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: 0.9714, 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: 0.9456, 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: 0.9455, 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: 0.9717, 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: 0.9994, f_measure: 0.9651, kappa: 0.9637, kb_relative_information_score: 0.9708, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9653, predictive_accuracy: 0.9651, prior_entropy: 4.7004, recall: 0.9651, relative_absolute_error: 0.0409, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.2408,
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: 0.9646, f_measure: 0.9318, kappa: 0.9292, kb_relative_information_score: 0.9311, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9342, predictive_accuracy: 0.9319, prior_entropy: 4.7004, recall: 0.9319, relative_absolute_error: 0.0708, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.3764,
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: 0.9467, 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: 0.9599, 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: 0.9994, f_measure: 0.9651, kappa: 0.9637, kb_relative_information_score: 0.9708, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9653, predictive_accuracy: 0.9651, prior_entropy: 4.7004, recall: 0.9651, relative_absolute_error: 0.0409, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.2408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.917, kappa: 0.9137, kb_relative_information_score: 0.916, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9192, predictive_accuracy: 0.917, prior_entropy: 4.7004, recall: 0.917, relative_absolute_error: 0.0863, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0799, root_relative_squared_error: 0.4155,
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: 0.9454, 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: 0.9576, f_measure: 0.9183, kappa: 0.9152, kb_relative_information_score: 0.9174, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9207, predictive_accuracy: 0.9184, prior_entropy: 4.7004, recall: 0.9184, relative_absolute_error: 0.0848, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0792, root_relative_squared_error: 0.4119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9431, kappa: 0.941, kb_relative_information_score: 0.9426, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.944, predictive_accuracy: 0.9433, prior_entropy: 4.7004, recall: 0.9433, relative_absolute_error: 0.059, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.066, root_relative_squared_error: 0.3434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9463, 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: 0.9471, 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: 0.9721, 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: 0.9994, f_measure: 0.9605, kappa: 0.9589, kb_relative_information_score: 0.9671, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9607, predictive_accuracy: 0.9605, prior_entropy: 4.7004, recall: 0.9605, relative_absolute_error: 0.0465, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0492, root_relative_squared_error: 0.2558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.922, kappa: 0.919, kb_relative_information_score: 0.9212, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9243, predictive_accuracy: 0.9221, prior_entropy: 4.7004, recall: 0.9221, relative_absolute_error: 0.081, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0774, root_relative_squared_error: 0.4024,
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: 0.9456, 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: 0.9718, 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: 0.9714, 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: 0.9462, 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: 0.9605, f_measure: 0.9241, kappa: 0.921, kb_relative_information_score: 0.9232, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9264, predictive_accuracy: 0.9241, prior_entropy: 4.7004, recall: 0.9241, relative_absolute_error: 0.079, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0764, root_relative_squared_error: 0.3974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9605, kappa: 0.9589, kb_relative_information_score: 0.9671, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9607, predictive_accuracy: 0.9605, prior_entropy: 4.7004, recall: 0.9605, relative_absolute_error: 0.0465, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0492, root_relative_squared_error: 0.2558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.9226, kappa: 0.9194, kb_relative_information_score: 0.9216, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9248, predictive_accuracy: 0.9225, prior_entropy: 4.7004, recall: 0.9225, relative_absolute_error: 0.0806, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0772, root_relative_squared_error: 0.4014,
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: 0.9722, f_measure: 0.9463, 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: 0.9472, 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: 0.9561, 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: 0.9994, f_measure: 0.9659, kappa: 0.9645, kb_relative_information_score: 0.9698, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9661, predictive_accuracy: 0.9659, prior_entropy: 4.7004, recall: 0.9659, relative_absolute_error: 0.0402, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.2434,
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: 0.9448, 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: 0.9603, f_measure: 0.9234, kappa: 0.9205, kb_relative_information_score: 0.9226, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9257, predictive_accuracy: 0.9236, prior_entropy: 4.7004, recall: 0.9236, relative_absolute_error: 0.0795, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0767, root_relative_squared_error: 0.3987,
