Task
Supervised Classification on elusage

Supervised Classification on elusage

Task 3655 Supervised Classification elusage 524 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8545, kappa: 0.7043, kb_relative_information_score: 33.8549, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8545, predictive_accuracy: 0.8545, prior_entropy: 0.9891, recall: 0.8545, relative_absolute_error: 0.4013, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.6825, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8913, kappa: 0.7803, kb_relative_information_score: 39.7995, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.894, predictive_accuracy: 0.8909, prior_entropy: 0.9891, recall: 0.8909, relative_absolute_error: 0.287, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3146, root_relative_squared_error: 0.6344, scimark_benchmark: 1292.514, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.8545, kappa: 0.7043, kb_relative_information_score: 38.602, mean_absolute_error: 0.1455, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8545, predictive_accuracy: 0.8545, prior_entropy: 0.9891, recall: 0.8545, relative_absolute_error: 0.2955, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.769, scimark_benchmark: 1329.8008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.8171, kappa: 0.6269, kb_relative_information_score: 33.474, mean_absolute_error: 0.1983, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8182, predictive_accuracy: 0.8182, prior_entropy: 0.9891, recall: 0.8182, relative_absolute_error: 0.4029, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7587, scimark_benchmark: 1330.8256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.8347, kappa: 0.6626, kb_relative_information_score: 35.5136, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8382, predictive_accuracy: 0.8364, prior_entropy: 0.9891, recall: 0.8364, relative_absolute_error: 0.3575, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6751, scimark_benchmark: 1339.6197, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.8367, kappa: 0.6689, kb_relative_information_score: 35.9171, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8376, predictive_accuracy: 0.8364, prior_entropy: 0.9891, recall: 0.8364, relative_absolute_error: 0.3583, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.6234, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.873, kappa: 0.7425, kb_relative_information_score: 36.0597, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8738, predictive_accuracy: 0.8727, prior_entropy: 0.9891, recall: 0.8727, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.7, scimark_benchmark: 1331.2559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8545, kappa: 0.7043, kb_relative_information_score: 33.8549, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8545, predictive_accuracy: 0.8545, prior_entropy: 0.9891, recall: 0.8545, relative_absolute_error: 0.4013, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.6825, scimark_benchmark: 1337.4384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8537, kappa: 0.7015, kb_relative_information_score: 38.6238, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8551, predictive_accuracy: 0.8545, prior_entropy: 0.9891, recall: 0.8545, relative_absolute_error: 0.3068, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5863, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.873, kappa: 0.7425, kb_relative_information_score: 36.0597, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8738, predictive_accuracy: 0.8727, prior_entropy: 0.9891, recall: 0.8727, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.7, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.8347, kappa: 0.6626, kb_relative_information_score: 35.5136, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8382, predictive_accuracy: 0.8364, prior_entropy: 0.9891, recall: 0.8364, relative_absolute_error: 0.3575, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6751, scimark_benchmark: 1322.7257, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.873, kappa: 0.7425, kb_relative_information_score: 36.0597, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8738, predictive_accuracy: 0.8727, prior_entropy: 0.9891, recall: 0.8727, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.7, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.873, kappa: 0.7425, kb_relative_information_score: 40.3019, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8738, predictive_accuracy: 0.8727, prior_entropy: 0.9891, recall: 0.8727, relative_absolute_error: 0.2709, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6483, scimark_benchmark: 1322.7257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.873, kappa: 0.7425, kb_relative_information_score: 36.0597, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8738, predictive_accuracy: 0.8727, prior_entropy: 0.9891, recall: 0.8727, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.7, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.8171, kappa: 0.6269, kb_relative_information_score: 33.474, mean_absolute_error: 0.1983, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8182, predictive_accuracy: 0.8182, prior_entropy: 0.9891, recall: 0.8182, relative_absolute_error: 0.4029, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7587, scimark_benchmark: 1385.8862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.873, kappa: 0.7425, kb_relative_information_score: 36.0597, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8738, predictive_accuracy: 0.8727, prior_entropy: 0.9891, recall: 0.8727, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.7, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.873, kappa: 0.7425, kb_relative_information_score: 36.0597, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8738, predictive_accuracy: 0.8727, prior_entropy: 0.9891, recall: 0.8727, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.7, scimark_benchmark: 1332.7986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.873, kappa: 0.7425, kb_relative_information_score: 40.3019, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8738, predictive_accuracy: 0.8727, prior_entropy: 0.9891, recall: 0.8727, relative_absolute_error: 0.2709, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6483, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.873, kappa: 0.7425, kb_relative_information_score: 36.0597, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8738, predictive_accuracy: 0.8727, prior_entropy: 0.9891, recall: 0.8727, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.7, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.8545, kappa: 0.7043, kb_relative_information_score: 33.8549, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8545, predictive_accuracy: 0.8545, prior_entropy: 0.9891, recall: 0.8545, relative_absolute_error: 0.4013, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3385, root_relative_squared_error: 0.6825, scimark_benchmark: 1393.8432, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.873, kappa: 0.7425, kb_relative_information_score: 36.0597, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8738, predictive_accuracy: 0.8727, prior_entropy: 0.9891, recall: 0.8727, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.7, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.873, kappa: 0.7425, kb_relative_information_score: 36.0597, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8738, predictive_accuracy: 0.8727, prior_entropy: 0.9891, recall: 0.8727, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.7, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.873, kappa: 0.7425, kb_relative_information_score: 36.0597, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8738, predictive_accuracy: 0.8727, prior_entropy: 0.9891, recall: 0.8727, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.7, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.873, kappa: 0.7425, kb_relative_information_score: 36.0597, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8738, predictive_accuracy: 0.8727, prior_entropy: 0.9891, recall: 0.8727, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.7, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.873, kappa: 0.7425, kb_relative_information_score: 40.3019, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8738, predictive_accuracy: 0.8727, prior_entropy: 0.9891, recall: 0.8727, relative_absolute_error: 0.2709, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6483, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8537, kappa: 0.7015, kb_relative_information_score: 38.6238, mean_absolute_error: 0.151, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8551, predictive_accuracy: 0.8545, prior_entropy: 0.9891, recall: 0.8545, relative_absolute_error: 0.3068, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.5863, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.873, kappa: 0.7425, kb_relative_information_score: 36.0597, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8738, predictive_accuracy: 0.8727, prior_entropy: 0.9891, recall: 0.8727, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.7, scimark_benchmark: 908.2231,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.873, kappa: 0.7425, kb_relative_information_score: 36.0597, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8738, predictive_accuracy: 0.8727, prior_entropy: 0.9891, recall: 0.8727, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.7, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8537, kappa: 0.7015, kb_relative_information_score: 39.6144, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8551, predictive_accuracy: 0.8545, prior_entropy: 0.9891, recall: 0.8545, relative_absolute_error: 0.2774, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.338, root_relative_squared_error: 0.6816, scimark_benchmark: 1286.2211,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.8347, kappa: 0.6626, kb_relative_information_score: 35.5136, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8382, predictive_accuracy: 0.8364, prior_entropy: 0.9891, recall: 0.8364, relative_absolute_error: 0.3575, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3348, root_relative_squared_error: 0.6751, scimark_benchmark: 1350.2591,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.8724, kappa: 0.74, kb_relative_information_score: 38.5305, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8726, predictive_accuracy: 0.8727, prior_entropy: 0.9891, recall: 0.8727, relative_absolute_error: 0.3124, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2769, root_relative_squared_error: 0.5584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.8909, kappa: 0.7782, kb_relative_information_score: 41.6649, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8909, predictive_accuracy: 0.8909, prior_entropy: 0.9891, recall: 0.8909, relative_absolute_error: 0.246, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.276, root_relative_squared_error: 0.5565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8724, kappa: 0.74, kb_relative_information_score: 37.4532, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8726, predictive_accuracy: 0.8727, prior_entropy: 0.9891, recall: 0.8727, relative_absolute_error: 0.3232, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3117, root_relative_squared_error: 0.6285, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.8909, kappa: 0.7782, kb_relative_information_score: 38.9993, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8909, predictive_accuracy: 0.8909, prior_entropy: 0.9891, recall: 0.8909, relative_absolute_error: 0.3029, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.5778, scimark_benchmark: 1873.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8724, kappa: 0.74, kb_relative_information_score: 38.5793, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8726, predictive_accuracy: 0.8727, prior_entropy: 0.9891, recall: 0.8727, relative_absolute_error: 0.3033, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.873, kappa: 0.7425, kb_relative_information_score: 37.2321, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8738, predictive_accuracy: 0.8727, prior_entropy: 0.9891, recall: 0.8727, relative_absolute_error: 0.3293, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.6157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.8714, kappa: 0.7376, kb_relative_information_score: 41.4774, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8756, predictive_accuracy: 0.8727, prior_entropy: 0.9891, recall: 0.8727, relative_absolute_error: 0.2506, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.5527, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8307, kappa: 0.656, kb_relative_information_score: 34.9075, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8557, predictive_accuracy: 0.8364, prior_entropy: 0.9891, recall: 0.8364, relative_absolute_error: 0.3724, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3344, root_relative_squared_error: 0.6743, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.8359, kappa: 0.6658, kb_relative_information_score: 37.1045, mean_absolute_error: 0.1618, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.836, predictive_accuracy: 0.8364, prior_entropy: 0.9891, recall: 0.8364, relative_absolute_error: 0.3288, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.6851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.8724, kappa: 0.74, kb_relative_information_score: 36.0906, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8726, predictive_accuracy: 0.8727, prior_entropy: 0.9891, recall: 0.8727, relative_absolute_error: 0.3482, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.6602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.873, kappa: 0.7425, kb_relative_information_score: 36.0597, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8738, predictive_accuracy: 0.8727, prior_entropy: 0.9891, recall: 0.8727, relative_absolute_error: 0.3501, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3471, root_relative_squared_error: 0.7, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.873, kappa: 0.7425, kb_relative_information_score: 40.3019, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8738, predictive_accuracy: 0.8727, prior_entropy: 0.9891, recall: 0.8727, relative_absolute_error: 0.2709, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3215, root_relative_squared_error: 0.6483, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.8545, kappa: 0.7043, kb_relative_information_score: 38.602, mean_absolute_error: 0.1455, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8545, predictive_accuracy: 0.8545, prior_entropy: 0.9891, recall: 0.8545, relative_absolute_error: 0.2955, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3814, root_relative_squared_error: 0.769, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.8909, kappa: 0.7782, kb_relative_information_score: 38.913, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8909, predictive_accuracy: 0.8909, prior_entropy: 0.9891, recall: 0.8909, relative_absolute_error: 0.3029, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.5814, scimark_benchmark: 1447.2612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8743, f_measure: 0.873, kappa: 0.7425, kb_relative_information_score: 37.0048, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8738, predictive_accuracy: 0.8727, prior_entropy: 0.9891, recall: 0.8727, relative_absolute_error: 0.344, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6901, scimark_benchmark: 979.1517,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs