Task
Supervised Classification on splice

Supervised Classification on splice

Task 45 Supervised Classification splice 16589 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_50 study_7 study_70 study_98 study_99 under100k under1m
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16589 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.9228, kappa: 0.875, kb_relative_information_score: 0.8815, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9235, predictive_accuracy: 0.9229, prior_entropy: 1.4802, recall: 0.9229, relative_absolute_error: 0.1254, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.9209, kappa: 0.8717, kb_relative_information_score: 0.8781, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9215, predictive_accuracy: 0.921, prior_entropy: 1.4802, recall: 0.921, relative_absolute_error: 0.1284, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.5068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9225, kappa: 0.8744, kb_relative_information_score: 0.8809, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9231, predictive_accuracy: 0.9226, prior_entropy: 1.4802, recall: 0.9226, relative_absolute_error: 0.1259, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.922, kappa: 0.8737, kb_relative_information_score: 0.8809, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9226, predictive_accuracy: 0.9219, prior_entropy: 1.4802, recall: 0.9219, relative_absolute_error: 0.1269, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.5038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.9195, kappa: 0.8695, kb_relative_information_score: 0.8766, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9199, predictive_accuracy: 0.9194, prior_entropy: 1.4802, recall: 0.9194, relative_absolute_error: 0.131, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.5118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9222, kappa: 0.874, kb_relative_information_score: 0.8808, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9229, predictive_accuracy: 0.9223, prior_entropy: 1.4802, recall: 0.9223, relative_absolute_error: 0.1264, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.5028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.9244, kappa: 0.8775, kb_relative_information_score: 0.8839, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9251, predictive_accuracy: 0.9245, prior_entropy: 1.4802, recall: 0.9245, relative_absolute_error: 0.1228, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.4956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.9198, kappa: 0.8701, kb_relative_information_score: 0.8772, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9203, predictive_accuracy: 0.9197, prior_entropy: 1.4802, recall: 0.9197, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.5108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9217, kappa: 0.8731, kb_relative_information_score: 0.8802, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9222, predictive_accuracy: 0.9216, prior_entropy: 1.4802, recall: 0.9216, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.5048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9324, f_measure: 0.9134, kappa: 0.8598, kb_relative_information_score: 0.8675, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.914, predictive_accuracy: 0.9135, prior_entropy: 1.4802, recall: 0.9135, relative_absolute_error: 0.1407, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2402, root_relative_squared_error: 0.5304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.9193, kappa: 0.8693, kb_relative_information_score: 0.8766, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9196, predictive_accuracy: 0.9194, prior_entropy: 1.4802, recall: 0.9194, relative_absolute_error: 0.131, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.5118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.9221, kappa: 0.8739, kb_relative_information_score: 0.8804, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9228, predictive_accuracy: 0.9223, prior_entropy: 1.4802, recall: 0.9223, relative_absolute_error: 0.1264, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.5028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.9201, kappa: 0.8706, kb_relative_information_score: 0.8778, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9207, predictive_accuracy: 0.9201, prior_entropy: 1.4802, recall: 0.9201, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.5098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.9204, kappa: 0.871, kb_relative_information_score: 0.8781, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9208, predictive_accuracy: 0.9204, prior_entropy: 1.4802, recall: 0.9204, relative_absolute_error: 0.1294, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.5088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.9214, kappa: 0.8726, kb_relative_information_score: 0.8797, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9218, predictive_accuracy: 0.9213, prior_entropy: 1.4802, recall: 0.9213, relative_absolute_error: 0.1279, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.229, root_relative_squared_error: 0.5058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9224, kappa: 0.8744, kb_relative_information_score: 0.8811, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.923, predictive_accuracy: 0.9226, prior_entropy: 1.4802, recall: 0.9226, relative_absolute_error: 0.1259, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.9215, kappa: 0.8728, kb_relative_information_score: 0.8792, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9221, predictive_accuracy: 0.9216, prior_entropy: 1.4802, recall: 0.9216, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.5048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.921, kappa: 0.872, kb_relative_information_score: 0.8789, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9215, predictive_accuracy: 0.921, prior_entropy: 1.4802, recall: 0.921, relative_absolute_error: 0.1284, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.5068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.9231, kappa: 0.8754, kb_relative_information_score: 0.8819, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9238, predictive_accuracy: 0.9232, prior_entropy: 1.4802, recall: 0.9232, relative_absolute_error: 0.1249, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.4997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.9237, kappa: 