Task
Supervised Classification on wine

Supervised Classification on wine

Task 3836 Supervised Classification wine 560 runs submitted
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  • study_1 study_107 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9547, kappa: 0.9049, kb_relative_information_score: 158.8517, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9566, predictive_accuracy: 0.9551, prior_entropy: 0.971, recall: 0.9551, relative_absolute_error: 0.1094, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.3865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9492, kappa: 0.8938, kb_relative_information_score: 157.8495, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9496, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1134, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.208, root_relative_squared_error: 0.4249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9548, kappa: 0.9054, kb_relative_information_score: 144.4348, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9556, predictive_accuracy: 0.9551, prior_entropy: 0.971, recall: 0.9551, relative_absolute_error: 0.2048, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.4338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9491, kappa: 0.8933, kb_relative_information_score: 156.4522, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9503, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1259, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.189, root_relative_squared_error: 0.3859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9067, f_measure: 0.9378, kappa: 0.8696, kb_relative_information_score: 152.4708, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9389, predictive_accuracy: 0.9382, prior_entropy: 0.971, recall: 0.9382, relative_absolute_error: 0.1449, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.5078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9373, f_measure: 0.938, kappa: 0.8702, kb_relative_information_score: 154.1365, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9383, predictive_accuracy: 0.9382, prior_entropy: 0.971, recall: 0.9382, relative_absolute_error: 0.1314, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2474, root_relative_squared_error: 0.5052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9435, kappa: 0.8817, kb_relative_information_score: 157.119, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9442, predictive_accuracy: 0.9438, prior_entropy: 0.971, recall: 0.9438, relative_absolute_error: 0.1139, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.231, root_relative_squared_error: 0.4718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9492, kappa: 0.8938, kb_relative_information_score: 157.9062, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9496, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1118, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.4544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9775, kappa: 0.9529, kb_relative_information_score: 165.208, mean_absolute_error: 0.0359, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9777, predictive_accuracy: 0.9775, prior_entropy: 0.971, recall: 0.9775, relative_absolute_error: 0.0749, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1444, root_relative_squared_error: 0.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9887, kappa: 0.9765, kb_relative_information_score: 170.7296, mean_absolute_error: 0.0205, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.989, predictive_accuracy: 0.9888, prior_entropy: 0.971, recall: 0.9888, relative_absolute_error: 0.0427, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1174, root_relative_squared_error: 0.2398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9492, kappa: 0.8938, kb_relative_information_score: 154.6801, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9496, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1319, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.4097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9717, kappa: 0.9407, kb_relative_information_score: 154.7043, mean_absolute_error: 0.0688, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9732, predictive_accuracy: 0.9719, prior_entropy: 0.971, recall: 0.9719, relative_absolute_error: 0.1434, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.3522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9489, kappa: 0.8928, kb_relative_information_score: 159.0126, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9516, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1076, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.3813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9887, kappa: 0.9765, kb_relative_information_score: 166.079, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.989, predictive_accuracy: 0.9888, prior_entropy: 0.971, recall: 0.9888, relative_absolute_error: 0.0703, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.2864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9491, kappa: 0.8933, kb_relative_information_score: 151.2163, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9503, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1595, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.3971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9604, kappa: 0.917, kb_relative_information_score: 129.907, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9618, predictive_accuracy: 0.9607, prior_entropy: 0.971, recall: 0.9607, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4839, f_measure: 0.4514, kb_relative_information_score: -0.0857, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.3614, predictive_accuracy: 0.6011, prior_entropy: 0.971, recall: 0.6011, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.4897, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9661, kappa: 0.929, kb_relative_information_score: 158.6033, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.967, predictive_accuracy: 0.9663, prior_entropy: 0.971, recall: 0.9663, relative_absolute_error: 0.1147, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1683, root_relative_squared_error: 0.3436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9718, kappa: 0.941, kb_relative_information_score: 159.0127, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9723, predictive_accuracy: 0.9719, prior_entropy: 0.971, recall: 0.9719, relative_absolute_error: 0.1124, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.3312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9831, kappa: 0.9648, kb_relative_information_score: 160.8318, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9832, predictive_accuracy: 