Task
Supervised Classification on electricity

Supervised Classification on electricity

Task 1943 Supervised Classification electricity 198 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

198 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.7455, kappa: 0.4791, kb_relative_information_score: 185999.5755, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7455, predictive_accuracy: 0.7456, prior_entropy: 0.9835, recall: 0.7456, relative_absolute_error: 0.5975, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8694, scimark_benchmark: 938.0414, usercpu_time_millis: 510, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7991, kappa: 0.5874, kb_relative_information_score: 216649.2872, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7993, predictive_accuracy: 0.8001, prior_entropy: 0.9835, recall: 0.8001, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7548, scimark_benchmark: 918.0213, usercpu_time_millis: 430, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7991, kappa: 0.5874, kb_relative_information_score: 216649.2872, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7993, predictive_accuracy: 0.8001, prior_entropy: 0.9835, recall: 0.8001, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7548, scimark_benchmark: 1288.1375, usercpu_time_millis: 450, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.8223, kappa: 0.6352, kb_relative_information_score: 235150.7732, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8225, predictive_accuracy: 0.823, prior_entropy: 0.9835, recall: 0.823, relative_absolute_error: 0.5067, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.7367, scimark_benchmark: 1371.9645, usercpu_time_millis: 580, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.7455, kappa: 0.4791, kb_relative_information_score: 185999.5755, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7455, predictive_accuracy: 0.7456, prior_entropy: 0.9835, recall: 0.7456, relative_absolute_error: 0.5975, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8694, scimark_benchmark: 1347.917, usercpu_time_millis: 290, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7991, kappa: 0.5874, kb_relative_information_score: 216649.2872, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7993, predictive_accuracy: 0.8001, prior_entropy: 0.9835, recall: 0.8001, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7548, scimark_benchmark: 1345.7204, usercpu_time_millis: 280, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.7455, kappa: 0.4791, kb_relative_information_score: 185999.5755, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7455, predictive_accuracy: 0.7456, prior_entropy: 0.9835, recall: 0.7456, relative_absolute_error: 0.5975, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8694, scimark_benchmark: 1350.073, usercpu_time_millis: 310, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7991, kappa: 0.5874, kb_relative_information_score: 216649.2872, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7993, predictive_accuracy: 0.8001, prior_entropy: 0.9835, recall: 0.8001, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7548, scimark_benchmark: 1342.6911, usercpu_time_millis: 330, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7991, kappa: 0.5874, kb_relative_information_score: 216649.2872, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7993, predictive_accuracy: 0.8001, prior_entropy: 0.9835, recall: 0.8001, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7548, scimark_benchmark: 1343.4596, usercpu_time_millis: 290, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.8675, kappa: 0.7282, kb_relative_information_score: 278711.7035, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8676, predictive_accuracy: 0.8679, prior_entropy: 0.9835, recall: 0.8679, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.6279, scimark_benchmark: 1357.5655, usercpu_time_millis: 6720410, usercpu_time_millis_testing: 6720410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8717, kappa: 0.7375, kb_relative_information_score: 323012.5601, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8717, predictive_accuracy: 0.8717, prior_entropy: 0.9835, recall: 0.8717, relative_absolute_error: 0.2893, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.6803, scimark_benchmark: 1064.8317, usercpu_time_millis: 13010, usercpu_time_millis_testing: 2400, usercpu_time_millis_training: 10610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7828, kappa: 0.5531, kb_relative_information_score: 126925.9843, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.786, predictive_accuracy: 0.7857, prior_entropy: 0.9835, recall: 0.7857, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.818, scimark_benchmark: 1064.8317, usercpu_time_millis: 3790, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 3770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9107, kappa: 0.817, kb_relative_information_score: 318134.4416, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.9107, predictive_accuracy: 0.9108, prior_entropy: 0.9835, recall: 0.9108, relative_absolute_error: 0.3244, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2582, root_relative_squared_error: 0.5224, scimark_benchmark: 892.0148, usercpu_time_millis: 42980, usercpu_time_millis_testing: 1230, usercpu_time_millis_training: 