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Supervised Classification on fri_c3_100_10

Supervised Classification on fri_c3_100_10

Task 4353 Supervised Classification fri_c3_100_10 225 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5752, f_measure: 0.5572, kappa: 0.1071, kb_relative_information_score: 64.2296, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.6069, predictive_accuracy: 0.62, prior_entropy: 0.9721, recall: 0.62, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4966, root_relative_squared_error: 1.0137, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.791, kappa: 0.5616, kb_relative_information_score: 397.0883, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7914, predictive_accuracy: 0.793, prior_entropy: 0.9721, recall: 0.793, relative_absolute_error: 0.6326, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8273, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8142, kappa: 0.6135, kb_relative_information_score: 546.9565, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.8145, predictive_accuracy: 0.814, prior_entropy: 0.9721, recall: 0.814, relative_absolute_error: 0.4662, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8129, scimark_benchmark: 934.3687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5692, f_measure: 0.5935, kappa: 0.1445, kb_relative_information_score: 167.4065, mean_absolute_error: 0.393, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.5931, predictive_accuracy: 0.607, prior_entropy: 0.9721, recall: 0.607, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6269, root_relative_squared_error: 1.2796, scimark_benchmark: 944.1067, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5692, f_measure: 0.5935, kappa: 0.1445, kb_relative_information_score: 167.4065, mean_absolute_error: 0.393, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.5931, predictive_accuracy: 0.607, prior_entropy: 0.9721, recall: 0.607, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6269, root_relative_squared_error: 1.2796, scimark_benchmark: 916.0735, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5619, f_measure: 0.5559, kappa: 0.1022, kb_relative_information_score: 53.3849, mean_absolute_error: 0.4563, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.6007, predictive_accuracy: 0.617, prior_entropy: 0.9721, recall: 0.617, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0219, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7382, kappa: 0.4497, kb_relative_information_score: 284.5328, mean_absolute_error: 0.3566, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7401, predictive_accuracy: 0.743, prior_entropy: 0.9721, recall: 0.743, relative_absolute_error: 0.7423, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8469, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5922, f_measure: 0.5508, kappa: 0.0557, kb_relative_information_score: 58.9645, mean_absolute_error: 0.4475, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.5473, predictive_accuracy: 0.559, prior_entropy: 0.9721, recall: 0.559, relative_absolute_error: 0.9315, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5085, root_relative_squared_error: 1.0379, scimark_benchmark: 934.2976, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, f_measure: 0.788, kappa: 0.5548, kb_relative_information_score: 450.6162, mean_absolute_error: 0.2739, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7897, predictive_accuracy: 0.791, prior_entropy: 0.9721, recall: 0.791, relative_absolute_error: 0.5702, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8487, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5692, f_measure: 0.5935, kappa: 0.1445, kb_relative_information_score: 167.4065, mean_absolute_error: 0.393, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.5931, predictive_accuracy: 0.607, prior_entropy: 0.9721, recall: 0.607, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6269, root_relative_squared_error: 1.2796, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5692, f_measure: 0.5935, kappa: 0.1445, kb_relative_information_score: 167.4065, mean_absolute_error: 0.393, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.5931, predictive_accuracy: 0.607, prior_entropy: 0.9721, recall: 0.607, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6269, root_relative_squared_error: 1.2796, scimark_benchmark: 941.3847, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5619, f_measure: 0.5559, kappa: 0.1022, kb_relative_information_score: 53.3849, mean_absolute_error: 0.4563, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.6007, predictive_accuracy: 0.617, prior_entropy: 0.9721, recall: 0.617, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0219, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5619, f_measure: 0.5559, kappa: 0.1022, kb_relative_information_score: 53.3849, mean_absolute_error: 0.4563, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.6007, predictive_accuracy: 0.617, prior_entropy: 0.9721, recall: 0.617, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0219, scimark_benchmark: 947.1781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.8051, kappa: 0.5904, kb_relative_information_score: 382.8679, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.8075, predictive_accuracy: 0.808, prior_entropy: 0.9721, recall: 0.808, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7652, scimark_benchmark: 947.1781, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5752, f_measure: 0.5572, kappa: 0.1071, kb_relative_information_score: 64.2296, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.6069, predictive_accuracy: 0.62, prior_entropy: 0.9721, recall: 0.62, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4966, root_relative_squared_error: 1.0137, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.791, kappa: 0.5616, kb_relative_information_score: 397.0883, mean_absolute_error: 0.3039, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7914, predictive_accuracy: 0.793, prior_entropy: 0.9721, recall: 0.793, relative_absolute_error: 0.6326, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4053, root_relative_squared_error: 0.8273, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.8142, kappa: 0.6135, kb_relative_information_score: 546.9565, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.8145, predictive_accuracy: 0.814, prior_entropy: 0.9721, recall: 0.814, relative_absolute_error: 0.4662, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3982, root_relative_squared_error: 0.8129, scimark_benchmark: 936.2574, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5692, f_measure: 0.5935, kappa: 0.1445, kb_relative_information_score: 167.4065, mean_absolute_error: 0.393, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.5931, predictive_accuracy: 0.607, prior_entropy: 0.9721, recall: 0.607, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6269, root_relative_squared_error: 1.2796, scimark_benchmark: 927.2882, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5692, f_measure: 0.5935, kappa: 0.1445, kb_relative_information_score: 167.4065, mean_absolute_error: 0.393, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.5931, predictive_accuracy: 0.607, prior_entropy: 0.9721, recall: 0.607, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.6269, root_relative_squared_error: 1.2796, scimark_benchmark: 943.6618, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5633, f_measure: 0.5552, kappa: 0.1003, kb_relative_information_score: 52.492, mean_absolute_error: 0.4571, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.5987, predictive_accuracy: 0.616, prior_entropy: 0.9721, recall: 0.616, relative_absolute_error: 0.9514, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0225, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5619, f_measure: 0.5559, kappa: 0.1022, kb_relative_information_score: 53.3849, mean_absolute_error: 0.4563, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.6007, predictive_accuracy: 0.617, prior_entropy: 0.9721, recall: 0.617, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0219, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5619, f_measure: 0.5559, kappa: 0.1022, kb_relative_information_score: 53.3849, mean_absolute_error: 0.4563, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.6007, predictive_accuracy: 0.617, prior_entropy: 0.9721, recall: 0.617, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0219, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.806, f_measure: 0.7382, kappa: 0.4497, kb_relative_information_score: 284.5328, mean_absolute_error: 0.3566, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7401, predictive_accuracy: 0.743, prior_entropy: 0.9721, recall: 0.743, relative_absolute_error: 0.7423, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4149, root_relative_squared_error: 0.8469, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5922, f_measure: 0.5508, kappa: 0.0557, kb_relative_information_score: 58.9645, mean_absolute_error: 0.4475, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.5473, predictive_accuracy: 0.559, prior_entropy: 0.9721, recall: 0.559, relative_absolute_error: 0.9315, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5085, root_relative_squared_error: 1.0379, scimark_benchmark: 905.2959, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5619, f_measure: 0.5559, kappa: 0.1022, kb_relative_information_score: 53.3849, mean_absolute_error: 0.4563, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.6007, predictive_accuracy: 0.617, prior_entropy: 0.9721, recall: 0.617, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0219, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, f_measure: 0.788, kappa: 0.5548, kb_relative_information_score: 450.6162, mean_absolute_error: 0.2739, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7897, predictive_accuracy: 0.791, prior_entropy: 0.9721, recall: 0.791, relative_absolute_error: 0.5702, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8487, scimark_benchmark: 730.6551, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.8051, kappa: 0.5904, kb_relative_information_score: 382.8679, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.8075, predictive_accuracy: 0.808, prior_entropy: 0.9721, recall: 0.808, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7652, scimark_benchmark: 901.4991, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.831, f_measure: 0.7657, kappa: 0.5073, kb_relative_information_score: 274.6999, mean_absolute_error: 0.3662, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7685, predictive_accuracy: 0.77, prior_entropy: 0.9721, recall: 0.77, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8334, scimark_benchmark: 934.695, usercpu_time_millis: 580, usercpu_time_millis_testing: 210, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8225, f_measure: 0.7549, kappa: 0.4845, kb_relative_information_score: 266.5152, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7583, predictive_accuracy: 0.76, prior_entropy: 0.9721, recall: 0.76, relative_absolute_error: 0.7691, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.412, root_relative_squared_error: 0.8409, scimark_benchmark: 906.5979, usercpu_time_millis: 240, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.7573, kappa: 0.4897, kb_relative_information_score: 265.9927, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7602, predictive_accuracy: 0.762, prior_entropy: 0.9721, recall: 0.762, relative_absolute_error: 0.7691, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4128, root_relative_squared_error: 0.8427, scimark_benchmark: 929.7512, usercpu_time_millis: 120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.7414, kappa: 0.4559, kb_relative_information_score: 263.7167, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7447, predictive_accuracy: 0.747, prior_entropy: 0.9721, recall: 0.747, relative_absolute_error: 0.7672, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4178, root_relative_squared_error: 0.8528, scimark_benchmark: 891.6381, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.7452, kappa: 0.4641, kb_relative_information_score: 272.0205, mean_absolute_error: 0.3629, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.749, predictive_accuracy: 0.751, prior_entropy: 0.9721, recall: 0.751, relative_absolute_error: 0.7554, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8519, scimark_benchmark: 914.3583, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.7709, kappa: 0.5197, kb_relative_information_score: 499.6975, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.771, predictive_accuracy: 0.773, prior_entropy: 0.9721, recall: 0.773, relative_absolute_error: 0.4982, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4298, root_relative_squared_error: 0.8774, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.7709, kappa: 0.5197, kb_relative_information_score: 499.4468, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.771, predictive_accuracy: 0.773, prior_entropy: 0.9721, recall: 0.773, relative_absolute_error: 