Task
Supervised Classification on ar6

Supervised Classification on ar6

Task 4619 Supervised Classification ar6 206 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4057, f_measure: 0.7712, kappa: -0.0427, kb_relative_information_score: -58.3268, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.7219, predictive_accuracy: 0.8277, prior_entropy: 0.623, recall: 0.8277, relative_absolute_error: 1.015, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3756, root_relative_squared_error: 1.056, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5565, f_measure: 0.8017, kappa: 0.1504, kb_relative_information_score: -203.3539, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.7887, predictive_accuracy: 0.8218, prior_entropy: 0.623, recall: 0.8218, relative_absolute_error: 0.9725, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3754, root_relative_squared_error: 1.0555, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6225, f_measure: 0.8011, kappa: 0.2178, kb_relative_information_score: -42.4803, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.8022, predictive_accuracy: 0.8, prior_entropy: 0.623, recall: 0.8, relative_absolute_error: 0.8698, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4072, root_relative_squared_error: 1.1449, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7832, kb_relative_information_score: 277.5497, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.725, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3854, root_relative_squared_error: 1.0835, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4026, f_measure: 0.7712, kappa: -0.0427, kb_relative_information_score: -85.4502, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.7219, predictive_accuracy: 0.8277, prior_entropy: 0.623, recall: 0.8277, relative_absolute_error: 1.0299, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3888, root_relative_squared_error: 1.0932, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4026, f_measure: 0.7712, kappa: -0.0427, kb_relative_information_score: -83.4401, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.7219, predictive_accuracy: 0.8277, prior_entropy: 0.623, recall: 0.8277, relative_absolute_error: 1.0272, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3865, root_relative_squared_error: 1.0867, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6339, f_measure: 0.7822, kappa: 0.0009, kb_relative_information_score: -68.9248, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.7479, predictive_accuracy: 0.8426, prior_entropy: 0.623, recall: 0.8426, relative_absolute_error: 0.9309, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.981, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7285, f_measure: 0.8485, kappa: 0.329, kb_relative_information_score: 97.6936, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.8555, predictive_accuracy: 0.8733, prior_entropy: 0.623, recall: 0.8733, relative_absolute_error: 0.7771, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.9248, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5172, f_measure: 0.7684, kappa: -0.0003, kb_relative_information_score: -144.094, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.747, predictive_accuracy: 0.7951, prior_entropy: 0.623, recall: 0.7951, relative_absolute_error: 1.0068, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4105, root_relative_squared_error: 1.1542, scimark_benchmark: 944.1067, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7832, kb_relative_information_score: 277.5497, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.725, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3854, root_relative_squared_error: 1.0835, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7832, kb_relative_information_score: 277.5497, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.725, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3854, root_relative_squared_error: 1.0835, scimark_benchmark: 936.3373, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.8091, kappa: 0.1422, kb_relative_information_score: -31.7316, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.8034, predictive_accuracy: 0.8475, prior_entropy: 0.623, recall: 0.8475, relative_absolute_error: 0.859, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.9707, scimark_benchmark: 943.1009, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4057, f_measure: 0.7712, kappa: -0.0427, kb_relative_information_score: -58.3268, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.7219, predictive_accuracy: 0.8277, prior_entropy: 0.623, recall: 0.8277, relative_absolute_error: 1.015, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3756, root_relative_squared_error: 1.056, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5527, f_measure: 0.801, kappa: 0.1485, kb_relative_information_score: -206.7323, mean_absolute_error: 0.2512, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.788, predictive_accuracy: 0.8208, prior_entropy: 0.623, recall: 0.8208, relative_absolute_error: 0.9747, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3764, root_relative_squared_error: 1.0582, scimark_benchmark: 901.6243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6225, f_measure: 0.8011, kappa: 0.2178, kb_relative_information_score: -42.4803, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.8022, predictive_accuracy: 0.8, prior_entropy: 0.623, recall: 0.8, relative_absolute_error: 0.8698, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4072, root_relative_squared_error: 1.1449, scimark_benchmark: 938.1282, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7832, kb_relative_information_score: 277.5497, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.725, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3854, root_relative_squared_error: 1.0835, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7832, kb_relative_information_score: 277.5497, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.725, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3854, root_relative_squared_error: 1.0835, scimark_benchmark: 906.0979, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4026, f_measure: 0.7712, kappa: -0.0427, kb_relative_information_score: -85.4502, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.7219, predictive_accuracy: 0.8277, prior_entropy: 0.623, recall: 0.8277, relative_absolute_error: 1.0299, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3888, root_relative_squared_error: 1.0932, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4026, f_measure: 0.7712, kappa: -0.0427, kb_relative_information_score: -83.4401, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.7219, predictive_accuracy: 0.8277, prior_entropy: 0.623, recall: 0.8277, relative_absolute_error: 1.0272, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3865, root_relative_squared_error: 1.0867, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4026, f_measure: 0.7712, kappa: -0.0427, kb_relative_information_score: -83.4401, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.7219, predictive_accuracy: 0.8277, prior_entropy: 0.623, recall: 0.8277, relative_absolute_error: 1.0272, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3865, root_relative_squared_error: 1.0867, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4026, f_measure: 0.7712, kappa: -0.0427, kb_relative_information_score: -83.4401, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.7219, predictive_accuracy: 0.8277, prior_entropy: 0.623, recall: 0.8277, relative_absolute_error: 1.0272, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3865, root_relative_squared_error: 1.0867, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4026, f_measure: 0.7712, kappa: -0.0427, kb_relative_information_score: -83.4401, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.7219, predictive_accuracy: 0.8277, prior_entropy: 0.623, recall: 0.8277, relative_absolute_error: 1.0272, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3865, root_relative_squared_error: 1.0867, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6339, f_measure: 0.7822, kappa: 0.0009, kb_relative_information_score: -68.9248, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.7479, predictive_accuracy: 0.8426, prior_entropy: 0.623, recall: 0.8426, relative_absolute_error: 0.9309, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.981, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7285, f_measure: 0.8485, kappa: 0.329, kb_relative_information_score: 97.6936, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.8555, predictive_accuracy: 0.8733, prior_entropy: 0.623, recall: 0.8733, relative_absolute_error: 0.7771, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.9248, scimark_benchmark: 930.404, usercpu_time_millis: 150, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4026, f_measure: 0.7712, kappa: -0.0427, kb_relative_information_score: -83.4401, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.7219, predictive_accuracy: 0.8277, prior_entropy: 0.623, recall: 0.8277, relative_absolute_error: 1.0272, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3865, root_relative_squared_error: 1.0867, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.8091, kappa: 0.1422, kb_relative_information_score: -31.7316, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.8034, predictive_accuracy: 0.8475, prior_entropy: 0.623, recall: 0.8475, relative_absolute_error: 0.859, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.9707, scimark_benchmark: 1051.249, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.692, f_measure: 0.8508, kappa: 0.3353, kb_relative_information_score: 157.6539, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.8642, predictive_accuracy: 0.8772, prior_entropy: 0.623, recall: 0.8772, relative_absolute_error: 0.7847, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.32, root_relative_squared_error: 0.8997, scimark_benchmark: 870.2101, usercpu_time_millis: 1520, usercpu_time_millis_testing: 800, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.8508, kappa: 0.3374, kb_relative_information_score: 158.7635, mean_absolute_error: 0.2023, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.8614, predictive_accuracy: 0.8762, prior_entropy: 0.623, recall: 0.8762, relative_absolute_error: 0.7849, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.9, scimark_benchmark: 958.8462, usercpu_time_millis: 1100, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.8445, kappa: 0.3108, kb_relative_information_score: 149.2968, mean_absolute_error: 0.2019, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.8504, predictive_accuracy: 0.8703, prior_entropy: 0.623, recall: 0.8703, relative_absolute_error: 0.7835, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.9069, scimark_benchmark: 906.0979, usercpu_time_millis: 300, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6869, f_measure: 0.8414, kappa: 0.3001, kb_relative_information_score: 119.8801, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.8435, predictive_accuracy: 0.8663, prior_entropy: 0.623, recall: 0.8663, relative_absolute_error: 0.7945, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.9171, scimark_benchmark: 922.613, usercpu_time_millis: 140, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6864, f_measure: 0.85, kappa: 0.3367, kb_relative_information_score: 115.1269, mean_absolute_error: 0.2017, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.8571, predictive_accuracy: 0.8743, prior_entropy: 0.623, recall: 0.8743, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.9143, scimark_benchmark: 935.0213, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6007, f_measure: 0.8205, kappa: 0.2211, kb_relative_information_score: 