OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31670 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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31670 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.9625, kappa: 0.9082, kb_relative_information_score: 0.9005, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9625, prior_entropy: 0.863, recall: 0.9625, relative_absolute_error: 0.0918, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9458, f_measure: 0.9533, kappa: 0.8858, kb_relative_information_score: 0.8754, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9531, prior_entropy: 0.863, recall: 0.9531, relative_absolute_error: 0.1149, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2165, root_relative_squared_error: 0.4794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.9535, kappa: 0.8862, kb_relative_information_score: 0.8764, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9536, predictive_accuracy: 0.9535, prior_entropy: 0.863, recall: 0.9535, relative_absolute_error: 0.114, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.9657, kappa: 0.9157, kb_relative_information_score: 0.909, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9656, predictive_accuracy: 0.9657, prior_entropy: 0.863, recall: 0.9657, relative_absolute_error: 0.084, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.4098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, f_measure: 0.765, kappa: 0.4655, kb_relative_information_score: 0.3493, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.7951, predictive_accuracy: 0.7551, prior_entropy: 0.863, recall: 0.7551, relative_absolute_error: 0.6001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.0955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.9431, kappa: 0.8614, kb_relative_information_score: 0.8481, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9436, predictive_accuracy: 0.9428, prior_entropy: 0.863, recall: 0.9428, relative_absolute_error: 0.1401, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.5293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9481, f_measure: 0.9572, kappa: 0.8951, kb_relative_information_score: 0.8861, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9572, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.105, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.207, root_relative_squared_error: 0.4583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9525, f_measure: 0.9623, kappa: 0.9075, kb_relative_information_score: 0.8999, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9622, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.0923, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1941, root_relative_squared_error: 0.4296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.9188, kappa: 0.8031, kb_relative_information_score: 0.7824, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9203, predictive_accuracy: 0.9181, prior_entropy: 0.863, recall: 0.9181, relative_absolute_error: 0.2007, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2862, root_relative_squared_error: 0.6336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.9556, kappa: 0.8912, kb_relative_information_score: 0.882, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9556, predictive_accuracy: 0.9556, prior_entropy: 0.863, recall: 0.9556, relative_absolute_error: 0.1088, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2107, root_relative_squared_error: 0.4664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.943, kappa: 0.861, kb_relative_information_score: 0.8478, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9435, predictive_accuracy: 0.9427, prior_entropy: 0.863, recall: 0.9427, relative_absolute_error: 0.1404, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.5298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.9635, kappa: 0.9102, kb_relative_information_score: 0.9035, mean_absolute_error: 0.0363, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9635, predictive_accuracy: 0.9637, prior_entropy: 0.863, recall: 0.9637, relative_absolute_error: 0.089, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.825, kappa: 0.5995, kb_relative_information_score: 0.5165, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8512, predictive_accuracy: 0.818, prior_entropy: 0.863, recall: 0.818, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.9444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9584, kappa: 0.8979, kb_relative_information_score: 0.8894, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9583, predictive_accuracy: 0.9584, prior_entropy: 0.863, recall: 0.9584, relative_absolute_error: 0.102, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.204, root_relative_squared_error: 0.4516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.9624, kappa: 0.9078, kb_relative_information_score: 0.9004, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9624, predictive_accuracy: 0.9625, prior_entropy: 0.863, recall: 0.9625, relative_absolute_error: 0.0919, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.4286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8541, f_measure: 0.8662, kappa: 0.6795, kb_relative_information_score: 0.6377, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8717, predictive_accuracy: 0.8637, prior_entropy: 0.863, recall: 0.8637, relative_absolute_error: 0.3341, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3692, root_relative_squared_error: 0.8174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.9459, kappa: 0.868, kb_relative_information_score: 0.8555, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9463, predictive_accuracy: 0.9456, prior_entropy: 0.863, recall: 0.9456, relative_absolute_error: 0.1332, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.5162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.9602, kappa: 0.9025, kb_relative_information_score: 0.8943, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9602, predictive_accuracy: 0.9602, prior_entropy: 0.863, recall: 0.9602, relative_absolute_error: 0.0975, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.4415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9136, f_measure: 0.9269, kappa: 0.8216, kb_relative_information_score: 0.8052, mean_absolute_error: 0.0733, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9273, predictive_accuracy: 0.9267, prior_entropy: 0.863, recall: 0.9267, relative_absolute_error: 