OpenML
Supervised Classification on ar4

Supervised Classification on ar4

Task 4616 Supervised Classification ar4 205 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6711, f_measure: 0.7876, kappa: 0.2644, kb_relative_information_score: 141.2697, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.7796, predictive_accuracy: 0.8009, prior_entropy: 0.707, recall: 0.8009, relative_absolute_error: 0.8023, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3982, root_relative_squared_error: 1.0214, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.829, f_measure: 0.8299, kappa: 0.4259, kb_relative_information_score: 237.5898, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8265, predictive_accuracy: 0.8346, prior_entropy: 0.707, recall: 0.8346, relative_absolute_error: 0.6732, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.8846, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.8114, kappa: 0.3972, kb_relative_information_score: 237.7052, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8176, predictive_accuracy: 0.8065, prior_entropy: 0.707, recall: 0.8065, relative_absolute_error: 0.6656, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.9887, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7293, kb_relative_information_score: 292.5928, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.6611, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4323, root_relative_squared_error: 1.1089, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.8141, kappa: 0.3921, kb_relative_information_score: 249.7652, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8153, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.9993, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.8141, kappa: 0.3921, kb_relative_information_score: 249.7652, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8153, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.9993, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.8258, kappa: 0.3877, kb_relative_information_score: 192.7423, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8234, predictive_accuracy: 0.8411, prior_entropy: 0.707, recall: 0.8411, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.876, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.8255, kappa: 0.392, kb_relative_information_score: 222.3931, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8218, predictive_accuracy: 0.8383, prior_entropy: 0.707, recall: 0.8383, relative_absolute_error: 0.7028, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.352, root_relative_squared_error: 0.9027, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6679, f_measure: 0.7919, kappa: 0.2941, kb_relative_information_score: 133.4589, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.7865, predictive_accuracy: 0.7991, prior_entropy: 0.707, recall: 0.7991, relative_absolute_error: 0.7803, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4102, root_relative_squared_error: 1.0522, scimark_benchmark: 944.1067, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7293, kb_relative_information_score: 292.5928, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.6611, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4323, root_relative_squared_error: 1.1089, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7293, kb_relative_information_score: 292.5928, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.6611, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4323, root_relative_squared_error: 1.1089, scimark_benchmark: 936.3373, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.8141, kappa: 0.3921, kb_relative_information_score: 249.7652, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8153, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.9993, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.8218, kappa: 0.3684, kb_relative_information_score: 220.0957, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8209, predictive_accuracy: 0.8402, prior_entropy: 0.707, recall: 0.8402, relative_absolute_error: 0.724, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.8852, scimark_benchmark: 943.1009, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6711, f_measure: 0.7876, kappa: 0.2644, kb_relative_information_score: 141.2697, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.7796, predictive_accuracy: 0.8009, prior_entropy: 0.707, recall: 0.8009, relative_absolute_error: 0.8023, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3982, root_relative_squared_error: 1.0214, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8299, f_measure: 0.8306, kappa: 0.428, kb_relative_information_score: 241.7828, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8272, predictive_accuracy: 0.8355, prior_entropy: 0.707, recall: 0.8355, relative_absolute_error: 0.671, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.8824, scimark_benchmark: 901.6243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.8114, kappa: 0.3972, kb_relative_information_score: 237.7052, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8176, predictive_accuracy: 0.8065, prior_entropy: 0.707, recall: 0.8065, relative_absolute_error: 0.6656, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.9887, scimark_benchmark: 938.1282, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7293, kb_relative_information_score: 292.5928, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.6611, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4323, root_relative_squared_error: 1.1089, scimark_benchmark: 930.404, 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: 0.7293, kb_relative_information_score: 292.5928, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.6611, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4323, root_relative_squared_error: 1.1089, scimark_benchmark: 906.0979, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.812, kappa: 0.3779, kb_relative_information_score: 287.1298, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8109, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6047, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4212, root_relative_squared_error: 1.0803, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.8141, kappa: 0.3921, kb_relative_information_score: 249.7652, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8153, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.9993, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.8141, kappa: 0.3921, kb_relative_information_score: 249.7652, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8153, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.9993, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.8141, kappa: 0.3921, kb_relative_information_score: 