OpenML
Supervised Classification on dermatology

Supervised Classification on dermatology

Task 265 Supervised Classification dermatology 313 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9503, kappa: 0.9366, kb_relative_information_score: 110.9169, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9547, predictive_accuracy: 0.95, prior_entropy: 2.4378, recall: 0.95, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.3141, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9586, kappa: 0.9474, kb_relative_information_score: 109.6603, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9604, predictive_accuracy: 0.9583, prior_entropy: 2.4378, recall: 0.9583, relative_absolute_error: 0.1035, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.3126, scimark_benchmark: 851.2074, usercpu_time_millis: 520, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7661, kappa: 0.7046, kb_relative_information_score: 84.582, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.7863, predictive_accuracy: 0.7667, prior_entropy: 2.4378, recall: 0.7667, relative_absolute_error: 0.2932, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.7676, scimark_benchmark: 941.6675, usercpu_time_millis: 190, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9753, kappa: 0.9684, kb_relative_information_score: 115.7211, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9797, predictive_accuracy: 0.975, prior_entropy: 2.4378, recall: 0.975, relative_absolute_error: 0.0342, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.0605, root_relative_squared_error: 0.1666, scimark_benchmark: 938.191, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9753, kappa: 0.9684, kb_relative_information_score: 115.7211, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9797, predictive_accuracy: 0.975, prior_entropy: 2.4378, recall: 0.975, relative_absolute_error: 0.0342, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.0605, root_relative_squared_error: 0.1666, scimark_benchmark: 938.191, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9153, kappa: 0.8942, kb_relative_information_score: 104.6063, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9218, predictive_accuracy: 0.9167, prior_entropy: 2.4378, recall: 0.9167, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.3714, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9753, kappa: 0.9684, kb_relative_information_score: 115.7211, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9797, predictive_accuracy: 0.975, prior_entropy: 2.4378, recall: 0.975, relative_absolute_error: 0.0342, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.0605, root_relative_squared_error: 0.1666, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9665, kappa: 0.9578, kb_relative_information_score: 103.4036, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9676, predictive_accuracy: 0.9667, prior_entropy: 2.4378, recall: 0.9667, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.3403, scimark_benchmark: 931.771, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7661, kappa: 0.7046, kb_relative_information_score: 84.582, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.7863, predictive_accuracy: 0.7667, prior_entropy: 2.4378, recall: 0.7667, relative_absolute_error: 0.2932, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.7676, scimark_benchmark: 937.5117, usercpu_time_millis: 260, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9835, kappa: 0.9789, kb_relative_information_score: 115.6823, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9856, predictive_accuracy: 0.9833, prior_entropy: 2.4378, recall: 0.9833, relative_absolute_error: 0.0349, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.0606, root_relative_squared_error: 0.1668, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9835, kappa: 0.9789, kb_relative_information_score: 115.1261, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9856, predictive_accuracy: 0.9833, prior_entropy: 2.4378, recall: 0.9833, relative_absolute_error: 0.042, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.067, root_relative_squared_error: 0.1845, scimark_benchmark: 943.1009, usercpu_time_millis: 2470, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9665, kappa: 0.9578, kb_relative_information_score: 103.4036, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9676, predictive_accuracy: 0.9667, prior_entropy: 2.4378, recall: 0.9667, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.3403, scimark_benchmark: 943.1009, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9503, kappa: 0.9366, kb_relative_information_score: 110.9169, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9547, predictive_accuracy: 0.95, prior_entropy: 2.4378, recall: 0.95, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.3141, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9586, kappa: 0.9474, kb_relative_information_score: 109.6603, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9604, predictive_accuracy: 0.9583, prior_entropy: 2.4378, recall: 0.9583, relative_absolute_error: 0.1035, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.3126, scimark_benchmark: 936.2574, usercpu_time_millis: 470, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7661, kappa: 0.7046, kb_relative_information_score: 84.582, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.7863, predictive_accuracy: 0.7667, prior_entropy: 2.4378, recall: 0.7667, relative_absolute_error: 0.2932, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.7676, scimark_benchmark: 730.6551, usercpu_time_millis: 250, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9753, kappa: 0.9684, kb_relative_information_score: 115.7211, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9797, predictive_accuracy: 0.975, prior_entropy: 2.4378, recall: 0.975, relative_absolute_error: 0.0342, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.0605, root_relative_squared_error: 0.1666, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9753, kappa: 0.9684, kb_relative_information_score: 115.7211, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9797, predictive_accuracy: 0.975, prior_entropy: 2.4378, recall: 0.975, relative_absolute_error: 0.0342, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.0605, root_relative_squared_error: 0.1666, scimark_benchmark: 903.2737, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9153, kappa: 0.8942, kb_relative_information_score: 104.6063, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9218, predictive_accuracy: 0.9167, prior_entropy: 2.4378, recall: 0.9167, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.3714, scimark_benchmark: 941.4991, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9753, kappa: 0.9684, kb_relative_information_score: 115.7211, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9797, predictive_accuracy: 0.975, prior_entropy: 2.4378, recall: 0.975, relative_absolute_error: 0.0342, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.0605, root_relative_squared_error: 0.1666, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9665, kappa: 0.9578, kb_relative_information_score: 103.4036, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9676, predictive_accuracy: 0.9667, prior_entropy: 2.4378, recall: 0.9667, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.3403, scimark_benchmark: 901.4991, usercpu_time_millis: 70, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.983, kappa: 0.9789, kb_relative_information_score: 110.6407, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9848, predictive_accuracy: 0.9833, prior_entropy: 2.4378, recall: 0.9833, relative_absolute_error: 0.1015, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.0841, root_relative_squared_error: 0.2316, scimark_benchmark: 938.4601, usercpu_time_millis: 10550, usercpu_time_millis_testing: 3940, usercpu_time_millis_training: 6610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.983, kappa: 0.9789, kb_relative_information_score: 110.8528, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9848, predictive_accuracy: 0.9833, prior_entropy: 2.4378, recall: 0.9833, relative_absolute_error: 0.0985, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.2354, scimark_benchmark: 943.2803, usercpu_time_millis: 5980, usercpu_time_millis_testing: 2370, usercpu_time_millis_training: 3610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.983, kappa: 0.9789, kb_relative_information_score: 109.5884, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9848, predictive_accuracy: 0.9833, prior_entropy: 2.4378, recall: 0.9833, relative_absolute_error: 0.1173, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.2509, scimark_benchmark: 935.0213, usercpu_time_millis: 3000, usercpu_time_millis_testing: 1360, usercpu_time_millis_training: 1640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9661, kappa: 0.9576, kb_relative_information_score: 109.8133, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.969, predictive_accuracy: 0.9667, prior_entropy: 2.4378, recall: 0.9667, relative_absolute_error: 0.1073, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.0953, root_relative_squared_error: 0.2622, scimark_benchmark: 911.2316, usercpu_time_millis: 1520, usercpu_time_millis_testing: 630, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9832, kappa: 0.9789, kb_relative_information_score: 109.9025, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9839, predictive_accuracy: 0.9833, prior_entropy: 2.4378, recall: 0.9833, relative_absolute_error: 0.113, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.2525, scimark_benchmark: 936.7184, usercpu_time_millis: 630, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1523, kb_relative_information_score: 0.5123, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.1003, predictive_accuracy: 0.3167, prior_entropy: 2.4378, recall: 0.3167, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.3637, root_relative_squared_error: 1.001, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.3841, kappa: 0.3679, kb_relative_information_score: 43.9925, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.3082, predictive_accuracy: 0.5333, prior_entropy: 2.4378, recall: 0.5333, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.8633, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.3841, kappa: 0.3679, kb_relative_information_score: 43.9925, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.3082, predictive_accuracy: 0.5333, prior_entropy: 2.4378, recall: 0.5333, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.8633, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.3841, kappa: 0.3679, kb_relative_information_score: 43.9925, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.3082, predictive_accuracy: 0.5333, prior_entropy: 2.4378, recall: 0.5333, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.8633, scimark_benchmark: 940.