41750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.7955, kappa: 0.5802, kb_relative_information_score: 182825.7972, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7956, predictive_accuracy: 0.7964, prior_entropy: 0.9835, recall: 0.7964, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.383, root_relative_squared_error: 0.7749, scimark_benchmark: 1320.9026, usercpu_time_millis: 11320, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 11280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.8973, kappa: 0.789, kb_relative_information_score: 234440.3499, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8985, predictive_accuracy: 0.8979, prior_entropy: 0.9835, recall: 0.8979, relative_absolute_error: 0.5359, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3101, root_relative_squared_error: 0.6275, scimark_benchmark: 1352.2099, usercpu_time_millis: 15170, usercpu_time_millis_testing: 1240, usercpu_time_millis_training: 13930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.8223, kappa: 0.6352, kb_relative_information_score: 235150.7732, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8225, predictive_accuracy: 0.823, prior_entropy: 0.9835, recall: 0.823, relative_absolute_error: 0.5067, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.7367, scimark_benchmark: 1249.4068, usercpu_time_millis: 530, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7828, kappa: 0.5531, kb_relative_information_score: 126925.9843, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.786, predictive_accuracy: 0.7857, prior_entropy: 0.9835, recall: 0.7857, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.818, scimark_benchmark: 950.6776, usercpu_time_millis: 2740, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.8457, kappa: 0.6832, kb_relative_information_score: 306931.8603, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8459, predictive_accuracy: 0.8462, prior_entropy: 0.9835, recall: 0.8462, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3601, root_relative_squared_error: 0.7285, scimark_benchmark: 1345.3152, usercpu_time_millis: 1636630, usercpu_time_millis_testing: 710, usercpu_time_millis_training: 1635920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7828, kappa: 0.5531, kb_relative_information_score: 126925.9843, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.786, predictive_accuracy: 0.7857, prior_entropy: 0.9835, recall: 0.7857, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.818, scimark_benchmark: 1342.4239, usercpu_time_millis: 2930, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.7955, kappa: 0.5802, kb_relative_information_score: 182825.7972, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7956, predictive_accuracy: 0.7964, prior_entropy: 0.9835, recall: 0.7964, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.383, root_relative_squared_error: 0.7749, scimark_benchmark: 1319.4881, usercpu_time_millis: 12240, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 12210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.8973, kappa: 0.7891, kb_relative_information_score: 233658.4789, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8986, predictive_accuracy: 0.898, prior_entropy: 0.9835, recall: 0.898, relative_absolute_error: 0.5381, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3103, root_relative_squared_error: 0.6277, scimark_benchmark: 885.0921, usercpu_time_millis: 62190, usercpu_time_millis_testing: 7310, usercpu_time_millis_training: 54880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.8223, kappa: 0.6352, kb_relative_information_score: 235150.7732, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8225, predictive_accuracy: 0.823, prior_entropy: 0.9835, recall: 0.823, relative_absolute_error: 0.5067, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.7367, scimark_benchmark: 939.5088, usercpu_time_millis: 570, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.8931, kappa: 0.7812, kb_relative_information_score: 335678.503, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8931, predictive_accuracy: 0.8931, prior_entropy: 0.9835, recall: 0.8931, relative_absolute_error: 0.2701, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3086, root_relative_squared_error: 0.6243, scimark_benchmark: 1314.9535, usercpu_time_millis: 64960, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 64940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7828, kappa: 0.5531, kb_relative_information_score: 126925.9843, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.786, predictive_accuracy: 0.7857, prior_entropy: 0.9835, recall: 0.7857, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.818, scimark_benchmark: 1168.3268, usercpu_time_millis: 3210, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 3180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.7955, kappa: 0.5802, kb_relative_information_score: 182825.7972, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7956, predictive_accuracy: 0.7964, prior_entropy: 0.9835, recall: 0.7964, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.383, root_relative_squared_error: 0.7749, scimark_benchmark: 1314.0383, usercpu_time_millis: 19230, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 19200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.8223, kappa: 