OpenML
Supervised Classification on waveform-5000

Supervised Classification on waveform-5000

Task 58 Supervised Classification waveform-5000 14815 runs submitted
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  • at2 basic OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_73 under100k under1m
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14815 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9009, f_measure: 0.8676, kappa: 0.8017, kb_relative_information_score: 0.8191, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8682, predictive_accuracy: 0.8678, prior_entropy: 1.5849, recall: 0.8678, relative_absolute_error: 0.1983, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2969, root_relative_squared_error: 0.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5398, f_measure: 0.3718, kappa: 0.0801, kb_relative_information_score: 0.1623, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.4327, predictive_accuracy: 0.3888, prior_entropy: 1.5849, recall: 0.3888, relative_absolute_error: 0.9169, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6383, root_relative_squared_error: 1.3541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.5127, kappa: 0.2497, kb_relative_information_score: 0.3165, mean_absolute_error: 0.3328, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.5555, predictive_accuracy: 0.5008, prior_entropy: 1.5849, recall: 0.5008, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5769, root_relative_squared_error: 1.2238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8534, kappa: 0.7804, kb_relative_information_score: 0.7997, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8537, predictive_accuracy: 0.8536, prior_entropy: 1.5849, recall: 0.8536, relative_absolute_error: 0.2196, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.6627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5815, f_measure: 0.44, kappa: 0.1638, kb_relative_information_score: 0.2381, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.4847, predictive_accuracy: 0.4438, prior_entropy: 1.5849, recall: 0.4438, relative_absolute_error: 0.8343, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6089, root_relative_squared_error: 1.2918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8664, kappa: 0.8009, kb_relative_information_score: 0.8185, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8708, predictive_accuracy: 0.8672, prior_entropy: 1.5849, recall: 0.8672, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.6312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, f_measure: 0.5348, kappa: 0.2844, kb_relative_information_score: 0.348, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.5747, predictive_accuracy: 0.5238, prior_entropy: 1.5849, recall: 0.5238, relative_absolute_error: 0.7143, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5634, root_relative_squared_error: 1.1953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8664, kappa: 0.8009, kb_relative_information_score: 0.8185, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8708, predictive_accuracy: 0.8672, prior_entropy: 1.5849, recall: 0.8672, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.6312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0919, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, predictive_accuracy: 0.3384, prior_entropy: 1.5849, recall: 0.3384, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6641, root_relative_squared_error: 1.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8066, f_measure: 0.7082, kappa: 0.6128, kb_relative_information_score: 0.647, mean_absolute_error: 0.1725, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8058, predictive_accuracy: 0.7412, prior_entropy: 1.5849, recall: 0.7412, relative_absolute_error: 0.3882, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5853, f_measure: 0.4503, kappa: 0.1715, kb_relative_information_score: 0.245, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.4816, predictive_accuracy: 0.4488, prior_entropy: 1.5849, recall: 0.4488, relative_absolute_error: 0.8268, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6062, root_relative_squared_error: 1.286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6101, f_measure: 0.4895, kappa: 0.2213, kb_relative_information_score: 0.2904, mean_absolute_error: 0.3455, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.5251, predictive_accuracy: 0.4818, prior_entropy: 1.5849, recall: 0.4818, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5878, root_relative_squared_error: 1.2469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5398, f_measure: 0.3718, kappa: 0.0801, kb_relative_information_score: 0.1623, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.4327, predictive_accuracy: 0.3888, prior_entropy: 1.5849, recall: 0.3888, relative_absolute_error: 0.9169, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6383, root_relative_squared_error: 1.3541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.8624, kappa: 0.7955, kb_relative_information_score: 0.8136, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.869, predictive_accuracy: 0.8636, prior_entropy: 1.5849, recall: 0.8636, relative_absolute_error: 0.2046, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.6397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8682, kappa: 0.8026, kb_relative_information_score: 0.82, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8687, predictive_accuracy: 0.8684, prior_entropy: 1.5849, recall: 0.8684, relative_absolute_error: 0.1974, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.6283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6415, f_measure: 0.5348, kappa: 0.2844, kb_relative_information_score: 0.348, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.5747, predictive_accuracy: 0.5238, prior_entropy: 1.5849, recall: 0.5238, relative_absolute_error: 0.7143, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5634, root_relative_squared_error: 1.1953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0919, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, predictive_accuracy: 0.3384, prior_entropy: 1.5849, recall: 0.3384, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6641, root_relative_squared_error: 1.