Task
Supervised Classification on sonar

Supervised Classification on sonar

Task 39 Supervised Classification sonar 915 runs submitted
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  • basic mythbusting mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_29 study_30 study_41 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.6923, kappa: 0.3818, kb_relative_information_score: 72.6827, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6923, predictive_accuracy: 0.6923, prior_entropy: 0.9968, recall: 0.6923, relative_absolute_error: 0.6584, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5301, root_relative_squared_error: 1.0625, scimark_benchmark: 947.6089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.7733, kappa: 0.5439, kb_relative_information_score: 106.522, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7743, predictive_accuracy: 0.774, prior_entropy: 0.9968, recall: 0.774, relative_absolute_error: 0.4981, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.817, scimark_benchmark: 909.8226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8287, f_measure: 0.8312, kappa: 0.6604, kb_relative_information_score: 137.5362, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8325, predictive_accuracy: 0.8317, prior_entropy: 0.9968, recall: 0.8317, relative_absolute_error: 0.3381, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8223, scimark_benchmark: 948.2978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5052, f_measure: 0.3821, kappa: 0.011, kb_relative_information_score: 14.7502, mean_absolute_error: 0.4615, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7525, predictive_accuracy: 0.5385, prior_entropy: 0.9968, recall: 0.5385, relative_absolute_error: 0.9272, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6794, root_relative_squared_error: 1.3618, scimark_benchmark: 948.2583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8856, f_measure: 0.7958, kappa: 0.5901, kb_relative_information_score: 98.0909, mean_absolute_error: 0.2723, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8033, predictive_accuracy: 0.7981, prior_entropy: 0.9968, recall: 0.7981, relative_absolute_error: 0.5471, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.7524, scimark_benchmark: 930.4702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.8315, kappa: 0.6613, kb_relative_information_score: 137.5362, mean_absolute_error: 0.1683, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8317, predictive_accuracy: 0.8317, prior_entropy: 0.9968, recall: 0.8317, relative_absolute_error: 0.3381, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8223, scimark_benchmark: 947.0665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.8364, kappa: 0.6712, kb_relative_information_score: 139.549, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8365, predictive_accuracy: 0.8365, prior_entropy: 0.9968, recall: 0.8365, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8104, scimark_benchmark: 904.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4852, f_measure: 0.3714, kb_relative_information_score: -0.0408, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0001, scimark_benchmark: 940.7135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7817, f_measure: 0.7834, kappa: 0.5645, kb_relative_information_score: 117.4073, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7835, predictive_accuracy: 0.7837, prior_entropy: 0.9968, recall: 0.7837, relative_absolute_error: 0.4346, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9324, scimark_benchmark: 943.372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.7303, kappa: 0.4577, kb_relative_information_score: 78.8349, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7304, predictive_accuracy: 0.7308, prior_entropy: 0.9968, recall: 0.7308, relative_absolute_error: 0.6379, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.7955, scimark_benchmark: 947.3055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5155, f_measure: 0.4029, kappa: 0.0329, kb_relative_information_score: 18.776, mean_absolute_error: 0.4519, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7553, predictive_accuracy: 0.5481, prior_entropy: 0.9968, recall: 0.5481, relative_absolute_error: 0.9079, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6723, root_relative_squared_error: 1.3476, scimark_benchmark: 911.3321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.567, f_measure: 0.4974, kappa: 0.1418, kb_relative_information_score: 38.9048, mean_absolute_error: 0.4038, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7701, predictive_accuracy: 0.5962, prior_entropy: 0.9968, recall: 0.5962, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6355, root_relative_squared_error: 1.2739, scimark_benchmark: 892.0248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.7207, kappa: 0.4383, kb_relative_information_score: 75.8966, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7208, predictive_accuracy: 0.7212, prior_entropy: 0.9968, recall: 0.7212, relative_absolute_error: 0.6463, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9488, scimark_benchmark: 912.5749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.8459, kappa: 0.6901, kb_relative_information_score: 143.5748, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8463, predictive_accuracy: 0.8462, prior_entropy: 0.9968, recall: 0.8462, relative_absolute_error: 0.3091, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7862, scimark_benchmark: 946.2851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.87, kappa: 0.7387, kb_relative_information_score: 153.6392, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8702, predictive_accuracy: 0.8702, prior_entropy: 0.9968, recall: 0.8702, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.7222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8765, f_measure: 0.7671, kappa: 0.5321, kb_relative_information_score: 77.4921, mean_absolute_error: 0.3303, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7721, predictive_accuracy: 0.7692, prior_entropy: 0.9968, recall: 0.7692, relative_absolute_error: 0.6635, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.7751, scimark_benchmark: 947.1922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, f_measure: 0.7629, kappa: 0.5233, kb_relative_information_score: 72.991, mean_absolute_error: 0.3404, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7657, predictive_accuracy: 0.7644, prior_entropy: 0.9968, recall: 0.7644, relative_absolute_error: 0.6838, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.7913, scimark_benchmark: 914.7727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.7518, kappa: 0.5019, kb_relative_information_score: 85.6045, mean_absolute_error: 0.3015, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7592, predictive_accuracy: 0.7548, prior_entropy: 0.9968, recall: 0.7548, relative_absolute_error: 0.6058, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3871, root_relative_squared_error: 0.7759, scimark_benchmark: 948.9314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.7958, kappa: 0.5901, kb_relative_information_score: 79.8383, mean_absolute_error: 0.3256, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8033, predictive_accuracy: 0.7981, prior_entropy: 0.9968, recall: 0.7981, relative_absolute_error: 0.654, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.7603, scimark_benchmark: 949.0744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3714, kb_relative_information_score: 12.7373, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6829, root_relative_squared_error: 1.3689, scimark_benchmark: 942.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8972, f_measure: 0.7982, kappa: 0.5948, kb_relative_information_score: 105.9553, mean_absolute_error: 0.2528, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7984, predictive_accuracy: 0.7981, prior_entropy: 0.9968, recall: 0.7981, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.7328, scimark_benchmark: 946.9761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.8364, kappa: 0.6712, kb_relative_information_score: 139.549, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8365, predictive_accuracy: 0.8365, prior_entropy: 0.9968, recall: 0.8365, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8104, scimark_benchmark: 946.1822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.8696, kappa: 0.7377, kb_relative_information_score: 153.6392, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8723, predictive_accuracy: 0.8702, prior_entropy: 0.9968, recall: 0.8702, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3603, root_relative_squared_error: 0.7222, scimark_benchmark: 923.0266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.678, kappa: 0.3533, kb_relative_information_score: 72.5339, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6781, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0979, scimark_benchmark: 947.6784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7262, f_measure: 0.6974, kappa: 0.395, kb_relative_information_score: 75.0694, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7004, predictive_accuracy: 0.6971, prior_entropy: 0.9968, recall: 0.6971, relative_absolute_error: 0.6452, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5164, root_relative_squared_error: 1.0352, scimark_benchmark: 911.7823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.7772, kappa: 0.5522, kb_relative_information_score: 102.7145, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7809, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8066, scimark_benchmark: 947.4874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.7772, kappa: 0.5522, kb_relative_information_score: 102.7145, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7809, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8066, scimark_benchmark: 947.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.7907, kappa: 0.58, kb_relative_information_score: 79.9299, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7991, predictive_accuracy: 0.7933, prior_entropy: 0.9968, recall: 0.7933, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7581, scimark_benchmark: 939.5795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3714, kb_relative_information_score: 12.7373, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6829, root_relative_squared_error: 1.3689, scimark_benchmark: 924.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3714, kb_relative_information_score: 12.7373, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6829, root_relative_squared_error: 1.3689, scimark_benchmark: 946.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7108, f_measure: 0.714, kappa: 0.4253, kb_relative_information_score: 89.2269, mean_absolute_error: 0.2837, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7174, predictive_accuracy: 0.7163, prior_entropy: 0.9968, recall: 0.7163, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5326, root_relative_squared_error: 1.0676, scimark_benchmark: 947.3994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.8412, kappa: 0.6806, kb_relative_information_score: 141.5619, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8413, predictive_accuracy: 0.8413, prior_entropy: 0.9968, recall: 0.8413, relative_absolute_error: 0.3187, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3983, root_relative_squared_error: 0.7984, scimark_benchmark: 921.8766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.8408, kappa: 0.6798, kb_relative_information_score: 138.8369, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8422, predictive_accuracy: 0.8413, prior_entropy: 0.9968, recall: 0.8413, relative_absolute_error: 0.3331, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3663, root_relative_squared_error: 0.7343, scimark_benchmark: 941.8426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7096, f_measure: 0.6825, kappa: 0.3617, kb_relative_information_score: 74.1469, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6823, predictive_accuracy: 0.6827, prior_entropy: 0.9968, recall: 0.6827, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5379, root_relative_squared_error: 1.0782, scimark_benchmark: 945.9314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, f_measure: 0.6925, kappa: 0.3866, kb_relative_information_score: 76.4202, mean_absolute_error: 0.3169, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6973, predictive_accuracy: 0.6923, prior_entropy: 0.9968, recall: 0.6923, relative_absolute_error: 0.6366, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.515, root_relative_squared_error: 1.0323, scimark_benchmark: 945.3995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.8455, kappa: 0.6893, kb_relative_information_score: 143.5748, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8474, predictive_accuracy: 0.8462, prior_entropy: 0.9968, recall: 0.8462, relative_absolute_error: 0.3091, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7862, scimark_benchmark: 946.7826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8184, f_measure: 0.8175, kappa: 0.6344, kb_relative_information_score: 131.4975, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8191, predictive_accuracy: 0.8173, prior_entropy: 0.9968, recall: 0.8173, relative_absolute_error: 0.367, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8568, scimark_benchmark: 946.1803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3714, kb_relative_information_score: 12.7373, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6829, root_relative_squared_error: 1.3689, scimark_benchmark: 923.9667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6972, f_measure: 0.678, kappa: 0.3533, kb_relative_information_score: 72.3715, mean_absolute_error: 