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: 0.972, 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: 0.9483, 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: 0.9471, kappa: 0.9449, kb_relative_information_score: 0.9419, mean_absolute_error: 0.008, 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: 0.1083, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0564, root_relative_squared_error: 0.2933,
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: 0.9641, 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: 0.9719, 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: 0.9456, f_measure: 0.895, kappa: 0.8912, kb_relative_information_score: 0.8941, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8961, predictive_accuracy: 0.8953, prior_entropy: 4.7004, recall: 0.8953, relative_absolute_error: 0.1088, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.4666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9645, kappa: 0.9631, kb_relative_information_score: 0.9699, 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: 0.0407, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.047, root_relative_squared_error: 0.2442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.9227, kappa: 0.9197, kb_relative_information_score: 0.9219, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9248, predictive_accuracy: 0.9228, prior_entropy: 4.7004, recall: 0.9228, relative_absolute_error: 0.0803, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.4007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.8934, kappa: 0.8893, kb_relative_information_score: 0.8923, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8972, predictive_accuracy: 0.8935, prior_entropy: 4.7004, recall: 0.8935, relative_absolute_error: 0.1107, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.4706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9645, kappa: 0.9631, kb_relative_information_score: 0.9699, 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: 0.0407, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.047, root_relative_squared_error: 0.2442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9644, f_measure: 0.9315, kappa: 0.9288, kb_relative_information_score: 0.9307, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9337, predictive_accuracy: 0.9315, prior_entropy: 4.7004, recall: 0.9315, relative_absolute_error: 0.0712, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0726, root_relative_squared_error: 0.3774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.9321, kappa: 0.9294, kb_relative_information_score: 0.9313, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9343, predictive_accuracy: 0.9322, prior_entropy: 4.7004, recall: 0.9322, relative_absolute_error: 0.0706, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0722, root_relative_squared_error: 0.3757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.964, kappa: 0.9625, kb_relative_information_score: 0.9698, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9642, predictive_accuracy: 0.964, prior_entropy: 4.7004, recall: 0.964, relative_absolute_error: 0.0409, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0471, root_relative_squared_error: 0.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9488, f_measure: 0.9017, kappa: 0.8977, kb_relative_information_score: 0.9004, mean_absolute_error: 0.0076, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9045, predictive_accuracy: 0.9016, prior_entropy: 4.7004, recall: 0.9016, relative_absolute_error: 0.1023, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.087, root_relative_squared_error: 0.4523,
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: 0.9993, f_measure: 0.964, kappa: 0.9625, kb_relative_information_score: 0.9698, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9642, predictive_accuracy: 0.964, prior_entropy: 4.7004, recall: 0.964, relative_absolute_error: 0.0409, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0471, root_relative_squared_error: 0.245,
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: 0.9454, f_measure: 0.8941, kappa: 0.8908, kb_relative_information_score: 0.8937, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9001, predictive_accuracy: 0.895, prior_entropy: 4.7004, recall: 0.895, relative_absolute_error: 0.1092, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.4674,
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: 0.9707, 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: 0.9993, f_measure: 0.9613, kappa: 0.9597, kb_relative_information_score: 0.9668, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 4.7004, recall: 0.9613, relative_absolute_error: 0.046, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0494, root_relative_squared_error: 0.2569,
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: 0.9993, f_measure: 0.9613, kappa: 0.9597, kb_relative_information_score: 0.9668, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9614, predictive_accuracy: 0.9613, prior_entropy: 4.7004, recall: 0.9613, relative_absolute_error: 0.046, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0494, root_relative_squared_error: 0.2569,
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: 0.9718, 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: 0.9565, f_measure: 0.9158, kappa: 0.913, kb_relative_information_score: 0.9154, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9199, predictive_accuracy: 0.9164, prior_entropy: 4.7004, recall: 0.9164, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0802, root_relative_squared_error: 0.4171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9391, kappa: 0.9366, kb_relative_information_score: 0.9059, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9395, predictive_accuracy: 0.9391, prior_entropy: 4.7004, recall: 0.9391, relative_absolute_error: 0.1728, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.066, root_relative_squared_error: 0.3432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9391, kappa: 0.9366, kb_relative_information_score: 0.9059, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9395, predictive_accuracy: 0.9391, prior_entropy: 4.7004, recall: 0.9391, relative_absolute_error: 0.1728, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.066, root_relative_squared_error: 0.3432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.9067, kappa: 0.903, kb_relative_information_score: 0.9056, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9085, predictive_accuracy: 0.9068, prior_entropy: 4.7004, recall: 0.9068, relative_absolute_error: 0.097, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.4404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.9288, kappa: 0.9261, kb_relative_information_score: 0.9281, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9312, predictive_accuracy: 0.9289, prior_entropy: 4.7004, recall: 0.9289, relative_absolute_error: 0.0739, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0739, root_relative_squared_error: 0.3844,
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: 0.9473, 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: 0.949, 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: 0.9717, 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: 0.9465, 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: 0.9044, f_measure: 0.8965, kappa: 0.8678, kb_relative_information_score: 0.877, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9394, predictive_accuracy: 0.8729, prior_entropy: 4.7004, recall: 0.8729, relative_absolute_error: 0.1356, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.5014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.8965, kappa: 0.8678, kb_relative_information_score: 0.877, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9394, predictive_accuracy: 0.8729, prior_entropy: 4.7004, recall: 0.8729, relative_absolute_error: 0.1356, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0964, root_relative_squared_error: 0.5014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9312, kappa: 0.9285, kb_relative_information_score: 0.9304, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9335, predictive_accuracy: 0.9313, prior_entropy: 4.7004, recall: 0.9313, relative_absolute_error: 0.0715, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0727, root_relative_squared_error: 0.3781,
