Task
Supervised Classification on fri_c0_1000_5

Supervised Classification on fri_c0_1000_5

Task 4369 Supervised Classification fri_c0_1000_5 195 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8357, kappa: 0.6713, kb_relative_information_score: 5510.507, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8359, predictive_accuracy: 0.8357, prior_entropy: 1, recall: 0.8357, relative_absolute_error: 0.4798, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.7304, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8282, kappa: 0.6564, kb_relative_information_score: 4402.5601, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8282, predictive_accuracy: 0.8282, prior_entropy: 1, recall: 0.8282, relative_absolute_error: 0.6005, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.715, scimark_benchmark: 972.587, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.8337, kappa: 0.6674, kb_relative_information_score: 5445.5027, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8337, predictive_accuracy: 0.8337, prior_entropy: 1, recall: 0.8337, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6804, scimark_benchmark: 934.3687, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.9038, kappa: 0.8076, kb_relative_information_score: 8075.8994, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.9039, predictive_accuracy: 0.9038, prior_entropy: 1, recall: 0.9038, relative_absolute_error: 0.1924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6203, scimark_benchmark: 944.1067, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.9038, kappa: 0.8076, kb_relative_information_score: 8075.8994, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.9039, predictive_accuracy: 0.9038, prior_entropy: 1, recall: 0.9038, relative_absolute_error: 0.1924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6203, scimark_benchmark: 916.0735, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.8455, kappa: 0.691, kb_relative_information_score: 4881.206, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8455, predictive_accuracy: 0.8455, prior_entropy: 1, recall: 0.8455, relative_absolute_error: 0.5507, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.6889, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8441, kappa: 0.6882, kb_relative_information_score: 5155.1062, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8441, predictive_accuracy: 0.8441, prior_entropy: 1, recall: 0.8441, relative_absolute_error: 0.5193, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6815, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8441, kappa: 0.6882, kb_relative_information_score: 5155.1062, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8441, predictive_accuracy: 0.8441, prior_entropy: 1, recall: 0.8441, relative_absolute_error: 0.5193, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6815, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8582, kappa: 0.7164, kb_relative_information_score: 5875.843, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8583, predictive_accuracy: 0.8582, prior_entropy: 1, recall: 0.8582, relative_absolute_error: 0.4424, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.318, root_relative_squared_error: 0.636, scimark_benchmark: 938.191, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.8827, kappa: 0.7654, kb_relative_information_score: 6375.4233, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8827, predictive_accuracy: 0.8827, prior_entropy: 1, recall: 0.8827, relative_absolute_error: 0.3913, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.5906, scimark_benchmark: 934.3687, usercpu_time_millis: 14250, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 14080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.8389, kappa: 0.6778, kb_relative_information_score: 4925.4765, mean_absolute_error: 0.2717, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8389, predictive_accuracy: 0.8389, prior_entropy: 1, recall: 0.8389, relative_absolute_error: 0.5435, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7021, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.9038, kappa: 0.8076, kb_relative_information_score: 8075.8994, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.9039, predictive_accuracy: 0.9038, prior_entropy: 1, recall: 0.9038, relative_absolute_error: 0.1924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6203, scimark_benchmark: 941.3847, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.9038, kappa: 0.8076, kb_relative_information_score: 8075.8994, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.9039, predictive_accuracy: 0.9038, prior_entropy: 1, recall: 0.9038, relative_absolute_error: 0.1924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6203, scimark_benchmark: 941.3847, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8441, kappa: 0.6882, kb_relative_information_score: 5155.1062, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8441, predictive_accuracy: 0.8441, prior_entropy: 1, recall: 0.8441, relative_absolute_error: 0.5193, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6815, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8819, kappa: 0.7638, kb_relative_information_score: 6443.3338, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8821, predictive_accuracy: 0.8819, prior_entropy: 1, recall: 0.8819, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.5823, scimark_benchmark: 947.1781, usercpu_time_millis: 260, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8357, kappa: 0.6713, kb_relative_information_score: 5510.507, mean_absolute_error: 0.2399, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8359, predictive_accuracy: 0.8357, prior_entropy: 1, recall: 0.8357, relative_absolute_error: 0.4798, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.7304, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8282, kappa: 0.6564, kb_relative_information_score: 4402.5601, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8282, predictive_accuracy: 0.8282, prior_entropy: 1, recall: 0.8282, relative_absolute_error: 0.6005, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.715, scimark_benchmark: 908.9569, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.8337, kappa: 0.6674, kb_relative_information_score: 5445.5027, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8337, predictive_accuracy: 0.8337, prior_entropy: 1, recall: 0.8337, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6804, scimark_benchmark: 936.2574, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.9038, kappa: 0.8076, kb_relative_information_score: 8075.8994, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.9039, predictive_accuracy: 0.9038, prior_entropy: 1, recall: 0.9038, relative_absolute_error: 0.1924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6203, scimark_benchmark: 927.2882, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.9038, kappa: 0.8076, kb_relative_information_score: 8075.8994, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.9039, predictive_accuracy: 0.9038, prior_entropy: 1, recall: 0.9038, relative_absolute_error: 0.1924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6203, scimark_benchmark: 934.5964, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.8455, kappa: 0.691, kb_relative_information_score: 4881.206, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8455, predictive_accuracy: 0.8455, prior_entropy: 1, recall: 0.8455, relative_absolute_error: 0.5507, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.6889, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8441, kappa: 0.6882, kb_relative_information_score: 5155.1062, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8441, predictive_accuracy: 0.8441, prior_entropy: 1, recall: 0.8441, relative_absolute_error: 0.5193, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6815, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8441, kappa: 0.6882, kb_relative_information_score: 5155.1062, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8441, predictive_accuracy: 0.8441, prior_entropy: 1, recall: 0.8441, relative_absolute_error: 0.5193, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6815, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8582, kappa: 0.7164, kb_relative_information_score: 5875.843, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8583, predictive_accuracy: 0.8582, prior_entropy: 1, recall: 0.8582, relative_absolute_error: 0.4424, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.318, root_relative_squared_error: 0.636, scimark_benchmark: 930.404, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.8827, kappa: 0.7654, kb_relative_information_score: 6375.4233, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8827, predictive_accuracy: 0.8827, prior_entropy: 1, recall: 0.8827, relative_absolute_error: 0.3913, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.5906, scimark_benchmark: 919.3788, usercpu_time_millis: 12180, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 12060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8441, kappa: 0.6882, kb_relative_information_score: 5155.1062, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8441, predictive_accuracy: 0.8441, prior_entropy: 1, recall: 0.8441, relative_absolute_error: 0.5193, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6815, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.8389, kappa: 0.6778, kb_relative_information_score: 4925.4765, mean_absolute_error: 0.2717, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8389, predictive_accuracy: 0.8389, prior_entropy: 1, recall: 0.8389, relative_absolute_error: 0.5435, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7021, scimark_benchmark: 936.9595, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8819, kappa: 0.7638, kb_relative_information_score: 6443.3338, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8821, predictive_accuracy: 0.8819, prior_entropy: 1, recall: 0.8819, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.5823, scimark_benchmark: 730.6551, usercpu_time_millis: 420, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.8941, kappa: 0.7882, kb_relative_information_score: 6554.2142, mean_absolute_error: 0.1879, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8941, predictive_accuracy: 0.8941, prior_entropy: 1, recall: 0.8941, relative_absolute_error: 0.3758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.5504, scimark_benchmark: 943.6618, usercpu_time_millis: 3220, usercpu_time_millis_testing: 890, usercpu_time_millis_training: 2330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.8947, kappa: 0.7894, kb_relative_information_score: 6562.4899, mean_absolute_error: 0.1875, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8947, predictive_accuracy: 0.8947, prior_entropy: 1, recall: 0.8947, relative_absolute_error: 0.3749, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2751, root_relative_squared_error: 0.5502, scimark_benchmark: 906.5979, usercpu_time_millis: 1480, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 1150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.8938, kappa: 0.7876, kb_relative_information_score: 6551.1194, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8938, predictive_accuracy: 