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.3841, kappa: 0.3679, kb_relative_information_score: 43.9925, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.3082, predictive_accuracy: 0.5333, prior_entropy: 2.4378, recall: 0.5333, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.8633, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.3841, kappa: 0.3679, kb_relative_information_score: 43.9925, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.3082, predictive_accuracy: 0.5333, prior_entropy: 2.4378, recall: 0.5333, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.8633, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1523, kb_relative_information_score: 18.4128, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.1003, predictive_accuracy: 0.3167, prior_entropy: 2.4378, recall: 0.3167, relative_absolute_error: 0.8585, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.4773, root_relative_squared_error: 1.3136, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9747, kappa: 0.9683, kb_relative_information_score: 108.9594, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9761, predictive_accuracy: 0.975, prior_entropy: 2.4378, recall: 0.975, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1054, root_relative_squared_error: 0.2901, scimark_benchmark: 926.5859, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.983, kappa: 0.9789, kb_relative_information_score: 102.0745, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9848, predictive_accuracy: 0.9833, prior_entropy: 2.4378, recall: 0.9833, relative_absolute_error: 0.2299, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.3073, scimark_benchmark: 936.7184, usercpu_time_millis: 280, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.3841, kappa: 0.3679, kb_relative_information_score: 44.2941, mean_absolute_error: 0.1916, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.3082, predictive_accuracy: 0.5333, prior_entropy: 2.4378, recall: 0.5333, relative_absolute_error: 0.722, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.816, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9503, kappa: 0.9366, kb_relative_information_score: 110.9169, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9547, predictive_accuracy: 0.95, prior_entropy: 2.4378, recall: 0.95, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.3141, scimark_benchmark: 926.4745, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9586, kappa: 0.9474, kb_relative_information_score: 109.6603, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9604, predictive_accuracy: 0.9583, prior_entropy: 2.4378, recall: 0.9583, relative_absolute_error: 0.1035, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.3126, scimark_benchmark: 869.7548, usercpu_time_millis: 550, usercpu_time_millis_training: 550,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7661, kappa: 0.7046, kb_relative_information_score: 84.582, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.7863, predictive_accuracy: 0.7667, prior_entropy: 2.4378, recall: 0.7667, relative_absolute_error: 0.2932, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.7676, scimark_benchmark: 1306.468, usercpu_time_millis: 190, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9753, kappa: 0.9684, kb_relative_information_score: 115.7211, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9797, predictive_accuracy: 0.975, prior_entropy: 2.4378, recall: 0.975, relative_absolute_error: 0.0342, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.0605, root_relative_squared_error: 0.1666, scimark_benchmark: 1367.3264, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9665, kappa: 0.9578, kb_relative_information_score: 103.4036, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9676, predictive_accuracy: 0.9667, prior_entropy: 2.4378, recall: 0.9667, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.3403, scimark_benchmark: 1313.8988, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9753, kappa: 0.9684, kb_relative_information_score: 115.7211, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9797, predictive_accuracy: 0.975, prior_entropy: 2.4378, recall: 0.975, relative_absolute_error: 0.0342, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.0605, root_relative_squared_error: 0.1666, scimark_benchmark: 1336.156, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9665, kappa: 0.9578, kb_relative_information_score: 103.4036, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9676, predictive_accuracy: 0.9667, prior_entropy: 2.4378, recall: 0.9667, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.3403, scimark_benchmark: 1333.202, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7661, kappa: 0.7046, kb_relative_information_score: 84.582, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.7863, predictive_accuracy: 0.7667, prior_entropy: 2.4378, recall: 0.7667, relative_absolute_error: 0.2932, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.7676, scimark_benchmark: 1329.8008, usercpu_time_millis: 180, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9835, kappa: 0.9789, kb_relative_information_score: 115.6823, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9856, predictive_accuracy: 0.9833, prior_entropy: 2.4378, recall: 0.9833, relative_absolute_error: 0.0349, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.0606, root_relative_squared_error: 0.1668, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9753, kappa: 0.9684, kb_relative_information_score: 115.7211, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9797, predictive_accuracy: 0.975, prior_entropy: 2.4378, recall: 0.975, relative_absolute_error: 0.0342, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.0605, root_relative_squared_error: 0.1666, scimark_benchmark: 1297.2338, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9665, kappa: 0.9578, kb_relative_information_score: 103.4036, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9676, predictive_accuracy: 0.9667, prior_entropy: 2.4378, recall: 0.9667, relative_absolute_error: 0.2063, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.3403, scimark_benchmark: 1322.7257, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9503, kappa: 0.9366, kb_relative_information_score: 110.9169, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9547, predictive_accuracy: 0.95, prior_entropy: 2.4378, recall: 0.95, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.3141, scimark_benchmark: 1384.4422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9835, kappa: 0.9789, kb_relative_information_score: 115.6823, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9856, predictive_accuracy: 0.9833, prior_entropy: 2.4378, recall: 0.9833, relative_absolute_error: 0.0349, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.0606, root_relative_squared_error: 0.1668, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9753, kappa: 0.9684, kb_relative_information_score: 115.7211, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9797, predictive_accuracy: 0.975, prior_entropy: 2.4378, recall: 0.975, relative_absolute_error: 0.0342, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.0605, root_relative_squared_error: 0.1666, scimark_benchmark: 918.0213, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9753, kappa: 0.9684, kb_relative_information_score: 115.7211, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9797, predictive_accuracy: 0.975, prior_entropy: 2.4378, recall: 0.975, relative_absolute_error: 0.0342, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.0605, root_relative_squared_error: 0.1666, scimark_benchmark: 1288.1375, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9153, kappa: 0.8942, kb_relative_information_score: 104.6063, mean_absolute_error: 0.0408, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9218, predictive_accuracy: 0.9167, prior_entropy: 2.4378, recall: 0.9167, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.1349, root_relative_squared_error: 0.3714, scimark_benchmark: 918.0213, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9835, kappa: 0.9789, kb_relative_information_score: 115.1261, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9856, predictive_accuracy: 0.9833, prior_entropy: 2.4378, recall: 0.9833, relative_absolute_error: 0.042, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.067, root_relative_squared_error: 0.1845, scimark_benchmark: 1328.1857, usercpu_time_millis: 2680, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7661, kappa: 0.7046, kb_relative_information_score: 84.582, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.7863, predictive_accuracy: 0.7667, prior_entropy: 2.4378, recall: 0.7667, relative_absolute_error: 0.2932, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.7676, scimark_benchmark: 1347.993, usercpu_time_millis: 170, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7661, kappa: 0.7046, kb_relative_information_score: 84.582, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.7863, predictive_accuracy: 0.7667, prior_entropy: 2.4378, recall: 0.7667, relative_absolute_error: 0.2932, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.7676, scimark_benchmark: 1315.933, usercpu_time_millis: 230, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9753, kappa: 0.9684, kb_relative_information_score: 115.7211, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9797, predictive_accuracy: 0.975, prior_entropy: 2.4378, recall: 0.975, relative_absolute_error: 0.0342, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.0605, root_relative_squared_error: 0.1666, scimark_benchmark: 933.1165, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9835, kappa: 0.9789, kb_relative_information_score: 115.6823, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9856, predictive_accuracy: 0.9833, prior_entropy: 2.4378, recall: 0.9833, relative_absolute_error: 0.0349, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.0606, root_relative_squared_error: 0.1668, scimark_benchmark: 1322.7383, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9753, kappa: 0.9684, kb_relative_information_score: 115.7211, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9797, predictive_accuracy: 0.975, prior_entropy: 2.4378, recall: 0.975, relative_absolute_error: 0.0342, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.0605, root_relative_squared_error: 0.1666, scimark_benchmark: 1322.7383, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9753, kappa: 0.9684, kb_relative_information_score: 115.7211, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9797, predictive_accuracy: 0.975, prior_entropy: 2.4378, recall: 0.975, relative_absolute_error: 0.0342, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.0605, root_relative_squared_error: 0.1666, scimark_benchmark: 1322.7383, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9753, kappa: 0.9684, kb_relative_information_score: 115.7211, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9797, predictive_accuracy: 0.975, prior_entropy: 2.4378, recall: 0.975, relative_absolute_error: 0.0342, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.0605, root_relative_squared_error: 0.1666, scimark_benchmark: 1322.7383, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7661, kappa: 0.7046, kb_relative_information_score: 84.582, mean_absolute_error: 0.0778, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.7863, predictive_accuracy: 0.7667, prior_entropy: 2.4378, recall: 0.7667, relative_absolute_error: 0.2932, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.2789, root_relative_squared_error: 0.7676, scimark_benchmark: 1343.4596, usercpu_time_millis: 180, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9835, kappa: 0.9789, kb_relative_information_score: 115.6823, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.2653, number_of_instances: 120, precision: 0.9856, predictive_accuracy: 0.9833, prior_entropy: 2.4378, recall: 0.9833, relative_absolute_error: 0.0349, root_mean_prior_squared_error: 0.3633, root_mean_squared_error: 0.0606, root_relative_squared_error: 0.1668, scimark_benchmark: 933.1165,

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