6881973684210527,0.45,0.31974356458669456,D12,classification
|
| 62 |
+
RandomForest,0.8364116094986808,0.836983197243645,0.8364116094986808,0.8360546701549206,D121,classification
|
| 63 |
+
KNN,0.16094986807387862,0.025904860032998932,0.16094986807387862,0.04462700887502998,D121,classification
|
| 64 |
+
DecisionTree,0.7994722955145118,0.8029418814018192,0.7994722955145118,0.7975432608216991,D121,classification
|
| 65 |
+
SVM,0.38522427440633245,0.14839774159188532,0.38522427440633245,0.2142580726221887,D121,classification
|
| 66 |
+
LogisticRegression,0.8047493403693932,0.8251015380446985,0.8047493403693932,0.8048634151384977,D121,classification
|
| 67 |
+
PyTorchNN,0.2955145118733509,0.3845361711473272,0.2955145118733509,0.21838584406050404,D121,classification
|
| 68 |
+
RandomForest,1.0,1.0,1.0,1.0,D126,classification
|
| 69 |
+
KNN,0.65,0.6799999999999999,0.65,0.6411363636363637,D126,classification
|
| 70 |
+
DecisionTree,1.0,1.0,1.0,1.0,D126,classification
|
| 71 |
+
SVM,0.75,0.85,0.75,0.7293650793650793,D126,classification
|
| 72 |
+
LogisticRegression,0.8,0.8535714285714284,0.8,0.7804761904761905,D126,classification
|
| 73 |
+
PyTorchNN,0.6,0.68125,0.6,0.5351648351648352,D126,classification
|
| 74 |
+
RandomForest,1.0,1.0,1.0,1.0,D127,classification
|
| 75 |
+
KNN,0.85,0.7333333333333334,0.85,0.7844155844155843,D127,classification
|
| 76 |
+
DecisionTree,1.0,1.0,1.0,1.0,D127,classification
|
| 77 |
+
SVM,0.8,0.8683333333333334,0.8,0.8022727272727274,D127,classification
|
| 78 |
+
LogisticRegression,0.9,0.9400000000000001,0.9,0.9,D127,classification
|
| 79 |
+
PyTorchNN,0.9,0.9285714285714285,0.9,0.8833333333333334,D127,classification
|
| 80 |
+
RandomForest,0.995,0.9950892857142857,0.995,0.9949982506778623,D128,classification
|
| 81 |
+
KNN,0.91,0.9184857091621004,0.91,0.9096330109884065,D128,classification
|
| 82 |
+
DecisionTree,1.0,1.0,1.0,1.0,D128,classification
|
| 83 |
+
SVM,0.9,0.9106416011171911,0.9,0.8994016942809513,D128,classification
|
| 84 |
+
LogisticRegression,0.735,0.7790262030738221,0.735,0.7349380952380952,D128,classification
|
| 85 |
+
PyTorchNN,0.67,0.6961161673261729,0.67,0.6694491231482382,D128,classification
|
| 86 |
+
RandomForest,0.995,0.9950892857142857,0.995,0.9949982506778623,D129,classification
|
| 87 |
+
KNN,0.795,0.8062721887988991,0.795,0.7923458646616542,D129,classification
|
| 88 |
+
DecisionTree,1.0,1.0,1.0,1.0,D129,classification
|
| 89 |
+
SVM,0.89,0.8997237279244623,0.89,0.8893480697712022,D129,classification
|
| 90 |
+
LogisticRegression,0.57,0.7199435733546389,0.57,0.567518757506278,D129,classification
|
| 91 |
+
PyTorchNN,0.58,0.6141250061370715,0.58,0.5804340449626708,D129,classification
|
| 92 |
+
RandomForest,0.7419354838709677,0.6835637480798771,0.7419354838709677,0.7002481389578163,D13,classification
|
| 93 |
+
KNN,0.7741935483870968,0.5993756503642039,0.7741935483870968,0.6756598240469208,D13,classification
|
| 94 |
+
DecisionTree,0.5806451612903226,0.6004558204768584,0.5806451612903226,0.5901624342255778,D13,classification
|
| 95 |
+
SVM,0.7741935483870968,0.5993756503642039,0.7741935483870968,0.6756598240469208,D13,classification
|
| 96 |
+
LogisticRegression,0.8064516129032258,0.7905707196029776,0.8064516129032258,0.7941935483870968,D13,classification
|
| 97 |
+
PyTorchNN,0.7419354838709677,0.5935483870967743,0.7419354838709677,0.6594982078853046,D13,classification
|
| 98 |
+
RandomForest,1.0,1.0,1.0,1.0,D130,classification
|
| 99 |
+
KNN,0.875,0.8813207547169811,0.875,0.8750007342790848,D130,classification
|
| 100 |
+
DecisionTree,1.0,1.0,1.0,1.0,D130,classification
|
| 101 |
+
SVM,0.855,0.8698154761904761,0.855,0.8542494212706978,D130,classification
|
| 102 |
+
LogisticRegression,0.71,0.7812044653349001,0.71,0.7130965431561789,D130,classification
|
| 103 |
+
PyTorchNN,0.46,0.5215982678214524,0.46,0.44759828037051813,D130,classification
|
| 104 |
+
RandomForest,1.0,1.0,1.0,1.0,D132,classification
|
| 105 |
+
KNN,0.44,0.5063934341875065,0.44,0.4146205962059621,D132,classification
|
| 106 |
+
DecisionTree,1.0,1.0,1.0,1.0,D132,classification
|
| 107 |
+
SVM,0.49,0.5588061971728359,0.49,0.4700712713025086,D132,classification
|
| 108 |
+
LogisticRegression,0.72,0.8016258825715348,0.72,0.6679794710757925,D132,classification
|
| 109 |
+
PyTorchNN,0.445,0.6090243083534783,0.445,0.40365687136178935,D132,classification
|
| 110 |
+
RandomForest,1.0,1.0,1.0,1.0,D133,classification
|
| 111 |
+
KNN,0.76,0.8699206068268015,0.76,0.7557380978773321,D133,classification
|
| 112 |
+
DecisionTree,1.0,1.0,1.0,1.0,D133,classification
|
| 113 |
+
SVM,0.8825,0.9085602240896358,0.8825,0.875608162468344,D133,classification
|
| 114 |
+
LogisticRegression,0.4875,0.8460750853242321,0.4875,0.411710779442791,D133,classification
|
| 115 |
+
PyTorchNN,0.29,0.39149099099099094,0.29,0.19656399601075136,D133,classification
|
| 116 |
+
RandomForest,1.0,1.0,1.0,1.0,D134,classification
|
| 117 |
+
KNN,0.855,0.8891284364985664,0.855,0.8483152936824054,D134,classification
|
| 118 |
+
DecisionTree,1.0,1.0,1.0,1.0,D134,classification
|
| 119 |
+
SVM,0.895,0.9192920353982301,0.895,0.891255721782462,D134,classification
|
| 120 |
+
LogisticRegression,0.525,0.60663805141225,0.525,0.43429144699967553,D134,classification
|
| 121 |
+
PyTorchNN,0.33,0.49785101822079314,0.33,0.302989389641769,D134,classification
|
| 122 |
+
RandomForest,1.0,1.0,1.0,1.0,D135,classification
|
| 123 |
+
KNN,0.83,0.8578529213103682,0.83,0.8314312352014153,D135,classification
|
| 124 |
+
DecisionTree,1.0,1.0,1.0,1.0,D135,classification
|
| 125 |
+
SVM,0.865,0.8839606741573033,0.865,0.8664042297384941,D135,classification
|
| 126 |
+
LogisticRegression,0.485,0.6088013698630137,0.485,0.3824894677350711,D135,classification
|
| 127 |
+
PyTorchNN,0.265,0.3161159420289855,0.265,0.1661439442698671,D135,classification
|
| 128 |
+
RandomForest,1.0,1.0,1.0,1.0,D136,classification
|
| 129 |
+
KNN,0.7075,0.8342270159219312,0.7075,0.6691331545587325,D136,classification
|
| 130 |
+
DecisionTree,1.0,1.0,1.0,1.0,D136,classification
|
| 131 |
+
SVM,0.795,0.8600767590618337,0.795,0.7758062262191798,D136,classification
|
| 132 |
+
LogisticRegression,0.51,0.6109098939929328,0.51,0.4497794614347916,D136,classification
|
| 133 |
+
PyTorchNN,0.325,0.3282435257620718,0.325,0.2422001941713909,D136,classification
|
| 134 |
+
RandomForest,1.0,1.0,1.0,1.0,D137,classification
|
| 135 |
+
KNN,0.970873786407767,0.9715857605177992,0.970873786407767,0.9707203485367296,D137,classification
|
| 136 |
+
DecisionTree,1.0,1.0,1.0,1.0,D137,classification
|
| 137 |
+
SVM,0.9611650485436893,0.9612186139939739,0.9611650485436893,0.9610172849788261,D137,classification
|
| 138 |
+
LogisticRegression,1.0,1.0,1.0,1.0,D137,classification
|
| 139 |
+
PyTorchNN,0.8155339805825242,0.8389995827836225,0.8155339805825242,0.8117338804723018,D137,classification
|
| 140 |
+
RandomForest,0.9919354838709677,0.9921726755218216,0.9919354838709677,0.9919273234701289,D138,classification
|
| 141 |
+
KNN,0.9354838709677419,0.9365244536940687,0.9354838709677419,0.9358881505836188,D138,classification
|
| 142 |
+
DecisionTree,0.9919354838709677,0.9921726755218216,0.9919354838709677,0.9919273234701289,D138,classification
|
| 143 |
+
SVM,0.9758064516129032,0.977113201911589,0.9758064516129032,0.9758322229836185,D138,classification
|
| 144 |
+
LogisticRegression,0.9758064516129032,0.9760436432637571,0.9758064516129032,0.9758081960464159,D138,classification
|
| 145 |
+
PyTorchNN,0.8870967741935484,0.89526740237691,0.8870967741935484,0.884884714649173,D138,classification
|
| 146 |
+
RandomForest,1.0,1.0,1.0,1.0,D139,classification
|
| 147 |
+
KNN,0.9722222222222222,0.9727861319966584,0.9722222222222222,0.9721874188353851,D139,classification
|
| 148 |
+
DecisionTree,1.0,1.0,1.0,1.0,D139,classification
|
| 149 |
+
SVM,0.9791666666666666,0.9797426014531277,0.9791666666666666,0.9791853632478633,D139,classification
|
| 150 |
+
LogisticRegression,0.9861111111111112,0.9868233618233617,0.9861111111111112,0.9860698453122052,D139,classification
|
| 151 |
+
PyTorchNN,0.9375,0.9429687499999999,0.9375,0.9361467475357297,D139,classification
|
| 152 |
+
RandomForest,0.9436619718309859,0.9444564824846515,0.9436619718309859,0.9432588798785981,D14,classification
|
| 153 |
+
KNN,0.8450704225352113,0.8766301512780386,0.8450704225352113,0.8349192520529822,D14,classification
|
| 154 |
+
DecisionTree,0.8591549295774648,0.8734051367025683,0.8591549295774648,0.8534112476276096,D14,classification
|
| 155 |
+
SVM,0.9295774647887324,0.9369131455399062,0.9295774647887324,0.9280600647626331,D14,classification
|
| 156 |
+
LogisticRegression,0.8591549295774648,0.8857294711666225,0.8591549295774648,0.8511813635435803,D14,classification
|
| 157 |
+
PyTorchNN,0.9577464788732394,0.957865035329824,0.9577464788732394,0.95760519228222,D14,classification
|
| 158 |
+
RandomForest,0.9935897435897436,0.9937423687423687,0.9935897435897436,0.9935844537263913,D140,classification
|
| 159 |
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KNN,0.9487179487179487,0.9516716176777152,0.9487179487179487,0.948734630300606,D140,classification
|
| 160 |
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DecisionTree,1.0,1.0,1.0,1.0,D140,classification
|
| 161 |
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SVM,0.9230769230769231,0.9310162022200326,0.9230769230769231,0.9237580322124705,D140,classification
|
| 162 |
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LogisticRegression,0.9487179487179487,0.9537691537691537,0.9487179487179487,0.9487179487179487,D140,classification
|
| 163 |
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PyTorchNN,0.9102564102564102,0.9172601664551575,0.9102564102564102,0.9086188359444174,D140,classification
|
| 164 |
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RandomForest,0.994535519125683,0.9946543121881682,0.994535519125683,0.9945413646269587,D141,classification
|
| 165 |
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KNN,0.9453551912568307,0.9473754192723749,0.9453551912568307,0.9451809945826779,D141,classification
|
| 166 |
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DecisionTree,0.994535519125683,0.9946543121881682,0.994535519125683,0.9945413646269587,D141,classification
|
| 167 |
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SVM,0.9726775956284153,0.974605718042178,0.9726775956284153,0.9727502658496249,D141,classification
|
| 168 |
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LogisticRegression,0.9726775956284153,0.9740285367334547,0.9726775956284153,0.9726302309466797,D141,classification
|
| 169 |
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PyTorchNN,0.9617486338797814,0.9642320937237753,0.9617486338797814,0.9617117677219644,D141,classification
|
| 170 |
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RandomForest,0.9947916666666666,0.994891826923077,0.9947916666666666,0.9947911660098048,D142,classification
|
| 171 |
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KNN,0.9479166666666666,0.9491065705128205,0.9479166666666666,0.9479526759361446,D142,classification
|
| 172 |
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DecisionTree,0.9947916666666666,0.994891826923077,0.9947916666666666,0.9947911660098048,D142,classification
|
| 173 |
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SVM,0.9635416666666666,0.9647820499727668,0.9635416666666666,0.963493078102453,D142,classification
|
| 174 |
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LogisticRegression,0.984375,0.9845753205128206,0.984375,0.9844240024355253,D142,classification
|
| 175 |
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PyTorchNN,0.9739583333333334,0.9744295400943396,0.9739583333333334,0.973936790447207,D142,classification
|
| 176 |
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RandomForest,1.0,1.0,1.0,1.0,D143,classification
|
| 177 |
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KNN,0.9428571428571428,0.9440363587030255,0.9428571428571428,0.9431479922334998,D143,classification
|
| 178 |
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DecisionTree,1.0,1.0,1.0,1.0,D143,classification
|
| 179 |
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SVM,0.9666666666666667,0.9668382235048901,0.9666666666666667,0.9667103538663172,D143,classification
|
| 180 |
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LogisticRegression,0.9761904761904762,0.9777130663586189,0.9761904761904762,0.9762833976051414,D143,classification
|
| 181 |
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PyTorchNN,0.919047619047619,0.9361228592314119,0.919047619047619,0.920338133912723,D143,classification
|
| 182 |
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RandomForest,1.0,1.0,1.0,1.0,D144,classification
|
| 183 |
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KNN,0.9421074552269888,0.9420219258761912,0.9421074552269888,0.9420284535338603,D144,classification
|
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DecisionTree,1.0,1.0,1.0,1.0,D144,classification
|
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SVM,0.9716784673052895,0.9718842525342655,0.9716784673052895,0.9716959491692742,D144,classification
|
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LogisticRegression,0.6226572261557685,0.692251428139138,0.6226572261557685,0.6112617618583844,D144,classification
|
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PyTorchNN,0.6888796334860475,0.7650259309609617,0.6888796334860475,0.689988255425036,D144,classification
|
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RandomForest,0.9995835068721366,0.9995841797204853,0.9995835068721366,0.9995835029732565,D145,classification
|
| 189 |
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KNN,0.946688879633486,0.9466931839479819,0.946688879633486,0.9466556762951652,D145,classification
|
| 190 |
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DecisionTree,1.0,1.0,1.0,1.0,D145,classification
|
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SVM,0.9808413161182841,0.9811105044242857,0.9808413161182841,0.9808824765845862,D145,classification
|
| 192 |
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LogisticRegression,0.5152019991670137,0.5736471295734918,0.5152019991670137,0.49787718326526675,D145,classification
|
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PyTorchNN,0.7600999583506872,0.7994790986857491,0.7600999583506872,0.7666109248246299,D145,classification
|
| 194 |
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RandomForest,1.0,1.0,1.0,1.0,D146,classification
|
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KNN,0.9359504132231405,0.9358576745297089,0.9359504132231405,0.9357987554595661,D146,classification
|
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DecisionTree,1.0,1.0,1.0,1.0,D146,classification
|
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SVM,0.9776859504132231,0.9777581181889233,0.9776859504132231,0.9776841920562284,D146,classification
|
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LogisticRegression,0.5293388429752066,0.5915869867534921,0.5293388429752066,0.521702337491658,D146,classification
|
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PyTorchNN,0.721900826446281,0.7745314417177818,0.721900826446281,0.7283886364907867,D146,classification
|
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RandomForest,1.0,1.0,1.0,1.0,D147,classification
|
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KNN,0.9291961682632237,0.9294857700567317,0.9291961682632237,0.9288484037182194,D147,classification
|
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DecisionTree,1.0,1.0,1.0,1.0,D147,classification
