OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31675 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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31675 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9696, kappa: 0.9254, kb_relative_information_score: 0.915, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9696, predictive_accuracy: 0.9696, prior_entropy: 0.863, recall: 0.9696, relative_absolute_error: 0.08, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.3559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9753, kappa: 0.9393, kb_relative_information_score: 0.9185, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9752, predictive_accuracy: 0.9753, prior_entropy: 0.863, recall: 0.9753, relative_absolute_error: 0.0814, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1385, root_relative_squared_error: 0.3067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9753, kappa: 0.9393, kb_relative_information_score: 0.9185, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9752, predictive_accuracy: 0.9753, prior_entropy: 0.863, recall: 0.9753, relative_absolute_error: 0.0814, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1385, root_relative_squared_error: 0.3067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9258, kappa: 0.8154, kb_relative_information_score: 0.6694, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9265, predictive_accuracy: 0.927, prior_entropy: 0.863, recall: 0.927, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.5126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9258, kappa: 0.8154, kb_relative_information_score: 0.6694, mean_absolute_error: 0.1496, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9265, predictive_accuracy: 0.927, prior_entropy: 0.863, recall: 0.927, relative_absolute_error: 0.3666, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.5126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5887, kappa: -0.0001, kb_relative_information_score: -0.1007, mean_absolute_error: 0.4143, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5919, predictive_accuracy: 0.5857, prior_entropy: 0.863, recall: 0.5857, relative_absolute_error: 1.0152, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.6436, root_relative_squared_error: 1.4249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.5887, kappa: -0.0001, kb_relative_information_score: -0.1007, mean_absolute_error: 0.4143, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5919, predictive_accuracy: 0.5857, prior_entropy: 0.863, recall: 0.5857, relative_absolute_error: 1.0152, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.6436, root_relative_squared_error: 1.4249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9655, kappa: 0.9155, kb_relative_information_score: 0.8664, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9655, predictive_accuracy: 0.9655, prior_entropy: 0.863, recall: 0.9655, relative_absolute_error: 0.139, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9655, kappa: 0.9155, kb_relative_information_score: 0.8664, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9655, predictive_accuracy: 0.9655, prior_entropy: 0.863, recall: 0.9655, relative_absolute_error: 0.139, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9106, kappa: 0.7747, kb_relative_information_score: 0.4637, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.917, predictive_accuracy: 0.9141, prior_entropy: 0.863, recall: 0.9141, relative_absolute_error: 0.6027, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2939, root_relative_squared_error: 0.6507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9707, kappa: 0.9281, kb_relative_information_score: 0.9183, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9707, predictive_accuracy: 0.9708, prior_entropy: 0.863, recall: 0.9708, relative_absolute_error: 0.0769, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.3505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9707, kappa: 0.9281, kb_relative_information_score: 0.9183, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9707, predictive_accuracy: 0.9708, prior_entropy: 0.863, recall: 0.9708, relative_absolute_error: 0.0769, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.3505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9666, kappa: 0.9181, kb_relative_information_score: 0.8722, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9666, predictive_accuracy: 0.9666, prior_entropy: 0.863, recall: 0.9666, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.3507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9666, kappa: 0.9181, kb_relative_information_score: 0.8722, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9666, predictive_accuracy: 0.9666, prior_entropy: 0.863, recall: 0.9666, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.3507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9714, kappa: 0.9297, kb_relative_information_score: 0.9168, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9713, predictive_accuracy: 0.9714, prior_entropy: 0.863, recall: 0.9714, relative_absolute_error: 0.0798, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9714, kappa: 0.9297, kb_relative_information_score: 0.9168, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9713, predictive_accuracy: 0.9714, prior_entropy: 0.863, recall: 0.9714, relative_absolute_error: 0.0798, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9408, kappa: 0.8539, kb_relative_information_score: 0.7254, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9407, predictive_accuracy: 0.9412, prior_entropy: 0.863, recall: 0.9412, relative_absolute_error: 0.2997, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9408, kappa: 0.8539, kb_relative_information_score: 0.7254, mean_absolute_error: 0.1223, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9407, predictive_accuracy: 0.9412, prior_entropy: 0.863, recall: 0.9412, relative_absolute_error: 0.2997, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.4722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.9321, kappa: 0.8329, kb_relative_information_score: 0.8106, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9319, predictive_accuracy: 0.9323, prior_entropy: 0.863, recall: 0.9323, relative_absolute_error: 0.1781, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.5516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.9321, kappa: 0.8329, kb_relative_information_score: 0.8106, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9319, predictive_accuracy: 0.9323, prior_entropy: 0.863, recall: 0.9323, relative_absolute_error: 0.1781, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.5516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9726, kappa: 0.9328, kb_relative_information_score: 0.91, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9726, predictive_accuracy: 0.9726, prior_entropy: 0.863, recall: 0.9726, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.3221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9726, kappa: 0.9328, kb_relative_information_score: 0.91, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9726, predictive_accuracy: 0.9726, prior_entropy: 0.863, recall: 0.9726, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.3221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9327, kappa: 0.8346, kb_relative_information_score: 0.7486, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9326, predictive_accuracy: 0.9329, prior_entropy: 0.863, recall: 0.9329, relative_absolute_error: 0.2639, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.4897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9327, kappa: 0.8346, kb_relative_information_score: 0.7486, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9326, predictive_accuracy: 0.9329, prior_entropy: 0.863, recall: 0.9329, relative_absolute_error: 0.2639, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.4897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.972, kappa: 0.9313, kb_relative_information_score: 0.901, mean_absolute_error: 0.0413, 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: 0.1013, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1447, root_relative_squared_error: 0.3203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.972, kappa: 0.9313, kb_relative_information_score: 0.901, mean_absolute_error: 0.0413, 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: 0.1013, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1447, root_relative_squared_error: 0.3203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9739, kappa: 0.9361, kb_relative_information_score: 0.9249, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9739, predictive_accuracy: 0.974, prior_entropy: 0.863, recall: 0.974, relative_absolute_error: 0.0716, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.3225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9739, kappa: 0.9361, kb_relative_information_score: 0.9249, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9739, predictive_accuracy: 0.974, prior_entropy: 0.863, recall: 0.974, relative_absolute_error: 0.0716, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1457, root_relative_squared_error: 0.3225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9722, kappa: 0.9317, kb_relative_information_score: 0.9013, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9721, predictive_accuracy: 0.9722, prior_entropy: 0.863, recall: 0.9722, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1447, root_relative_squared_error: 0.3204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9722, kappa: 0.9317, kb_relative_information_score: 0.9013, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9721, predictive_accuracy: 0.9722, prior_entropy: 0.863, recall: 0.9722, relative_absolute_error: 0.1009, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1447, root_relative_squared_error: 0.3204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9748, kappa: 0.9381, kb_relative_information_score: 0.924, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9747, predictive_accuracy: 0.9748, prior_entropy: 0.863, recall: 0.9748, relative_absolute_error: 0.0737, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9748, kappa: 0.9381, kb_relative_information_score: 0.924, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9747, predictive_accuracy: 0.9748, prior_entropy: 0.863, recall: 0.9748, relative_absolute_error: 0.0737, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.3131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6064, kappa: 0, kb_relative_information_score: 0.0133, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5919, predictive_accuracy: 0.6286, prior_entropy: 0.863, recall: 0.6286, relative_absolute_error: 0.91, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.6094, root_relative_squared_error: 1.3491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6064, kappa: 0, kb_relative_information_score: 0.0133, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5919, predictive_accuracy: 0.6286, prior_entropy: 0.863, recall: 0.6286, relative_absolute_error: 0.91, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.6094, root_relative_squared_error: 1.3491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.966, kappa: 0.9168, kb_relative_information_score: 0.8731, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.966, predictive_accuracy: 0.966, prior_entropy: 0.863, recall: 0.966, relative_absolute_error: 0.131, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.3539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.966, kappa: 0.9168, kb_relative_information_score: 0.8731, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.966, predictive_accuracy: 0.966, prior_entropy: 0.863, recall: 0.966, relative_absolute_error: 0.131, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.3539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9691, kappa: 0.9242, kb_relative_information_score: 0.8829, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9691, predictive_accuracy: 0.9691, prior_entropy: 0.863, recall: 0.9691, relative_absolute_error: 0.1209, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.3395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9691, kappa: 0.9242, kb_relative_information_score: 0.8829, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9691, predictive_accuracy: 0.9691, prior_entropy: 0.863, recall: 0.9691, relative_absolute_error: 0.1209, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.3395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9646, kappa: 0.9133, kb_relative_information_score: 