OpenML
Supervised Classification on mv

Supervised Classification on mv

Task 4450 Supervised Classification mv 202 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9848, kappa: 0.9683, kb_relative_information_score: 390847.8375, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9848, predictive_accuracy: 0.9848, prior_entropy: 0.9729, recall: 0.9848, relative_absolute_error: 0.0433, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.104, root_relative_squared_error: 0.212, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9796, kappa: 0.9576, kb_relative_information_score: 375874.498, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9796, predictive_accuracy: 0.9796, prior_entropy: 0.9729, recall: 0.9796, relative_absolute_error: 0.0867, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1188, root_relative_squared_error: 0.2422, scimark_benchmark: 972.587, usercpu_time_millis: 5530, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 5490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9744, kappa: 0.9469, kb_relative_information_score: 370487.4267, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9746, predictive_accuracy: 0.9744, prior_entropy: 0.9729, recall: 0.9744, relative_absolute_error: 0.1038, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.2572, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7086, f_measure: 0.7328, kappa: 0.4406, kb_relative_information_score: 188133.6349, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.7502, predictive_accuracy: 0.745, prior_entropy: 0.9729, recall: 0.745, relative_absolute_error: 0.5297, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0293, scimark_benchmark: 931.771, usercpu_time_millis: 1362650, usercpu_time_millis_testing: 260350, usercpu_time_millis_training: 1102300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7086, f_measure: 0.7328, kappa: 0.4406, kb_relative_information_score: 188133.6349, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.7502, predictive_accuracy: 0.745, prior_entropy: 0.9729, recall: 0.745, relative_absolute_error: 0.5297, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0293, scimark_benchmark: 944.1067, usercpu_time_millis: 1297700, usercpu_time_millis_testing: 246230, usercpu_time_millis_training: 1051470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9356, kappa: 0.868, kb_relative_information_score: 337250.4348, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9416, predictive_accuracy: 0.9351, prior_entropy: 0.9729, recall: 0.9351, relative_absolute_error: 0.1839, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4084, scimark_benchmark: 941.6675, usercpu_time_millis: 590, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9479, kappa: 0.893, kb_relative_information_score: 349461.6034, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9528, predictive_accuracy: 0.9475, prior_entropy: 0.9729, recall: 0.9475, relative_absolute_error: 0.1532, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.3593, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9975, kappa: 0.9948, kb_relative_information_score: 403835.3948, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.9729, recall: 0.9975, relative_absolute_error: 0.0105, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0433, root_relative_squared_error: 0.0882, scimark_benchmark: 938.191, usercpu_time_millis: 2790, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 2720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9932, kappa: 0.986, kb_relative_information_score: 396362.7529, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9932, predictive_accuracy: 0.9932, prior_entropy: 0.9729, recall: 0.9932, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.1571, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7086, f_measure: 0.7328, kappa: 0.4406, kb_relative_information_score: 188133.6349, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.7502, predictive_accuracy: 0.745, prior_entropy: 0.9729, recall: 0.745, relative_absolute_error: 0.5297, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0293, scimark_benchmark: 937.5117, usercpu_time_millis: 1150580, usercpu_time_millis_testing: 244470, usercpu_time_millis_training: 906110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7086, f_measure: 0.7328, kappa: 0.4406, kb_relative_information_score: 188133.6349, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.7502, predictive_accuracy: 0.745, prior_entropy: 0.9729, recall: 0.745, relative_absolute_error: 0.5297, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0293, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9951, kb_relative_information_score: 400806.9897, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.9729, recall: 0.9976, relative_absolute_error: 0.0199, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1019, scimark_benchmark: 974.2014, usercpu_time_millis: 14650, usercpu_time_millis_testing: 830, usercpu_time_millis_training: 13820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9848, kappa: 0.9683, kb_relative_information_score: 390847.8375, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9848, predictive_accuracy: 0.9848, prior_entropy: 0.9729, recall: 0.9848, relative_absolute_error: 0.0433, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.104, root_relative_squared_error: 0.212, scimark_benchmark: 942.2392, usercpu_time_millis: 560, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9796, kappa: 0.9576, kb_relative_information_score: 375874.498, mean_absolute_error: 0.0417, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9796, predictive_accuracy: 0.9796, prior_entropy: 0.9729, recall: 0.9796, relative_absolute_error: 0.0867, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1188, root_relative_squared_error: 0.2422, scimark_benchmark: 908.9569, usercpu_time_millis: 4210, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 4180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9744, kappa: 0.9469, kb_relative_information_score: 370487.4267, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9746, predictive_accuracy: 0.9744, prior_entropy: 0.9729, recall: 0.9744, relative_absolute_error: 0.1038, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.2572, scimark_benchmark: 936.2574, usercpu_time_millis: 14170, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 14130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7086, f_measure: 0.7328, kappa: 0.4406, kb_relative_information_score: 188133.6349, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.7502, predictive_accuracy: 0.745, prior_entropy: 0.9729, recall: 0.745, relative_absolute_error: 0.5297, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0293, scimark_benchmark: 926.5462, usercpu_time_millis: 1213180, usercpu_time_millis_testing: 223660, usercpu_time_millis_training: 989520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9479, kappa: 0.893, kb_relative_information_score: 349461.6034, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9528, predictive_accuracy: 0.9475, prior_entropy: 0.9729, recall: 0.9475, relative_absolute_error: 0.1532, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.3593, scimark_benchmark: 941.4991, usercpu_time_millis: 510, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9975, kappa: 0.9948, kb_relative_information_score: 403835.3948, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.9729, recall: 0.9975, relative_absolute_error: 0.0105, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0433, root_relative_squared_error: 0.0882, scimark_benchmark: 930.404, usercpu_time_millis: 2460, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9479, kappa: 0.893, kb_relative_information_score: 349461.6034, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9528, predictive_accuracy: 0.9475, prior_entropy: 0.9729, recall: 0.9475, relative_absolute_error: 0.1532, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.3593, scimark_benchmark: 932.438, usercpu_time_millis: 430, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9951, kb_relative_information_score: 400806.9897, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.9729, recall: 0.9976, relative_absolute_error: 0.0199, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1019, scimark_benchmark: 945.6228, usercpu_time_millis: 17230, usercpu_time_millis_testing: 970, usercpu_time_millis_training: 16260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9975, kappa: 0.9947, kb_relative_information_score: 395439.2956, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.9729, recall: 0.9975, relative_absolute_error: 0.0363, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0635, root_relative_squared_error: 0.1294, scimark_benchmark: 931.7096, usercpu_time_millis: 666900, usercpu_time_millis_testing: 114920, usercpu_time_millis_training: 551980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9972, kappa: 0.9941, kb_relative_information_score: 395628.3891, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9972, predictive_accuracy: 0.9972, prior_entropy: 0.9729, recall: 0.9972, relative_absolute_error: 0.0355, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0637, root_relative_squared_error: 0.1299, scimark_benchmark: 933.3455, usercpu_time_millis: 247010, usercpu_time_millis_testing: 27880, usercpu_time_millis_training: 219130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9963, kappa: 0.9923, kb_relative_information_score: 395380.8604, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 0.9729, recall: 0.9963, relative_absolute_error: 0.0358, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0667, root_relative_squared_error: 0.136, scimark_benchmark: 945.0448, usercpu_time_millis: 59630, usercpu_time_millis_testing: 5590, usercpu_time_millis_training: 54040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9954, kappa: 0.9905, kb_relative_information_score: 395247.1825, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 0.9729, recall: 0.9954, relative_absolute_error: 0.0355, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0702, root_relative_squared_error: 0.1431, scimark_benchmark: 939.7241, usercpu_time_millis: 43890, usercpu_time_millis_testing: 2930, usercpu_time_millis_training: 40960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9971, kappa: 0.9939, kb_relative_information_score: 403050.4354, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.9729, recall: 0.9971, relative_absolute_error: 0.0124, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0492, root_relative_squared_error: 0.1002, scimark_benchmark: 929.0296, usercpu_time_millis: 21600, usercpu_time_millis_testing: 420, usercpu_time_millis_training: 21180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9963, kappa: 0.9924, kb_relative_information_score: 401940.5471, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 0.9729, recall: 0.9963, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0543, root_relative_squared_error: 0.1107, scimark_benchmark: 894.7131, usercpu_time_millis: 15660, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 15340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9939, kappa: 0.9874, kb_relative_information_score: 398666.9097, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9939, predictive_accuracy: 0.9939, prior_entropy: 0.9729, recall: 0.9939, relative_absolute_error: 0.0242, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0685, root_relative_squared_error: 0.1396, scimark_benchmark: 941.9549, usercpu_time_millis: 8250, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 8080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9897, kappa: 0.9786, kb_relative_information_score: 392749.5417, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9897, predictive_accuracy: 0.9897, prior_entropy: 0.9729, recall: 0.9897, relative_absolute_error: 0.0397, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.1823, scimark_benchmark: 941.9549, usercpu_time_millis: 5160, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 5060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9741, kappa: 0.9463, kb_relative_information_score: 380120.015, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9743, predictive_accuracy: 0.974, prior_entropy: 0.9729, recall: 0.974, relative_absolute_error: 0.0706, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.2551, scimark_benchmark: 929.0296, usercpu_time_millis: 1670, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 1600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9835, kappa: 0.9657, kb_relative_information_score: 381069.1269, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9835, predictive_accuracy: 0.9835, prior_entropy: 0.9729, recall: 0.9835, relative_absolute_error: 0.0728, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.2354, scimark_benchmark: 941.9549, usercpu_time_millis: 910, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9819, kappa: 0.9624, kb_relative_information_score: 391400.2791, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.982, predictive_accuracy: 0.9819, prior_entropy: 0.9729, recall: 0.9819, relative_absolute_error: 0.04, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.2355, scimark_benchmark: 941.9549, usercpu_time_millis: 42630, usercpu_time_millis_testing: 260, usercpu_time_millis_training: 42370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9795, kappa: 0.9574, kb_relative_information_score: 385711.869, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9795, predictive_accuracy: 0.9795, prior_entropy: 0.9729, recall: 0.9795, relative_absolute_error: 0.0555, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1338, root_relative_squared_error: 0.2727, scimark_benchmark: 941.9549, usercpu_time_millis: 16410, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 16270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9452, kappa: 0.8873, kb_relative_information_score: 361241.6445, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9488, predictive_accuracy: 0.9448, prior_entropy: 0.9729, recall: 0.9448, relative_absolute_error: 0.1115, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.201, root_relative_squared_error: 0.4096, scimark_benchmark: 938.3115, usercpu_time_millis: 7610, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 7520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9309, kappa: 0.8566, kb_relative_information_score: 345691.1267, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.931, predictive_accuracy: 0.9308, prior_entropy: 0.9729, recall: 0.9308, relative_absolute_error: 0.1517, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.4206, scimark_benchmark: 938.3115, usercpu_time_millis: 4580, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 4520,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4458, kb_relative_information_score: 60313.7387, mean_absolute_error: 0.4034, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.3559, predictive_accuracy: 0.5966, prior_entropy: 0.9729, recall: 0.5966, relative_absolute_error: 0.8381, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.6352, root_relative_squared_error: 1.2947, scimark_benchmark: 922.8232, usercpu_time_millis: 270, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 210,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9479, kappa: 0.893, kb_relative_information_score: 349461.6034, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9528, predictive_accuracy: 0.9475, prior_entropy: 0.9729, recall: 0.9475, relative_absolute_error: 0.1532, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.3593, scimark_benchmark: 1338.5214, usercpu_time_millis: 350, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9356, kappa: 0.868, kb_relative_information_score: 337250.4348, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9416, predictive_accuracy: 0.9351, prior_entropy: 0.9729, recall: 0.9351, relative_absolute_error: 0.1839, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4084, scimark_benchmark: 1306.9281, usercpu_time_millis: 390, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9479, kappa: 0.893, kb_relative_information_score: 349461.6034, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9528, predictive_accuracy: 0.9475, prior_entropy: 0.9729, recall: 0.9475, relative_absolute_error: 0.1532, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.3593, scimark_benchmark: 1317.5857, usercpu_time_millis: 360, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 250,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9951, kb_relative_information_score: 400806.9897, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.9729, recall: 0.9976, relative_absolute_error: 0.0199, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1019, scimark_benchmark: 1374.9737, usercpu_time_millis: 13230, usercpu_time_millis_testing: 910, usercpu_time_millis_training: 12320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9356, kappa: 0.868, kb_relative_information_score: 337250.4348, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9416, predictive_accuracy: 0.9351, prior_entropy: 0.9729, recall: 0.9351, relative_absolute_error: 0.1839, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4084, scimark_benchmark: 1310.6554, usercpu_time_millis: 340, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9479, kappa: 0.893, kb_relative_information_score: 349461.6034, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9528, predictive_accuracy: 0.9475, prior_entropy: 0.9729, recall: 0.9475, relative_absolute_error: 0.1532, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.3593, scimark_benchmark: 1321.8321, usercpu_time_millis: 330, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 230,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9848, kappa: 0.9683, kb_relative_information_score: 