Task
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: 0.8048, 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: 906.0979,
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: 972.587, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.81, kappa: 0.6198, kb_relative_information_score: 2589.0401, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.81, predictive_accuracy: 0.81, prior_entropy: 0.9997, recall: 0.81, relative_absolute_error: 0.5069, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7097, scimark_benchmark: 934.3687, usercpu_time_millis: 190, 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: 901.4991,
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: 904.0772, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, 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: 941.6675, 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: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8096, kappa: 0.6191, kb_relative_information_score: 2282.7742, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.8104, predictive_accuracy: 0.8098, prior_entropy: 0.9997, recall: 0.8098, relative_absolute_error: 0.5775, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7272, scimark_benchmark: 941.6675, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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: 938.9588, usercpu_time_millis: 4280, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 4160,
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: 905.2959,
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: 941.3847, usercpu_time_millis: 150, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 90,
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: 944.1783, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, 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: 941.3847, 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: 941.3847, 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: 947.1781, usercpu_time_millis: 250, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 220,
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: 942.2392, 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: 908.9569, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.81, kappa: 0.6198, kb_relative_information_score: 2589.0401, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.81, predictive_accuracy: 0.81, prior_entropy: 0.9997, recall: 0.81, relative_absolute_error: 0.5069, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7097, scimark_benchmark: 938.1282, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
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: 904.5548, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, 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: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 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: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8096, kappa: 0.6191, kb_relative_information_score: 2282.7742, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.8104, predictive_accuracy: 0.8098, prior_entropy: 0.9997, recall: 0.8098, relative_absolute_error: 0.5775, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7272, scimark_benchmark: 930.404, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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: 936.3213, usercpu_time_millis: 2520, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 2460,
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: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 936.9595, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
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: 941.4991, usercpu_time_millis: 250, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9181, f_measure: 0.8327, kappa: 0.6652, kb_relative_information_score: 2029.5367, mean_absolute_error: 0.3195, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.8332, predictive_accuracy: 0.8328, prior_entropy: 0.9997, recall: 0.8328, relative_absolute_error: 0.6392, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7278, scimark_benchmark: 908.9569, usercpu_time_millis: 11060, usercpu_time_millis_testing: 4610, usercpu_time_millis_training: 6450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9154, f_measure: 0.8267, kappa: 0.6532, kb_relative_information_score: 2029.9835, mean_absolute_error: 0.319, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.8271, predictive_accuracy: 0.8268, prior_entropy: 0.9997, recall: 0.8268, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3648, root_relative_squared_error: 0.7298, scimark_benchmark: 934.695, usercpu_time_millis: 3520, usercpu_time_millis_testing: 1230, usercpu_time_millis_training: 2290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8065, kappa: 0.6129, kb_relative_information_score: 1954.2419, mean_absolute_error: 0.3242, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.8066, predictive_accuracy: 0.8066, prior_entropy: 0.9997, recall: 0.8066, relative_absolute_error: 0.6487, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.755, scimark_benchmark: 917.2109, usercpu_time_millis: 700, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.7808, kappa: 0.5615, kb_relative_information_score: 1942.177, mean_absolute_error: 0.3224, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.7812, predictive_accuracy: 0.781, prior_entropy: 0.9997, recall: 0.781, relative_absolute_error: 0.645, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.7724, scimark_benchmark: 941.8684, usercpu_time_millis: 360, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.8242, kappa: 0.6483, kb_relative_information_score: 3033.6309, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.8243, predictive_accuracy: 0.8242, prior_entropy: 0.9997, recall: 0.8242, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.7115, scimark_benchmark: 941.9549, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9096, f_measure: 0.8242, kappa: 0.6483, kb_relative_information_score: 3033.6309, mean_absolute_error: 0.2018, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.8243, predictive_accuracy: 0.8242, prior_entropy: 0.9997, recall: 0.8242, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3557, root_relative_squared_error: 0.7115, scimark_benchmark: 938.3115, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.8214, kappa: 0.6428, kb_relative_information_score: 3005.3698, mean_absolute_error: 0.2047, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.8215, predictive_accuracy: 0.8214, prior_entropy: 0.9997, recall: 0.8214, relative_absolute_error: 0.4095, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3563, root_relative_squared_error: 0.7128, scimark_benchmark: 894.7131, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8266, kappa: 0.6531, kb_relative_information_score: 2977.3273, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.8267, predictive_accuracy: 0.8266, prior_entropy: 0.9997, recall: 0.8266, relative_absolute_error: 0.4188, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.6939, scimark_benchmark: 936.1714, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9164, f_measure: 0.8238, kappa: 0.6474, kb_relative_information_score: 2779.9585, mean_absolute_error: 0.2332, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.8238, predictive_accuracy: 0.8238, prior_entropy: 0.9997, recall: 0.8238, relative_absolute_error: 0.4666, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3409, root_relative_squared_error: 0.6819, scimark_benchmark: 929.0296, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.3445, kb_relative_information_score: -0.3266, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.2601, predictive_accuracy: 0.51, prior_entropy: 0.9997, recall: 0.51, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.842, kappa: 0.6841, kb_relative_information_score: 3363.4027, mean_absolute_error: 0.165, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.8424, predictive_accuracy: 0.842, prior_entropy: 0.9997, recall: 0.842, relative_absolute_error: 0.3302, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3553, root_relative_squared_error: 0.7107, scimark_benchmark: 929.0296, usercpu_time_millis: 390, usercpu_time_millis_training: 390,
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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: 1306.9281, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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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: 1310.3168,
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: 1317.071, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
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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: 1322.3407,
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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: 1325.8468, usercpu_time_millis: 2520, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 2470,
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: 1310.3168, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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: 1354.5533, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
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: 1338.1299, usercpu_time_millis: 190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 170,
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: 1319.4538,
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: 1313.11, 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: 1313.11, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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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: 1327.3335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8096, kappa: 0.6191, kb_relative_information_score: 2282.7742, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.8104, predictive_accuracy: 0.8098, prior_entropy: 0.9997, recall: 0.8098, relative_absolute_error: 0.5775, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7272, scimark_benchmark: 1326.2019, 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: 1335.3312,
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: 1330.9181, 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: 1323.5075, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
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: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.81, kappa: 0.6198, kb_relative_information_score: 2589.0401, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.4998, number_of_instances: 5000, precision: 0.81, predictive_accuracy: 0.81, prior_entropy: 0.9997, recall: 0.81, relative_absolute_error: 0.5069, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.3548, root_relative_squared_error: 0.7097, scimark_benchmark: 1324.6608, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
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: 1345.7919,
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: 1393.1381, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

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