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.6671, kappa: 0.5728, kb_relative_information_score: 0.6105, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7919, predictive_accuracy: 0.7144, prior_entropy: 1.5849, recall: 0.7144, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.9257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.6671, kappa: 0.5728, kb_relative_information_score: 0.6105, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7919, predictive_accuracy: 0.7144, prior_entropy: 1.5849, recall: 0.7144, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.9257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8682, kappa: 0.8026, kb_relative_information_score: 0.82, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8687, predictive_accuracy: 0.8684, prior_entropy: 1.5849, recall: 0.8684, relative_absolute_error: 0.1974, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.6283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.6671, kappa: 0.5728, kb_relative_information_score: 0.6105, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7919, predictive_accuracy: 0.7144, prior_entropy: 1.5849, recall: 0.7144, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.9257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.6671, kappa: 0.5728, kb_relative_information_score: 0.6105, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7919, predictive_accuracy: 0.7144, prior_entropy: 1.5849, recall: 0.7144, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.9257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8682, kappa: 0.8026, kb_relative_information_score: 0.82, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8687, predictive_accuracy: 0.8684, prior_entropy: 1.5849, recall: 0.8684, relative_absolute_error: 0.1974, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.6283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.8624, kappa: 0.7955, kb_relative_information_score: 0.8136, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.869, predictive_accuracy: 0.8636, prior_entropy: 1.5849, recall: 0.8636, relative_absolute_error: 0.2046, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.6397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.6671, kappa: 0.5728, kb_relative_information_score: 0.6105, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7919, predictive_accuracy: 0.7144, prior_entropy: 1.5849, recall: 0.7144, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.9257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5382, f_measure: 0.3658, kappa: 0.077, kb_relative_information_score: 0.1597, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.4343, predictive_accuracy: 0.387, prior_entropy: 1.5849, recall: 0.387, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6393, root_relative_squared_error: 1.3561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5248, f_measure: 0.3235, kappa: 0.0499, kb_relative_information_score: 0.1354, mean_absolute_error: 0.4204, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.4684, predictive_accuracy: 0.3694, prior_entropy: 1.5849, recall: 0.3694, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6484, root_relative_squared_error: 1.3755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.8638, kappa: 0.796, kb_relative_information_score: 0.8139, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8642, predictive_accuracy: 0.864, prior_entropy: 1.5849, recall: 0.864, relative_absolute_error: 0.204, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kappa: 0.0003, kb_relative_information_score: 0.0921, mean_absolute_error: 0.4409, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, predictive_accuracy: 0.3386, prior_entropy: 1.5849, recall: 0.3386, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.664, root_relative_squared_error: 1.4087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5249, f_measure: 0.3305, kappa: 0.0502, kb_relative_information_score: 0.1355, mean_absolute_error: 0.4204, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.4408, predictive_accuracy: 0.3694, prior_entropy: 1.5849, recall: 0.3694, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6484, root_relative_squared_error: 1.3755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.8099, kappa: 0.7146, kb_relative_information_score: 0.7396, mean_absolute_error: 0.1268, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8104, predictive_accuracy: 0.8098, prior_entropy: 1.5849, recall: 0.8098, relative_absolute_error: 0.2853, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3561, root_relative_squared_error: 0.7554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8671, kappa: 0.8011, kb_relative_information_score: 0.8186, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8679, predictive_accuracy: 0.8674, prior_entropy: 1.5849, recall: 0.8674, relative_absolute_error: 0.1989, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.6307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.8392, kappa: 0.7588, kb_relative_information_score: 0.7799, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8392, predictive_accuracy: 0.8392, prior_entropy: 1.5849, recall: 0.8392, relative_absolute_error: 0.2412, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.6946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.8643, kappa: 