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: 0.9467, 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: 0.9714, 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: 0.972, 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: 0.9472, 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: 0.9713, 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: 0.9724, f_measure: 0.9468, kappa: 0.9448, kb_relative_information_score: 0.9463, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9477, predictive_accuracy: 0.9469, prior_entropy: 4.7004, recall: 0.9469, relative_absolute_error: 0.0552, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0639, root_relative_squared_error: 0.3323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9487, kappa: 0.9466, kb_relative_information_score: 0.9367, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.949, predictive_accuracy: 0.9487, prior_entropy: 4.7004, recall: 0.9487, relative_absolute_error: 0.1231, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0579, root_relative_squared_error: 0.3011,
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: 0.9988, f_measure: 0.9487, kappa: 0.9466, kb_relative_information_score: 0.9367, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.949, predictive_accuracy: 0.9487, prior_entropy: 4.7004, recall: 0.9487, relative_absolute_error: 0.1231, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0579, root_relative_squared_error: 0.3011,
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: 0.9993, f_measure: 0.9626, kappa: 0.9611, kb_relative_information_score: 0.9686, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9628, predictive_accuracy: 0.9625, prior_entropy: 4.7004, recall: 0.9625, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0478, root_relative_squared_error: 0.2486,
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: 0.9993, f_measure: 0.9626, kappa: 0.9611, kb_relative_information_score: 0.9686, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9628, predictive_accuracy: 0.9625, prior_entropy: 4.7004, recall: 0.9625, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0478, root_relative_squared_error: 0.2486,
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: 0.9716, 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: 0.9509, 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: 0.9579, 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: 0.9584, 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: 0.9715, 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: 0.9987, f_measure: 0.9542, kappa: 0.9524, kb_relative_information_score: 0.9581, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9545, predictive_accuracy: 0.9542, prior_entropy: 4.7004, recall: 0.9542, relative_absolute_error: 0.0556, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0543, root_relative_squared_error: 0.2825,
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: 0.9987, f_measure: 0.9542, kappa: 0.9524, kb_relative_information_score: 0.9581, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9545, predictive_accuracy: 0.9542, prior_entropy: 4.7004, recall: 0.9542, relative_absolute_error: 0.0556, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0543, root_relative_squared_error: 0.2825,
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: 0.972, 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: 0.9717, 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: 0.9727, f_measure: 0.9474, kappa: 0.9454, kb_relative_information_score: 0.9469, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9482, predictive_accuracy: 0.9475, prior_entropy: 4.7004, recall: 0.9475, relative_absolute_error: 0.0546, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0635, root_relative_squared_error: 0.3303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.919, 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: 0.9222, 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: 0.9562, 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: 0.9713, 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: 0.9581, f_measure: 0.9194, kappa: 0.9162, kb_relative_information_score: 0.9185, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9224, predictive_accuracy: 0.9195, prior_entropy: 4.7004, recall: 0.9195, relative_absolute_error: 0.0838, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0787, root_relative_squared_error: 0.4093,
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: 0.9467, 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: 0.9989, f_measure: 0.95, kappa: 0.948, kb_relative_information_score: 0.9453, 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: 0.1121, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.2882,
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: 0.9991, f_measure: 0.9487, kappa: 0.9465, kb_relative_information_score: 0.9505, mean_absolute_error: 0.0073, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9489, predictive_accuracy: 0.9486, prior_entropy: 4.7004, recall: 0.9486, relative_absolute_error: 0.0981, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0546, root_relative_squared_error: 0.2838,
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: 0.973, 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: 0.9715, f_measure: 0.945, 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: 0.9463, 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: 0.9989, f_measure: 0.95, kappa: 0.948, kb_relative_information_score: 0.9453, 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: 0.1121, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.2882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9444, 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: 0.9454, 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: 0.9721, 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: 0.9709, 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: 0.9645, 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: 0.9713, 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: 0.9985, f_measure: 0.9487, kappa: 0.9466, kb_relative_information_score: 0.9545, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9489, predictive_accuracy: 0.9487, prior_entropy: 4.7004, recall: 0.9487, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.2942,
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: 0.9721, 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: 0.9585, f_measure: 0.92, kappa: 0.917, kb_relative_information_score: 0.9193, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9226, predictive_accuracy: 0.9202, prior_entropy: 4.7004, recall: 0.9202, relative_absolute_error: 0.083, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0783, root_relative_squared_error: 0.4073,
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: 0.9985, f_measure: 0.9487, kappa: 0.9466, kb_relative_information_score: 0.9545, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9489, predictive_accuracy: 0.9487, prior_entropy: 4.7004, recall: 0.9487, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.2942,
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: 0.9561, 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: 0.9187, 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: 0.9715, 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: 0.9715, f_measure: 0.945, 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: 0.9461, 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: 0.9992, f_measure: 0.9599, kappa: 0.9584, kb_relative_information_score: 0.966, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9601, predictive_accuracy: 0.96, prior_entropy: 4.7004, recall: 0.96, relative_absolute_error: 0.0461, 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: 0.9721, 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: 0.9719, f_measure: 0.9458, 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: 0.9714, 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: 0.9595, f_measure: 0.9219, kappa: 0.9189, kb_relative_information_score: 0.9211, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9245, predictive_accuracy: 0.922, prior_entropy: 4.7004, recall: 0.922, relative_absolute_error: 0.0811, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0774, root_relative_squared_error: 0.4027,
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: 0.9992, f_measure: 0.9599, kappa: 0.9584, kb_relative_information_score: 0.966, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9601, predictive_accuracy: 0.96, prior_entropy: 4.7004, recall: 0.96, relative_absolute_error: 0.0461, 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: 0.9718, 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: 0.9719, 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: 0.9711, 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,

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

OpenML APIs