45.6976, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.8112, predictive_accuracy: 0.8426, prior_entropy: 0.623, recall: 0.8426, relative_absolute_error: 0.7553, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.374, root_relative_squared_error: 1.0516, scimark_benchmark: 926.5859, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6007, f_measure: 0.8205, kappa: 0.2211, kb_relative_information_score: 45.6976, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.8112, predictive_accuracy: 0.8426, prior_entropy: 0.623, recall: 0.8426, relative_absolute_error: 0.7553, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.374, root_relative_squared_error: 1.0516, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6012, f_measure: 0.822, kappa: 0.2286, kb_relative_information_score: 46.8521, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.8131, predictive_accuracy: 0.8436, prior_entropy: 0.623, recall: 0.8436, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3737, root_relative_squared_error: 1.0506, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6039, f_measure: 0.8158, kappa: 0.1981, kb_relative_information_score: 44.4718, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.8054, predictive_accuracy: 0.8396, prior_entropy: 0.623, recall: 0.8396, relative_absolute_error: 0.7575, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3728, root_relative_squared_error: 1.0481, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5772, f_measure: 0.8179, kappa: 0.2046, kb_relative_information_score: -2.1183, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.8084, predictive_accuracy: 0.8426, prior_entropy: 0.623, recall: 0.8426, relative_absolute_error: 0.7958, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3743, root_relative_squared_error: 1.0522, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4019, f_measure: 0.7832, kb_relative_information_score: -31.0591, mean_absolute_error: 0.2587, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.725, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3564, root_relative_squared_error: 1.0021, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6485, f_measure: 0.8261, kappa: 0.2212, kb_relative_information_score: 316.2653, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.83, predictive_accuracy: 0.8594, prior_entropy: 0.623, recall: 0.8594, relative_absolute_error: 0.5481, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3671, root_relative_squared_error: 1.0321, scimark_benchmark: 929.0296, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6284, f_measure: 0.8139, kappa: 0.1664, kb_relative_information_score: 272.3556, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.8095, predictive_accuracy: 0.8495, prior_entropy: 0.623, recall: 0.8495, relative_absolute_error: 0.5799, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3758, root_relative_squared_error: 1.0567, scimark_benchmark: 929.0296, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6339, f_measure: 0.7822, kappa: 0.0009, kb_relative_information_score: -68.9248, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.7479, predictive_accuracy: 0.8426, prior_entropy: 0.623, recall: 0.8426, relative_absolute_error: 0.9309, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.981, scimark_benchmark: 1316.5668, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7285, f_measure: 0.8485, kappa: 0.329, kb_relative_information_score: 97.6936, mean_absolute_error: 0.2003, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.8555, predictive_accuracy: 0.8733, prior_entropy: 0.623, recall: 0.8733, relative_absolute_error: 0.7771, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3289, root_relative_squared_error: 0.9248, scimark_benchmark: 1318.4315, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4026, f_measure: 0.7712, kappa: -0.0427, kb_relative_information_score: -85.4502, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.7219, predictive_accuracy: 0.8277, prior_entropy: 0.623, recall: 0.8277, relative_absolute_error: 1.0299, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3888, root_relative_squared_error: 1.0932, scimark_benchmark: 1319.4538, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4026, f_measure: 0.7712, kappa: -0.0427, kb_relative_information_score: -83.4401, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.7219, predictive_accuracy: 0.8277, prior_entropy: 0.623, recall: 0.8277, relative_absolute_error: 1.0272, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3865, root_relative_squared_error: 1.0867, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4026, f_measure: 0.7712, kappa: -0.0427, kb_relative_information_score: -83.4401, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.7219, predictive_accuracy: 0.8277, prior_entropy: 0.623, recall: 0.8277, relative_absolute_error: 1.0272, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3865, root_relative_squared_error: 1.0867, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4026, f_measure: 0.7712, kappa: -0.0427, kb_relative_information_score: -83.4401, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.7219, predictive_accuracy: 0.8277, prior_entropy: 0.623, recall: 0.8277, relative_absolute_error: 1.0272, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3865, root_relative_squared_error: 1.0867, scimark_benchmark: 1335.3312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5172, f_measure: 0.7684, kappa: -0.0003, kb_relative_information_score: -144.094, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.747, predictive_accuracy: 0.7951, prior_entropy: 0.623, recall: 0.7951, relative_absolute_error: 1.0068, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4105, root_relative_squared_error: 1.1542, scimark_benchmark: 1320.8283, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.8091, kappa: 