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Supervised Classification on fri_c0_500_25

Supervised Classification on fri_c0_500_25

Task 4494 Supervised Classification fri_c0_500_25 221 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.7668, kappa: 0.5334, kb_relative_information_score: 1928.222, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.7668, predictive_accuracy: 0.7668, prior_entropy: 0.9997, recall: 0.7668, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.794, scimark_benchmark: 1316.178, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.7668, kappa: 0.5334, kb_relative_information_score: 1928.222, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.7668, predictive_accuracy: 0.7668, prior_entropy: 0.9997, recall: 0.7668, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.794, scimark_benchmark: 1313.5633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.8005, kappa: 0.6009, kb_relative_information_score: 2094.3394, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.8006, predictive_accuracy: 0.8006, prior_entropy: 0.9997, recall: 0.8006, relative_absolute_error: 0.6183, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.7385, scimark_benchmark: 1349.9643, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7973, kappa: 0.5944, kb_relative_information_score: 2972.8282, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.7975, predictive_accuracy: 0.7974, prior_entropy: 0.9997, recall: 0.7974, relative_absolute_error: 0.4054, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9004, scimark_benchmark: 1350.8432, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7694, kappa: 0.5387, kb_relative_information_score: 2135.5254, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.7695, predictive_accuracy: 0.7694, prior_entropy: 0.9997, recall: 0.7694, relative_absolute_error: 0.5977, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8292, scimark_benchmark: 1342.7125, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.8424, kappa: 0.6847, kb_relative_information_score: 1890.263, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.8436, predictive_accuracy: 0.8426, prior_entropy: 0.9997, recall: 0.8426, relative_absolute_error: 0.6701, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.7405, scimark_benchmark: 1333.202, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7973, kappa: 0.5944, kb_relative_information_score: 2972.8282, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.7975, predictive_accuracy: 0.7974, prior_entropy: 0.9997, recall: 0.7974, relative_absolute_error: 0.4054, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9004, scimark_benchmark: 1320.7088, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7973, kappa: 0.5944, kb_relative_information_score: 2972.8282, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.7975, predictive_accuracy: 0.7974, prior_entropy: 0.9997, recall: 0.7974, relative_absolute_error: 0.4054, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9004, scimark_benchmark: 1311.7006, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.8424, kappa: 0.6847, kb_relative_information_score: 1890.263, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.8436, predictive_accuracy: 0.8426, prior_entropy: 0.9997, recall: 0.8426, relative_absolute_error: 0.6701, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.7405, scimark_benchmark: 1347.993, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7973, kappa: 0.5944, kb_relative_information_score: 2972.8282, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.7975, predictive_accuracy: 0.7974, prior_entropy: 0.9997, recall: 0.7974, relative_absolute_error: 0.4054, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9004, scimark_benchmark: 938.0414, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.7694, kappa: 0.5387, kb_relative_information_score: 2135.5254, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.7695, predictive_accuracy: 0.7694, prior_entropy: 0.9997, recall: 0.7694, relative_absolute_error: 0.5977, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8292, scimark_benchmark: 940.3347, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.7668, kappa: 0.5334, kb_relative_information_score: 1928.222, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.7668, predictive_accuracy: 0.7668, prior_entropy: 0.9997, recall: 0.7668, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.794, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.766, kappa: 0.5318, kb_relative_information_score: 1904.3118, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.766, predictive_accuracy: 0.766, prior_entropy: 0.9997, recall: 0.766, relative_absolute_error: 0.6481, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.7945, scimark_benchmark: 938.0414, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.7668, kappa: 0.5334, kb_relative_information_score: 1928.222, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.7668, predictive_accuracy: 0.7668, prior_entropy: 0.9997, recall: 0.7668, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.794, scimark_benchmark: 918.0213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8048, f_measure: 0.7518, kappa: 0.5035, kb_relative_information_score: 1993.9497, mean_absolute_error: 0.3127, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.7518, predictive_accuracy: 0.7518, prior_entropy: 0.9997, recall: 0.7518, relative_absolute_error: 0.6257, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.858, scimark_benchmark: 1335.2029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.81, f_measure: 0.7896, kappa: 0.5791, kb_relative_information_score: 2771.7217, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.7897, predictive_accuracy: 0.7896, prior_entropy: 0.9997, recall: 0.7896, relative_absolute_error: 0.451, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4353, root_relative_squared_error: 0.8708, scimark_benchmark: 1059.8591, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.7668, kappa: 0.5334, kb_relative_information_score: 