249.7652, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8153, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.9993, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.8258, kappa: 0.3877, kb_relative_information_score: 192.7423, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8234, predictive_accuracy: 0.8411, prior_entropy: 0.707, recall: 0.8411, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.876, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.8255, kappa: 0.392, kb_relative_information_score: 222.3931, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8218, predictive_accuracy: 0.8383, prior_entropy: 0.707, recall: 0.8383, relative_absolute_error: 0.7028, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.352, root_relative_squared_error: 0.9027, scimark_benchmark: 930.404, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.8141, kappa: 0.3921, kb_relative_information_score: 249.7652, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8153, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.9993, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.8218, kappa: 0.3684, kb_relative_information_score: 220.0957, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8209, predictive_accuracy: 0.8402, prior_entropy: 0.707, recall: 0.8402, relative_absolute_error: 0.724, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.8852, scimark_benchmark: 1051.249, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.8195, kappa: 0.3618, kb_relative_information_score: 168.8975, mean_absolute_error: 0.2295, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8175, predictive_accuracy: 0.8374, prior_entropy: 0.707, recall: 0.8374, relative_absolute_error: 0.7461, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.354, root_relative_squared_error: 0.9079, scimark_benchmark: 819.5729, usercpu_time_millis: 1580, usercpu_time_millis_testing: 720, usercpu_time_millis_training: 860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7942, f_measure: 0.818, kappa: 0.3574, kb_relative_information_score: 171.3952, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8154, predictive_accuracy: 0.8355, prior_entropy: 0.707, recall: 0.8355, relative_absolute_error: 0.7456, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.9107, scimark_benchmark: 833.4972, usercpu_time_millis: 850, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.785, f_measure: 0.8169, kappa: 0.3515, kb_relative_information_score: 167.3324, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8148, predictive_accuracy: 0.8355, prior_entropy: 0.707, recall: 0.8355, relative_absolute_error: 0.7485, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.357, root_relative_squared_error: 0.9158, scimark_benchmark: 936.2727, usercpu_time_millis: 330, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7764, f_measure: 0.8143, kappa: 0.3466, kb_relative_information_score: 156.2431, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8102, predictive_accuracy: 0.8308, prior_entropy: 0.707, recall: 0.8308, relative_absolute_error: 0.752, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.9191, scimark_benchmark: 917.2109, usercpu_time_millis: 160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7705, f_measure: 0.8107, kappa: 0.3407, kb_relative_information_score: 166.5492, mean_absolute_error: 0.2288, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8051, predictive_accuracy: 0.8243, prior_entropy: 0.707, recall: 0.8243, relative_absolute_error: 0.7439, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.9255, scimark_benchmark: 920.5394, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.8335, kappa: 0.4549, kb_relative_information_score: 354.6528, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8343, predictive_accuracy: 0.8327, prior_entropy: 0.707, recall: 0.8327, relative_absolute_error: 0.5701, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.8455, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.8335, kappa: 0.4549, kb_relative_information_score: 354.6528, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8343, predictive_accuracy: 0.8327, prior_entropy: 0.707, recall: 0.8327, relative_absolute_error: 0.5701, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.8455, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.8335, kappa: 0.4549, kb_relative_information_score: 354.6528, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8343, predictive_accuracy: 0.8327, prior_entropy: 0.707, recall: 0.8327, relative_absolute_error: 0.5701, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.8455, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.8335, kappa: 0.4549, kb_relative_information_score: 354.6528, mean_absolute_error: 0.1753, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8343, predictive_accuracy: 0.8327, prior_entropy: 0.707, recall: 0.8327, relative_absolute_error: 0.5701, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3297, root_relative_squared_error: 0.8455, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8326, f_measure: 0.8343, kappa: 0.4569, kb_relative_information_score: 356.1736, mean_absolute_error: 0.1748, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8349, predictive_accuracy: 0.8336, prior_entropy: 0.707, recall: 0.8336, relative_absolute_error: 0.5685, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3285, root_relative_squared_error: 0.8426, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4879, f_measure: 0.7293, kb_relative_information_score: -5.9613, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.6611, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3899, root_relative_squared_error: 1.0001, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.8256, kappa: 0.3986, kb_relative_information_score: 374.3552, mean_absolute_error: 0.1665, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8212, predictive_accuracy: 0.8355, prior_entropy: 0.707, recall: 0.8355, relative_absolute_error: 0.5413, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.398, root_relative_squared_error: 1.0208, scimark_benchmark: 929.0296, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.8271, kappa: 0.4029, kb_relative_information_score: 388.2355, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8229, predictive_accuracy: 0.8374, prior_entropy: 0.707, recall: 0.8374, relative_absolute_error: 0.5292, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3908, root_relative_squared_error: 1.0025, scimark_benchmark: 929.0296, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.8309, kappa: 0.4198, kb_relative_information_score: 383.3588, mean_absolute_error: 0.1641, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8268, predictive_accuracy: 0.8393, prior_entropy: 0.707, recall: 0.8393, relative_absolute_error: 0.5337, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3888, root_relative_squared_error: 0.9971, scimark_benchmark: 936.1714, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.8141, kappa: 0.3921, kb_relative_information_score: 249.7652, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8153, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.9993, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.8141, kappa: 0.3921, kb_relative_information_score: 249.7652, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8153, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.9993, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.812, kappa: 0.3779, kb_relative_information_score: 287.1298, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8109, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6047, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4212, root_relative_squared_error: 1.0803, scimark_benchmark: 1331.2559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.8141, kappa: 0.3921, kb_relative_information_score: 249.7652, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8153, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.9993, scimark_benchmark: 1313.11, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.8141, kappa: 0.3921, kb_relative_information_score: 249.7652, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8153, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.9993, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.8141, kappa: 0.3921, kb_relative_information_score: 249.7652, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8153, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.9993, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.8141, kappa: 0.3921, kb_relative_information_score: 249.7652, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8153, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.9993, scimark_benchmark: 1337.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.8255, kappa: 0.392, kb_relative_information_score: 222.3931, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8218, predictive_accuracy: 0.8383, prior_entropy: 0.707, recall: 0.8383, relative_absolute_error: 0.7028, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.352, root_relative_squared_error: 0.9027, scimark_benchmark: 1318.4315, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.8141, kappa: 0.3921, kb_relative_information_score: 249.7652, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8153, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.9993, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7293, kb_relative_information_score: 292.5928, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.6611, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4323, root_relative_squared_error: 1.1089, scimark_benchmark: 1334.863, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.8141, kappa: 0.3921, kb_relative_information_score: 249.7652, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8153, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.9993, scimark_benchmark: 1325.4787, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6679, f_measure: 0.7919, kappa: 0.2941, kb_relative_information_score: 133.4589, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.7865, predictive_accuracy: 0.7991, prior_entropy: 0.707, recall: 0.7991, relative_absolute_error: 0.7803, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4102, root_relative_squared_error: 1.0522, scimark_benchmark: 1332.9478, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.8218, kappa: 0.3684, kb_relative_information_score: 220.0957, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8209, predictive_accuracy: 0.8402, prior_entropy: 0.707, recall: 0.8402, relative_absolute_error: 0.724, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.8852, scimark_benchmark: 1340.9749, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7122, f_measure: 0.7969, kappa: 0.3166, kb_relative_information_score: 160.9371, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.7929, predictive_accuracy: 0.8019, prior_entropy: 0.707, recall: 0.8019, relative_absolute_error: 0.7296, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3954, root_relative_squared_error: 1.0142, scimark_benchmark: 1367.3264, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.8125, kappa: 0.4012, kb_relative_information_score: 239.527, mean_absolute_error: 0.2043, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8189, predictive_accuracy: 0.8075, prior_entropy: 0.707, recall: 0.8075, relative_absolute_error: 0.6644, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.9876, scimark_benchmark: 1321.4771, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7293, kb_relative_information_score: 292.5928, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.6611, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4323, root_relative_squared_error: 1.1089, scimark_benchmark: 1269.8433, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.812, kappa: 0.3779, kb_relative_information_score: 287.1298, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8109, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6047, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.4212, root_relative_squared_error: 1.0803, scimark_benchmark: 1306.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.797, f_measure: 0.8141, kappa: 0.3921, kb_relative_information_score: 249.7652, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8153, predictive_accuracy: 0.8131, prior_entropy: 0.707, recall: 0.8131, relative_absolute_error: 0.6365, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.9993, scimark_benchmark: 1333.9912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8096, f_measure: 0.8258, kappa: 0.3877, kb_relative_information_score: 192.7423, mean_absolute_error: 0.2324, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8234, predictive_accuracy: 0.8411, prior_entropy: 0.707, recall: 0.8411, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.3415, root_relative_squared_error: 0.876, scimark_benchmark: 1322.2005, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7756, f_measure: 0.8255, kappa: 0.392, kb_relative_information_score: 222.3931, mean_absolute_error: 0.2162, mean_prior_absolute_error: 0.3076, number_of_instances: 1070, precision: 0.8218, predictive_accuracy: 0.8383, prior_entropy: 0.707, recall: 0.8383, relative_absolute_error: 0.7028, root_mean_prior_squared_error: 0.3899, root_mean_squared_error: 0.352, root_relative_squared_error: 0.9027, scimark_benchmark: 1371.174, usercpu_time_millis: 140, usercpu_time_millis_training: 140,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs