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: 0.9945, f_measure: 0.9675, kappa: 0.9202, kb_relative_information_score: 0.8776, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9675, prior_entropy: 0.863, recall: 0.9675, relative_absolute_error: 0.1271, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.3449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9675, kappa: 0.9202, kb_relative_information_score: 0.8776, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9674, predictive_accuracy: 0.9675, prior_entropy: 0.863, recall: 0.9675, relative_absolute_error: 0.1271, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1558, root_relative_squared_error: 0.3449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9412, kappa: 0.8551, kb_relative_information_score: 0.7388, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9412, predictive_accuracy: 0.9416, prior_entropy: 0.863, recall: 0.9416, relative_absolute_error: 0.2808, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.9412, kappa: 0.8551, kb_relative_information_score: 0.7388, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9412, predictive_accuracy: 0.9416, prior_entropy: 0.863, recall: 0.9416, relative_absolute_error: 0.2808, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2114, root_relative_squared_error: 0.468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9714, kappa: 0.9299, kb_relative_information_score: 0.8966, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9714, predictive_accuracy: 0.9714, prior_entropy: 0.863, recall: 0.9714, relative_absolute_error: 0.106, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.3258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.952, kappa: 0.8822, kb_relative_information_score: 0.808, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.952, predictive_accuracy: 0.9521, prior_entropy: 0.863, recall: 0.9521, relative_absolute_error: 0.2021, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1895, root_relative_squared_error: 0.4195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9714, kappa: 0.9299, kb_relative_information_score: 0.8966, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9714, predictive_accuracy: 0.9714, prior_entropy: 0.863, recall: 0.9714, relative_absolute_error: 0.106, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1472, root_relative_squared_error: 0.3258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9709, kappa: 0.9286, kb_relative_information_score: 0.8952, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9708, predictive_accuracy: 0.9709, prior_entropy: 0.863, recall: 0.9709, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.3282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9709, kappa: 0.9286, kb_relative_information_score: 0.8952, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9708, predictive_accuracy: 0.9709, prior_entropy: 0.863, recall: 0.9709, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1482, root_relative_squared_error: 0.3282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9685, kappa: 0.9229, kb_relative_information_score: 0.8832, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9685, predictive_accuracy: 0.9685, prior_entropy: 0.863, recall: 0.9685, relative_absolute_error: 0.1208, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.3399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9685, kappa: 0.9229, kb_relative_information_score: 0.8832, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9685, predictive_accuracy: 0.9685, prior_entropy: 0.863, recall: 0.9685, relative_absolute_error: 0.1208, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.3399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9757, kappa: 0.9403, kb_relative_information_score: 0.9313, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9756, predictive_accuracy: 0.9757, prior_entropy: 0.863, recall: 0.9757, relative_absolute_error: 0.0655, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.3127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9547, kappa: 0.8887, kb_relative_information_score: 0.8146, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9546, predictive_accuracy: 0.9547, prior_entropy: 0.863, recall: 0.9547, relative_absolute_error: 0.1974, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.184, root_relative_squared_error: 0.4074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9757, kappa: 0.9403, kb_relative_information_score: 0.9313, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9756, predictive_accuracy: 0.9757, prior_entropy: 0.863, recall: 0.9757, relative_absolute_error: 0.0655, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.3127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.964, kappa: 0.9117, kb_relative_information_score: 0.863, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.1418, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.3656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.964, kappa: 0.9117, kb_relative_information_score: 0.863, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.1418, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.3656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9755, kappa: 0.9399, kb_relative_information_score: 0.9303, mean_absolute_error: 0.0271, 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: 0.0664, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.3127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9755, kappa: 0.9399, kb_relative_information_score: 0.9303, mean_absolute_error: 0.0271, 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: 0.0664, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.3127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9732, kappa: 0.9343, kb_relative_information_score: 0.9074, mean_absolute_error: 0.0384, 