0.7973, kb_relative_information_score: 0.8151, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8669, predictive_accuracy: 0.8648, prior_entropy: 1.5849, recall: 0.8648, relative_absolute_error: 0.2028, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3002, root_relative_squared_error: 0.6369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5213, f_measure: 0.3156, kappa: 0.0428, kb_relative_information_score: 0.1288, mean_absolute_error: 0.4236, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.4608, predictive_accuracy: 0.3646, prior_entropy: 1.5849, recall: 0.3646, relative_absolute_error: 0.9532, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6508, root_relative_squared_error: 1.3807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8995, f_measure: 0.8658, kappa: 0.799, kb_relative_information_score: 0.8167, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8663, predictive_accuracy: 0.866, prior_entropy: 1.5849, recall: 0.866, relative_absolute_error: 0.201, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.6341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.7807, kappa: 0.6934, kb_relative_information_score: 0.7206, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8357, predictive_accuracy: 0.7952, prior_entropy: 1.5849, recall: 0.7952, relative_absolute_error: 0.3072, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.7839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8653, kappa: 0.7984, kb_relative_information_score: 0.8161, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8661, predictive_accuracy: 0.8656, prior_entropy: 1.5849, recall: 0.8656, relative_absolute_error: 0.2016, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kappa: 0.0003, kb_relative_information_score: 0.0921, mean_absolute_error: 0.4409, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, predictive_accuracy: 0.3386, prior_entropy: 1.5849, recall: 0.3386, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.664, root_relative_squared_error: 1.4087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.8624, kappa: 0.7939, kb_relative_information_score: 0.812, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8627, predictive_accuracy: 0.8626, prior_entropy: 1.5849, recall: 0.8626, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0919, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, predictive_accuracy: 0.3384, prior_entropy: 1.5849, recall: 0.3384, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6641, root_relative_squared_error: 1.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0919, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, predictive_accuracy: 0.3384, prior_entropy: 1.5849, recall: 0.3384, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6641, root_relative_squared_error: 1.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8666, f_measure: 0.8222, kappa: 0.7333, kb_relative_information_score: 0.7566, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8223, predictive_accuracy: 0.8222, prior_entropy: 1.5849, recall: 0.8222, relative_absolute_error: 0.2667, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.7304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.868, kappa: 0.803, kb_relative_information_score: 0.8204, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8718, predictive_accuracy: 0.8686, prior_entropy: 1.5849, recall: 0.8686, relative_absolute_error: 0.1971, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.296, root_relative_squared_error: 0.6279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.8643, kappa: 0.7973, kb_relative_information_score: 0.8151, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8669, predictive_accuracy: 0.8648, prior_entropy: 1.5849, recall: 0.8648, relative_absolute_error: 0.2028, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3002, root_relative_squared_error: 0.6369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.6671, kappa: 0.5728, kb_relative_information_score: 0.6105, mean_absolute_error: 0.1904, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.7919, predictive_accuracy: 0.7144, prior_entropy: 1.5849, recall: 0.7144, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.9257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8682, kappa: 0.8026, kb_relative_information_score: 0.82, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8687, predictive_accuracy: 0.8684, prior_entropy: 1.5849, recall: 0.8684, relative_absolute_error: 0.1974, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.6283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8436, kappa: 0.7651, kb_relative_information_score: 0.7856, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.844, predictive_accuracy: 0.8434, prior_entropy: 1.5849, recall: 0.8434, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.6854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.8661, kappa: 0.7996, kb_relative_information_score: 0.8173, mean_absolute_error: 0.0891, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8671, predictive_accuracy: 0.8664, prior_entropy: 1.5849, recall: 0.8664, relative_absolute_error: 0.2004, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.6331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8508, kappa: 0.7806, kb_relative_information_score: 0.8001, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8662, predictive_accuracy: 0.8536, prior_entropy: 1.5849, recall: 0.8536, relative_absolute_error: 0.2196, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.6627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.868, kappa: 0.803, kb_relative_information_score: 0.8204, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8718, predictive_accuracy: 0.8686, prior_entropy: 