OpenML
Supervised Classification on SPECT

Supervised Classification on SPECT

Task 3056 Supervised Classification SPECT 372 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.81, kappa: 0.4187, kb_relative_information_score: 26.2567, mean_absolute_error: 0.2223, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8062, predictive_accuracy: 0.8182, prior_entropy: 0.738, recall: 0.8182, relative_absolute_error: 0.6652, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.9165, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.8049, kappa: 0.4184, kb_relative_information_score: 8.2506, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8032, predictive_accuracy: 0.8068, prior_entropy: 0.738, recall: 0.8068, relative_absolute_error: 0.8233, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.878, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.8279, kappa: 0.4868, kb_relative_information_score: 20.8271, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8264, predictive_accuracy: 0.8295, prior_entropy: 0.738, recall: 0.8295, relative_absolute_error: 0.7298, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.8725, scimark_benchmark: 851.2074, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6892, kb_relative_information_score: 22.8156, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.6148, predictive_accuracy: 0.7841, prior_entropy: 0.738, recall: 0.7841, relative_absolute_error: 0.6461, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.4647, root_relative_squared_error: 1.1291, scimark_benchmark: 904.6764, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6892, kb_relative_information_score: 22.8156, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.6148, predictive_accuracy: 0.7841, prior_entropy: 0.738, recall: 0.7841, relative_absolute_error: 0.6461, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.4647, root_relative_squared_error: 1.1291, scimark_benchmark: 931.771, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.8284, kappa: 0.5341, kb_relative_information_score: 25.729, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8526, predictive_accuracy: 0.8182, prior_entropy: 0.738, recall: 0.8182, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.9228, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.8284, kappa: 0.5341, kb_relative_information_score: 25.729, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8526, predictive_accuracy: 0.8182, prior_entropy: 0.738, recall: 0.8182, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.9228, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.8437, kappa: 0.5177, kb_relative_information_score: 18.9042, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8429, predictive_accuracy: 0.8523, prior_entropy: 0.738, recall: 0.8523, relative_absolute_error: 0.7702, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.8437, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.8241, kappa: 0.466, kb_relative_information_score: 24.3066, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.821, predictive_accuracy: 0.8295, prior_entropy: 0.738, recall: 0.8295, relative_absolute_error: 0.6667, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.355, root_relative_squared_error: 0.8627, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.8284, kappa: 0.5341, kb_relative_information_score: 25.729, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8526, predictive_accuracy: 0.8182, prior_entropy: 0.738, recall: 0.8182, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.9228, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6892, kb_relative_information_score: 22.8156, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.6148, predictive_accuracy: 0.7841, prior_entropy: 0.738, recall: 0.7841, relative_absolute_error: 0.6461, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.4647, root_relative_squared_error: 1.1291, scimark_benchmark: 947.1781, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.8284, kappa: 0.5341, kb_relative_information_score: 25.729, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8526, predictive_accuracy: 0.8182, prior_entropy: 0.738, recall: 0.8182, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.9228, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6827, f_measure: 0.7582, kappa: 0.314, kb_relative_information_score: 7.5036, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.7694, predictive_accuracy: 0.75, prior_entropy: 0.738, recall: 0.75, relative_absolute_error: 0.8018, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.4646, root_relative_squared_error: 1.1289, scimark_benchmark: 936.3373, usercpu_time_millis: 950, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, f_measure: 0.8196, kappa: 0.4435, kb_relative_information_score: 24.8428, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8169, predictive_accuracy: 0.8295, prior_entropy: 0.738, recall: 0.8295, relative_absolute_error: 0.6924, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.8511, scimark_benchmark: 947.1781, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.81, kappa: 0.4187, kb_relative_information_score: 26.2567, mean_absolute_error: 0.2223, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8062, predictive_accuracy: 0.8182, prior_entropy: 0.738, recall: 0.8182, relative_absolute_error: 0.6652, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.9165, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.8049, kappa: 0.4184, kb_relative_information_score: 8.2506, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8032, predictive_accuracy: 0.8068, prior_entropy: 0.738, recall: 0.8068, relative_absolute_error: 0.8233, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.878, scimark_benchmark: 935.2002, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.8279, kappa: 0.4868, kb_relative_information_score: 20.8271, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8264, predictive_accuracy: 0.8295, prior_entropy: 0.738, recall: 0.8295, relative_absolute_error: 0.7298, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.8725, scimark_benchmark: 906.5979, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6892, kb_relative_information_score: 22.8156, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.6148, predictive_accuracy: 0.7841, prior_entropy: 0.738, recall: 0.7841, relative_absolute_error: 0.6461, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.4647, root_relative_squared_error: 1.1291, scimark_benchmark: 908.9569, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6892, kb_relative_information_score: 22.8156, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.6148, predictive_accuracy: 0.7841, prior_entropy: 0.738, recall: 0.7841, relative_absolute_error: 0.6461, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.4647, root_relative_squared_error: 1.1291, scimark_benchmark: 919.3788, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.8186, kappa: 0.513, kb_relative_information_score: 26.3544, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8475, predictive_accuracy: 