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: 0.9464, 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: 0.9578, 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: 0.9994, f_measure: 0.9659, kappa: 0.9645, kb_relative_information_score: 0.9698, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9661, predictive_accuracy: 0.9659, prior_entropy: 4.7004, recall: 0.9659, relative_absolute_error: 0.0402, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0468, root_relative_squared_error: 0.2434,
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: 0.9724, 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: 0.9474, 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: 0.9989, f_measure: 0.9552, kappa: 0.9534, kb_relative_information_score: 0.9614, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9555, predictive_accuracy: 0.9552, prior_entropy: 4.7004, recall: 0.9552, relative_absolute_error: 0.052, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0524, root_relative_squared_error: 0.2724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.9174, kappa: 0.9144, kb_relative_information_score: 0.9167, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9203, 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: 0.9711, 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: 0.9566, 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: 0.9717, 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: 0.9561, f_measure: 0.9154, 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: 0.9184, 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: 0.9572, 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: 0.9206, 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: 0.9563, f_measure: 0.9158, kappa: 0.9125, kb_relative_information_score: 0.9148, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9184, predictive_accuracy: 0.9159, prior_entropy: 4.7004, recall: 0.9159, relative_absolute_error: 0.0875, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0804, root_relative_squared_error: 0.4183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9552, kappa: 0.9534, kb_relative_information_score: 0.9614, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9555, predictive_accuracy: 0.9552, prior_entropy: 4.7004, recall: 0.9552, relative_absolute_error: 0.052, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0524, root_relative_squared_error: 0.2724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9587, f_measure: 0.9202, kappa: 0.9173, kb_relative_information_score: 0.9195, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9231, predictive_accuracy: 0.9205, prior_entropy: 4.7004, recall: 0.9205, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.4067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.922, 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: 0.9244, 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: 0.9576, f_measure: 0.9182, kappa: 0.9152, kb_relative_information_score: 0.9174, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.92, predictive_accuracy: 0.9184, prior_entropy: 4.7004, recall: 0.9184, relative_absolute_error: 0.0848, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0792, root_relative_squared_error: 0.4119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, 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: 0.9475, 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: 0.9718, f_measure: 0.9455, 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: 0.9717, 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: 0.9465, 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: 0.9549, f_measure: 0.9131, kappa: 0.9098, kb_relative_information_score: 0.9123, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9159, predictive_accuracy: 0.9133, prior_entropy: 4.7004, recall: 0.9133, relative_absolute_error: 0.0902, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.4247,
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: 0.9474, 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: 0.9562, 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: 0.9185, 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: 0.9566, f_measure: 0.9162, kappa: 0.9132, kb_relative_information_score: 0.9155, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9193, 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: 0.9397, f_measure: 0.8838, kappa: 0.8794, kb_relative_information_score: 0.8827, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8875, predictive_accuracy: 0.8841, prior_entropy: 4.7004, recall: 0.8841, relative_absolute_error: 0.1206, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.4911,
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: 0.944, 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: 0.9709, f_measure: 0.9439, kappa: 0.9418, kb_relative_information_score: 0.9434, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9455, predictive_accuracy: 0.9441, prior_entropy: 4.7004, recall: 0.9441, relative_absolute_error: 0.0582, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9569, kappa: 0.9552, kb_relative_information_score: 0.9623, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.957, predictive_accuracy: 0.9569, prior_entropy: 4.7004, recall: 0.9569, relative_absolute_error: 0.0544, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0509, root_relative_squared_error: 0.2648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9439, kappa: 0.9418, kb_relative_information_score: 0.9434, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9447, predictive_accuracy: 0.9441, prior_entropy: 4.7004, recall: 0.9441, relative_absolute_error: 0.0582, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9425, kappa: 0.9404, kb_relative_information_score: 0.942, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9436, predictive_accuracy: 0.9427, prior_entropy: 4.7004, recall: 0.9427, relative_absolute_error: 0.0596, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0664, root_relative_squared_error: 0.3453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.9257, kappa: 0.9228, kb_relative_information_score: 0.9248, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9277, predictive_accuracy: 0.9257, prior_entropy: 4.7004, recall: 0.9257, relative_absolute_error: 0.0772, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0756, root_relative_squared_error: 0.