Task
Supervised Classification on pol

Supervised Classification on pol

Task 4293 Supervised Classification pol 204 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9595, kappa: 0.9093, kb_relative_information_score: 131792.6589, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.921, recall: 0.9596, relative_absolute_error: 0.1257, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.386, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.941, kappa: 0.8663, kb_relative_information_score: 107811.2323, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9428, predictive_accuracy: 0.9418, prior_entropy: 0.921, recall: 0.9418, relative_absolute_error: 0.3095, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4643, scimark_benchmark: 972.587, usercpu_time_millis: 3980, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9393, kappa: 0.8624, kb_relative_information_score: 116864.4817, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9413, predictive_accuracy: 0.9402, prior_entropy: 0.921, recall: 0.9402, relative_absolute_error: 0.2435, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.4475, scimark_benchmark: 934.3687, usercpu_time_millis: 10310, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9414, kappa: 0.8689, kb_relative_information_score: 119630.912, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9416, predictive_accuracy: 0.9412, prior_entropy: 0.921, recall: 0.9412, relative_absolute_error: 0.2142, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4441, scimark_benchmark: 941.6675, usercpu_time_millis: 910, usercpu_time_millis_testing: 570, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9813, kappa: 0.958, kb_relative_information_score: 139872.2594, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9813, predictive_accuracy: 0.9813, prior_entropy: 0.921, recall: 0.9813, relative_absolute_error: 0.0721, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.2479, scimark_benchmark: 938.191, usercpu_time_millis: 6400, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 6360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.872, kappa: 0.7053, kb_relative_information_score: 107659.4461, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.8972, predictive_accuracy: 0.8799, prior_entropy: 0.921, recall: 0.8799, relative_absolute_error: 0.2692, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.7337, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.872, kappa: 0.7053, kb_relative_information_score: 107659.4461, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.8972, predictive_accuracy: 0.8799, prior_entropy: 0.921, recall: 0.8799, relative_absolute_error: 0.2692, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.7337, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9414, kappa: 0.8689, kb_relative_information_score: 119630.912, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9416, predictive_accuracy: 0.9412, prior_entropy: 0.921, recall: 0.9412, relative_absolute_error: 0.2142, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4441, scimark_benchmark: 941.3847, usercpu_time_millis: 760, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9414, kappa: 0.8689, kb_relative_information_score: 119630.912, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9416, predictive_accuracy: 0.9412, prior_entropy: 0.921, recall: 0.9412, relative_absolute_error: 0.2142, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4441, scimark_benchmark: 941.3847, usercpu_time_millis: 760, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9856, kappa: 0.9676, kb_relative_information_score: 136736.6497, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.921, recall: 0.9856, relative_absolute_error: 0.1028, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.115, root_relative_squared_error: 0.2434, scimark_benchmark: 943.1009, usercpu_time_millis: 12070, usercpu_time_millis_testing: 800, usercpu_time_millis_training: 11270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9408, kappa: 0.8678, kb_relative_information_score: 123303.5824, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9411, predictive_accuracy: 0.9407, prior_entropy: 0.921, recall: 0.9407, relative_absolute_error: 0.1818, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4468, scimark_benchmark: 974.2014, usercpu_time_millis: 1510, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9595, kappa: 0.9093, kb_relative_information_score: 131792.6589, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.921, recall: 0.9596, relative_absolute_error: 0.1257, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.386, scimark_benchmark: 942.2392, usercpu_time_millis: 590, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.941, kappa: 0.8663, kb_relative_information_score: 107811.2323, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9428, predictive_accuracy: 0.9418, prior_entropy: 0.921, recall: 0.9418, relative_absolute_error: 0.3095, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4643, scimark_benchmark: 908.9569, usercpu_time_millis: 8830, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 8820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9393, kappa: 