|
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SVM,0.9754269054560599,0.9754414130059545,0.9754269054560599,0.975395645525227,D147,classification
|
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LogisticRegression,0.45855893377759266,0.5272138803709635,0.45855893377759266,0.4397541749730739,D147,classification
|
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PyTorchNN,0.7650978758850479,0.7706043754033257,0.7650978758850479,0.7604390623944186,D147,classification
|
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RandomForest,1.0,1.0,1.0,1.0,D148,classification
|
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KNN,0.9317899958660604,0.9316947391167781,0.9317899958660604,0.9316734007913866,D148,classification
|
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DecisionTree,1.0,1.0,1.0,1.0,D148,classification
|
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SVM,0.9772633319553534,0.9772506844262112,0.9772633319553534,0.9772526907291846,D148,classification
|
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LogisticRegression,0.39148408433236875,0.4957777495976219,0.39148408433236875,0.337742148040875,D148,classification
|
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PyTorchNN,0.7763538652335676,0.7885632838301153,0.7763538652335676,0.7769050651511679,D148,classification
|
| 212 |
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RandomForest,1.0,1.0,1.0,1.0,D149,classification
|
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KNN,0.9417114510128152,0.9418475090299552,0.9417114510128152,0.9416819451670347,D149,classification
|
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DecisionTree,1.0,1.0,1.0,1.0,D149,classification
|
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SVM,0.9834642414220752,0.9835436864778222,0.9834642414220752,0.9834674845934595,D149,classification
|
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LogisticRegression,0.618023976849938,0.6742094792726665,0.618023976849938,0.6067605300392506,D149,classification
|
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PyTorchNN,0.8164530797850351,0.8418381930356693,0.8164530797850351,0.8183011009314298,D149,classification
|
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RandomForest,1.0,1.0,1.0,1.0,D150,classification
|
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KNN,0.9369839200347675,0.937030545390651,0.9369839200347675,0.9364667300827318,D150,classification
|
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DecisionTree,1.0,1.0,1.0,1.0,D150,classification
|
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SVM,0.974793568013907,0.9749464835997057,0.974793568013907,0.9746829929040112,D150,classification
|
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LogisticRegression,0.5671447196870926,0.6469348141766322,0.5671447196870926,0.5407241662277412,D150,classification
|
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PyTorchNN,0.8105171664493699,0.8142939734357968,0.8105171664493699,0.8080908642074318,D150,classification
|
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RandomForest,1.0,1.0,1.0,1.0,D151,classification
|
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KNN,0.9271137026239067,0.9277948978133759,0.9271137026239067,0.9268310478520088,D151,classification
|
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DecisionTree,1.0,1.0,1.0,1.0,D151,classification
|
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SVM,0.9704289879216993,0.9707298733538224,0.9704289879216993,0.9703903759107456,D151,classification
|
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LogisticRegression,0.4910453977509371,0.5787840293538757,0.4910453977509371,0.461390969989917,D151,classification
|
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PyTorchNN,0.7721782590587255,0.7850918608261853,0.7721782590587255,0.7708411081097694,D151,classification
|
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RandomForest,0.9995737425404945,0.9995744577375743,0.9995737425404945,0.9995737454958932,D152,classification
|
| 231 |
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KNN,0.9335038363171355,0.9337063522350363,0.9335038363171355,0.9334338274899104,D152,classification
|
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DecisionTree,1.0,1.0,1.0,1.0,D152,classification
|
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SVM,0.9697357203751066,0.9702621261131545,0.9697357203751066,0.9698049700375959,D152,classification
|
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LogisticRegression,0.6445012787723785,0.6903133164801973,0.6445012787723785,0.6389792772660544,D152,classification
|
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PyTorchNN,0.8120204603580563,0.8448775651730253,0.8120204603580563,0.8154739957151529,D152,classification
|
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RandomForest,1.0,1.0,1.0,1.0,D153,classification
|
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KNN,0.9608496459808413,0.9613977341358169,0.9608496459808413,0.9609643655356909,D153,classification
|
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DecisionTree,1.0,1.0,1.0,1.0,D153,classification
|
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SVM,0.9845897542690546,0.9848006618614056,0.9845897542690546,0.9845452999053935,D153,classification
|
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LogisticRegression,0.8904623073719283,0.9136851622207073,0.8904623073719283,0.887617715377578,D153,classification
|
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PyTorchNN,0.9216992919616827,0.9223515354361158,0.9216992919616827,0.9217747057954406,D153,classification
|
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RandomForest,1.0,1.0,1.0,1.0,D154,classification
|
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KNN,0.9458210835783284,0.9462732626761685,0.9458210835783284,0.945932810121522,D154,classification
|
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DecisionTree,1.0,1.0,1.0,1.0,D154,classification
|
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SVM,0.9760604787904242,0.976137733564732,0.9760604787904242,0.9760822959998308,D154,classification
|
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LogisticRegression,0.75052498950021,0.7685669339634521,0.75052498950021,0.7486038488793356,D154,classification
|
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PyTorchNN,0.8899622007559849,0.8997583640564178,0.8899622007559849,0.8915310876617012,D154,classification
|
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RandomForest,0.9995835068721366,0.9995841941545258,0.9995835068721366,0.9995835102139174,D155,classification
|
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KNN,0.9600166597251145,0.9600374242091237,0.9600166597251145,0.9599731800219179,D155,classification
|
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DecisionTree,0.9991670137442732,0.9991697583447864,0.9991670137442732,0.9991670259972819,D155,classification
|
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SVM,0.9883381924198251,0.9884097946497274,0.9883381924198251,0.9883274881490672,D155,classification
|
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LogisticRegression,0.626405664306539,0.6871445165072321,0.626405664306539,0.6057217747025713,D155,classification
|
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PyTorchNN,0.9108704706372345,0.9146060512272107,0.9108704706372345,0.9116125208204963,D155,classification
|
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RandomForest,0.998,0.998014184397163,0.998,0.9979995746551162,D156,classification
|
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KNN,0.98,0.9809707017120811,0.98,0.980011789229071,D156,classification
|
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DecisionTree,0.996,0.996056338028169,0.996,0.9959981843971631,D156,classification
|
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SVM,0.978,0.9784369212962963,0.978,0.9779788662407987,D156,classification
|
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LogisticRegression,0.996,0.996,0.996,0.996,D156,classification
|
| 259 |
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PyTorchNN,0.97,0.9705231060606061,0.97,0.9699861387278927,D156,classification
|
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RandomForest,1.0,1.0,1.0,1.0,D157,classification
|
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KNN,0.986,0.9864115942028985,0.986,0.9860049809163184,D157,classification
|
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DecisionTree,0.998,0.998015037593985,0.998,0.9979999713035368,D157,classification
|
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SVM,0.988,0.988306090577824,0.988,0.9879998911415979,D157,classification
|
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LogisticRegression,0.99,0.9901112887941247,0.99,0.9899709361109896,D157,classification
|
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PyTorchNN,0.952,0.9530129325573541,0.952,0.9519292376001957,D157,classification
|
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RandomForest,1.0,1.0,1.0,1.0,D158,classification
|
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KNN,0.9933333333333333,0.9934446614893515,0.9933333333333333,0.9933400015060723,D158,classification
|
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DecisionTree,1.0,1.0,1.0,1.0,D158,classification
|
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SVM,0.975,0.9760362414085817,0.975,0.9748354153676821,D158,classification
|
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LogisticRegression,0.99,0.9900939006168433,0.99,0.9899897728934733,D158,classification
|
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PyTorchNN,0.9816666666666667,0.9820881006992788,0.9816666666666667,0.9816212561012133,D158,classification
|
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RandomForest,0.9983361064891847,0.9983467045370242,0.9983361064891847,0.9983356945518124,D159,classification
|
| 273 |
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KNN,0.9850249584026622,0.9851869293083622,0.9850249584026622,0.9850279487833136,D159,classification
|
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DecisionTree,0.9983361064891847,0.9983467045370242,0.9983361064891847,0.9983356945518124,D159,classification
|
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SVM,0.9667221297836939,0.9679812666523322,0.9667221297836939,0.9665238901756051,D159,classification
|
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LogisticRegression,0.9966722129783694,0.9966944466451658,0.9966722129783694,0.9966654649295291,D159,classification
|
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PyTorchNN,0.9434276206322796,0.9466483244492256,0.9434276206322796,0.9430434125679761,D159,classification
|
| 278 |
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RandomForest,0.75,0.7756211180124223,0.75,0.731718898385565,D16,classification
|
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KNN,0.5333333333333333,0.44923629829290207,0.5333333333333333,0.4498106060606061,D16,classification
|
| 280 |
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DecisionTree,0.6666666666666666,0.6615318784766796,0.6666666666666666,0.657097288676236,D16,classification
|
| 281 |
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SVM,0.5833333333333334,0.3402777777777778,0.5833333333333334,0.4298245614035087,D16,classification
|
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LogisticRegression,0.8,0.8296296296296295,0.8,0.7875,D16,classification
|
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PyTorchNN,0.5833333333333334,0.3402777777777778,0.5833333333333334,0.4298245614035087,D16,classification
|
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RandomForest,1.0,1.0,1.0,1.0,D160,classification
|
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KNN,0.98,0.9811569444444445,0.98,0.9798759507814679,D160,classification
|
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DecisionTree,1.0,1.0,1.0,1.0,D160,classification
|
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SVM,0.9766666666666667,0.9780702179176755,0.9766666666666667,0.976595737794794,D160,classification
|
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LogisticRegression,0.9966666666666667,0.9966777777777778,0.9966666666666667,0.9966669208066063,D160,classification
|
| 289 |
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PyTorchNN,0.9666666666666667,0.9672782094868059,0.9666666666666667,0.9666331122516291,D160,classification
|
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RandomForest,1.0,1.0,1.0,1.0,D161,classification
|
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KNN,0.725,0.68125,0.725,0.6896153846153845,D161,classification
|
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DecisionTree,1.0,1.0,1.0,1.0,D161,classification
|
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SVM,0.15,0.0225,0.15,0.03913043478260869,D161,classification
|
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LogisticRegression,0.8,0.8210576923076923,0.8,0.8014157594249127,D161,classification
|
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PyTorchNN,0.75,0.7577731092436976,0.75,0.7269864873313149,D161,classification
|
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RandomForest,1.0,1.0,1.0,1.0,D162,classification
|
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KNN,0.7901234567901234,0.824519592055824,0.7901234567901234,0.7823255833819174,D162,classification
|
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DecisionTree,0.9876543209876543,0.988095238095238,0.9876543209876543,0.9876230000261007,D162,classification
|
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SVM,0.2716049382716049,0.07376924249352233,0.2716049382716049,0.1160254105237924,D162,classification
|
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LogisticRegression,0.6419753086419753,0.7780038891150003,0.6419753086419753,0.6008983710486443,D162,classification
|
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PyTorchNN,0.6419753086419753,0.7747599451303154,0.6419753086419753,0.6182263286740899,D162,classification
|
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RandomForest,1.0,1.0,1.0,1.0,D163,classification
|
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KNN,0.875,0.8807159945317841,0.875,0.8744997401247401,D163,classification
|
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DecisionTree,1.0,1.0,1.0,1.0,D163,classification
|
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SVM,0.225,0.05126582278481012,0.225,0.08350515463917527,D163,classification
|
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LogisticRegression,0.5,0.6819886363636363,0.5,0.49987274220032846,D163,classification
|
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PyTorchNN,0.7125,0.743376540339456,0.7125,0.7144587424770352,D163,classification
|
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RandomForest,1.0,1.0,1.0,1.0,D164,classification
|
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KNN,0.825,0.8580687830687831,0.825,0.8182426781585928,D164,classification
|
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DecisionTree,1.0,1.0,1.0,1.0,D164,classification
|
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SVM,0.225,0.051923076923076926,0.225,0.084375,D164,classification
|
| 312 |
+
LogisticRegression,0.65,0.7703125,0.65,0.6356638655462186,D164,classification
|
| 313 |
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PyTorchNN,0.75,0.8488142292490117,0.75,0.7416476629162576,D164,classification