0.6352, kb_relative_information_score: 235150.7732, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8225, predictive_accuracy: 0.823, prior_entropy: 0.9835, recall: 0.823, relative_absolute_error: 0.5067, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.7367, scimark_benchmark: 1330.2021, usercpu_time_millis: 470, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.7517, kappa: 0.4892, kb_relative_information_score: 226228.8184, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7606, predictive_accuracy: 0.7578, prior_entropy: 0.9835, recall: 0.7578, relative_absolute_error: 0.4957, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9957, scimark_benchmark: 1310.6407, usercpu_time_millis: 850, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.7937, kappa: 0.5777, kb_relative_information_score: 259872.9699, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7936, predictive_accuracy: 0.7937, prior_entropy: 0.9835, recall: 0.7937, relative_absolute_error: 0.4222, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9189, scimark_benchmark: 833.3193, usercpu_time_millis: 80870, usercpu_time_millis_testing: 80870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.8959, kappa: 0.7861, kb_relative_information_score: 232921.3504, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8972, predictive_accuracy: 0.8965, prior_entropy: 0.9835, recall: 0.8965, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.6297, scimark_benchmark: 961.21, usercpu_time_millis: 30280, usercpu_time_millis_testing: 2950, usercpu_time_millis_training: 27330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.8223, kappa: 0.6352, kb_relative_information_score: 235150.7732, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8225, predictive_accuracy: 0.823, prior_entropy: 0.9835, recall: 0.823, relative_absolute_error: 0.5067, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.7367, scimark_benchmark: 855.8522, usercpu_time_millis: 340, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8125, f_measure: 0.8206, kappa: 0.6314, kb_relative_information_score: 286117.0302, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8213, predictive_accuracy: 0.8217, prior_entropy: 0.9835, recall: 0.8217, relative_absolute_error: 0.3649, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8542, scimark_benchmark: 1284.2094, usercpu_time_millis: 346980, usercpu_time_millis_testing: 4530, usercpu_time_millis_training: 342450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.8547, kappa: 0.7016, kb_relative_information_score: 256205.8442, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.855, predictive_accuracy: 0.8553, prior_entropy: 0.9835, recall: 0.8553, relative_absolute_error: 0.4706, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3456, root_relative_squared_error: 0.6991, scimark_benchmark: 1320.2717, usercpu_time_millis: 19430, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 19380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7322, f_measure: 0.7484, kappa: 0.4846, kb_relative_information_score: 135179.1434, mean_absolute_error: 0.3621, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7715, predictive_accuracy: 0.7591, prior_entropy: 0.9835, recall: 0.7591, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.8614, scimark_benchmark: 1346.3935, usercpu_time_millis: 2550, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7828, kappa: 0.5531, kb_relative_information_score: 126925.9843, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.786, predictive_accuracy: 0.7857, prior_entropy: 0.9835, recall: 0.7857, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.818, scimark_benchmark: 1371.9645, usercpu_time_millis: 2830, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.7447, kappa: 0.4755, kb_relative_information_score: 221771.6751, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7591, predictive_accuracy: 0.753, prior_entropy: 0.9835, recall: 0.753, relative_absolute_error: 0.5055, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0054, scimark_benchmark: 891.9953, usercpu_time_millis: 363870, usercpu_time_millis_testing: 153870, usercpu_time_millis_training: 210000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.8894, kappa: 0.7727, kb_relative_information_score: 234610.2415, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8904, predictive_accuracy: 0.89, prior_entropy: 0.9835, recall: 0.89, relative_absolute_error: 0.5321, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.6357, scimark_benchmark: 1338.9438, usercpu_time_millis: 3060, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 2780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.8249, kappa: 0.6404, kb_relative_information_score: 225889.4991, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8254, predictive_accuracy: 0.8259, prior_entropy: 0.9835, recall: 0.8259, relative_absolute_error: 0.5288, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.353, root_relative_squared_error: 0.7141, scimark_benchmark: 1309.4998, usercpu_time_millis: 13250, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 13230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8949, f_measure: 0.8179, kappa: 0.6258, kb_relative_information_score: 217795.4213, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8186, predictive_accuracy: 0.819, prior_entropy: 