0.8938, prior_entropy: 1, recall: 0.8938, relative_absolute_error: 0.3755, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2773, root_relative_squared_error: 0.5546, scimark_benchmark: 862.7006, usercpu_time_millis: 720, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8905, kappa: 0.781, kb_relative_information_score: 6555.8431, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8905, predictive_accuracy: 0.8905, prior_entropy: 1, recall: 0.8905, relative_absolute_error: 0.374, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.279, root_relative_squared_error: 0.5581, scimark_benchmark: 890.4736, usercpu_time_millis: 380, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.886, kappa: 0.772, kb_relative_information_score: 6513.8262, mean_absolute_error: 0.1882, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.886, predictive_accuracy: 0.886, prior_entropy: 1, recall: 0.886, relative_absolute_error: 0.3764, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2865, root_relative_squared_error: 0.573, scimark_benchmark: 911.2316, usercpu_time_millis: 170, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.8749, kappa: 0.7498, kb_relative_information_score: 6890.8106, mean_absolute_error: 0.1625, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8749, predictive_accuracy: 0.8749, prior_entropy: 1, recall: 0.8749, relative_absolute_error: 0.3251, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.6044, scimark_benchmark: 889.4922, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9485, f_measure: 0.8749, kappa: 0.7498, kb_relative_information_score: 6890.8106, mean_absolute_error: 0.1625, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8749, predictive_accuracy: 0.8749, prior_entropy: 1, recall: 0.8749, relative_absolute_error: 0.3251, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.6044, scimark_benchmark: 941.9549, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.8749, kappa: 0.7498, kb_relative_information_score: 6885.175, mean_absolute_error: 0.1629, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8749, predictive_accuracy: 0.8749, prior_entropy: 1, recall: 0.8749, relative_absolute_error: 0.3257, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.6044, scimark_benchmark: 929.0296, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8738, kappa: 0.7476, kb_relative_information_score: 6723.3562, mean_absolute_error: 0.1724, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8738, predictive_accuracy: 0.8738, prior_entropy: 1, recall: 0.8738, relative_absolute_error: 0.3447, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.302, root_relative_squared_error: 0.6041, scimark_benchmark: 936.1714, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.3367, kb_relative_information_score: -0.1352, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.253, predictive_accuracy: 0.503, prior_entropy: 1, recall: 0.503, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8441, kappa: 0.6882, kb_relative_information_score: 5155.1062, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8441, predictive_accuracy: 0.8441, prior_entropy: 1, recall: 0.8441, relative_absolute_error: 0.5193, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6815, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8441, kappa: 0.6882, kb_relative_information_score: 5155.1062, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8441, predictive_accuracy: 0.8441, prior_entropy: 1, recall: 0.8441, relative_absolute_error: 0.5193, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6815, scimark_benchmark: 1324.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8441, kappa: 0.6882, kb_relative_information_score: 5155.1062, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8441, predictive_accuracy: 0.8441, prior_entropy: 1, recall: 0.8441, relative_absolute_error: 0.5193, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6815, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8441, kappa: 0.6882, kb_relative_information_score: 5155.1062, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8441, predictive_accuracy: 0.8441, prior_entropy: 1, recall: 0.8441, relative_absolute_error: 0.5193, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6815, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.8827, kappa: 0.7654, kb_relative_information_score: 6375.4233, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8827, predictive_accuracy: 0.8827, prior_entropy: 1, recall: 0.8827, relative_absolute_error: 0.3913, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.5906, scimark_benchmark: 1350.2591, usercpu_time_millis: 4920, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 4810,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.9038, kappa: 0.8076, kb_relative_information_score: 8075.8994, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.9039, predictive_accuracy: 0.9038, prior_entropy: 1, recall: 0.9038, relative_absolute_error: 0.1924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6203, scimark_benchmark: 1351.1238, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8441, kappa: 0.6882, kb_relative_information_score: 5155.1062, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8441, predictive_accuracy: 0.8441, prior_entropy: 1, recall: 0.8441, relative_absolute_error: 0.5193, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6815, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8441, kappa: 0.6882, kb_relative_information_score: 5155.1062, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8441, predictive_accuracy: 0.8441, prior_entropy: 