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.9177, kappa: 0.9146, kb_relative_information_score: 0.9169, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.92, predictive_accuracy: 0.9179, prior_entropy: 4.7004, recall: 0.9179, relative_absolute_error: 0.0854, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.4132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9199, kappa: 0.9169, kb_relative_information_score: 0.9191, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9218, predictive_accuracy: 0.9201, prior_entropy: 4.7004, recall: 0.9201, relative_absolute_error: 0.0831, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0784, root_relative_squared_error: 0.4077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, 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: 0.9202, 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: 0.9644, f_measure: 0.9314, 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: 0.9336, 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: 0.9721, f_measure: 0.946, 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: 0.9464, 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: 0.9995, f_measure: 0.9667, kappa: 0.9653, kb_relative_information_score: 0.9715, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9668, predictive_accuracy: 0.9667, prior_entropy: 4.7004, recall: 0.9667, relative_absolute_error: 0.0388, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0456, root_relative_squared_error: 0.2372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9536, kappa: 0.9518, kb_relative_information_score: 0.9556, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9538, predictive_accuracy: 0.9537, prior_entropy: 4.7004, recall: 0.9537, relative_absolute_error: 0.0752, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0526, root_relative_squared_error: 0.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9444, kappa: 0.9422, kb_relative_information_score: 0.9302, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9447, predictive_accuracy: 0.9445, prior_entropy: 4.7004, recall: 0.9445, relative_absolute_error: 0.1476, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0605, root_relative_squared_error: 0.3144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9507, kappa: 0.9488, kb_relative_information_score: 0.9555, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9511, predictive_accuracy: 0.9508, prior_entropy: 4.7004, recall: 0.9508, relative_absolute_error: 0.0647, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.054, root_relative_squared_error: 0.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.939, kappa: 0.9366, kb_relative_information_score: 0.9255, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9392, predictive_accuracy: 0.9391, prior_entropy: 4.7004, recall: 0.9391, relative_absolute_error: 0.1556, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0622, root_relative_squared_error: 0.3235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9505, kappa: 0.9485, kb_relative_information_score: 0.9534, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9507, predictive_accuracy: 0.9505, prior_entropy: 4.7004, recall: 0.9505, relative_absolute_error: 0.0703, 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: 0.9995, f_measure: 0.9651, kappa: 0.9637, kb_relative_information_score: 0.9713, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9653, predictive_accuracy: 0.9651, prior_entropy: 4.7004, recall: 0.9651, relative_absolute_error: 0.0391, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.2407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.8406, kappa: 0.8335, kb_relative_information_score: 0.8408, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8419, predictive_accuracy: 0.8399, prior_entropy: 4.7004, recall: 0.8399, relative_absolute_error: 0.1665, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.5708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9504, kappa: 0.9484, kb_relative_information_score: 0.9451, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9506, predictive_accuracy: 0.9504, prior_entropy: 4.7004, recall: 0.9504, relative_absolute_error: 0.1125, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0555, root_relative_squared_error: 0.2886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.8468, kappa: 0.8402, kb_relative_information_score: 0.8467, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8478, predictive_accuracy: 0.8464, prior_entropy: 4.7004, recall: 0.8464, relative_absolute_error: 0.1598, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1078, root_relative_squared_error: 0.5607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9665, kappa: 0.9652, kb_relative_information_score: 0.9717, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9667, predictive_accuracy: 0.9665, prior_entropy: 4.7004, recall: 0.9665, relative_absolute_error: 0.039, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0457, root_relative_squared_error: 0.2377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9576, kappa: 0.9558, kb_relative_information_score: 0.9644, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9577, predictive_accuracy: 0.9575, prior_entropy: 4.7004, recall: 0.9575, relative_absolute_error: 0.049, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0509, root_relative_squared_error: 0.2649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9157, kappa: 0.9124, kb_relative_information_score: 0.9202, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.916, predictive_accuracy: 0.9157, prior_entropy: 4.7004, recall: 0.9157, relative_absolute_error: 0.1126, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0732, root_relative_squared_error: 0.3804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9576, kappa: 0.9558, kb_relative_information_score: 0.9652, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9577, predictive_accuracy: 0.9575, prior_entropy: 4.7004, recall: 0.9575, relative_absolute_error: 0.0479, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0505, root_relative_squared_error: 0.2628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.965, kappa: 