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Supervised Classification on monks-problems-1

Supervised Classification on monks-problems-1

Task 146064 Supervised Classification monks-problems-1 239379 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9314, kappa: 0.8633, kb_relative_information_score: 266.596, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9375, predictive_accuracy: 0.9317, prior_entropy: 1, recall: 0.9317, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.6394, scimark_benchmark: 1876.6882, usercpu_time_millis: 0.227, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.935, kappa: 0.8705, kb_relative_information_score: 263.8276, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9411, predictive_accuracy: 0.9353, prior_entropy: 1, recall: 0.9353, relative_absolute_error: 0.588, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6421, scimark_benchmark: 2168.0736, usercpu_time_millis: 0.189, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.7995, kappa: 0.6043, kb_relative_information_score: 261.5042, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8191, predictive_accuracy: 0.8022, prior_entropy: 1, recall: 0.8022, relative_absolute_error: 0.554, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.7958, scimark_benchmark: 1996.1826, usercpu_time_millis: 0.218, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8706, kappa: 0.7446, kb_relative_information_score: 264.7203, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8925, predictive_accuracy: 0.8723, prior_entropy: 1, recall: 0.8723, relative_absolute_error: 0.5761, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.661, scimark_benchmark: 1872.3296, usercpu_time_millis: 0.216, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9495, kappa: 0.8993, kb_relative_information_score: 248.2116, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.953, predictive_accuracy: 0.9496, prior_entropy: 1, recall: 0.9496, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.6613, scimark_benchmark: 1874.4489, usercpu_time_millis: 0.23, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8706, kappa: 0.7446, kb_relative_information_score: 264.7203, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8925, predictive_accuracy: 0.8723, prior_entropy: 1, recall: 0.8723, relative_absolute_error: 0.5761, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.661, scimark_benchmark: 1837.5011, usercpu_time_millis: 0.203, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9332, kappa: 0.8669, kb_relative_information_score: 225.0342, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9389, predictive_accuracy: 0.9335, prior_entropy: 1, recall: 0.9335, relative_absolute_error: 0.66, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6935, scimark_benchmark: 1993.8158, usercpu_time_millis: 0.225, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9405, kappa: 0.8813, kb_relative_information_score: 236.9018, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9448, predictive_accuracy: 0.9406, prior_entropy: 1, recall: 0.9406, relative_absolute_error: 0.6387, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.6769, scimark_benchmark: 1831.4766, usercpu_time_millis: 0.206, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9405, kappa: 0.8813, kb_relative_information_score: 221.3484, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9448, predictive_accuracy: 0.9406, prior_entropy: 1, recall: 0.9406, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.6987, scimark_benchmark: 1989.5198, usercpu_time_millis: 0.221, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 0.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.853, kappa: 0.7086, kb_relative_information_score: 259.6622, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8677, predictive_accuracy: 0.8543, prior_entropy: 1, recall: 0.8543, relative_absolute_error: 0.5734, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7053, scimark_benchmark: 1995.664, usercpu_time_millis: 0.203, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 0.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9405, kappa: 0.8813, kb_relative_information_score: 221.3484, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9448, predictive_accuracy: 0.9406, prior_entropy: 1, recall: 0.9406, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.6987, scimark_benchmark: 1834.8401, usercpu_time_millis: 0.216, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9459, kappa: 0.8921, kb_relative_information_score: 229.6875, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.95, predictive_accuracy: 0.946, prior_entropy: 1, recall: 0.946, relative_absolute_error: 0.6519, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.6868, scimark_benchmark: 1771.9787, usercpu_time_millis: 0.214, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9441, kappa: 0.8885, kb_relative_information_score: 233.6492, mean_absolute_error: 0.3223, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9485, predictive_accuracy: 0.9442, prior_entropy: 1, recall: 0.9442, relative_absolute_error: 0.6446, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.6813, scimark_benchmark: 1835.7874, usercpu_time_millis: 0.208, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8706, kappa: 0.7446, kb_relative_information_score: 264.7203, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8925, predictive_accuracy: 0.8723, prior_entropy: 1, recall: 0.8723, relative_absolute_error: 0.5761, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.661, scimark_benchmark: 1778.2901, usercpu_time_millis: 0.207, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7751, kappa: 0.5504, kb_relative_information_score: 268.8753, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7754, predictive_accuracy: 0.7752, prior_entropy: 1, recall: 0.7752, relative_absolute_error: 0.5312, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8493, scimark_benchmark: 1831.7916, usercpu_time_millis: 0.205, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.853, kappa: 0.7086, kb_relative_information_score: 259.6622, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8677, predictive_accuracy: 0.8543, prior_entropy: 1, recall: 0.8543, relative_absolute_error: 0.5734, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7053, scimark_benchmark: 1777.2935, usercpu_time_millis: 0.209, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7716, f_measure: 0.7715, kappa: 0.5432, kb_relative_information_score: 302, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7719, predictive_accuracy: 0.7716, prior_entropy: 1, recall: 0.7716, relative_absolute_error: 0.4568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4779, root_relative_squared_error: 0.9559, scimark_benchmark: 1830.7778, usercpu_time_millis: 0.202, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.796, kappa: 0.5971, kb_relative_information_score: 257.0116, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8142, predictive_accuracy: 0.7986, prior_entropy: 1, recall: 0.7986, relative_absolute_error: 0.5649, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.388, root_relative_squared_error: 0.776, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.221, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, f_measure: 0.796, kappa: 0.5971, kb_relative_information_score: 257.0116, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8142, predictive_accuracy: 0.7986, prior_entropy: 1, recall: 0.7986, relative_absolute_error: 0.5649, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.388, root_relative_squared_error: 0.776, scimark_benchmark: 1872.4881, usercpu_time_millis: 0.195, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9333, kappa: 0.8669, kb_relative_information_score: 261.0834, mean_absolute_error: 0.2968, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9382, predictive_accuracy: 0.9335, prior_entropy: 1, recall: 0.9335, relative_absolute_error: 0.5936, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.645, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.222, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7751, kappa: 0.5504, kb_relative_information_score: 268.8753, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7754, predictive_accuracy: 0.7752, prior_entropy: 1, recall: 0.7752, relative_absolute_error: 0.5312, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8493, scimark_benchmark: 1871.3226, usercpu_time_millis: 0.23, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.935, kappa: 0.8705, kb_relative_information_score: 263.8276, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9411, predictive_accuracy: 0.9353, prior_entropy: 1, recall: 0.9353, relative_absolute_error: 0.588, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6421, scimark_benchmark: 1874.5188, usercpu_time_millis: 0.2, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 0.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.8671, kappa: 0.7374, kb_relative_information_score: 263.8916, mean_absolute_error: 0.2871, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8874, predictive_accuracy: 0.8687, prior_entropy: 1, recall: 0.8687, relative_absolute_error: 0.5743, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.6713, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.225, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9459, kappa: 0.8921, kb_relative_information_score: 250.8662, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.95, predictive_accuracy: 0.946, prior_entropy: 1, recall: 0.946, relative_absolute_error: 0.613, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.329, root_relative_squared_error: 0.658, scimark_benchmark: 1872.4881, usercpu_time_millis: 0.235, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 0.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9296, kappa: 0.8597, kb_relative_information_score: 266.1203, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.936, predictive_accuracy: 0.9299, prior_entropy: 1, recall: 0.9299, relative_absolute_error: 0.5793, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.6469, scimark_benchmark: 1870.2804, usercpu_time_millis: 0.231, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9332, kappa: 0.8669, kb_relative_information_score: 225.0342, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9389, predictive_accuracy: 0.9335, prior_entropy: 1, recall: 0.9335, relative_absolute_error: 0.66, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6935, scimark_benchmark: 1837.174, usercpu_time_millis: 0.211, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9441, kappa: 0.8885, kb_relative_information_score: 256.1481, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9473, predictive_accuracy: 0.9442, prior_entropy: 1, recall: 0.9442, relative_absolute_error: 0.6035, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6504, scimark_benchmark: 1841.1855, usercpu_time_millis: 0.197, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9314, kappa: 0.8633, kb_relative_information_score: 267.5333, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9375, predictive_accuracy: 0.9317, prior_entropy: 1, recall: 0.9317, relative_absolute_error: 