Task
Supervised Classification on pendigits

Supervised Classification on pendigits

Task 4587 Supervised Classification pendigits 217 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9839, kappa: 0.9143, kb_relative_information_score: 94537.8705, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.984, predictive_accuracy: 0.9839, prior_entropy: 0.482, recall: 0.9839, relative_absolute_error: 0.1222, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.39, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9805, kappa: 0.8963, kb_relative_information_score: 79970.6303, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 0.482, recall: 0.9803, relative_absolute_error: 0.2436, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1279, root_relative_squared_error: 0.4189, scimark_benchmark: 972.587, usercpu_time_millis: 990, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9786, kappa: 0.8853, kb_relative_information_score: 82631.7348, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9786, predictive_accuracy: 0.9786, prior_entropy: 0.482, recall: 0.9786, relative_absolute_error: 0.2447, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.4233, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8467, kb_relative_information_score: 28651.8379, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.8027, predictive_accuracy: 0.8959, prior_entropy: 0.482, recall: 0.8959, relative_absolute_error: 0.5579, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.3226, root_relative_squared_error: 1.0565, scimark_benchmark: 904.0772, usercpu_time_millis: 121850, usercpu_time_millis_testing: 18050, usercpu_time_millis_training: 103800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 938.191, usercpu_time_millis: 160, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9937, kappa: 0.9663, kb_relative_information_score: 97823.7952, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 0.482, recall: 0.9937, relative_absolute_error: 0.0934, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.2497, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9878, kappa: 0.9347, kb_relative_information_score: 98696.9251, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9878, predictive_accuracy: 0.9877, prior_entropy: 0.482, recall: 0.9877, relative_absolute_error: 0.0842, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.3419, scimark_benchmark: 931.771, usercpu_time_millis: 7700, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 7650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8467, kb_relative_information_score: 28651.8379, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.8027, predictive_accuracy: 0.8959, prior_entropy: 0.482, recall: 0.8959, relative_absolute_error: 0.5579, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.3226, root_relative_squared_error: 1.0565, scimark_benchmark: 947.1781, usercpu_time_millis: 135530, usercpu_time_millis_testing: 18600, usercpu_time_millis_training: 116930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8467, kb_relative_information_score: 28651.8379, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.8027, predictive_accuracy: 0.8959, prior_entropy: 0.482, recall: 0.8959, relative_absolute_error: 0.5579, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.3226, root_relative_squared_error: 1.0565, scimark_benchmark: 936.3373, usercpu_time_millis: 152680, usercpu_time_millis_testing: 17330, usercpu_time_millis_training: 135350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 941.3847, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 974.2014, usercpu_time_millis: 130, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 941.3847, usercpu_time_millis: 170, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9963, kappa: 0.9804, kb_relative_information_score: 100262.4785, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 0.482, recall: 0.9963, relative_absolute_error: 0.0796, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0631, root_relative_squared_error: 0.2066, scimark_benchmark: 943.1009, usercpu_time_millis: 2850, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 2630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9839, kappa: 0.9143, kb_relative_information_score: 94537.8705, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.984, predictive_accuracy: 0.9839, prior_entropy: 0.482, recall: 0.9839, relative_absolute_error: 0.1222, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.39, scimark_benchmark: 942.2392, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9805, kappa: 0.8963, kb_relative_information_score: 79970.6303, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 0.482, recall: 0.9803, relative_absolute_error: 0.2436, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1279, root_relative_squared_error: 0.4189, scimark_benchmark: 908.9569, usercpu_time_millis: 1140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9786, kappa: 0.8853, kb_relative_information_score: 82631.7348, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9786, predictive_accuracy: 0.9786, prior_entropy: 0.482, recall: 0.9786, relative_absolute_error: 0.2447, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.4233, scimark_benchmark: 934.695, usercpu_time_millis: 2420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9972, kappa: 0.9852, kb_relative_information_score: 104193.9291, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9972, predictive_accuracy: 0.9972, prior_entropy: 0.482, recall: 0.9972, relative_absolute_error: 0.0498, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0504, root_relative_squared_error: 0.1652, scimark_benchmark: 763.3895, usercpu_time_millis: 1452100, usercpu_time_millis_testing: 29570, usercpu_time_millis_training: 1422530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8467, kb_relative_information_score: 28651.8379, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.8027, predictive_accuracy: 0.8959, prior_entropy: 0.482, recall: 0.8959, relative_absolute_error: 0.5579, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.3226, root_relative_squared_error: 1.0565, scimark_benchmark: 905.2959, usercpu_time_millis: 124650, usercpu_time_millis_testing: 18630, usercpu_time_millis_training: 106020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8467, kb_relative_information_score: 28651.8379, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.8027, predictive_accuracy: 0.8959, prior_entropy: 0.482, recall: 0.8959, relative_absolute_error: 0.5579, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.3226, root_relative_squared_error: 1.0565, scimark_benchmark: 919.3788, usercpu_time_millis: 387220, usercpu_time_millis_testing: 58590, usercpu_time_millis_training: 328630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9693, kappa: 0.8427, kb_relative_information_score: 83308.3272, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9724, predictive_accuracy: 0.968, prior_entropy: 0.482, recall: 0.968, relative_absolute_error: 0.1817, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.5628, scimark_benchmark: 938.1282, usercpu_time_millis: 150, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 938.1282, usercpu_time_millis: 190, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 941.4991, usercpu_time_millis: 170, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9937, kappa: 0.9663, kb_relative_information_score: 97823.7952, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 0.482, recall: 0.9937, relative_absolute_error: 0.0934, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.2497, scimark_benchmark: 930.404, usercpu_time_millis: 670, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 932.438, usercpu_time_millis: 170, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9963, kappa: 0.9804, kb_relative_information_score: 100262.4785, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 0.482, recall: 0.9963, relative_absolute_error: 0.0796, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0631, root_relative_squared_error: 0.2066, scimark_benchmark: 936.3213, usercpu_time_millis: 3410, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 3110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9983, kappa: 0.9906, kb_relative_information_score: 103543.9896, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.482, recall: 0.9983, relative_absolute_error: 0.0588, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0488, root_relative_squared_error: 0.1598, scimark_benchmark: 943.6618, usercpu_time_millis: 126650, usercpu_time_millis_testing: 49050, usercpu_time_millis_training: 77600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9982, kappa: 0.9902, kb_relative_information_score: 103474.5096, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 0.482, recall: 0.9982, relative_absolute_error: 0.0589, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0493, root_relative_squared_error: 0.1613, scimark_benchmark: 936.3373, usercpu_time_millis: 49490, usercpu_time_millis_testing: 11250, usercpu_time_millis_training: 38240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.998, kappa: 0.9894, kb_relative_information_score: 103409.7237, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.482, recall: 0.998, relative_absolute_error: 0.0586, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.05, root_relative_squared_error: 0.1637, scimark_benchmark: 901.6243, usercpu_time_millis: 21580, usercpu_time_millis_testing: 3940, usercpu_time_millis_training: 17640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9978, kappa: 0.9883, kb_relative_information_score: 103159.2499, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.482, recall: 0.9978, relative_absolute_error: 0.0593, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0521, root_relative_squared_error: 0.1706, scimark_benchmark: 922.613, usercpu_time_millis: 14710, usercpu_time_millis_testing: 2120, usercpu_time_millis_training: 12590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.997, kappa: 0.984, kb_relative_information_score: 102920.7976, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.482, recall: 0.997, relative_absolute_error: 0.0594, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0555, root_relative_squared_error: 0.1818, scimark_benchmark: 941.8684, usercpu_time_millis: 6040, usercpu_time_millis_testing: 980, usercpu_time_millis_training: 5060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9718, kappa: 0.8531, kb_relative_information_score: 81629.1104, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9733, predictive_accuracy: 0.9711, prior_entropy: 0.482, recall: 0.9711, relative_absolute_error: 0.2293, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.5129, scimark_benchmark: 894.7131, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9718, kappa: 0.8531, kb_relative_information_score: 81629.1104, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9733, predictive_accuracy: 0.9711, prior_entropy: 0.482, recall: 0.9711, relative_absolute_error: 0.2293, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.5129, scimark_benchmark: 941.9549, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9718, kappa: 0.8531, kb_relative_information_score: 81629.1104, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9733, predictive_accuracy: 0.9711, prior_entropy: 0.482, recall: 0.9711, relative_absolute_error: 0.2293, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.5129, scimark_benchmark: 894.7131, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9718, kappa: 0.8531, kb_relative_information_score: 81629.1104, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9733, predictive_accuracy: 0.9711, prior_entropy: 0.482, recall: 0.9711, relative_absolute_error: 0.2293, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.5129, scimark_benchmark: 929.0296, usercpu_time_millis: 240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 220,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9737, kappa: 0.8579, kb_relative_information_score: 80435.4193, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9736, predictive_accuracy: 0.9739, prior_entropy: 0.482, recall: 0.9739, relative_absolute_error: 0.235, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.4589, scimark_benchmark: 941.9549, usercpu_time_millis: 240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 220,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 1342.8632, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 1325.7874, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 1340.9446, usercpu_time_millis: 130, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9693, kappa: 0.8427, kb_relative_information_score: 83308.3272, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9724, predictive_accuracy: 0.968, prior_entropy: 0.482, recall: 0.968, relative_absolute_error: 