0.4984, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.43, root_relative_squared_error: 0.8776, scimark_benchmark: 941.9549, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8123, f_measure: 0.7697, kappa: 0.5169, kb_relative_information_score: 496.6928, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7699, predictive_accuracy: 0.772, prior_entropy: 0.9721, recall: 0.772, relative_absolute_error: 0.5019, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.8753, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.7763, kappa: 0.5313, kb_relative_information_score: 474.4337, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7762, predictive_accuracy: 0.778, prior_entropy: 0.9721, recall: 0.778, relative_absolute_error: 0.5287, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.876, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.7552, kappa: 0.4864, kb_relative_information_score: 423.0074, mean_absolute_error: 0.2811, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7555, predictive_accuracy: 0.758, prior_entropy: 0.9721, recall: 0.758, relative_absolute_error: 0.5851, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.431, root_relative_squared_error: 0.8798, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.45, kb_relative_information_score: -0.1574, mean_absolute_error: 0.4804, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.36, predictive_accuracy: 0.6, prior_entropy: 0.9721, recall: 0.6, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4899, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8171, f_measure: 0.7935, kappa: 0.5667, kb_relative_information_score: 554.14, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7946, predictive_accuracy: 0.796, prior_entropy: 0.9721, recall: 0.796, relative_absolute_error: 0.4415, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4322, root_relative_squared_error: 0.8823, scimark_benchmark: 926.5859, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7649, kappa: 0.5064, kb_relative_information_score: 503.4614, mean_absolute_error: 0.2359, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7658, predictive_accuracy: 0.768, prior_entropy: 0.9721, recall: 0.768, relative_absolute_error: 0.4912, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.9126, 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: 0.5619, f_measure: 0.5559, kappa: 0.1022, kb_relative_information_score: 53.3849, mean_absolute_error: 0.4563, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.6007, predictive_accuracy: 0.617, prior_entropy: 0.9721, recall: 0.617, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0219, scimark_benchmark: 1333.202,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.8051, kappa: 0.5904, kb_relative_information_score: 382.8679, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.8075, predictive_accuracy: 0.808, prior_entropy: 0.9721, recall: 0.808, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.3749, root_relative_squared_error: 0.7652, scimark_benchmark: 1350.2591, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5752, f_measure: 0.5572, kappa: 0.1071, kb_relative_information_score: 64.2296, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.6069, predictive_accuracy: 0.62, prior_entropy: 0.9721, recall: 0.62, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4966, root_relative_squared_error: 1.0137, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5633, f_measure: 0.5552, kappa: 0.1003, kb_relative_information_score: 52.492, mean_absolute_error: 0.4571, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.5987, predictive_accuracy: 0.616, prior_entropy: 0.9721, recall: 0.616, relative_absolute_error: 0.9514, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0225, scimark_benchmark: 1351.1238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5619, f_measure: 0.5559, kappa: 0.1022, kb_relative_information_score: 53.3849, mean_absolute_error: 0.4563, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.6007, predictive_accuracy: 0.617, prior_entropy: 0.9721, recall: 0.617, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0219, scimark_benchmark: 1318.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5922, f_measure: 0.5508, kappa: 0.0557, kb_relative_information_score: 58.9645, mean_absolute_error: 0.4475, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.5473, predictive_accuracy: 0.559, prior_entropy: 0.9721, recall: 0.559, relative_absolute_error: 0.9315, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5085, root_relative_squared_error: 1.0379, scimark_benchmark: 1358.6198, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7821, f_measure: 0.788, kappa: 0.5548, kb_relative_information_score: 450.6162, mean_absolute_error: 0.2739, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.7897, predictive_accuracy: 0.791, prior_entropy: 0.9721, recall: 0.791, relative_absolute_error: 0.5702, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8487, scimark_benchmark: 1332.1612, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5633, f_measure: 0.5552, kappa: 0.1003, kb_relative_information_score: 52.492, mean_absolute_error: 0.4571, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.5987, predictive_accuracy: 0.616, prior_entropy: 0.9721, recall: 0.616, relative_absolute_error: 0.9514, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0225, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5619, f_measure: 0.5559, kappa: 0.1022, kb_relative_information_score: 53.3849, mean_absolute_error: 0.4563, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.6007, predictive_accuracy: 0.617, prior_entropy: 0.9721, recall: 0.617, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0219, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5619, f_measure: 0.5559, kappa: 0.1022, kb_relative_information_score: 53.3849, mean_absolute_error: 0.4563, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.6007, predictive_accuracy: 0.617, prior_entropy: 0.9721, recall: 0.617, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0219, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5619, f_measure: 0.5559, kappa: 0.1022, kb_relative_information_score: 53.3849, mean_absolute_error: 0.4563, mean_prior_absolute_error: 0.4804, number_of_instances: 1000, precision: 0.6007, predictive_accuracy: 0.617, prior_entropy: 0.9721, recall: 0.617, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.4899, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0219, scimark_benchmark: 1313.11,

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