0.8764, kb_relative_information_score: 0.883, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9242, predictive_accuracy: 0.9238, prior_entropy: 1.4802, recall: 0.9238, relative_absolute_error: 0.1238, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.4977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.9238, kappa: 0.8765, kb_relative_information_score: 0.8828, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9244, predictive_accuracy: 0.9238, prior_entropy: 1.4802, recall: 0.9238, relative_absolute_error: 0.1238, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.4977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.9206, kappa: 0.8714, kb_relative_information_score: 0.8782, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9211, predictive_accuracy: 0.9207, prior_entropy: 1.4802, recall: 0.9207, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.5078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.9224, kappa: 0.8743, kb_relative_information_score: 0.8808, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.923, predictive_accuracy: 0.9226, prior_entropy: 1.4802, recall: 0.9226, relative_absolute_error: 0.1259, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.9231, kappa: 0.8754, kb_relative_information_score: 0.8818, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9237, predictive_accuracy: 0.9232, prior_entropy: 1.4802, recall: 0.9232, relative_absolute_error: 0.1249, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.4997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.9171, kappa: 0.8657, kb_relative_information_score: 0.8727, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9177, predictive_accuracy: 0.9172, prior_entropy: 1.4802, recall: 0.9172, relative_absolute_error: 0.1345, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, f_measure: 0.9238, kappa: 0.8765, kb_relative_information_score: 0.8829, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9244, predictive_accuracy: 0.9238, prior_entropy: 1.4802, recall: 0.9238, relative_absolute_error: 0.1238, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.4977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.9207, kappa: 0.8715, kb_relative_information_score: 0.8785, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9212, predictive_accuracy: 0.9207, prior_entropy: 1.4802, recall: 0.9207, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.5078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.9207, kappa: 0.8716, kb_relative_information_score: 0.8786, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9212, predictive_accuracy: 0.9207, prior_entropy: 1.4802, recall: 0.9207, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.5078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.9216, kappa: 0.873, kb_relative_information_score: 0.88, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9221, predictive_accuracy: 0.9216, prior_entropy: 1.4802, recall: 0.9216, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.5048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.9228, kappa: 0.8749, kb_relative_information_score: 0.8813, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9234, predictive_accuracy: 0.9229, prior_entropy: 1.4802, recall: 0.9229, relative_absolute_error: 0.1254, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.9231, kappa: 0.8755, kb_relative_information_score: 0.8819, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9238, predictive_accuracy: 0.9232, prior_entropy: 1.4802, recall: 0.9232, relative_absolute_error: 0.1249, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.4997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9228, kappa: 0.875, kb_relative_information_score: 0.8815, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9235, predictive_accuracy: 0.9229, prior_entropy: 1.4802, recall: 0.9229, relative_absolute_error: 0.1254, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.919, kappa: 0.8688, kb_relative_information_score: 0.8755, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9197, predictive_accuracy: 0.9191, prior_entropy: 1.4802, recall: 0.9191, relative_absolute_error: 0.1315, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.5128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9225, kappa: 0.8744, kb_relative_information_score: 0.881, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9231, predictive_accuracy: 0.9226, prior_entropy: 1.4802, recall: 0.9226, relative_absolute_error: 0.1259, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.9232, kappa: 0.8755, kb_relative_information_score: 0.882, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9238, predictive_accuracy: 0.9232, prior_entropy: 1.4802, recall: 0.9232, relative_absolute_error: 0.1249, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.4997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.9219, kappa: 0.8734, kb_relative_information_score: 0.88, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9223, predictive_accuracy: 0.9219, prior_entropy: 1.4802, recall: 0.9219, relative_absolute_error: 0.1269, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.5038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9394, f_measure: 0.9211, kappa: 0.8722, kb_relative_information_score: 0.8792, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9217, predictive_accuracy: 0.921, prior_entropy: 1.4802, recall: 0.921, relative_absolute_error: 0.1284, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.5068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.9206, kappa: 0.8714, kb_relative_information_score: 0.8782, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9212, predictive_accuracy: 0.9207, prior_entropy: 1.4802, recall: 0.9207, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.5078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.9206, kappa: 0.8713, kb_relative_information_score: 0.878, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9211, predictive_accuracy: 0.9207, prior_entropy: 1.4802, recall: 0.9207, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.5078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.9201, kappa: 0.8705, kb_relative_information_score: 0.8776, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9205, predictive_accuracy: 0.9201, prior_entropy: 1.4802, recall: 