Task
Supervised Classification on fri_c0_250_5

Supervised Classification on fri_c0_250_5

Task 4347 Supervised Classification fri_c0_250_5 213 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.7496, kappa: 0.5016, kb_relative_information_score: 966.8384, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7556, predictive_accuracy: 0.7508, prior_entropy: 1, recall: 0.7508, relative_absolute_error: 0.6386, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8715, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.7904, kappa: 0.5808, kb_relative_information_score: 1060.4159, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7904, predictive_accuracy: 0.7904, prior_entropy: 1, recall: 0.7904, relative_absolute_error: 0.6079, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.381, root_relative_squared_error: 0.762, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.8032, kappa: 0.6064, kb_relative_information_score: 1269.4823, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8032, predictive_accuracy: 0.8032, prior_entropy: 1, recall: 0.8032, relative_absolute_error: 0.5154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7459, scimark_benchmark: 934.3687, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8764, kappa: 0.7528, kb_relative_information_score: 1882, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8764, predictive_accuracy: 0.8764, prior_entropy: 1, recall: 0.8764, relative_absolute_error: 0.2472, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7031, scimark_benchmark: 944.1067, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8764, kappa: 0.7528, kb_relative_information_score: 1882, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8764, predictive_accuracy: 0.8764, prior_entropy: 1, recall: 0.8764, relative_absolute_error: 0.2472, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7031, scimark_benchmark: 916.0735, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7695, kappa: 0.5416, kb_relative_information_score: 959.315, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7769, predictive_accuracy: 0.7708, prior_entropy: 1, recall: 0.7708, relative_absolute_error: 0.646, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8101, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.8179, kappa: 0.636, kb_relative_information_score: 1149.2249, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8189, predictive_accuracy: 0.818, prior_entropy: 1, recall: 0.818, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7256, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8408, kappa: 0.6816, kb_relative_information_score: 1274.8047, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8411, predictive_accuracy: 0.8408, prior_entropy: 1, recall: 0.8408, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.349, root_relative_squared_error: 0.698, scimark_benchmark: 908.6124, usercpu_time_millis: 380, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.7828, kappa: 0.5656, kb_relative_information_score: 1114.4082, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7828, predictive_accuracy: 0.7828, prior_entropy: 1, recall: 0.7828, relative_absolute_error: 0.58, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8172, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8764, kappa: 0.7528, kb_relative_information_score: 1882, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8764, predictive_accuracy: 0.8764, prior_entropy: 1, recall: 0.8764, relative_absolute_error: 0.2472, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7031, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8764, kappa: 0.7528, kb_relative_information_score: 1882, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8764, predictive_accuracy: 0.8764, prior_entropy: 1, recall: 0.8764, relative_absolute_error: 0.2472, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7031, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.7707, kappa: 0.544, kb_relative_information_score: 917.5448, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7783, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.6647, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8113, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7695, kappa: 0.5416, kb_relative_information_score: 959.315, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7769, predictive_accuracy: 0.7708, prior_entropy: 1, recall: 0.7708, relative_absolute_error: 0.646, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8101, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.8612, kappa: 0.7224, kb_relative_information_score: 1359.7458, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8615, predictive_accuracy: 0.8612, prior_entropy: 1, recall: 0.8612, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6601, scimark_benchmark: 947.1781, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.7496, kappa: 0.5016, kb_relative_information_score: 966.8384, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7556, predictive_accuracy: 0.7508, prior_entropy: 1, recall: 0.7508, relative_absolute_error: 0.6386, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.8715, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.7904, kappa: 0.5808, kb_relative_information_score: 1060.4159, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7904, predictive_accuracy: 0.7904, prior_entropy: 1, recall: 0.7904, relative_absolute_error: 0.6079, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.381, root_relative_squared_error: 0.762, scimark_benchmark: 908.9569, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.8032, kappa: 0.6064, kb_relative_information_score: 1269.4823, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8032, predictive_accuracy: 0.8032, prior_entropy: 1, recall: 0.8032, relative_absolute_error: 0.5154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7459, scimark_benchmark: 936.2574, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8764, kappa: 0.7528, kb_relative_information_score: 1882, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8764, predictive_accuracy: 0.8764, prior_entropy: 1, recall: 0.8764, relative_absolute_error: 0.2472, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7031, scimark_benchmark: 927.2882, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8764, kappa: 0.7528, kb_relative_information_score: 1882, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8764, predictive_accuracy: 0.8764, prior_entropy: 1, recall: 0.8764, relative_absolute_error: 0.2472, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7031, scimark_benchmark: 943.6618, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7695, kappa: 0.5416, kb_relative_information_score: 959.315, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7769, predictive_accuracy: 0.7708, prior_entropy: 1, recall: 0.7708, relative_absolute_error: 