OpenML
Supervised Classification on mfeat-karhunen

Supervised Classification on mfeat-karhunen

Task 16 Supervised Classification mfeat-karhunen 24479 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6396, kappa: 0.0972, kb_relative_information_score: 0.1665, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.18, weighted_recall: 0.1875, number_of_instances: 2000, predictive_accuracy: 0.1875, prior_entropy: 3.3219, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.964, unweighted_recall: 0.1875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6396, kappa: 0.0972, kb_relative_information_score: 0.1665, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.18, weighted_recall: 0.1875, number_of_instances: 2000, predictive_accuracy: 0.1875, prior_entropy: 3.3219, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.964, unweighted_recall: 0.1875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6396, kappa: 0.0972, kb_relative_information_score: 0.1665, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.18, weighted_recall: 0.1875, number_of_instances: 2000, predictive_accuracy: 0.1875, prior_entropy: 3.3219, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.964, unweighted_recall: 0.1875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6396, kappa: 0.0972, kb_relative_information_score: 0.1665, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.18, weighted_recall: 0.1875, number_of_instances: 2000, predictive_accuracy: 0.1875, prior_entropy: 3.3219, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.964, unweighted_recall: 0.1875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6396, kappa: 0.0972, kb_relative_information_score: 0.1665, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.18, weighted_recall: 0.1875, number_of_instances: 2000, predictive_accuracy: 0.1875, prior_entropy: 3.3219, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.964, unweighted_recall: 0.1875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6396, kappa: 0.0972, kb_relative_information_score: 0.1665, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.18, weighted_recall: 0.1875, number_of_instances: 2000, predictive_accuracy: 0.1875, prior_entropy: 3.3219, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.964, unweighted_recall: 0.1875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.8774, kappa: 0.8656, kb_relative_information_score: 0.2906, mean_absolute_error: 0.1601, mean_prior_absolute_error: 0.18, weighted_recall: 0.879, number_of_instances: 2000, precision: 0.8827, predictive_accuracy: 0.879, prior_entropy: 3.3219, relative_absolute_error: 0.8892, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.8952, unweighted_recall: 0.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6396, kappa: 0.0972, kb_relative_information_score: 0.1665, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.18, weighted_recall: 0.1875, number_of_instances: 2000, predictive_accuracy: 0.1875, prior_entropy: 3.3219, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.964, unweighted_recall: 0.1875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6396, kappa: 0.0972, kb_relative_information_score: 0.1665, mean_absolute_error: 0.1671, mean_prior_absolute_error: 0.18, weighted_recall: 0.1875, number_of_instances: 2000, predictive_accuracy: 0.1875, prior_entropy: 3.3219, relative_absolute_error: 0.9285, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2892, root_relative_squared_error: 0.964, unweighted_recall: 0.1875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.9131, kappa: 0.9033, kb_relative_information_score: 0.909, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.18, weighted_recall: 0.913, number_of_instances: 2000, precision: 0.9143, predictive_accuracy: 0.913, prior_entropy: 3.3219, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1319, root_relative_squared_error: 0.4397, unweighted_recall: 0.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9695, kappa: 0.9661, kb_relative_information_score: 0.9678, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.18, weighted_recall: 0.9695, number_of_instances: 2000, precision: 0.9697, predictive_accuracy: 0.9695, prior_entropy: 3.3219, relative_absolute_error: 0.0454, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0675, root_relative_squared_error: 0.225, unweighted_recall: 0.9695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9725, kappa: 0.9694, kb_relative_information_score: 0.9732, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, weighted_recall: 0.9725, number_of_instances: 2000, precision: 0.9729, predictive_accuracy: 0.9725, prior_entropy: 3.3219, relative_absolute_error: 0.042, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0612, root_relative_squared_error: 0.204, unweighted_recall: 0.9725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9279, kappa: 0.92, kb_relative_information_score: 0.9247, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.18, weighted_recall: 0.928, number_of_instances: 2000, precision: 0.9289, predictive_accuracy: 0.928, prior_entropy: 3.3219, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.12, root_relative_squared_error: 0.4, unweighted_recall: 0.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9319, kappa: 0.9244, kb_relative_information_score: 0.9289, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.18, weighted_recall: 0.932, number_of_instances: 2000, precision: 0.9323, predictive_accuracy: 0.932, prior_entropy: 3.3219, relative_absolute_error: 0.0756, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1166, root_relative_squared_error: 0.3887, unweighted_recall: 0.