0.1797, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.5995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.9463, kappa: 0.8695, kb_relative_information_score: 0.8565, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9471, predictive_accuracy: 0.946, prior_entropy: 0.863, recall: 0.946, relative_absolute_error: 0.1324, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.5146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9536, f_measure: 0.9647, kappa: 0.9131, kb_relative_information_score: 0.9064, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9648, prior_entropy: 0.863, recall: 0.9648, relative_absolute_error: 0.0863, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.4155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9645, kappa: 0.9129, kb_relative_information_score: 0.9059, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9645, predictive_accuracy: 0.9646, prior_entropy: 0.863, recall: 0.9646, relative_absolute_error: 0.0867, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.4165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.8807, kappa: 0.715, kb_relative_information_score: 0.6767, mean_absolute_error: 0.1217, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8868, predictive_accuracy: 0.8783, prior_entropy: 0.863, recall: 0.8783, relative_absolute_error: 0.2982, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3488, root_relative_squared_error: 0.7723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.9625, kappa: 0.908, kb_relative_information_score: 0.9005, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9626, prior_entropy: 0.863, recall: 0.9626, relative_absolute_error: 0.0917, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.951, kappa: 0.88, kb_relative_information_score: 0.8695, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9511, predictive_accuracy: 0.9509, prior_entropy: 0.863, recall: 0.9509, relative_absolute_error: 0.1204, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.4907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.9418, kappa: 0.8563, kb_relative_information_score: 0.8467, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9419, predictive_accuracy: 0.9423, prior_entropy: 0.863, recall: 0.9423, relative_absolute_error: 0.1413, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2402, root_relative_squared_error: 0.5317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.964, kappa: 0.9115, kb_relative_information_score: 0.9044, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9639, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.0882, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.4199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9684, kappa: 0.9226, kb_relative_information_score: 0.8817, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9684, predictive_accuracy: 0.9684, prior_entropy: 0.863, recall: 0.9684, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.3428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9434, kappa: 0.8604, kb_relative_information_score: 0.7533, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9433, predictive_accuracy: 0.9437, prior_entropy: 0.863, recall: 0.9437, relative_absolute_error: 0.2661, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.4587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9728, kappa: 0.9333, kb_relative_information_score: 0.9056, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9728, predictive_accuracy: 0.9728, prior_entropy: 0.863, recall: 0.9728, relative_absolute_error: 0.0962, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.3153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9445, kappa: 0.8632, kb_relative_information_score: 0.7625, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9444, predictive_accuracy: 0.9448, prior_entropy: 0.863, recall: 0.9448, relative_absolute_error: 0.255, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.969, kappa: 0.924, kb_relative_information_score: 0.8839, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.1195, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.3423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9694, kappa: 0.9249, kb_relative_information_score: 0.8865, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9694, predictive_accuracy: 0.9694, prior_entropy: 0.863, recall: 0.9694, relative_absolute_error: 0.1186, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.3332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9731, kappa: 0.9341, kb_relative_information_score: 0.9094, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9731, predictive_accuracy: 0.9732, prior_entropy: 0.863, recall: 0.9732, relative_absolute_error: 0.0912, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.3175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9731, kappa: 0.9341, kb_relative_information_score: 0.9094, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9731, predictive_accuracy: 0.9732, prior_entropy: 0.863, recall: 0.9732, relative_absolute_error: 0.0912, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.3175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9747, kappa: 0.9379, kb_relative_information_score: 0.9171, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9747, predictive_accuracy: 0.9747, prior_entropy: 0.863, recall: 0.9747, relative_absolute_error: 0.0826, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9747, kappa: 0.9379, kb_relative_information_score: 0.9171, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9747, predictive_accuracy: 0.9747, prior_entropy: 0.863, recall: 0.9747, relative_absolute_error: 0.0826, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9598, kappa: 0.9014, kb_relative_information_score: 0.8514, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9598, predictive_accuracy: 0.9598, prior_entropy: 0.863, recall: 0.9598, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9598, kappa: 0.9014, kb_relative_information_score: 0.8514, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9598, predictive_accuracy: 0.9598, prior_entropy: 0.863, recall: 0.9598, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9747, kappa: 0.9379, kb_relative_information_score: 0.919, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9747, predictive_accuracy: 0.9747, prior_entropy: 0.863, recall: 0.9747, relative_absolute_error: 0.0804, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.3096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9747, kappa: 0.9379, kb_relative_information_score: 