390847.8375, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9848, predictive_accuracy: 0.9848, prior_entropy: 0.9729, recall: 0.9848, relative_absolute_error: 0.0433, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.104, root_relative_squared_error: 0.212, scimark_benchmark: 1306.9281, usercpu_time_millis: 260, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9356, kappa: 0.868, kb_relative_information_score: 337250.4348, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9416, predictive_accuracy: 0.9351, prior_entropy: 0.9729, recall: 0.9351, relative_absolute_error: 0.1839, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4084, scimark_benchmark: 1313.11, usercpu_time_millis: 310, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9479, kappa: 0.893, kb_relative_information_score: 349461.6034, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9528, predictive_accuracy: 0.9475, prior_entropy: 0.9729, recall: 0.9475, relative_absolute_error: 0.1532, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.3593, scimark_benchmark: 1327.3335, usercpu_time_millis: 360, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 250,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9479, kappa: 0.893, kb_relative_information_score: 349461.6034, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9528, predictive_accuracy: 0.9475, prior_entropy: 0.9729, recall: 0.9475, relative_absolute_error: 0.1532, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.3593, scimark_benchmark: 1321.8321, usercpu_time_millis: 310, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 210,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9932, kappa: 0.986, kb_relative_information_score: 396362.7529, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9932, predictive_accuracy: 0.9932, prior_entropy: 0.9729, recall: 0.9932, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.1571, scimark_benchmark: 1315.9287, usercpu_time_millis: 10620, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 10370,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9975, kappa: 0.9948, kb_relative_information_score: 403835.3948, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9975, predictive_accuracy: 0.9975, prior_entropy: 0.9729, recall: 0.9975, relative_absolute_error: 0.0105, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0433, root_relative_squared_error: 0.0882, scimark_benchmark: 1337.7902, usercpu_time_millis: 1740, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9932, kappa: 0.986, kb_relative_information_score: 396362.7529, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9932, predictive_accuracy: 0.9932, prior_entropy: 0.9729, recall: 0.9932, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.1571, scimark_benchmark: 1336.0954, usercpu_time_millis: 11680, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 11440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9479, kappa: 0.893, kb_relative_information_score: 349461.6034, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9528, predictive_accuracy: 0.9475, prior_entropy: 0.9729, recall: 0.9475, relative_absolute_error: 0.1532, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.3593, scimark_benchmark: 1342.6744, usercpu_time_millis: 340, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9985, kappa: 0.9968, kb_relative_information_score: 406196.7267, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9729, recall: 0.9985, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0377, root_relative_squared_error: 0.0769, scimark_benchmark: 1371.4836, usercpu_time_millis: 3950, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 3500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9979, kappa: 0.9957, kb_relative_information_score: 403920.0881, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.9729, recall: 0.9979, relative_absolute_error: 0.0104, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0408, root_relative_squared_error: 0.0832, scimark_benchmark: 1356.4396, usercpu_time_millis: 19890, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 19580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9479, kappa: 0.893, kb_relative_information_score: 349461.6034, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9528, predictive_accuracy: 0.9475, prior_entropy: 0.9729, recall: 0.9475, relative_absolute_error: 0.1532, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1763, root_relative_squared_error: 0.3593, scimark_benchmark: 1260.1387, usercpu_time_millis: 320, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9932, kappa: 0.986, kb_relative_information_score: 396362.7529, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9932, predictive_accuracy: 0.9932, prior_entropy: 0.9729, recall: 0.9932, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.1571, scimark_benchmark: 1297.2338, usercpu_time_millis: 12700, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 12470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9976, kappa: 0.9951, kb_relative_information_score: 400806.9897, mean_absolute_error: 0.0096, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.9729, recall: 0.9976, relative_absolute_error: 0.0199, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1019, scimark_benchmark: 1278.6629, usercpu_time_millis: 15370, usercpu_time_millis_testing: 1170, usercpu_time_millis_training: 14200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.968, kappa: 0.9334, kb_relative_information_score: 363274.9328, mean_absolute_error: 0.0574, mean_prior_absolute_error: 0.4813, number_of_instances: 407680, precision: 0.968, predictive_accuracy: 0.968, prior_entropy: 0.9729, recall: 0.968, relative_absolute_error: 0.1193, root_mean_prior_squared_error: 0.4906, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.3112, scimark_benchmark: 1337.7947, usercpu_time_millis: 44968700, usercpu_time_millis_testing: 44968700,

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