0.9201, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.5098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.9163, kappa: 0.8645, kb_relative_information_score: 0.8722, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9169, predictive_accuracy: 0.9163, prior_entropy: 1.4802, recall: 0.9163, relative_absolute_error: 0.1361, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.5217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.9159, kappa: 0.8638, kb_relative_information_score: 0.8711, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9164, predictive_accuracy: 0.916, prior_entropy: 1.4802, recall: 0.916, relative_absolute_error: 0.1366, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.5227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.9195, kappa: 0.8696, kb_relative_information_score: 0.8762, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.92, predictive_accuracy: 0.9197, prior_entropy: 1.4802, recall: 0.9197, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.5108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.9225, kappa: 0.8744, kb_relative_information_score: 0.8809, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9231, predictive_accuracy: 0.9226, prior_entropy: 1.4802, recall: 0.9226, relative_absolute_error: 0.1259, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.915, kappa: 0.8622, kb_relative_information_score: 0.8693, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9154, predictive_accuracy: 0.915, prior_entropy: 1.4802, recall: 0.915, relative_absolute_error: 0.1381, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.238, root_relative_squared_error: 0.5256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.9234, kappa: 0.8759, kb_relative_information_score: 0.8823, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.924, predictive_accuracy: 0.9235, prior_entropy: 1.4802, recall: 0.9235, relative_absolute_error: 0.1243, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.4987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.9216, kappa: 0.8729, kb_relative_information_score: 0.8796, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9222, predictive_accuracy: 0.9216, prior_entropy: 1.4802, recall: 0.9216, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.5048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9231, kappa: 0.8754, kb_relative_information_score: 0.8818, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9236, predictive_accuracy: 0.9232, prior_entropy: 1.4802, recall: 0.9232, relative_absolute_error: 0.1249, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.4997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.9215, kappa: 0.8729, kb_relative_information_score: 0.8795, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9221, predictive_accuracy: 0.9216, prior_entropy: 1.4802, recall: 0.9216, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.5048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.9188, kappa: 0.8685, kb_relative_information_score: 0.8756, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9192, predictive_accuracy: 0.9188, prior_entropy: 1.4802, recall: 0.9188, relative_absolute_error: 0.132, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.5138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.9196, kappa: 0.8698, kb_relative_information_score: 0.8767, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9201, predictive_accuracy: 0.9197, prior_entropy: 1.4802, recall: 0.9197, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.5108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.9184, kappa: 0.868, kb_relative_information_score: 0.8751, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9192, predictive_accuracy: 0.9185, prior_entropy: 1.4802, recall: 0.9185, relative_absolute_error: 0.1325, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.5148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9225, kappa: 0.8744, kb_relative_information_score: 0.881, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9231, predictive_accuracy: 0.9226, prior_entropy: 1.4802, recall: 0.9226, relative_absolute_error: 0.1259, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.9219, kappa: 0.8735, kb_relative_information_score: 0.88, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9225, predictive_accuracy: 0.9219, prior_entropy: 1.4802, recall: 0.9219, relative_absolute_error: 0.1269, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.5038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.9219, kappa: 0.8735, kb_relative_information_score: 0.8802, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9226, predictive_accuracy: 0.9219, prior_entropy: 1.4802, recall: 0.9219, relative_absolute_error: 0.1269, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.5038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.921, kappa: 0.872, kb_relative_information_score: 0.8788, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9215, predictive_accuracy: 0.921, prior_entropy: 1.4802, recall: 0.921, relative_absolute_error: 0.1284, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.5068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.9187, kappa: 0.8684, kb_relative_information_score: 0.8754, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9193, predictive_accuracy: 0.9188, prior_entropy: 1.4802, recall: 0.9188, relative_absolute_error: 0.132, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.5138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.9228, kappa: 0.8749, kb_relative_information_score: 0.8815, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9234, predictive_accuracy: 0.9229, prior_entropy: 1.4802, recall: 0.9229, relative_absolute_error: 0.1254, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.9228, kappa: 0.8749, kb_relative_information_score: 0.8815, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9234, predictive_accuracy: 0.9229, prior_entropy: 1.4802, recall: 0.9229, relative_absolute_error: 0.1254, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.9208, kappa: 0.8716, kb_relative_information_score: 0.8787, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9213, predictive_accuracy: 0.9207, prior_entropy: 1.4802, recall: 0.9207, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.5078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.9179, kappa: 0.867, kb_relative_information_score: 0.8744, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9184, predictive_accuracy: 0.9179, prior_entropy: 1.4802, recall: 0.9179, relative_absolute_error: 0.1335, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.234, root_relative_squared_error: 0.5168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.9179, kappa: 0.867, kb_relative_information_score: 0.8744, mean_absolute_error: 0.0548, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9184, predictive_accuracy: 0.9179, prior_entropy: 1.4802, recall: 0.9179, relative_absolute_error: 0.1335, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.234, root_relative_squared_error: 0.5168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.9208, kappa: 0.8716, kb_relative_information_score: 0.8787, mean_absolute_error: 0.0529, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9213, predictive_accuracy: 0.9207, prior_entropy: 1.4802, recall: 0.9207, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2299, root_relative_squared_error: 0.5078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.9204, kappa: 0.8711, kb_relative_information_score: 0.8781, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9209, predictive_accuracy: 0.9204, prior_entropy: 1.4802, recall: 0.9204, relative_absolute_error: 0.1294, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.5088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9222, kappa: 0.874, kb_relative_information_score: 0.8808, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9229, predictive_accuracy: 0.9223, prior_entropy: 1.4802, recall: 0.9223, relative_absolute_error: 0.1264, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.5028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9384, f_measure: 0.9204, kappa: 0.8711, kb_relative_information_score: 0.8781, mean_absolute_error: 0.0531, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9209, predictive_accuracy: 0.9204, prior_entropy: 1.4802, recall: 0.9204, relative_absolute_error: 0.1294, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.5088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.9215, kappa: 0.8729, kb_relative_information_score: 0.8795, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9221, predictive_accuracy: 0.9216, prior_entropy: 1.4802, recall: 0.9216, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.5048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.922, kappa: 0.8737, kb_relative_information_score: 0.8809, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9226, predictive_accuracy: 0.9219, prior_entropy: 1.4802, recall: 0.9219, relative_absolute_error: 0.1269, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.5038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9387, f_measure: 0.9215, kappa: 0.8729, kb_relative_information_score: 0.8795, mean_absolute_error: 0.0522, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9221, predictive_accuracy: 0.9216, prior_entropy: 1.4802, recall: 0.9216, relative_absolute_error: 0.1274, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2286, root_relative_squared_error: 0.5048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9228, kappa: 0.875, kb_relative_information_score: 0.8815, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9235, predictive_accuracy: 0.9229, prior_entropy: 1.4802, recall: 0.9229, relative_absolute_error: 0.1254, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.921, kappa: 0.872, kb_relative_information_score: 0.8788, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9215, predictive_accuracy: 0.921, prior_entropy: 1.4802, recall: 0.921, relative_absolute_error: 0.1284, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.5068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9228, kappa: 0.875, kb_relative_information_score: 0.8815, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9235, predictive_accuracy: 0.9229, prior_entropy: 1.4802, recall: 0.9229, relative_absolute_error: 0.1254, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.9228, kappa: 0.875, kb_relative_information_score: 0.8815, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9235, predictive_accuracy: 0.9229, prior_entropy: 1.4802, recall: 0.9229, relative_absolute_error: 0.1254, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.9228, kappa: 0.875, kb_relative_information_score: 0.8815, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9235, predictive_accuracy: 0.9229, prior_entropy: 1.4802, recall: 0.9229, relative_absolute_error: 0.1254, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.9209, kappa: 0.8717, kb_relative_information_score: 0.8781, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9215, predictive_accuracy: 0.921, prior_entropy: 1.4802, recall: 0.921, relative_absolute_error: 0.1284, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.5068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.9209, kappa: 0.8717, kb_relative_information_score: 0.8781, mean_absolute_error: 0.0527, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9215, predictive_accuracy: 0.921, prior_entropy: 1.4802, recall: 0.921, relative_absolute_error: 0.1284, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.5068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9225, kappa: 0.8744, kb_relative_information_score: 0.8809, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9231, predictive_accuracy: 0.9226, prior_entropy: 1.4802, recall: 0.9226, relative_absolute_error: 0.1259, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9228, kappa: 0.8748, kb_relative_information_score: 0.8811, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9233, predictive_accuracy: 0.9229, prior_entropy: 1.4802, recall: 0.9229, relative_absolute_error: 0.1254, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9225, kappa: 0.8744, kb_relative_information_score: 0.8809, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9231, predictive_accuracy: 0.9226, prior_entropy: 1.4802, recall: 0.9226, relative_absolute_error: 0.1259, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9228, kappa: 0.875, kb_relative_information_score: 0.8816, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9235, predictive_accuracy: 0.9229, prior_entropy: 1.4802, recall: 0.9229, relative_absolute_error: 0.1254, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.9228, kappa: 0.875, kb_relative_information_score: 