1.5849, recall: 0.8686, relative_absolute_error: 0.1971, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.296, root_relative_squared_error: 0.6279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8508, kappa: 0.7806, kb_relative_information_score: 0.8001, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8662, predictive_accuracy: 0.8536, prior_entropy: 1.5849, recall: 0.8536, relative_absolute_error: 0.2196, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3124, root_relative_squared_error: 0.6627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.8209, kappa: 0.7402, kb_relative_information_score: 0.7633, mean_absolute_error: 0.1156, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8456, predictive_accuracy: 0.8266, prior_entropy: 1.5849, recall: 0.8266, relative_absolute_error: 0.2601, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.34, root_relative_squared_error: 0.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8682, kappa: 0.8026, kb_relative_information_score: 0.82, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8687, predictive_accuracy: 0.8684, prior_entropy: 1.5849, recall: 0.8684, relative_absolute_error: 0.1974, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.6283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5248, f_measure: 0.3235, kappa: 0.0499, kb_relative_information_score: 0.1354, mean_absolute_error: 0.4204, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.4684, predictive_accuracy: 0.3694, prior_entropy: 1.5849, recall: 0.3694, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6484, root_relative_squared_error: 1.3755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8648, kappa: 0.7975, kb_relative_information_score: 0.8153, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8652, predictive_accuracy: 0.865, prior_entropy: 1.5849, recall: 0.865, relative_absolute_error: 0.2025, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3, root_relative_squared_error: 0.6364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.8436, kappa: 0.7651, kb_relative_information_score: 0.7856, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.844, predictive_accuracy: 0.8434, prior_entropy: 1.5849, recall: 0.8434, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3231, root_relative_squared_error: 0.6854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0919, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, predictive_accuracy: 0.3384, prior_entropy: 1.5849, recall: 0.3384, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6641, root_relative_squared_error: 1.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.8455, kappa: 0.7681, kb_relative_information_score: 0.7883, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.846, predictive_accuracy: 0.8454, prior_entropy: 1.5849, recall: 0.8454, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.321, root_relative_squared_error: 0.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0919, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, predictive_accuracy: 0.3384, prior_entropy: 1.5849, recall: 0.3384, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6641, root_relative_squared_error: 1.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8639, f_measure: 0.8186, kappa: 0.7279, kb_relative_information_score: 0.7517, mean_absolute_error: 0.1209, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8187, predictive_accuracy: 0.8186, prior_entropy: 1.5849, recall: 0.8186, relative_absolute_error: 0.2721, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3478, root_relative_squared_error: 0.7377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5213, f_measure: 0.3156, kappa: 0.0428, kb_relative_information_score: 0.1288, mean_absolute_error: 0.4236, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.4608, predictive_accuracy: 0.3646, prior_entropy: 1.5849, recall: 0.3646, relative_absolute_error: 0.9532, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6508, root_relative_squared_error: 1.3807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.8601, kappa: 0.7926, kb_relative_information_score: 0.8109, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8692, predictive_accuracy: 0.8616, prior_entropy: 1.5849, recall: 0.8616, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.6444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.8663, kappa: 0.7999, kb_relative_information_score: 0.8175, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8675, predictive_accuracy: 0.8666, prior_entropy: 1.5849, recall: 0.8666, relative_absolute_error: 0.2001, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.6326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.8392, kappa: 0.7588, kb_relative_information_score: 0.7799, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8392, predictive_accuracy: 0.8392, prior_entropy: 1.5849, recall: 0.8392, relative_absolute_error: 0.2412, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3274, root_relative_squared_error: 0.6946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8965, f_measure: 0.8601, kappa: 0.7926, kb_relative_information_score: 0.8109, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8692, predictive_accuracy: 0.8616, prior_entropy: 1.5849, recall: 0.8616, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.6444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.8644, kappa: 0.7969, kb_relative_information_score: 0.8147, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8647, predictive_accuracy: 0.8646, prior_entropy: 1.5849, recall: 0.8646, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3004, root_relative_squared_error: 0.6374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8653, kappa: 0.7984, kb_relative_information_score: 0.8161, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8661, predictive_accuracy: 0.8656, prior_entropy: 1.5849, recall: 0.8656, relative_absolute_error: 0.2016, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.8455, kappa: 0.7681, kb_relative_information_score: 0.7883, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.846, predictive_accuracy: 0.8454, prior_entropy: 1.5849, recall: 0.8454, relative_absolute_error: 0.2319, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.321, root_relative_squared_error: 0.681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6149, f_measure: 0.4985, kappa: 0.2311, kb_relative_information_score: 0.2994, mean_absolute_error: 0.3411, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.5352, predictive_accuracy: 0.4884, prior_entropy: 1.5849, recall: 0.4884, relative_absolute_error: 0.7674, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.584, root_relative_squared_error: 1.2389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.8624, kappa: 0.7939, kb_relative_information_score: 0.812, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8627, predictive_accuracy: 0.8626, prior_entropy: 1.5849, recall: 0.8626, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.8509, kappa: 0.7762, kb_relative_information_score: 0.7957, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8512, predictive_accuracy: 0.8508, prior_entropy: 1.5849, recall: 0.8508, relative_absolute_error: 0.2238, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3154, root_relative_squared_error: 0.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.869, kappa: 0.8042, kb_relative_information_score: 0.8214, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8706, predictive_accuracy: 0.8694, prior_entropy: 1.5849, recall: 0.8694, relative_absolute_error: 0.1959, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8904, f_measure: 0.8506, kappa: 0.7803, kb_relative_information_score: 0.7998, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.866, predictive_accuracy: 0.8534, prior_entropy: 1.5849, recall: 0.8534, relative_absolute_error: 0.2199, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.6632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8988, f_measure: 0.8648, kappa: 0.7975, kb_relative_information_score: 0.8153, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8652, predictive_accuracy: 0.865, prior_entropy: 1.5849, recall: 0.865, relative_absolute_error: 0.2025, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3, root_relative_squared_error: 0.6364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.8624, kappa: 0.7955, kb_relative_information_score: 0.8136, mean_absolute_error: 0.0909, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.869, predictive_accuracy: 0.8636, prior_entropy: 1.5849, recall: 0.8636, relative_absolute_error: 0.2046, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.6397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8996, f_measure: 0.8656, kappa: 0.7991, kb_relative_information_score: 0.8167, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8669, predictive_accuracy: 0.866, prior_entropy: 1.5849, recall: 0.866, relative_absolute_error: 0.201, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.6341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8653, kappa: 0.7984, kb_relative_information_score: 0.8161, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8661, predictive_accuracy: 0.8656, prior_entropy: 1.5849, recall: 0.8656, relative_absolute_error: 0.2016, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.8624, kappa: 0.7939, kb_relative_information_score: 0.812, mean_absolute_error: 0.0916, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8627, predictive_accuracy: 0.8626, prior_entropy: 1.5849, recall: 0.8626, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3027, root_relative_squared_error: 0.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.8663, kappa: 0.7999, kb_relative_information_score: 0.8175, mean_absolute_error: 0.0889, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8675, predictive_accuracy: 0.8666, prior_entropy: 1.5849, recall: 0.8666, relative_absolute_error: 0.2001, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.6326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8671, kappa: 0.8011, kb_relative_information_score: 0.8186, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8679, predictive_accuracy: 0.8674, prior_entropy: 1.5849, recall: 0.8674, relative_absolute_error: 0.1989, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.6307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0919, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, predictive_accuracy: 0.3384, prior_entropy: 1.5849, recall: 0.3384, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6641, root_relative_squared_error: 1.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9006, f_measure: 0.8664, kappa: 0.8009, kb_relative_information_score: 0.8185, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8708, predictive_accuracy: 0.8672, prior_entropy: 1.5849, recall: 0.8672, relative_absolute_error: 0.1992, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.6312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8987, f_measure: 0.8643, kappa: 0.7973, kb_relative_information_score: 0.8151, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8669, predictive_accuracy: 0.8648, prior_entropy: 1.5849, recall: 0.8648, relative_absolute_error: 0.2028, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3002, root_relative_squared_error: 0.6369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8682, kappa: 0.8026, kb_relative_information_score: 0.82, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8687, predictive_accuracy: 0.8684, prior_entropy: 