Task
Supervised Classification on mozilla4

Supervised Classification on mozilla4

Task 3899 Supervised Classification mozilla4 107074 runs submitted
0 likes downloaded by 3 people , 9 total downloads 0 issues
Visibility: Public
  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 under100k under1m
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107074 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.5394, kb_relative_information_score: 0.2147, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.5394, kb_relative_information_score: 0.2147, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.5394, kb_relative_information_score: 0.2147, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.5394, kb_relative_information_score: 0.2147, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.8523, kappa: 0.6673, kb_relative_information_score: 6056.319, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8535, predictive_accuracy: 0.8515, prior_entropy: 0.9135, recall: 0.8515, relative_absolute_error: 0.6294, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.7663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.5394, kb_relative_information_score: 763.542, mean_absolute_error: 0.4234, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9597, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.5394, kb_relative_information_score: 1132.5188, mean_absolute_error: 0.4136, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9374, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4435, root_relative_squared_error: 0.9442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8723, f_measure: 0.7845, kappa: 0.4965, kb_relative_information_score: 3302.9575, mean_absolute_error: 0.3574, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8055, predictive_accuracy: 0.8007, prior_entropy: 0.9135, recall: 0.8007, relative_absolute_error: 0.81, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.5394, kb_relative_information_score: 0.2147, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8847, f_measure: 0.8233, kappa: 0.5923, kb_relative_information_score: 4718.2399, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8245, predictive_accuracy: 0.8277, prior_entropy: 0.9135, recall: 0.8277, relative_absolute_error: 0.7195, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.5394, kb_relative_information_score: 169.6797, mean_absolute_error: 0.4373, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.9913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.5394, kb_relative_information_score: 0.2147, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.5394, kb_relative_information_score: 0.2147, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.5394, kb_relative_information_score: 617.8897, mean_absolute_error: 0.4266, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9667, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8846, f_measure: 0.8445, kappa: 0.6464, kb_relative_information_score: 5458.339, mean_absolute_error: 0.2958, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8441, predictive_accuracy: 0.845, prior_entropy: 0.9135, recall: 0.845, relative_absolute_error: 0.6703, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3674, root_relative_squared_error: 0.7823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.5394, kb_relative_information_score: 0.2147, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.5394, kb_relative_information_score: 1949.5595, mean_absolute_error: 0.3919, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.8883, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.9087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.5394, kb_relative_information_score: 0.2147, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8852, f_measure: 0.8276, kappa: 0.6026, kb_relative_information_score: 4716.8985, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8284, predictive_accuracy: 0.8315, prior_entropy: 0.9135, recall: 0.8315, relative_absolute_error: 0.7196, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3781, root_relative_squared_error: 0.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.7818, kappa: 0.491, kb_relative_information_score: 3861.7776, mean_absolute_error: 0.3418, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7942, predictive_accuracy: 0.7952, prior_entropy: 0.9135, recall: 0.7952, relative_absolute_error: 0.7746, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.5394, kb_relative_information_score: 341.7031, mean_absolute_error: 0.4333, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.9819, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.5394, kb_relative_information_score: 0.2147, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.5394, kb_relative_information_score: 0.2147, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.5394, kb_relative_information_score: 0.2147, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.855, kappa: 0.6725, kb_relative_information_score: 5511.0549, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8556, predictive_accuracy: 0.8546, prior_entropy: 0.9135, recall: 0.8546, relative_absolute_error: 0.6673, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.366, root_relative_squared_error: 0.7793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.5394, kb_relative_information_score: 0.2147, mean_absolute_error: 0.4412, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4508, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4697, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8876, f_measure: 