0.8559, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9647, prior_entropy: 0.863, recall: 0.9647, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9646, kappa: 0.9133, kb_relative_information_score: 0.8559, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9647, prior_entropy: 0.863, recall: 0.9647, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.7649, kappa: 0.4637, kb_relative_information_score: 0.3486, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.7935, predictive_accuracy: 0.7551, prior_entropy: 0.863, recall: 0.7551, relative_absolute_error: 0.6011, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.0929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.7649, kappa: 0.4637, kb_relative_information_score: 0.3486, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.7935, predictive_accuracy: 0.7551, prior_entropy: 0.863, recall: 0.7551, relative_absolute_error: 0.6011, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4937, root_relative_squared_error: 1.0929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6113, kappa: -0, kb_relative_information_score: 0.1271, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5919, predictive_accuracy: 0.6715, prior_entropy: 0.863, recall: 0.6715, relative_absolute_error: 0.805, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6113, kappa: -0, kb_relative_information_score: 0.1271, mean_absolute_error: 0.3285, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5919, predictive_accuracy: 0.6715, prior_entropy: 0.863, recall: 0.6715, relative_absolute_error: 0.805, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9757, kappa: 0.9404, kb_relative_information_score: 0.9309, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9757, predictive_accuracy: 0.9757, prior_entropy: 0.863, recall: 0.9757, relative_absolute_error: 0.0656, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.3129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9757, kappa: 0.9404, kb_relative_information_score: 0.9309, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9757, predictive_accuracy: 0.9757, prior_entropy: 0.863, recall: 0.9757, relative_absolute_error: 0.0656, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.3129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9438, kappa: 0.8621, kb_relative_information_score: 0.7649, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9437, predictive_accuracy: 0.9439, prior_entropy: 0.863, recall: 0.9439, relative_absolute_error: 0.2512, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.4522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9438, kappa: 0.8621, kb_relative_information_score: 0.7649, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9437, predictive_accuracy: 0.9439, prior_entropy: 0.863, recall: 0.9439, relative_absolute_error: 0.2512, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2043, root_relative_squared_error: 0.4522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9467, kappa: 0.8694, kb_relative_information_score: 0.8102, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 0.863, recall: 0.9467, relative_absolute_error: 0.1943, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9467, kappa: 0.8694, kb_relative_information_score: 0.8102, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9467, predictive_accuracy: 0.9467, prior_entropy: 0.863, recall: 0.9467, relative_absolute_error: 0.1943, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.976, kappa: 0.9411, kb_relative_information_score: 0.933, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.976, predictive_accuracy: 0.976, prior_entropy: 0.863, recall: 0.976, relative_absolute_error: 0.0633, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.3155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.976, kappa: 0.9411, kb_relative_information_score: 0.933, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.976, predictive_accuracy: 0.976, prior_entropy: 0.863, recall: 0.976, relative_absolute_error: 0.0633, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.3155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9433, kappa: 0.8612, kb_relative_information_score: 0.8216, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9434, predictive_accuracy: 0.9433, prior_entropy: 0.863, recall: 0.9433, relative_absolute_error: 0.1757, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.9433, kappa: 0.8612, kb_relative_information_score: 0.8216, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9434, predictive_accuracy: 0.9433, prior_entropy: 0.863, recall: 0.9433, relative_absolute_error: 0.1757, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9465, kappa: 0.869, kb_relative_information_score: 0.8305, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9465, predictive_accuracy: 0.9465, prior_entropy: 0.863, recall: 0.9465, relative_absolute_error: 0.1667, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.4506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9465, kappa: 0.869, kb_relative_information_score: 0.8305, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9465, predictive_accuracy: 0.9465, prior_entropy: 0.863, recall: 0.9465, relative_absolute_error: 0.1667, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.4506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9562, kappa: 0.8926, kb_relative_information_score: 0.8647, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9561, prior_entropy: 0.863, recall: 0.9561, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.4153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9562, kappa: 0.8926, kb_relative_information_score: 0.8647, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9562, predictive_accuracy: 0.9561, prior_entropy: 0.863, recall: 0.9561, relative_absolute_error: 0.1318, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.4153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9246, kappa: 0.8123, kb_relative_information_score: 0.6338, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9255, predictive_accuracy: 0.9259, prior_entropy: 0.863, recall: 0.9259, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.5348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9246, kappa: 0.8123, kb_relative_information_score: 