OpenML
Supervised Classification on heart-h

Supervised Classification on heart-h

Task 50 Supervised Classification heart-h 703 runs submitted
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  • basic study_1 study_107 study_41 study_50 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8486, kappa: 0.6686, kb_relative_information_score: 166.552, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.849, predictive_accuracy: 0.8503, prior_entropy: 1.0314, recall: 0.8503, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.212, root_relative_squared_error: 0.6981, scimark_benchmark: 1280.9535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8146, kappa: 0.595, kb_relative_information_score: 131.2517, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8142, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.7505, scimark_benchmark: 1351.1238, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.8023, kappa: 0.5704, kb_relative_information_score: 114.983, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.802, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.8245, scimark_benchmark: 1344.7524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8486, kappa: 0.6686, kb_relative_information_score: 166.552, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.849, predictive_accuracy: 0.8503, prior_entropy: 1.0314, recall: 0.8503, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.212, root_relative_squared_error: 0.6981, scimark_benchmark: 1323.4116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8486, kappa: 0.6686, kb_relative_information_score: 166.552, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.849, predictive_accuracy: 0.8503, prior_entropy: 1.0314, recall: 0.8503, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.212, root_relative_squared_error: 0.6981, scimark_benchmark: 1325.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8146, kappa: 0.595, kb_relative_information_score: 131.2517, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8142, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.7505, scimark_benchmark: 1267.7714, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.8023, kappa: 0.5704, kb_relative_information_score: 114.983, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.802, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.8245, scimark_benchmark: 1344.0499, 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: 0.4988, kb_relative_information_score: 54.9495, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 0.7724, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3798, root_relative_squared_error: 1.2504, scimark_benchmark: 1317.5857, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8486, kappa: 0.6686, kb_relative_information_score: 166.552, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.849, predictive_accuracy: 0.8503, prior_entropy: 1.0314, recall: 0.8503, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.212, root_relative_squared_error: 0.6981, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: 54.9495, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 0.7724, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3798, root_relative_squared_error: 1.2504, scimark_benchmark: 938.0414, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8146, kappa: 0.595, kb_relative_information_score: 131.2517, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8142, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.7505, scimark_benchmark: 1322.7257, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9114, f_measure: 0.8486, kappa: 0.6686, kb_relative_information_score: 169.1151, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.849, predictive_accuracy: 0.8503, prior_entropy: 1.0314, recall: 0.8503, relative_absolute_error: 0.3854, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.724, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.8023, kappa: 0.5704, kb_relative_information_score: 114.983, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.802, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.8245, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8486, kappa: 0.6686, kb_relative_information_score: 166.552, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.849, predictive_accuracy: 0.8503, prior_entropy: 1.0314, recall: 0.8503, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.212, root_relative_squared_error: 0.6981, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8486, kappa: 0.6686, kb_relative_information_score: 166.552, mean_absolute_error: 0.0745, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.849, predictive_accuracy: 0.8503, prior_entropy: 1.0314, recall: 0.8503, relative_absolute_error: 0.3991, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.212, root_relative_squared_error: 0.6981, scimark_benchmark: 1342.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8146, kappa: 0.595, kb_relative_information_score: 131.2517, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8142, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.5331, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.7505, scimark_benchmark: 1345.7204, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7621, f_measure: 0.8009, kappa: 0.565, kb_relative_information_score: 137.82, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8004, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.5041, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2628, root_relative_squared_error: 0.8652, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.8023, kappa: 0.5704, kb_relative_information_score: 114.983, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.802, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.8245, scimark_benchmark: 1064.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.7977, kappa: 0.5584, kb_relative_information_score: 115.7335, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7971, predictive_accuracy: 0.7993, prior_entropy: 1.0314, recall: 0.7993, relative_absolute_error: 0.6058, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.243, root_relative_squared_error: 0.8, scimark_benchmark: 1308.3124, usercpu_time_millis: 140, usercpu_time_millis_testing: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.8023, kappa: 0.5704, kb_relative_information_score: 114.983, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.802, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.8245, scimark_benchmark: 1151.6869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.8023, kappa: 0.5704, kb_relative_information_score: 114.983, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.802, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.8245, scimark_benchmark: 1321.5205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.7827, kappa: 0.5298, kb_relative_information_score: 140.0988, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7833, predictive_accuracy: 0.7823, prior_entropy: 1.0314, recall: 0.7823, relative_absolute_error: 0.4857, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.7794, scimark_benchmark: 1320.9026, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.814, kappa: 0.5896, kb_relative_information_score: 108.691, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8197, predictive_accuracy: 0.8197, prior_entropy: 1.0314, recall: 0.8197, relative_absolute_error: 0.6429, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.7516, scimark_benchmark: 1345.7582, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.8069, kappa: 0.5741, kb_relative_information_score: 110.2227, mean_absolute_error: 0.1189, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8123, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.6366, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.7494, scimark_benchmark: 1352.2099, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8029, f_measure: 0.8023, kappa: 0.5704, kb_relative_information_score: 114.983, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.802, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.6059, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.8245, scimark_benchmark: 922.1419, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7041, f_measure: 0.6827, kappa: 0.3681, kb_relative_information_score: 78.8095, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7327, predictive_accuracy: 0.6769, prior_entropy: 1.0314, recall: 0.6769, relative_absolute_error: 0.6923, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3595, root_relative_squared_error: 1.1837, scimark_benchmark: 1327.035, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.7827, kappa: 0.5298, kb_relative_information_score: 140.0988, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7833, predictive_accuracy: 0.7823, prior_entropy: 1.0314, recall: 0.7823, relative_absolute_error: 0.4857, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.7794, scimark_benchmark: 929.0363, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7724, f_measure: 0.8025, kappa: 0.5661, kb_relative_information_score: 113.7828, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8034, predictive_accuracy: 0.8061, prior_entropy: 1.0314, recall: 0.8061, relative_absolute_error: 0.6153, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.8319, scimark_benchmark: 1314.9535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8453, kappa: 0.6618, kb_relative_information_score: 161.6791, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8455, predictive_accuracy: 0.8469, prior_entropy: 1.0314, recall: 0.8469, relative_absolute_error: 0.4201, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.211, root_relative_squared_error: 0.6948, scimark_benchmark: 854.5188, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.8178, kappa: 0.5982, kb_relative_information_score: 108.9847, mean_absolute_error: 0.1195, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.823, predictive_accuracy: 0.8231, prior_entropy: 1.0314, recall: 0.8231, relative_absolute_error: 0.6402, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.7523, scimark_benchmark: 1337.0272, usercpu_time_millis: 160, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7587, f_measure: 0.8023, kappa: 0.5704, kb_relative_information_score: 125.9916, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.802, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.5548, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.851, scimark_benchmark: 943.1756, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8159, kappa: 0.6, kb_relative_information_score: 148.9652, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8156, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7385, scimark_benchmark: 1308.3432, usercpu_time_millis: 480, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8146, kappa: 0.595, kb_relative_information_score: 146.6948, mean_absolute_error: 0.0872, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8142, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.4671, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.793, scimark_benchmark: 1205.8291, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.7685, kappa: 0.4922, kb_relative_information_score: 127.2087, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7681, predictive_accuracy: 0.7721, prior_entropy: 1.0314, recall: 0.7721, relative_absolute_error: 0.5319, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.8586, scimark_benchmark: 1329.8847, usercpu_time_millis: 360, usercpu_time_millis_testing: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7844, f_measure: 0.7882, kappa: 0.5389, kb_relative_information_score: 141.4149, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7876, predictive_accuracy: 0.7891, prior_entropy: 1.0314, recall: 0.7891, relative_absolute_error: 0.4752, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2878, root_relative_squared_error: 0.9477, scimark_benchmark: 1331.5882, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7672, f_measure: 0.7882, kappa: 0.5389, kb_relative_information_score: 145.9435, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7876, predictive_accuracy: 0.7891, prior_entropy: 1.0314, recall: 0.7891, relative_absolute_error: 0.4518, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.9563, scimark_benchmark: 1316.8289, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5833, f_measure: 0.5629, kappa: 0.0901, kb_relative_information_score: -28.8183, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.6777, predictive_accuracy: 0.6599, prior_entropy: 1.0314, recall: 0.6599, relative_absolute_error: 1.0654, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3146, root_relative_squared_error: 1.0358, scimark_benchmark: 1327.3602,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.7872, kappa: 0.535, kb_relative_information_score: 137.5906, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7865, predictive_accuracy: 0.7891, prior_entropy: 1.0314, recall: 0.7891, relative_absolute_error: 0.4893, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2534, root_relative_squared_error: 0.8344, scimark_benchmark: 855.8522, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8153, f_measure: 0.838, kappa: 0.6453, kb_relative_information_score: 10.3317, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8385, predictive_accuracy: 0.8401, prior_entropy: 1.0314, recall: 0.8401, relative_absolute_error: 0.9671, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.9463, scimark_benchmark: 942.2229, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8159, kappa: 0.6, kb_relative_information_score: 148.9652, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8156, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7385, scimark_benchmark: 944.4621, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7041, f_measure: 0.6827, kappa: 0.3681, kb_relative_information_score: 78.8095, mean_absolute_error: 0.1293, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7327, predictive_accuracy: 0.6769, prior_entropy: 1.0314, recall: 0.6769, relative_absolute_error: 0.6923, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3595, root_relative_squared_error: 1.1837, scimark_benchmark: 1304.9611, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.832, kappa: 0.6333, kb_relative_information_score: 150.0725, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8317, predictive_accuracy: 0.8333, prior_entropy: 1.0314, recall: 0.8333, relative_absolute_error: 0.4523, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.7554, scimark_benchmark: 