0.8068, prior_entropy: 0.738, recall: 0.8068, relative_absolute_error: 0.611, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.9419, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.8284, kappa: 0.5341, kb_relative_information_score: 25.729, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8526, predictive_accuracy: 0.8182, prior_entropy: 0.738, recall: 0.8182, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.9228, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.8284, kappa: 0.5341, kb_relative_information_score: 25.729, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8526, predictive_accuracy: 0.8182, prior_entropy: 0.738, recall: 0.8182, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.9228, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.8437, kappa: 0.5177, kb_relative_information_score: 18.9042, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8429, predictive_accuracy: 0.8523, prior_entropy: 0.738, recall: 0.8523, relative_absolute_error: 0.7702, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.8437, scimark_benchmark: 941.4991, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.8241, kappa: 0.466, kb_relative_information_score: 24.3066, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.821, predictive_accuracy: 0.8295, prior_entropy: 0.738, recall: 0.8295, relative_absolute_error: 0.6667, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.355, root_relative_squared_error: 0.8627, scimark_benchmark: 936.9595, usercpu_time_millis: 850, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.8284, kappa: 0.5341, kb_relative_information_score: 25.729, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8526, predictive_accuracy: 0.8182, prior_entropy: 0.738, recall: 0.8182, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.9228, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6827, f_measure: 0.7582, kappa: 0.314, kb_relative_information_score: 7.5036, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.7694, predictive_accuracy: 0.75, prior_entropy: 0.738, recall: 0.75, relative_absolute_error: 0.8018, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.4646, root_relative_squared_error: 1.1289, scimark_benchmark: 934.695, usercpu_time_millis: 810, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, f_measure: 0.8196, kappa: 0.4435, kb_relative_information_score: 24.8428, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8169, predictive_accuracy: 0.8295, prior_entropy: 0.738, recall: 0.8295, relative_absolute_error: 0.6924, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.8511, scimark_benchmark: 936.3213, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, f_measure: 0.8049, kappa: 0.3936, kb_relative_information_score: 21.8342, mean_absolute_error: 0.2475, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.802, predictive_accuracy: 0.8182, prior_entropy: 0.738, recall: 0.8182, relative_absolute_error: 0.7406, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.36, root_relative_squared_error: 0.8747, scimark_benchmark: 938.988, usercpu_time_millis: 3520, usercpu_time_millis_testing: 1770, usercpu_time_millis_training: 1750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8459, f_measure: 0.8196, kappa: 0.4435, kb_relative_information_score: 23.6964, mean_absolute_error: 0.2425, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8169, predictive_accuracy: 0.8295, prior_entropy: 0.738, recall: 0.8295, relative_absolute_error: 0.7257, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.356, root_relative_squared_error: 0.865, scimark_benchmark: 934.695, usercpu_time_millis: 1530, usercpu_time_millis_testing: 700, usercpu_time_millis_training: 830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.8049, kappa: 0.3936, kb_relative_information_score: 22.1401, mean_absolute_error: 0.2477, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.802, predictive_accuracy: 0.8182, prior_entropy: 0.738, recall: 0.8182, relative_absolute_error: 0.7411, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3607, root_relative_squared_error: 0.8765, scimark_benchmark: 939.7241, usercpu_time_millis: 610, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.8049, kappa: 0.3936, kb_relative_information_score: 23.1326, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.802, predictive_accuracy: 0.8182, prior_entropy: 0.738, recall: 0.8182, relative_absolute_error: 0.7332, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.8718, scimark_benchmark: 914.3583, usercpu_time_millis: 280, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.8338, kappa: 0.4913, kb_relative_information_score: 23.0003, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8314, predictive_accuracy: 0.8409, prior_entropy: 0.738, recall: 0.8409, relative_absolute_error: 0.728, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3537, root_relative_squared_error: 0.8596, scimark_benchmark: 936.7184, usercpu_time_millis: 170, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.7861, kappa: 0.3743, kb_relative_information_score: 13.2094, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.7883, predictive_accuracy: 0.7841, prior_entropy: 0.738, recall: 0.7841, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.9335, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.7861, kappa: 0.3743, kb_relative_information_score: 13.2094, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.7883, predictive_accuracy: 0.7841, prior_entropy: 0.738, recall: 0.7841, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.9335, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.7861, kappa: 0.3743, kb_relative_information_score: 13.2094, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.7883, predictive_accuracy: 0.7841, prior_entropy: 0.738, recall: 0.7841, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.9335, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.7861, kappa: 0.3743, kb_relative_information_score: 13.2094, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.7883, predictive_accuracy: 0.7841, prior_entropy: 0.738, recall: 0.7841, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.9335, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.7861, kappa: 0.3743, kb_relative_information_score: 13.2094, mean_absolute_error: 0.2466, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.7883, predictive_accuracy: 0.7841, prior_entropy: 0.738, recall: 0.7841, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.9335, scimark_benchmark: 926.5859,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.8284, kappa: 0.5341, kb_relative_information_score: 25.729, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8526, predictive_accuracy: 0.8182, prior_entropy: 0.738, recall: 0.8182, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.9228, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, f_measure: 0.8196, kappa: 0.4435, kb_relative_information_score: 24.8428, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8169, predictive_accuracy: 