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.956, kappa: 0.9511, kb_relative_information_score: 0.9541, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.18, weighted_recall: 0.956, number_of_instances: 2000, precision: 0.9561, predictive_accuracy: 0.956, prior_entropy: 3.3219, relative_absolute_error: 0.0606, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.2814, unweighted_recall: 0.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9655, kappa: 0.9617, kb_relative_information_score: 0.7808, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.18, weighted_recall: 0.9655, number_of_instances: 2000, precision: 0.9657, predictive_accuracy: 0.9655, prior_entropy: 3.3219, relative_absolute_error: 0.3986, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.4681, unweighted_recall: 0.9655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.8967, kappa: 0.8856, kb_relative_information_score: 0.8476, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.18, weighted_recall: 0.897, number_of_instances: 2000, precision: 0.8971, predictive_accuracy: 0.897, prior_entropy: 3.3219, relative_absolute_error: 0.2455, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.4391, unweighted_recall: 0.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.2952, kappa: 0.2578, kb_relative_information_score: 0.1477, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.18, weighted_recall: 0.332, number_of_instances: 2000, precision: 0.3184, predictive_accuracy: 0.332, prior_entropy: 3.3219, relative_absolute_error: 0.915, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.9654, unweighted_recall: 0.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8235, kappa: 0.8039, kb_relative_information_score: 0.8154, mean_absolute_error: 0.0353, mean_prior_absolute_error: 0.18, weighted_recall: 0.8235, number_of_instances: 2000, precision: 0.824, predictive_accuracy: 0.8235, prior_entropy: 3.3219, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.6263, unweighted_recall: 0.8235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.9131, kappa: 0.9033, kb_relative_information_score: 0.909, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.18, weighted_recall: 0.913, number_of_instances: 2000, precision: 0.9143, predictive_accuracy: 0.913, prior_entropy: 3.3219, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1319, root_relative_squared_error: 0.4397, unweighted_recall: 0.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.97, kappa: 0.9667, kb_relative_information_score: 0.9661, mean_absolute_error: 0.0085, mean_prior_absolute_error: 0.18, weighted_recall: 0.97, number_of_instances: 2000, precision: 0.9702, predictive_accuracy: 0.97, prior_entropy: 3.3219, relative_absolute_error: 0.047, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0689, root_relative_squared_error: 0.2296, unweighted_recall: 0.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9725, kappa: 0.9694, kb_relative_information_score: 0.9732, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.18, weighted_recall: 0.9725, number_of_instances: 2000, precision: 0.9729, predictive_accuracy: 0.9725, prior_entropy: 3.3219, relative_absolute_error: 0.042, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0612, root_relative_squared_error: 0.204, unweighted_recall: 0.9725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.9279, kappa: 0.92, kb_relative_information_score: 0.9247, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.18, weighted_recall: 0.928, number_of_instances: 2000, precision: 0.9289, predictive_accuracy: 0.928, prior_entropy: 3.3219, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.12, root_relative_squared_error: 0.4, unweighted_recall: 0.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9319, kappa: 0.9244, kb_relative_information_score: 0.9289, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.18, weighted_recall: 0.932, number_of_instances: 2000, precision: 0.9323, predictive_accuracy: 0.932, prior_entropy: 3.3219, relative_absolute_error: 0.0756, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1166, root_relative_squared_error: 0.3887, unweighted_recall: 0.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.956, kappa: 0.9511, kb_relative_information_score: 0.9541, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.18, weighted_recall: 0.956, number_of_instances: 2000, precision: 0.9561, predictive_accuracy: 0.956, prior_entropy: 3.3219, relative_absolute_error: 0.0606, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.2814, unweighted_recall: 0.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9675, kappa: 0.9639, kb_relative_information_score: 0.7811, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.18, weighted_recall: 0.9675, number_of_instances: 2000, precision: 0.9677, predictive_accuracy: 0.9675, prior_entropy: 3.3219, relative_absolute_error: 0.3985, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1405, root_relative_squared_error: 0.4683, unweighted_recall: 0.9675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.8918, kappa: 0.88, kb_relative_information_score: 0.849, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.18, weighted_recall: 0.892, number_of_instances: 2000, precision: 0.8923, predictive_accuracy: 0.892, prior_entropy: 3.3219, relative_absolute_error: 0.2397, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.4385, unweighted_recall: 0.