0.919, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9747, predictive_accuracy: 0.9747, prior_entropy: 0.863, recall: 0.9747, relative_absolute_error: 0.0804, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.3096,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9705, kappa: 0.9276, kb_relative_information_score: 0.8904, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9705, predictive_accuracy: 0.9705, prior_entropy: 0.863, recall: 0.9705, relative_absolute_error: 0.1132, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9705, kappa: 0.9276, kb_relative_information_score: 0.8904, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9705, predictive_accuracy: 0.9705, prior_entropy: 0.863, recall: 0.9705, relative_absolute_error: 0.1132, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7423, f_measure: 0.7925, kappa: 0.5278, kb_relative_information_score: 0.4144, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.822, predictive_accuracy: 0.7839, prior_entropy: 0.863, recall: 0.7839, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4594, root_relative_squared_error: 1.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7423, f_measure: 0.7925, kappa: 0.5278, kb_relative_information_score: 0.4144, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.822, predictive_accuracy: 0.7839, prior_entropy: 0.863, recall: 0.7839, relative_absolute_error: 0.5438, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4594, root_relative_squared_error: 1.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9625, kappa: 0.9081, kb_relative_information_score: 0.8778, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9625, prior_entropy: 0.863, recall: 0.9625, relative_absolute_error: 0.1213, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, f_measure: 0.9625, kappa: 0.9081, kb_relative_information_score: 0.8778, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9625, predictive_accuracy: 0.9625, prior_entropy: 0.863, recall: 0.9625, relative_absolute_error: 0.1213, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.3744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9711, kappa: 0.9291, kb_relative_information_score: 0.8934, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9711, predictive_accuracy: 0.9711, prior_entropy: 0.863, recall: 0.9711, relative_absolute_error: 0.1102, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.3256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9711, kappa: 0.9291, kb_relative_information_score: 0.8934, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9711, predictive_accuracy: 0.9711, prior_entropy: 0.863, recall: 0.9711, relative_absolute_error: 0.1102, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1471, root_relative_squared_error: 0.3256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.972, kappa: 0.9313, kb_relative_information_score: 0.9207, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.972, predictive_accuracy: 0.972, prior_entropy: 0.863, recall: 0.972, relative_absolute_error: 0.0753, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.3319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.972, kappa: 0.9313, kb_relative_information_score: 0.9207, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.972, predictive_accuracy: 0.972, prior_entropy: 0.863, recall: 0.972, relative_absolute_error: 0.0753, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.3319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9748, kappa: 0.9381, kb_relative_information_score: 0.9317, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9748, predictive_accuracy: 0.9748, prior_entropy: 0.863, recall: 0.9748, relative_absolute_error: 0.064, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9748, kappa: 0.9381, kb_relative_information_score: 0.9317, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9748, predictive_accuracy: 0.9748, prior_entropy: 0.863, recall: 0.9748, relative_absolute_error: 0.064, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9743, kappa: 0.9369, kb_relative_information_score: 0.9171, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9742, predictive_accuracy: 0.9743, prior_entropy: 0.863, recall: 0.9743, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.3083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9743, kappa: 0.9369, kb_relative_information_score: 0.9171, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9742, predictive_accuracy: 0.9743, prior_entropy: 0.863, recall: 0.9743, relative_absolute_error: 0.0827, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.3083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9692, kappa: 0.9244, kb_relative_information_score: 0.9062, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9692, predictive_accuracy: 0.9692, prior_entropy: 0.863, recall: 0.9692, relative_absolute_error: 0.0911, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.3464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9692, kappa: 0.9244, kb_relative_information_score: 0.9062, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9692, predictive_accuracy: 0.9692, prior_entropy: 0.863, recall: 0.9692, relative_absolute_error: 0.0911, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.3464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9702, kappa: 0.927, kb_relative_information_score: 0.8898, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9702, predictive_accuracy: 0.9702, prior_entropy: 0.863, recall: 0.9702, relative_absolute_error: 0.1143, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.3306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9702, kappa: 0.927, kb_relative_information_score: 0.8898, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9702, predictive_accuracy: 0.9702, prior_entropy: 0.863, recall: 0.9702, relative_absolute_error: 0.1143, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.3306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7014, f_measure: 0.7371, kappa: 0.3788, kb_relative_information_score: 0.2817, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.7497, predictive_accuracy: 0.73, prior_entropy: 0.863, recall: 0.73, relative_absolute_error: 0.6626, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.5192, root_relative_squared_error: 1.1493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7014, f_measure: 0.7371, kappa: 0.3788, kb_relative_information_score: 0.2817, mean_absolute_error: 