0.8624, kb_relative_information_score: 116864.4817, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9413, predictive_accuracy: 0.9402, prior_entropy: 0.921, recall: 0.9402, relative_absolute_error: 0.2435, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.4475, scimark_benchmark: 938.1282, usercpu_time_millis: 10800, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.872, kappa: 0.7053, kb_relative_information_score: 107659.4461, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.8972, predictive_accuracy: 0.8799, prior_entropy: 0.921, recall: 0.8799, relative_absolute_error: 0.2692, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.7337, scimark_benchmark: 906.0979, usercpu_time_millis: 278620, usercpu_time_millis_testing: 50050, usercpu_time_millis_training: 228570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9294, kappa: 0.8416, kb_relative_information_score: 116009.0529, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9293, predictive_accuracy: 0.9295, prior_entropy: 0.921, recall: 0.9295, relative_absolute_error: 0.2347, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.5011, scimark_benchmark: 938.1282, usercpu_time_millis: 460, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9414, kappa: 0.8689, kb_relative_information_score: 119630.912, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9416, predictive_accuracy: 0.9412, prior_entropy: 0.921, recall: 0.9412, relative_absolute_error: 0.2142, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4441, scimark_benchmark: 930.404, usercpu_time_millis: 920, usercpu_time_millis_testing: 580, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9813, kappa: 0.958, kb_relative_information_score: 139872.2594, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9813, predictive_accuracy: 0.9813, prior_entropy: 0.921, recall: 0.9813, relative_absolute_error: 0.0721, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.2479, scimark_benchmark: 903.2737, usercpu_time_millis: 5780, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 5740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9414, kappa: 0.8689, kb_relative_information_score: 119630.912, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9416, predictive_accuracy: 0.9412, prior_entropy: 0.921, recall: 0.9412, relative_absolute_error: 0.2142, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4441, scimark_benchmark: 936.9595, usercpu_time_millis: 880, usercpu_time_millis_testing: 580, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9856, kappa: 0.9676, kb_relative_information_score: 136736.6497, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.921, recall: 0.9856, relative_absolute_error: 0.1028, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.115, root_relative_squared_error: 0.2434, scimark_benchmark: 936.9595, usercpu_time_millis: 13030, usercpu_time_millis_testing: 700, usercpu_time_millis_training: 12330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.988, kappa: 0.9731, kb_relative_information_score: 139925.0447, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.988, predictive_accuracy: 0.988, prior_entropy: 0.921, recall: 0.988, relative_absolute_error: 0.0772, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.2157, scimark_benchmark: 931.7096, usercpu_time_millis: 356840, usercpu_time_millis_testing: 109420, usercpu_time_millis_training: 247420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9879, kappa: 0.9727, kb_relative_information_score: 139927.0686, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9879, predictive_accuracy: 0.9879, prior_entropy: 0.921, recall: 0.9879, relative_absolute_error: 0.0771, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.1023, root_relative_squared_error: 0.2167, scimark_benchmark: 906.5979, usercpu_time_millis: 153150, usercpu_time_millis_testing: 38880, usercpu_time_millis_training: 114270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9877, kappa: 0.9723, kb_relative_information_score: 139904.9553, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9877, predictive_accuracy: 0.9877, prior_entropy: 0.921, recall: 0.9877, relative_absolute_error: 0.077, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.1034, root_relative_squared_error: 0.2189, scimark_benchmark: 933.9243, usercpu_time_millis: 61740, usercpu_time_millis_testing: 8420, usercpu_time_millis_training: 53320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.987, kappa: 0.9708, kb_relative_information_score: 139767.0057, mean_absolute_error: 0.0345, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.987, predictive_accuracy: 0.987, prior_entropy: 0.921, recall: 0.987, relative_absolute_error: 0.0774, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.2242, scimark_benchmark: 922.613, usercpu_time_millis: 32800, usercpu_time_millis_testing: 3960, usercpu_time_millis_training: 28840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9853, kappa: 0.9671, kb_relative_information_score: 139597.9095, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9853, predictive_accuracy: 0.9853, prior_entropy: 0.921, recall: 0.9853, relative_absolute_error: 