0.1817, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.5628, scimark_benchmark: 1313.8988, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 1313.8988, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 1362.9924, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 1362.9924, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 1303.5632, usercpu_time_millis: 180, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 1347.6543, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9693, kappa: 0.8427, kb_relative_information_score: 83308.3272, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9724, predictive_accuracy: 0.968, prior_entropy: 0.482, recall: 0.968, relative_absolute_error: 0.1817, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.5628, scimark_benchmark: 930.5999, usercpu_time_millis: 170, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 930.5999, usercpu_time_millis: 150, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8467, kb_relative_information_score: 28651.8379, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.8027, predictive_accuracy: 0.8959, prior_entropy: 0.482, recall: 0.8959, relative_absolute_error: 0.5579, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.3226, root_relative_squared_error: 1.0565, scimark_benchmark: 1324.8408, usercpu_time_millis: 272300, usercpu_time_millis_testing: 45060, usercpu_time_millis_training: 227240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9839, kappa: 0.9143, kb_relative_information_score: 94537.8705, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.984, predictive_accuracy: 0.9839, prior_entropy: 0.482, recall: 0.9839, relative_absolute_error: 0.1222, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.39, scimark_benchmark: 1313.8988, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9693, kappa: 0.8427, kb_relative_information_score: 83308.3272, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9724, predictive_accuracy: 0.968, prior_entropy: 0.482, recall: 0.968, relative_absolute_error: 0.1817, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.5628, scimark_benchmark: 1310.6554, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 1309.0674, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9693, kappa: 0.8427, kb_relative_information_score: 83308.3272, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9724, predictive_accuracy: 0.968, prior_entropy: 0.482, recall: 0.968, relative_absolute_error: 0.1817, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.5628, scimark_benchmark: 1324.7884, usercpu_time_millis: 120, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 1342.8584, usercpu_time_millis: 140, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 1322.3407, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 1324.7884, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 1319.4538, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9937, kappa: 0.9663, kb_relative_information_score: 97823.7952, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 0.482, recall: 0.9937, relative_absolute_error: 0.0934, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.2497, scimark_benchmark: 1342.8584, usercpu_time_millis: 580, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 1316.6799, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9693, kappa: 0.8427, kb_relative_information_score: 83308.3272, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9724, predictive_accuracy: 0.968, prior_entropy: 0.482, recall: 0.968, relative_absolute_error: 0.1817, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.5628, scimark_benchmark: 1342.2845, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 1350.7721, usercpu_time_millis: 100, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9937, kappa: 0.9663, kb_relative_information_score: 97823.7952, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9937, predictive_accuracy: 0.9937, prior_entropy: 0.482, recall: 0.9937, relative_absolute_error: 0.0934, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.2497, scimark_benchmark: 1327.3335, usercpu_time_millis: 660, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9878, kappa: 0.9347, kb_relative_information_score: 98696.9251, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9878, predictive_accuracy: 0.9877, prior_entropy: 0.482, recall: 0.9877, relative_absolute_error: 0.0842, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.3419, scimark_benchmark: 1317.5348, usercpu_time_millis: 8240, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 8130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9963, kappa: 0.9804, kb_relative_information_score: 100262.4785, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 0.482, recall: 0.9963, relative_absolute_error: 0.0796, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.0631, root_relative_squared_error: 0.2066, scimark_benchmark: 1313.11, usercpu_time_millis: 2370, usercpu_time_millis_testing: 200, usercpu_time_millis_training: 2170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9805, kappa: 0.8963, kb_relative_information_score: 79970.6303, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9807, predictive_accuracy: 0.9803, prior_entropy: 0.482, recall: 0.9803, relative_absolute_error: 0.2436, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1279, root_relative_squared_error: 0.4189, scimark_benchmark: 1320.1171, usercpu_time_millis: 740, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9786, kappa: 0.8853, kb_relative_information_score: 82631.7348, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9786, predictive_accuracy: 0.9786, prior_entropy: 0.482, recall: 0.9786, relative_absolute_error: 0.2447, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1293, root_relative_squared_error: 0.4233, scimark_benchmark: 1322.806, usercpu_time_millis: 2110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 2100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9723, kappa: 0.8594, kb_relative_information_score: 86361.2422, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1865, number_of_instances: 109920, precision: 0.9762, predictive_accuracy: 0.971, prior_entropy: 0.482, recall: 0.971, relative_absolute_error: 0.1591, root_mean_prior_squared_error: 0.3054, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.5353, scimark_benchmark: 1335.2021, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,

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