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: 0.0941, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.3149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9732, kappa: 0.9343, kb_relative_information_score: 0.9074, mean_absolute_error: 0.0384, 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: 0.0941, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.3149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9758, kappa: 0.9406, kb_relative_information_score: 0.9327, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9758, predictive_accuracy: 0.9758, prior_entropy: 0.863, recall: 0.9758, relative_absolute_error: 0.0632, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.3178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9758, kappa: 0.9406, kb_relative_information_score: 0.9327, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9758, predictive_accuracy: 0.9758, prior_entropy: 0.863, recall: 0.9758, relative_absolute_error: 0.0632, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.3178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9643, kappa: 0.9124, kb_relative_information_score: 0.8497, mean_absolute_error: 0.0659, 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: 0.1615, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.3646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9643, kappa: 0.9124, kb_relative_information_score: 0.8497, mean_absolute_error: 0.0659, 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: 0.1615, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.3646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9697, kappa: 0.9256, kb_relative_information_score: 0.8876, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 0.863, recall: 0.9697, relative_absolute_error: 0.116, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.3358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9697, kappa: 0.9256, kb_relative_information_score: 0.8876, mean_absolute_error: 0.0473, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9697, predictive_accuracy: 0.9697, prior_entropy: 0.863, recall: 0.9697, relative_absolute_error: 0.116, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.3358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9715, kappa: 0.9301, kb_relative_information_score: 0.8984, mean_absolute_error: 0.0428, 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: 0.1048, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.3214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9715, kappa: 0.9301, kb_relative_information_score: 0.8984, mean_absolute_error: 0.0428, 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: 0.1048, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.3214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.957, kappa: 0.8942, kb_relative_information_score: 0.7444, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.296, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.4275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.957, kappa: 0.8942, kb_relative_information_score: 0.7444, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.9571, prior_entropy: 0.863, recall: 0.9571, relative_absolute_error: 0.296, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1931, root_relative_squared_error: 0.4275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9746, kappa: 0.9378, kb_relative_information_score: 0.9176, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9746, predictive_accuracy: 0.9747, prior_entropy: 0.863, recall: 0.9747, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.3097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9746, kappa: 0.9378, kb_relative_information_score: 0.9176, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9746, predictive_accuracy: 0.9747, prior_entropy: 0.863, recall: 0.9747, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.3097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9409, kappa: 0.8543, kb_relative_information_score: 0.7556, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9408, predictive_accuracy: 0.9413, prior_entropy: 0.863, recall: 0.9413, relative_absolute_error: 0.2614, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.4615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.9409, kappa: 0.8543, kb_relative_information_score: 0.7556, mean_absolute_error: 0.1067, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9408, predictive_accuracy: 0.9413, prior_entropy: 0.863, recall: 0.9413, relative_absolute_error: 0.2614, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2085, root_relative_squared_error: 0.4615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.968, kappa: 0.9215, kb_relative_information_score: 0.8816, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.968, prior_entropy: 0.863, recall: 0.968, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.3435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.968, kappa: 0.9215, kb_relative_information_score: 0.8816, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.968, prior_entropy: 0.863, recall: 0.968, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.3435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.8843, kappa: 0.7277, kb_relative_information_score: 0.6717, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8963, predictive_accuracy: 0.8809, prior_entropy: 0.863, recall: 0.8809, relative_absolute_error: 0.3072, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.7429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8687, f_measure: 0.8843, kappa: 0.7277, kb_relative_information_score: 0.6717, mean_absolute_error: 0.1254, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8963, predictive_accuracy: 0.8809, prior_entropy: 0.863, recall: 0.8809, relative_absolute_error: 