0.8295, prior_entropy: 0.738, recall: 0.8295, relative_absolute_error: 0.6924, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.8511, scimark_benchmark: 1317.5857, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6892, kb_relative_information_score: 22.8156, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.6148, predictive_accuracy: 0.7841, prior_entropy: 0.738, recall: 0.7841, relative_absolute_error: 0.6461, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.4647, root_relative_squared_error: 1.1291, scimark_benchmark: 1324.8408, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.8186, kappa: 0.513, kb_relative_information_score: 26.3544, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8475, predictive_accuracy: 0.8068, prior_entropy: 0.738, recall: 0.8068, relative_absolute_error: 0.611, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.9419, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.8284, kappa: 0.5341, kb_relative_information_score: 25.729, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8526, predictive_accuracy: 0.8182, prior_entropy: 0.738, recall: 0.8182, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.9228, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.8284, kappa: 0.5341, kb_relative_information_score: 25.729, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8526, predictive_accuracy: 0.8182, prior_entropy: 0.738, recall: 0.8182, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.9228, scimark_benchmark: 1306.9281, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8257, f_measure: 0.81, kappa: 0.4187, kb_relative_information_score: 26.2567, mean_absolute_error: 0.2223, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8062, predictive_accuracy: 0.8182, prior_entropy: 0.738, recall: 0.8182, relative_absolute_error: 0.6652, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.9165, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.8049, kappa: 0.4184, kb_relative_information_score: 8.2506, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8032, predictive_accuracy: 0.8068, prior_entropy: 0.738, recall: 0.8068, relative_absolute_error: 0.8233, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.878, scimark_benchmark: 1350.2591, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.8186, kappa: 0.513, kb_relative_information_score: 26.3544, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8475, predictive_accuracy: 0.8068, prior_entropy: 0.738, recall: 0.8068, relative_absolute_error: 0.611, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.9419, scimark_benchmark: 1351.1238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.8284, kappa: 0.5341, kb_relative_information_score: 25.729, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8526, predictive_accuracy: 0.8182, prior_entropy: 0.738, recall: 0.8182, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.9228, scimark_benchmark: 1316.5668, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.8284, kappa: 0.5341, kb_relative_information_score: 25.729, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8526, predictive_accuracy: 0.8182, prior_entropy: 0.738, recall: 0.8182, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.9228, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.8284, kappa: 0.5341, kb_relative_information_score: 25.729, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8526, predictive_accuracy: 0.8182, prior_entropy: 0.738, recall: 0.8182, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.9228, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.8284, kappa: 0.5341, kb_relative_information_score: 25.729, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8526, predictive_accuracy: 0.8182, prior_entropy: 0.738, recall: 0.8182, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.9228, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.8241, kappa: 0.466, kb_relative_information_score: 24.3066, mean_absolute_error: 0.2228, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.821, predictive_accuracy: 0.8295, prior_entropy: 0.738, recall: 0.8295, relative_absolute_error: 0.6667, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.355, root_relative_squared_error: 0.8627, scimark_benchmark: 1317.5857, usercpu_time_millis: 640, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.8284, kappa: 0.5341, kb_relative_information_score: 25.729, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8526, predictive_accuracy: 0.8182, prior_entropy: 0.738, recall: 0.8182, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.9228, scimark_benchmark: 1393.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.8284, kappa: 0.5341, kb_relative_information_score: 25.729, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8526, predictive_accuracy: 0.8182, prior_entropy: 0.738, recall: 0.8182, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.9228, scimark_benchmark: 1345.6844, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.8284, kappa: 0.5341, kb_relative_information_score: 25.729, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8526, predictive_accuracy: 0.8182, prior_entropy: 0.738, recall: 0.8182, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.9228, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.8437, kappa: 0.5177, kb_relative_information_score: 18.9042, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8429, predictive_accuracy: 0.8523, prior_entropy: 0.738, recall: 0.8523, relative_absolute_error: 0.7702, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3472, root_relative_squared_error: 0.8437, scimark_benchmark: 1313.5633, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.8284, kappa: 0.5341, kb_relative_information_score: 25.729, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8526, predictive_accuracy: 0.8182, prior_entropy: 0.738, recall: 0.8182, relative_absolute_error: 0.6367, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.9228, scimark_benchmark: 1317.5348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6827, f_measure: 0.7582, kappa: 0.314, kb_relative_information_score: 7.5036, mean_absolute_error: 0.268, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.7694, predictive_accuracy: 0.75, prior_entropy: 0.738, recall: 0.75, relative_absolute_error: 0.8018, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.4646, root_relative_squared_error: 1.1289, scimark_benchmark: 1342.2845, usercpu_time_millis: 760, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, f_measure: 0.8196, kappa: 0.4435, kb_relative_information_score: 24.8428, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.3342, number_of_instances: 88, precision: 0.8169, predictive_accuracy: 0.8295, prior_entropy: 0.738, recall: 0.8295, relative_absolute_error: 0.6924, root_mean_prior_squared_error: 0.4115, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.8511, scimark_benchmark: 1313.8988, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,

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