|
| 314 |
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RandomForest,0.9876543209876543,0.988095238095238,0.9876543209876543,0.9875901875901876,D165,classification
|
| 315 |
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KNN,0.8395061728395061,0.8492990911291566,0.8395061728395061,0.8361830502181379,D165,classification
|
| 316 |
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DecisionTree,0.9876543209876543,0.988095238095238,0.9876543209876543,0.9875901875901876,D165,classification
|
| 317 |
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SVM,0.24691358024691357,0.06172839506172839,0.24691358024691357,0.09876543209876543,D165,classification
|
| 318 |
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LogisticRegression,0.6296296296296297,0.7127807172251616,0.6296296296296297,0.6327459951407605,D165,classification
|
| 319 |
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PyTorchNN,0.6419753086419753,0.7469867625184232,0.6419753086419753,0.6331981379670301,D165,classification
|
| 320 |
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RandomForest,1.0,1.0,1.0,1.0,D166,classification
|
| 321 |
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KNN,0.85625,0.864313287815126,0.85625,0.8553544372294372,D166,classification
|
| 322 |
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DecisionTree,1.0,1.0,1.0,1.0,D166,classification
|
| 323 |
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SVM,0.43125,0.253439465408805,0.43125,0.30638111888111885,D166,classification
|
| 324 |
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LogisticRegression,0.3125,0.32569962686567167,0.3125,0.19647013833466348,D166,classification
|
| 325 |
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PyTorchNN,0.6625,0.7415296052631579,0.6625,0.6446817088051249,D166,classification
|
| 326 |
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RandomForest,1.0,1.0,1.0,1.0,D167,classification
|
| 327 |
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KNN,0.9441624365482234,0.9456385491866777,0.9441624365482234,0.9441619465435529,D167,classification
|
| 328 |
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DecisionTree,0.9035532994923858,0.9259007057075647,0.9035532994923858,0.8957761650217453,D167,classification
|
| 329 |
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SVM,0.41624365482233505,0.305416831994746,0.41624365482233505,0.33469611743723415,D167,classification
|
| 330 |
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LogisticRegression,0.17258883248730963,0.2471716266879002,0.17258883248730963,0.07557589892615274,D167,classification
|
| 331 |
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PyTorchNN,0.5532994923857868,0.5448129461061902,0.5532994923857868,0.4935103552046023,D167,classification
|
| 332 |
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RandomForest,0.9909502262443439,0.9912166587282686,0.9909502262443439,0.9909043482818265,D168,classification
|
| 333 |
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KNN,0.9728506787330317,0.9750323206205559,0.9728506787330317,0.9731236993336769,D168,classification
|
| 334 |
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DecisionTree,0.9004524886877828,0.9125521861953451,0.9004524886877828,0.8838977119253936,D168,classification
|
| 335 |
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SVM,0.7194570135746606,0.5176183943817694,0.7194570135746606,0.6020719218861634,D168,classification
|
| 336 |
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LogisticRegression,0.5384615384615384,0.6323780794369029,0.5384615384615384,0.5389140271493212,D168,classification
|
| 337 |
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PyTorchNN,0.7737556561085973,0.6784003194037797,0.7737556561085973,0.7037244450325486,D168,classification
|
| 338 |
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RandomForest,1.0,1.0,1.0,1.0,D169,classification
|
| 339 |
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KNN,0.9484126984126984,0.9553606918147535,0.9484126984126984,0.9497337325189138,D169,classification
|
| 340 |
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DecisionTree,0.9166666666666666,0.9260249554367201,0.9166666666666666,0.9050119548030913,D169,classification
|
| 341 |
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SVM,0.6587301587301587,0.4339254220206601,0.6587301587301587,0.5232019442545758,D169,classification
|
| 342 |
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LogisticRegression,0.6547619047619048,0.6273327900434319,0.6547619047619048,0.6311572024834784,D169,classification
|
| 343 |
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PyTorchNN,0.746031746031746,0.6957529604588427,0.746031746031746,0.6773529540891874,D169,classification
|
| 344 |
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RandomForest,0.9487179487179487,0.951734539969834,0.9487179487179487,0.9452214452214454,D17,classification
|
| 345 |
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KNN,0.8205128205128205,0.8108003108003108,0.8205128205128205,0.8149901380670611,D17,classification
|
| 346 |
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DecisionTree,0.9230769230769231,0.9203574203574204,0.9230769230769231,0.9207100591715977,D17,classification
|
| 347 |
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SVM,0.8461538461538461,0.8262108262108262,0.8461538461538461,0.8199095022624434,D17,classification
|
| 348 |
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LogisticRegression,0.8974358974358975,0.9088319088319088,0.8974358974358975,0.8799396681749624,D17,classification
|
| 349 |
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PyTorchNN,0.7948717948717948,0.6693657219973009,0.7948717948717948,0.7267399267399267,D17,classification
|
| 350 |
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RandomForest,1.0,1.0,1.0,1.0,D170,classification
|
| 351 |
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KNN,0.95,0.9502721522836465,0.95,0.949996087392012,D170,classification
|
| 352 |
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DecisionTree,1.0,1.0,1.0,1.0,D170,classification
|
| 353 |
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SVM,0.6,0.5419460641399417,0.6,0.5694955333683658,D170,classification
|
| 354 |
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LogisticRegression,0.55,0.5542420634920635,0.55,0.5070450924540144,D170,classification
|
| 355 |
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PyTorchNN,0.6535714285714286,0.532102542212104,0.6535714285714286,0.5500273783832772,D170,classification
|
| 356 |
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RandomForest,1.0,1.0,1.0,1.0,D171,classification
|
| 357 |
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KNN,0.954248366013072,0.9550222921584055,0.954248366013072,0.9543689897628672,D171,classification
|
| 358 |
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DecisionTree,0.9379084967320261,0.9465197271122562,0.9379084967320261,0.9250968562387248,D171,classification
|
| 359 |
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SVM,0.5718954248366013,0.5187886373117913,0.5718954248366013,0.5433890940426889,D171,classification
|
| 360 |
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LogisticRegression,0.7124183006535948,0.7558715794009911,0.7124183006535948,0.6758059274480499,D171,classification
|
| 361 |
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PyTorchNN,0.5392156862745098,0.44254681647940075,0.5392156862745098,0.4418873003197005,D171,classification
|
| 362 |
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RandomForest,1.0,1.0,1.0,1.0,D172,classification
|
| 363 |
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KNN,0.9716312056737588,0.9728535238497403,0.9716312056737588,0.9719665520507094,D172,classification
|
| 364 |
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DecisionTree,1.0,1.0,1.0,1.0,D172,classification
|
| 365 |
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SVM,0.6926713947990544,0.4797936611728675,0.6926713947990544,0.5669070354081647,D172,classification
|
| 366 |
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LogisticRegression,0.491725768321513,0.7325198596243926,0.491725768321513,0.4848305752561072,D172,classification
|
| 367 |
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PyTorchNN,0.7304964539007093,0.5757794949601872,0.7304964539007093,0.6333736341176828,D172,classification
|
| 368 |
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RandomForest,0.997867803837953,0.997898705231606,0.997867803837953,0.9978467721141215,D173,classification
|
| 369 |
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KNN,0.9744136460554371,0.9755144625508532,0.9744136460554371,0.9746648143029116,D173,classification
|
| 370 |
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DecisionTree,1.0,1.0,1.0,1.0,D173,classification
|
| 371 |
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SVM,0.814498933901919,0.6634085133273626,0.814498933901919,0.7312305352538967,D173,classification
|
| 372 |
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LogisticRegression,0.42643923240938164,0.8085720482029028,0.42643923240938164,0.4680845316101159,D173,classification
|
| 373 |
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PyTorchNN,0.8230277185501066,0.7183735849231898,0.8230277185501066,0.7540163452572662,D173,classification
|
| 374 |
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RandomForest,1.0,1.0,1.0,1.0,D175,classification
|
| 375 |
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KNN,0.9655172413793104,0.9677661169415293,0.9655172413793104,0.9654898921986462,D175,classification
|
| 376 |
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DecisionTree,0.9080459770114943,0.908958219303047,0.9080459770114943,0.9080216762654613,D175,classification
|
| 377 |
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SVM,0.9655172413793104,0.9677182685253117,0.9655172413793104,0.9654624561147203,D175,classification
|
| 378 |
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LogisticRegression,0.7241379310344828,0.7244670347752953,0.7241379310344828,0.7239189928845101,D175,classification
|
| 379 |
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PyTorchNN,1.0,1.0,1.0,1.0,D175,classification
|
| 380 |
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RandomForest,1.0,1.0,1.0,1.0,D176,classification
|
| 381 |
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KNN,0.9655172413793104,0.9677661169415293,0.9655172413793104,0.9654898921986462,D176,classification
|
| 382 |
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DecisionTree,0.9080459770114943,0.908958219303047,0.9080459770114943,0.9080216762654613,D176,classification
|
| 383 |
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SVM,0.9655172413793104,0.9677182685253117,0.9655172413793104,0.9654624561147203,D176,classification
|
| 384 |
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LogisticRegression,0.7241379310344828,0.7244670347752953,0.7241379310344828,0.7239189928845101,D176,classification
|
| 385 |
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PyTorchNN,1.0,1.0,1.0,1.0,D176,classification
|
| 386 |
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RandomForest,1.0,1.0,1.0,1.0,D177,classification
|
| 387 |
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KNN,0.9655172413793104,0.9677661169415293,0.9655172413793104,0.9654898921986462,D177,classification
|
| 388 |
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DecisionTree,0.9080459770114943,0.908958219303047,0.9080459770114943,0.9080216762654613,D177,classification
|
| 389 |
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SVM,0.9655172413793104,0.9677182685253117,0.9655172413793104,0.9654624561147203,D177,classification
|
| 390 |
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LogisticRegression,0.7241379310344828,0.7244670347752953,0.7241379310344828,0.7239189928845101,D177,classification
|
| 391 |
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PyTorchNN,1.0,1.0,1.0,1.0,D177,classification
|
| 392 |
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RandomForest,1.0,1.0,1.0,1.0,D178,classification
|
| 393 |
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KNN,0.9655172413793104,0.9677661169415293,0.9655172413793104,0.9654898921986462,D178,classification
|
| 394 |
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DecisionTree,0.9080459770114943,0.908958219303047,0.9080459770114943,0.9080216762654613,D178,classification
|
| 395 |
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SVM,0.9655172413793104,0.9677182685253117,0.9655172413793104,0.9654624561147203,D178,classification
|
| 396 |
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LogisticRegression,0.7241379310344828,0.7244670347752953,0.7241379310344828,0.7239189928845101,D178,classification
|
| 397 |
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PyTorchNN,1.0,1.0,1.0,1.0,D178,classification
|
| 398 |
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RandomForest,1.0,1.0,1.0,1.0,D179,classification
|
| 399 |
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KNN,0.9655172413793104,0.9677661169415293,0.9655172413793104,0.9654898921986462,D179,classification
|
| 400 |
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DecisionTree,0.9080459770114943,0.908958219303047,0.9080459770114943,0.9080216762654613,D179,classification
|
| 401 |
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SVM,0.9655172413793104,0.9677182685253117,0.9655172413793104,0.9654624561147203,D179,classification
|
| 402 |
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LogisticRegression,0.7241379310344828,0.7244670347752953,0.7241379310344828,0.7239189928845101,D179,classification
|
| 403 |
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PyTorchNN,1.0,1.0,1.0,1.0,D179,classification
|
| 404 |
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RandomForest,0.7435897435897436,0.727874276261373,0.7435897435897436,0.7336182336182335,D18,classification
|
| 405 |
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KNN,0.6837606837606838,0.6803010208182623,0.6837606837606838,0.6819842304588067,D18,classification
|
| 406 |
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DecisionTree,0.7435897435897436,0.761633428300095,0.7435897435897436,0.7506660006660005,D18,classification
|
| 407 |
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SVM,0.7435897435897436,0.5529257067718606,0.7435897435897436,0.6342383107088989,D18,classification
|
| 408 |
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LogisticRegression,0.7435897435897436,0.698058950395399,0.7435897435897436,0.6927042030134813,D18,classification
|
| 409 |
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PyTorchNN,0.7435897435897436,0.5529257067718606,0.7435897435897436,0.6342383107088989,D18,classification
|
| 410 |
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RandomForest,1.0,1.0,1.0,1.0,D180,classification
|
| 411 |
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KNN,0.9655172413793104,0.9677661169415293,0.9655172413793104,0.9654898921986462,D180,classification
|
| 412 |
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DecisionTree,0.9080459770114943,0.908958219303047,0.9080459770114943,0.9080216762654613,D180,classification
|
| 413 |
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SVM,0.9655172413793104,0.9677182685253117,0.9655172413793104,0.9654624561147203,D180,classification
|
| 414 |