0.0775, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.1103, root_relative_squared_error: 0.2335, scimark_benchmark: 935.0213, usercpu_time_millis: 18520, usercpu_time_millis_testing: 1950, usercpu_time_millis_training: 16570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9408, kappa: 0.8678, kb_relative_information_score: 123303.5824, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9411, predictive_accuracy: 0.9407, prior_entropy: 0.921, recall: 0.9407, relative_absolute_error: 0.1818, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4468, scimark_benchmark: 929.0296, usercpu_time_millis: 3230, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9408, kappa: 0.8678, kb_relative_information_score: 123303.5824, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9411, predictive_accuracy: 0.9407, prior_entropy: 0.921, recall: 0.9407, relative_absolute_error: 0.1818, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4468, scimark_benchmark: 889.4922, usercpu_time_millis: 2480, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9408, kappa: 0.8678, kb_relative_information_score: 123303.5824, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9411, predictive_accuracy: 0.9407, prior_entropy: 0.921, recall: 0.9407, relative_absolute_error: 0.1818, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4468, scimark_benchmark: 929.0296, usercpu_time_millis: 3340, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9417, kappa: 0.8696, kb_relative_information_score: 121117.1497, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9419, predictive_accuracy: 0.9416, prior_entropy: 0.921, recall: 0.9416, relative_absolute_error: 0.2032, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.4579, scimark_benchmark: 929.0296, usercpu_time_millis: 1560, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.937, kappa: 0.8581, kb_relative_information_score: 111250.8526, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9371, predictive_accuracy: 0.9373, prior_entropy: 0.921, recall: 0.9373, relative_absolute_error: 0.2834, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.4863, scimark_benchmark: 941.9549, usercpu_time_millis: 700, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9373, kappa: 0.8594, kb_relative_information_score: 126749.4411, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9373, predictive_accuracy: 0.9374, prior_entropy: 0.921, recall: 0.9374, relative_absolute_error: 0.1515, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.4732, scimark_benchmark: 926.5859, usercpu_time_millis: 31160, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 31050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9251, kappa: 0.8333, kb_relative_information_score: 119523.3868, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9262, predictive_accuracy: 0.9246, prior_entropy: 0.921, recall: 0.9246, relative_absolute_error: 0.2009, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.539, scimark_benchmark: 936.1714, usercpu_time_millis: 12780, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 12730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.9038, kappa: 0.7878, kb_relative_information_score: 104088.2158, mean_absolute_error: 0.1426, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.908, predictive_accuracy: 0.9025, prior_entropy: 0.921, recall: 0.9025, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.2797, root_relative_squared_error: 0.5922, scimark_benchmark: 935.6052, usercpu_time_millis: 8050, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 8020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8413, kappa: 0.6626, kb_relative_information_score: 71585.9405, mean_absolute_error: 0.2344, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.8658, predictive_accuracy: 0.8372, prior_entropy: 0.921, recall: 0.8372, relative_absolute_error: 0.5252, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.7439, scimark_benchmark: 938.3115, usercpu_time_millis: 4060, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4030,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5298, kb_relative_information_score: 31554.2432, mean_absolute_error: 0.3361, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.4408, predictive_accuracy: 0.6639, prior_entropy: 0.921, recall: 0.6639, relative_absolute_error: 0.7531, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.2273, scimark_benchmark: 922.8232, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.941, kappa: 0.8663, kb_relative_information_score: 107811.2323, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9428, predictive_accuracy: 0.9418, prior_entropy: 0.921, recall: 0.9418, relative_absolute_error: 0.3095, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4643, scimark_benchmark: 1064.8317, usercpu_time_millis: 4570, usercpu_time_millis_training: 4570,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.941, kappa: 0.8663, kb_relative_information_score: 107811.2323, mean_absolute_error: 0.1381, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9428, predictive_accuracy: 0.9418, prior_entropy: 0.921, recall: 0.9418, relative_absolute_error: 0.3095, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.4643, scimark_benchmark: 