Task
Supervised Classification on fri_c2_250_50

Supervised Classification on fri_c2_250_50

Task 4446 Supervised Classification fri_c2_250_50 223 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.7886, kappa: 0.5731, kb_relative_information_score: 1301.4405, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.7886, predictive_accuracy: 0.7888, prior_entropy: 0.9934, recall: 0.7888, relative_absolute_error: 0.5023, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.7621, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.8104, kappa: 0.6167, kb_relative_information_score: 1203.8725, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8106, predictive_accuracy: 0.8108, prior_entropy: 0.9934, recall: 0.8108, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.7604, scimark_benchmark: 972.587, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8036, kappa: 0.6029, kb_relative_information_score: 1397.9661, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8037, predictive_accuracy: 0.804, prior_entropy: 0.9934, recall: 0.804, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.7718, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.68, f_measure: 0.6856, kappa: 0.364, kb_relative_information_score: 921.1514, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.6874, predictive_accuracy: 0.6884, prior_entropy: 0.9934, recall: 0.6884, relative_absolute_error: 0.629, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5582, root_relative_squared_error: 1.1216, scimark_benchmark: 931.771, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.68, f_measure: 0.6856, kappa: 0.364, kb_relative_information_score: 921.1514, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.6874, predictive_accuracy: 0.6884, prior_entropy: 0.9934, recall: 0.6884, relative_absolute_error: 0.629, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5582, root_relative_squared_error: 1.1216, scimark_benchmark: 944.1067, usercpu_time_millis: 90, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.7854, kappa: 0.5671, kb_relative_information_score: 1378.1957, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.7856, predictive_accuracy: 0.7852, prior_entropy: 0.9934, recall: 0.7852, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7442, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.7854, kappa: 0.5671, kb_relative_information_score: 1378.1957, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.7856, predictive_accuracy: 0.7852, prior_entropy: 0.9934, recall: 0.7852, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7442, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.8327, kappa: 0.6615, kb_relative_information_score: 1310.5833, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8361, predictive_accuracy: 0.834, prior_entropy: 0.9934, recall: 0.834, relative_absolute_error: 0.5085, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6948, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, f_measure: 0.6778, kappa: 0.3485, kb_relative_information_score: 689.7841, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.6777, predictive_accuracy: 0.6788, prior_entropy: 0.9934, recall: 0.6788, relative_absolute_error: 0.7375, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9403, scimark_benchmark: 941.6675, usercpu_time_millis: 420, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7788, kappa: 0.5529, kb_relative_information_score: 1301.2903, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.7788, predictive_accuracy: 0.7792, prior_entropy: 0.9934, recall: 0.7792, relative_absolute_error: 0.4885, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.8372, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.68, f_measure: 0.6856, kappa: 0.364, kb_relative_information_score: 921.1514, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.6874, predictive_accuracy: 0.6884, prior_entropy: 0.9934, recall: 0.6884, relative_absolute_error: 0.629, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5582, root_relative_squared_error: 1.1216, scimark_benchmark: 937.5117, usercpu_time_millis: 90, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.68, f_measure: 0.6856, kappa: 0.364, kb_relative_information_score: 921.1514, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.6874, predictive_accuracy: 0.6884, prior_entropy: 0.9934, recall: 0.6884, relative_absolute_error: 0.629, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5582, root_relative_squared_error: 1.1216, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.7863, kappa: 0.5693, kb_relative_information_score: 1373.5481, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.7869, predictive_accuracy: 0.786, prior_entropy: 0.9934, recall: 0.786, relative_absolute_error: 0.4584, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.371, root_relative_squared_error: 0.7453, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.7854, kappa: 0.5671, kb_relative_information_score: 1378.1957, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.7856, predictive_accuracy: 0.7852, prior_entropy: 0.9934, recall: 0.7852, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7442, scimark_benchmark: 974.2014, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.7854, kappa: 0.5671, kb_relative_information_score: 1378.1957, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.7856, predictive_accuracy: 0.7852, prior_entropy: 0.9934, recall: 0.7852, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7442, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8054, kappa: 0.6063, kb_relative_information_score: 798.568, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8067, predictive_accuracy: 0.8064, prior_entropy: 0.9934, recall: 0.8064, relative_absolute_error: 0.7293, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.7828, scimark_benchmark: 974.2014, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.7886, kappa: 0.5731, kb_relative_information_score: 1301.4405, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.7886, predictive_accuracy: 0.7888, prior_entropy: 0.9934, recall: 0.7888, relative_absolute_error: 0.5023, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.7621, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.8104, kappa: 0.6167, kb_relative_information_score: 1203.8725, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8106, predictive_accuracy: 0.8108, prior_entropy: 0.9934, recall: 0.8108, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.7604, scimark_benchmark: 908.9569, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8036, kappa: 0.6029, kb_relative_information_score: 1397.9661, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8037, predictive_accuracy: 0.804, prior_entropy: 0.9934, recall: 0.804, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.7718, scimark_benchmark: 936.2574, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.68, f_measure: 0.6856, kappa: 0.364, kb_relative_information_score: 921.1514, mean_absolute_error: 0.3116, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.6874, predictive_accuracy: 0.6884, prior_entropy: 0.9934, recall: 0.6884, relative_absolute_error: 0.629, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.5582, root_relative_squared_error: 1.1216, scimark_benchmark: 926.5462, usercpu_time_millis: 90, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.7863, kappa: 0.5693, kb_relative_information_score: 1373.5481, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.7869, predictive_accuracy: 0.786, prior_entropy: 0.9934, recall: 0.786, relative_absolute_error: 0.4584, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.371, root_relative_squared_error: 0.7453, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.7854, kappa: 0.5671, kb_relative_information_score: 1378.1957, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.7856, predictive_accuracy: 0.7852, prior_entropy: 0.9934, recall: 0.7852, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7442, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.7854, kappa: 0.5671, kb_relative_information_score: 1378.1957, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.7856, predictive_accuracy: 0.7852, prior_entropy: 0.9934, recall: 0.7852, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7442, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.8327, kappa: 0.6615, kb_relative_information_score: 1310.5833, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8361, predictive_accuracy: 0.834, prior_entropy: 0.9934, recall: 0.834, relative_absolute_error: 0.5085, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.6948, scimark_benchmark: 930.404, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, f_measure: 0.6778, kappa: 0.3485, kb_relative_information_score: 689.7841, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.6777, predictive_accuracy: 0.6788, prior_entropy: 0.9934, recall: 0.6788, relative_absolute_error: 0.7375, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9403, scimark_benchmark: 938.4601, usercpu_time_millis: 280, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.7854, kappa: 0.5671, kb_relative_information_score: 1378.1957, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.7856, predictive_accuracy: 0.7852, prior_entropy: 0.9934, recall: 0.7852, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7442, scimark_benchmark: 936.9595, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7788, kappa: 0.5529, kb_relative_information_score: 1301.2903, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.7788, predictive_accuracy: 0.7792, prior_entropy: 0.9934, recall: 0.7792, relative_absolute_error: 0.4885, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.8372, scimark_benchmark: 932.438, usercpu_time_millis: 360, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8054, kappa: 0.6063, kb_relative_information_score: 798.568, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8067, predictive_accuracy: 0.8064, prior_entropy: 0.9934, recall: 0.8064, relative_absolute_error: 0.7293, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.7828, scimark_benchmark: 945.6228, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.8119, kappa: 0.6196, kb_relative_information_score: 770.2731, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8122, predictive_accuracy: 0.8124, prior_entropy: 0.9934, recall: 0.8124, relative_absolute_error: 0.7375, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.7964, scimark_benchmark: 901.4991, usercpu_time_millis: 6930, usercpu_time_millis_testing: 2870, usercpu_time_millis_training: 4060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.8137, kappa: 0.6233, kb_relative_information_score: 781.2024, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8137, predictive_accuracy: 0.814, prior_entropy: 0.9934, recall: 0.814, relative_absolute_error: 0.7328, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3955, root_relative_squared_error: 