Task
Supervised Classification on mushroom

Supervised Classification on mushroom

Task 24 Supervised Classification mushroom 12319 runs submitted
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  • at2 basic mythbusting mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_70 under100k under1m
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12319 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.8467, kappa: 0.6928, kb_relative_information_score: 5611.2636, mean_absolute_error: 0.155, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8468, predictive_accuracy: 0.8468, prior_entropy: 0.9991, recall: 0.8468, relative_absolute_error: 0.3104, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3855, root_relative_squared_error: 0.7715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -4.5491, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9895, kappa: 0.979, kb_relative_information_score: 7507.775, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9897, predictive_accuracy: 0.9895, prior_entropy: 0.9991, recall: 0.9895, relative_absolute_error: 0.0915, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1031, root_relative_squared_error: 0.2063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.1932, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5833, f_measure: 0.6035, kappa: 0.2226, kb_relative_information_score: 1725.5784, mean_absolute_error: 0.3934, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.6195, predictive_accuracy: 0.6082, prior_entropy: 0.9991, recall: 0.6082, relative_absolute_error: 0.7878, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6256, root_relative_squared_error: 1.252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.9465, kappa: 0.8929, kb_relative_information_score: 6660.3123, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9471, predictive_accuracy: 0.9466, prior_entropy: 0.9991, recall: 0.9466, relative_absolute_error: 0.2003, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.4096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -49.9325, mean_absolute_error: 0.5015, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.482, prior_entropy: 0.9991, recall: 0.482, relative_absolute_error: 1.0044, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5034, root_relative_squared_error: 1.0074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -5.4434, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -48.3229, mean_absolute_error: 0.5015, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.482, prior_entropy: 0.9991, recall: 0.482, relative_absolute_error: 1.0042, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5031, root_relative_squared_error: 1.0068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.8091, kappa: 0.6181, kb_relative_information_score: 3462.0606, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8131, predictive_accuracy: 0.8101, prior_entropy: 0.9991, recall: 0.8101, relative_absolute_error: 0.6113, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.7534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9837, kappa: 0.9674, kb_relative_information_score: 7529.0101, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9839, predictive_accuracy: 0.9838, prior_entropy: 0.9991, recall: 0.9838, relative_absolute_error: 0.0862, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1076, root_relative_squared_error: 0.2153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9443, kappa: 0.8884, kb_relative_information_score: 3301.2875, mean_absolute_error: 0.3305, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9457, predictive_accuracy: 0.9444, prior_entropy: 0.9991, recall: 0.9444, relative_absolute_error: 0.6618, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.6902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 10.3869, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -0.7559, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9253, f_measure: 0.8982, kappa: 0.7966, kb_relative_information_score: 4451.5437, mean_absolute_error: 0.2494, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9057, predictive_accuracy: 0.8989, prior_entropy: 0.9991, recall: 0.8989, relative_absolute_error: 0.4995, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.6386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -30.0267, mean_absolute_error: 0.5006, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.482, prior_entropy: 0.9991, recall: 0.482, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9793, f_measure: 0.9487, kappa: 0.8973, kb_relative_information_score: 6311.6338, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9501, predictive_accuracy: 0.9488, prior_entropy: 0.9991, recall: 0.9488, relative_absolute_error: 0.2523, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6022, f_measure: 0.6338, kappa: 0.2677, kb_relative_information_score: 2144.8409, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.6347, predictive_accuracy: 0.6337, prior_entropy: 0.9991, recall: 0.6337, relative_absolute_error: 0.7361, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6053, root_relative_squared_error: 1.2114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9607, kappa: 0.9213, kb_relative_information_score: 6840.2252, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9608, predictive_accuracy: 0.9607, prior_entropy: 0.9991, recall: 0.9607, relative_absolute_error: 0.1797, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.3801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 3508.5116, mean_absolute_error: 0.3158, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8985, predictive_accuracy: 0.8868, prior_entropy: 0.9991, recall: 0.8868, relative_absolute_error: 0.6324, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3475, root_relative_squared_error: 0.6955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9734, kappa: 0.9467, kb_relative_information_score: 5466.8833, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9734, predictive_accuracy: 0.9734, prior_entropy: 0.9991, recall: 0.9734, relative_absolute_error: 0.3849, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.235, root_relative_squared_error: 0.4703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.4623, kappa: 0.0006, kb_relative_information_score: 50.3857, mean_absolute_error: 0.496, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.5011, predictive_accuracy: 0.5111, prior_entropy: 0.9991, recall: 0.5111, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.6292, root_relative_squared_error: 1.2593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9433, kappa: 0.8864, kb_relative_information_score: 6680.1718, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9441, predictive_accuracy: 0.9434, prior_entropy: 0.9991, recall: 0.9434, relative_absolute_error: 0.1963, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.4109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -7.2929, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9856, kappa: 0.9711, kb_relative_information_score: 7539.0013, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9857, predictive_accuracy: 0.9856, prior_entropy: 0.9991, recall: 0.9856, relative_absolute_error: 0.0843, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1087, root_relative_squared_error: 0.2175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9467, f_measure: 0.9085, kappa: 0.8168, kb_relative_information_score: 5215.9638, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9117, predictive_accuracy: 0.9088, prior_entropy: 0.9991, recall: 0.9088, relative_absolute_error: 0.3983, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.5693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.945, kappa: 0.8898, kb_relative_information_score: 6343.7477, mean_absolute_error: 0.1226, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9463, predictive_accuracy: 0.9451, prior_entropy: 0.9991, recall: 0.9451, relative_absolute_error: 0.2456, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 0.1389, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.886, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 922.7196, mean_absolute_error: 0.4576, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8985, predictive_accuracy: 0.8868, prior_entropy: 0.9991, recall: 0.8868, relative_absolute_error: 0.9163, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -1.9893, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 5.3861, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9737, kappa: 0.9472, kb_relative_information_score: 6853.0037, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9737, predictive_accuracy: 0.9737, prior_entropy: 0.9991, recall: 0.9737, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1669, root_relative_squared_error: 0.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 1.1799, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -0.6792, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -0.5359, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.8937, kappa: 0.7871, kb_relative_information_score: 3590.4496, mean_absolute_error: 0.3093, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8938, predictive_accuracy: 0.8936, prior_entropy: 0.9991, recall: 0.8936, relative_absolute_error: 0.6194, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.6711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9571, kappa: 0.9142, kb_relative_information_score: 6847.6385, mean_absolute_error: 0.0883, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9573, predictive_accuracy: 0.9572, prior_entropy: 0.9991, recall: 0.9572, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.19, root_relative_squared_error: 0.3802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.7842, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9767, kappa: 0.9534, kb_relative_information_score: 7240.32, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9769, predictive_accuracy: 0.9767, prior_entropy: 0.9991, recall: 0.9767, relative_absolute_error: 0.1254, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.2833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9797, kappa: 0.9593, kb_relative_information_score: 7447.9927, mean_absolute_error: 0.0478, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9797, predictive_accuracy: 0.9797, prior_entropy: 0.9991, recall: 0.9797, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.2552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -11.9028, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.946, kappa: 0.8918, kb_relative_information_score: 6019.3573, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9474, predictive_accuracy: 0.9461, prior_entropy: 0.9991, recall: 0.9461, relative_absolute_error: 0.2976, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2205, root_relative_squared_error: 0.4412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -307.7032, mean_absolute_error: 0.518, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.482, prior_entropy: 0.9991, recall: 0.482, relative_absolute_error: 1.0373, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.7197, root_relative_squared_error: 1.4403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 5022.5603, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8985, predictive_accuracy: 0.8868, prior_entropy: 0.9991, recall: 0.8868, relative_absolute_error: 0.4228, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.6212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 1.6306, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9608, kappa: 0.9215, kb_relative_information_score: 6176.457, mean_absolute_error: 0.1397, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9611, predictive_accuracy: 0.9609, prior_entropy: 0.9991, recall: 0.9609, relative_absolute_error: 0.2797, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2003, root_relative_squared_error: 0.4009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.7707, kappa: 0.5406, kb_relative_information_score: 3350.5473, mean_absolute_error: 0.3086, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.7708, predictive_accuracy: 0.7708, prior_entropy: 0.9991, recall: 0.7708, relative_absolute_error: 0.618, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -0.1976, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9742, kappa: 0.9483, kb_relative_information_score: 6550.2784, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9742, predictive_accuracy: 0.9742, prior_entropy: 0.9991, recall: 0.9742, relative_absolute_error: 0.228, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1841, root_relative_squared_error: 0.3684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9103, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 1873.3651, mean_absolute_error: 0.4102, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8985, predictive_accuracy: 0.8868, prior_entropy: 0.9991, recall: 0.8868, relative_absolute_error: 0.8216, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4163, root_relative_squared_error: 0.8331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8906, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 5345.2599, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8985, predictive_accuracy: 0.8868, prior_entropy: 0.9991, recall: 0.8868, relative_absolute_error: 0.3745, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3094, root_relative_squared_error: 0.6191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8861, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 4580.2937, mean_absolute_error: 0.2446, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8985, predictive_accuracy: 0.8868, prior_entropy: 0.9991, recall: 0.8868, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.6347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -5.7142, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9677, kappa: 0.9354, kb_relative_information_score: 5925.3998, mean_absolute_error: 0.1578, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9678, predictive_accuracy: 0.9677, prior_entropy: 0.9991, recall: 0.9677, relative_absolute_error: 0.316, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.4373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9577, kappa: 0.9152, kb_relative_information_score: 6518.65, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9577, predictive_accuracy: 0.9577, prior_entropy: 0.9991, recall: 0.9577, relative_absolute_error: 0.2268, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.4118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9728, kappa: 0.9455, kb_relative_information_score: 7161.6619, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9728, predictive_accuracy: 0.9728, prior_entropy: 0.9991, recall: 0.9728, relative_absolute_error: 0.1369, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1588, root_relative_squared_error: 0.3179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: 4.065, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -0.7463, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 2314.5637, mean_absolute_error: 0.3857, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8985, predictive_accuracy: 0.8868, prior_entropy: 0.9991, recall: 0.8868, relative_absolute_error: 0.7725, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.9492, kappa: 0.8983, kb_relative_information_score: 6739.6353, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9497, predictive_accuracy: 0.9493, prior_entropy: 0.9991, recall: 0.9493, relative_absolute_error: 0.1883, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.4074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 34.4415, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -10.4215, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -5.7939, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 6.6154, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9885, kappa: 0.9771, kb_relative_information_score: 7533.5668, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9887, predictive_accuracy: 0.9886, prior_entropy: 0.9991, recall: 0.9886, relative_absolute_error: 0.088, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.1962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9564, kappa: 0.9127, kb_relative_information_score: 7184.3271, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9565, predictive_accuracy: 0.9564, prior_entropy: 0.9991, recall: 0.9564, relative_absolute_error: 0.1243, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.3641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.7696, kappa: 0.5395, kb_relative_information_score: 3333.1219, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.771, predictive_accuracy: 0.7696, prior_entropy: 0.9991, recall: 0.7696, relative_absolute_error: 0.6226, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.7737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9333, kappa: 0.8664, kb_relative_information_score: 3811.9714, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9343, predictive_accuracy: 0.9334, prior_entropy: 0.9991, recall: 0.9334, relative_absolute_error: 0.598, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.32, root_relative_squared_error: 0.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, kb_relative_information_score: -0.2085, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -0.4059, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 5075.5768, mean_absolute_error: 0.2081, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8985, predictive_accuracy: 0.8868, prior_entropy: 0.9991, recall: 0.8868, relative_absolute_error: 0.4168, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2939, root_relative_squared_error: 0.5883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 0.3885, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.7696, kappa: 0.5395, kb_relative_information_score: 920.4691, mean_absolute_error: 0.4571, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.771, predictive_accuracy: 0.7696, prior_entropy: 0.9991, recall: 0.7696, relative_absolute_error: 0.9155, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4609, root_relative_squared_error: 0.9225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -1.3466, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9653, kappa: 0.9305, kb_relative_information_score: 7079.5668, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9653, predictive_accuracy: 0.9653, prior_entropy: 0.9991, recall: 0.9653, relative_absolute_error: 0.146, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1609, root_relative_squared_error: 0.3221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -0.8614, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 947.7776, mean_absolute_error: 0.4564, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8985, predictive_accuracy: 0.8868, prior_entropy: 0.9991, recall: 0.8868, relative_absolute_error: 0.914, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.9168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 4704.359, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8985, predictive_accuracy: 0.8868, prior_entropy: 0.9991, recall: 0.8868, relative_absolute_error: 0.4707, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -0.8475, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 5559.6883, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8985, predictive_accuracy: 0.8868, prior_entropy: 0.9991, recall: 0.8868, relative_absolute_error: 0.3508, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2546, root_relative_squared_error: 0.5095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 19.1018, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9895, kappa: 0.979, kb_relative_information_score: 7679.3529, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9897, predictive_accuracy: 0.9895, prior_entropy: 0.9991, recall: 0.9895, relative_absolute_error: 0.0668, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.1688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.7658, kappa: 0.5309, kb_relative_information_score: 3118.0107, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.7657, predictive_accuracy: 0.7658, prior_entropy: 0.9991, recall: 0.7658, relative_absolute_error: 0.6472, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.7972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.1968, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9708, kappa: 0.9416, kb_relative_information_score: 6822.4332, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9708, predictive_accuracy: 0.9708, prior_entropy: 0.9991, recall: 0.9708, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.3466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -1.1574, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 2053.0563, mean_absolute_error: 0.4006, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8985, predictive_accuracy: 0.8868, prior_entropy: 0.9991, recall: 0.8868, relative_absolute_error: 0.8022, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4084, root_relative_squared_error: 0.8173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9837, kappa: 0.9674, kb_relative_information_score: 7226.5643, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9841, predictive_accuracy: 0.9838, prior_entropy: 0.9991, recall: 0.9838, relative_absolute_error: 0.1314, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.2634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, f_measure: 0.8863, kappa: 0.7746, kb_relative_information_score: 3292.1256, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.8985, predictive_accuracy: 0.8868, prior_entropy: 0.9991, recall: 0.8868, relative_absolute_error: 0.6585, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7117,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kb_relative_information_score: -2.9804, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9757, f_measure: 0.9365, kappa: 0.8729, kb_relative_information_score: 5626.1547, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9395, predictive_accuracy: 0.9367, prior_entropy: 0.9991, recall: 0.9367, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2486, root_relative_squared_error: 0.4976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -3.1123, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9858, kappa: 0.9716, kb_relative_information_score: 7605.409, mean_absolute_error: 0.037, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9859, predictive_accuracy: 0.9858, prior_entropy: 0.9991, recall: 0.9858, relative_absolute_error: 0.0741, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.1046, root_relative_squared_error: 0.2093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8718, f_measure: 0.8101, kappa: 0.6196, kb_relative_information_score: 1030.031, mean_absolute_error: 0.4522, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.811, predictive_accuracy: 0.8104, prior_entropy: 0.9991, recall: 0.8104, relative_absolute_error: 0.9056, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 2.8966, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, predictive_accuracy: 0.518, prior_entropy: 0.9991, recall: 0.518, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.4997, root_relative_squared_error: 1,

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