0.8816, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9235, predictive_accuracy: 0.9229, prior_entropy: 1.4802, recall: 0.9229, relative_absolute_error: 0.1254, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.5008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.9225, kappa: 0.8745, kb_relative_information_score: 0.8811, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9232, predictive_accuracy: 0.9226, prior_entropy: 1.4802, recall: 0.9226, relative_absolute_error: 0.1259, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.9225, kappa: 0.8745, kb_relative_information_score: 0.8811, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9232, predictive_accuracy: 0.9226, prior_entropy: 1.4802, recall: 0.9226, relative_absolute_error: 0.1259, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.9201, kappa: 0.8705, kb_relative_information_score: 0.8776, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9205, predictive_accuracy: 0.9201, prior_entropy: 1.4802, recall: 0.9201, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.5098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.9201, kappa: 0.8705, kb_relative_information_score: 0.8776, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9205, predictive_accuracy: 0.9201, prior_entropy: 1.4802, recall: 0.9201, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.5098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9225, kappa: 0.8744, kb_relative_information_score: 0.881, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9231, predictive_accuracy: 0.9226, prior_entropy: 1.4802, recall: 0.9226, relative_absolute_error: 0.1259, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9225, kappa: 0.8744, kb_relative_information_score: 0.881, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9231, predictive_accuracy: 0.9226, prior_entropy: 1.4802, recall: 0.9226, relative_absolute_error: 0.1259, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.5018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.9231, kappa: 0.8755, kb_relative_information_score: 0.882, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9238, predictive_accuracy: 0.9232, prior_entropy: 1.4802, recall: 0.9232, relative_absolute_error: 0.1249, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.4997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.9231, kappa: 0.8755, kb_relative_information_score: 0.882, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9238, predictive_accuracy: 0.9232, prior_entropy: 1.4802, recall: 0.9232, relative_absolute_error: 0.1249, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.4997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.9213, kappa: 0.8726, kb_relative_information_score: 0.8796, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9219, predictive_accuracy: 0.9213, prior_entropy: 1.4802, recall: 0.9213, relative_absolute_error: 0.1279, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.229, root_relative_squared_error: 0.5058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.9194, kappa: 0.8693, kb_relative_information_score: 0.8763, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9198, predictive_accuracy: 0.9194, prior_entropy: 1.4802, recall: 0.9194, relative_absolute_error: 0.131, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.5118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.9213, kappa: 0.8726, kb_relative_information_score: 0.8796, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9219, predictive_accuracy: 0.9213, prior_entropy: 1.4802, recall: 0.9213, relative_absolute_error: 0.1279, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.229, root_relative_squared_error: 0.5058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.9231, kappa: 0.8755, kb_relative_information_score: 0.882, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9238, predictive_accuracy: 0.9232, prior_entropy: 1.4802, recall: 0.9232, relative_absolute_error: 0.1249, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.4997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.9231, kappa: 0.8755, kb_relative_information_score: 0.882, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9238, predictive_accuracy: 0.9232, prior_entropy: 1.4802, recall: 0.9232, relative_absolute_error: 0.1249, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.4997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.9237, kappa: 0.8764, kb_relative_information_score: 0.883, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9242, predictive_accuracy: 0.9238, prior_entropy: 1.4802, recall: 0.9238, relative_absolute_error: 0.1238, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.4977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.9237, kappa: 0.8764, kb_relative_information_score: 0.883, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9242, predictive_accuracy: 0.9238, prior_entropy: 1.4802, recall: 0.9238, relative_absolute_error: 0.1238, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.4977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.9198, kappa: 0.8701, kb_relative_information_score: 0.8772, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9203, predictive_accuracy: 0.9197, prior_entropy: 1.4802, recall: 0.9197, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.5108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.9219, kappa: 0.8734, kb_relative_information_score: 0.8801, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9225, predictive_accuracy: 0.9219, prior_entropy: 1.4802, recall: 0.9219, relative_absolute_error: 0.1269, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.5038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.9198, kappa: 0.8701, kb_relative_information_score: 0.8772, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9203, predictive_accuracy: 0.9197, prior_entropy: 1.4802, recall: 0.9197, relative_absolute_error: 0.1305, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.5108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.9201, kappa: 0.8706, kb_relative_information_score: 0.8777, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9206, predictive_accuracy: 0.9201, prior_entropy: 1.4802, recall: 0.9201, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.5098,

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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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