0.9835, recall: 0.819, relative_absolute_error: 0.5473, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7268, scimark_benchmark: 1264.0609, usercpu_time_millis: 8070, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 8050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9101, kappa: 0.8158, kb_relative_information_score: 318035.6969, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.9101, predictive_accuracy: 0.9102, prior_entropy: 0.9835, recall: 0.9102, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2592, root_relative_squared_error: 0.5244, scimark_benchmark: 1316.5986, usercpu_time_millis: 20920, usercpu_time_millis_testing: 650, usercpu_time_millis_training: 20270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9051, kappa: 0.8056, kb_relative_information_score: 316934.1926, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.9051, predictive_accuracy: 0.9052, prior_entropy: 0.9835, recall: 0.9052, relative_absolute_error: 0.3243, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.5379, scimark_benchmark: 1331.2332, usercpu_time_millis: 8720, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 8550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8784, f_measure: 0.7991, kappa: 0.5874, kb_relative_information_score: 216649.2872, mean_absolute_error: 0.2646, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7993, predictive_accuracy: 0.8001, prior_entropy: 0.9835, recall: 0.8001, relative_absolute_error: 0.5415, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3731, root_relative_squared_error: 0.7548, scimark_benchmark: 1318.5916, usercpu_time_millis: 430, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.801, kappa: 0.5911, kb_relative_information_score: 228232.3404, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8016, predictive_accuracy: 0.8023, prior_entropy: 0.9835, recall: 0.8023, relative_absolute_error: 0.5148, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.794, scimark_benchmark: 1353.3179, usercpu_time_millis: 6220, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 6110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.846, f_measure: 0.801, kappa: 0.5911, kb_relative_information_score: 228232.3404, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8016, predictive_accuracy: 0.8023, prior_entropy: 0.9835, recall: 0.8023, relative_absolute_error: 0.5148, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.794, scimark_benchmark: 1334.8495, usercpu_time_millis: 8010, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 7890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.8223, kappa: 0.6352, kb_relative_information_score: 235150.7732, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8225, predictive_accuracy: 0.823, prior_entropy: 0.9835, recall: 0.823, relative_absolute_error: 0.5067, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3641, root_relative_squared_error: 0.7367, scimark_benchmark: 1339.944, usercpu_time_millis: 460, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, f_measure: 0.7046, kappa: 0.4072, kb_relative_information_score: 177318.8625, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7702, predictive_accuracy: 0.7299, prior_entropy: 0.9835, recall: 0.7299, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9258, scimark_benchmark: 1297.6356, usercpu_time_millis: 250, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7411, f_measure: 0.7552, kappa: 0.4963, kb_relative_information_score: 229145.8078, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7634, predictive_accuracy: 0.7609, prior_entropy: 0.9835, recall: 0.7609, relative_absolute_error: 0.4893, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.489, root_relative_squared_error: 0.9893, scimark_benchmark: 1340.1351, usercpu_time_millis: 8650, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 8600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.7159, kappa: 0.4152, kb_relative_information_score: 106224.3044, mean_absolute_error: 0.3873, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7206, predictive_accuracy: 0.7216, prior_entropy: 0.9835, recall: 0.7216, relative_absolute_error: 0.7926, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8706, scimark_benchmark: 937.5996, usercpu_time_millis: 850, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.7562, kappa: 0.4983, kb_relative_information_score: 160174.9931, mean_absolute_error: 0.3293, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.762, predictive_accuracy: 0.7609, prior_entropy: 0.9835, recall: 0.7609, relative_absolute_error: 0.674, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8204, scimark_benchmark: 923.6051, usercpu_time_millis: 1580, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 1500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.805, kappa: 0.5994, kb_relative_information_score: 207827.6722, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8053, predictive_accuracy: 0.806, prior_entropy: 0.9835, recall: 0.806, relative_absolute_error: 0.5688, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.362, root_relative_squared_error: 0.7323, scimark_benchmark: 1348.8402, usercpu_time_millis: 3830, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 3750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7292, f_measure: 0.7484, kappa: 