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: 0.9725, f_measure: 0.947, 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: 0.9482, 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: 0.9721, 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: 0.9709, f_measure: 0.9437, kappa: 0.9417, kb_relative_information_score: 0.9433, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9449, predictive_accuracy: 0.944, prior_entropy: 4.7004, recall: 0.944, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0657, root_relative_squared_error: 0.3414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.946, kappa: 0.9438, kb_relative_information_score: 0.9513, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9463, predictive_accuracy: 0.946, prior_entropy: 4.7004, recall: 0.946, relative_absolute_error: 0.0643, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0584, root_relative_squared_error: 0.3038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9446, kappa: 0.9425, kb_relative_information_score: 0.9441, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9458, predictive_accuracy: 0.9447, prior_entropy: 4.7004, recall: 0.9447, relative_absolute_error: 0.0575, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0652, root_relative_squared_error: 0.3391,
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: 0.9709, f_measure: 0.9437, kappa: 0.9417, kb_relative_information_score: 0.9433, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9444, predictive_accuracy: 0.944, prior_entropy: 4.7004, recall: 0.944, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0657, root_relative_squared_error: 0.3414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9699, f_measure: 0.942, kappa: 0.9398, kb_relative_information_score: 0.9415, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9429, predictive_accuracy: 0.9422, prior_entropy: 4.7004, recall: 0.9422, relative_absolute_error: 0.0602, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0667, root_relative_squared_error: 0.3469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.9429, kappa: 0.9408, kb_relative_information_score: 0.9424, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9446, predictive_accuracy: 0.9431, prior_entropy: 4.7004, recall: 0.9431, relative_absolute_error: 0.0592, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0662, root_relative_squared_error: 0.3442,
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: 0.9479, 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: 0.9584, f_measure: 0.9197, 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: 0.9228, 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: 0.9559, f_measure: 0.915, kappa: 0.9117, kb_relative_information_score: 0.9141, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9179, predictive_accuracy: 0.9151, prior_entropy: 4.7004, recall: 0.9151, relative_absolute_error: 0.0883, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0808, root_relative_squared_error: 0.4202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.9053, kappa: 0.9018, kb_relative_information_score: 0.9045, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9091, predictive_accuracy: 0.9056, prior_entropy: 4.7004, recall: 0.9056, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.4431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.9085, kappa: 0.9048, kb_relative_information_score: 0.9073, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9105, predictive_accuracy: 0.9084, prior_entropy: 4.7004, recall: 0.9084, relative_absolute_error: 0.0952, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0839, root_relative_squared_error: 0.4364,
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: 0.9645, f_measure: 0.9318, 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: 0.9341, 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: 0.9445, f_measure: 0.8932, kappa: 0.889, kb_relative_information_score: 0.892, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9023, predictive_accuracy: 0.8933, prior_entropy: 4.7004, recall: 0.8933, relative_absolute_error: 0.111, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.9139, kappa: 0.9106, kb_relative_information_score: 0.913, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9167, predictive_accuracy: 0.9141, prior_entropy: 4.7004, recall: 0.9141, relative_absolute_error: 0.0894, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0813, root_relative_squared_error: 0.4228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9455, kappa: 0.9434, kb_relative_information_score: 0.945, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9466, predictive_accuracy: 0.9456, prior_entropy: 4.7004, recall: 0.9456, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0647, root_relative_squared_error: 0.3363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.919, kappa: 0.9157, kb_relative_information_score: 0.918, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9212, predictive_accuracy: 0.9189, prior_entropy: 4.7004, recall: 0.9189, relative_absolute_error: 0.0843, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.079, root_relative_squared_error: 0.4106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9207, kappa: 0.9177, kb_relative_information_score: 0.9199, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9235, predictive_accuracy: 0.9209, prior_entropy: 4.7004, recall: 0.9209, relative_absolute_error: 0.0823, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.078, root_relative_squared_error: 0.4057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9454, kappa: 0.9434, kb_relative_information_score: 0.945, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9463, predictive_accuracy: 0.9456, prior_entropy: 4.7004, recall: 0.9456, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0647, root_relative_squared_error: 0.3363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.9461, 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: 0.9474, 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: 0.9561, 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: 0.9176, 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: 0.9713, 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: 0.9458, 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: 0.9721, 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: 0.9716, 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: 0.9717, f_measure: 0.9455, kappa: 0.9434, kb_relative_information_score: 0.945, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9468, predictive_accuracy: 0.9456, prior_entropy: 4.7004, recall: 0.9456, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0647, root_relative_squared_error: 0.3363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9267, kappa: 0.9238, kb_relative_information_score: 0.9259, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9291, predictive_accuracy: 0.9268, prior_entropy: 4.7004, recall: 0.9268, relative_absolute_error: 0.0762, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0751, root_relative_squared_error: 0.3903,