1, recall: 0.8441, relative_absolute_error: 0.5193, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6815, scimark_benchmark: 1337.9552, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.8827, kappa: 0.7654, kb_relative_information_score: 6375.4233, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8827, predictive_accuracy: 0.8827, prior_entropy: 1, recall: 0.8827, relative_absolute_error: 0.3913, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2953, root_relative_squared_error: 0.5906, scimark_benchmark: 1393.8432, usercpu_time_millis: 6120, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 6010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8441, kappa: 0.6882, kb_relative_information_score: 5155.1062, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8441, predictive_accuracy: 0.8441, prior_entropy: 1, recall: 0.8441, relative_absolute_error: 0.5193, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6815, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.8337, kappa: 0.6674, kb_relative_information_score: 5445.5027, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8337, predictive_accuracy: 0.8337, prior_entropy: 1, recall: 0.8337, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6804, scimark_benchmark: 1358.6198, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.8389, kappa: 0.6778, kb_relative_information_score: 4925.4765, mean_absolute_error: 0.2717, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8389, predictive_accuracy: 0.8389, prior_entropy: 1, recall: 0.8389, relative_absolute_error: 0.5435, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7021, scimark_benchmark: 1317.6232, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.8337, kappa: 0.6674, kb_relative_information_score: 5445.5027, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8337, predictive_accuracy: 0.8337, prior_entropy: 1, recall: 0.8337, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3402, root_relative_squared_error: 0.6804, scimark_benchmark: 1325.3966, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.8575, kappa: 0.715, kb_relative_information_score: 6367.9382, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8576, predictive_accuracy: 0.8575, prior_entropy: 1, recall: 0.8575, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.6486, scimark_benchmark: 1342.2845, usercpu_time_millis: 290, usercpu_time_millis_training: 290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8441, kappa: 0.6882, kb_relative_information_score: 5155.1062, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8441, predictive_accuracy: 0.8441, prior_entropy: 1, recall: 0.8441, relative_absolute_error: 0.5193, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6815, scimark_benchmark: 1371.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8582, kappa: 0.7164, kb_relative_information_score: 5875.843, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8583, predictive_accuracy: 0.8582, prior_entropy: 1, recall: 0.8582, relative_absolute_error: 0.4424, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.318, root_relative_squared_error: 0.636, scimark_benchmark: 1329.5628, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.9038, kappa: 0.8076, kb_relative_information_score: 8075.8994, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.9039, predictive_accuracy: 0.9038, prior_entropy: 1, recall: 0.9038, relative_absolute_error: 0.1924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6203, scimark_benchmark: 1370.3901, usercpu_time_millis: 130, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9077, f_measure: 0.8389, kappa: 0.6778, kb_relative_information_score: 4925.4765, mean_absolute_error: 0.2717, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8389, predictive_accuracy: 0.8389, prior_entropy: 1, recall: 0.8389, relative_absolute_error: 0.5435, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3511, root_relative_squared_error: 0.7021, scimark_benchmark: 1331.0107, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.8819, kappa: 0.7638, kb_relative_information_score: 6443.3338, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8821, predictive_accuracy: 0.8819, prior_entropy: 1, recall: 0.8819, relative_absolute_error: 0.3818, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.5823, scimark_benchmark: 1278.9821, usercpu_time_millis: 240, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9037, f_measure: 0.9038, kappa: 0.8076, kb_relative_information_score: 8075.8994, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.9039, predictive_accuracy: 0.9038, prior_entropy: 1, recall: 0.9038, relative_absolute_error: 0.1924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6203, scimark_benchmark: 1369.7398, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.8455, kappa: 0.691, kb_relative_information_score: 4881.206, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8455, predictive_accuracy: 0.8455, prior_entropy: 1, recall: 0.8455, relative_absolute_error: 0.5507, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3445, root_relative_squared_error: 0.6889, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9192, f_measure: 0.8441, kappa: 0.6882, kb_relative_information_score: 5155.1062, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.5, number_of_instances: 10000, precision: 0.8441, predictive_accuracy: 0.8441, prior_entropy: 1, recall: 0.8441, relative_absolute_error: 0.5193, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3408, root_relative_squared_error: 0.6815, scimark_benchmark: 1260.1387, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs