OpenML
Supervised Classification on electricity

Supervised Classification on electricity

Task 1943 Supervised Classification electricity 198 runs submitted
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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,
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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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs