Task
Supervised Classification on elevators

Supervised Classification on elevators

Task 4416 Supervised Classification elevators 194 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

194 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.8155, kappa: 0.555, kb_relative_information_score: 69012.6095, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8219, predictive_accuracy: 0.8246, prior_entropy: 0.8921, recall: 0.8246, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.7975, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.7989, kappa: 0.5125, kb_relative_information_score: 32506.4636, mean_absolute_error: 0.354, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8114, predictive_accuracy: 0.8124, prior_entropy: 0.8921, recall: 0.8124, relative_absolute_error: 0.8289, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.8432, scimark_benchmark: 972.587, usercpu_time_millis: 4480, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.8033, kappa: 0.5241, kb_relative_information_score: 60305.0735, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8126, predictive_accuracy: 0.815, prior_entropy: 0.8921, recall: 0.815, relative_absolute_error: 0.6537, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7962, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.5997, kappa: 0.0526, kb_relative_information_score: 38426.2326, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.6428, predictive_accuracy: 0.6922, prior_entropy: 0.8921, recall: 0.6922, relative_absolute_error: 0.7207, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.5548, root_relative_squared_error: 1.2006, scimark_benchmark: 904.6764, usercpu_time_millis: 198710, usercpu_time_millis_testing: 56090, usercpu_time_millis_training: 142620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8011, kappa: 0.5227, kb_relative_information_score: 68966.5282, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8024, predictive_accuracy: 0.8082, prior_entropy: 0.8921, recall: 0.8082, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.8063, scimark_benchmark: 938.191, usercpu_time_millis: 290, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.86, kappa: 0.6636, kb_relative_information_score: 87052.5498, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8654, predictive_accuracy: 0.8654, prior_entropy: 0.8921, recall: 0.8654, relative_absolute_error: 0.4923, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.317, root_relative_squared_error: 0.686, scimark_benchmark: 941.6675, usercpu_time_millis: 3840, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 3780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.81, f_measure: 0.7719, kappa: 0.4646, kb_relative_information_score: 67164.9585, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.7714, predictive_accuracy: 0.7726, prior_entropy: 0.8921, recall: 0.7726, relative_absolute_error: 0.5649, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.9461, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.5997, kappa: 0.0526, kb_relative_information_score: 38426.2326, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.6428, predictive_accuracy: 0.6922, prior_entropy: 0.8921, recall: 0.6922, relative_absolute_error: 0.7207, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.5548, root_relative_squared_error: 1.2006, scimark_benchmark: 944.1783, usercpu_time_millis: 194020, usercpu_time_millis_testing: 39590, usercpu_time_millis_training: 154430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.5997, kappa: 0.0526, kb_relative_information_score: 38426.2326, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.6428, predictive_accuracy: 0.6922, prior_entropy: 0.8921, recall: 0.6922, relative_absolute_error: 0.7207, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.5548, root_relative_squared_error: 1.2006, scimark_benchmark: 947.1781, usercpu_time_millis: 172700, usercpu_time_millis_testing: 40380, usercpu_time_millis_training: 132320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.7613, kappa: 0.4428, kb_relative_information_score: 62581.2023, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.7621, predictive_accuracy: 0.7605, prior_entropy: 0.8921, recall: 0.7605, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.9671, scimark_benchmark: 941.3847, usercpu_time_millis: 200, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8619, kappa: 0.6677, kb_relative_information_score: 85289.042, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8689, predictive_accuracy: 0.8678, prior_entropy: 0.8921, recall: 0.8678, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6769, scimark_benchmark: 947.1781, usercpu_time_millis: 11320, usercpu_time_millis_testing: 1100, usercpu_time_millis_training: 10220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.8155, kappa: 0.555, kb_relative_information_score: 69012.6095, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8219, predictive_accuracy: 0.8246, prior_entropy: 0.8921, recall: 0.8246, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.7975, scimark_benchmark: 942.2392, usercpu_time_millis: 310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.7989, kappa: 