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LogisticRegression,0.7241379310344828,0.7244670347752953,0.7241379310344828,0.7239189928845101,D180,classification
|
| 415 |
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PyTorchNN,1.0,1.0,1.0,1.0,D180,classification
|
| 416 |
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RandomForest,0.8617886178861789,0.8478513356562136,0.8617886178861789,0.820789034813425,D181,classification
|
| 417 |
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KNN,0.8130081300813008,0.7167278221454781,0.8130081300813008,0.7572312155110615,D181,classification
|
| 418 |
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DecisionTree,0.8373983739837398,0.8253412449258863,0.8373983739837398,0.8285770294251166,D181,classification
|
| 419 |
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SVM,0.8048780487804879,0.6938382541720154,0.8048780487804879,0.7428571428571428,D181,classification
|
| 420 |
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LogisticRegression,0.8617886178861789,0.8742547425474254,0.8617886178861789,0.839454806312769,D181,classification
|
| 421 |
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PyTorchNN,0.8699186991869918,0.8526897652154092,0.8699186991869918,0.8486215214558361,D181,classification
|
| 422 |
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RandomForest,0.9527186761229315,0.9541054796612434,0.9527186761229315,0.9527833299367056,D182,classification
|
| 423 |
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KNN,0.8936170212765957,0.8956501045837114,0.8936170212765957,0.8866920713449322,D182,classification
|
| 424 |
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DecisionTree,0.9479905437352246,0.948571891441311,0.9479905437352246,0.9480881611326933,D182,classification
|
| 425 |
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SVM,0.5650118203309693,0.5810093811265623,0.5650118203309693,0.5437449398528297,D182,classification
|
| 426 |
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LogisticRegression,0.6784869976359338,0.6680703019434395,0.6784869976359338,0.6692242168045579,D182,classification
|
| 427 |
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PyTorchNN,0.8108747044917257,0.8161155957374844,0.8108747044917257,0.80868498971785,D182,classification
|
| 428 |
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RandomForest,0.41379310344827586,0.3286353963252804,0.41379310344827586,0.32281169531996173,D183,classification
|
| 429 |
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KNN,0.34748010610079577,0.3149023492547834,0.34748010610079577,0.32476033757810857,D183,classification
|
| 430 |
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DecisionTree,0.27586206896551724,0.2752446075678473,0.27586206896551724,0.2748412501589837,D183,classification
|
| 431 |
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SVM,0.40583554376657827,0.2548293644732721,0.40583554376657827,0.29422430463758,D183,classification
|
| 432 |
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LogisticRegression,0.376657824933687,0.32043347769214314,0.376657824933687,0.3305403103709851,D183,classification
|
| 433 |
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PyTorchNN,0.3421750663129973,0.32038688555929934,0.3421750663129973,0.3282851734323528,D183,classification
|
| 434 |
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RandomForest,0.9014084507042254,0.90457718762064,0.9014084507042254,0.8988922187503511,D184,classification
|
| 435 |
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KNN,0.687793427230047,0.6876627710409815,0.687793427230047,0.6762087894261255,D184,classification
|
| 436 |
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DecisionTree,0.8427230046948356,0.8439576011997499,0.8427230046948356,0.842725977087082,D184,classification
|
| 437 |
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SVM,0.5751173708920188,0.5530698956400223,0.5751173708920188,0.5240055019600695,D184,classification
|
| 438 |
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LogisticRegression,0.6924882629107981,0.7033970861340859,0.6924882629107981,0.6729022138459163,D184,classification
|
| 439 |
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PyTorchNN,0.7018779342723005,0.7112664732793188,0.7018779342723005,0.6737442179551035,D184,classification
|
| 440 |
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RandomForest,0.6571428571428571,0.5761904761904763,0.6571428571428571,0.5836734693877551,D185,classification
|
| 441 |
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KNN,0.45714285714285713,0.40634920634920635,0.45714285714285713,0.4302521008403361,D185,classification
|
| 442 |
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DecisionTree,0.4,0.4732026143790849,0.4,0.42119428090832634,D185,classification
|
| 443 |
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SVM,0.6285714285714286,0.45714285714285713,0.6285714285714286,0.5293233082706768,D185,classification
|
| 444 |
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LogisticRegression,0.6,0.45,0.6,0.5142857142857142,D185,classification
|
| 445 |
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PyTorchNN,0.6857142857142857,0.47020408163265304,0.6857142857142857,0.5578692493946732,D185,classification
|
| 446 |
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RandomForest,0.6571428571428571,0.5761904761904763,0.6571428571428571,0.5836734693877551,D186,classification
|
| 447 |
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KNN,0.45714285714285713,0.40634920634920635,0.45714285714285713,0.4302521008403361,D186,classification
|
| 448 |
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DecisionTree,0.4,0.4732026143790849,0.4,0.42119428090832634,D186,classification
|
| 449 |
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SVM,0.6285714285714286,0.45714285714285713,0.6285714285714286,0.5293233082706768,D186,classification
|
| 450 |
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LogisticRegression,0.6,0.45,0.6,0.5142857142857142,D186,classification
|
| 451 |
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PyTorchNN,0.6857142857142857,0.47020408163265304,0.6857142857142857,0.5578692493946732,D186,classification
|
| 452 |
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RandomForest,0.72,0.6837658336186238,0.72,0.6954999999999999,D187,classification
|
| 453 |
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KNN,0.7066666666666667,0.6850232734872234,0.7066666666666667,0.6939031339031339,D187,classification
|
| 454 |
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DecisionTree,0.6333333333333333,0.6230392156862745,0.6333333333333333,0.6279886011849847,D187,classification
|
| 455 |
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SVM,0.76,0.817986577181208,0.76,0.6628043390920048,D187,classification
|
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LogisticRegression,0.76,0.7204395604395605,0.76,0.6922443181818182,D187,classification
|
| 457 |
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PyTorchNN,0.7666666666666667,0.8218468468468468,0.7666666666666667,0.6776107672659396,D187,classification
|
| 458 |
+
RandomForest,0.8290155440414507,0.8290860766409464,0.8290155440414507,0.8288496515629571,D189,classification
|
| 459 |
+
KNN,0.8238341968911918,0.827940299876198,0.8238341968911918,0.8226281063026397,D189,classification
|
| 460 |
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DecisionTree,0.7772020725388601,0.7774099556927959,0.7772020725388601,0.7767811658667342,D189,classification
|
| 461 |
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SVM,0.8031088082901554,0.803429510628276,0.8031088082901554,0.8031829071257451,D189,classification
|
| 462 |
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LogisticRegression,0.8497409326424871,0.8498618456701941,0.8497409326424871,0.8495951483432046,D189,classification
|
| 463 |
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PyTorchNN,0.7772020725388601,0.803224132392069,0.7772020725388601,0.7742696475491212,D189,classification
|
| 464 |
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RandomForest,0.5185185185185185,0.5159194282001299,0.5185185185185185,0.45789697743720736,D190,classification
|
| 465 |
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KNN,0.5185185185185185,0.5276480962755472,0.5185185185185185,0.4813362381989833,D190,classification
|
| 466 |
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DecisionTree,0.3333333333333333,0.3371212121212121,0.3333333333333333,0.33298059964726634,D190,classification
|
| 467 |
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SVM,0.5555555555555556,0.6393762183235867,0.5555555555555556,0.5095430679721867,D190,classification
|
| 468 |
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LogisticRegression,0.5555555555555556,0.5777777777777778,0.5555555555555556,0.5534979423868313,D190,classification
|
| 469 |
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PyTorchNN,0.5555555555555556,0.5555555555555555,0.5555555555555556,0.5354700854700855,D190,classification
|
| 470 |
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RandomForest,1.0,1.0,1.0,1.0,D191,classification
|
| 471 |
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KNN,0.7727272727272727,0.8,0.7727272727272727,0.7821067821067821,D191,classification
|
| 472 |
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DecisionTree,0.9545454545454546,0.9636363636363636,0.9545454545454546,0.9550045913682278,D191,classification
|
| 473 |
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SVM,0.5909090909090909,0.5123966942148761,0.5909090909090909,0.5319073083778967,D191,classification
|
| 474 |
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LogisticRegression,0.8181818181818182,0.8272727272727274,0.8181818181818182,0.8195592286501377,D191,classification
|
| 475 |
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PyTorchNN,0.6818181818181818,0.7000000000000001,0.6818181818181818,0.6787878787878788,D191,classification
|
| 476 |
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RandomForest,0.9590409590409591,0.9590567169974707,0.9590409590409591,0.9590402232241019,D192,classification
|
| 477 |
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KNN,0.962037962037962,0.9625070805195028,0.962037962037962,0.9620264404737869,D192,classification
|
| 478 |
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DecisionTree,0.9530469530469531,0.9530907688802425,0.9530469530469531,0.953045078555964,D192,classification
|
| 479 |
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SVM,0.9630369630369631,0.9630820751966813,0.9630369630369631,0.963035487373844,D192,classification
|
| 480 |
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LogisticRegression,0.9600399600399601,0.9601046523392437,0.9600399600399601,0.9600378063329197,D192,classification
|
| 481 |
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PyTorchNN,0.957042957042957,0.9578437874516981,0.957042957042957,0.9570213375011538,D192,classification
|
| 482 |
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RandomForest,0.5517241379310345,0.5530377668308702,0.5517241379310345,0.5517241379310345,D194,classification
|
| 483 |
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KNN,0.5172413793103449,0.5235109717868338,0.5172413793103449,0.5102785145888594,D194,classification
|
| 484 |
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DecisionTree,0.5517241379310345,0.5506792058516197,0.5517241379310345,0.5452037617554859,D194,classification
|
| 485 |
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SVM,0.5172413793103449,0.5517241379310345,0.5172413793103449,0.4600725952813067,D194,classification
|
| 486 |
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LogisticRegression,0.5517241379310345,0.5761494252873564,0.5517241379310345,0.528335832083958,D194,classification
|
| 487 |
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PyTorchNN,0.4827586206896552,0.48950524737631185,0.4827586206896552,0.43482891758753833,D194,classification
|
| 488 |
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RandomForest,0.9393939393939394,0.9393939393939394,0.9393939393939394,0.9393939393939394,D195,classification
|
| 489 |
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KNN,1.0,1.0,1.0,1.0,D195,classification
|
| 490 |
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DecisionTree,0.9696969696969697,0.9747474747474749,0.9696969696969697,0.9707376798285889,D195,classification
|
| 491 |
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SVM,0.8484848484848485,0.9242424242424242,0.8484848484848485,0.832996632996633,D195,classification
|
| 492 |
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LogisticRegression,0.9393939393939394,0.9406565656565657,0.9393939393939394,0.9380328103732358,D195,classification
|
| 493 |
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PyTorchNN,0.696969696969697,0.4857667584940312,0.696969696969697,0.5725108225108225,D195,classification
|
| 494 |
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RandomForest,0.9016691957511381,0.888772098837501,0.9016691957511381,0.8908095567339925,D196,classification
|
| 495 |
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KNN,0.8915022761760243,0.8775836681199544,0.8915022761760243,0.8818151843638482,D196,classification
|
| 496 |
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DecisionTree,0.877845220030349,0.8805917168155555,0.877845220030349,0.879169531865227,D196,classification
|
| 497 |
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SVM,0.8971168437025797,0.8805180944487818,0.8971168437025797,0.8787434936802534,D196,classification
|
| 498 |
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LogisticRegression,0.8972685887708649,0.880983836305679,0.8972685887708649,0.8811389369734006,D196,classification
|
| 499 |
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PyTorchNN,0.8995447647951441,0.8862323872642619,0.8995447647951441,0.8772854787487713,D196,classification
|
| 500 |
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RandomForest,0.9217545190241436,0.9219773594568235,0.9217545190241436,0.921721309306331,D197,classification
|
| 501 |
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KNN,0.9616989002654531,0.9624905353797026,0.9616989002654531,0.9616644978955816,D197,classification
|
| 502 |
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DecisionTree,0.9289596763999495,0.9289596786635158,0.9289596763999495,0.9289567666629062,D197,classification
|
| 503 |
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SVM,0.8278346605991658,0.8303929070412033,0.8278346605991658,0.8272834796773232,D197,classification
|
| 504 |
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LogisticRegression,0.8770066995322968,0.878925366109258,0.8770066995322968,0.8767367669665553,D197,classification
|
| 505 |
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PyTorchNN,0.8729616989002654,0.8762055006947294,0.8729616989002654,0.8725342700528175,D197,classification
|
| 506 |
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RandomForest,0.8916323731138546,0.8928752393917433,0.8916323731138546,0.8916478709538948,D198,classification
|
| 507 |
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KNN,0.8998628257887518,0.9034388063541463,0.8998628257887518,0.899800633585459,D198,classification
|
| 508 |
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DecisionTree,0.8683127572016461,0.8711570016080431,0.8683127572016461,0.8682607159195274,D198,classification
|
| 509 |
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SVM,0.8436213991769548,0.844219648763764,0.8436213991769548,0.8434035507032923,D198,classification