0.646, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8101, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.8179, kappa: 0.636, kb_relative_information_score: 1149.2249, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8189, predictive_accuracy: 0.818, prior_entropy: 1, recall: 0.818, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7256, scimark_benchmark: 903.2737, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8408, kappa: 0.6816, kb_relative_information_score: 1274.8047, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8411, predictive_accuracy: 0.8408, prior_entropy: 1, recall: 0.8408, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.349, root_relative_squared_error: 0.698, scimark_benchmark: 905.2959, usercpu_time_millis: 390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7695, kappa: 0.5416, kb_relative_information_score: 959.315, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7769, predictive_accuracy: 0.7708, prior_entropy: 1, recall: 0.7708, relative_absolute_error: 0.646, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8101, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.7828, kappa: 0.5656, kb_relative_information_score: 1114.4082, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7828, predictive_accuracy: 0.7828, prior_entropy: 1, recall: 0.7828, relative_absolute_error: 0.58, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8172, scimark_benchmark: 932.438, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.8612, kappa: 0.7224, kb_relative_information_score: 1359.7458, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8615, predictive_accuracy: 0.8612, prior_entropy: 1, recall: 0.8612, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6601, scimark_benchmark: 901.4991, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8724, kappa: 0.7448, kb_relative_information_score: 1337.8495, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8724, predictive_accuracy: 0.8724, prior_entropy: 1, recall: 0.8724, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3221, root_relative_squared_error: 0.6443, scimark_benchmark: 943.6618, usercpu_time_millis: 620, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.8648, kappa: 0.7296, kb_relative_information_score: 1339.5915, mean_absolute_error: 0.2522, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8649, predictive_accuracy: 0.8648, prior_entropy: 1, recall: 0.8648, relative_absolute_error: 0.5043, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.6456, scimark_benchmark: 943.6618, usercpu_time_millis: 320, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.868, kappa: 0.736, kb_relative_information_score: 1336.61, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8682, predictive_accuracy: 0.868, prior_entropy: 1, recall: 0.868, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3239, root_relative_squared_error: 0.6478, scimark_benchmark: 929.7512, usercpu_time_millis: 160, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9348, f_measure: 0.8636, kappa: 0.7272, kb_relative_information_score: 1332.8391, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8636, predictive_accuracy: 0.8636, prior_entropy: 1, recall: 0.8636, relative_absolute_error: 0.5054, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.6543, scimark_benchmark: 945.0448, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.8528, kappa: 0.7056, kb_relative_information_score: 1321.7499, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8528, predictive_accuracy: 0.8528, prior_entropy: 1, recall: 0.8528, relative_absolute_error: 0.5071, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.6703, scimark_benchmark: 862.7006, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.8436, kappa: 0.6872, kb_relative_information_score: 1549.3779, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8438, predictive_accuracy: 0.8436, prior_entropy: 1, recall: 0.8436, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.6966, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.8436, kappa: 0.6872, kb_relative_information_score: 1549.3779, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8438, predictive_accuracy: 0.8436, prior_entropy: 1, recall: 0.8436, relative_absolute_error: 0.396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.6966, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9079, f_measure: 0.8436, kappa: 0.6872, kb_relative_information_score: 1549.1095, mean_absolute_error: 0.1981, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8438, predictive_accuracy: 0.8436, prior_entropy: 1, recall: 0.8436, relative_absolute_error: 0.3961, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.6966, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.8416, kappa: 0.6832, kb_relative_information_score: 1541.0395, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8419, predictive_accuracy: 0.8416, prior_entropy: 1, recall: 0.8416, relative_absolute_error: 0.3998, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.6959, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8204, kappa: 0.6408, kb_relative_information_score: 1376.6488, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8207, predictive_accuracy: 0.8204, prior_entropy: 1, recall: 0.8204, relative_absolute_error: 0.4706, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7162, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.48, kappa: -0.04, kb_relative_information_score: -0.6343, mean_absolute_error: 0.5001, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.48, predictive_accuracy: 0.48, prior_entropy: 1, recall: 0.48, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5001, root_relative_squared_error: 1.0002, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9263, f_measure: 0.8584, kappa: 0.7168, kb_relative_information_score: 1758.9021, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8584, predictive_accuracy: 0.8584, prior_entropy: 1, recall: 0.8584, relative_absolute_error: 0.2992, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3531, root_relative_squared_error: 0.7063, scimark_benchmark: 936.1714, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8312, kappa: 0.6624, kb_relative_information_score: 1594.4893, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8312, predictive_accuracy: 0.8312, prior_entropy: 1, recall: 0.8312, relative_absolute_error: 0.3678, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.7457, scimark_benchmark: 938.3115, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.7828, kappa: 0.5656, kb_relative_information_score: 1114.4082, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7828, predictive_accuracy: 0.7828, prior_entropy: 1, recall: 0.7828, relative_absolute_error: 0.58, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8172, scimark_benchmark: 