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: 0.947, 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: 0.9209, 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: 0.9599, f_measure: 0.9228, kappa: 0.9198, kb_relative_information_score: 0.922, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9248, predictive_accuracy: 0.9229, prior_entropy: 4.7004, recall: 0.9229, relative_absolute_error: 0.0802, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.077, root_relative_squared_error: 0.4004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9195, kappa: 0.9165, kb_relative_information_score: 0.9187, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9219, predictive_accuracy: 0.9197, prior_entropy: 4.7004, recall: 0.9197, relative_absolute_error: 0.0835, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.4087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9188, 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: 0.9214, 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: 0.9715, 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: 0.946, 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: 0.9571, f_measure: 0.9173, kappa: 0.9141, kb_relative_information_score: 0.9164, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.92, predictive_accuracy: 0.9174, prior_entropy: 4.7004, recall: 0.9174, relative_absolute_error: 0.0859, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0797, root_relative_squared_error: 0.4145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.9214, kappa: 0.9185, kb_relative_information_score: 0.9207, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9238, predictive_accuracy: 0.9216, prior_entropy: 4.7004, recall: 0.9216, relative_absolute_error: 0.0815, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0776, root_relative_squared_error: 0.4037,
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: 0.9473, 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: 0.9717, 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: 0.9466, 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: 0.9714, f_measure: 0.9448, kappa: 0.9428, kb_relative_information_score: 0.9443, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9458, predictive_accuracy: 0.945, prior_entropy: 4.7004, recall: 0.945, relative_absolute_error: 0.0572, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0651, root_relative_squared_error: 0.3383,
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: 0.947, 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: 0.9461, 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: 0.9715, f_measure: 0.945, 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: 0.946, 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: 0.973, f_measure: 0.9479, kappa: 0.946, kb_relative_information_score: 0.9474, mean_absolute_error: 0.004, 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: 0.054, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.3287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9446, 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: 0.9562, f_measure: 0.9156, kappa: 0.9124, kb_relative_information_score: 0.9147, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9179, predictive_accuracy: 0.9157, prior_entropy: 4.7004, recall: 0.9157, relative_absolute_error: 0.0876, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0805, root_relative_squared_error: 0.4186,
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: 0.9473, 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: 0.9708, f_measure: 0.9436, kappa: 0.9416, kb_relative_information_score: 0.9431, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9446, predictive_accuracy: 0.9438, prior_entropy: 4.7004, recall: 0.9438, relative_absolute_error: 0.0584, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0657, root_relative_squared_error: 0.3418,
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: 0.9464, 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: 0.9723, 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: 0.9472, 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: 0.9714, f_measure: 0.9448, kappa: 0.9428, kb_relative_information_score: 0.9443, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9459, predictive_accuracy: 0.945, prior_entropy: 4.7004, recall: 0.945, relative_absolute_error: 0.0572, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0651, root_relative_squared_error: 0.3383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9453, 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: 0.9713, f_measure: 0.9445, kappa: 0.9425, kb_relative_information_score: 0.9441, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9453, predictive_accuracy: 0.9447, prior_entropy: 4.7004, recall: 0.9447, relative_absolute_error: 0.0575, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0652, root_relative_squared_error: 0.3391,
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: 0.9457, 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: 0.9562, f_measure: 0.9156, kappa: 0.9124, kb_relative_information_score: 0.9147, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9184, predictive_accuracy: 0.9157, prior_entropy: 4.7004, recall: 0.9157, relative_absolute_error: 0.0876, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0805, root_relative_squared_error: 0.4186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.9222, kappa: 0.9192, kb_relative_information_score: 0.9213, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9245, predictive_accuracy: 0.9223, prior_entropy: 4.7004, recall: 0.9223, relative_absolute_error: 0.0808, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0773, root_relative_squared_error: 0.4021,