|
| 510 |
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LogisticRegression,0.8861454046639232,0.8862925945397954,0.8861454046639232,0.886083585145588,D198,classification
|
| 511 |
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PyTorchNN,0.8449931412894376,0.8504117660496261,0.8449931412894376,0.8447421137821621,D198,classification
|
| 512 |
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RandomForest,0.9230769230769231,0.9423076923076923,0.9230769230769231,0.9265471370734528,D199,classification
|
| 513 |
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KNN,0.5769230769230769,0.5494505494505495,0.5769230769230769,0.5628517823639775,D199,classification
|
| 514 |
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DecisionTree,0.9230769230769231,0.9423076923076923,0.9230769230769231,0.9265471370734528,D199,classification
|
| 515 |
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SVM,0.7692307692307693,0.591715976331361,0.7692307692307693,0.6688963210702341,D199,classification
|
| 516 |
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LogisticRegression,1.0,1.0,1.0,1.0,D199,classification
|
| 517 |
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PyTorchNN,0.7692307692307693,0.591715976331361,0.7692307692307693,0.6688963210702341,D199,classification
|
| 518 |
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RandomForest,0.8360655737704918,0.8360655737704918,0.8360655737704918,0.8360655737704918,D2,classification
|
| 519 |
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KNN,0.6885245901639344,0.6888488560619708,0.6885245901639344,0.6870031363302711,D2,classification
|
| 520 |
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DecisionTree,0.8524590163934426,0.8632629736776313,0.8524590163934426,0.8520620807367125,D2,classification
|
| 521 |
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SVM,0.7049180327868853,0.725050330744895,0.7049180327868853,0.6941182986264953,D2,classification
|
| 522 |
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LogisticRegression,0.8852459016393442,0.8854765453126109,0.8852459016393442,0.8851220105749872,D2,classification
|
| 523 |
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PyTorchNN,0.819672131147541,0.8236468343697003,0.819672131147541,0.819672131147541,D2,classification
|
| 524 |
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RandomForest,0.6585365853658537,0.6027874564459931,0.6585365853658537,0.6176321138211383,D20,classification
|
| 525 |
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KNN,0.6219512195121951,0.4809756097560976,0.6219512195121951,0.5424536952136438,D20,classification
|
| 526 |
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DecisionTree,0.6463414634146342,0.6506632434745401,0.6463414634146342,0.6484125781807951,D20,classification
|
| 527 |
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SVM,0.7073170731707317,0.5002974419988102,0.7073170731707317,0.5860627177700348,D20,classification
|
| 528 |
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LogisticRegression,0.7317073170731707,0.8054878048780487,0.7317073170731707,0.6395845229355304,D20,classification
|
| 529 |
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PyTorchNN,0.7073170731707317,0.5002974419988102,0.7073170731707317,0.5860627177700348,D20,classification
|
| 530 |
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RandomForest,0.6112,0.6023844270170128,0.6112,0.606062706402297,D200,classification
|
| 531 |
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KNN,0.6492,0.42146063999999994,0.6492,0.511109192335678,D200,classification
|
| 532 |
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DecisionTree,0.567,0.605243925828897,0.567,0.5767586278011942,D200,classification
|
| 533 |
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SVM,0.6492,0.42146063999999994,0.6492,0.511109192335678,D200,classification
|
| 534 |
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LogisticRegression,0.6924,0.6773196097560975,0.6924,0.6607903005106,D200,classification
|
| 535 |
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PyTorchNN,0.4976,0.5963283510860846,0.4976,0.4971151187468159,D200,classification
|
| 536 |
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RandomForest,0.7592592592592593,0.7696969696969698,0.7592592592592593,0.7642420658387542,D21,classification
|
| 537 |
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KNN,0.7222222222222222,0.7767857142857143,0.7222222222222222,0.7442455242966751,D21,classification
|
| 538 |
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DecisionTree,0.7037037037037037,0.770940170940171,0.7037037037037037,0.7301587301587302,D21,classification
|
| 539 |
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SVM,0.7407407407407407,0.7407407407407407,0.7407407407407407,0.7407407407407407,D21,classification
|
| 540 |
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LogisticRegression,0.7592592592592593,0.7481884057971014,0.7592592592592593,0.7535014005602241,D21,classification
|
| 541 |
+
PyTorchNN,0.7777777777777778,0.7777777777777778,0.7777777777777778,0.7777777777777778,D21,classification
|
| 542 |
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RandomForest,0.9903846153846154,0.9906674208144797,0.9903846153846154,0.9904222748776574,D22,classification
|
| 543 |
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KNN,0.8557692307692307,0.876307160581354,0.8557692307692307,0.8595430884904569,D22,classification
|
| 544 |
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DecisionTree,0.9615384615384616,0.9656964656964657,0.9615384615384616,0.9620799490364708,D22,classification
|
| 545 |
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SVM,0.6826923076923077,0.4660687869822485,0.6826923076923077,0.5539560439560439,D22,classification
|
| 546 |
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LogisticRegression,0.9230769230769231,0.9225330568680105,0.9230769230769231,0.922409188034188,D22,classification
|
| 547 |
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PyTorchNN,0.9230769230769231,0.9225330568680105,0.9230769230769231,0.922409188034188,D22,classification
|
| 548 |
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RandomForest,0.683982683982684,0.693016068016068,0.683982683982684,0.6847890774941079,D23,classification
|
| 549 |
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KNN,0.658008658008658,0.6755722825029756,0.658008658008658,0.6576625453623786,D23,classification
|
| 550 |
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DecisionTree,0.6623376623376623,0.6656526656526657,0.6623376623376623,0.6632029411649549,D23,classification
|
| 551 |
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SVM,0.658008658008658,0.6963630782325383,0.658008658008658,0.6530177780814129,D23,classification
|
| 552 |
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LogisticRegression,0.7662337662337663,0.7808105856407743,0.7662337662337663,0.766522950733477,D23,classification
|
| 553 |
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PyTorchNN,0.7012987012987013,0.7481604198471669,0.7012987012987013,0.6962226799087886,D23,classification
|
| 554 |
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RandomForest,0.7916666666666666,0.7937062937062938,0.7916666666666666,0.7913043478260869,D24,classification
|
| 555 |
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KNN,0.3333333333333333,0.2777777777777778,0.3333333333333333,0.28888888888888886,D24,classification
|
| 556 |
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DecisionTree,0.7916666666666666,0.7937062937062938,0.7916666666666666,0.7913043478260869,D24,classification
|
| 557 |
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SVM,0.5,0.25,0.5,0.3333333333333333,D24,classification
|
| 558 |
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LogisticRegression,0.75,0.7571428571428571,0.75,0.7482517482517483,D24,classification
|
| 559 |
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PyTorchNN,0.5,0.5,0.5,0.48571428571428577,D24,classification
|
| 560 |
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RandomForest,1.0,1.0,1.0,1.0,D25,classification
|
| 561 |
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KNN,0.725,0.781578947368421,0.725,0.7311111111111112,D25,classification
|
| 562 |
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DecisionTree,1.0,1.0,1.0,1.0,D25,classification
|
| 563 |
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SVM,0.65,0.42250000000000004,0.65,0.5121212121212121,D25,classification
|
| 564 |
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LogisticRegression,0.9625,0.9631169709263014,0.9625,0.9626469085334696,D25,classification
|
| 565 |
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PyTorchNN,0.65,0.42250000000000004,0.65,0.5121212121212121,D25,classification
|
| 566 |
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RandomForest,1.0,1.0,1.0,1.0,D26,classification
|
| 567 |
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KNN,0.7777777777777778,0.7777777777777778,0.7777777777777778,0.7777777777777778,D26,classification
|
| 568 |
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DecisionTree,1.0,1.0,1.0,1.0,D26,classification
|
| 569 |
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SVM,0.5555555555555556,0.8095238095238095,0.5555555555555556,0.5333333333333333,D26,classification
|
| 570 |
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LogisticRegression,0.8888888888888888,0.9166666666666666,0.8888888888888888,0.8917748917748918,D26,classification
|
| 571 |
+
PyTorchNN,0.9444444444444444,0.9523809523809523,0.9444444444444444,0.9453734671125977,D26,classification
|
| 572 |
+
RandomForest,0.714183891660727,0.7146184080124937,0.714183891660727,0.7137660282610846,D27,classification
|
| 573 |
+
KNN,0.6004989308624377,0.6096159938697142,0.6004989308624377,0.5949267416887507,D27,classification
|
| 574 |
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DecisionTree,0.7227369921596579,0.7229322730096831,0.7227369921596579,0.7214701092696969,D27,classification
|
| 575 |
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SVM,0.4477904490377762,0.4390985955354924,0.4477904490377762,0.426476611018436,D27,classification
|
| 576 |
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LogisticRegression,0.32608695652173914,0.2999480120768477,0.32608695652173914,0.30426730418204734,D27,classification
|
| 577 |
+
PyTorchNN,0.7824305060584462,0.786515762608163,0.7824305060584462,0.7826405601132863,D27,classification
|
| 578 |
+
RandomForest,0.9853658536585366,0.9857839721254356,0.9853658536585366,0.9853637641109759,D3,classification
|
| 579 |
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KNN,0.7317073170731707,0.731716605056378,0.7317073170731707,0.7316945476158553,D3,classification
|
| 580 |
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DecisionTree,0.9853658536585366,0.9857839721254356,0.9853658536585366,0.9853637641109759,D3,classification
|
| 581 |
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SVM,0.6829268292682927,0.686704394805491,0.6829268292682927,0.6811049623101273,D3,classification
|
| 582 |
+
LogisticRegression,0.7804878048780488,0.7902814777703379,0.7804878048780488,0.7784838497033619,D3,classification
|
| 583 |
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PyTorchNN,0.751219512195122,0.7619896844129732,0.751219512195122,0.748452689408818,D3,classification
|
| 584 |
+
RandomForest,0.5422254068993756,0.4950742900120208,0.5422254068993756,0.5021391962932328,D30,classification
|
| 585 |
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KNN,0.4707749001944928,0.41779304869300227,0.4707749001944928,0.42697594214875406,D30,classification
|
| 586 |
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DecisionTree,0.454294195925888,0.45640289647456544,0.454294195925888,0.45528715581391366,D30,classification
|
| 587 |
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SVM,0.5289180059371481,0.36909542936561973,0.5289180059371481,0.3866416228315786,D30,classification
|
| 588 |
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LogisticRegression,0.5283038182004299,0.34340730322172114,0.5283038182004299,0.4007128874606435,D30,classification
|
| 589 |
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PyTorchNN,0.5052717780734978,0.255299569717554,0.5052717780734978,0.33920727597018496,D30,classification
|
| 590 |
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RandomForest,0.75,0.7254901960784313,0.75,0.7359307359307359,D31,classification
|
| 591 |
+
KNN,0.7,0.7523809523809524,0.7,0.72,D31,classification
|
| 592 |
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DecisionTree,0.75,0.7254901960784313,0.75,0.7359307359307359,D31,classification
|
| 593 |
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SVM,0.8,0.8,0.8,0.8,D31,classification
|
| 594 |
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LogisticRegression,0.8,0.8,0.8,0.8,D31,classification
|
| 595 |
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PyTorchNN,0.85,0.8666666666666666,0.85,0.8559139784946236,D31,classification
|
| 596 |
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RandomForest,0.801277501774308,0.7890845018276285,0.801277501774308,0.7852449067790623,D32,classification
|
| 597 |
+
KNN,0.7338537970191625,0.6579038289388747,0.7338537970191625,0.6312858775103121,D32,classification
|
| 598 |
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DecisionTree,0.5919091554293825,0.6423626313417162,0.5919091554293825,0.6106569632150803,D32,classification
|
| 599 |
+
SVM,0.7352732434350603,0.5406267425115134,0.7352732434350603,0.6231027240889345,D32,classification
|
| 600 |
+
LogisticRegression,0.815471965933286,0.8062941020836051,0.815471965933286,0.8068916096942614,D32,classification
|
| 601 |
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PyTorchNN,0.7352732434350603,0.5406267425115134,0.7352732434350603,0.6231027240889345,D32,classification
|
| 602 |
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RandomForest,0.9212283044058746,0.9228929621715137,0.9212283044058746,0.9209772967117146,D33,classification
|
| 603 |
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KNN,0.9689586114819759,0.9689646084826959,0.9689586114819759,0.9689528314417265,D33,classification
|
| 604 |
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DecisionTree,0.8364485981308412,0.8363796908693625,0.8364485981308412,0.8363688795570876,D33,classification
|
| 605 |
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SVM,0.5293724966622163,0.2802352402223882,0.5293724966622163,0.36647087721792887,D33,classification
|
| 606 |
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LogisticRegression,0.6238317757009346,0.6280986628245164,0.6238317757009346,0.6125856547778584,D33,classification
|
| 607 |
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PyTorchNN,0.5293724966622163,0.2802352402223882,0.5293724966622163,0.36647087721792887,D33,classification
|
| 608 |
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RandomForest,0.9554831704668838,0.9563132325277394,0.9554831704668838,0.9552787283859082,D34,classification
|
| 609 |
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KNN,0.7904451682953312,0.7895586394937039,0.7904451682953312,0.7890803154172036,D34,classification
|
| 610 |
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DecisionTree,0.9174809989142236,0.9174337705480291,0.9174809989142236,0.9172973192243068,D34,classification
|
| 611 |