0.5787, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.6409, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.225, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9459, kappa: 0.8921, kb_relative_information_score: 229.6875, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.95, predictive_accuracy: 0.946, prior_entropy: 1, recall: 0.946, relative_absolute_error: 0.6519, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.6868, scimark_benchmark: 1868.6447, usercpu_time_millis: 0.223, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7733, kappa: 0.5468, kb_relative_information_score: 263.6792, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7736, predictive_accuracy: 0.7734, prior_entropy: 1, recall: 0.7734, relative_absolute_error: 0.5452, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4113, root_relative_squared_error: 0.8225, scimark_benchmark: 1876.6882, usercpu_time_millis: 0.206, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9459, kappa: 0.8921, kb_relative_information_score: 229.6875, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.95, predictive_accuracy: 0.946, prior_entropy: 1, recall: 0.946, relative_absolute_error: 0.6519, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3434, root_relative_squared_error: 0.6868, scimark_benchmark: 2155.5687, usercpu_time_millis: 0.203, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9441, kappa: 0.8885, kb_relative_information_score: 256.1481, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9473, predictive_accuracy: 0.9442, prior_entropy: 1, recall: 0.9442, relative_absolute_error: 0.6035, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6504, scimark_benchmark: 1864.8991, usercpu_time_millis: 0.204, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.8117, kappa: 0.6295, kb_relative_information_score: 260.6288, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8367, predictive_accuracy: 0.8147, prior_entropy: 1, recall: 0.8147, relative_absolute_error: 0.5641, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7435, scimark_benchmark: 1872.4881, usercpu_time_millis: 0.074, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9296, kappa: 0.8597, kb_relative_information_score: 266.1203, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.936, predictive_accuracy: 0.9299, prior_entropy: 1, recall: 0.9299, relative_absolute_error: 0.5793, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.6469, scimark_benchmark: 1831.2834, usercpu_time_millis: 0.216, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9405, kappa: 0.8813, kb_relative_information_score: 219.279, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9448, predictive_accuracy: 0.9406, prior_entropy: 1, recall: 0.9406, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3506, root_relative_squared_error: 0.7012, scimark_benchmark: 1862.2553, usercpu_time_millis: 0.204, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9423, kappa: 0.8849, kb_relative_information_score: 241.4219, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9464, predictive_accuracy: 0.9424, prior_entropy: 1, recall: 0.9424, relative_absolute_error: 0.6307, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.6704, scimark_benchmark: 1838.5622, usercpu_time_millis: 0.224, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.126,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8082, f_measure: 0.7995, kappa: 0.6043, kb_relative_information_score: 261.5042, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8191, predictive_accuracy: 0.8022, prior_entropy: 1, recall: 0.8022, relative_absolute_error: 0.554, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.7958, scimark_benchmark: 1982.2408, usercpu_time_millis: 0.232, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9441, kappa: 0.8885, kb_relative_information_score: 256.1481, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9473, predictive_accuracy: 0.9442, prior_entropy: 1, recall: 0.9442, relative_absolute_error: 0.6035, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6504, scimark_benchmark: 1829.7167, usercpu_time_millis: 0.206, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9495, kappa: 0.8993, kb_relative_information_score: 248.2116, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.953, predictive_accuracy: 0.9496, prior_entropy: 1, recall: 0.9496, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.6613, scimark_benchmark: 1989.4115, usercpu_time_millis: 0.234, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9459, kappa: 0.8921, kb_relative_information_score: 250.8662, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.95, predictive_accuracy: 0.946, prior_entropy: 1, recall: 0.946, relative_absolute_error: 0.613, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.329, root_relative_squared_error: 0.658, scimark_benchmark: 1832.5264, usercpu_time_millis: 0.215, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.8117, kappa: 0.6295, kb_relative_information_score: 260.6288, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8367, predictive_accuracy: 0.8147, prior_entropy: 1, recall: 0.8147, relative_absolute_error: 0.5641, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7435, scimark_benchmark: 1830.2223, usercpu_time_millis: 0.078, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7751, kappa: 0.5504, kb_relative_information_score: 268.8753, mean_absolute_error: 0.2656, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7754, predictive_accuracy: 0.7752, prior_entropy: 1, recall: 0.7752, relative_absolute_error: 0.5312, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4247, root_relative_squared_error: 0.8493, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.218, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.8117, kappa: 0.6295, kb_relative_information_score: 260.6288, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8367, predictive_accuracy: 0.8147, prior_entropy: 1, recall: 0.8147, relative_absolute_error: 0.5641, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7435, scimark_benchmark: 1876.6882, usercpu_time_millis: 0.079, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.935, kappa: 0.8705, kb_relative_information_score: 263.8276, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9411, predictive_accuracy: 0.9353, prior_entropy: 1, recall: 0.9353, relative_absolute_error: 0.588, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6421, scimark_benchmark: 1869.6309, usercpu_time_millis: 0.213, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8706, kappa: 0.7446, kb_relative_information_score: 264.7203, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8925, predictive_accuracy: 0.8723, prior_entropy: 1, recall: 0.8723, relative_absolute_error: 0.5761, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.661, scimark_benchmark: 1869.7037, usercpu_time_millis: 0.208, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.8327, kappa: 0.6691, kb_relative_information_score: 258.6091, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8498, predictive_accuracy: 0.8345, prior_entropy: 1, recall: 0.8345, relative_absolute_error: 0.5714, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.7245, scimark_benchmark: 1764.5599, usercpu_time_millis: 0.217, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9296, kappa: 0.8597, kb_relative_information_score: 266.1203, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.936, predictive_accuracy: 0.9299, prior_entropy: 1, recall: 0.9299, relative_absolute_error: 0.5793, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.6469, scimark_benchmark: 1772.2093, usercpu_time_millis: 0.235, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8935, f_measure: 0.853, kappa: 0.7086, kb_relative_information_score: 259.6622, mean_absolute_error: 0.2867, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8677, predictive_accuracy: 0.8543, prior_entropy: 1, recall: 0.8543, relative_absolute_error: 0.5734, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7053, scimark_benchmark: 1769.2227, usercpu_time_millis: 0.227, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 0.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7716, f_measure: 0.7715, kappa: 0.5432, kb_relative_information_score: 302, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7719, predictive_accuracy: 0.7716, prior_entropy: 1, recall: 0.7716, relative_absolute_error: 0.4568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4779, root_relative_squared_error: 0.9559, scimark_benchmark: 1765.4372, usercpu_time_millis: 0.237, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 0.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9459, kappa: 0.8921, kb_relative_information_score: 250.8662, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.95, predictive_accuracy: 0.946, prior_entropy: 1, recall: 0.946, relative_absolute_error: 0.613, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.329, root_relative_squared_error: 0.658, scimark_benchmark: 1772.6221, usercpu_time_millis: 0.238, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 0.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9296, kappa: 0.8597, kb_relative_information_score: 266.1203, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.936, predictive_accuracy: 0.9299, prior_entropy: 1, recall: 0.9299, relative_absolute_error: 0.5793, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3235, root_relative_squared_error: 0.6469, scimark_benchmark: 1767.8311, usercpu_time_millis: 0.216, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9314, kappa: 0.8633, kb_relative_information_score: 267.5333, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9375, predictive_accuracy: 0.9317, prior_entropy: 1, recall: 0.9317, relative_absolute_error: 0.5787, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3205, root_relative_squared_error: 0.6409, scimark_benchmark: 1768.8099, usercpu_time_millis: 0.21, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7716, f_measure: 0.7715, kappa: 0.5432, kb_relative_information_score: 302, mean_absolute_error: 0.2284, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.7719, predictive_accuracy: 0.7716, prior_entropy: 1, recall: 0.7716, relative_absolute_error: 0.4568, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4779, root_relative_squared_error: 0.9559, scimark_benchmark: 1760.6424, usercpu_time_millis: 0.211, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9441, kappa: 0.8885, kb_relative_information_score: 256.1481, mean_absolute_error: 0.3018, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9473, predictive_accuracy: 0.9442, prior_entropy: 1, recall: 0.9442, relative_absolute_error: 0.6035, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6504, scimark_benchmark: 1768.3404, usercpu_time_millis: 0.214, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9495, kappa: 0.8993, kb_relative_information_score: 243.7655, mean_absolute_error: 0.3131, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.953, predictive_accuracy: 0.9496, prior_entropy: 1, recall: 0.9496, relative_absolute_error: 0.6262, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3338, root_relative_squared_error: 0.6675, scimark_benchmark: 1766.5411, usercpu_time_millis: 0.224, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9332, kappa: 0.8669, kb_relative_information_score: 225.0342, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9389, predictive_accuracy: 0.9335, prior_entropy: 1, recall: 0.9335, relative_absolute_error: 0.66, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3467, root_relative_squared_error: 0.6935, scimark_benchmark: 1764.1558, usercpu_time_millis: 0.23, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.8117, kappa: 0.6295, kb_relative_information_score: 260.6288, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8367, predictive_accuracy: 0.8147, prior_entropy: 1, recall: 0.8147, relative_absolute_error: 0.5641, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7435, scimark_benchmark: 1765.0294, usercpu_time_millis: 0.081, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.935, kappa: 0.8705, kb_relative_information_score: 263.8276, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9411, predictive_accuracy: 0.9353, prior_entropy: 1, recall: 0.9353, relative_absolute_error: 0.588, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6421, scimark_benchmark: 1848.4176, usercpu_time_millis: 0.205, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 0.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.9224, kappa: 0.8453, kb_relative_information_score: 265.542, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9295, predictive_accuracy: 0.9227, prior_entropy: 1, recall: 0.9227, relative_absolute_error: 0.5775, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3266, root_relative_squared_error: 0.6531, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.229, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9387, kappa: 0.8777, kb_relative_information_score: 258.8063, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9427, predictive_accuracy: 0.9388, prior_entropy: 1, recall: 0.9388, relative_absolute_error: 0.5982, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6474, scimark_benchmark: 2172.4374, usercpu_time_millis: 0.187, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.8327, kappa: 0.6691, kb_relative_information_score: 258.6091, mean_absolute_error: 0.2857, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8498, predictive_accuracy: 0.8345, prior_entropy: 1, recall: 0.8345, relative_absolute_error: 0.5714, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3622, root_relative_squared_error: 0.7245, scimark_benchmark: 1877.2162, usercpu_time_millis: 0.229, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 0.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9405, kappa: 0.8813, kb_relative_information_score: 221.3484, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9448, predictive_accuracy: 0.9406, prior_entropy: 1, recall: 0.9406, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.6987, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.235, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 0.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9387, kappa: 0.8777, kb_relative_information_score: 258.8063, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9427, predictive_accuracy: 0.9388, prior_entropy: 1, recall: 0.9388, relative_absolute_error: 0.5982, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6474, scimark_benchmark: 1831.7211, usercpu_time_millis: 0.207, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8706, kappa: 0.7446, kb_relative_information_score: 264.7203, mean_absolute_error: 0.2881, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8925, predictive_accuracy: 0.8723, prior_entropy: 1, recall: 0.8723, relative_absolute_error: 0.5761, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.661, scimark_benchmark: 1995.4439, usercpu_time_millis: 0.229, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 0.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9314, kappa: 0.8633, kb_relative_information_score: 266.596, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9375, predictive_accuracy: 0.9317, prior_entropy: 1, recall: 0.9317, relative_absolute_error: 0.5821, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3197, root_relative_squared_error: 0.6394, scimark_benchmark: 1988.3337, usercpu_time_millis: 0.223, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.8117, kappa: 0.6295, kb_relative_information_score: 260.6288, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8367, predictive_accuracy: 0.8147, prior_entropy: 1, recall: 0.8147, relative_absolute_error: 0.5641, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3717, root_relative_squared_error: 0.7435, scimark_benchmark: 1991.2206, usercpu_time_millis: 0.071, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9459, kappa: 0.8921, kb_relative_information_score: 250.8662, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.95, predictive_accuracy: 0.946, prior_entropy: 1, recall: 0.946, relative_absolute_error: 0.613, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.329, root_relative_squared_error: 0.658, scimark_benchmark: 1878.1423, usercpu_time_millis: 0.223, usercpu_time_millis_testing: 0.096, usercpu_time_millis_training: 0.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9387, kappa: 0.8777, kb_relative_information_score: 258.8063, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.9427, predictive_accuracy: 0.9388, prior_entropy: 1, recall: 0.9388, relative_absolute_error: 0.5982, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6474, scimark_benchmark: 1881.0567, usercpu_time_millis: 0.212, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.121,

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