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: 0.9465, 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: 0.9715, f_measure: 0.9452, 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: 0.947, 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: 0.9566, f_measure: 0.9165, 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: 0.9193, 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: 0.9721, 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: 0.96, f_measure: 0.9231, kappa: 0.92, kb_relative_information_score: 0.9221, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9253, predictive_accuracy: 0.923, prior_entropy: 4.7004, recall: 0.923, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.4001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9446, kappa: 0.9425, kb_relative_information_score: 0.9441, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9452, predictive_accuracy: 0.9447, prior_entropy: 4.7004, recall: 0.9447, relative_absolute_error: 0.0575, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0652, root_relative_squared_error: 0.3391,
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: 0.9464, 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: 0.971, f_measure: 0.9441, kappa: 0.942, kb_relative_information_score: 0.9435, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9454, predictive_accuracy: 0.9442, prior_entropy: 4.7004, recall: 0.9442, relative_absolute_error: 0.058, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0655, root_relative_squared_error: 0.3407,
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: 0.9466, 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: 0.9711, f_measure: 0.9444, 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: 0.9458, 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: 0.9717, f_measure: 0.9455, kappa: 0.9434, kb_relative_information_score: 0.945, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9464, predictive_accuracy: 0.9456, prior_entropy: 4.7004, recall: 0.9456, relative_absolute_error: 0.0566, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0647, root_relative_squared_error: 0.3363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0269, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9649, kappa: 0.9635, kb_relative_information_score: 0.9708, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9651, predictive_accuracy: 0.9649, prior_entropy: 4.7004, recall: 0.9649, relative_absolute_error: 0.0402, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.2406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9502, kappa: 0.9482, kb_relative_information_score: 0.9533, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9504, predictive_accuracy: 0.9502, prior_entropy: 4.7004, recall: 0.9502, relative_absolute_error: 0.0806, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0546, root_relative_squared_error: 0.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0, kb_relative_information_score: 0.0269, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9646, kappa: 0.9632, kb_relative_information_score: 0.9708, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9649, predictive_accuracy: 0.9646, prior_entropy: 4.7004, recall: 0.9646, relative_absolute_error: 0.0411, 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: 0.9994, f_measure: 0.9657, kappa: 0.9643, kb_relative_information_score: 0.9709, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9658, predictive_accuracy: 0.9656, prior_entropy: 4.7004, recall: 0.9656, relative_absolute_error: 0.0396, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.2406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.957, kappa: 0.9553, kb_relative_information_score: 0.9611, mean_absolute_error: 0.0049, 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: 0.0656, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0502, root_relative_squared_error: 0.2609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9517, kappa: 0.9497, kb_relative_information_score: 0.9535, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9519, predictive_accuracy: 0.9516, prior_entropy: 4.7004, recall: 0.9516, relative_absolute_error: 0.0843, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0536, root_relative_squared_error: 0.2787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9586, kappa: 0.9569, kb_relative_information_score: 0.9649, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9588, predictive_accuracy: 0.9586, prior_entropy: 4.7004, recall: 0.9586, relative_absolute_error: 0.0476, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0502, root_relative_squared_error: 0.2611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9612, kappa: 0.9596, kb_relative_information_score: 0.9663, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9614, predictive_accuracy: 0.9611, prior_entropy: 4.7004, recall: 0.9611, relative_absolute_error: 0.046, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0493, root_relative_squared_error: 0.2566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9116, kappa: 0.9078, kb_relative_information_score: 0.9227, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9122, predictive_accuracy: 0.9114, prior_entropy: 4.7004, recall: 0.9114, relative_absolute_error: 0.1026, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.3874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9317, kappa: 0.9292, kb_relative_information_score: 0.9415, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9322, predictive_accuracy: 0.9319, prior_entropy: 4.7004, recall: 0.9319, relative_absolute_error: 0.0785, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0652, root_relative_squared_error: 0.3393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9588, kappa: 0.9572, kb_relative_information_score: 0.9647, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.959, predictive_accuracy: 0.9588, prior_entropy: 4.7004, recall: 0.9588, relative_absolute_error: 0.0479, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0501, root_relative_squared_error: 0.2603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9645, kappa: 0.9631, kb_relative_information_score: 0.9698, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9647, predictive_accuracy: 0.9645, prior_entropy: 4.7004, recall: 0.9645, relative_absolute_error: 0.0405, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0469, root_relative_squared_error: 0.