0.3072, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3356, root_relative_squared_error: 0.7429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9709, kappa: 0.9286, kb_relative_information_score: 0.9192, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9709, predictive_accuracy: 0.9709, prior_entropy: 0.863, recall: 0.9709, relative_absolute_error: 0.0758, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.3494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9709, kappa: 0.9286, kb_relative_information_score: 0.9192, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9709, predictive_accuracy: 0.9709, prior_entropy: 0.863, recall: 0.9709, relative_absolute_error: 0.0758, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1578, root_relative_squared_error: 0.3494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5611, kappa: -0, kb_relative_information_score: -0.2146, mean_absolute_error: 0.4571, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5919, predictive_accuracy: 0.5429, prior_entropy: 0.863, recall: 0.5429, relative_absolute_error: 1.1202, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.6761, root_relative_squared_error: 1.4968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5611, kappa: -0, kb_relative_information_score: -0.2146, mean_absolute_error: 0.4571, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5919, predictive_accuracy: 0.5429, prior_entropy: 0.863, recall: 0.5429, relative_absolute_error: 1.1202, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.6761, root_relative_squared_error: 1.4968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9755, kappa: 0.9398, kb_relative_information_score: 0.9266, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9754, predictive_accuracy: 0.9755, prior_entropy: 0.863, recall: 0.9755, relative_absolute_error: 0.071, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.3117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9755, kappa: 0.9398, kb_relative_information_score: 0.9266, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9754, predictive_accuracy: 0.9755, prior_entropy: 0.863, recall: 0.9755, relative_absolute_error: 0.071, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.3117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9649, kappa: 0.914, kb_relative_information_score: 0.8675, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.863, recall: 0.9649, relative_absolute_error: 0.1371, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9649, kappa: 0.914, kb_relative_information_score: 0.8675, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.9649, prior_entropy: 0.863, recall: 0.9649, relative_absolute_error: 0.1371, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9499, kappa: 0.8767, kb_relative_information_score: 0.7898, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9498, predictive_accuracy: 0.9501, prior_entropy: 0.863, recall: 0.9501, relative_absolute_error: 0.2246, 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: 0.9875, f_measure: 0.9499, kappa: 0.8767, kb_relative_information_score: 0.7898, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9498, predictive_accuracy: 0.9501, prior_entropy: 0.863, recall: 0.9501, relative_absolute_error: 0.2246, 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: 0.9956, f_measure: 0.9731, kappa: 0.9341, kb_relative_information_score: 0.9237, mean_absolute_error: 0.0294, 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: 0.0722, 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: 0.9731, kappa: 0.9341, kb_relative_information_score: 0.9237, mean_absolute_error: 0.0294, 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: 0.0722, 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: 0.996, f_measure: 0.9734, kappa: 0.9347, kb_relative_information_score: 0.9072, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9734, predictive_accuracy: 0.9734, prior_entropy: 0.863, recall: 0.9734, relative_absolute_error: 0.0947, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9734, kappa: 0.9347, kb_relative_information_score: 0.9072, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9734, predictive_accuracy: 0.9734, prior_entropy: 0.863, recall: 0.9734, relative_absolute_error: 0.0947, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.962, kappa: 0.9069, kb_relative_information_score: 0.8541, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.962, prior_entropy: 0.863, recall: 0.962, relative_absolute_error: 0.1519, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.3718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.962, kappa: 0.9069, kb_relative_information_score: 0.8541, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.962, prior_entropy: 0.863, recall: 0.962, relative_absolute_error: 0.1519, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.3718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9696, kappa: 0.9255, kb_relative_information_score: 0.8867, mean_absolute_error: 0.0479, 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: 0.1174, 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: 0.9843, f_measure: 0.9416, kappa: 0.8561, kb_relative_information_score: 0.7429, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9415, predictive_accuracy: 0.9419, prior_entropy: 0.863, recall: 0.9419, relative_absolute_error: 0.276, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2105, root_relative_squared_error: 0.4661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9696, kappa: 0.9255, kb_relative_information_score: 0.8867, mean_absolute_error: 0.0479, 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: 0.1174, 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: 0.5, f_measure: 0.6064, kappa: -0.0001, kb_relative_information_score: 0.0132, 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: 