1928.222, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.7668, predictive_accuracy: 0.7668, prior_entropy: 0.9997, recall: 0.7668, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.794, scimark_benchmark: 1345.7204, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.8005, kappa: 0.6009, kb_relative_information_score: 2094.3394, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.8006, predictive_accuracy: 0.8006, prior_entropy: 0.9997, recall: 0.8006, relative_absolute_error: 0.6183, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.7385, scimark_benchmark: 1278.6629, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.7668, kappa: 0.5334, kb_relative_information_score: 1928.222, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.7668, predictive_accuracy: 0.7668, prior_entropy: 0.9997, recall: 0.7668, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.794, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.8424, kappa: 0.6847, kb_relative_information_score: 1890.263, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.8436, predictive_accuracy: 0.8426, prior_entropy: 0.9997, recall: 0.8426, relative_absolute_error: 0.6701, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.7405, scimark_benchmark: 1315.933, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.766, kappa: 0.5318, kb_relative_information_score: 1904.3118, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.766, predictive_accuracy: 0.766, prior_entropy: 0.9997, recall: 0.766, relative_absolute_error: 0.6481, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3972, root_relative_squared_error: 0.7945, scimark_benchmark: 1350.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.7668, kappa: 0.5334, kb_relative_information_score: 1928.222, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.7668, predictive_accuracy: 0.7668, prior_entropy: 0.9997, recall: 0.7668, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.794, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.7668, kappa: 0.5334, kb_relative_information_score: 1928.222, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.7668, predictive_accuracy: 0.7668, prior_entropy: 0.9997, recall: 0.7668, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.794, scimark_benchmark: 1354.3488, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.7668, kappa: 0.5334, kb_relative_information_score: 1928.222, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.7668, predictive_accuracy: 0.7668, prior_entropy: 0.9997, recall: 0.7668, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.794, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.7668, kappa: 0.5334, kb_relative_information_score: 1928.222, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.7668, predictive_accuracy: 0.7668, prior_entropy: 0.9997, recall: 0.7668, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.794, scimark_benchmark: 933.1165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.8424, kappa: 0.6847, kb_relative_information_score: 1890.263, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.8436, predictive_accuracy: 0.8426, prior_entropy: 0.9997, recall: 0.8426, relative_absolute_error: 0.6701, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.7405, scimark_benchmark: 1357.5655, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.8208, kappa: 0.6416, kb_relative_information_score: 3065.22, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.8209, predictive_accuracy: 0.8208, prior_entropy: 0.9997, recall: 0.8208, relative_absolute_error: 0.3958, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3549, root_relative_squared_error: 0.7099, scimark_benchmark: 1339.8573, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.7668, kappa: 0.5334, kb_relative_information_score: 1928.222, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.7668, predictive_accuracy: 0.7668, prior_entropy: 0.9997, recall: 0.7668, relative_absolute_error: 0.6431, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.794, scimark_benchmark: 1151.6869, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.8005, kappa: 0.6009, kb_relative_information_score: 2094.3394, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.8006, predictive_accuracy: 0.8006, prior_entropy: 0.9997, recall: 0.8006, relative_absolute_error: 0.6183, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.7385, scimark_benchmark: 1340.1351, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.7467, kappa: 0.4932, kb_relative_information_score: 2180.8365, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.7468, predictive_accuracy: 0.7468, prior_entropy: 0.9997, recall: 0.7468, relative_absolute_error: 0.5799, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9373, scimark_benchmark: 1151.6869, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8212, kappa: 0.6424, kb_relative_information_score: 3105.7574, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.8213, predictive_accuracy: 0.8212, prior_entropy: 0.9997, recall: 0.8212, relative_absolute_error: 0.3841, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3705, root_relative_squared_error: 0.7412, scimark_benchmark: 889.3151, usercpu_time_millis: 420, usercpu_time_millis_training: 420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8158, kappa: 0.6315, kb_relative_information_score: 2272.6754, mean_absolute_error: 0.2916, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.8166, predictive_accuracy: 0.816, prior_entropy: 0.9997, recall: 0.816, relative_absolute_error: 0.5835, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7114, scimark_benchmark: 918.0213, usercpu_time_millis: 1060, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.8195, kappa: 0.6388, kb_relative_information_score: 1327.4451, mean_absolute_error: 0.3907, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.82, predictive_accuracy: 0.8196, prior_entropy: 0.9997, recall: 0.8196, relative_absolute_error: 0.7818, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4064, root_relative_squared_error: 