0.6338, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9255, predictive_accuracy: 0.9259, prior_entropy: 0.863, recall: 0.9259, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2416, root_relative_squared_error: 0.5348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9753, kappa: 0.9394, kb_relative_information_score: 0.9225, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9753, predictive_accuracy: 0.9753, prior_entropy: 0.863, recall: 0.9753, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1385, root_relative_squared_error: 0.3067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9753, kappa: 0.9394, kb_relative_information_score: 0.9225, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9753, predictive_accuracy: 0.9753, prior_entropy: 0.863, recall: 0.9753, relative_absolute_error: 0.0763, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1385, root_relative_squared_error: 0.3067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9732, kappa: 0.9342, kb_relative_information_score: 0.9034, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9732, predictive_accuracy: 0.9732, prior_entropy: 0.863, recall: 0.9732, relative_absolute_error: 0.0989, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.3159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9732, kappa: 0.9342, kb_relative_information_score: 0.9034, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9732, predictive_accuracy: 0.9732, prior_entropy: 0.863, recall: 0.9732, relative_absolute_error: 0.0989, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.3159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9746, kappa: 0.9377, kb_relative_information_score: 0.9253, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9746, predictive_accuracy: 0.9746, prior_entropy: 0.863, recall: 0.9746, relative_absolute_error: 0.0719, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.3161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9746, kappa: 0.9377, kb_relative_information_score: 0.9253, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9746, predictive_accuracy: 0.9746, prior_entropy: 0.863, recall: 0.9746, relative_absolute_error: 0.0719, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.3161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9715, kappa: 0.9301, kb_relative_information_score: 0.8948, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9715, predictive_accuracy: 0.9715, prior_entropy: 0.863, recall: 0.9715, relative_absolute_error: 0.1083, 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: 0.9715, kappa: 0.9301, kb_relative_information_score: 0.8948, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9715, predictive_accuracy: 0.9715, prior_entropy: 0.863, recall: 0.9715, relative_absolute_error: 0.1083, 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: 0.9933, f_measure: 0.9643, kappa: 0.9126, kb_relative_information_score: 0.8781, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9643, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.1229, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.3597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9643, kappa: 0.9126, kb_relative_information_score: 0.8781, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9643, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.1229, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.3597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9501, kappa: 0.8773, kb_relative_information_score: 0.7883, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.95, predictive_accuracy: 0.9502, prior_entropy: 0.863, recall: 0.9502, relative_absolute_error: 0.2265, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.195, root_relative_squared_error: 0.4317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9618, kappa: 0.9063, kb_relative_information_score: 0.8756, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9618, predictive_accuracy: 0.9618, prior_entropy: 0.863, recall: 0.9618, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.3776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9501, kappa: 0.8773, kb_relative_information_score: 0.7883, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.95, predictive_accuracy: 0.9502, prior_entropy: 0.863, recall: 0.9502, relative_absolute_error: 0.2265, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.195, root_relative_squared_error: 0.4317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9641, kappa: 0.912, kb_relative_information_score: 0.8626, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9641, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.1429, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9641, kappa: 0.912, kb_relative_information_score: 0.8626, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9641, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.1429, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9676, kappa: 0.9207, kb_relative_information_score: 0.8787, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9676, predictive_accuracy: 0.9676, prior_entropy: 0.863, recall: 0.9676, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.3437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9676, kappa: 0.9207, kb_relative_information_score: 0.8787, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9676, predictive_accuracy: 0.9676, prior_entropy: 0.863, recall: 0.9676, relative_absolute_error: 0.126, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1553, root_relative_squared_error: 0.3437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5908, f_measure: 0.6544, kappa: 0.2016, kb_relative_information_score: 0.0461, mean_absolute_error: 0.3592, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.678, predictive_accuracy: 0.6415, prior_entropy: 0.863, recall: 0.6415, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.5973, root_relative_squared_error: 1.3224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5908, f_measure: 0.6544, kappa: 0.2016, kb_relative_information_score: 0.0461, mean_absolute_error: 0.3592, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.678, predictive_accuracy: 0.6415, prior_entropy: 0.863, recall: 0.6415, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.5973, root_relative_squared_error: 1.3224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9741, kappa: 