0.7946, scimark_benchmark: 906.5979, usercpu_time_millis: 3760, usercpu_time_millis_testing: 1580, usercpu_time_millis_training: 2180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, f_measure: 0.8006, kappa: 0.5968, kb_relative_information_score: 752.6196, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.801, predictive_accuracy: 0.8012, prior_entropy: 0.9934, recall: 0.8012, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4017, root_relative_squared_error: 0.8071, scimark_benchmark: 921.466, usercpu_time_millis: 1730, usercpu_time_millis_testing: 700, usercpu_time_millis_training: 1030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8457, f_measure: 0.7775, kappa: 0.5502, kb_relative_information_score: 745.0731, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.7776, predictive_accuracy: 0.778, prior_entropy: 0.9934, recall: 0.778, relative_absolute_error: 0.7395, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8203, scimark_benchmark: 906.8974, usercpu_time_millis: 670, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.7397, kappa: 0.4738, kb_relative_information_score: 720.4689, mean_absolute_error: 0.3672, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.7398, predictive_accuracy: 0.7404, prior_entropy: 0.9934, recall: 0.7404, relative_absolute_error: 0.7412, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4214, root_relative_squared_error: 0.8466, scimark_benchmark: 942.5233, usercpu_time_millis: 330, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.8149, kappa: 0.6258, kb_relative_information_score: 1526.0407, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.815, predictive_accuracy: 0.8152, prior_entropy: 0.9934, recall: 0.8152, relative_absolute_error: 0.3921, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.395, root_relative_squared_error: 0.7936, scimark_benchmark: 936.1714, usercpu_time_millis: 590, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.8125, kappa: 0.6209, kb_relative_information_score: 1515.4239, mean_absolute_error: 0.1964, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8125, predictive_accuracy: 0.8128, prior_entropy: 0.9934, recall: 0.8128, relative_absolute_error: 0.3965, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.792, scimark_benchmark: 930.0565, usercpu_time_millis: 360, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8838, f_measure: 0.8071, kappa: 0.61, kb_relative_information_score: 1471.9782, mean_absolute_error: 0.2063, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8074, predictive_accuracy: 0.8076, prior_entropy: 0.9934, recall: 0.8076, relative_absolute_error: 0.4163, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7834, scimark_benchmark: 929.0296, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.8096, kappa: 0.6148, kb_relative_information_score: 1375.6447, mean_absolute_error: 0.2289, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8105, predictive_accuracy: 0.8104, prior_entropy: 0.9934, recall: 0.8104, relative_absolute_error: 0.462, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3865, root_relative_squared_error: 0.7766, scimark_benchmark: 936.1714, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.8014, kappa: 0.5983, kb_relative_information_score: 1276.804, mean_absolute_error: 0.2523, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8026, predictive_accuracy: 0.8024, prior_entropy: 0.9934, recall: 0.8024, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7619, scimark_benchmark: 929.0296, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8742, f_measure: 0.8071, kappa: 0.6098, kb_relative_information_score: 1486.3526, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8082, predictive_accuracy: 0.808, prior_entropy: 0.9934, recall: 0.808, relative_absolute_error: 0.4068, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4114, root_relative_squared_error: 0.8265, scimark_benchmark: 938.3115, usercpu_time_millis: 180, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.7785, kappa: 0.5521, kb_relative_information_score: 1336.642, mean_absolute_error: 0.2317, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.7788, predictive_accuracy: 0.7792, prior_entropy: 0.9934, recall: 0.7792, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.883, scimark_benchmark: 938.3115, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8769, f_measure: 0.8036, kappa: 0.6029, kb_relative_information_score: 1397.9661, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8037, predictive_accuracy: 0.804, prior_entropy: 0.9934, recall: 0.804, relative_absolute_error: 0.454, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.7718, scimark_benchmark: 936.9668, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.7863, kappa: 0.5693, kb_relative_information_score: 1373.5481, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.7869, predictive_accuracy: 0.786, prior_entropy: 0.9934, recall: 0.786, relative_absolute_error: 0.4584, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.371, root_relative_squared_error: 0.7453, scimark_benchmark: 1346.2927, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.8104, kappa: 0.6167, kb_relative_information_score: 1203.8725, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8106, predictive_accuracy: 0.8108, prior_entropy: 0.9934, recall: 0.8108, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3785, root_relative_squared_error: 