0.5125, kb_relative_information_score: 32506.4636, mean_absolute_error: 0.354, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8114, predictive_accuracy: 0.8124, prior_entropy: 0.8921, recall: 0.8124, relative_absolute_error: 0.8289, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.8432, scimark_benchmark: 908.9569, usercpu_time_millis: 3910, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.8033, kappa: 0.5241, kb_relative_information_score: 60305.0735, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8126, predictive_accuracy: 0.815, prior_entropy: 0.8921, recall: 0.815, relative_absolute_error: 0.6537, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7962, scimark_benchmark: 940.1541, usercpu_time_millis: 5040, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.5997, kappa: 0.0526, kb_relative_information_score: 38426.2326, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.6428, predictive_accuracy: 0.6922, prior_entropy: 0.8921, recall: 0.6922, relative_absolute_error: 0.7207, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.5548, root_relative_squared_error: 1.2006, scimark_benchmark: 934.7923, usercpu_time_millis: 179470, usercpu_time_millis_testing: 41310, usercpu_time_millis_training: 138160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8011, kappa: 0.5227, kb_relative_information_score: 68966.5282, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8024, predictive_accuracy: 0.8082, prior_entropy: 0.8921, recall: 0.8082, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.8063, scimark_benchmark: 930.404, usercpu_time_millis: 280, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8011, kappa: 0.5227, kb_relative_information_score: 68966.5282, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8024, predictive_accuracy: 0.8082, prior_entropy: 0.8921, recall: 0.8082, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.8063, scimark_benchmark: 930.404, usercpu_time_millis: 320, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.86, kappa: 0.6636, kb_relative_information_score: 87052.5498, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8654, predictive_accuracy: 0.8654, prior_entropy: 0.8921, recall: 0.8654, relative_absolute_error: 0.4923, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.317, root_relative_squared_error: 0.686, scimark_benchmark: 930.404, usercpu_time_millis: 2760, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8011, kappa: 0.5227, kb_relative_information_score: 68966.5282, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8024, predictive_accuracy: 0.8082, prior_entropy: 0.8921, recall: 0.8082, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.8063, scimark_benchmark: 932.438, usercpu_time_millis: 270, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.81, f_measure: 0.7719, kappa: 0.4646, kb_relative_information_score: 67164.9585, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.7714, predictive_accuracy: 0.7726, prior_entropy: 0.8921, recall: 0.7726, relative_absolute_error: 0.5649, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.9461, scimark_benchmark: 932.438, usercpu_time_millis: 8170, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 8080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8619, kappa: 0.6677, kb_relative_information_score: 85289.042, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8689, predictive_accuracy: 0.8678, prior_entropy: 0.8921, recall: 0.8678, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6769, scimark_benchmark: 936.3213, usercpu_time_millis: 14580, usercpu_time_millis_testing: 1490, usercpu_time_millis_training: 13090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8805, kappa: 0.7124, kb_relative_information_score: 92533.8351, mean_absolute_error: 0.202, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8893, predictive_accuracy: 0.8857, prior_entropy: 0.8921, recall: 0.8857, relative_absolute_error: 0.473, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.6357, scimark_benchmark: 936.2574, usercpu_time_millis: 354400, usercpu_time_millis_testing: 66360, usercpu_time_millis_training: 288040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8807, kappa: 0.7127, kb_relative_information_score: 92499.015, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8892, predictive_accuracy: 0.8858, prior_entropy: 0.8921, recall: 0.8858, relative_absolute_error: 0.4727, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.6369, scimark_benchmark: 938.4601, usercpu_time_millis: 133010, usercpu_time_millis_testing: 18240, usercpu_time_millis_training: 114770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.8791, kappa: 0.7092, kb_relative_information_score: 92657.9928, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8868, predictive_accuracy: 0.8841, prior_entropy: 0.8921, recall: 0.8841, relative_absolute_error: 0.469, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.2966, root_relative_squared_error: 0.6419, scimark_benchmark: 933.9, usercpu_time_millis: 40170, usercpu_time_millis_testing: 3070, usercpu_time_millis_training: 37100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9237, f_measure: 0.8755, kappa: 0.701, kb_relative_information_score: 92041.9481, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8818, predictive_accuracy: 0.8803, prior_entropy: 0.8921, recall: 0.8803, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.6525, scimark_benchmark: 935.3212, usercpu_time_millis: 17290, usercpu_time_millis_testing: 1510, usercpu_time_millis_training: 15780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, f_measure: 0.7695, kappa: 0.4459, kb_relative_information_score: 46731.9487, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.7699, predictive_accuracy: 0.7788, prior_entropy: 0.8921, recall: 0.7788, relative_absolute_error: 0.7333, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8757, scimark_benchmark: 936.1714, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, f_measure: 0.7695, kappa: 0.4459, kb_relative_information_score: 46731.9487, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.7699, predictive_accuracy: 0.7788, prior_entropy: 0.8921, recall: 0.7788, relative_absolute_error: 0.7333, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8757, scimark_benchmark: 889.4922, usercpu_time_millis: 220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, f_measure: 0.7695, kappa: 0.4459, kb_relative_information_score: 46731.9487, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.7699, predictive_accuracy: 0.7788, prior_entropy: 0.8921, recall: 0.7788, relative_absolute_error: 0.7333, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8757, scimark_benchmark: 894.7131, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, f_measure: 0.7695, kappa: 0.4459, kb_relative_information_score: 46731.9487, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.7699, predictive_accuracy: 0.7788, prior_entropy: 0.8921, recall: 0.7788, relative_absolute_error: 0.7333, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8757, scimark_benchmark: 936.1714, usercpu_time_millis: 200, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, f_measure: 0.7695, kappa: 0.4459, kb_relative_information_score: 46731.9487, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.7699, predictive_accuracy: 0.7788, prior_entropy: 0.8921, recall: 0.7788, relative_absolute_error: 0.7333, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4046, root_relative_squared_error: 0.8757, scimark_benchmark: 929.0296, usercpu_time_millis: 220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.7972, kappa: 0.5105, kb_relative_information_score: 61939.1672, mean_absolute_error: 0.2705, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8026, predictive_accuracy: 0.8075, prior_entropy: 0.8921, recall: 0.8075, relative_absolute_error: 0.6333, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.8089, scimark_benchmark: 941.9549, usercpu_time_millis: 410, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.7971, kappa: 0.5085, kb_relative_information_score: 86920.7714, mean_absolute_error: 0.1914, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8082, predictive_accuracy: 0.8102, prior_entropy: 0.8921, recall: 0.8102, relative_absolute_error: 0.4482, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4072, root_relative_squared_error: 0.8812, scimark_benchmark: 938.3115, usercpu_time_millis: 10720, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 10600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.7875, kappa: 0.4856, kb_relative_information_score: 82689.6045, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.7956, predictive_accuracy: 0.8003, prior_entropy: 0.8921, recall: 0.8003, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.9072, scimark_benchmark: 938.3115, usercpu_time_millis: 5320, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 5260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7789, kappa: 0.465, kb_relative_information_score: 79702.8986, mean_absolute_error: 0.2084, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.7859, predictive_accuracy: 0.7921, prior_entropy: 0.8921, recall: 0.7921, relative_absolute_error: 0.488, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.9344, scimark_benchmark: 929.0296, usercpu_time_millis: 2880, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.772, kappa: 0.4491, kb_relative_information_score: 76186.6382, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.7764, predictive_accuracy: 0.7844, prior_entropy: 0.8921, recall: 0.7844, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4493, root_relative_squared_error: 0.9722, scimark_benchmark: 938.3115, usercpu_time_millis: 1620, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7881, f_measure: 0.7699, kappa: 0.4447, kb_relative_information_score: 74429.9496, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.7729, predictive_accuracy: 0.7815, prior_entropy: 0.8921, recall: 0.7815, relative_absolute_error: 0.52, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4565, root_relative_squared_error: 0.9879, scimark_benchmark: 938.3115, usercpu_time_millis: 670, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5647, kb_relative_information_score: 37901.9158, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.4774, predictive_accuracy: 