0.4835, kb_relative_information_score: 131866.3427, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.765, predictive_accuracy: 0.7572, prior_entropy: 0.9835, recall: 0.7572, relative_absolute_error: 0.7489, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.8655, scimark_benchmark: 1337.8431, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7767, f_measure: 0.7397, kappa: 0.4644, kb_relative_information_score: 164167.0449, mean_absolute_error: 0.3219, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7474, predictive_accuracy: 0.7458, prior_entropy: 0.9835, recall: 0.7458, relative_absolute_error: 0.6587, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.8748, scimark_benchmark: 1334.3805, usercpu_time_millis: 550, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.7955, kappa: 0.5802, kb_relative_information_score: 182825.7972, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7956, predictive_accuracy: 0.7964, prior_entropy: 0.9835, recall: 0.7964, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.383, root_relative_squared_error: 0.7749, scimark_benchmark: 915.6729, usercpu_time_millis: 14970, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 14940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9114, kappa: 0.8184, kb_relative_information_score: 318243.5013, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.9114, predictive_accuracy: 0.9115, prior_entropy: 0.9835, recall: 0.9115, relative_absolute_error: 0.3243, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.5213, scimark_benchmark: 1349.7981, usercpu_time_millis: 55210, usercpu_time_millis_testing: 2810, usercpu_time_millis_training: 52400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.7943, kappa: 0.5767, kb_relative_information_score: 195422.9618, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7987, predictive_accuracy: 0.7974, prior_entropy: 0.9835, recall: 0.7974, relative_absolute_error: 0.5978, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.764, scimark_benchmark: 1276.5165, usercpu_time_millis: 1530, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7046, kappa: 0.4072, kb_relative_information_score: 177343.812, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7702, predictive_accuracy: 0.7299, prior_entropy: 0.9835, recall: 0.7299, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9258, scimark_benchmark: 1301.9956, usercpu_time_millis: 270, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.7937, kappa: 0.5777, kb_relative_information_score: 259882.7312, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7936, predictive_accuracy: 0.7937, prior_entropy: 0.9835, recall: 0.7937, relative_absolute_error: 0.4222, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9189, scimark_benchmark: 912.7324, usercpu_time_millis: 282140, usercpu_time_millis_testing: 282130, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5625, f_measure: 0.5474, kappa: 0.0741, kb_relative_information_score: -4137.8401, mean_absolute_error: 0.4883, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.5476, predictive_accuracy: 0.5471, prior_entropy: 0.9835, recall: 0.5471, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9962, scimark_benchmark: 916.6405, usercpu_time_millis: 190, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -0.3895, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1339.4189, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5298, f_measure: 0.3145, kappa: 0.0437, kb_relative_information_score: -14868.8893, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7592, predictive_accuracy: 0.454, prior_entropy: 0.9835, recall: 0.454, relative_absolute_error: 1.021, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0094, scimark_benchmark: 932.0242, usercpu_time_millis: 40, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.8098, kappa: 0.6093, kb_relative_information_score: 233036.7114, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8103, predictive_accuracy: 0.8109, prior_entropy: 0.9835, recall: 0.8109, relative_absolute_error: 0.5038, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.7411, scimark_benchmark: 825.5282, usercpu_time_millis: 22450, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 22240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.7828, kappa: 0.5531, kb_relative_information_score: 126925.9843, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.786, predictive_accuracy: 0.7857, prior_entropy: 0.9835, recall: 0.7857, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.818, scimark_benchmark: 938.0414, usercpu_time_millis: 3600, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 3540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.8943, kappa: 0.7829, kb_relative_information_score: 233414.6325, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8955, predictive_accuracy: 0.895, prior_entropy: 0.9835, recall: 0.895, relative_absolute_error: 0.5371, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.632, scimark_benchmark: 1363.454, usercpu_time_millis: 5650, usercpu_time_millis_testing: 560, usercpu_time_millis_training: 5090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.81, kappa: 0.6093, kb_relative_information_score: 208403.1491, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8113, predictive_accuracy: 0.8116, prior_entropy: 0.9835, recall: 0.8116, relative_absolute_error: 0.5687, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.7434, scimark_benchmark: 1073.494, usercpu_time_millis: 5210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 5190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.7654, kappa: 0.5176, kb_relative_information_score: 175908.2208, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7777, predictive_accuracy: 0.772, prior_entropy: 0.9835, recall: 0.772, relative_absolute_error: 0.6424, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.7906, scimark_benchmark: 1386.5717, usercpu_time_millis: 1150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.9081, kappa: 0.8118, kb_relative_information_score: 317610.9531, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.9081, predictive_accuracy: 0.9082, prior_entropy: 0.9835, recall: 0.9082, relative_absolute_error: 0.3243, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2616, root_relative_squared_error: 0.5293, scimark_benchmark: 933.3136, usercpu_time_millis: 8350, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 8130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8427, f_measure: 0.7783, kappa: 0.5442, kb_relative_information_score: 187826.8773, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.779, predictive_accuracy: 0.78, prior_entropy: 0.9835, recall: 0.78, relative_absolute_error: 0.6118, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.396, root_relative_squared_error: 0.8012, scimark_benchmark: 1310.3951, usercpu_time_millis: 1450, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, f_measure: 0.7925, kappa: 0.573, kb_relative_information_score: 197410.3346, mean_absolute_error: 0.2898, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7985, predictive_accuracy: 0.7962, prior_entropy: 0.9835, recall: 0.7962, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3762, root_relative_squared_error: 0.7611, scimark_benchmark: 915.6729, usercpu_time_millis: 25860, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 25580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7777, kappa: 0.5428, kb_relative_information_score: 185011.7342, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7886, predictive_accuracy: 0.7834, prior_entropy: 0.9835, recall: 0.7834, relative_absolute_error: 0.6204, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.7792, scimark_benchmark: 937.1527, usercpu_time_millis: 10350, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 10130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7697, kappa: 0.5265, kb_relative_information_score: 177486.5471, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7828, predictive_accuracy: 0.7763, prior_entropy: 0.9835, recall: 0.7763, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.7887, scimark_benchmark: 1336.2509, usercpu_time_millis: 4780, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 4720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.753, kappa: 0.4937, kb_relative_information_score: 164341.7329, mean_absolute_error: 0.3255, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7736, predictive_accuracy: 0.7627, prior_entropy: 0.9835, recall: 0.7627, relative_absolute_error: 0.6663, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8076, scimark_benchmark: 942.9518, usercpu_time_millis: 2510, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.7514, kappa: 0.4905, kb_relative_information_score: 157841.1632, mean_absolute_error: 0.3327, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7724, predictive_accuracy: 0.7614, prior_entropy: 0.9835, recall: 0.7614, relative_absolute_error: 0.681, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4055, root_relative_squared_error: 0.8204, scimark_benchmark: 1313.9994, usercpu_time_millis: 1210, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.8077, kappa: 0.6054, kb_relative_information_score: 231204.0713, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8076, predictive_accuracy: 0.8083, prior_entropy: 0.9835, recall: 0.8083, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7453, scimark_benchmark: 924.1296, usercpu_time_millis: 151480, usercpu_time_millis_testing: 151470, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8669, f_measure: 0.8079, kappa: 0.6062, kb_relative_information_score: 243472.8064, mean_absolute_error: 0.2289, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8078, predictive_accuracy: 0.8084, prior_entropy: 0.9835, recall: 0.8084, relative_absolute_error: 0.4685, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3779, root_relative_squared_error: 0.7645, scimark_benchmark: 939.5205, usercpu_time_millis: 128540, usercpu_time_millis_testing: 128530, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6368, f_measure: 0.6514, kappa: 0.2843, kb_relative_information_score: 137877.7358, mean_absolute_error: 0.3365, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.6603, predictive_accuracy: 0.6635, prior_entropy: 0.9835, recall: 0.6635, relative_absolute_error: 0.6887, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5801, root_relative_squared_error: 1.1737, scimark_benchmark: 1313.9994, usercpu_time_millis: 2910, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7352, f_measure: 0.7507, kappa: 0.488, kb_relative_information_score: 227177.7185, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7653, predictive_accuracy: 0.7588, prior_entropy: 0.9835, recall: 0.7588, relative_absolute_error: 0.4936, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4911, root_relative_squared_error: 0.9936, scimark_benchmark: 1312.3073, usercpu_time_millis: 428320, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 428270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.7552, kappa: 0.4962, kb_relative_information_score: 157377.279, mean_absolute_error: 0.3328, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7616, predictive_accuracy: 0.7602, prior_entropy: 0.9835, recall: 0.7602, relative_absolute_error: 0.6811, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8215, scimark_benchmark: 1280.6952, usercpu_time_millis: 8600, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 8540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.7517, kappa: 0.4892, kb_relative_information_score: 226226.751, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7606, predictive_accuracy: 0.7578, prior_entropy: 0.9835, recall: 0.7578, relative_absolute_error: 0.4957, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4922, root_relative_squared_error: 0.9957, scimark_benchmark: 938.9967, usercpu_time_millis: 1800, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.7455, kappa: 0.4791, kb_relative_information_score: 185999.5755, mean_absolute_error: 0.2919, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7455, predictive_accuracy: 0.7456, prior_entropy: 0.9835, recall: 0.7456, relative_absolute_error: 0.5975, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8694, scimark_benchmark: 1073.494, usercpu_time_millis: 480, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.8484, kappa: 0.6888, kb_relative_information_score: 273508.6583, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8485, predictive_accuracy: 0.8489, prior_entropy: 0.9835, recall: 0.8489, relative_absolute_error: 0.4135, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6895, scimark_benchmark: 1335.4072, usercpu_time_millis: 17420, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 17180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9243, kappa: 0.845, kb_relative_information_score: 334485.3213, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.9243, predictive_accuracy: 0.9244, prior_entropy: 0.9835, recall: 0.9244, relative_absolute_error: 0.2854, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2399, root_relative_squared_error: 0.4854, scimark_benchmark: 1368.9272, usercpu_time_millis: 23570, usercpu_time_millis_testing: 2550, usercpu_time_millis_training: 21020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.8836, kappa: 0.7619, kb_relative_information_score: 344116.8287, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8837, predictive_accuracy: 0.8836, prior_entropy: 0.9835, recall: 0.8836, relative_absolute_error: 0.2382, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.341, root_relative_squared_error: 0.6898, scimark_benchmark: 1325.942, usercpu_time_millis: 610, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.8825, kappa: 0.7595, kb_relative_information_score: 314904.8843, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8825, predictive_accuracy: 0.8825, prior_entropy: 0.9835, recall: 0.8825, relative_absolute_error: 0.3208, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6218, scimark_benchmark: 1316.0472, usercpu_time_millis: 650, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.8955, kappa: 0.7862, kb_relative_information_score: 336217.6999, mean_absolute_error: 0.132, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8955, predictive_accuracy: 0.8955, prior_entropy: 0.9835, recall: 0.8955, relative_absolute_error: 0.2701, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3028, root_relative_squared_error: 0.6126, scimark_benchmark: 1321.9426, usercpu_time_millis: 20910, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4169, f_measure: 0.4081, kappa: -0.1589, kb_relative_information_score: -101567.6109, mean_absolute_error: 0.5921, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.4266, predictive_accuracy: 0.4079, prior_entropy: 0.9835, recall: 0.4079, relative_absolute_error: 1.2119, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.7695, root_relative_squared_error: 1.5568, scimark_benchmark: 1368.9272, usercpu_time_millis: 19550, usercpu_time_millis_testing: 5910, usercpu_time_millis_training: 13640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8552, kappa: 0.7043, kb_relative_information_score: 300337.7133, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8558, predictive_accuracy: 0.8549, prior_entropy: 0.9835, recall: 0.8549, relative_absolute_error: 0.3424, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.6229, scimark_benchmark: 1466.6185, usercpu_time_millis: 28260, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 27770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.7553, kappa: 0.4964, kb_relative_information_score: 227938.4925, mean_absolute_error: 0.2404, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.76, predictive_accuracy: 0.7596, prior_entropy: 0.9835, recall: 0.7596, relative_absolute_error: 0.492, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4903, root_relative_squared_error: 0.9919, scimark_benchmark: 1466.6185, usercpu_time_millis: 180, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.8177, kappa: 0.6276, kb_relative_information_score: 282087.8223, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8182, predictive_accuracy: 0.8174, prior_entropy: 0.9835, recall: 0.8174, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.8645, scimark_benchmark: 1335.643, usercpu_time_millis: 19700, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 19570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.4204, kb_relative_information_score: -0.3895, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.3311, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1, scimark_benchmark: 1028.5889, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.908, kappa: 0.8116, kb_relative_information_score: 351544.0614, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.908, predictive_accuracy: 0.9079, prior_entropy: 0.9835, recall: 0.9079, relative_absolute_error: 0.2333, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.5759, scimark_benchmark: 977.6382, usercpu_time_millis: 2980, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 2950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, build_cpu_time: 577.9171, build_memory: 1576674647.0285, f_measure: 0.8214, kappa: 0.633, kb_relative_information_score: 284434.389, mean_absolute_error: 0.1809, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8224, predictive_accuracy: 0.8227, prior_entropy: 0.9835, recall: 0.8227, relative_absolute_error: 0.3703, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3882, root_relative_squared_error: 0.7854, scimark_benchmark: 943.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, build_cpu_time: 245.6326, build_memory: 1999198755.6236, f_measure: 0.8202, kappa: 0.6307, kb_relative_information_score: 281342.3462, mean_absolute_error: 0.1847, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8208, predictive_accuracy: 0.8212, prior_entropy: 0.9835, recall: 0.8212, relative_absolute_error: 0.3779, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7901, scimark_benchmark: 946.2416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, build_cpu_time: 149.1857, build_memory: 1158684431.6292, f_measure: 0.8077, kappa: 0.6046, kb_relative_information_score: 272748.2544, mean_absolute_error: 0.1933, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8092, predictive_accuracy: 0.8094, prior_entropy: 0.9835, recall: 0.8094, relative_absolute_error: 0.3956, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8199, scimark_benchmark: 928.3063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, build_cpu_time: 69.9779, build_memory: 1079188529.8089, f_measure: 0.806, kappa: 0.6011, kb_relative_information_score: 269175.8174, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.8071, predictive_accuracy: 0.8075, prior_entropy: 0.9835, recall: 0.8075, relative_absolute_error: 0.4042, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.823, scimark_benchmark: 941.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, build_cpu_time: 35.6104, build_memory: 1131528958.074, f_measure: 0.7932, kappa: 0.5744, kb_relative_information_score: 259733.001, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.7957, predictive_accuracy: 0.7955, prior_entropy: 0.9835, recall: 0.7955, relative_absolute_error: 0.4237, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.857, scimark_benchmark: 940.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, build_cpu_time: 434.4878, build_memory: 1590786029.6063, f_measure: 0.9299, kappa: 0.8566, kb_relative_information_score: 345108.5469, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.9299, predictive_accuracy: 0.93, prior_entropy: 0.9835, recall: 0.93, relative_absolute_error: 0.2606, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.466, scimark_benchmark: 944.7193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, build_cpu_time: 209.4043, build_memory: 1680369171.6592, f_measure: 0.9296, kappa: 0.856, kb_relative_information_score: 345028.031, mean_absolute_error: 0.1273, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.9296, predictive_accuracy: 0.9297, prior_entropy: 0.9835, recall: 0.9297, relative_absolute_error: 0.2605, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.231, root_relative_squared_error: 0.4673, scimark_benchmark: 945.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, build_cpu_time: 136.647, build_memory: 1685910467.7223, f_measure: 0.9286, kappa: 0.8539, kb_relative_information_score: 344732.0526, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.9286, predictive_accuracy: 0.9287, prior_entropy: 0.9835, recall: 0.9287, relative_absolute_error: 0.2607, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.4705, scimark_benchmark: 635.2509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9784, build_cpu_time: 53.35, build_memory: 4882534319.2614, f_measure: 0.9268, kappa: 0.8501, kb_relative_information_score: 344244.9403, mean_absolute_error: 0.1274, mean_prior_absolute_error: 0.4886, number_of_instances: 453120, precision: 0.9268, predictive_accuracy: 0.9268, prior_entropy: 0.9835, recall: 0.9268, relative_absolute_error: 0.2607, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.4764, scimark_benchmark: 943.4562,

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