OpenML
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: 0.8858, f_measure: 0.8913, kappa: 0.7803, kb_relative_information_score: 38.4528, mean_absolute_error: 0.1578, 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: 0.3207, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.6384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.8913, kappa: 0.7803, kb_relative_information_score: 39.9848, mean_absolute_error: 0.1391, 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: 0.2826, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.5931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8359, kappa: 0.6658, kb_relative_information_score: 30.0665, mean_absolute_error: 0.2361, 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: 0.4797, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.7173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.8359, kappa: 0.6658, kb_relative_information_score: 36.5578, mean_absolute_error: 0.1636, 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: 0.3325, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.763, kappa: 0.5172, kb_relative_information_score: 14.084, mean_absolute_error: 0.3722, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.7629, predictive_accuracy: 0.7636, prior_entropy: 0.9891, recall: 0.7636, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4489, root_relative_squared_error: 0.9051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.8909, kappa: 0.7782, kb_relative_information_score: 34.9543, mean_absolute_error: 0.1959, 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: 0.398, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2748, root_relative_squared_error: 0.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.8909, kappa: 0.7782, kb_relative_information_score: 40.7663, mean_absolute_error: 0.1309, 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: 0.266, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.5953,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8468, f_measure: 0.8154, kappa: 0.6233, kb_relative_information_score: 35.2032, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8218, predictive_accuracy: 0.8182, prior_entropy: 0.9891, recall: 0.8182, relative_absolute_error: 0.3677, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3553, root_relative_squared_error: 0.7165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.9095, kappa: 0.8178, kb_relative_information_score: 39.2153, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.9152, predictive_accuracy: 0.9091, prior_entropy: 0.9891, recall: 0.9091, relative_absolute_error: 0.3038, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2721, root_relative_squared_error: 0.5487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.8909, kappa: 0.7782, kb_relative_information_score: 41.6472, mean_absolute_error: 0.121, 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: 0.2459, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.6077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8918, f_measure: 0.8545, kappa: 0.7043, kb_relative_information_score: 36.1389, mean_absolute_error: 0.172, 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: 0.3495, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.8347, kappa: 0.6626, kb_relative_information_score: 36.1665, mean_absolute_error: 0.1682, 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: 0.3418, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.7961,
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: 0.9664, 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: 0.9449, 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: 0.9677, 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: 0.9583, f_measure: 0.8909, kappa: 0.7782, kb_relative_information_score: 41.4464, mean_absolute_error: 0.1225, 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: 0.2488, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.61,
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: 0.9059, 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: 0.9147, f_measure: 0.873, kappa: 0.7425, kb_relative_information_score: 34.4423, mean_absolute_error: 0.1906, 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: 0.3873, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3341, root_relative_squared_error: 0.6737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.8909, kappa: 0.7782, kb_relative_information_score: 36.4134, mean_absolute_error: 0.1746, 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: 0.3548, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.6487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4368, f_measure: 0.4063, kb_relative_information_score: -0.1427, mean_absolute_error: 0.493, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.3177, predictive_accuracy: 0.5636, prior_entropy: 0.9891, recall: 0.5636, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4968, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8724, kappa: 0.74, kb_relative_information_score: 37.6521, mean_absolute_error: 0.1579, 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: 0.3208, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.8545, kappa: 0.7043, kb_relative_information_score: 37.479, mean_absolute_error: 0.1577, 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: 0.3204, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3137, root_relative_squared_error: 0.6326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9335, f_measure: 0.8724, kappa: 0.74, kb_relative_information_score: 37.6521, mean_absolute_error: 0.1579, 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: 0.3208, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.7979, kappa: 0.5876, kb_relative_information_score: 32.3482, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8008, predictive_accuracy: 0.8, prior_entropy: 0.9891, recall: 0.8, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.8909, kappa: 0.7782, kb_relative_information_score: 41.733, mean_absolute_error: 0.1203, 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: 0.2445, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2972, root_relative_squared_error: 0.5994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.871, f_measure: 0.8724, kappa: 0.74, kb_relative_information_score: 35.9852, mean_absolute_error: 0.1744, 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: 0.3544, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3597, root_relative_squared_error: 0.7254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.8909, kappa: 0.7782, kb_relative_information_score: 41.4464, mean_absolute_error: 0.1225, 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: 0.2488, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.61,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.7979, kappa: 0.5876, kb_relative_information_score: 32.3482, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8008, predictive_accuracy: 0.8, prior_entropy: 0.9891, recall: 0.8, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7852,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.873, kappa: 0.7425, kb_relative_information_score: 36.7963, mean_absolute_error: 0.1711, 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: 0.3476, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3071, root_relative_squared_error: 0.6193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.8909, kappa: 0.7782, kb_relative_information_score: 40.7848, mean_absolute_error: 0.1308, 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: 0.2657, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.5931,
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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.9093, kappa: 0.8161, kb_relative_information_score: 44.7347, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.9101, predictive_accuracy: 0.9091, prior_entropy: 0.9891, recall: 0.9091, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.8909, kappa: 0.7782, kb_relative_information_score: 41.4464, mean_absolute_error: 0.1225, 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: 0.2488, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.7805, kappa: 0.5522, kb_relative_information_score: 21.8087, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.7813, predictive_accuracy: 0.7818, prior_entropy: 0.9891, recall: 0.7818, relative_absolute_error: 0.6396, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.8714, kappa: 0.7376, kb_relative_information_score: 40.7686, mean_absolute_error: 0.1303, 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: 0.2647, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2796, root_relative_squared_error: 0.5639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.8523, kappa: 0.6986, kb_relative_information_score: 39.6352, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8597, predictive_accuracy: 0.8545, prior_entropy: 0.9891, recall: 0.8545, relative_absolute_error: 0.2771, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3503, root_relative_squared_error: 0.7064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.8171, kappa: 0.6269, kb_relative_information_score: 34.5136, mean_absolute_error: 0.1818, 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: 0.3694, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.8598, scimark_benchmark: 1631.1992, usercpu_time_millis: 1812.5, usercpu_time_millis_training: 1812.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4063, kb_relative_information_score: 5.8945, mean_absolute_error: 0.4364, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.3177, predictive_accuracy: 0.5636, prior_entropy: 0.9891, recall: 0.5636, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6606, root_relative_squared_error: 1.332, scimark_benchmark: 1697.6783,
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: 1862.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4063, kb_relative_information_score: 5.8945, mean_absolute_error: 0.4364, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.3177, predictive_accuracy: 0.5636, prior_entropy: 0.9891, recall: 0.5636, relative_absolute_error: 0.8866, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6606, root_relative_squared_error: 1.332, scimark_benchmark: 1656.6393,
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: 1382.9613, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.8171, kappa: 0.6269, kb_relative_information_score: 34.5136, mean_absolute_error: 0.1818, 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: 0.3694, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4264, root_relative_squared_error: 0.8598, scimark_benchmark: 1394.1301, usercpu_time_millis: 340, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.8359, kappa: 0.6658, kb_relative_information_score: 32.9391, mean_absolute_error: 0.2066, 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: 0.4197, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.387, root_relative_squared_error: 0.7803, scimark_benchmark: 1908.2191, usercpu_time_millis: 187.5, usercpu_time_millis_training: 187.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8359, kappa: 0.6658, kb_relative_information_score: 36.2824, mean_absolute_error: 0.1664, 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: 0.3382, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3858, root_relative_squared_error: 0.778, scimark_benchmark: 1908.2191, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.8359, kappa: 0.6658, kb_relative_information_score: 36.5578, mean_absolute_error: 0.1636, 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: 0.3325, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8157, scimark_benchmark: 1827.4462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.8182, kappa: 0.6304, kb_relative_information_score: 32.7876, mean_absolute_error: 0.1985, 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: 0.4032, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7549, scimark_benchmark: 1384.1219, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9355, f_measure: 0.8182, kappa: 0.6304, kb_relative_information_score: 35.5734, mean_absolute_error: 0.1717, 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: 0.3489, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7285, scimark_benchmark: 1588.3237, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.8909, kappa: 0.7782, kb_relative_information_score: 41.4464, mean_absolute_error: 0.1225, 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: 0.2488, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.61, scimark_benchmark: 1536.8373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8182, kappa: 0.6304, kb_relative_information_score: 31.0849, mean_absolute_error: 0.2229, 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: 0.4528, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7674, scimark_benchmark: 1271.6811, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
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: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.8359, kappa: 0.6658, kb_relative_information_score: 36.5578, mean_absolute_error: 0.1636, 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: 0.3325, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8157, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.8537, kappa: 0.7015, kb_relative_information_score: 36.5387, mean_absolute_error: 0.166, 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: 0.3372, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.7366, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.8523, kappa: 0.6986, kb_relative_information_score: 36.6736, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8597, predictive_accuracy: 0.8545, prior_entropy: 0.9891, recall: 0.8545, relative_absolute_error: 0.3365, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7678, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8545, kappa: 0.7043, kb_relative_information_score: 38.56, mean_absolute_error: 0.146, 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: 0.2966, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7419, scimark_benchmark: 1744.8652,
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: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.8171, kappa: 0.6269, kb_relative_information_score: 34.1567, mean_absolute_error: 0.1924, 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: 0.3908, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.7404, scimark_benchmark: 1744.8652,
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: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.8909, kappa: 0.7782, kb_relative_information_score: 41.6472, mean_absolute_error: 0.121, 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: 0.2459, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.6077, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.7979, kappa: 0.5876, kb_relative_information_score: 32.3482, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8008, predictive_accuracy: 0.8, prior_entropy: 0.9891, recall: 0.8, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7852, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.8909, kappa: 0.7782, kb_relative_information_score: 41.4464, mean_absolute_error: 0.1225, 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: 0.2488, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3025, root_relative_squared_error: 0.61, scimark_benchmark: 1744.8652,