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SVM,0.6623235613463626,0.6620878137504833,0.6623235613463626,0.6440529197335054,D34,classification
|
| 612 |
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LogisticRegression,0.9239956568946797,0.923941257166108,0.9239956568946797,0.923856620068152,D34,classification
|
| 613 |
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PyTorchNN,0.9478827361563518,0.947879192451732,0.9478827361563518,0.9478075294127297,D34,classification
|
| 614 |
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RandomForest,0.855072463768116,0.8629691564474173,0.855072463768116,0.8544615995479605,D35,classification
|
| 615 |
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KNN,0.6376811594202898,0.6491146197920717,0.6376811594202898,0.6321271980573477,D35,classification
|
| 616 |
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DecisionTree,0.7681159420289855,0.768438679819754,0.7681159420289855,0.7681159420289855,D35,classification
|
| 617 |
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SVM,0.5869565217391305,0.6669187145557656,0.5869565217391305,0.5356264226427241,D35,classification
|
| 618 |
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LogisticRegression,0.7971014492753623,0.7996168723070898,0.7971014492753623,0.7968455335082091,D35,classification
|
| 619 |
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PyTorchNN,0.6884057971014492,0.7089585223439644,0.6884057971014492,0.6817512937049647,D35,classification
|
| 620 |
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RandomForest,0.9947916666666666,0.9948330026455027,0.9947916666666666,0.994782461632168,D36,classification
|
| 621 |
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KNN,0.9947916666666666,0.9948330026455027,0.9947916666666666,0.994782461632168,D36,classification
|
| 622 |
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DecisionTree,0.9739583333333334,0.973924512987013,0.9739583333333334,0.9739123081608403,D36,classification
|
| 623 |
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SVM,0.9739583333333334,0.9749599358974358,0.9739583333333334,0.9737089603283174,D36,classification
|
| 624 |
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LogisticRegression,0.96875,0.9701812977099237,0.96875,0.9683837890625,D36,classification
|
| 625 |
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PyTorchNN,0.984375,0.9843787578162578,0.984375,0.9843473848965042,D36,classification
|
| 626 |
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RandomForest,0.8925385239253852,0.8848922745460142,0.8925385239253852,0.8855631426952039,D38,classification
|
| 627 |
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KNN,0.8487429034874291,0.8241688538932633,0.8487429034874291,0.8232069696292892,D38,classification
|
| 628 |
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DecisionTree,0.856853203568532,0.8575535490931833,0.856853203568532,0.8571987543822701,D38,classification
|
| 629 |
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SVM,0.8349553933495539,0.8346883468834687,0.8349553933495539,0.7622101654224793,D38,classification
|
| 630 |
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LogisticRegression,0.8690186536901865,0.855060991964921,0.8690186536901865,0.8498590078539366,D38,classification
|
| 631 |
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PyTorchNN,0.8876723438767234,0.8803255870249334,0.8876723438767234,0.8821886057258261,D38,classification
|
| 632 |
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RandomForest,0.9,0.8099999999999999,0.9,0.8526315789473683,D39,classification
|
| 633 |
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KNN,0.85,0.8052631578947368,0.85,0.827027027027027,D39,classification
|
| 634 |
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DecisionTree,0.85,0.8052631578947368,0.85,0.827027027027027,D39,classification
|
| 635 |
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SVM,0.9,0.8099999999999999,0.9,0.8526315789473683,D39,classification
|
| 636 |
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LogisticRegression,0.9,0.8099999999999999,0.9,0.8526315789473683,D39,classification
|
| 637 |
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PyTorchNN,0.9,0.8099999999999999,0.9,0.8526315789473683,D39,classification
|
| 638 |
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RandomForest,0.7201417004048583,0.720373071896627,0.7201417004048583,0.7201022041365748,D41,classification
|
| 639 |
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KNN,0.5096153846153846,0.509575510226608,0.5096153846153846,0.5095577269924139,D41,classification
|
| 640 |
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DecisionTree,0.6310728744939271,0.6310667421817406,0.6310728744939271,0.6310567159221113,D41,classification
|
| 641 |
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SVM,0.4974696356275304,0.24747603837138785,0.4974696356275304,0.3305256179938238,D41,classification
|
| 642 |
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LogisticRegression,0.7226720647773279,0.7226720647773279,0.7226720647773279,0.7226720647773279,D41,classification
|
| 643 |
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PyTorchNN,0.4974696356275304,0.24747603837138785,0.4974696356275304,0.3305256179938238,D41,classification
|
| 644 |
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RandomForest,0.9877984084880637,0.9757456958115515,0.9877984084880637,0.9817350609046035,D42,classification
|
| 645 |
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KNN,0.9877984084880637,0.9757456958115515,0.9877984084880637,0.9817350609046035,D42,classification
|
| 646 |
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DecisionTree,0.9702917771883289,0.9755309336526287,0.9702917771883289,0.9729043021672958,D42,classification
|
| 647 |
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SVM,0.9877984084880637,0.9757456958115515,0.9877984084880637,0.9817350609046035,D42,classification
|
| 648 |
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LogisticRegression,0.9877984084880637,0.9757456958115515,0.9877984084880637,0.9817350609046035,D42,classification
|
| 649 |
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PyTorchNN,0.9877984084880637,0.9757456958115515,0.9877984084880637,0.9817350609046035,D42,classification
|
| 650 |
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RandomForest,0.95,0.9666666666666666,0.95,0.9542857142857143,D44,classification
|
| 651 |
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KNN,0.8,0.9333333333333333,0.8,0.8375,D44,classification
|
| 652 |
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DecisionTree,0.95,0.9666666666666666,0.95,0.9542857142857143,D44,classification
|
| 653 |
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SVM,0.9,0.8099999999999999,0.9,0.8526315789473683,D44,classification
|
| 654 |
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LogisticRegression,0.95,0.9666666666666666,0.95,0.9542857142857143,D44,classification
|
| 655 |
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PyTorchNN,1.0,1.0,1.0,1.0,D44,classification
|
| 656 |
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RandomForest,1.0,1.0,1.0,1.0,D45,classification
|
| 657 |
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KNN,0.9746835443037974,0.9746835443037974,0.9746835443037974,0.9746835443037974,D45,classification
|
| 658 |
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DecisionTree,1.0,1.0,1.0,1.0,D45,classification
|
| 659 |
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SVM,0.9493670886075949,0.9529837251356238,0.9493670886075949,0.9482794186591654,D45,classification
|
| 660 |
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LogisticRegression,1.0,1.0,1.0,1.0,D45,classification
|
| 661 |
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PyTorchNN,0.9620253164556962,0.96409666283084,0.9620253164556962,0.9614407693753002,D45,classification
|
| 662 |
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RandomForest,0.5217391304347826,0.5269565217391304,0.5217391304347826,0.5083715906022144,D46,classification
|
| 663 |
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KNN,0.5217391304347826,0.47078496950619714,0.5217391304347826,0.49130434782608684,D46,classification
|
| 664 |
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DecisionTree,0.5507246376811594,0.5207357859531773,0.5507246376811594,0.5340711462450594,D46,classification
|
| 665 |
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SVM,0.6666666666666666,0.49230769230769234,0.6666666666666666,0.5663716814159293,D46,classification
|
| 666 |
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LogisticRegression,0.21739130434782608,0.5041204887752202,0.21739130434782608,0.27726540770019026,D46,classification
|
| 667 |
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PyTorchNN,0.4492753623188406,0.5105665808210877,0.4492753623188406,0.4717840427376019,D46,classification
|
| 668 |
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RandomForest,0.7681159420289855,0.7802668787557441,0.7681159420289855,0.7660547504025764,D47,classification
|
| 669 |
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KNN,0.7681159420289855,0.7770364817591204,0.7681159420289855,0.7666470818644732,D47,classification
|
| 670 |
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DecisionTree,0.6594202898550725,0.6606191108871277,0.6594202898550725,0.6591519055287172,D47,classification
|
| 671 |
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SVM,0.7898550724637681,0.7952562998892294,0.7898550724637681,0.7891580927093705,D47,classification
|
| 672 |
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LogisticRegression,0.7463768115942029,0.7631391851244189,0.7463768115942029,0.7429401830250186,D47,classification
|
| 673 |
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PyTorchNN,0.6739130434782609,0.7071044649034113,0.6739130434782609,0.6619629541329015,D47,classification
|
| 674 |
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RandomForest,0.9166666666666666,0.9259259259259259,0.9166666666666666,0.9131652661064426,D48,classification
|
| 675 |
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KNN,0.8333333333333334,0.8666666666666667,0.8333333333333334,0.8148148148148148,D48,classification
|
| 676 |
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DecisionTree,0.9166666666666666,0.9259259259259259,0.9166666666666666,0.9131652661064426,D48,classification
|
| 677 |
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SVM,0.8333333333333334,0.8666666666666667,0.8333333333333334,0.8148148148148148,D48,classification
|
| 678 |
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LogisticRegression,0.9166666666666666,0.9259259259259259,0.9166666666666666,0.9131652661064426,D48,classification
|
| 679 |
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PyTorchNN,0.8333333333333334,0.8333333333333334,0.8333333333333334,0.8333333333333334,D48,classification
|
| 680 |
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RandomForest,0.9803125,0.980700704225352,0.9803125,0.9719152263294296,D49,classification
|
| 681 |
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KNN,0.9815625,0.9778820243737306,0.9815625,0.9786572315989583,D49,classification
|
| 682 |
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DecisionTree,0.97125,0.9769917696285478,0.97125,0.9737787144729062,D49,classification
|
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SVM,0.9828125,0.9799120795107034,0.9828125,0.9805229553383005,D49,classification
|
| 684 |
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LogisticRegression,0.860625,0.9764533312781082,0.860625,0.9082582948015304,D49,classification
|
| 685 |
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PyTorchNN,0.97875,0.9579515625,0.97875,0.9682391029690461,D49,classification
|
| 686 |
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RandomForest,0.7207792207792207,0.721938775510204,0.7207792207792207,0.7213282898562086,D5,classification
|
| 687 |
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KNN,0.6623376623376623,0.6712245977185163,0.6623376623376623,0.6657943349753694,D5,classification
|
| 688 |
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DecisionTree,0.7727272727272727,0.7812061711079944,0.7727272727272727,0.7753613460419744,D5,classification
|
| 689 |
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SVM,0.7662337662337663,0.7613360869174822,0.7662337662337663,0.7586005830903791,D5,classification
|
| 690 |
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LogisticRegression,0.7402597402597403,0.742500581350283,0.7402597402597403,0.7412536443148688,D5,classification
|
| 691 |
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PyTorchNN,0.6818181818181818,0.7066326530612246,0.6818181818181818,0.6878688524590164,D5,classification
|
| 692 |
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RandomForest,0.9083268826716797,0.8994003517425857,0.9083268826716797,0.9017412402238405,D50,classification
|
| 693 |
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KNN,0.8956098639831914,0.8856233606795122,0.8956098639831914,0.8891664326286803,D50,classification
|
| 694 |
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DecisionTree,0.8833351763795201,0.8831047122656932,0.8833351763795201,0.8832195352243404,D50,classification
|
| 695 |
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SVM,0.8793541966161672,0.7732638031064648,0.8793541966161672,0.8229037448063268,D50,classification
|
| 696 |
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LogisticRegression,0.8858785801172178,0.8609057584868447,0.8858785801172178,0.8617571500973997,D50,classification
|
| 697 |
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PyTorchNN,0.8793541966161672,0.7732638031064648,0.8793541966161672,0.8229037448063268,D50,classification
|
| 698 |
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RandomForest,0.9142857142857143,0.9163533834586466,0.9142857142857143,0.914569301666076,D51,classification
|
| 699 |
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KNN,0.7714285714285715,0.8163265306122449,0.7714285714285715,0.7703081232492998,D51,classification
|
| 700 |
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DecisionTree,0.45714285714285713,0.7605042016806722,0.45714285714285713,0.3168124392614189,D51,classification
|
| 701 |
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SVM,0.6,0.7647058823529412,0.6,0.4768518518518518,D51,classification
|
| 702 |
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LogisticRegression,0.9428571428571428,0.9428571428571428,0.9428571428571428,0.9428571428571428,D51,classification
|
| 703 |
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PyTorchNN,0.8571428571428571,0.8594924812030076,0.8571428571428571,0.8576155027767932,D51,classification
|
| 704 |
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RandomForest,0.9883720930232558,0.9883720930232558,0.9883720930232558,0.9883720930232558,D52,classification
|
| 705 |
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KNN,0.9593023255813954,0.9202609518658735,0.9593023255813954,0.9393761645159063,D52,classification
|
| 706 |
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DecisionTree,0.9941860465116279,0.9942210703278229,0.9941860465116279,0.9939712153230035,D52,classification
|
| 707 |
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SVM,0.9593023255813954,0.9202609518658735,0.9593023255813954,0.9393761645159063,D52,classification
|
| 708 |