0.1422, kb_relative_information_score: -31.7316, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.8034, predictive_accuracy: 0.8475, prior_entropy: 0.623, recall: 0.8475, relative_absolute_error: 0.859, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.9707, scimark_benchmark: 1335.6555, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5565, f_measure: 0.8017, kappa: 0.1504, kb_relative_information_score: -203.3539, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.7887, predictive_accuracy: 0.8218, prior_entropy: 0.623, recall: 0.8218, relative_absolute_error: 0.9725, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3754, root_relative_squared_error: 1.0555, scimark_benchmark: 1320.8283, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, f_measure: 0.8049, kappa: 0.1166, kb_relative_information_score: 92.4992, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.8013, predictive_accuracy: 0.8485, prior_entropy: 0.623, recall: 0.8485, relative_absolute_error: 0.8406, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3657, root_relative_squared_error: 1.0281, scimark_benchmark: 1321.4771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6212, f_measure: 0.7996, kappa: 0.2144, kb_relative_information_score: -52.6865, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.8013, predictive_accuracy: 0.798, prior_entropy: 0.623, recall: 0.798, relative_absolute_error: 0.8765, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4092, root_relative_squared_error: 1.1505, scimark_benchmark: 1342.2845, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7001, f_measure: 0.8319, kappa: 0.2557, kb_relative_information_score: 14.5841, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.8313, predictive_accuracy: 0.8594, prior_entropy: 0.623, recall: 0.8594, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.955, scimark_benchmark: 1324.5762, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6339, f_measure: 0.7822, kappa: 0.0009, kb_relative_information_score: -68.9248, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.7479, predictive_accuracy: 0.8426, prior_entropy: 0.623, recall: 0.8426, relative_absolute_error: 0.9309, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.981, scimark_benchmark: 1336.0954, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4026, f_measure: 0.7712, kappa: -0.0427, kb_relative_information_score: -83.4401, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.7219, predictive_accuracy: 0.8277, prior_entropy: 0.623, recall: 0.8277, relative_absolute_error: 1.0272, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3865, root_relative_squared_error: 1.0867, scimark_benchmark: 1337.4384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5172, f_measure: 0.7684, kappa: -0.0003, kb_relative_information_score: -144.094, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.747, predictive_accuracy: 0.7951, prior_entropy: 0.623, recall: 0.7951, relative_absolute_error: 1.0068, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4105, root_relative_squared_error: 1.1542, scimark_benchmark: 1296.9979, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.8091, kappa: 0.1422, kb_relative_information_score: -31.7316, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.8034, predictive_accuracy: 0.8475, prior_entropy: 0.623, recall: 0.8475, relative_absolute_error: 0.859, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.9707, scimark_benchmark: 1344.3409, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5172, f_measure: 0.7684, kappa: -0.0003, kb_relative_information_score: -144.094, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.747, predictive_accuracy: 0.7951, prior_entropy: 0.623, recall: 0.7951, relative_absolute_error: 1.0068, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.4105, root_relative_squared_error: 1.1542, scimark_benchmark: 1370.1799, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.8091, kappa: 0.1422, kb_relative_information_score: -31.7316, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.8034, predictive_accuracy: 0.8475, prior_entropy: 0.623, recall: 0.8475, relative_absolute_error: 0.859, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.9707, scimark_benchmark: 1360.0477, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7832, kb_relative_information_score: 277.5497, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.725, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3854, root_relative_squared_error: 1.0835, scimark_benchmark: 1352.5875, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7832, kb_relative_information_score: 277.5497, mean_absolute_error: 0.1485, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.725, predictive_accuracy: 0.8515, prior_entropy: 0.623, recall: 0.8515, relative_absolute_error: 0.5763, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3854, root_relative_squared_error: 1.0835, scimark_benchmark: 1350.007, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4026, f_measure: 0.7712, kappa: -0.0427, kb_relative_information_score: -85.4502, mean_absolute_error: 0.2654, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.7219, predictive_accuracy: 0.8277, prior_entropy: 0.623, recall: 0.8277, relative_absolute_error: 1.0299, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3888, root_relative_squared_error: 1.0932, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4026, f_measure: 0.7712, kappa: -0.0427, kb_relative_information_score: -83.4401, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.2577, number_of_instances: 1010, precision: 0.7219, predictive_accuracy: 0.8277, prior_entropy: 0.623, recall: 0.8277, relative_absolute_error: 1.0272, root_mean_prior_squared_error: 0.3557, root_mean_squared_error: 0.3865, root_relative_squared_error: 1.0867, scimark_benchmark: 1354.3488,

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