0.6909, prior_entropy: 0.8921, recall: 0.6909, relative_absolute_error: 0.7236, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.5559, root_relative_squared_error: 1.203, scimark_benchmark: 922.8232, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8187, f_measure: 0.8454, kappa: 0.6326, kb_relative_information_score: 93581.5793, mean_absolute_error: 0.1856, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8453, predictive_accuracy: 0.8483, prior_entropy: 0.8921, recall: 0.8483, relative_absolute_error: 0.4345, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.7953, scimark_benchmark: 922.8232, usercpu_time_millis: 1600, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 1410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.8503, kappa: 0.6428, kb_relative_information_score: 86957.616, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8513, predictive_accuracy: 0.854, prior_entropy: 0.8921, recall: 0.854, relative_absolute_error: 0.4844, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3295, root_relative_squared_error: 0.7131, scimark_benchmark: 942.6192, usercpu_time_millis: 390800, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 390770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7325, f_measure: 0.7659, kappa: 0.4323, kb_relative_information_score: 38863.3059, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.7754, predictive_accuracy: 0.7822, prior_entropy: 0.8921, recall: 0.7822, relative_absolute_error: 0.7931, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8821, scimark_benchmark: 931.7994, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.8155, kappa: 0.555, kb_relative_information_score: 69012.6095, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8219, predictive_accuracy: 0.8246, prior_entropy: 0.8921, recall: 0.8246, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.7975, scimark_benchmark: 907.1091, usercpu_time_millis: 330, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.7989, kappa: 0.5125, kb_relative_information_score: 32506.4636, mean_absolute_error: 0.354, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8114, predictive_accuracy: 0.8124, prior_entropy: 0.8921, recall: 0.8124, relative_absolute_error: 0.8289, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.8432, scimark_benchmark: 906.0884, usercpu_time_millis: 2120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.8033, kappa: 0.5241, kb_relative_information_score: 60305.0735, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8126, predictive_accuracy: 0.815, prior_entropy: 0.8921, recall: 0.815, relative_absolute_error: 0.6537, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7962, scimark_benchmark: 938.9926, usercpu_time_millis: 5130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 5120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.5997, kappa: 0.0526, kb_relative_information_score: 38426.2326, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.6428, predictive_accuracy: 0.6922, prior_entropy: 0.8921, recall: 0.6922, relative_absolute_error: 0.7207, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.5548, root_relative_squared_error: 1.2006, scimark_benchmark: 939.3886, usercpu_time_millis: 217970, usercpu_time_millis_testing: 44590, usercpu_time_millis_training: 173380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8011, kappa: 0.5227, kb_relative_information_score: 68966.5282, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8024, predictive_accuracy: 0.8082, prior_entropy: 0.8921, recall: 0.8082, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.8063, scimark_benchmark: 945.0194, usercpu_time_millis: 260, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8011, kappa: 0.5227, kb_relative_information_score: 68966.5282, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8024, predictive_accuracy: 0.8082, prior_entropy: 0.8921, recall: 0.8082, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.8063, scimark_benchmark: 946.9304, usercpu_time_millis: 290, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.86, kappa: 0.6636, kb_relative_information_score: 87052.5498, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8654, predictive_accuracy: 0.8654, prior_entropy: 0.8921, recall: 0.8654, relative_absolute_error: 0.4923, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.317, root_relative_squared_error: 0.686, scimark_benchmark: 945.0194, usercpu_time_millis: 2970, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 2900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8011, kappa: 0.5227, kb_relative_information_score: 68966.5282, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8024, predictive_accuracy: 0.8082, prior_entropy: 0.8921, recall: 0.8082, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.8063, scimark_benchmark: 890.5596, usercpu_time_millis: 250, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.81, f_measure: 0.7719, kappa: 0.4646, kb_relative_information_score: 67164.9585, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.7714, predictive_accuracy: 0.7726, prior_entropy: 0.8921, recall: 0.7726, relative_absolute_error: 