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.2955, kappa: 0.2583, kb_relative_information_score: 0.1477, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.18, weighted_recall: 0.3325, number_of_instances: 2000, precision: 0.3193, predictive_accuracy: 0.3325, prior_entropy: 3.3219, relative_absolute_error: 0.915, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.9654, unweighted_recall: 0.3325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9028, f_measure: 0.8249, kappa: 0.8056, kb_relative_information_score: 0.817, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.18, weighted_recall: 0.825, number_of_instances: 2000, precision: 0.8253, predictive_accuracy: 0.825, prior_entropy: 3.3219, relative_absolute_error: 0.1944, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.6236, unweighted_recall: 0.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9025, f_measure: 0.8248, kappa: 0.805, kb_relative_information_score: 0.8165, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.18, weighted_recall: 0.8245, number_of_instances: 2000, precision: 0.8262, predictive_accuracy: 0.8245, prior_entropy: 3.3219, relative_absolute_error: 0.195, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.6245, unweighted_recall: 0.8245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8177, kappa: 0.7972, kb_relative_information_score: 0.8091, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.18, weighted_recall: 0.8175, number_of_instances: 2000, precision: 0.819, predictive_accuracy: 0.8175, prior_entropy: 3.3219, relative_absolute_error: 0.2028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.191, root_relative_squared_error: 0.6368, unweighted_recall: 0.8175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, f_measure: 0.8164, kappa: 0.7961, kb_relative_information_score: 0.8081, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.18, weighted_recall: 0.8165, number_of_instances: 2000, precision: 0.8169, predictive_accuracy: 0.8165, prior_entropy: 3.3219, relative_absolute_error: 0.2039, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.6386, unweighted_recall: 0.8165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.8159, kappa: 0.7956, kb_relative_information_score: 0.8076, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.18, weighted_recall: 0.816, number_of_instances: 2000, precision: 0.8162, predictive_accuracy: 0.816, prior_entropy: 3.3219, relative_absolute_error: 0.2044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.6394, unweighted_recall: 0.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8964, f_measure: 0.8134, kappa: 0.7928, kb_relative_information_score: 0.805, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.18, weighted_recall: 0.8135, number_of_instances: 2000, precision: 0.8143, predictive_accuracy: 0.8135, prior_entropy: 3.3219, relative_absolute_error: 0.2072, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.6438, unweighted_recall: 0.8135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8978, f_measure: 0.8162, kappa: 0.7956, kb_relative_information_score: 0.8076, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.18, weighted_recall: 0.816, number_of_instances: 2000, precision: 0.8171, predictive_accuracy: 0.816, prior_entropy: 3.3219, relative_absolute_error: 0.2044, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.6394, unweighted_recall: 0.816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8172, kappa: 0.7972, kb_relative_information_score: 0.8091, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.18, weighted_recall: 0.8175, number_of_instances: 2000, precision: 0.818, predictive_accuracy: 0.8175, prior_entropy: 3.3219, relative_absolute_error: 0.2028, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.191, root_relative_squared_error: 0.6368, unweighted_recall: 0.8175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.8105, kappa: 0.7894, kb_relative_information_score: 0.8018, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.18, weighted_recall: 0.8105, number_of_instances: 2000, precision: 0.8111, predictive_accuracy: 0.8105, prior_entropy: 3.3219, relative_absolute_error: 0.2106, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.6489, unweighted_recall: 0.8105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.8765, kappa: 0.8628, kb_relative_information_score: 0.7303, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.18, weighted_recall: 0.8765, number_of_instances: 2000, precision: 0.8773, predictive_accuracy: 0.8765, prior_entropy: 3.3219, relative_absolute_error: 0.4474, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5404, unweighted_recall: 0.8765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9367, kappa: 0.9294, kb_relative_information_score: 0.9327, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.18, weighted_recall: 0.9365, number_of_instances: 2000, precision: 0.9373, predictive_accuracy: 0.9365, prior_entropy: 3.3219, relative_absolute_error: 0.0889, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.3269, unweighted_recall: 0.9365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9471, kappa: 0.9411, kb_relative_information_score: 0.9441, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.18, weighted_recall: 0.947, number_of_instances: 2000, precision: 0.9474, predictive_accuracy: 0.947, prior_entropy: 3.3219, relative_absolute_error: 0.0708, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.3127, unweighted_recall: 0.