0.9831, prior_entropy: 0.971, recall: 0.9831, relative_absolute_error: 0.1054, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1529, root_relative_squared_error: 0.3123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.9262, kappa: 0.8451, kb_relative_information_score: 149.6901, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9286, predictive_accuracy: 0.927, prior_entropy: 0.971, recall: 0.927, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.5506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9489, kappa: 0.8928, kb_relative_information_score: 158.4747, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9516, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1107, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.3908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9831, kappa: 0.9646, kb_relative_information_score: 170.8541, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9836, predictive_accuracy: 0.9831, prior_entropy: 0.971, recall: 0.9831, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1315, root_relative_squared_error: 0.2685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9604, kappa: 0.917, kb_relative_information_score: 160.0869, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9618, predictive_accuracy: 0.9607, prior_entropy: 0.971, recall: 0.9607, relative_absolute_error: 0.1029, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.3709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9548, kappa: 0.9054, kb_relative_information_score: 156.5413, mean_absolute_error: 0.0602, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9556, predictive_accuracy: 0.9551, prior_entropy: 0.971, recall: 0.9551, relative_absolute_error: 0.1254, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.3849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9577, f_measure: 0.966, kappa: 0.9287, kb_relative_information_score: 165.1566, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9681, predictive_accuracy: 0.9663, prior_entropy: 0.971, recall: 0.9663, relative_absolute_error: 0.0703, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.3749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9831, kappa: 0.9646, kb_relative_information_score: 151.1434, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9836, predictive_accuracy: 0.9831, prior_entropy: 0.971, recall: 0.9831, relative_absolute_error: 0.1751, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.157, root_relative_squared_error: 0.3207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9648, f_measure: 0.9717, kappa: 0.9407, kb_relative_information_score: 167.277, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9732, predictive_accuracy: 0.9719, prior_entropy: 0.971, recall: 0.9719, relative_absolute_error: 0.0585, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.3423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9494, kappa: 0.8943, kb_relative_information_score: 158.1329, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9494, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1125, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.3914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.9661, kappa: 0.929, kb_relative_information_score: 165.1566, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.967, predictive_accuracy: 0.9663, prior_entropy: 0.971, recall: 0.9663, relative_absolute_error: 0.0703, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.3749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.9262, kappa: 0.8451, kb_relative_information_score: 149.6901, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9286, predictive_accuracy: 0.927, prior_entropy: 0.971, recall: 0.927, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.5506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.9201, kappa: 0.832, kb_relative_information_score: 148.1926, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9253, predictive_accuracy: 0.9213, prior_entropy: 0.971, recall: 0.9213, relative_absolute_error: 0.1639, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.5727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.9201, kappa: 0.832, kb_relative_information_score: 148.1926, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9253, predictive_accuracy: 0.9213, prior_entropy: 0.971, recall: 0.9213, relative_absolute_error: 0.1639, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.5727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.9201, kappa: 0.832, kb_relative_information_score: 148.1926, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9253, predictive_accuracy: 0.9213, prior_entropy: 0.971, recall: 0.9213, relative_absolute_error: 0.1639, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.5727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.9201, kappa: 0.832, kb_relative_information_score: 148.1926, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9253, predictive_accuracy: 0.9213, prior_entropy: 0.971, recall: 0.9213, relative_absolute_error: 0.1639, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.5727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.9201, kappa: 0.832, kb_relative_information_score: 148.1926, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9253, predictive_accuracy: 0.9213, prior_entropy: 0.971, recall: 0.9213, relative_absolute_error: 0.1639, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.5727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.6561, kappa: 0.3089, kb_relative_information_score: 32.3701, mean_absolute_error: 0.4026, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.7857, predictive_accuracy: 0.7079, prior_entropy: 0.971, recall: 0.7079, relative_absolute_error: 0.8392, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9775, kappa: 0.9529, kb_relative_information_score: 149.8115, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9777, predictive_accuracy: 0.9775, prior_entropy: 0.971, recall: 0.9775, relative_absolute_error: 0.1827, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1639, root_relative_squared_error: 0.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.9212, kappa: 0.8352, kb_relative_information_score: 148.1926, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9212, predictive_accuracy: 0.9213, prior_entropy: 0.971, recall: 0.9213, relative_absolute_error: 0.1639, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.5727,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9489, kappa: 0.8928, kb_relative_information_score: 158.7671, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9516, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1096, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.3876, scimark_benchmark: 1315.8094, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9719, kappa: 0.9413, kb_relative_information_score: 167.0572, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 0.971, recall: 0.9719, relative_absolute_error: 0.0639, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1297, root_relative_squared_error: 0.2649, scimark_benchmark: 1331.242, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9719, kappa: 0.9413, kb_relative_information_score: 167.4749, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 0.971, recall: 0.9719, relative_absolute_error: 0.0571, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3333, scimark_benchmark: 1341.1927, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.9545, kappa: 0.9045, kb_relative_information_score: 159.4269, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9582, predictive_accuracy: 0.9551, prior_entropy: 0.971, recall: 0.9551, relative_absolute_error: 0.1054, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2108, root_relative_squared_error: 0.4305, scimark_benchmark: 1267.7497, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9774, kappa: 0.9527, kb_relative_information_score: 168.6376, mean_absolute_error: 0.0247, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9783, predictive_accuracy: 0.9775, prior_entropy: 0.971, recall: 0.9775, relative_absolute_error: 0.0515, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1507, root_relative_squared_error: 0.3077, scimark_benchmark: 990.2553, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.932, kappa: 0.8574, kb_relative_information_score: 150.8556, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9337, predictive_accuracy: 0.9326, prior_entropy: 0.971, recall: 0.9326, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.5107, scimark_benchmark: 1005.5735, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9775, kappa: 0.9529, kb_relative_information_score: 169.3975, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9777, predictive_accuracy: 0.9775, prior_entropy: 0.971, recall: 0.9775, relative_absolute_error: 0.0468, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.3061, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9887, kappa: 0.9765, kb_relative_information_score: 173.6385, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.989, predictive_accuracy: 0.9888, prior_entropy: 0.971, recall: 0.9888, relative_absolute_error: 0.0234, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2165, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.9149, kappa: 0.8213, kb_relative_information_score: 135.6716, mean_absolute_error: 0.1219, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9171, predictive_accuracy: 0.9157, prior_entropy: 0.971, recall: 0.9157, relative_absolute_error: 0.2541, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.5749, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.9204, kappa: 0.8328, kb_relative_information_score: 137.9644, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9235, predictive_accuracy: 0.9213, prior_entropy: 0.971, recall: 0.9213, relative_absolute_error: 0.2413, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.5587, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9491, kappa: 0.8933, kb_relative_information_score: 154.6715, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9503, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1317, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.4088, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9547, kappa: 0.9049, kb_relative_information_score: 158.8517, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9566, predictive_accuracy: 0.9551, prior_entropy: 0.971, recall: 0.9551, relative_absolute_error: 0.1094, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1893, root_relative_squared_error: 0.3865, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.9603, kappa: 0.9166, kb_relative_information_score: 163.0361, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9631, predictive_accuracy: 0.9607, prior_entropy: 0.971, recall: 0.9607, relative_absolute_error: 0.082, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1983, root_relative_squared_error: 0.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9492, kappa: 0.8938, kb_relative_information_score: 154.6801, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9496, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1319, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.4097, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9489, kappa: 0.8928, kb_relative_information_score: 158.7671, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9516, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1096, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.3876, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9774, kappa: 0.9527, kb_relative_information_score: 169.3975, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9783, predictive_accuracy: 0.9775, prior_entropy: 0.971, recall: 0.9775, relative_absolute_error: 0.0468, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.3061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9774, kappa: 0.9527, kb_relative_information_score: 169.3975, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9783, predictive_accuracy: 0.9775, prior_entropy: 0.971, recall: 0.9775, relative_absolute_error: 0.0468, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.3061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9492, kappa: 0.8938, kb_relative_information_score: 154.6801, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9496, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1319, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2006, root_relative_squared_error: 0.4097, scimark_benchmark: 1887.4343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.932, kappa: 0.8574, kb_relative_information_score: 151.7938, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9337, predictive_accuracy: 0.9326, prior_entropy: 0.971, recall: 0.9326, relative_absolute_error: 0.1454, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.259, root_relative_squared_error: 0.5289, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.9262, kappa: 0.8451, kb_relative_information_score: 149.6901, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9286, predictive_accuracy: 0.927, prior_entropy: 0.971, recall: 0.927, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.5506, scimark_benchmark: 1806.5905,

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