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LogisticRegression,0.9825581395348837,0.9828696013289036,0.9825581395348837,0.9802582709559454,D52,classification
|
| 709 |
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PyTorchNN,0.9883720930232558,0.9883720930232558,0.9883720930232558,0.9883720930232558,D52,classification
|
| 710 |
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RandomForest,0.9714285714285714,0.9715381717299723,0.9714285714285714,0.9712527056277056,D53,classification
|
| 711 |
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KNN,0.9857142857142858,0.9857142857142858,0.9857142857142858,0.9857142857142858,D53,classification
|
| 712 |
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DecisionTree,0.9642857142857143,0.9641842532467532,0.9642857142857143,0.9641785651256797,D53,classification
|
| 713 |
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SVM,0.9642857142857143,0.9641842532467532,0.9642857142857143,0.9641785651256797,D53,classification
|
| 714 |
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LogisticRegression,0.9571428571428572,0.9578889944743604,0.9571428571428572,0.9565880056170154,D53,classification
|
| 715 |
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PyTorchNN,0.95,0.9498106060606061,0.95,0.9498499911759516,D53,classification
|
| 716 |
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RandomForest,0.9714285714285714,0.9715381717299723,0.9714285714285714,0.9712527056277056,D54,classification
|
| 717 |
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KNN,0.9857142857142858,0.9857142857142858,0.9857142857142858,0.9857142857142858,D54,classification
|
| 718 |
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DecisionTree,0.9642857142857143,0.9641842532467532,0.9642857142857143,0.9641785651256797,D54,classification
|
| 719 |
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SVM,0.9642857142857143,0.9641842532467532,0.9642857142857143,0.9641785651256797,D54,classification
|
| 720 |
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LogisticRegression,0.9571428571428572,0.9578889944743604,0.9571428571428572,0.9565880056170154,D54,classification
|
| 721 |
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PyTorchNN,0.95,0.9498106060606061,0.95,0.9498499911759516,D54,classification
|
| 722 |
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RandomForest,0.7201417004048583,0.720373071896627,0.7201417004048583,0.7201022041365748,D55,classification
|
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KNN,0.5096153846153846,0.509575510226608,0.5096153846153846,0.5095577269924139,D55,classification
|
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DecisionTree,0.6310728744939271,0.6310667421817406,0.6310728744939271,0.6310567159221113,D55,classification
|
| 725 |
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SVM,0.4974696356275304,0.24747603837138785,0.4974696356275304,0.3305256179938238,D55,classification
|
| 726 |
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LogisticRegression,0.7226720647773279,0.7226720647773279,0.7226720647773279,0.7226720647773279,D55,classification
|
| 727 |
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PyTorchNN,0.4974696356275304,0.24747603837138785,0.4974696356275304,0.3305256179938238,D55,classification
|
| 728 |
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RandomForest,0.6630109670987039,0.6637655331911664,0.6630109670987039,0.6629883054008159,D56,classification
|
| 729 |
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KNN,0.46286141575274176,0.44966639295330274,0.46286141575274176,0.45484527650861667,D56,classification
|
| 730 |
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DecisionTree,0.542123629112662,0.5437052523128555,0.542123629112662,0.5424716614779893,D56,classification
|
| 731 |
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SVM,0.4995014955134596,0.24950174402018271,0.4995014955134596,0.3327795867716001,D56,classification
|
| 732 |
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LogisticRegression,0.4995014955134596,0.24950174402018271,0.4995014955134596,0.3327795867716001,D56,classification
|
| 733 |
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PyTorchNN,0.4995014955134596,0.24950174402018271,0.4995014955134596,0.3327795867716001,D56,classification
|
| 734 |
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RandomForest,1.0,1.0,1.0,1.0,D57,classification
|
| 735 |
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KNN,0.9025641025641026,0.9155059471948472,0.9025641025641026,0.9057875457875458,D57,classification
|
| 736 |
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DecisionTree,1.0,1.0,1.0,1.0,D57,classification
|
| 737 |
+
SVM,0.9769230769230769,0.9776040353089533,0.9769230769230769,0.9765157197537124,D57,classification
|
| 738 |
+
LogisticRegression,0.7794871794871795,0.8061268556005399,0.7794871794871795,0.7041344257320589,D57,classification
|
| 739 |
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PyTorchNN,0.9333333333333333,0.9380901762777926,0.9333333333333333,0.9346436781609196,D57,classification
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| 740 |
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RandomForest,0.9882903981264637,0.988430059460994,0.9882903981264637,0.9882858794290427,D58,classification
|
| 741 |
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KNN,0.7611241217798594,0.7522679114838239,0.7611241217798594,0.7503953970086124,D58,classification
|
| 742 |
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DecisionTree,0.9484777517564403,0.9488929200957884,0.9484777517564403,0.9485940206836367,D58,classification
|
| 743 |
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SVM,0.3840749414519906,0.359943987474809,0.3840749414519906,0.25041822927592666,D58,classification
|
| 744 |
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LogisticRegression,0.4028103044496487,0.2972306988700431,0.4028103044496487,0.32670832312783515,D58,classification
|
| 745 |
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PyTorchNN,0.3161592505854801,0.3290853974711818,0.3161592505854801,0.17665762056214337,D58,classification
|
| 746 |
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RandomForest,0.8980426849496849,0.8846546335792849,0.8980426849496849,0.887593259933073,D6,classification
|
| 747 |
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KNN,0.8762578790224483,0.8548895667007627,0.8762578790224483,0.8618439405479095,D6,classification
|
| 748 |
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DecisionTree,0.8650890191308194,0.8679703471164416,0.8650890191308194,0.8664882705127352,D6,classification
|
| 749 |
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SVM,0.8794647793873714,0.838755865354365,0.8794647793873714,0.8244422412690984,D6,classification
|
| 750 |
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LogisticRegression,0.8836669246931328,0.8555682950001035,0.8836669246931328,0.8559390337404147,D6,classification
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| 751 |
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PyTorchNN,0.892734711931881,0.8744190560134603,0.892734711931881,0.8665163288944338,D6,classification
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| 752 |
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RandomForest,0.9473684210526315,0.9484193575726757,0.9473684210526315,0.9475905673274094,D61,classification
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| 753 |
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KNN,0.9385964912280702,0.9409048938134812,0.9385964912280702,0.937745598564312,D61,classification
|
| 754 |
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DecisionTree,0.9035087719298246,0.9059653609727645,0.9035087719298246,0.9040937563373311,D61,classification
|
| 755 |
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SVM,0.9210526315789473,0.9299342105263156,0.9210526315789473,0.9187915604785595,D61,classification
|
| 756 |
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LogisticRegression,0.9298245614035088,0.9310111026358167,0.9298245614035088,0.9301207564365458,D61,classification
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| 757 |
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PyTorchNN,0.9122807017543859,0.918270359442911,0.9122807017543859,0.9101214574898786,D61,classification
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| 758 |
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RandomForest,0.967741935483871,0.967741935483871,0.967741935483871,0.967741935483871,D68,classification
|
| 759 |
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KNN,0.9516129032258065,0.9620922179697468,0.9516129032258065,0.9562483057739224,D68,classification
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| 760 |
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DecisionTree,0.9516129032258065,0.9620922179697468,0.9516129032258065,0.9562483057739224,D68,classification
|
| 761 |
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SVM,0.967741935483871,0.9365244536940687,0.967741935483871,0.9518773135906927,D68,classification
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| 762 |
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LogisticRegression,0.967741935483871,0.967741935483871,0.967741935483871,0.967741935483871,D68,classification
|
| 763 |
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PyTorchNN,0.967741935483871,0.9365244536940687,0.967741935483871,0.9518773135906927,D68,classification
|
| 764 |
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RandomForest,1.0,1.0,1.0,1.0,D69,classification
|
| 765 |
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KNN,0.64,0.4426706331387517,0.64,0.521371808084278,D69,classification
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DecisionTree,1.0,1.0,1.0,1.0,D69,classification
|
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SVM,0.41,0.1681,0.41,0.23843971631205674,D69,classification
|
| 768 |
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LogisticRegression,0.905,0.9153298173438297,0.905,0.9028950975583169,D69,classification
|
| 769 |
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PyTorchNN,0.84,0.8659897360703812,0.84,0.841935508935509,D69,classification
|
| 770 |
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RandomForest,0.8980426849496849,0.8846546335792849,0.8980426849496849,0.887593259933073,D7,classification
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| 771 |
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KNN,0.8762578790224483,0.8548895667007627,0.8762578790224483,0.8618439405479095,D7,classification
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| 772 |
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DecisionTree,0.8650890191308194,0.8679703471164416,0.8650890191308194,0.8664882705127352,D7,classification
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| 773 |
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SVM,0.8794647793873714,0.838755865354365,0.8794647793873714,0.8244422412690984,D7,classification
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| 774 |
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LogisticRegression,0.8836669246931328,0.8555682950001035,0.8836669246931328,0.8559390337404147,D7,classification
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| 775 |
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PyTorchNN,0.892734711931881,0.8744190560134603,0.892734711931881,0.8665163288944338,D7,classification
|
| 776 |
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RandomForest,0.875,0.8767715419501133,0.875,0.8751108195326076,D71,classification
|
| 777 |
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KNN,0.8035714285714286,0.8053429705215419,0.8035714285714286,0.8037455735512404,D71,classification
|
| 778 |
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DecisionTree,0.8154761904761905,0.8153897028897028,0.8154761904761905,0.8154039646673885,D71,classification
|
| 779 |
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SVM,0.7380952380952381,0.7396637179245875,0.7380952380952381,0.7362126564254223,D71,classification
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| 780 |
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LogisticRegression,0.8690476190476191,0.875227732964897,0.8690476190476191,0.8690476190476191,D71,classification
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| 781 |
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PyTorchNN,0.875,0.8824430199430199,0.875,0.8749512808702122,D71,classification
|
| 782 |
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RandomForest,0.875,0.8767715419501133,0.875,0.8751108195326076,D72,classification
|
| 783 |
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KNN,0.8035714285714286,0.8053429705215419,0.8035714285714286,0.8037455735512404,D72,classification
|
| 784 |
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DecisionTree,0.8154761904761905,0.8153897028897028,0.8154761904761905,0.8154039646673885,D72,classification
|
| 785 |
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SVM,0.7380952380952381,0.7396637179245875,0.7380952380952381,0.7362126564254223,D72,classification
|
| 786 |
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LogisticRegression,0.8690476190476191,0.875227732964897,0.8690476190476191,0.8690476190476191,D72,classification
|
| 787 |
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PyTorchNN,0.875,0.8824430199430199,0.875,0.8749512808702122,D72,classification
|
| 788 |
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RandomForest,0.8283007696862048,0.8055642622071933,0.8283007696862048,0.803995515646146,D73,classification
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| 789 |
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KNN,0.7716104203670812,0.758365492761999,0.7716104203670812,0.7640615849246891,D73,classification
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| 790 |
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DecisionTree,0.7661338069863824,0.7652045381035061,0.7661338069863824,0.7656519875640917,D73,classification
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| 791 |
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SVM,0.8442125518058022,0.8259213729452218,0.8442125518058022,0.8249863458832059,D73,classification
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| 792 |
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LogisticRegression,0.7581409117821196,0.7201755821157155,0.7581409117821196,0.7177187238854332,D73,classification
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| 793 |
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PyTorchNN,0.8559798697454115,0.8558090943768047,0.8559798697454115,0.8558886952722051,D73,classification
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| 794 |
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RandomForest,0.6111111111111112,0.6547619047619047,0.6111111111111112,0.632183908045977,D74,classification
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| 795 |
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KNN,0.5,0.6875,0.5,0.5636363636363636,D74,classification
|
| 796 |
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DecisionTree,0.8333333333333334,0.6944444444444444,0.8333333333333334,0.7575757575757576,D74,classification
|
| 797 |
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SVM,0.8333333333333334,0.6944444444444444,0.8333333333333334,0.7575757575757576,D74,classification
|
| 798 |
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LogisticRegression,0.5,0.625,0.5,0.5555555555555556,D74,classification