0.8455, kappa: 0.6549, kb_relative_information_score: 6150.6361, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8493, predictive_accuracy: 0.8437, prior_entropy: 0.9135, recall: 0.8437, relative_absolute_error: 0.6225, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.8457, kappa: 0.6555, kb_relative_information_score: 6156.3461, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8497, predictive_accuracy: 0.8439, prior_entropy: 0.9135, recall: 0.8439, relative_absolute_error: 0.6223, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.847, kappa: 0.6594, kb_relative_information_score: 6189.1626, mean_absolute_error: 0.2738, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8521, predictive_accuracy: 0.8449, prior_entropy: 0.9135, recall: 0.8449, relative_absolute_error: 0.6205, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.8458, kappa: 0.6576, kb_relative_information_score: 6120.2608, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.852, predictive_accuracy: 0.8434, prior_entropy: 0.9135, recall: 0.8434, relative_absolute_error: 0.6253, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.7626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.8451, kappa: 0.6563, kb_relative_information_score: 6098.8783, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8515, predictive_accuracy: 0.8427, prior_entropy: 0.9135, recall: 0.8427, relative_absolute_error: 0.6267, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.7632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.8457, kappa: 0.6574, kb_relative_information_score: 6121.2514, mean_absolute_error: 0.2759, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8519, predictive_accuracy: 0.8433, prior_entropy: 0.9135, recall: 0.8433, relative_absolute_error: 0.6252, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.7625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.8459, kappa: 0.6556, kb_relative_information_score: 6149.8911, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8496, predictive_accuracy: 0.8441, prior_entropy: 0.9135, recall: 0.8441, relative_absolute_error: 0.6225, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.8457, kappa: 0.6574, kb_relative_information_score: 6117.5372, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8519, predictive_accuracy: 0.8433, prior_entropy: 0.9135, recall: 0.8433, relative_absolute_error: 0.6255, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.7626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8963, f_measure: 0.846, kappa: 0.658, kb_relative_information_score: 6132.0796, mean_absolute_error: 0.2756, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8521, predictive_accuracy: 0.8437, prior_entropy: 0.9135, recall: 0.8437, relative_absolute_error: 0.6245, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.358, root_relative_squared_error: 0.7622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.8451, kappa: 0.6561, kb_relative_information_score: 6099.3415, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8515, predictive_accuracy: 0.8427, prior_entropy: 0.9135, recall: 0.8427, relative_absolute_error: 0.6266, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.7632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.8451, kappa: 0.6563, kb_relative_information_score: 6100.051, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8515, predictive_accuracy: 0.8427, prior_entropy: 0.9135, recall: 0.8427, relative_absolute_error: 0.6266, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.7632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.8783, kappa: 0.7262, kb_relative_information_score: 9218.1984, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8797, predictive_accuracy: 0.8776, prior_entropy: 0.9135, recall: 0.8776, relative_absolute_error: 0.4271, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.6421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.8452, kappa: 0.6565, kb_relative_information_score: 6096.9514, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8516, predictive_accuracy: 0.8428, prior_entropy: 0.9135, recall: 0.8428, relative_absolute_error: 0.6268, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.7633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.8432, kappa: 0.6472, kb_relative_information_score: 6042.745, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8448, predictive_accuracy: 0.8421, prior_entropy: 0.9135, recall: 0.8421, relative_absolute_error: 0.6286, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.8453, kappa: 0.6545, kb_relative_information_score: 6151.716, mean_absolute_error: 0.2747, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8492, predictive_accuracy: 0.8435, prior_entropy: 0.9135, recall: 0.8435, relative_absolute_error: 0.6225, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8975, f_measure: 0.8451, kappa: 0.6562, kb_relative_information_score: 6098.439, mean_absolute_error: 0.2765, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8515, predictive_accuracy: 0.8427, prior_entropy: 0.9135, recall: 0.8427, relative_absolute_error: 0.6267, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3585, root_relative_squared_error: 0.7633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8973, f_measure: 0.8454, kappa: 0.6567, kb_relative_information_score: 6108.7382, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8516, predictive_accuracy: 0.843, prior_entropy: 0.9135, recall: 0.843, relative_absolute_error: 0.626, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8902, f_measure: 0.8459, kappa: 0.6563, kb_relative_information_score: 6166.9947, mean_absolute_error: 0.2744, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8503, predictive_accuracy: 0.8439, prior_entropy: 0.9135, recall: 0.8439, relative_absolute_error: 0.6218, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.845, kappa: 0.6561, kb_relative_information_score: 6081.0102, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8515, predictive_accuracy: 0.8426, prior_entropy: 0.9135, recall: 0.8426, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8451, kappa: 0.6562, kb_relative_information_score: 6087.2704, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8516, predictive_accuracy: 0.8427, prior_entropy: 0.9135, recall: 0.8427, relative_absolute_error: 0.6274, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8451, kappa: 0.6562, kb_relative_information_score: 6085.1272, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8516, predictive_accuracy: 0.8427, prior_entropy: 0.9135, recall: 0.8427, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8452, kappa: 0.6564, kb_relative_information_score: 6085.7056, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8516, predictive_accuracy: 0.8427, prior_entropy: 0.9135, recall: 0.8427, relative_absolute_error: 0.6275, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7637,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.8597, kappa: 0.6866, kb_relative_information_score: 8110.2884, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8634, predictive_accuracy: 0.8581, prior_entropy: 0.9135, recall: 0.8581, relative_absolute_error: 0.4948, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3261, root_relative_squared_error: 0.6943,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.8024, kappa: 0.5455, kb_relative_information_score: 6578.1693, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8019, predictive_accuracy: 0.8062, prior_entropy: 0.9135, recall: 0.8062, relative_absolute_error: 0.5881, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3599, root_relative_squared_error: 0.7662,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.8449, kappa: 0.6558, kb_relative_information_score: 6082.5845, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8514, predictive_accuracy: 0.8425, prior_entropy: 0.9135, recall: 0.8425, relative_absolute_error: 0.6277, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9197, f_measure: 0.8635, kappa: 0.6929, kb_relative_information_score: 8457.6765, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.865, predictive_accuracy: 0.8626, prior_entropy: 0.9135, recall: 0.8626, relative_absolute_error: 0.4745, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.6873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.8672, kappa: 0.7006, kb_relative_information_score: 8713.7316, mean_absolute_error: 0.2027, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8681, predictive_accuracy: 0.8666, prior_entropy: 0.9135, recall: 0.8666, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3172, root_relative_squared_error: 0.6754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8736, kappa: 0.716, kb_relative_information_score: 8841.8779, mean_absolute_error: 0.1986, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8755, predictive_accuracy: 0.8726, prior_entropy: 0.9135, recall: 0.8726, relative_absolute_error: 0.4501, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3102, root_relative_squared_error: 0.6605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8734, kappa: 0.7156, kb_relative_information_score: 8836.4053, mean_absolute_error: 0.1987, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8753, predictive_accuracy: 0.8724, prior_entropy: 0.9135, recall: 0.8724, relative_absolute_error: 0.4504, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3104, root_relative_squared_error: 0.6607,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.7865, kappa: 0.5068, kb_relative_information_score: 5768.8992, mean_absolute_error: 0.2825, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7868, predictive_accuracy: 0.7923, prior_entropy: 0.9135, recall: 0.7923, relative_absolute_error: 0.6403, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.8522, kappa: 0.6666, kb_relative_information_score: 8119.1091, mean_absolute_error: 0.2191, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8531, predictive_accuracy: 0.8515, prior_entropy: 0.9135, recall: 0.8515, relative_absolute_error: 0.4964, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3311, root_relative_squared_error: 0.7048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.7687, kappa: 0.4649, kb_relative_information_score: 4981.1351, mean_absolute_error: 0.3045, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.769, predictive_accuracy: 0.7759, prior_entropy: 0.9135, recall: 0.7759, relative_absolute_error: 0.69, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3927, root_relative_squared_error: 0.8361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.676, f_measure: 0.6371, kappa: 0.1686, kb_relative_information_score: 1360.8339, mean_absolute_error: 0.4072, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.704, predictive_accuracy: 0.704, prior_entropy: 0.9135, recall: 0.704, relative_absolute_error: 0.9228, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4521, root_relative_squared_error: 0.9626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.8534, kappa: 0.6641, kb_relative_information_score: 7000.5204, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8533, predictive_accuracy: 0.8554, prior_entropy: 0.9135, recall: 0.8554, relative_absolute_error: 0.5837, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.7135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.7619, kappa: 0.4453, kb_relative_information_score: 4754.4804, mean_absolute_error: 0.3126, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7683, predictive_accuracy: 0.7745, prior_entropy: 0.9135, recall: 0.7745, relative_absolute_error: 0.7083, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9118, f_measure: 0.8621, kappa: 0.6876, kb_relative_information_score: 7909.7636, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8621, predictive_accuracy: 0.862, prior_entropy: 0.9135, recall: 0.862, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3255, root_relative_squared_error: 0.6931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7831, kappa: 0.4956, kb_relative_information_score: 5075.8825, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7883, predictive_accuracy: 0.7929, prior_entropy: 0.9135, recall: 0.7929, relative_absolute_error: 0.6927, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.8187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.7668, kappa: 0.4608, kb_relative_information_score: 4954.336, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7668, predictive_accuracy: 0.7738, prior_entropy: 0.9135, recall: 0.7738, relative_absolute_error: 0.6917, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.8379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.8647, kappa: 0.6913, kb_relative_information_score: 7307.9369, mean_absolute_error: 0.2494, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8643, predictive_accuracy: 0.8656, prior_entropy: 0.9135, recall: 0.8656, relative_absolute_error: 0.5652, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3284, root_relative_squared_error: 0.6992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8522, f_measure: 0.7448, kappa: 0.4159, kb_relative_information_score: 5526.5277, mean_absolute_error: 0.2851, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.743, predictive_accuracy: 0.7476, prior_entropy: 0.9135, recall: 0.7476, relative_absolute_error: 0.6462, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3896, root_relative_squared_error: 0.8295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6744, f_measure: 0.6319, kappa: 0.1598, kb_relative_information_score: 1283.4508, mean_absolute_error: 0.4094, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7084, predictive_accuracy: 0.7032, prior_entropy: 0.9135, recall: 0.7032, relative_absolute_error: 0.9277, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.452, root_relative_squared_error: 0.9624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6665, f_measure: 0.6348, kappa: 0.1654, kb_relative_information_score: 1266.5561, mean_absolute_error: 0.4099, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7094, predictive_accuracy: 0.7045, prior_entropy: 0.9135, recall: 0.7045, relative_absolute_error: 0.929, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4526, root_relative_squared_error: 0.9636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.7462, kappa: 0.4197, kb_relative_information_score: 5457.7441, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7445, predictive_accuracy: 0.7487, prior_entropy: 0.9135, recall: 0.7487, relative_absolute_error: 0.6512, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.389, root_relative_squared_error: 0.8282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6717, f_measure: 0.632, kappa: 0.1599, kb_relative_information_score: 1279.0256, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.708, predictive_accuracy: 0.7032, prior_entropy: 0.9135, recall: 0.7032, relative_absolute_error: 0.9281, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4522, root_relative_squared_error: 0.9627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.8451, kappa: 0.6563, kb_relative_information_score: 6080.6511, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8516, predictive_accuracy: 0.8427, prior_entropy: 0.9135, recall: 0.8427, relative_absolute_error: 0.6279, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8617, kappa: 0.6867, kb_relative_information_score: 7933.4795, mean_absolute_error: 0.2263, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8618, predictive_accuracy: 0.8617, prior_entropy: 0.9135, recall: 0.8617, relative_absolute_error: 0.5128, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.6927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6756, f_measure: 0.6349, kappa: 0.165, kb_relative_information_score: 1295.3936, mean_absolute_error: 0.409, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7066, predictive_accuracy: 0.7039, prior_entropy: 0.9135, recall: 0.7039, relative_absolute_error: 0.927, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.8451, kappa: 0.6563, kb_relative_information_score: 6080.8091, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8516, predictive_accuracy: 0.8427, prior_entropy: 0.9135, recall: 0.8427, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.7731, kappa: 0.4739, kb_relative_information_score: 6188.6143, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7748, predictive_accuracy: 0.7813, prior_entropy: 0.9135, recall: 0.7813, relative_absolute_error: 0.6141, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.37, root_relative_squared_error: 0.7878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6759, f_measure: 0.6311, kappa: 0.1581, kb_relative_information_score: 1285.501, mean_absolute_error: 0.4093, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7076, predictive_accuracy: 0.7028, prior_entropy: 0.9135, recall: 0.7028, relative_absolute_error: 0.9276, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.8451, kappa: 0.6563, kb_relative_information_score: 6080.7054, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8516, predictive_accuracy: 0.8427, prior_entropy: 0.9135, recall: 0.8427, relative_absolute_error: 0.6279, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.8451, kappa: 0.6563, kb_relative_information_score: 6081.9276, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8516, predictive_accuracy: 0.8427, prior_entropy: 0.9135, recall: 0.8427, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.7894, kappa: 0.5094, kb_relative_information_score: 5112.3648, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.799, predictive_accuracy: 0.8008, prior_entropy: 0.9135, recall: 0.8008, relative_absolute_error: 0.6953, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.8015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8882, f_measure: 0.8244, kappa: 0.5982, kb_relative_information_score: 6811.553, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8237, predictive_accuracy: 0.8262, prior_entropy: 0.9135, recall: 0.8262, relative_absolute_error: 0.5883, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3647, root_relative_squared_error: 0.7765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, f_measure: 0.8236, kappa: 0.5935, kb_relative_information_score: 6832.4012, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8242, predictive_accuracy: 0.8275, prior_entropy: 0.9135, recall: 0.8275, relative_absolute_error: 0.589, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.8621, kappa: 0.6875, kb_relative_information_score: 7941.3196, mean_absolute_error: 0.2261, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8621, predictive_accuracy: 0.8621, prior_entropy: 0.9135, recall: 0.8621, relative_absolute_error: 0.5124, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3252, root_relative_squared_error: 0.6924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.896, f_measure: 0.8245, kappa: 0.5974, kb_relative_information_score: 6840.4107, mean_absolute_error: 0.2592, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8241, predictive_accuracy: 0.8272, prior_entropy: 0.9135, recall: 0.8272, relative_absolute_error: 0.5875, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9036, f_measure: 0.8189, kappa: 0.5805, kb_relative_information_score: 6749.1314, mean_absolute_error: 0.263, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8222, predictive_accuracy: 0.8249, prior_entropy: 0.9135, recall: 0.8249, relative_absolute_error: 0.5961, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.7668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.809, kappa: 0.5574, kb_relative_information_score: 5562.3204, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8127, predictive_accuracy: 0.8159, prior_entropy: 0.9135, recall: 0.8159, relative_absolute_error: 0.6685, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.7815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8757, f_measure: 0.8107, kappa: 0.5612, kb_relative_information_score: 5568.9388, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8143, predictive_accuracy: 0.8174, prior_entropy: 0.9135, recall: 0.8174, relative_absolute_error: 0.6684, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.7807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.845, kappa: 0.6562, kb_relative_information_score: 6078.88, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8515, predictive_accuracy: 0.8426, prior_entropy: 0.9135, recall: 0.8426, relative_absolute_error: 0.628, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.9044, kappa: 0.7835, kb_relative_information_score: 10399.0874, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9045, predictive_accuracy: 0.9043, prior_entropy: 0.9135, recall: 0.9043, relative_absolute_error: 0.3534, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.5853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6784, f_measure: 0.6307, kappa: 0.1573, kb_relative_information_score: 1292.5103, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7074, predictive_accuracy: 0.7026, prior_entropy: 0.9135, recall: 0.7026, relative_absolute_error: 0.9271, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.8857, kappa: 0.7433, kb_relative_information_score: 9552.3508, mean_absolute_error: 0.179, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8875, predictive_accuracy: 0.8849, prior_entropy: 0.9135, recall: 0.8849, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.6262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.845, kappa: 0.6562, kb_relative_information_score: 6081.4749, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8515, predictive_accuracy: 0.8426, prior_entropy: 0.9135, recall: 0.8426, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8977, f_measure: 0.845, kappa: 0.6562, kb_relative_information_score: 6081.5156, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8515, predictive_accuracy: 0.8426, prior_entropy: 0.9135, recall: 0.8426, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7638,

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