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: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.8359, kappa: 0.6658, kb_relative_information_score: 36.5578, mean_absolute_error: 0.1636, 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: 0.3325, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8157, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8182, kappa: 0.6304, kb_relative_information_score: 31.0856, mean_absolute_error: 0.2229, 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: 0.4528, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.7673, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.8537, kappa: 0.7015, kb_relative_information_score: 36.5387, mean_absolute_error: 0.166, 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: 0.3372, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.7366, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.8523, kappa: 0.6986, kb_relative_information_score: 36.6736, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8597, predictive_accuracy: 0.8545, prior_entropy: 0.9891, recall: 0.8545, relative_absolute_error: 0.3365, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.7678, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8545, kappa: 0.7043, kb_relative_information_score: 38.56, mean_absolute_error: 0.146, 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: 0.2966, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7419, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.873, kappa: 0.7425, kb_relative_information_score: 36.715, mean_absolute_error: 0.1726, 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: 0.3507, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3412, root_relative_squared_error: 0.6879, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.8171, kappa: 0.6269, kb_relative_information_score: 34.1567, mean_absolute_error: 0.1924, 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: 0.3908, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.7404, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9449, f_measure: 0.8347, kappa: 0.6626, kb_relative_information_score: 35.3981, mean_absolute_error: 0.177, 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: 0.3596, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.679, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.8909, kappa: 0.7782, kb_relative_information_score: 41.6472, mean_absolute_error: 0.121, 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: 0.2459, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.6077, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.7979, kappa: 0.5876, kb_relative_information_score: 32.3482, mean_absolute_error: 0.2062, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.8008, predictive_accuracy: 0.8, prior_entropy: 0.9891, recall: 0.8, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.7852, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.8537, kappa: 0.7015, kb_relative_information_score: 36.5387, mean_absolute_error: 0.166, 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: 0.3372, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.7366, scimark_benchmark: 1327.5254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8545, kappa: 0.7043, kb_relative_information_score: 38.56, mean_absolute_error: 0.146, 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: 0.2966, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7419, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8182, kappa: 0.6304, kb_relative_information_score: 31.0849, mean_absolute_error: 0.2229, 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: 0.4528, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3806, root_relative_squared_error: 0.7674, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.873, kappa: 0.7425, kb_relative_information_score: 41.6109, mean_absolute_error: 0.1189, 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: 0.2415, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6502, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8858, f_measure: 0.8913, kappa: 0.7803, kb_relative_information_score: 38.4528, mean_absolute_error: 0.1578, 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: 0.3207, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3166, root_relative_squared_error: 0.6384, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.873, kappa: 0.7425, kb_relative_information_score: 38.0454, mean_absolute_error: 0.1614, 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: 0.3279, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2927, root_relative_squared_error: 0.5902, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.8909, kappa: 0.7782, kb_relative_information_score: 40.4503, mean_absolute_error: 0.1346, 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: 0.2735, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2781, root_relative_squared_error: 0.5608, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.9093, kappa: 0.8161, kb_relative_information_score: 44.7347, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.9101, predictive_accuracy: 0.9091, prior_entropy: 0.9891, recall: 0.9091, relative_absolute_error: 0.1847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.608, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
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: 1234.3073, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.8537, kappa: 0.7015, kb_relative_information_score: 36.5387, mean_absolute_error: 0.166, 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: 0.3372, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.7366, scimark_benchmark: 1036.1396, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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,
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: 0.9449, 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: 0.9556, 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: 0.9335, 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: 0.9348, f_measure: 0.8724, kappa: 0.74, kb_relative_information_score: 37.6555, mean_absolute_error: 0.1578, 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: 0.3207, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.31, root_relative_squared_error: 0.6251, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8724, kappa: 0.74, kb_relative_information_score: 40.6462, mean_absolute_error: 0.1273, 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: 0.2586, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3568, root_relative_squared_error: 0.7193, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8313, f_measure: 0.8359, kappa: 0.6658, kb_relative_information_score: 36.5578, mean_absolute_error: 0.1636, 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: 0.3325, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8157, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.9095, kappa: 0.8178, kb_relative_information_score: 40.2126, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.4922, number_of_instances: 55, precision: 0.9152, predictive_accuracy: 0.9091, prior_entropy: 0.9891, recall: 0.9091, relative_absolute_error: 0.2908, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2819, root_relative_squared_error: 0.5683, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.8171, kappa: 0.6269, kb_relative_information_score: 34.1567, mean_absolute_error: 0.1924, 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: 0.3908, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.7404, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.8909, kappa: 0.7782, kb_relative_information_score: 41.8592, mean_absolute_error: 0.12, 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: 0.2437, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.2763, root_relative_squared_error: 0.5572, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.8909, kappa: 0.7782, kb_relative_information_score: 41.6472, mean_absolute_error: 0.121, 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: 0.2459, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3014, root_relative_squared_error: 0.6077, scimark_benchmark: 1732.2066,

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

OpenML bootcamp

From your own software

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

OpenML APIs