1317.2327, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8764, kappa: 0.7528, kb_relative_information_score: 1882, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8764, predictive_accuracy: 0.8764, prior_entropy: 1, recall: 0.8764, relative_absolute_error: 0.2472, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7031, scimark_benchmark: 1351.1238, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.7707, kappa: 0.544, kb_relative_information_score: 917.5448, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7783, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.6647, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8113, scimark_benchmark: 1331.2559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7695, kappa: 0.5416, kb_relative_information_score: 959.315, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7769, predictive_accuracy: 0.7708, prior_entropy: 1, recall: 0.7708, relative_absolute_error: 0.646, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8101, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7695, kappa: 0.5416, kb_relative_information_score: 959.315, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7769, predictive_accuracy: 0.7708, prior_entropy: 1, recall: 0.7708, relative_absolute_error: 0.646, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8101, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7695, kappa: 0.5416, kb_relative_information_score: 959.315, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7769, predictive_accuracy: 0.7708, prior_entropy: 1, recall: 0.7708, relative_absolute_error: 0.646, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8101, scimark_benchmark: 1347.1763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.8179, kappa: 0.636, kb_relative_information_score: 1149.2249, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8189, predictive_accuracy: 0.818, prior_entropy: 1, recall: 0.818, relative_absolute_error: 0.576, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3628, root_relative_squared_error: 0.7256, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9086, f_measure: 0.8408, kappa: 0.6816, kb_relative_information_score: 1274.8047, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8411, predictive_accuracy: 0.8408, prior_entropy: 1, recall: 0.8408, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.349, root_relative_squared_error: 0.698, scimark_benchmark: 1374.9737, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7695, kappa: 0.5416, kb_relative_information_score: 959.315, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7769, predictive_accuracy: 0.7708, prior_entropy: 1, recall: 0.7708, relative_absolute_error: 0.646, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8101, scimark_benchmark: 1393.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8272, f_measure: 0.7707, kappa: 0.544, kb_relative_information_score: 917.5448, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7783, predictive_accuracy: 0.772, prior_entropy: 1, recall: 0.772, relative_absolute_error: 0.6647, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4057, root_relative_squared_error: 0.8113, scimark_benchmark: 1325.4787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7695, kappa: 0.5416, kb_relative_information_score: 959.315, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7769, predictive_accuracy: 0.7708, prior_entropy: 1, recall: 0.7708, relative_absolute_error: 0.646, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8101, scimark_benchmark: 1345.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7695, kappa: 0.5416, kb_relative_information_score: 959.315, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7769, predictive_accuracy: 0.7708, prior_entropy: 1, recall: 0.7708, relative_absolute_error: 0.646, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8101, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7695, kappa: 0.5416, kb_relative_information_score: 959.315, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7769, predictive_accuracy: 0.7708, prior_entropy: 1, recall: 0.7708, relative_absolute_error: 0.646, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8101, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.7695, kappa: 0.5416, kb_relative_information_score: 959.315, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7769, predictive_accuracy: 0.7708, prior_entropy: 1, recall: 0.7708, relative_absolute_error: 0.646, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8101, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8332, f_measure: 0.7828, kappa: 0.5656, kb_relative_information_score: 1114.4082, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7828, predictive_accuracy: 0.7828, prior_entropy: 1, recall: 0.7828, relative_absolute_error: 0.58, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8172, scimark_benchmark: 1347.3402, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.93, f_measure: 0.8612, kappa: 0.7224, kb_relative_information_score: 1359.7458, mean_absolute_error: 0.245, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8615, predictive_accuracy: 0.8612, prior_entropy: 1, recall: 0.8612, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.33, root_relative_squared_error: 0.6601, scimark_benchmark: 1320.8283, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.7904, kappa: 0.5808, kb_relative_information_score: 1060.4159, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.7904, predictive_accuracy: 0.7904, prior_entropy: 1, recall: 0.7904, relative_absolute_error: 0.6079, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.381, root_relative_squared_error: 0.762, scimark_benchmark: 1350.1007, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.8032, kappa: 0.6064, kb_relative_information_score: 1395.2416, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8032, predictive_accuracy: 0.8032, prior_entropy: 1, recall: 0.8032, relative_absolute_error: 0.4562, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8382, scimark_benchmark: 1321.4771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8842, f_measure: 0.8032, kappa: 0.6064, kb_relative_information_score: 1269.4823, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8032, predictive_accuracy: 0.8032, prior_entropy: 1, recall: 0.8032, relative_absolute_error: 0.5154, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7459, scimark_benchmark: 1325.3966, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8764, kappa: 0.7528, kb_relative_information_score: 1882, mean_absolute_error: 0.1236, mean_prior_absolute_error: 0.5, number_of_instances: 2500, precision: 0.8764, predictive_accuracy: 0.8764, prior_entropy: 1, recall: 0.8764, relative_absolute_error: 0.2472, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7031, scimark_benchmark: 1334.9442, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs