OpenML
Supervised Classification on isolet

Supervised Classification on isolet

Task 3481 Supervised Classification isolet 14672 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_99 under100k
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14672 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9428, kappa: 0.9406, kb_relative_information_score: 0.9422, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9437, predictive_accuracy: 0.9429, prior_entropy: 4.7004, recall: 0.9429, relative_absolute_error: 0.0594, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.3445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9614, kappa: 0.9599, kb_relative_information_score: 0.9674, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9617, predictive_accuracy: 0.9614, prior_entropy: 4.7004, recall: 0.9614, relative_absolute_error: 0.045, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0486, root_relative_squared_error: 0.2526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9459, kappa: 0.944, kb_relative_information_score: 0.9455, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.947, predictive_accuracy: 0.9461, prior_entropy: 4.7004, recall: 0.9461, relative_absolute_error: 0.056, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0644, root_relative_squared_error: 0.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9313, kappa: 0.9286, kb_relative_information_score: 0.9306, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9338, predictive_accuracy: 0.9314, prior_entropy: 4.7004, recall: 0.9314, relative_absolute_error: 0.0714, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.3778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9442, kappa: 0.9421, kb_relative_information_score: 0.9437, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9454, predictive_accuracy: 0.9443, prior_entropy: 4.7004, recall: 0.9443, relative_absolute_error: 0.0579, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0654, root_relative_squared_error: 0.3403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.946, kappa: 0.944, kb_relative_information_score: 0.9455, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9469, predictive_accuracy: 0.9461, prior_entropy: 4.7004, recall: 0.9461, relative_absolute_error: 0.056, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0644, root_relative_squared_error: 0.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.9132, kappa: 0.9097, kb_relative_information_score: 0.9121, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9153, predictive_accuracy: 0.9132, prior_entropy: 4.7004, recall: 0.9132, relative_absolute_error: 0.0903, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9645, f_measure: 0.9317, kappa: 0.929, kb_relative_information_score: 0.9309, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9338, predictive_accuracy: 0.9318, prior_entropy: 4.7004, recall: 0.9318, relative_absolute_error: 0.071, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.3767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9563, kappa: 0.9545, kb_relative_information_score: 0.9626, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9565, predictive_accuracy: 0.9563, prior_entropy: 4.7004, recall: 0.9563, relative_absolute_error: 0.0503, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0513, root_relative_squared_error: 0.2669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9563, kappa: 0.9545, kb_relative_information_score: 0.9626, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9565, predictive_accuracy: 0.9563, prior_entropy: 4.7004, recall: 0.9563, relative_absolute_error: 0.0503, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0513, root_relative_squared_error: 0.2669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.9167, kappa: 0.9136, kb_relative_information_score: 0.9159, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9196, predictive_accuracy: 0.9169, prior_entropy: 4.7004, recall: 0.9169, relative_absolute_error: 0.0864, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.08, root_relative_squared_error: 0.4158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9197, kappa: 0.9166, kb_relative_information_score: 0.9189, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9221, predictive_accuracy: 0.9198, prior_entropy: 4.7004, recall: 0.9198, relative_absolute_error: 0.0834, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.4083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9309, kappa: 0.9281, kb_relative_information_score: 0.93, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9332, predictive_accuracy: 0.9309, prior_entropy: 4.7004, recall: 0.9309, relative_absolute_error: 0.0719, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0729, root_relative_squared_error: 0.3792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9436, kappa: 0.9414, kb_relative_information_score: 0.943, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9449, predictive_accuracy: 0.9437, prior_entropy: 4.7004, recall: 0.9437, relative_absolute_error: 0.0586, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0658, root_relative_squared_error: 0.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9452, kappa: 0.9432, kb_relative_information_score: 0.9447, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.946, predictive_accuracy: 0.9454, prior_entropy: 4.7004, recall: 0.9454, relative_absolute_error: 0.0568, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.3371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.898, kappa: 0.8942, kb_relative_information_score: 0.8971, mean_absolute_error: 0.0078, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8996, predictive_accuracy: 0.8983, prior_entropy: 4.7004, recall: 0.8983, relative_absolute_error: 0.1058, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.4599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9199, kappa: 0.9169, kb_relative_information_score: 0.9191, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9228, predictive_accuracy: 0.9201, prior_entropy: 4.7004, recall: 0.9201, relative_absolute_error: 0.0831, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0784, root_relative_squared_error: 0.4077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9453, kappa: 0.9432, kb_relative_information_score: 0.9447, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9461, predictive_accuracy: 0.9454, prior_entropy: 4.7004, recall: 0.9454, relative_absolute_error: 0.0568, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.3371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9089, kappa: 0.9052, kb_relative_information_score: 0.9132, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9094, predictive_accuracy: 0.9088, prior_entropy: 4.7004, recall: 0.9088, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.3947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9688, f_measure: 0.8514, kappa: 0.845, kb_relative_information_score: 0.8535, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8523, predictive_accuracy: 0.851, prior_entropy: 4.7004, recall: 0.851, relative_absolute_error: 0.1557, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1053, root_relative_squared_error: 0.5475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9461, kappa: 0.9441, kb_relative_information_score: 0.9456, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9469, predictive_accuracy: 0.9463, prior_entropy: 4.7004, recall: 0.9463, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0643, root_relative_squared_error: 0.3343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9089, kappa: 0.9052, kb_relative_information_score: 0.9132, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9094, predictive_accuracy: 0.9088, prior_entropy: 4.7004, recall: 0.9088, relative_absolute_error: 0.1216, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0759, root_relative_squared_error: 0.3947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9457, kappa: 0.9436, kb_relative_information_score: 0.9451, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9469, predictive_accuracy: 0.9457, prior_entropy: 4.7004, recall: 0.9457, relative_absolute_error: 0.0564, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0646, root_relative_squared_error: 0.3359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9481, kappa: 0.946, kb_relative_information_score: 0.942, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9485, predictive_accuracy: 0.9481, prior_entropy: 4.7004, recall: 0.9481, relative_absolute_error: 0.1082, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0563, root_relative_squared_error: 0.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9192, kappa: 0.916, kb_relative_information_score: 0.9182, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9215, predictive_accuracy: 0.9192, prior_entropy: 4.7004, recall: 0.9192, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0788, root_relative_squared_error: 0.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9481, kappa: 0.946, kb_relative_information_score: 0.942, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9485, predictive_accuracy: 0.9481, prior_entropy: 4.7004, recall: 0.9481, relative_absolute_error: 0.1082, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0563, root_relative_squared_error: 0.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.9177, kappa: 0.9145, kb_relative_information_score: 0.9168, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9206, predictive_accuracy: 0.9178, prior_entropy: 4.7004, recall: 0.9178, relative_absolute_error: 0.0855, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.4135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9199, kappa: 0.9169, kb_relative_information_score: 0.9191, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9222, predictive_accuracy: 0.9201, prior_entropy: 4.7004, recall: 0.9201, relative_absolute_error: 0.0831, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0784, root_relative_squared_error: 0.4077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9454, kappa: 0.9433, kb_relative_information_score: 0.9448, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9462, predictive_accuracy: 0.9455, prior_entropy: 4.7004, recall: 0.9455, relative_absolute_error: 0.0567, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.3367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.9443, kappa: 0.9422, kb_relative_information_score: 0.9438, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9451, predictive_accuracy: 0.9445, prior_entropy: 4.7004, recall: 0.9445, relative_absolute_error: 0.0578, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0654, root_relative_squared_error: 0.3399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.9143, kappa: 0.9108, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9164, predictive_accuracy: 0.9142, prior_entropy: 4.7004, recall: 0.9142, relative_absolute_error: 0.0892, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.4225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9459, kappa: 0.9438, kb_relative_information_score: 0.9454, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9469, predictive_accuracy: 0.946, prior_entropy: 4.7004, recall: 0.946, relative_absolute_error: 0.0562, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0644, root_relative_squared_error: 0.3351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.9251, kappa: 0.9222, kb_relative_information_score: 0.9243, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9272, predictive_accuracy: 0.9252, prior_entropy: 4.7004, recall: 0.9252, relative_absolute_error: 0.0778, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0758, root_relative_squared_error: 0.3944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.8994, kappa: 0.8966, kb_relative_information_score: 0.8994, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9063, predictive_accuracy: 0.9006, prior_entropy: 4.7004, recall: 0.9006, relative_absolute_error: 0.1034, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9495, kappa: 0.9474, kb_relative_information_score: 0.9512, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9499, predictive_accuracy: 0.9495, prior_entropy: 4.7004, recall: 0.9495, relative_absolute_error: 0.0788, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0548, root_relative_squared_error: 0.2849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9495, kappa: 0.9474, kb_relative_information_score: 0.9512, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9499, predictive_accuracy: 0.9495, prior_entropy: 4.7004, recall: 0.9495, relative_absolute_error: 0.0788, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0548, root_relative_squared_error: 0.2849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9201, kappa: 0.9172, kb_relative_information_score: 0.9194, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9225, predictive_accuracy: 0.9204, prior_entropy: 4.7004, recall: 0.9204, relative_absolute_error: 0.0828, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0783, root_relative_squared_error: 0.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9464, kappa: 0.9444, kb_relative_information_score: 0.9459, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9473, predictive_accuracy: 0.9465, prior_entropy: 4.7004, recall: 0.9465, relative_absolute_error: 0.0556, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.3335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9186, kappa: 0.9156, kb_relative_information_score: 0.9178, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9213, predictive_accuracy: 0.9188, prior_entropy: 4.7004, recall: 0.9188, relative_absolute_error: 0.0844, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.079, root_relative_squared_error: 0.4109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.9176, kappa: 0.9144, kb_relative_information_score: 0.9167, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9196, predictive_accuracy: 0.9177, prior_entropy: 4.7004, recall: 0.9177, relative_absolute_error: 0.0856, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0796, root_relative_squared_error: 0.4138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.9163, kappa: 0.9133, kb_relative_information_score: 0.9156, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9198, predictive_accuracy: 0.9166, prior_entropy: 4.7004, recall: 0.9166, relative_absolute_error: 0.0867, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0801, root_relative_squared_error: 0.4164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9195, kappa: 0.9164, kb_relative_information_score: 0.9186, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9215, predictive_accuracy: 0.9196, prior_entropy: 4.7004, recall: 0.9196, relative_absolute_error: 0.0836, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9191, kappa: 0.916, kb_relative_information_score: 0.9182, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9214, predictive_accuracy: 0.9192, prior_entropy: 4.7004, recall: 0.9192, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0788, root_relative_squared_error: 0.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.9162, kappa: 0.9132, kb_relative_information_score: 0.9155, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9191, predictive_accuracy: 0.9165, prior_entropy: 4.7004, recall: 0.9165, relative_absolute_error: 0.0868, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0801, root_relative_squared_error: 0.4167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.9183, kappa: 0.9152, kb_relative_information_score: 0.9174, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9207, predictive_accuracy: 0.9184, prior_entropy: 4.7004, recall: 0.9184, relative_absolute_error: 0.0848, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0792, root_relative_squared_error: 0.4119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.9171, kappa: 0.9138, kb_relative_information_score: 0.9161, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9198, predictive_accuracy: 0.9171, prior_entropy: 4.7004, recall: 0.9171, relative_absolute_error: 0.0862, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0798, root_relative_squared_error: 0.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9458, kappa: 0.9438, kb_relative_information_score: 0.9454, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9465, predictive_accuracy: 0.946, prior_entropy: 4.7004, recall: 0.946, relative_absolute_error: 0.0562, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0644, root_relative_squared_error: 0.3351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9458, kappa: 0.9438, kb_relative_information_score: 0.9454, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9468, predictive_accuracy: 0.946, prior_entropy: 4.7004, recall: 0.946, relative_absolute_error: 0.0562, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0644, root_relative_squared_error: 0.3351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9435, kappa: 0.9414, kb_relative_information_score: 0.943, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9445, predictive_accuracy: 0.9437, prior_entropy: 4.7004, recall: 0.9437, relative_absolute_error: 0.0586, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0658, root_relative_squared_error: 0.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.943, kappa: 0.9409, kb_relative_information_score: 0.9425, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9445, predictive_accuracy: 0.9432, prior_entropy: 4.7004, recall: 0.9432, relative_absolute_error: 0.0591, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0661, root_relative_squared_error: 0.3438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9456, kappa: 0.9436, kb_relative_information_score: 0.9451, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9465, predictive_accuracy: 0.9457, prior_entropy: 4.7004, recall: 0.9457, relative_absolute_error: 0.0564, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0646, root_relative_squared_error: 0.3359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.9082, kappa: 0.905, kb_relative_information_score: 0.9076, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9116, predictive_accuracy: 0.9087, prior_entropy: 4.7004, recall: 0.9087, relative_absolute_error: 0.095, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0838, root_relative_squared_error: 0.4358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.9179, kappa: 0.9148, kb_relative_information_score: 0.9171, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9201, predictive_accuracy: 0.918, prior_entropy: 4.7004, recall: 0.918, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0794, root_relative_squared_error: 0.4129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9311, kappa: 0.9284, kb_relative_information_score: 0.9303, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9334, predictive_accuracy: 0.9311, prior_entropy: 4.7004, recall: 0.9311, relative_absolute_error: 0.0716, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0728, root_relative_squared_error: 0.3785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.949, f_measure: 0.9023, kappa: 0.898, kb_relative_information_score: 0.9007, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9108, predictive_accuracy: 0.9019, prior_entropy: 4.7004, recall: 0.9019, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0869, root_relative_squared_error: 0.4518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9621, kappa: 0.9605, kb_relative_information_score: 0.9671, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9623, predictive_accuracy: 0.962, prior_entropy: 4.7004, recall: 0.962, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0471, root_relative_squared_error: 0.2451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9581, kappa: 0.9564, kb_relative_information_score: 0.9625, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9583, predictive_accuracy: 0.9581, prior_entropy: 4.7004, recall: 0.9581, relative_absolute_error: 0.0666, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0497, root_relative_squared_error: 0.2587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.9155, kappa: 0.9122, kb_relative_information_score: 0.9146, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.919, predictive_accuracy: 0.9156, prior_entropy: 4.7004, recall: 0.9156, relative_absolute_error: 0.0878, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9191, kappa: 0.9158, kb_relative_information_score: 0.9181, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9217, predictive_accuracy: 0.9191, prior_entropy: 4.7004, recall: 0.9191, relative_absolute_error: 0.0842, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0789, root_relative_squared_error: 0.4103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9465, kappa: 0.9445, kb_relative_information_score: 0.946, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.947, predictive_accuracy: 0.9466, prior_entropy: 4.7004, recall: 0.9466, relative_absolute_error: 0.0555, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.3331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9621, kappa: 0.9605, kb_relative_information_score: 0.9671, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9623, predictive_accuracy: 0.962, prior_entropy: 4.7004, recall: 0.962, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0471, root_relative_squared_error: 0.2451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9469, kappa: 0.9449, kb_relative_information_score: 0.9464, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9475, predictive_accuracy: 0.947, prior_entropy: 4.7004, recall: 0.947, relative_absolute_error: 0.0551, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0638, root_relative_squared_error: 0.3319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.9139, kappa: 0.9108, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9161, predictive_accuracy: 0.9142, prior_entropy: 4.7004, recall: 0.9142, relative_absolute_error: 0.0892, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0812, root_relative_squared_error: 0.4225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9628, kappa: 0.9613, kb_relative_information_score: 0.9695, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.963, predictive_accuracy: 0.9628, prior_entropy: 4.7004, recall: 0.9628, relative_absolute_error: 0.0475, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0467, root_relative_squared_error: 0.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9457, kappa: 0.9437, kb_relative_information_score: 0.9452, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9466, predictive_accuracy: 0.9459, prior_entropy: 4.7004, recall: 0.9459, relative_absolute_error: 0.0563, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0645, root_relative_squared_error: 0.3355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9191, kappa: 0.916, kb_relative_information_score: 0.9182, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9212, predictive_accuracy: 0.9192, prior_entropy: 4.7004, recall: 0.9192, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0788, root_relative_squared_error: 0.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.9204, kappa: 0.9173, kb_relative_information_score: 0.9195, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9223, predictive_accuracy: 0.9205, prior_entropy: 4.7004, recall: 0.9205, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.4067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9451, kappa: 0.943, kb_relative_information_score: 0.9446, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9463, predictive_accuracy: 0.9452, prior_entropy: 4.7004, recall: 0.9452, relative_absolute_error: 0.057, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.3375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9458, kappa: 0.9438, kb_relative_information_score: 0.9454, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9467, predictive_accuracy: 0.946, prior_entropy: 4.7004, recall: 0.946, relative_absolute_error: 0.0562, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0644, root_relative_squared_error: 0.3351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9628, kappa: 0.9613, kb_relative_information_score: 0.9695, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.963, predictive_accuracy: 0.9628, prior_entropy: 4.7004, recall: 0.9628, relative_absolute_error: 0.0475, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0467, root_relative_squared_error: 0.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9203, kappa: 0.9172, kb_relative_information_score: 0.9194, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.923, predictive_accuracy: 0.9204, prior_entropy: 4.7004, recall: 0.9204, relative_absolute_error: 0.0828, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0783, root_relative_squared_error: 0.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9601, kappa: 0.9585, kb_relative_information_score: 0.9667, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9603, predictive_accuracy: 0.9601, prior_entropy: 4.7004, recall: 0.9601, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0481, root_relative_squared_error: 0.2501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.9422, kappa: 0.94, kb_relative_information_score: 0.9416, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9439, predictive_accuracy: 0.9423, prior_entropy: 4.7004, recall: 0.9423, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0666, root_relative_squared_error: 0.3465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9462, kappa: 0.9442, kb_relative_information_score: 0.9457, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9469, predictive_accuracy: 0.9464, prior_entropy: 4.7004, recall: 0.9464, relative_absolute_error: 0.0558, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0642, root_relative_squared_error: 0.3339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9601, kappa: 0.9585, kb_relative_information_score: 0.9667, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9603, predictive_accuracy: 0.9601, prior_entropy: 4.7004, recall: 0.9601, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0481, root_relative_squared_error: 0.2501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9456, kappa: 0.9436, kb_relative_information_score: 0.9451, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9463, predictive_accuracy: 0.9457, prior_entropy: 4.7004, recall: 0.9457, relative_absolute_error: 0.0564, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0646, root_relative_squared_error: 0.3359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9458, kappa: 0.9438, kb_relative_information_score: 0.9454, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9467, predictive_accuracy: 0.946, prior_entropy: 4.7004, recall: 0.946, relative_absolute_error: 0.0562, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0644, root_relative_squared_error: 0.3351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.9467, kappa: 0.9446, kb_relative_information_score: 0.9461, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9476, predictive_accuracy: 0.9468, prior_entropy: 4.7004, recall: 0.9468, relative_absolute_error: 0.0554, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.064, root_relative_squared_error: 0.3327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9445, kappa: 0.9424, kb_relative_information_score: 0.9439, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9452, predictive_accuracy: 0.9446, prior_entropy: 4.7004, recall: 0.9446, relative_absolute_error: 0.0576, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0653, root_relative_squared_error: 0.3395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.957, kappa: 0.9553, kb_relative_information_score: 0.9628, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9572, predictive_accuracy: 0.957, prior_entropy: 4.7004, recall: 0.957, relative_absolute_error: 0.0508, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.9199, kappa: 0.9168, kb_relative_information_score: 0.919, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9223, predictive_accuracy: 0.92, prior_entropy: 4.7004, recall: 0.92, relative_absolute_error: 0.0832, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9447, kappa: 0.9426, kb_relative_information_score: 0.9442, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9456, predictive_accuracy: 0.9449, prior_entropy: 4.7004, recall: 0.9449, relative_absolute_error: 0.0574, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0651, root_relative_squared_error: 0.3387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9431, kappa: 0.941, kb_relative_information_score: 0.9426, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.944, predictive_accuracy: 0.9433, prior_entropy: 4.7004, recall: 0.9433, relative_absolute_error: 0.059, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.066, root_relative_squared_error: 0.3434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.957, kappa: 0.9553, kb_relative_information_score: 0.9628, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9572, predictive_accuracy: 0.957, prior_entropy: 4.7004, recall: 0.957, relative_absolute_error: 0.0508, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.9452, kappa: 0.9432, kb_relative_information_score: 0.9447, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9459, predictive_accuracy: 0.9454, prior_entropy: 4.7004, recall: 0.9454, relative_absolute_error: 0.0568, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0648, root_relative_squared_error: 0.3371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9595, kappa: 0.9579, kb_relative_information_score: 0.9652, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9597, predictive_accuracy: 0.9595, prior_entropy: 4.7004, recall: 0.9595, relative_absolute_error: 0.0487, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0495, root_relative_squared_error: 0.2572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.9189, kappa: 0.9158, kb_relative_information_score: 0.9181, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9209, predictive_accuracy: 0.9191, prior_entropy: 4.7004, recall: 0.9191, relative_absolute_error: 0.0842, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0789, root_relative_squared_error: 0.4103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9449, kappa: 0.9429, kb_relative_information_score: 0.9444, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9458, predictive_accuracy: 0.9451, prior_entropy: 4.7004, recall: 0.9451, relative_absolute_error: 0.0571, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.065, root_relative_squared_error: 0.3379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9461, kappa: 0.9441, kb_relative_information_score: 0.9456, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9469, predictive_accuracy: 0.9463, prior_entropy: 4.7004, recall: 0.9463, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0643, root_relative_squared_error: 0.3343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.9174, kappa: 0.9144, kb_relative_information_score: 0.9167, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9197, predictive_accuracy: 0.9177, prior_entropy: 4.7004, recall: 0.9177, relative_absolute_error: 0.0856, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0796, root_relative_squared_error: 0.4138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9595, kappa: 0.9579, kb_relative_information_score: 0.9652, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9597, predictive_accuracy: 0.9595, prior_entropy: 4.7004, recall: 0.9595, relative_absolute_error: 0.0487, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0495, root_relative_squared_error: 0.2572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9462, kappa: 0.9441, kb_relative_information_score: 0.9456, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9471, predictive_accuracy: 0.9463, prior_entropy: 4.7004, recall: 0.9463, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0643, root_relative_squared_error: 0.3343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9451, kappa: 0.943, kb_relative_information_score: 0.9446, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9459, predictive_accuracy: 0.9452, prior_entropy: 4.7004, recall: 0.9452, relative_absolute_error: 0.057, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.3375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9461, kappa: 0.9441, kb_relative_information_score: 0.9456, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9471, predictive_accuracy: 0.9463, prior_entropy: 4.7004, recall: 0.9463, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0643, root_relative_squared_error: 0.3343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.8405, kappa: 0.8337, kb_relative_information_score: 0.8382, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8413, predictive_accuracy: 0.8401, prior_entropy: 4.7004, recall: 0.8401, relative_absolute_error: 0.1664, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.5766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9435, kappa: 0.9414, kb_relative_information_score: 0.943, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9451, predictive_accuracy: 0.9437, prior_entropy: 4.7004, recall: 0.9437, relative_absolute_error: 0.0586, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0658, root_relative_squared_error: 0.3422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.92, kappa: 0.9169, kb_relative_information_score: 0.9191, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9224, predictive_accuracy: 0.9201, prior_entropy: 4.7004, recall: 0.9201, relative_absolute_error: 0.0831, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0784, root_relative_squared_error: 0.4077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9119, kappa: 0.9088, kb_relative_information_score: 0.9112, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9151, predictive_accuracy: 0.9123, prior_entropy: 4.7004, recall: 0.9123, relative_absolute_error: 0.0912, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0821, root_relative_squared_error: 0.4272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.8405, kappa: 0.8337, kb_relative_information_score: 0.8382, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8413, predictive_accuracy: 0.8401, prior_entropy: 4.7004, recall: 0.8401, relative_absolute_error: 0.1664, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1109, root_relative_squared_error: 0.5766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.9432, kappa: 0.9412, kb_relative_information_score: 0.9428, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9444, predictive_accuracy: 0.9434, prior_entropy: 4.7004, recall: 0.9434, relative_absolute_error: 0.0588, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.066, root_relative_squared_error: 0.343,

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

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

OpenML APIs