1319.4538, usercpu_time_millis: 3430, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9294, kappa: 0.8416, kb_relative_information_score: 116009.0529, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9293, predictive_accuracy: 0.9295, prior_entropy: 0.921, recall: 0.9295, relative_absolute_error: 0.2347, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.5011, scimark_benchmark: 1347.1763, usercpu_time_millis: 310, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 180,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9856, kappa: 0.9676, kb_relative_information_score: 136736.6497, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.921, recall: 0.9856, relative_absolute_error: 0.1028, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.115, root_relative_squared_error: 0.2434, scimark_benchmark: 1339.2472, usercpu_time_millis: 8980, usercpu_time_millis_testing: 780, usercpu_time_millis_training: 8200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9595, kappa: 0.9093, kb_relative_information_score: 131792.6589, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9595, predictive_accuracy: 0.9596, prior_entropy: 0.921, recall: 0.9596, relative_absolute_error: 0.1257, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.1823, root_relative_squared_error: 0.386, scimark_benchmark: 1306.9281, usercpu_time_millis: 740, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9678, kappa: 0.928, kb_relative_information_score: 133678.6081, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9679, predictive_accuracy: 0.9678, prior_entropy: 0.921, recall: 0.9678, relative_absolute_error: 0.1154, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.163, root_relative_squared_error: 0.3451, scimark_benchmark: 1340.9749, usercpu_time_millis: 37960, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 37550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9294, kappa: 0.8416, kb_relative_information_score: 116009.0529, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9293, predictive_accuracy: 0.9295, prior_entropy: 0.921, recall: 0.9295, relative_absolute_error: 0.2347, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.5011, scimark_benchmark: 1319.4538, usercpu_time_millis: 310, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 180,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9856, kappa: 0.9676, kb_relative_information_score: 136736.6497, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.921, recall: 0.9856, relative_absolute_error: 0.1028, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.115, root_relative_squared_error: 0.2434, scimark_benchmark: 1317.5348, usercpu_time_millis: 8340, usercpu_time_millis_testing: 1060, usercpu_time_millis_training: 7280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.9011, kappa: 0.7825, kb_relative_information_score: 46979.0446, mean_absolute_error: 0.3022, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9064, predictive_accuracy: 0.8997, prior_entropy: 0.921, recall: 0.8997, relative_absolute_error: 0.6772, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.8004, scimark_benchmark: 1339.3082, usercpu_time_millis: 1533750, usercpu_time_millis_testing: 1533740, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.872, kappa: 0.7053, kb_relative_information_score: 107659.4461, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.8972, predictive_accuracy: 0.8799, prior_entropy: 0.921, recall: 0.8799, relative_absolute_error: 0.2692, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.3466, root_relative_squared_error: 0.7337, scimark_benchmark: 1332.1612, usercpu_time_millis: 209840, usercpu_time_millis_testing: 41420, usercpu_time_millis_training: 168420,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9393, kappa: 0.8624, kb_relative_information_score: 116864.4817, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9413, predictive_accuracy: 0.9402, prior_entropy: 0.921, recall: 0.9402, relative_absolute_error: 0.2435, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.4475, scimark_benchmark: 1346.0226, usercpu_time_millis: 8100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 8090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9414, kappa: 0.8689, kb_relative_information_score: 119630.912, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9416, predictive_accuracy: 0.9412, prior_entropy: 0.921, recall: 0.9412, relative_absolute_error: 0.2142, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4441, scimark_benchmark: 1330.6748, usercpu_time_millis: 520, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9813, kappa: 0.958, kb_relative_information_score: 139872.2594, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.4463, number_of_instances: 150000, precision: 0.9813, predictive_accuracy: 0.9813, prior_entropy: 0.921, recall: 0.9813, relative_absolute_error: 0.0721, root_mean_prior_squared_error: 0.4724, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.2479, scimark_benchmark: 1332.7555, usercpu_time_millis: 4970, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4940,
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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