0.9101, 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: -0.0001, kb_relative_information_score: 0.0132, 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: 0.9101, 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: 0.9962, f_measure: 0.9736, kappa: 0.9353, kb_relative_information_score: 0.9083, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9736, predictive_accuracy: 0.9736, prior_entropy: 0.863, recall: 0.9736, relative_absolute_error: 0.0933, 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: 0.9962, f_measure: 0.9736, kappa: 0.9353, kb_relative_information_score: 0.9083, mean_absolute_error: 0.0381, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9736, predictive_accuracy: 0.9736, prior_entropy: 0.863, recall: 0.9736, relative_absolute_error: 0.0933, 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: 0.9951, f_measure: 0.9698, kappa: 0.926, kb_relative_information_score: 0.8885, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9698, predictive_accuracy: 0.9698, prior_entropy: 0.863, recall: 0.9698, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.15, root_relative_squared_error: 0.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9698, kappa: 0.926, kb_relative_information_score: 0.8885, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9698, predictive_accuracy: 0.9698, prior_entropy: 0.863, recall: 0.9698, relative_absolute_error: 0.1152, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.15, root_relative_squared_error: 0.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9754, kappa: 0.9396, kb_relative_information_score: 0.9274, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9753, predictive_accuracy: 0.9754, prior_entropy: 0.863, recall: 0.9754, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.3106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9754, kappa: 0.9396, kb_relative_information_score: 0.9274, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9753, predictive_accuracy: 0.9754, prior_entropy: 0.863, recall: 0.9754, relative_absolute_error: 0.07, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.3106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9755, kappa: 0.9399, kb_relative_information_score: 0.9289, mean_absolute_error: 0.0276, 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: 0.0677, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.3154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9755, kappa: 0.9399, kb_relative_information_score: 0.9289, mean_absolute_error: 0.0276, 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: 0.0677, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1425, root_relative_squared_error: 0.3154,
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: 0.9963, f_measure: 0.9752, kappa: 0.9393, kb_relative_information_score: 0.9307, mean_absolute_error: 0.0269, 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: 0.0658, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9752, kappa: 0.9393, kb_relative_information_score: 0.9307, mean_absolute_error: 0.0269, 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: 0.0658, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5887, kappa: -0, 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: 0.5, f_measure: 0.5887, kappa: -0, 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: 0.9933, f_measure: 0.9639, kappa: 0.9115, kb_relative_information_score: 0.8612, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9639, predictive_accuracy: 0.9639, prior_entropy: 0.863, recall: 0.9639, relative_absolute_error: 0.1447, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9639, kappa: 0.9115, kb_relative_information_score: 0.8612, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9639, predictive_accuracy: 0.9639, prior_entropy: 0.863, recall: 0.9639, relative_absolute_error: 0.1447, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1644, root_relative_squared_error: 0.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9603, kappa: 0.9027, kb_relative_information_score: 0.8488, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9603, predictive_accuracy: 0.9603, prior_entropy: 0.863, recall: 0.9603, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.3813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9603, kappa: 0.9027, kb_relative_information_score: 0.8488, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9603, predictive_accuracy: 0.9603, prior_entropy: 0.863, recall: 0.9603, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.3813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9744, kappa: 0.9373, kb_relative_information_score: 0.9217, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9744, predictive_accuracy: 0.9745, prior_entropy: 0.863, recall: 0.9745, relative_absolute_error: 0.0764, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.141, root_relative_squared_error: 0.3122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9744, kappa: 0.9373, kb_relative_information_score: 0.9217, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9744, predictive_accuracy: 0.9745, prior_entropy: 0.863, recall: 0.9745, relative_absolute_error: 0.0764, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.141, root_relative_squared_error: 0.3122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9685, kappa: 0.9227, kb_relative_information_score: 0.8826, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9685, predictive_accuracy: 0.9685, prior_entropy: 0.863, recall: 0.9685, relative_absolute_error: 0.1218, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9685, kappa: 0.9227, kb_relative_information_score: 0.8826, mean_absolute_error: 0.0497, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9685, predictive_accuracy: 0.9685, prior_entropy: 0.863, recall: 0.9685, relative_absolute_error: 0.1218, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1531, root_relative_squared_error: 0.