0.5649, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.9461, scimark_benchmark: 910.6607, usercpu_time_millis: 8020, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 7940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8619, kappa: 0.6677, kb_relative_information_score: 85289.042, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8689, predictive_accuracy: 0.8678, prior_entropy: 0.8921, recall: 0.8678, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6769, scimark_benchmark: 949.7766, usercpu_time_millis: 12250, usercpu_time_millis_testing: 1520, usercpu_time_millis_training: 10730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.8155, kappa: 0.555, kb_relative_information_score: 69012.6095, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8219, predictive_accuracy: 0.8246, prior_entropy: 0.8921, recall: 0.8246, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.7975, scimark_benchmark: 936.4883, usercpu_time_millis: 310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.7724, kappa: 0.4489, kb_relative_information_score: 52093.6004, mean_absolute_error: 0.2975, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.779, predictive_accuracy: 0.7862, prior_entropy: 0.8921, recall: 0.7862, relative_absolute_error: 0.6966, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8685, scimark_benchmark: 946.9304, usercpu_time_millis: 930, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.5997, kappa: 0.0526, kb_relative_information_score: 38426.2326, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.6428, predictive_accuracy: 0.6922, prior_entropy: 0.8921, recall: 0.6922, relative_absolute_error: 0.7207, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.5548, root_relative_squared_error: 1.2006, scimark_benchmark: 1322.0065, usercpu_time_millis: 363470, usercpu_time_millis_testing: 84710, usercpu_time_millis_training: 278760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8011, kappa: 0.5227, kb_relative_information_score: 68966.5282, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8024, predictive_accuracy: 0.8082, prior_entropy: 0.8921, recall: 0.8082, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.8063, scimark_benchmark: 1346.2927, usercpu_time_millis: 220, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9495, f_measure: 0.9032, kappa: 0.769, kb_relative_information_score: 111327.7954, mean_absolute_error: 0.1457, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.9059, predictive_accuracy: 0.9055, prior_entropy: 0.8921, recall: 0.9055, relative_absolute_error: 0.3412, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.2664, root_relative_squared_error: 0.5766, scimark_benchmark: 1332.1612, usercpu_time_millis: 2515790, usercpu_time_millis_testing: 47520, usercpu_time_millis_training: 2468270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8011, kappa: 0.5227, kb_relative_information_score: 68966.5282, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8024, predictive_accuracy: 0.8082, prior_entropy: 0.8921, recall: 0.8082, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.8063, scimark_benchmark: 926.6704, usercpu_time_millis: 300, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.81, f_measure: 0.7719, kappa: 0.4646, kb_relative_information_score: 67164.9585, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.7714, predictive_accuracy: 0.7726, prior_entropy: 0.8921, recall: 0.7726, relative_absolute_error: 0.5649, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.9461, scimark_benchmark: 1332.9478, usercpu_time_millis: 11360, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 11180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.7613, kappa: 0.4428, kb_relative_information_score: 62581.2023, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.7621, predictive_accuracy: 0.7605, prior_entropy: 0.8921, recall: 0.7605, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.9671, scimark_benchmark: 1313.8988, usercpu_time_millis: 180, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8011, kappa: 0.5227, kb_relative_information_score: 68966.5282, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8024, predictive_accuracy: 0.8082, prior_entropy: 0.8921, recall: 0.8082, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.8063, scimark_benchmark: 1339.2472, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8011, kappa: 0.5227, kb_relative_information_score: 68966.5282, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8024, predictive_accuracy: 0.8082, prior_entropy: 0.8921, recall: 0.8082, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.8063, scimark_benchmark: 1286.2211, usercpu_time_millis: 170, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8011, kappa: 0.5227, kb_relative_information_score: 68966.5282, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8024, predictive_accuracy: 0.8082, prior_entropy: 0.8921, recall: 0.8082, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.8063, scimark_benchmark: 1347.6543, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.8155, kappa: 0.555, kb_relative_information_score: 69012.6095, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8219, predictive_accuracy: 0.8246, prior_entropy: 0.8921, recall: 0.8246, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.7975, scimark_benchmark: 1322.3407, usercpu_time_millis: 240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.5997, kappa: 0.0526, kb_relative_information_score: 38426.2326, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.6428, predictive_accuracy: 0.6922, prior_entropy: 0.8921, recall: 0.6922, relative_absolute_error: 0.7207, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.5548, root_relative_squared_error: 1.2006, scimark_benchmark: 1310.3168, usercpu_time_millis: 579860, usercpu_time_millis_testing: 90740, usercpu_time_millis_training: 489120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.7613, kappa: 0.4428, kb_relative_information_score: 62581.2023, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.7621, predictive_accuracy: 0.7605, prior_entropy: 0.8921, recall: 0.7605, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.9671, scimark_benchmark: 1325.8468, usercpu_time_millis: 140, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8011, kappa: 0.5227, kb_relative_information_score: 68966.5282, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8024, predictive_accuracy: 0.8082, prior_entropy: 0.8921, recall: 0.8082, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.8063, scimark_benchmark: 1325.8468, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.8155, kappa: 0.555, kb_relative_information_score: 69012.6095, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8219, predictive_accuracy: 0.8246, prior_entropy: 0.8921, recall: 0.8246, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.7975, scimark_benchmark: 1313.8988, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8011, kappa: 0.5227, kb_relative_information_score: 68966.5282, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8024, predictive_accuracy: 0.8082, prior_entropy: 0.8921, recall: 0.8082, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.8063, scimark_benchmark: 1306.9281, usercpu_time_millis: 180, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, f_measure: 0.8155, kappa: 0.555, kb_relative_information_score: 69012.6095, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8219, predictive_accuracy: 0.8246, prior_entropy: 0.8921, recall: 0.8246, relative_absolute_error: 0.6026, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3685, root_relative_squared_error: 0.7975, scimark_benchmark: 1310.3168, usercpu_time_millis: 280, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8514, kappa: 0.6417, kb_relative_information_score: 78799.4882, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8599, predictive_accuracy: 0.8585, prior_entropy: 0.8921, recall: 0.8585, relative_absolute_error: 0.5516, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3218, root_relative_squared_error: 0.6965, scimark_benchmark: 1337.9552, usercpu_time_millis: 390, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.7613, kappa: 0.4428, kb_relative_information_score: 62581.2023, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.7621, predictive_accuracy: 0.7605, prior_entropy: 0.8921, recall: 0.7605, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.9671, scimark_benchmark: 1331.2559, usercpu_time_millis: 320, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8011, kappa: 0.5227, kb_relative_information_score: 68966.5282, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8024, predictive_accuracy: 0.8082, prior_entropy: 0.8921, recall: 0.8082, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.8063, scimark_benchmark: 1319.4538, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.8955, kappa: 0.7505, kb_relative_information_score: 108683.4989, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8983, predictive_accuracy: 0.8982, prior_entropy: 0.8921, recall: 0.8982, relative_absolute_error: 0.3547, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.5957, scimark_benchmark: 1331.2559, usercpu_time_millis: 656190, usercpu_time_millis_testing: 18560, usercpu_time_millis_training: 637630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8011, kappa: 0.5227, kb_relative_information_score: 68966.5282, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8024, predictive_accuracy: 0.8082, prior_entropy: 0.8921, recall: 0.8082, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.8063, scimark_benchmark: 1321.8321, usercpu_time_millis: 170, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8011, kappa: 0.5227, kb_relative_information_score: 68966.5282, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8024, predictive_accuracy: 0.8082, prior_entropy: 0.8921, recall: 0.8082, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.8063, scimark_benchmark: 1337.9552, usercpu_time_millis: 180, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8011, kappa: 0.5227, kb_relative_information_score: 68966.5282, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8024, predictive_accuracy: 0.8082, prior_entropy: 0.8921, recall: 0.8082, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.8063, scimark_benchmark: 1310.3168, usercpu_time_millis: 210, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.7613, kappa: 0.4428, kb_relative_information_score: 62581.2023, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.7621, predictive_accuracy: 0.7605, prior_entropy: 0.8921, recall: 0.7605, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.9671, scimark_benchmark: 1321.8321, usercpu_time_millis: 140, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8011, kappa: 0.5227, kb_relative_information_score: 68966.5282, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8024, predictive_accuracy: 0.8082, prior_entropy: 0.8921, recall: 0.8082, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.8063, scimark_benchmark: 1337.3324, usercpu_time_millis: 230, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8011, kappa: 0.5227, kb_relative_information_score: 68966.5282, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8024, predictive_accuracy: 0.8082, prior_entropy: 0.8921, recall: 0.8082, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.8063, scimark_benchmark: 1331.1314, usercpu_time_millis: 170, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8011, kappa: 0.5227, kb_relative_information_score: 68966.5282, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8024, predictive_accuracy: 0.8082, prior_entropy: 0.8921, recall: 0.8082, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.8063, scimark_benchmark: 1342.2845, usercpu_time_millis: 210, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.86, kappa: 0.6636, kb_relative_information_score: 87052.5498, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8654, predictive_accuracy: 0.8654, prior_entropy: 0.8921, recall: 0.8654, relative_absolute_error: 0.4923, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.317, root_relative_squared_error: 0.686, scimark_benchmark: 1321.8321, usercpu_time_millis: 2070, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8011, kappa: 0.5227, kb_relative_information_score: 68966.5282, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8024, predictive_accuracy: 0.8082, prior_entropy: 0.8921, recall: 0.8082, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.8063, scimark_benchmark: 1326.2019, usercpu_time_millis: 160, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.81, f_measure: 0.7719, kappa: 0.4646, kb_relative_information_score: 67164.9585, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.7714, predictive_accuracy: 0.7726, prior_entropy: 0.8921, recall: 0.7726, relative_absolute_error: 0.5649, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.9461, scimark_benchmark: 1326.2019, usercpu_time_millis: 8190, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 8030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8619, kappa: 0.6677, kb_relative_information_score: 85289.042, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8689, predictive_accuracy: 0.8678, prior_entropy: 0.8921, recall: 0.8678, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6769, scimark_benchmark: 1354.5533, usercpu_time_millis: 10470, usercpu_time_millis_testing: 1260, usercpu_time_millis_training: 9210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.8965, kappa: 0.7535, kb_relative_information_score: 122418.2476, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8981, predictive_accuracy: 0.8987, prior_entropy: 0.8921, recall: 0.8987, relative_absolute_error: 0.2486, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.302, root_relative_squared_error: 0.6536, scimark_benchmark: 1256.2802, usercpu_time_millis: 3700, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 3270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.8477, kappa: 0.6372, kb_relative_information_score: 94583.7745, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8481, predictive_accuracy: 0.851, prior_entropy: 0.8921, recall: 0.851, relative_absolute_error: 0.4291, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3651, root_relative_squared_error: 0.79, scimark_benchmark: 1364.991, usercpu_time_millis: 1660, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8423, f_measure: 0.8033, kappa: 0.5241, kb_relative_information_score: 60305.0735, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8126, predictive_accuracy: 0.815, prior_entropy: 0.8921, recall: 0.815, relative_absolute_error: 0.6537, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7962, scimark_benchmark: 1321.8132, usercpu_time_millis: 4440, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.5997, kappa: 0.0526, kb_relative_information_score: 38426.2326, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.6428, predictive_accuracy: 0.6922, prior_entropy: 0.8921, recall: 0.6922, relative_absolute_error: 0.7207, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.5548, root_relative_squared_error: 1.2006, scimark_benchmark: 1317.5857, usercpu_time_millis: 337990, usercpu_time_millis_testing: 85270, usercpu_time_millis_training: 252720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8011, kappa: 0.5227, kb_relative_information_score: 68966.5282, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8024, predictive_accuracy: 0.8082, prior_entropy: 0.8921, recall: 0.8082, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.8063, scimark_benchmark: 1366.2491, usercpu_time_millis: 170, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8011, kappa: 0.5227, kb_relative_information_score: 68966.5282, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8024, predictive_accuracy: 0.8082, prior_entropy: 0.8921, recall: 0.8082, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.8063, scimark_benchmark: 1326.0745, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8619, kappa: 0.6677, kb_relative_information_score: 85289.042, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8689, predictive_accuracy: 0.8678, prior_entropy: 0.8921, recall: 0.8678, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6769, scimark_benchmark: 1292.1745, usercpu_time_millis: 14210, usercpu_time_millis_testing: 2390, usercpu_time_millis_training: 11820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8011, kappa: 0.5227, kb_relative_information_score: 68966.5282, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8024, predictive_accuracy: 0.8082, prior_entropy: 0.8921, recall: 0.8082, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.8063, scimark_benchmark: 1336.4564, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.7989, kappa: 0.5125, kb_relative_information_score: 32506.4636, mean_absolute_error: 0.354, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8114, predictive_accuracy: 0.8124, prior_entropy: 0.8921, recall: 0.8124, relative_absolute_error: 0.8289, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.8432, scimark_benchmark: 1346.6261, usercpu_time_millis: 1420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8547, f_measure: 0.8083, kappa: 0.5384, kb_relative_information_score: 71076.6943, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8122, predictive_accuracy: 0.8167, prior_entropy: 0.8921, recall: 0.8167, relative_absolute_error: 0.5742, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7872, scimark_benchmark: 1350.007, usercpu_time_millis: 1120, usercpu_time_millis_testing: 910, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.81, f_measure: 0.7719, kappa: 0.4646, kb_relative_information_score: 67164.9585, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.7714, predictive_accuracy: 0.7726, prior_entropy: 0.8921, recall: 0.7726, relative_absolute_error: 0.5649, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.9461, scimark_benchmark: 1297.2338, usercpu_time_millis: 9760, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 9600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.8619, kappa: 0.6677, kb_relative_information_score: 85289.042, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8689, predictive_accuracy: 0.8678, prior_entropy: 0.8921, recall: 0.8678, relative_absolute_error: 0.5076, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6769, scimark_benchmark: 942.9708, usercpu_time_millis: 12780, usercpu_time_millis_testing: 1440, usercpu_time_millis_training: 11340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8011, kappa: 0.5227, kb_relative_information_score: 68966.5282, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8024, predictive_accuracy: 0.8082, prior_entropy: 0.8921, recall: 0.8082, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.8063, scimark_benchmark: 932.5646, usercpu_time_millis: 430, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8011, kappa: 0.5227, kb_relative_information_score: 68966.5282, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8024, predictive_accuracy: 0.8082, prior_entropy: 0.8921, recall: 0.8082, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.8063, scimark_benchmark: 1341.5795, usercpu_time_millis: 180, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8011, kappa: 0.5227, kb_relative_information_score: 68966.5282, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8024, predictive_accuracy: 0.8082, prior_entropy: 0.8921, recall: 0.8082, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.8063, scimark_benchmark: 918.0213, usercpu_time_millis: 280, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8448, f_measure: 0.8011, kappa: 0.5227, kb_relative_information_score: 68966.5282, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.8024, predictive_accuracy: 0.8082, prior_entropy: 0.8921, recall: 0.8082, relative_absolute_error: 0.5825, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.3726, root_relative_squared_error: 0.8063, scimark_benchmark: 918.0213, usercpu_time_millis: 280, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.7613, kappa: 0.4428, kb_relative_information_score: 62581.2023, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.4271, number_of_instances: 165990, precision: 0.7621, predictive_accuracy: 0.7605, prior_entropy: 0.8921, recall: 0.7605, relative_absolute_error: 0.5894, root_mean_prior_squared_error: 0.4621, root_mean_squared_error: 0.4469, root_relative_squared_error: 0.9671, scimark_benchmark: 1347.993, usercpu_time_millis: 180, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 130,

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