1.5849, recall: 0.8684, relative_absolute_error: 0.1974, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.6283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, kappa: 0.0003, kb_relative_information_score: 0.0921, mean_absolute_error: 0.4409, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, predictive_accuracy: 0.3386, prior_entropy: 1.5849, recall: 0.3386, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.664, root_relative_squared_error: 1.4087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5248, f_measure: 0.3235, kappa: 0.0499, kb_relative_information_score: 0.1354, mean_absolute_error: 0.4204, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.4684, predictive_accuracy: 0.3694, prior_entropy: 1.5849, recall: 0.3694, relative_absolute_error: 0.946, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6484, root_relative_squared_error: 1.3755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5398, f_measure: 0.3718, kappa: 0.0801, kb_relative_information_score: 0.1623, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.4327, predictive_accuracy: 0.3888, prior_entropy: 1.5849, recall: 0.3888, relative_absolute_error: 0.9169, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6383, root_relative_squared_error: 1.3541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, f_measure: 0.7513, kappa: 0.656, kb_relative_information_score: 0.6865, mean_absolute_error: 0.1532, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8051, predictive_accuracy: 0.7702, prior_entropy: 1.5849, recall: 0.7702, relative_absolute_error: 0.3447, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.8303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.8626, kappa: 0.7942, kb_relative_information_score: 0.8123, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.863, predictive_accuracy: 0.8628, prior_entropy: 1.5849, recall: 0.8628, relative_absolute_error: 0.2058, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3024, root_relative_squared_error: 0.6416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5225, f_measure: 0.3211, kappa: 0.0454, kb_relative_information_score: 0.1311, mean_absolute_error: 0.4225, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.4545, predictive_accuracy: 0.3662, prior_entropy: 1.5849, recall: 0.3662, relative_absolute_error: 0.9508, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.65, root_relative_squared_error: 1.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0919, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, predictive_accuracy: 0.3384, prior_entropy: 1.5849, recall: 0.3384, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6641, root_relative_squared_error: 1.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0919, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, predictive_accuracy: 0.3384, prior_entropy: 1.5849, recall: 0.3384, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6641, root_relative_squared_error: 1.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6295, f_measure: 0.5209, kappa: 0.2603, kb_relative_information_score: 0.3261, mean_absolute_error: 0.3281, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.5596, predictive_accuracy: 0.5078, prior_entropy: 1.5849, recall: 0.5078, relative_absolute_error: 0.7383, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5728, root_relative_squared_error: 1.2152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.8377, kappa: 0.7564, kb_relative_information_score: 0.7777, mean_absolute_error: 0.1083, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8378, predictive_accuracy: 0.8376, prior_entropy: 1.5849, recall: 0.8376, relative_absolute_error: 0.2436, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.329, root_relative_squared_error: 0.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.8658, kappa: 0.7994, kb_relative_information_score: 0.817, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8671, predictive_accuracy: 0.8662, prior_entropy: 1.5849, recall: 0.8662, relative_absolute_error: 0.2007, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.6336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.8636, kappa: 0.7957, kb_relative_information_score: 0.8136, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.864, predictive_accuracy: 0.8638, prior_entropy: 1.5849, recall: 0.8638, relative_absolute_error: 0.2043, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3013, root_relative_squared_error: 0.6392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6184, f_measure: 0.5039, kappa: 0.238, kb_relative_information_score: 0.3057, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.5511, predictive_accuracy: 0.493, prior_entropy: 1.5849, recall: 0.493, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5814, root_relative_squared_error: 1.2333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6184, f_measure: 0.5039, kappa: 0.238, kb_relative_information_score: 0.3057, mean_absolute_error: 0.338, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.5524, predictive_accuracy: 0.493, prior_entropy: 1.5849, recall: 0.493, relative_absolute_error: 0.7605, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5814, root_relative_squared_error: 1.2333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0919, mean_absolute_error: 0.4411, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, predictive_accuracy: 0.3384, prior_entropy: 1.5849, recall: 0.3384, relative_absolute_error: 0.9925, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6641, root_relative_squared_error: 1.4089,

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

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From your own software

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

OpenML APIs