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9644, kappa: 0.9126, kb_relative_information_score: 0.8659, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9643, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.1392, 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: 0.9934, f_measure: 0.9644, kappa: 0.9126, kb_relative_information_score: 0.8659, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9643, predictive_accuracy: 0.9644, prior_entropy: 0.863, recall: 0.9644, relative_absolute_error: 0.1392, 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: 0.9928, f_measure: 0.9641, kappa: 0.9119, kb_relative_information_score: 0.8502, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.16, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.166, root_relative_squared_error: 0.3676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9641, kappa: 0.9119, kb_relative_information_score: 0.8502, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.16, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.166, root_relative_squared_error: 0.3676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9701, kappa: 0.9266, kb_relative_information_score: 0.919, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.97, predictive_accuracy: 0.9701, prior_entropy: 0.863, recall: 0.9701, relative_absolute_error: 0.0753, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9701, kappa: 0.9266, kb_relative_information_score: 0.919, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.97, predictive_accuracy: 0.9701, prior_entropy: 0.863, recall: 0.9701, relative_absolute_error: 0.0753, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9425, kappa: 0.859, kb_relative_information_score: 0.7905, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9425, predictive_accuracy: 0.9425, prior_entropy: 0.863, recall: 0.9425, relative_absolute_error: 0.216, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.4579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9425, kappa: 0.859, kb_relative_information_score: 0.7905, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9425, predictive_accuracy: 0.9425, prior_entropy: 0.863, recall: 0.9425, relative_absolute_error: 0.216, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.4579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9414, kappa: 0.8555, kb_relative_information_score: 0.7541, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9413, predictive_accuracy: 0.9417, prior_entropy: 0.863, recall: 0.9417, relative_absolute_error: 0.2634, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.4611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9414, kappa: 0.8555, kb_relative_information_score: 0.7541, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9413, predictive_accuracy: 0.9417, prior_entropy: 0.863, recall: 0.9417, relative_absolute_error: 0.2634, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2083, root_relative_squared_error: 0.4611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.914, kappa: 0.7908, kb_relative_information_score: 0.7659, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.915, predictive_accuracy: 0.9134, prior_entropy: 0.863, recall: 0.9134, relative_absolute_error: 0.217, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.6396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.914, kappa: 0.7908, kb_relative_information_score: 0.7659, mean_absolute_error: 0.0886, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.915, predictive_accuracy: 0.9134, prior_entropy: 0.863, recall: 0.9134, relative_absolute_error: 0.217, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.6396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9744, kappa: 0.9373, kb_relative_information_score: 0.9121, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9744, predictive_accuracy: 0.9745, prior_entropy: 0.863, recall: 0.9745, relative_absolute_error: 0.0886, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.3108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9744, kappa: 0.9373, kb_relative_information_score: 0.9121, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9744, predictive_accuracy: 0.9745, prior_entropy: 0.863, recall: 0.9745, relative_absolute_error: 0.0886, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.3108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.964, kappa: 0.9117, kb_relative_information_score: 0.8645, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.1413, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.964, kappa: 0.9117, kb_relative_information_score: 0.8645, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.964, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.1413, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.3612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9572, kappa: 0.8951, kb_relative_information_score: 0.8317, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9572, predictive_accuracy: 0.9572, prior_entropy: 0.863, recall: 0.9572, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9572, kappa: 0.8951, kb_relative_information_score: 0.8317, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9572, predictive_accuracy: 0.9572, prior_entropy: 0.863, recall: 0.9572, relative_absolute_error: 0.1755, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9756, kappa: 0.9401, kb_relative_information_score: 0.9308, mean_absolute_error: 0.0268, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9756, predictive_accuracy: 0.9756, prior_entropy: 0.863, recall: 0.9756, relative_absolute_error: 0.0656, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.3161,

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