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9171, kappa: 0.9078, kb_relative_information_score: 0.9153, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.18, weighted_recall: 0.917, number_of_instances: 2000, precision: 0.9175, predictive_accuracy: 0.917, prior_entropy: 3.3219, relative_absolute_error: 0.1031, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.3826, unweighted_recall: 0.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.75, kappa: 0.7261, kb_relative_information_score: 0.7476, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.18, weighted_recall: 0.7535, number_of_instances: 2000, precision: 0.7559, predictive_accuracy: 0.7535, prior_entropy: 3.3219, relative_absolute_error: 0.2863, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.7081, unweighted_recall: 0.7535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.946, kappa: 0.94, kb_relative_information_score: 0.9454, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.18, weighted_recall: 0.946, number_of_instances: 2000, precision: 0.9462, predictive_accuracy: 0.946, prior_entropy: 3.3219, relative_absolute_error: 0.069, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0939, root_relative_squared_error: 0.3129, unweighted_recall: 0.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9486, kappa: 0.9428, kb_relative_information_score: 0.9468, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.18, weighted_recall: 0.9485, number_of_instances: 2000, precision: 0.9487, predictive_accuracy: 0.9485, prior_entropy: 3.3219, relative_absolute_error: 0.068, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.3009, unweighted_recall: 0.9485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9535, f_measure: 0.8757, kappa: 0.8617, kb_relative_information_score: 0.8705, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.18, weighted_recall: 0.8755, number_of_instances: 2000, precision: 0.8765, predictive_accuracy: 0.8755, prior_entropy: 3.3219, relative_absolute_error: 0.152, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.148, root_relative_squared_error: 0.4933, unweighted_recall: 0.8755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.947, kappa: 0.9411, kb_relative_information_score: 0.9464, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.18, weighted_recall: 0.947, number_of_instances: 2000, precision: 0.9472, predictive_accuracy: 0.947, prior_entropy: 3.3219, relative_absolute_error: 0.071, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.2992, unweighted_recall: 0.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9386, kappa: 0.9317, kb_relative_information_score: 0.9358, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.18, weighted_recall: 0.9385, number_of_instances: 2000, precision: 0.939, predictive_accuracy: 0.9385, prior_entropy: 3.3219, relative_absolute_error: 0.0864, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0954, root_relative_squared_error: 0.3182, unweighted_recall: 0.9385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9447, kappa: 0.9383, kb_relative_information_score: 0.943, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.18, weighted_recall: 0.9445, number_of_instances: 2000, precision: 0.9452, predictive_accuracy: 0.9445, prior_entropy: 3.3219, relative_absolute_error: 0.0735, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0927, root_relative_squared_error: 0.3092, unweighted_recall: 0.9445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9406, kappa: 0.9339, kb_relative_information_score: 0.9395, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.18, weighted_recall: 0.9405, number_of_instances: 2000, precision: 0.9408, predictive_accuracy: 0.9405, prior_entropy: 3.3219, relative_absolute_error: 0.0785, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0955, root_relative_squared_error: 0.3185, unweighted_recall: 0.9405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9401, kappa: 0.9333, kb_relative_information_score: 0.924, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.18, weighted_recall: 0.94, number_of_instances: 2000, precision: 0.9405, predictive_accuracy: 0.94, prior_entropy: 3.3219, relative_absolute_error: 0.1144, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0973, root_relative_squared_error: 0.3242, unweighted_recall: 0.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9495, kappa: 0.9439, kb_relative_information_score: 0.9468, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.18, weighted_recall: 0.9495, number_of_instances: 2000, precision: 0.9498, predictive_accuracy: 0.9495, prior_entropy: 3.3219, relative_absolute_error: 0.0673, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.3014, unweighted_recall: 0.9495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9601, kappa: 0.9556, kb_relative_information_score: 0.9566, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.18, weighted_recall: 0.96, number_of_instances: 2000, precision: 0.9603, predictive_accuracy: 0.96, prior_entropy: 3.3219, relative_absolute_error: 0.0568, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0811, root_relative_squared_error: 0.2703, unweighted_recall: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9341, kappa: 0.9267, kb_relative_information_score: 0.9311, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.18, weighted_recall: 0.934, number_of_instances: 2000, precision: 0.9343, predictive_accuracy: 0.934, prior_entropy: 3.3219, relative_absolute_error: 0.0866, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.3415, unweighted_recall: 0.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9456, kappa: 0.9394, kb_relative_information_score: 0.9432, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.18, weighted_recall: 0.9455, number_of_instances: 2000, precision: 0.946, predictive_accuracy: 0.9455, prior_entropy: 3.3219, relative_absolute_error: 0.0745, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.091, root_relative_squared_error: 0.3035, unweighted_recall: 0.9455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.939, kappa: 0.9322, kb_relative_information_score: 0.9386, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.18, weighted_recall: 0.939, number_of_instances: 2000, precision: 0.9392, predictive_accuracy: 0.939, prior_entropy: 3.3219, relative_absolute_error: 0.0761, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0984, root_relative_squared_error: 0.3279, unweighted_recall: 0.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9595, kappa: 0.955, kb_relative_information_score: 0.9527, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.18, weighted_recall: 0.9595, number_of_instances: 2000, precision: 0.9597, predictive_accuracy: 0.9595, prior_entropy: 3.3219, relative_absolute_error: 0.0683, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.08, root_relative_squared_error: 0.2665, unweighted_recall: 0.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.8197, kappa: 0.8, kb_relative_information_score: 0.8131, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.18, weighted_recall: 0.82, number_of_instances: 2000, precision: 0.821, predictive_accuracy: 0.82, prior_entropy: 3.3219, relative_absolute_error: 0.2204, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.172, root_relative_squared_error: 0.5735, unweighted_recall: 0.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9521, kappa: 0.9467, kb_relative_information_score: 0.9492, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.18, weighted_recall: 0.952, number_of_instances: 2000, precision: 0.9523, predictive_accuracy: 0.952, prior_entropy: 3.3219, relative_absolute_error: 0.0625, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.2978, unweighted_recall: 0.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9416, kappa: 0.935, kb_relative_information_score: 0.9367, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.18, weighted_recall: 0.9415, number_of_instances: 2000, precision: 0.9417, predictive_accuracy: 0.9415, prior_entropy: 3.3219, relative_absolute_error: 0.081, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.097, root_relative_squared_error: 0.3232, unweighted_recall: 0.9415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9451, kappa: 0.9389, kb_relative_information_score: 0.914, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.18, weighted_recall: 0.945, number_of_instances: 2000, precision: 0.9453, predictive_accuracy: 0.945, prior_entropy: 3.3219, relative_absolute_error: 0.1382, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.3231, unweighted_recall: 0.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9429, kappa: 0.9367, kb_relative_information_score: 0.9313, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.18, weighted_recall: 0.943, number_of_instances: 2000, precision: 0.9432, predictive_accuracy: 0.943, prior_entropy: 3.3219, relative_absolute_error: 0.1005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0928, root_relative_squared_error: 0.3094, unweighted_recall: 0.943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.957, kappa: 0.9522, kb_relative_information_score: 0.954, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.18, weighted_recall: 0.957, number_of_instances: 2000, precision: 0.9574, predictive_accuracy: 0.957, prior_entropy: 3.3219, relative_absolute_error: 0.0588, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0845, root_relative_squared_error: 0.2818, unweighted_recall: 0.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9, kappa: 0.8889, kb_relative_information_score: 0.8039, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.18, weighted_recall: 0.9, number_of_instances: 2000, precision: 0.9005, predictive_accuracy: 0.9, prior_entropy: 3.3219, relative_absolute_error: 0.3334, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.4562, unweighted_recall: 0.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9541, kappa: 0.9489, kb_relative_information_score: 0.9504, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.18, weighted_recall: 0.954, number_of_instances: 2000, precision: 0.9545, predictive_accuracy: 0.954, prior_entropy: 3.3219, relative_absolute_error: 0.0661, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.2888, unweighted_recall: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9376, kappa: 0.9306, kb_relative_information_score: 0.9296, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.18, weighted_recall: 0.9375, number_of_instances: 2000, precision: 0.9378, predictive_accuracy: 0.9375, prior_entropy: 3.3219, relative_absolute_error: 0.1025, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.3212, unweighted_recall: 0.9375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9502, kappa: 0.9444, kb_relative_information_score: 0.9454, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.18, weighted_recall: 0.95, number_of_instances: 2000, precision: 0.9506, predictive_accuracy: 0.95, prior_entropy: 3.3219, relative_absolute_error: 0.0692, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.3041, unweighted_recall: 0.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9302, kappa: 0.9222, kb_relative_information_score: 0.9238, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.18, weighted_recall: 0.93, number_of_instances: 2000, precision: 0.9308, predictive_accuracy: 0.93, prior_entropy: 3.3219, relative_absolute_error: 0.1006, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1046, root_relative_squared_error: 0.3486, unweighted_recall: 0.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.956, kappa: 0.9511, kb_relative_information_score: 0.956, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.18, weighted_recall: 0.956, number_of_instances: 2000, precision: 0.9562, predictive_accuracy: 0.956, prior_entropy: 3.3219, relative_absolute_error: 0.0551, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0827, root_relative_squared_error: 0.2756, unweighted_recall: 0.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9475, kappa: 0.9417, kb_relative_information_score: 0.9475, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.18, weighted_recall: 0.9475, number_of_instances: 2000, precision: 0.9476, predictive_accuracy: 0.9475, prior_entropy: 3.3219, relative_absolute_error: 0.0647, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.3072, unweighted_recall: 0.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.8879, kappa: 0.875, kb_relative_information_score: 0.882, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.18, weighted_recall: 0.8875, number_of_instances: 2000, precision: 0.8896, predictive_accuracy: 0.8875, prior_entropy: 3.3219, relative_absolute_error: 0.1437, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.4623, unweighted_recall: 0.8875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.95, kappa: 0.9444, kb_relative_information_score: 0.9455, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.18, weighted_recall: 0.95, number_of_instances: 2000, precision: 0.9504, predictive_accuracy: 0.95, prior_entropy: 3.3219, relative_absolute_error: 0.0721, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.2929, unweighted_recall: 0.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9372, kappa: 0.93, kb_relative_information_score: 0.9336, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.18, weighted_recall: 0.937, number_of_instances: 2000, precision: 0.9378, predictive_accuracy: 0.937, prior_entropy: 3.3219, relative_absolute_error: 0.0899, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0974, root_relative_squared_error: 0.3246, unweighted_recall: 0.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9627, f_measure: 0.8117, kappa: 0.7906, kb_relative_information_score: 0.7965, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.18, weighted_recall: 0.8115, number_of_instances: 2000, precision: 0.8125, predictive_accuracy: 0.8115, prior_entropy: 3.3219, relative_absolute_error: 0.2498, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.5657, unweighted_recall: 0.8115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.7925, kappa: 0.7689, kb_relative_information_score: 0.7817, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.18, weighted_recall: 0.792, number_of_instances: 2000, precision: 0.7935, predictive_accuracy: 0.792, prior_entropy: 3.3219, relative_absolute_error: 0.2642, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.5996, unweighted_recall: 0.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.8979, kappa: 0.8867, kb_relative_information_score: 0.7727, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.18, weighted_recall: 0.898, number_of_instances: 2000, precision: 0.8986, predictive_accuracy: 0.898, prior_entropy: 3.3219, relative_absolute_error: 0.3862, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.4889, unweighted_recall: 0.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9511, kappa: 0.9456, kb_relative_information_score: 0.9481, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.18, weighted_recall: 0.951, number_of_instances: 2000, precision: 0.9513, predictive_accuracy: 0.951, prior_entropy: 3.3219, relative_absolute_error: 0.0677, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0886, root_relative_squared_error: 0.2955, unweighted_recall: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9515, kappa: 0.9461, kb_relative_information_score: 0.9493, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.18, weighted_recall: 0.9515, number_of_instances: 2000, precision: 0.9518, predictive_accuracy: 0.9515, prior_entropy: 3.3219, relative_absolute_error: 0.0668, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.088, root_relative_squared_error: 0.2933, unweighted_recall: 0.9515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.957, kappa: 0.9522, kb_relative_information_score: 0.9541, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.18, weighted_recall: 0.957, number_of_instances: 2000, precision: 0.9572, predictive_accuracy: 0.957, prior_entropy: 3.3219, relative_absolute_error: 0.061, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.082, root_relative_squared_error: 0.2733, unweighted_recall: 0.957,

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

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

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

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