0.7604, scimark_benchmark: 1339.6197, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.7854, kappa: 0.5671, kb_relative_information_score: 1378.1957, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.7856, predictive_accuracy: 0.7852, prior_entropy: 0.9934, recall: 0.7852, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7442, scimark_benchmark: 1324.8408, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.7854, kappa: 0.5671, kb_relative_information_score: 1378.1957, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.7856, predictive_accuracy: 0.7852, prior_entropy: 0.9934, recall: 0.7852, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7442, scimark_benchmark: 1309.0674, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.7854, kappa: 0.5671, kb_relative_information_score: 1378.1957, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.7856, predictive_accuracy: 0.7852, prior_entropy: 0.9934, recall: 0.7852, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7442, scimark_benchmark: 1309.0674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.7854, kappa: 0.5671, kb_relative_information_score: 1378.1957, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.7856, predictive_accuracy: 0.7852, prior_entropy: 0.9934, recall: 0.7852, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7442, scimark_benchmark: 1324.6442, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7788, kappa: 0.5529, kb_relative_information_score: 1301.2903, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.7788, predictive_accuracy: 0.7792, prior_entropy: 0.9934, recall: 0.7792, relative_absolute_error: 0.4885, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.8372, scimark_benchmark: 1375.1578, usercpu_time_millis: 380, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.7886, kappa: 0.5731, kb_relative_information_score: 1301.4405, mean_absolute_error: 0.2489, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.7886, predictive_accuracy: 0.7888, prior_entropy: 0.9934, recall: 0.7888, relative_absolute_error: 0.5023, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.7621, scimark_benchmark: 1310.3168, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.7854, kappa: 0.5671, kb_relative_information_score: 1378.1957, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.7856, predictive_accuracy: 0.7852, prior_entropy: 0.9934, recall: 0.7852, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7442, scimark_benchmark: 1318.4315, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.7854, kappa: 0.5671, kb_relative_information_score: 1378.1957, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.7856, predictive_accuracy: 0.7852, prior_entropy: 0.9934, recall: 0.7852, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7442, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.7854, kappa: 0.5671, kb_relative_information_score: 1378.1957, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.7856, predictive_accuracy: 0.7852, prior_entropy: 0.9934, recall: 0.7852, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7442, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.7854, kappa: 0.5671, kb_relative_information_score: 1378.1957, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.7856, predictive_accuracy: 0.7852, prior_entropy: 0.9934, recall: 0.7852, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7442, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, f_measure: 0.6778, kappa: 0.3485, kb_relative_information_score: 689.7841, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.6777, predictive_accuracy: 0.6788, prior_entropy: 0.9934, recall: 0.6788, relative_absolute_error: 0.7375, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9403, scimark_benchmark: 1313.11, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.7854, kappa: 0.5671, kb_relative_information_score: 1378.1957, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.7856, predictive_accuracy: 0.7852, prior_entropy: 0.9934, recall: 0.7852, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7442, scimark_benchmark: 1333.0982, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.7854, kappa: 0.5671, kb_relative_information_score: 1378.1957, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.7856, predictive_accuracy: 0.7852, prior_entropy: 0.9934, recall: 0.7852, relative_absolute_error: 0.4561, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7442, scimark_benchmark: 1332.9478, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.845, f_measure: 0.7788, kappa: 0.5529, kb_relative_information_score: 1301.2903, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.7788, predictive_accuracy: 0.7792, prior_entropy: 0.9934, recall: 0.7792, relative_absolute_error: 0.4885, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.8372, scimark_benchmark: 1324.8408, usercpu_time_millis: 370, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8054, kappa: 0.6063, kb_relative_information_score: 798.568, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.4954, number_of_instances: 2500, precision: 0.8067, predictive_accuracy: 0.8064, prior_entropy: 0.9934, recall: 0.8064, relative_absolute_error: 0.7293, root_mean_prior_squared_error: 0.4977, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.7828, scimark_benchmark: 1336.5541, usercpu_time_millis: 100, usercpu_time_millis_training: 100,

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