1073.494, usercpu_time_millis: 450, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7461, f_measure: 0.7415, kappa: 0.4394, kb_relative_information_score: 122.0542, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7415, predictive_accuracy: 0.7415, prior_entropy: 1.0314, recall: 0.7415, relative_absolute_error: 0.5351, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3096, root_relative_squared_error: 1.0193, scimark_benchmark: 1315.3881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7999, kappa: 0.5613, kb_relative_information_score: 120.0979, mean_absolute_error: 0.1085, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7999, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.8193, scimark_benchmark: 1335.4072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.8167, kappa: 0.6033, kb_relative_information_score: 132.1796, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8171, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.7953, scimark_benchmark: 1066.7184, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7787, f_measure: 0.7959, kappa: 0.5574, kb_relative_information_score: 150.0743, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7959, predictive_accuracy: 0.7959, prior_entropy: 1.0314, recall: 0.7959, relative_absolute_error: 0.4372, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2857, root_relative_squared_error: 0.9407, scimark_benchmark: 1353.6735, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6069, f_measure: 0.655, kappa: 0.2457, kb_relative_information_score: 90.1362, mean_absolute_error: 0.1211, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.6974, predictive_accuracy: 0.6973, prior_entropy: 1.0314, recall: 0.6973, relative_absolute_error: 0.6485, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.348, root_relative_squared_error: 1.1458, scimark_benchmark: 1384.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.8078, kappa: 0.58, kb_relative_information_score: 129.5443, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8073, predictive_accuracy: 0.8095, prior_entropy: 1.0314, recall: 0.8095, relative_absolute_error: 0.5388, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.237, root_relative_squared_error: 0.7804, scimark_benchmark: 1465.2979, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7676, f_measure: 0.7981, kappa: 0.5557, kb_relative_information_score: 154.0219, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8001, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.9249, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.8119, kappa: 0.5901, kb_relative_information_score: 160.489, mean_absolute_error: 0.0746, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8114, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.3997, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2676, root_relative_squared_error: 0.8811, scimark_benchmark: 940.3346, usercpu_time_millis: 18110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 18080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7393, f_measure: 0.7749, kappa: 0.5034, kb_relative_information_score: 141.6795, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7793, predictive_accuracy: 0.7823, prior_entropy: 1.0314, recall: 0.7823, relative_absolute_error: 0.4664, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9716, scimark_benchmark: 977.6382, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4843, f_measure: 0.4988, kb_relative_information_score: -0.6413, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3037, root_relative_squared_error: 1.0001, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7675, f_measure: 0.7993, kappa: 0.5595, kb_relative_information_score: 111.7688, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7998, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.6224, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.84, scimark_benchmark: 977.6382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.8396, kappa: 0.6511, kb_relative_information_score: 171.0557, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8393, predictive_accuracy: 0.8401, prior_entropy: 1.0314, recall: 0.8401, relative_absolute_error: 0.3682, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.7866, scimark_benchmark: 942.6953, usercpu_time_millis: 120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8464, kappa: 0.666, kb_relative_information_score: 141.4158, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8461, predictive_accuracy: 0.8469, prior_entropy: 1.0314, recall: 0.8469, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.743, scimark_benchmark: 945.6434, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8464, kappa: 0.666, kb_relative_information_score: 141.4158, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8461, predictive_accuracy: 0.8469, prior_entropy: 1.0314, recall: 0.8469, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.743, scimark_benchmark: 911.0478, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8747, f_measure: 0.8464, kappa: 0.666, kb_relative_information_score: 141.4158, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8461, predictive_accuracy: 0.8469, prior_entropy: 1.0314, recall: 0.8469, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.743, scimark_benchmark: 939.7623, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.8302, kappa: 0.627, kb_relative_information_score: 166.8497, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8318, predictive_accuracy: 0.8333, prior_entropy: 1.0314, recall: 0.8333, relative_absolute_error: 0.3802, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.823, scimark_benchmark: 942.1229, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9014, f_measure: 0.8201, kappa: 0.605, kb_relative_information_score: 165.6887, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8211, predictive_accuracy: 0.8231, prior_entropy: 1.0314, recall: 0.8231, relative_absolute_error: 0.3823, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.8263, scimark_benchmark: 926.6717, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8184, kappa: 0.6, kb_relative_information_score: 162.3135, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8222, predictive_accuracy: 0.8231, prior_entropy: 1.0314, recall: 0.8231, relative_absolute_error: 0.3956, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2539, root_relative_squared_error: 0.8361, scimark_benchmark: 876.8277, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.8184, kappa: 0.6, kb_relative_information_score: 163.978, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8222, predictive_accuracy: 0.8231, prior_entropy: 1.0314, recall: 0.8231, relative_absolute_error: 0.3903, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2556, root_relative_squared_error: 0.8416, scimark_benchmark: 939.7623, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.8076, kappa: 0.576, kb_relative_information_score: 155.8948, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8116, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.4189, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.8733, scimark_benchmark: 933.8635, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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