|
| 799 |
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PyTorchNN,0.8333333333333334,0.6944444444444444,0.8333333333333334,0.7575757575757576,D74,classification
|
| 800 |
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RandomForest,0.9928,0.9928003905218651,0.9928,0.9927998373380349,D76,classification
|
| 801 |
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KNN,0.9871,0.9871029567307693,0.9871,0.9870992539191217,D76,classification
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| 802 |
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DecisionTree,0.9925,0.9925091606530597,0.9925,0.992499321026332,D76,classification
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SVM,0.5185,0.26884224999999995,0.5185,0.35408923279552185,D76,classification
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| 804 |
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LogisticRegression,0.9908,0.9908096910445809,0.9908,0.9907991286954216,D76,classification
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PyTorchNN,0.5185,0.26884224999999995,0.5185,0.35408923279552185,D76,classification
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| 806 |
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RandomForest,0.5368421052631579,0.5639667459029777,0.5368421052631579,0.51762528388339,D77,classification
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KNN,0.1,0.18364769544735587,0.1,0.08661966612154581,D77,classification
|
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DecisionTree,0.3,0.3419597353111285,0.3,0.2987355393421512,D77,classification
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SVM,0.11052631578947368,0.023037857802400738,0.11052631578947368,0.038104968898406914,D77,classification
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| 810 |
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LogisticRegression,0.05789473684210526,0.003405572755417957,0.05789473684210526,0.006432748538011695,D77,classification
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| 811 |
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PyTorchNN,0.14210526315789473,0.020193905817174517,0.14210526315789473,0.035362600048508365,D77,classification
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| 812 |
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RandomForest,1.0,1.0,1.0,1.0,D8,classification
|
| 813 |
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KNN,1.0,1.0,1.0,1.0,D8,classification
|
| 814 |
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DecisionTree,1.0,1.0,1.0,1.0,D8,classification
|
| 815 |
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SVM,0.9993846153846154,0.9993853445133066,0.9993846153846154,0.9993846009147576,D8,classification
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| 816 |
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LogisticRegression,1.0,1.0,1.0,1.0,D8,classification
|
| 817 |
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PyTorchNN,1.0,1.0,1.0,1.0,D8,classification
|
| 818 |
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RandomForest,0.999,0.9990010303967027,0.999,0.9989919243986254,D81,classification
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| 819 |
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KNN,0.969,0.9505379736271072,0.969,0.9551815294715448,D81,classification
|
| 820 |
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DecisionTree,0.99,0.9918618095373166,0.99,0.9905589954893087,D81,classification
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SVM,0.9695,0.93993025,0.9695,0.9544861640010155,D81,classification
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LogisticRegression,0.976,0.97194226641983,0.976,0.9721790752525477,D81,classification
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PyTorchNN,0.9695,0.93993025,0.9695,0.9544861640010155,D81,classification
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RandomForest,0.9424083769633508,0.9422924310508308,0.9424083769633508,0.9420931039440814,D82,classification
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KNN,0.7958115183246073,0.7952608037686572,0.7958115183246073,0.7862089074293372,D82,classification
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DecisionTree,0.9528795811518325,0.9534556413972604,0.9528795811518325,0.9524320115270835,D82,classification
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SVM,0.6544502617801047,0.7744833287406999,0.6544502617801047,0.5230727432867969,D82,classification
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LogisticRegression,0.9057591623036649,0.9075550876096233,0.9057591623036649,0.9037855013491592,D82,classification
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PyTorchNN,0.8795811518324608,0.8806628992492868,0.8795811518324608,0.8767537261982415,D82,classification
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RandomForest,0.9037821104144843,0.8707531128980779,0.9037821104144843,0.8814018025373329,D87,classification
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KNN,0.9061742678903673,0.8680861106051424,0.9061742678903673,0.8789522195489335,D87,classification
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DecisionTree,0.8615206616738849,0.8670339361052197,0.8615206616738849,0.8642213230469971,D87,classification
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SVM,0.9125689895089042,0.8327821606133025,0.9125689895089042,0.8708518910234325,D87,classification
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LogisticRegression,0.913788520771119,0.8863906992604359,0.913788520771119,0.8851334315966716,D87,classification
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| 835 |
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PyTorchNN,0.9136478056254789,0.8914142967315961,0.9136478056254789,0.8757931182935547,D87,classification
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| 836 |
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RandomForest,0.9638612193830903,0.9641600798836274,0.9638612193830903,0.9637810148544723,D88,classification
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KNN,0.600163610990809,0.5942599261154692,0.600163610990809,0.5936647493149524,D88,classification
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DecisionTree,0.9459121312737597,0.9459256079053101,0.9459121312737597,0.9459181498782786,D88,classification
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SVM,0.6476107983253934,0.6614447812839972,0.6476107983253934,0.6163231120614133,D88,classification
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| 840 |
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LogisticRegression,0.7037197439969203,0.7079946407017644,0.7037197439969203,0.7047564829285737,D88,classification
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| 841 |
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PyTorchNN,0.5636398633367018,0.3176898955422159,0.5636398633367018,0.4063466313327253,D88,classification
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| 842 |
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RandomForest,0.9447236180904522,0.9448050790935427,0.9447236180904522,0.9447404292160553,D89,classification
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| 843 |
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KNN,0.949748743718593,0.9506081041959341,0.949748743718593,0.9497945191544768,D89,classification
|
| 844 |
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DecisionTree,0.9447236180904522,0.9452374127921159,0.9447236180904522,0.9447655990898519,D89,classification
|
| 845 |
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SVM,0.9296482412060302,0.9296482412060302,0.9296482412060302,0.9296482412060302,D89,classification
|
| 846 |
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LogisticRegression,0.9296482412060302,0.9305279175338995,0.9296482412060302,0.9297123268162675,D89,classification
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| 847 |
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PyTorchNN,0.7638190954773869,0.8354889200098855,0.7638190954773869,0.7550029484853304,D89,classification
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RandomForest,1.0,1.0,1.0,1.0,D9,classification
|
| 849 |
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KNN,1.0,1.0,1.0,1.0,D9,classification
|
| 850 |
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DecisionTree,0.9875,1.0,0.9875,0.9936893203883497,D9,classification
|
| 851 |
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SVM,1.0,1.0,1.0,1.0,D9,classification
|
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LogisticRegression,1.0,1.0,1.0,1.0,D9,classification
|
| 853 |
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PyTorchNN,1.0,1.0,1.0,1.0,D9,classification
|
| 854 |
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RandomForest,0.9933333333333333,0.9934027777777779,0.9933333333333333,0.9933202043005588,D91,classification
|
| 855 |
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KNN,0.9866666666666667,0.9869415807560138,0.9866666666666667,0.9866126543209877,D91,classification
|
| 856 |
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DecisionTree,0.99,0.9900043229742064,0.99,0.9899902923093516,D91,classification
|
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SVM,0.6333333333333333,0.4011111111111111,0.6333333333333333,0.49115646258503404,D91,classification
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LogisticRegression,0.99,0.9901554404145076,0.99,0.9899700400668985,D91,classification
|
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PyTorchNN,0.6333333333333333,0.4011111111111111,0.6333333333333333,0.49115646258503404,D91,classification
|
| 860 |
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RandomForest,0.7,0.7022222222222221,0.7,0.7003337041156841,D92,classification
|
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KNN,0.5666666666666667,0.5650075414781297,0.5666666666666667,0.5652076318742985,D92,classification
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DecisionTree,0.7166666666666667,0.7207267334074897,0.7166666666666667,0.716902843382421,D92,classification
|
| 863 |
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SVM,0.5666666666666667,0.5633333333333332,0.5666666666666667,0.5546296296296295,D92,classification
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| 864 |
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LogisticRegression,0.7333333333333333,0.7355555555555555,0.7333333333333333,0.7336299592139414,D92,classification
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| 865 |
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PyTorchNN,0.5833333333333334,0.5811965811965812,0.5833333333333334,0.574111334674715,D92,classification
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RandomForest,0.9851816783051248,0.9840970859650194,0.9851816783051248,0.983878813284289,D94,classification
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KNN,0.9671203692744703,0.9486430071826653,0.9671203692744703,0.9552420964347,D94,classification
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DecisionTree,0.977890874659723,0.9776129401255937,0.977890874659723,0.9777482985146121,D94,classification
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SVM,0.9693691561131494,0.9396765608235196,0.9693691561131494,0.9542919446124714,D94,classification
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LogisticRegression,0.9684222984968636,0.944969259509582,0.9684222984968636,0.9542671113072652,D94,classification
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PyTorchNN,0.9693691561131494,0.9396765608235196,0.9693691561131494,0.9542919446124714,D94,classification
|
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RandomForest,0.9699,0.9693029692551068,0.9699,0.9677008819758391,D95,classification
|
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KNN,0.95435,0.9520173359558618,0.95435,0.9490049928617648,D95,classification
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DecisionTree,0.9524,0.9532394354727256,0.9524,0.9527959924966323,D95,classification
|
| 875 |
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SVM,0.94675,0.9496797540941261,0.94675,0.9354420664292856,D95,classification
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LogisticRegression,0.95525,0.9522186401022699,0.95525,0.9512613603512482,D95,classification
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PyTorchNN,0.9606,0.9620350844711872,0.9606,0.955181964673826,D95,classification
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RandomForest,0.9995611109160493,0.9995516842152548,0.9995611109160493,0.999534818084207,D96,classification
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KNN,0.9983673326077034,0.9983699984445186,0.9983673326077034,0.9976309216139594,D96,classification
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DecisionTree,0.9991046662687406,0.9991814855789745,0.9991046662687406,0.9991364318752332,D96,classification
|
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SVM,0.9982795547909132,0.996562069513544,0.9982795547909132,0.9974200728063972,D96,classification
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LogisticRegression,0.9986306660580738,0.9985761549376706,0.9986306660580738,0.9986015794516816,D96,classification
|
| 883 |
+
PyTorchNN,0.9982795547909132,0.996562069513544,0.9982795547909132,0.9974200728063972,D96,classification
|
| 884 |
+
RandomForest,0.7270714285714286,0.7276942031988068,0.7270714285714286,0.7269038644922367,D97,classification
|
| 885 |
+
KNN,0.5541428571428572,0.5541506442642705,0.554142857142857,0.5541402365870509,D97,classification
|
| 886 |
+
DecisionTree,0.6365714285714286,0.6366044761909971,0.6365714285714286,0.6365363796499962,D97,classification
|
| 887 |
+
SVM,0.5950714285714286,0.5966253421535301,0.5950714285714286,0.593296084713849,D97,classification
|
| 888 |
+
LogisticRegression,0.6987857142857142,0.6997010418415944,0.6987857142857142,0.6984702558256287,D97,classification
|
| 889 |
+
PyTorchNN,0.49914285714285717,0.2491435918367347,0.49914285714285717,0.3323813880040295,D97,classification
|
| 890 |
+
RandomForest,0.5995381743146311,0.5876912106237494,0.5995381743146311,0.5555544233938269,D98,classification
|
| 891 |
+
KNN,0.48776653237692835,0.4737357979694865,0.48776653237692835,0.47997454255590233,D98,classification
|
| 892 |
+
DecisionTree,0.49150044217352856,0.4960484513647033,0.49150044217352856,0.4937019508812355,D98,classification
|
| 893 |
+
SVM,0.5383217058072124,0.4443061361457295,0.5383217058072124,0.4201681233234041,D98,classification
|
| 894 |
+
LogisticRegression,0.5366021420850938,0.44416412385232173,0.5366021420850938,0.42945379901197583,D98,classification
|
| 895 |
+
PyTorchNN,0.5380760538469097,0.28952583972346246,0.5380760538469097,0.376477923831301,D98,classification
|
| 896 |
+
RandomForest,0.8549528301886793,0.8133281145372022,0.8549528301886793,0.8066046444291837,D99,classification
|
| 897 |
+
KNN,0.8325471698113207,0.7720934936923021,0.8325471698113207,0.7927937326189112,D99,classification
|
| 898 |
+
DecisionTree,0.7523584905660378,0.765002588819346,0.7523584905660378,0.7584793066109604,D99,classification
|
| 899 |
+
SVM,0.8514150943396226,0.728634194210268,0.8514150943396226,0.7852541761807476,D99,classification
|
| 900 |
+
LogisticRegression,0.8561320754716981,0.8195848755679938,0.8561320754716981,0.8020568314408492,D99,classification
|
| 901 |
+
PyTorchNN,0.8502358490566038,0.7845420117179095,0.8502358490566038,0.7929774540232277,D99,classification
|