0.2704, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.7497, predictive_accuracy: 0.73, prior_entropy: 0.863, recall: 0.73, relative_absolute_error: 0.6626, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.5192, root_relative_squared_error: 1.1493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9718, kappa: 0.9308, kb_relative_information_score: 0.8993, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9718, predictive_accuracy: 0.9718, prior_entropy: 0.863, recall: 0.9718, relative_absolute_error: 0.1036, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.3207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9718, kappa: 0.9308, kb_relative_information_score: 0.8993, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9718, predictive_accuracy: 0.9718, prior_entropy: 0.863, recall: 0.9718, relative_absolute_error: 0.1036, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.3207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9594, kappa: 0.9006, kb_relative_information_score: 0.86, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.1411, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.3877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9594, kappa: 0.9006, kb_relative_information_score: 0.86, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9594, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.1411, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.3877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9739, kappa: 0.936, kb_relative_information_score: 0.9182, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9739, predictive_accuracy: 0.9739, prior_entropy: 0.863, recall: 0.9739, relative_absolute_error: 0.0807, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.142, root_relative_squared_error: 0.3144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.971, kappa: 0.9288, kb_relative_information_score: 0.918, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.971, predictive_accuracy: 0.971, prior_entropy: 0.863, recall: 0.971, relative_absolute_error: 0.0777, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.3412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9739, kappa: 0.936, kb_relative_information_score: 0.9182, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9739, predictive_accuracy: 0.9739, prior_entropy: 0.863, recall: 0.9739, relative_absolute_error: 0.0807, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.142, root_relative_squared_error: 0.3144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9296, kappa: 0.8254, kb_relative_information_score: 0.6603, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9302, predictive_accuracy: 0.9307, prior_entropy: 0.863, recall: 0.9307, relative_absolute_error: 0.3779, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.5162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9296, kappa: 0.8254, kb_relative_information_score: 0.6603, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9302, predictive_accuracy: 0.9307, prior_entropy: 0.863, recall: 0.9307, relative_absolute_error: 0.3779, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.5162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9734, kappa: 0.9349, kb_relative_information_score: 0.9215, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9734, predictive_accuracy: 0.9735, prior_entropy: 0.863, recall: 0.9735, relative_absolute_error: 0.0754, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.3212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9683, kappa: 0.9223, kb_relative_information_score: 0.8812, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9683, predictive_accuracy: 0.9683, prior_entropy: 0.863, recall: 0.9683, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.3398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9478, kappa: 0.8713, kb_relative_information_score: 0.713, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9479, predictive_accuracy: 0.9482, prior_entropy: 0.863, recall: 0.9482, relative_absolute_error: 0.3274, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9734, kappa: 0.9349, kb_relative_information_score: 0.9215, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9734, predictive_accuracy: 0.9735, prior_entropy: 0.863, recall: 0.9735, relative_absolute_error: 0.0754, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1451, root_relative_squared_error: 0.3212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9755, kappa: 0.9398, kb_relative_information_score: 0.9265, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9755, predictive_accuracy: 0.9755, prior_entropy: 0.863, recall: 0.9755, relative_absolute_error: 0.0709, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9632, kappa: 0.9099, kb_relative_information_score: 0.8561, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9632, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.1494, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1676, root_relative_squared_error: 0.3709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5229, f_measure: 0.6076, kappa: 0.1445, kb_relative_information_score: -0.1042, mean_absolute_error: 0.4171, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.6594, predictive_accuracy: 0.5881, prior_entropy: 0.863, recall: 0.5881, relative_absolute_error: 1.022, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.6398, root_relative_squared_error: 1.4163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9755, kappa: 0.9398, kb_relative_information_score: 0.9265, mean_absolute_error: 0.0289, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9755, predictive_accuracy: 0.9755, prior_entropy: 0.863, recall: 0.9755, relative_absolute_error: 0.0709, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9704, kappa: 0.9273, kb_relative_information_score: 0.8999, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9703, predictive_accuracy: 0.9704, prior_entropy: 0.863, recall: 0.9704, relative_absolute_error: 0.1008, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1501, root_relative_squared_error: 0.3322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9704, kappa: 0.9273, kb_relative_information_score: 0.8999, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9703, predictive_accuracy: 0.9704, prior_entropy: 0.863, recall: 0.9704, relative_absolute_error: 0.1008, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1501, root_relative_squared_error: 0.3322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9759, kappa: 0.9409, kb_relative_information_score: 0.9323, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9759, predictive_accuracy: 0.9759, prior_entropy: 0.863, recall: 0.9759, relative_absolute_error: 0.0641, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.3153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9759, kappa: 0.9409, kb_relative_information_score: 0.9323, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9759, predictive_accuracy: 0.9759, prior_entropy: 0.863, recall: 0.9759, relative_absolute_error: 0.0641, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.3153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9711, kappa: 0.9292, kb_relative_information_score: 0.9013, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9711, predictive_accuracy: 0.9712, prior_entropy: 0.863, recall: 0.9712, relative_absolute_error: 0.1002, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.147, root_relative_squared_error: 0.3254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9711, kappa: 0.9292, kb_relative_information_score: 0.9013, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9711, predictive_accuracy: 0.9712, prior_entropy: 0.863, recall: 0.9712, relative_absolute_error: 0.1002, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.147, root_relative_squared_error: 0.3254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.972, kappa: 0.9313, kb_relative_information_score: 0.8991, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.972, predictive_accuracy: 0.972, prior_entropy: 0.863, recall: 0.972, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.3208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.972, kappa: 0.9313, kb_relative_information_score: 0.8991, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.972, predictive_accuracy: 0.972, prior_entropy: 0.863, recall: 0.972, relative_absolute_error: 0.1037, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.3208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9552, kappa: 0.8901, kb_relative_information_score: 0.8609, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9553, prior_entropy: 0.863, recall: 0.9553, relative_absolute_error: 0.1356, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.4224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.9552, kappa: 0.8901, kb_relative_information_score: 0.8609, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9552, predictive_accuracy: 0.9553, prior_entropy: 0.863, recall: 0.9553, relative_absolute_error: 0.1356, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.4224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9675, kappa: 0.9203, kb_relative_information_score: 0.8773, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9675, predictive_accuracy: 0.9675, prior_entropy: 0.863, recall: 0.9675, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.3465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9675, kappa: 0.9203, kb_relative_information_score: 0.8773, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9675, predictive_accuracy: 0.9675, prior_entropy: 0.863, recall: 0.9675, relative_absolute_error: 0.1268, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1565, root_relative_squared_error: 0.3465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9725, kappa: 0.9325, kb_relative_information_score: 0.9248, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9725, predictive_accuracy: 0.9725, prior_entropy: 0.863, recall: 0.9725, relative_absolute_error: 0.0705, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.3375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9725, kappa: 0.9325, kb_relative_information_score: 0.9248, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9725, predictive_accuracy: 0.9725, prior_entropy: 0.863, recall: 0.9725, relative_absolute_error: 0.0705, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.3375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9689, kappa: 0.9239, kb_relative_information_score: 0.8841, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9689, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.1205, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9689, kappa: 0.9239, kb_relative_information_score: 0.8841, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9689, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.1205, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9696, kappa: 0.9256, kb_relative_information_score: 0.8851, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9696, predictive_accuracy: 0.9697, prior_entropy: 0.863, recall: 0.9697, relative_absolute_error: 0.1198, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.3338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9696, kappa: 0.9256, kb_relative_information_score: 0.8851, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9696, predictive_accuracy: 0.9697, prior_entropy: 0.863, recall: 0.9697, relative_absolute_error: 0.1198, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1508, root_relative_squared_error: 0.3338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9465, kappa: 0.869, kb_relative_information_score: 0.8083, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9465, predictive_accuracy: 0.9466, prior_entropy: 0.863, recall: 0.9466, relative_absolute_error: 0.1966, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.4429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9465, kappa: 0.869, kb_relative_information_score: 0.8083, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9465, predictive_accuracy: 0.9466, prior_entropy: 0.863, recall: 0.9466, relative_absolute_error: 0.1966, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.4429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9692, kappa: 0.9245, kb_relative_information_score: 0.8883, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9692, predictive_accuracy: 0.9692, prior_entropy: 0.863, recall: 0.9692, relative_absolute_error: 0.1145, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.3393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9692, kappa: 0.9245, kb_relative_information_score: 0.8883, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9692, predictive_accuracy: 0.9692, prior_entropy: 0.863, recall: 0.9692, relative_absolute_error: 0.1145, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.3393,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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

OpenML APIs