0.3249, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6781, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.6528, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5455, root_relative_squared_error: 1.0935, scimark_benchmark: 944.8621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8505, kappa: 0.6992, kb_relative_information_score: 138.1857, mean_absolute_error: 0.1694, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8519, predictive_accuracy: 0.851, prior_entropy: 0.9968, recall: 0.851, relative_absolute_error: 0.3404, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3323, root_relative_squared_error: 0.666, scimark_benchmark: 923.2292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.678, kappa: 0.3533, kb_relative_information_score: 72.5339, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6781, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0979, scimark_benchmark: 941.082,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8397, kappa: 0.6781, kb_relative_information_score: 87.4946, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8472, predictive_accuracy: 0.8413, prior_entropy: 0.9968, recall: 0.8413, relative_absolute_error: 0.622, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7159, scimark_benchmark: 942.3809, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.7536, kappa: 0.5045, kb_relative_information_score: 100.0919, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7553, predictive_accuracy: 0.7548, prior_entropy: 0.9968, recall: 0.7548, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9109, scimark_benchmark: 946.9304, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.4383, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9107, scimark_benchmark: 1324.6442, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7278, f_measure: 0.6707, kappa: 0.338, kb_relative_information_score: 60.2948, mean_absolute_error: 0.3606, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6728, predictive_accuracy: 0.6731, prior_entropy: 0.9968, recall: 0.6731, relative_absolute_error: 0.7245, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4856, root_relative_squared_error: 0.9734, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8641, f_measure: 0.7712, kappa: 0.5409, kb_relative_information_score: 70.7887, mean_absolute_error: 0.3482, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7791, predictive_accuracy: 0.774, prior_entropy: 0.9968, recall: 0.774, relative_absolute_error: 0.6995, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.7892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4852, f_measure: 0.3714, kb_relative_information_score: -0.0408, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.7374, kappa: 0.4729, kb_relative_information_score: 81.2651, mean_absolute_error: 0.3148, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7435, predictive_accuracy: 0.7404, prior_entropy: 0.9968, recall: 0.7404, relative_absolute_error: 0.6325, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.7968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8441, f_measure: 0.8487, kappa: 0.6968, kb_relative_information_score: 145.5877, mean_absolute_error: 0.149, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8615, predictive_accuracy: 0.851, prior_entropy: 0.9968, recall: 0.851, relative_absolute_error: 0.2994, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.7739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.7881, kappa: 0.5739, kb_relative_information_score: 111.9554, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7883, predictive_accuracy: 0.7885, prior_entropy: 0.9968, recall: 0.7885, relative_absolute_error: 0.4704, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3956, root_relative_squared_error: 0.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8144, f_measure: 0.742, kappa: 0.4823, kb_relative_information_score: 87.5485, mean_absolute_error: 0.2947, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7492, predictive_accuracy: 0.7452, prior_entropy: 0.9968, recall: 0.7452, relative_absolute_error: 0.592, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.8528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8172, kappa: 0.6325, kb_relative_information_score: 114.6059, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8172, predictive_accuracy: 0.8173, prior_entropy: 0.9968, recall: 0.8173, relative_absolute_error: 0.4648, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.6966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4852, f_measure: 0.3714, kb_relative_information_score: -0.0408, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0001, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4852, f_measure: 0.3714, kb_relative_information_score: -0.0408, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0001, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, f_measure: 0.7455, kappa: 0.4904, kb_relative_information_score: 101.3042, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7475, predictive_accuracy: 0.7452, prior_entropy: 0.9968, recall: 0.7452, relative_absolute_error: 0.5119, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.0119, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.8016, kappa: 0.6011, kb_relative_information_score: 105.8959, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8049, predictive_accuracy: 0.8029, prior_entropy: 0.9968, recall: 0.8029, relative_absolute_error: 0.5053, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.6753, kappa: 0.364, kb_relative_information_score: 76.3358, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6962, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.6312, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5278, root_relative_squared_error: 1.058, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8397, kappa: 0.6781, kb_relative_information_score: 87.4946, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8472, predictive_accuracy: 0.8413, prior_entropy: 0.9968, recall: 0.8413, relative_absolute_error: 0.622, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7159, scimark_benchmark: 1851.1033, usercpu_time_millis: 62.4004, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.8009, kappa: 0.6001, kb_relative_information_score: 86.9411, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8075, predictive_accuracy: 0.8029, prior_entropy: 0.9968, recall: 0.8029, relative_absolute_error: 0.6116, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7573, scimark_benchmark: 1850.8887, usercpu_time_millis: 46.8003, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.6798, kappa: 0.3739, kb_relative_information_score: 73.4099, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7025, predictive_accuracy: 0.6827, prior_entropy: 0.9968, recall: 0.6827, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.537, root_relative_squared_error: 1.0764, scimark_benchmark: 1336.8944,

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