0.813, scimark_benchmark: 1342.2985, usercpu_time_millis: 310, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.7976, kappa: 0.595, kb_relative_information_score: 2974.8293, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.7976, predictive_accuracy: 0.7976, prior_entropy: 0.9997, recall: 0.7976, relative_absolute_error: 0.405, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9, scimark_benchmark: 1327.035, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7735, f_measure: 0.7614, kappa: 0.5229, kb_relative_information_score: 2572.5836, mean_absolute_error: 0.244, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.7618, predictive_accuracy: 0.7614, prior_entropy: 0.9997, recall: 0.7614, relative_absolute_error: 0.4882, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.9509, scimark_benchmark: 833.3193, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, f_measure: 0.8047, kappa: 0.6092, kb_relative_information_score: 2855.8423, mean_absolute_error: 0.2168, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.8051, predictive_accuracy: 0.8048, prior_entropy: 0.9997, recall: 0.8048, relative_absolute_error: 0.4337, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4014, root_relative_squared_error: 0.803, scimark_benchmark: 1350.4702, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.8206, kappa: 0.6411, kb_relative_information_score: 1339.6179, mean_absolute_error: 0.3897, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.8213, predictive_accuracy: 0.8208, prior_entropy: 0.9997, recall: 0.8208, relative_absolute_error: 0.7797, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8106, scimark_benchmark: 1305.7231, usercpu_time_millis: 680, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 630,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7467, f_measure: 0.7469, kappa: 0.4936, kb_relative_information_score: 2468.5395, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.747, predictive_accuracy: 0.747, prior_entropy: 0.9997, recall: 0.747, relative_absolute_error: 0.5062, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0062, scimark_benchmark: 937.1527, usercpu_time_millis: 680, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.8005, kappa: 0.6009, kb_relative_information_score: 2094.3394, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.8006, predictive_accuracy: 0.8006, prior_entropy: 0.9997, recall: 0.8006, relative_absolute_error: 0.6183, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.7385, scimark_benchmark: 1339.4189, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, f_measure: 0.8144, kappa: 0.6287, kb_relative_information_score: 2187.106, mean_absolute_error: 0.3007, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.8151, predictive_accuracy: 0.8146, prior_entropy: 0.9997, recall: 0.8146, relative_absolute_error: 0.6016, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.724, scimark_benchmark: 899.5042, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.8286, kappa: 0.6571, kb_relative_information_score: 2847.3985, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.8286, predictive_accuracy: 0.8286, prior_entropy: 0.9997, recall: 0.8286, relative_absolute_error: 0.4515, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6785, scimark_benchmark: 1335.4072, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8189, kappa: 0.6377, kb_relative_information_score: 2596.7234, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.8191, predictive_accuracy: 0.819, prior_entropy: 0.9997, recall: 0.819, relative_absolute_error: 0.509, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6877, scimark_benchmark: 937.1527, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9068, f_measure: 0.8172, kappa: 0.6343, kb_relative_information_score: 2274.5311, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.8182, predictive_accuracy: 0.8174, prior_entropy: 0.9997, recall: 0.8174, relative_absolute_error: 0.5823, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3577, root_relative_squared_error: 0.7155, scimark_benchmark: 869.6028, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8072, kappa: 0.6143, kb_relative_information_score: 2258.311, mean_absolute_error: 0.2918, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.8078, predictive_accuracy: 0.8074, prior_entropy: 0.9997, recall: 0.8074, relative_absolute_error: 0.5838, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7235, scimark_benchmark: 1304.9611, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.7768, kappa: 0.5536, kb_relative_information_score: 2632.2363, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.777, predictive_accuracy: 0.7768, prior_entropy: 0.9997, recall: 0.7768, relative_absolute_error: 0.4815, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.8846, scimark_benchmark: 1368.9272, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8366, kappa: 0.6731, kb_relative_information_score: 3206.2571, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.8367, predictive_accuracy: 0.8366, prior_entropy: 0.9997, recall: 0.8366, relative_absolute_error: 0.3676, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3419, root_relative_squared_error: 0.684, scimark_benchmark: 909.1698, usercpu_time_millis: 780, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.8382, kappa: 0.6763, kb_relative_information_score: 3120.4862, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.8382, predictive_accuracy: 0.8382, prior_entropy: 0.9997, recall: 0.8382, relative_absolute_error: 0.3881, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3387, root_relative_squared_error: 0.6775, scimark_benchmark: 1324.8395, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9251, f_measure: 0.8334, kappa: 0.6667, kb_relative_information_score: 2996.3452, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.8334, predictive_accuracy: 0.8334, prior_entropy: 0.9997, recall: 0.8334, relative_absolute_error: 0.418, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3345, root_relative_squared_error: 0.6691, scimark_benchmark: 1372.2145, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8302, kappa: 0.6602, kb_relative_information_score: 2803.491, mean_absolute_error: 0.2312, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.8302, predictive_accuracy: 0.8302, prior_entropy: 0.9997, recall: 0.8302, relative_absolute_error: 0.4625, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.6744, scimark_benchmark: 930.5999, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.7941, kappa: 0.5886, kb_relative_information_score: 2367.166, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.7973, predictive_accuracy: 0.7948, prior_entropy: 0.9997, recall: 0.7948, relative_absolute_error: 0.5545, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.726, scimark_benchmark: 915.9324, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7204, f_measure: 0.6642, kappa: 0.3282, kb_relative_information_score: 1102.0015, mean_absolute_error: 0.3983, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.6643, predictive_accuracy: 0.6644, prior_entropy: 0.9997, recall: 0.6644, relative_absolute_error: 0.797, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4638, root_relative_squared_error: 0.9277, scimark_benchmark: 937.1527, usercpu_time_millis: 130, usercpu_time_millis_testing: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6787, f_measure: 0.6454, kappa: 0.2907, kb_relative_information_score: 1085.6166, mean_absolute_error: 0.3964, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.6455, predictive_accuracy: 0.6454, prior_entropy: 0.9997, recall: 0.6454, relative_absolute_error: 0.793, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.999, scimark_benchmark: 942.9518, usercpu_time_millis: 130, usercpu_time_millis_testing: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7329, f_measure: 0.7323, kappa: 0.4653, kb_relative_information_score: 2322.4559, mean_absolute_error: 0.2676, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.7337, predictive_accuracy: 0.7324, prior_entropy: 0.9997, recall: 0.7324, relative_absolute_error: 0.5354, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.5173, root_relative_squared_error: 1.0348, scimark_benchmark: 854.5188, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7496, f_measure: 0.7475, kappa: 0.5017, kb_relative_information_score: 2520.5693, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.7682, predictive_accuracy: 0.7522, prior_entropy: 0.9997, recall: 0.7522, relative_absolute_error: 0.4958, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4978, root_relative_squared_error: 0.9958, scimark_benchmark: 1325.2092, usercpu_time_millis: 150, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7958, f_measure: 0.796, kappa: 0.5918, kb_relative_information_score: 2958.8202, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.796, predictive_accuracy: 0.796, prior_entropy: 0.9997, recall: 0.796, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4517, root_relative_squared_error: 0.9035, scimark_benchmark: 1301.9956, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.7998, kappa: 0.5993, kb_relative_information_score: 2258.0263, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.7998, predictive_accuracy: 0.7998, prior_entropy: 0.9997, recall: 0.7998, relative_absolute_error: 0.5803, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3701, root_relative_squared_error: 0.7404, scimark_benchmark: 1386.5717, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.7976, kappa: 0.595, kb_relative_information_score: 2974.8293, mean_absolute_error: 0.2024, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.7976, predictive_accuracy: 0.7976, prior_entropy: 0.9997, recall: 0.7976, relative_absolute_error: 0.405, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9, scimark_benchmark: 923.988, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8956, f_measure: 0.8155, kappa: 0.6309, kb_relative_information_score: 2604.6638, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.8157, predictive_accuracy: 0.8156, prior_entropy: 0.9997, recall: 0.8156, relative_absolute_error: 0.5024, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3619, root_relative_squared_error: 0.7239, scimark_benchmark: 908.2231, usercpu_time_millis: 3850, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 3740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.7666, kappa: 0.533, kb_relative_information_score: 1949.5869, mean_absolute_error: 0.3191, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.7666, predictive_accuracy: 0.7666, prior_entropy: 0.9997, recall: 0.7666, relative_absolute_error: 0.6385, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.7935, scimark_benchmark: 1307.4861, usercpu_time_millis: 60, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9206, f_measure: 0.8424, kappa: 0.6847, kb_relative_information_score: 1890.263, mean_absolute_error: 0.3349, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.8436, predictive_accuracy: 0.8426, prior_entropy: 0.9997, recall: 0.8426, relative_absolute_error: 0.6701, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3702, root_relative_squared_error: 0.7405, scimark_benchmark: 1319.6463, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6919, f_measure: 0.692, kappa: 0.3838, kb_relative_information_score: 1918.2245, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.692, predictive_accuracy: 0.692, prior_entropy: 0.9997, recall: 0.692, relative_absolute_error: 0.6162, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.555, root_relative_squared_error: 1.1102, scimark_benchmark: 1321.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.7529, kappa: 0.5059, kb_relative_information_score: 2072.262, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.7544, predictive_accuracy: 0.7534, prior_entropy: 0.9997, recall: 0.7534, relative_absolute_error: 0.6091, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4326, root_relative_squared_error: 0.8653, scimark_benchmark: 1307.3269,

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