Task
Supervised Classification on steel-plates-fault

Supervised Classification on steel-plates-fault

Task 9967 Supervised Classification steel-plates-fault 142878 runs submitted
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  • OpenML100 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.5163, kb_relative_information_score: -0.1772, mean_absolute_error: 0.4531, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4759, root_relative_squared_error: 1, scimark_benchmark: 1241.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9425, kappa: 0.8734, kb_relative_information_score: 1542.0833, mean_absolute_error: 0.0991, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9428, predictive_accuracy: 0.9423, prior_entropy: 0.9313, recall: 0.9423, relative_absolute_error: 0.2186, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4576, scimark_benchmark: 1230.3004, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.5699, kappa: 0.2674, kb_relative_information_score: 200.4977, mean_absolute_error: 0.3803, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7674, predictive_accuracy: 0.5822, prior_entropy: 0.9313, recall: 0.5822, relative_absolute_error: 0.8394, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5698, root_relative_squared_error: 1.1973, scimark_benchmark: 1230.3004, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.5699, kappa: 0.2674, kb_relative_information_score: 200.4977, mean_absolute_error: 0.3803, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7674, predictive_accuracy: 0.5822, prior_entropy: 0.9313, recall: 0.5822, relative_absolute_error: 0.8394, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5698, root_relative_squared_error: 1.1973, scimark_benchmark: 1230.3004, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6402, f_measure: 0.5163, kb_relative_information_score: 181.4158, mean_absolute_error: 0.3934, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.8684, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.9315, scimark_benchmark: 479.2609, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9954, kappa: 0.9897, kb_relative_information_score: 1919.7654, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 0.9313, recall: 0.9954, relative_absolute_error: 0.0104, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0678, root_relative_squared_error: 0.1425, scimark_benchmark: 473.1656, usercpu_time_millis: 150, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759, scimark_benchmark: 473.1656, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6997, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0, root_relative_squared_error: 0, scimark_benchmark: 1254.1389, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9974, kappa: 0.9943, kb_relative_information_score: 1927.4873, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.9313, recall: 0.9974, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0507, root_relative_squared_error: 0.1066, scimark_benchmark: 473.1656, usercpu_time_millis: 3510, usercpu_time_millis_testing: 3500, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9184, kappa: 0.8221, kb_relative_information_score: 1413.363, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9214, predictive_accuracy: 0.9176, prior_entropy: 0.9313, recall: 0.9176, relative_absolute_error: 0.283, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2548, root_relative_squared_error: 0.5354, scimark_benchmark: 1207.7448, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759, scimark_benchmark: 1222.5105, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9974, kappa: 0.9943, kb_relative_information_score: 1927.4873, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.9313, recall: 0.9974, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0507, root_relative_squared_error: 0.1066, scimark_benchmark: 1193.006, usercpu_time_millis: 890, usercpu_time_millis_testing: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759, scimark_benchmark: 1255.46, usercpu_time_millis: 860, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1912.3402, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9313, recall: 0.9995, relative_absolute_error: 0.0201, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0219, root_relative_squared_error: 0.0459, scimark_benchmark: 1250.751, usercpu_time_millis: 160950, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 160910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1934.2946, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9313, recall: 0.9995, relative_absolute_error: 0.0041, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0222, root_relative_squared_error: 0.0466, scimark_benchmark: 474.8526, usercpu_time_millis: 35780, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 35680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5163, kb_relative_information_score: 392.6774, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5888, root_relative_squared_error: 1.2372, usercpu_time_millis: 2.938, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 2.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759, usercpu_time_millis: 49.327, usercpu_time_millis_testing: 3.405, usercpu_time_millis_training: 45.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759, usercpu_time_millis: 3.296, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 3.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5637, f_measure: 0.6142, kappa: 0.1334, kb_relative_information_score: 266.1674, mean_absolute_error: 0.3751, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6089, predictive_accuracy: 0.6249, prior_entropy: 0.9313, recall: 0.6249, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2868, usercpu_time_millis: 6.043, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 5.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759, usercpu_time_millis: 18.755, usercpu_time_millis_testing: 0.321, usercpu_time_millis_training: 18.