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9333, kappa: 0.9306, kb_relative_information_score: 0.9193, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9337, predictive_accuracy: 0.9333, prior_entropy: 4.7004, recall: 0.9333, relative_absolute_error: 0.1716, 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: 0.9984, f_measure: 0.9346, kappa: 0.9322, kb_relative_information_score: 0.9457, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9352, predictive_accuracy: 0.9348, prior_entropy: 4.7004, recall: 0.9348, relative_absolute_error: 0.0755, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0633, root_relative_squared_error: 0.3289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.95, kappa: 0.948, kb_relative_information_score: 0.9451, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9502, predictive_accuracy: 0.95, prior_entropy: 4.7004, recall: 0.95, relative_absolute_error: 0.1124, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0555, root_relative_squared_error: 0.2887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kappa: -0.0001, kb_relative_information_score: 0.0268, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0383, prior_entropy: 4.7004, recall: 0.0383, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9623, kappa: 0.9608, kb_relative_information_score: 0.9685, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9625, predictive_accuracy: 0.9623, prior_entropy: 4.7004, recall: 0.9623, relative_absolute_error: 0.0434, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0479, root_relative_squared_error: 0.2491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9656, kappa: 0.9643, kb_relative_information_score: 0.9712, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9658, predictive_accuracy: 0.9656, prior_entropy: 4.7004, recall: 0.9656, relative_absolute_error: 0.0403, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0459, root_relative_squared_error: 0.2385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9416, kappa: 0.9393, kb_relative_information_score: 0.9307, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.942, predictive_accuracy: 0.9416, prior_entropy: 4.7004, recall: 0.9416, relative_absolute_error: 0.1115, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0612, root_relative_squared_error: 0.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kappa: 0, kb_relative_information_score: 0.0269, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 7797, predictive_accuracy: 0.0385, prior_entropy: 4.7004, recall: 0.0385, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.272, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9596, kappa: 0.958, kb_relative_information_score: 0.9656, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9598, predictive_accuracy: 0.9596, prior_entropy: 4.7004, recall: 0.9596, relative_absolute_error: 0.0471, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0497, root_relative_squared_error: 0.2583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9596, kappa: 0.958, kb_relative_information_score: 0.9656, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9598, predictive_accuracy: 0.9596, prior_entropy: 4.7004, recall: 0.9596, relative_absolute_error: 0.0471, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0497, root_relative_squared_error: 0.2583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9596, kappa: 0.958, kb_relative_information_score: 0.9656, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9598, predictive_accuracy: 0.9596, prior_entropy: 4.7004, recall: 0.9596, relative_absolute_error: 0.0471, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0497, root_relative_squared_error: 0.2583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9596, kappa: 0.958, kb_relative_information_score: 0.9656, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9598, predictive_accuracy: 0.9596, prior_entropy: 4.7004, recall: 0.9596, relative_absolute_error: 0.0471, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0497, root_relative_squared_error: 0.2583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9596, kappa: 0.958, kb_relative_information_score: 0.9656, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9598, predictive_accuracy: 0.9596, prior_entropy: 4.7004, recall: 0.9596, relative_absolute_error: 0.0471, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0497, root_relative_squared_error: 0.2583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9596, kappa: 0.958, kb_relative_information_score: 0.9656, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9598, predictive_accuracy: 0.9596, prior_entropy: 4.7004, recall: 0.9596, relative_absolute_error: 0.0471, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0497, root_relative_squared_error: 0.2583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9596, kappa: 0.958, kb_relative_information_score: 0.9656, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9598, predictive_accuracy: 0.9596, prior_entropy: 4.7004, recall: 0.9596, relative_absolute_error: 0.0471, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0497, root_relative_squared_error: 0.2583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9439, kappa: 0.9417, kb_relative_information_score: 0.9433, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9449, predictive_accuracy: 0.944, prior_entropy: 4.7004, recall: 0.944, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0657, root_relative_squared_error: 0.3414,
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: 0.9465, 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: 0.971, f_measure: 0.944, kappa: 0.942, kb_relative_information_score: 0.9435, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.945, predictive_accuracy: 0.9442, prior_entropy: 4.7004, recall: 0.9442, relative_absolute_error: 0.058, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0655, root_relative_squared_error: 0.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.9181, kappa: 0.9149, kb_relative_information_score: 0.9172, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9212, predictive_accuracy: 0.9182, prior_entropy: 4.7004, recall: 0.9182, relative_absolute_error: 0.0851, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0793, root_relative_squared_error: 0.4126,

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