0.9636, kb_relative_information_score: 0.9714, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9652, predictive_accuracy: 0.965, prior_entropy: 4.7004, recall: 0.965, relative_absolute_error: 0.0393, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0461, root_relative_squared_error: 0.2398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9613, kappa: 0.9597, kb_relative_information_score: 0.9664, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9615, predictive_accuracy: 0.9613, prior_entropy: 4.7004, recall: 0.9613, relative_absolute_error: 0.0543, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0478, root_relative_squared_error: 0.2487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9557, kappa: 0.954, kb_relative_information_score: 0.9612, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9559, predictive_accuracy: 0.9558, prior_entropy: 4.7004, recall: 0.9558, relative_absolute_error: 0.0526, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0528, root_relative_squared_error: 0.2747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9578, kappa: 0.9561, kb_relative_information_score: 0.9617, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.958, predictive_accuracy: 0.9578, prior_entropy: 4.7004, recall: 0.9578, relative_absolute_error: 0.0644, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.05, root_relative_squared_error: 0.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.961, kappa: 0.9595, kb_relative_information_score: 0.967, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9611, predictive_accuracy: 0.961, prior_entropy: 4.7004, recall: 0.961, relative_absolute_error: 0.0455, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.049, root_relative_squared_error: 0.2548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9542, kappa: 0.9524, kb_relative_information_score: 0.962, mean_absolute_error: 0.004, 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: 0.0543, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0521, root_relative_squared_error: 0.2709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9328, kappa: 0.9304, kb_relative_information_score: 0.9451, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9333, predictive_accuracy: 0.9331, prior_entropy: 4.7004, recall: 0.9331, relative_absolute_error: 0.0736, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.064, root_relative_squared_error: 0.3328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.926, kappa: 0.923, kb_relative_information_score: 0.8732, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9265, predictive_accuracy: 0.926, prior_entropy: 4.7004, recall: 0.926, relative_absolute_error: 0.2714, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.4011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9573, kappa: 0.9556, kb_relative_information_score: 0.9622, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9575, predictive_accuracy: 0.9573, prior_entropy: 4.7004, recall: 0.9573, relative_absolute_error: 0.0584, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0501, root_relative_squared_error: 0.2606,
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: 0.9455, 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: 0.9716, 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: 0.9463, 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: 0.9728, f_measure: 0.9476, kappa: 0.9456, kb_relative_information_score: 0.947, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9482, predictive_accuracy: 0.9477, prior_entropy: 4.7004, recall: 0.9477, relative_absolute_error: 0.0544, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0634, root_relative_squared_error: 0.3299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.9111, kappa: 0.9081, kb_relative_information_score: 0.9106, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9142, predictive_accuracy: 0.9116, prior_entropy: 4.7004, recall: 0.9116, relative_absolute_error: 0.0919, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.4287,
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: 0.9568, f_measure: 0.9168, kappa: 0.9136, kb_relative_information_score: 0.9159, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9198, predictive_accuracy: 0.9169, prior_entropy: 4.7004, recall: 0.9169, relative_absolute_error: 0.0864, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.08, root_relative_squared_error: 0.4158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, 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: 0.9465, 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: 0.9715, 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: 0.9459, predictive_accuracy: 0.9452, prior_entropy: 4.7004, recall: 0.9452, relative_absolute_error: 0.057, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0649, root_relative_squared_error: 0.3375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.9462, 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: 0.9567, f_measure: 0.9165, kappa: 0.9134, kb_relative_information_score: 0.9158, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9186, predictive_accuracy: 0.9168, prior_entropy: 4.7004, recall: 0.9168, relative_absolute_error: 0.0866, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.08, root_relative_squared_error: 0.4161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9428, kappa: 0.9406, kb_relative_information_score: 0.9422, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9444, predictive_accuracy: 0.9429, prior_entropy: 4.7004, recall: 0.9429, relative_absolute_error: 0.0594, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0663, root_relative_squared_error: 0.3445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9614, kappa: 0.9599, kb_relative_information_score: 0.9674, mean_absolute_error: 0.0033, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.9617, predictive_accuracy: 0.9614, prior_entropy: 4.7004, recall: 0.9614, relative_absolute_error: 0.045, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0486, root_relative_squared_error: 0.2526,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

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

OpenML APIs