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9902, kappa: 0.9785, kb_relative_information_score: 1896.9964, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9903, predictive_accuracy: 0.9902, prior_entropy: 0.9313, recall: 0.9902, relative_absolute_error: 0.0216, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0989, root_relative_squared_error: 0.2079, usercpu_time_millis: 99.669, usercpu_time_millis_testing: 20.488, usercpu_time_millis_training: 79.181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759, usercpu_time_millis: 292.333, usercpu_time_millis_testing: 7.198, usercpu_time_millis_training: 285.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759, usercpu_time_millis: 2.371, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 2.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5163, kb_relative_information_score: 392.6774, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5888, root_relative_squared_error: 1.2372, usercpu_time_millis: 1.351, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 1.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1936.0995, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0321, root_relative_squared_error: 0.0674, usercpu_time_millis: 4.795, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 4.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5163, kb_relative_information_score: 392.6774, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5888, root_relative_squared_error: 1.2372, usercpu_time_millis: 2.184, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 2.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759, usercpu_time_millis: 3.674, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 3.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759, usercpu_time_millis: 1.12, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 0.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.6981, kappa: 0.3191, kb_relative_information_score: 647.9976, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6984, predictive_accuracy: 0.7105, prior_entropy: 0.9313, recall: 0.7105, relative_absolute_error: 0.6391, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5381, root_relative_squared_error: 1.1306, usercpu_time_millis: 7.35, usercpu_time_millis_testing: 1.497, usercpu_time_millis_training: 5.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9974, kappa: 0.9943, kb_relative_information_score: 1929.1989, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.9313, recall: 0.9974, relative_absolute_error: 0.0057, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0508, root_relative_squared_error: 0.1066, usercpu_time_millis: 5.311, usercpu_time_millis_testing: 1.041, usercpu_time_millis_training: 4.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759, usercpu_time_millis: 2.911, usercpu_time_millis_testing: 0.566, usercpu_time_millis_training: 2.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759, usercpu_time_millis: 2.684, usercpu_time_millis_testing: 0.795, usercpu_time_millis_training: 1.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9882, kappa: 0.9739, kb_relative_information_score: 1887.7956, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9882, predictive_accuracy: 0.9882, prior_entropy: 0.9313, recall: 0.9882, relative_absolute_error: 0.0262, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.1089, root_relative_squared_error: 0.2287, usercpu_time_millis: 1.45, usercpu_time_millis_testing: 1.423, usercpu_time_millis_training: 0.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9979, kappa: 0.9954, kb_relative_information_score: 1931.4991, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.9313, recall: 0.9979, relative_absolute_error: 0.0045, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0454, root_relative_squared_error: 0.0954, usercpu_time_millis: 2.99, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 2.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.999, kappa: 0.9977, kb_relative_information_score: 1936.0995, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.999, predictive_accuracy: 0.999, prior_entropy: 0.9313, recall: 0.999, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0321, root_relative_squared_error: 0.0674, usercpu_time_millis: 0.18, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.7546, kappa: 0.446, kb_relative_information_score: 894.117, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7603, predictive_accuracy: 0.7656, prior_entropy: 0.9313, recall: 0.7656, relative_absolute_error: 0.5174, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4842, root_relative_squared_error: 1.0173, usercpu_time_millis: 0.92, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5163, kb_relative_information_score: 392.6774, mean_absolute_error: 0.3467, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.4268, predictive_accuracy: 0.6533, prior_entropy: 0.9313, recall: 0.6533, relative_absolute_error: 0.7653, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5888, root_relative_squared_error: 1.2372, usercpu_time_millis: 0.123, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759, usercpu_time_millis: 3.397, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 3.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759, usercpu_time_millis: 7.148, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 7.126,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5491, f_measure: 0.3116, kappa: 0.0705, kb_relative_information_score: -679.2074, mean_absolute_error: 0.5868, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7583, predictive_accuracy: 0.4132, prior_entropy: 0.9313, recall: 0.4132, relative_absolute_error: 1.2952, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.766, root_relative_squared_error: 1.6096, usercpu_time_millis: 3.33, usercpu_time_millis_testing: 2.77, usercpu_time_millis_training: 0.56,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9902, kappa: 0.9785, kb_relative_information_score: 1881.9971, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9905, predictive_accuracy: 0.9902, prior_entropy: 0.9313, recall: 0.9902, relative_absolute_error: 0.031, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.1813, scimark_benchmark: 909.7214, usercpu_time_millis: 520, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9902, kappa: 0.9785, kb_relative_information_score: 1881.6504, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9905, predictive_accuracy: 0.9902, prior_entropy: 0.9313, recall: 0.9902, relative_absolute_error: 0.0312, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.1817, scimark_benchmark: 1258.6913, usercpu_time_millis: 320, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9979, kappa: 0.9955, kb_relative_information_score: 1923.287, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.998, predictive_accuracy: 0.9979, prior_entropy: 0.9313, recall: 0.9979, relative_absolute_error: 0.0086, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0532, root_relative_squared_error: 0.1118, scimark_benchmark: 1215.7375, usercpu_time_millis: 1400, usercpu_time_millis_testing: 1390, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9902, kappa: 0.9785, kb_relative_information_score: 1881.6315, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9905, predictive_accuracy: 0.9902, prior_entropy: 0.9313, recall: 0.9902, relative_absolute_error: 0.0313, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.1813, scimark_benchmark: 1095.0995, usercpu_time_millis: 560, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9949, kappa: 0.9887, kb_relative_information_score: 1903.9393, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9949, predictive_accuracy: 0.9948, prior_entropy: 0.9313, recall: 0.9948, relative_absolute_error: 0.0213, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0684, root_relative_squared_error: 0.1436, scimark_benchmark: 525.6357, usercpu_time_millis: 2200, usercpu_time_millis_training: 2200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1852.841, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0616, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0485, root_relative_squared_error: 0.1019, scimark_benchmark: 799.9385, usercpu_time_millis: 1940, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9902, kappa: 0.9785, kb_relative_information_score: 1874.8239, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9905, predictive_accuracy: 0.9902, prior_entropy: 0.9313, recall: 0.9902, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.1999, scimark_benchmark: 710.0202, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.9357, kappa: 0.8617, kb_relative_information_score: 1517.0883, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.945, predictive_accuracy: 0.9346, prior_entropy: 0.9313, recall: 0.9346, relative_absolute_error: 0.2342, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.4941, scimark_benchmark: 940.3507, usercpu_time_millis: 970, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759, scimark_benchmark: 925.9546, usercpu_time_millis: 1780, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 1580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1940.6998, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, root_mean_prior_squared_error: 0.4759, scimark_benchmark: 940.0109, usercpu_time_millis: 170, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9974, kappa: 0.9943, kb_relative_information_score: 1926.3478, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.9313, recall: 0.9974, relative_absolute_error: 0.0074, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.052, root_relative_squared_error: 0.1092, scimark_benchmark: 930.1844, usercpu_time_millis: 1110, usercpu_time_millis_testing: 1060, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.5699, kappa: 0.2674, kb_relative_information_score: 200.4977, mean_absolute_error: 0.3803, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7674, predictive_accuracy: 0.5822, prior_entropy: 0.9313, recall: 0.5822, relative_absolute_error: 0.8394, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5698, root_relative_squared_error: 1.1973, scimark_benchmark: 935.6931, usercpu_time_millis: 100, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9995, kappa: 0.9989, kb_relative_information_score: 1937.7358, mean_absolute_error: 0.0007, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.9995, predictive_accuracy: 0.9995, prior_entropy: 0.9313, recall: 0.9995, relative_absolute_error: 0.0016, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.023, root_relative_squared_error: 0.0482, scimark_benchmark: 949.2748, usercpu_time_millis: 250, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1898.0559, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0304, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0282, root_relative_squared_error: 0.0593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1898.0559, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9313, recall: 1, relative_absolute_error: 0.0304, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.0282, root_relative_squared_error: 0.0593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.5699, kappa: 0.2674, kb_relative_information_score: 200.4977, mean_absolute_error: 0.3803, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.7674, predictive_accuracy: 0.5822, prior_entropy: 0.9313, recall: 0.5822, relative_absolute_error: 0.8394, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5698, root_relative_squared_error: 1.1973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, f_measure: 0.8567, kappa: 0.7052, kb_relative_information_score: 683.2093, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.8969, predictive_accuracy: 0.8532, prior_entropy: 0.9313, recall: 0.8532, relative_absolute_error: 0.6862, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.3564, root_relative_squared_error: 0.7489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5635, f_measure: 0.6161, kappa: 0.1348, kb_relative_information_score: 291.4694, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.4531, number_of_instances: 1941, precision: 0.6106, predictive_accuracy: 0.6306, prior_entropy: 0.9313, recall: 0.6306, relative_absolute_error: 0.8153, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.6078, root_relative_squared_error: 1.277,

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