0.9364, kb_relative_information_score: 0.9249, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.974, predictive_accuracy: 0.9741, prior_entropy: 0.863, recall: 0.9741, relative_absolute_error: 0.0722, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.3176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9741, kappa: 0.9364, kb_relative_information_score: 0.9249, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.974, predictive_accuracy: 0.9741, prior_entropy: 0.863, recall: 0.9741, relative_absolute_error: 0.0722, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.3176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9491, kappa: 0.8751, kb_relative_information_score: 0.7819, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.949, predictive_accuracy: 0.9492, prior_entropy: 0.863, recall: 0.9492, relative_absolute_error: 0.235, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.4335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9491, kappa: 0.8751, kb_relative_information_score: 0.7819, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.949, predictive_accuracy: 0.9492, prior_entropy: 0.863, recall: 0.9492, relative_absolute_error: 0.235, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1958, root_relative_squared_error: 0.4335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9696, kappa: 0.9255, kb_relative_information_score: 0.8868, mean_absolute_error: 0.0476, 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: 0.1166, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9696, kappa: 0.9255, kb_relative_information_score: 0.8868, mean_absolute_error: 0.0476, 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: 0.1166, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9644, kappa: 0.9126, kb_relative_information_score: 0.8781, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9644, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.1237, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.3593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9644, kappa: 0.9126, kb_relative_information_score: 0.8781, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9644, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.1237, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1623, root_relative_squared_error: 0.3593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9463, kappa: 0.8687, kb_relative_information_score: 0.8108, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9464, predictive_accuracy: 0.9463, prior_entropy: 0.863, recall: 0.9463, relative_absolute_error: 0.1939, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9463, kappa: 0.8687, kb_relative_information_score: 0.8108, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9464, predictive_accuracy: 0.9463, prior_entropy: 0.863, recall: 0.9463, relative_absolute_error: 0.1939, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9642, kappa: 0.9123, kb_relative_information_score: 0.8565, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9642, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9642, kappa: 0.9123, kb_relative_information_score: 0.8565, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9642, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1628, root_relative_squared_error: 0.3604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9731, kappa: 0.934, kb_relative_information_score: 0.9051, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9731, predictive_accuracy: 0.9731, prior_entropy: 0.863, recall: 0.9731, relative_absolute_error: 0.0969, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.3148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9731, kappa: 0.934, kb_relative_information_score: 0.9051, mean_absolute_error: 0.0395, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9731, predictive_accuracy: 0.9731, prior_entropy: 0.863, recall: 0.9731, relative_absolute_error: 0.0969, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.3148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9329, kappa: 0.8341, kb_relative_information_score: 0.6777, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9329, predictive_accuracy: 0.9335, prior_entropy: 0.863, recall: 0.9335, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.5041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9329, kappa: 0.8341, kb_relative_information_score: 0.6777, mean_absolute_error: 0.1449, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9329, predictive_accuracy: 0.9335, prior_entropy: 0.863, recall: 0.9335, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.5041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9689, kappa: 0.9238, kb_relative_information_score: 0.8859, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9689, predictive_accuracy: 0.9689, prior_entropy: 0.863, recall: 0.9689, relative_absolute_error: 0.118, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.3363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9689, kappa: 0.9238, kb_relative_information_score: 0.8859, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9689, predictive_accuracy: 0.9689, prior_entropy: 0.863, recall: 0.9689, relative_absolute_error: 0.118, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1519, root_relative_squared_error: 0.3363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9537, kappa: 0.8863, kb_relative_information_score: 0.7823, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.4208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9537, kappa: 0.8863, kb_relative_information_score: 0.7823, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9537, predictive_accuracy: 0.9538, prior_entropy: 0.863, recall: 0.9538, relative_absolute_error: 0.2401, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.4208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9699, kappa: 0.9263, kb_relative_information_score: 0.8963, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9699, predictive_accuracy: 0.97, prior_entropy: 0.863, recall: 0.97, relative_absolute_error: 0.1056, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.3314,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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From your own software

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

OpenML APIs