OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 32751 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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32751 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9718, kappa: 0.9308, kb_relative_information_score: 0.9042, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9718, predictive_accuracy: 0.9718, prior_entropy: 0.863, recall: 0.9718, relative_absolute_error: 0.097, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.3215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.9267, kappa: 0.8174, kb_relative_information_score: 0.6702, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9277, predictive_accuracy: 0.928, prior_entropy: 0.863, recall: 0.928, relative_absolute_error: 0.3656, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.5121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9408, kappa: 0.8541, kb_relative_information_score: 0.7248, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9408, predictive_accuracy: 0.9412, prior_entropy: 0.863, recall: 0.9412, relative_absolute_error: 0.3002, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9459, kappa: 0.8674, kb_relative_information_score: 0.8052, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9459, predictive_accuracy: 0.9459, prior_entropy: 0.863, recall: 0.9459, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9663, kappa: 0.9174, kb_relative_information_score: 0.87, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9663, predictive_accuracy: 0.9663, prior_entropy: 0.863, recall: 0.9663, relative_absolute_error: 0.1352, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9663, kappa: 0.9174, kb_relative_information_score: 0.87, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9663, predictive_accuracy: 0.9663, prior_entropy: 0.863, recall: 0.9663, relative_absolute_error: 0.1352, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.5888, kappa: 0.0002, kb_relative_information_score: -0.1005, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.592, predictive_accuracy: 0.5858, prior_entropy: 0.863, recall: 0.5858, relative_absolute_error: 1.0149, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.6436, root_relative_squared_error: 1.4247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9699, kappa: 0.9262, kb_relative_information_score: 0.8889, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9699, predictive_accuracy: 0.9699, prior_entropy: 0.863, recall: 0.9699, relative_absolute_error: 0.1145, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.3332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, f_measure: 0.9459, kappa: 0.8674, kb_relative_information_score: 0.8052, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9459, predictive_accuracy: 0.9459, prior_entropy: 0.863, recall: 0.9459, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2014, root_relative_squared_error: 0.4458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9729, kappa: 0.9336, kb_relative_information_score: 0.9095, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9729, predictive_accuracy: 0.973, prior_entropy: 0.863, recall: 0.973, relative_absolute_error: 0.0915, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.3132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9729, kappa: 0.9336, kb_relative_information_score: 0.9095, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9729, predictive_accuracy: 0.973, prior_entropy: 0.863, recall: 0.973, relative_absolute_error: 0.0915, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.3132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9735, kappa: 0.9351, kb_relative_information_score: 0.9113, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9735, predictive_accuracy: 0.9735, prior_entropy: 0.863, recall: 0.9735, relative_absolute_error: 0.0894, 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: 0.5001, f_measure: 0.5888, kappa: 0.0002, kb_relative_information_score: -0.1005, mean_absolute_error: 0.4142, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.592, predictive_accuracy: 0.5858, prior_entropy: 0.863, recall: 0.5858, relative_absolute_error: 1.0149, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.6436, root_relative_squared_error: 1.4247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9408, kappa: 0.8541, kb_relative_information_score: 0.7248, mean_absolute_error: 0.1225, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9408, predictive_accuracy: 0.9412, prior_entropy: 0.863, recall: 0.9412, relative_absolute_error: 0.3002, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2136, root_relative_squared_error: 0.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9699, kappa: 0.9262, kb_relative_information_score: 0.8889, mean_absolute_error: 0.0467, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9699, predictive_accuracy: 0.9699, prior_entropy: 0.863, recall: 0.9699, relative_absolute_error: 0.1145, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.3332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9621, kappa: 0.9071, kb_relative_information_score: 0.8538, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9621, predictive_accuracy: 0.9621, prior_entropy: 0.863, recall: 0.9621, relative_absolute_error: 0.1523, 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: 0.9621, kappa: 0.9071, kb_relative_information_score: 0.8538, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9621, predictive_accuracy: 0.9621, prior_entropy: 0.863, recall: 0.9621, relative_absolute_error: 0.1523, 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: 0.9961, f_measure: 0.9735, kappa: 0.9351, kb_relative_information_score: 0.9113, mean_absolute_error: 0.0365, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9735, predictive_accuracy: 0.9735, prior_entropy: 0.863, recall: 0.9735, relative_absolute_error: 0.0894, 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: 0.9801, f_measure: 0.9267, kappa: 0.8174, kb_relative_information_score: 0.6702, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9277, predictive_accuracy: 0.928, prior_entropy: 0.863, recall: 0.928, relative_absolute_error: 0.3656, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.5121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.969, kappa: 0.924, kb_relative_information_score: 0.9036, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.0947, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.3403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6259, f_measure: 0.7904, kappa: 0.4757, kb_relative_information_score: 0.4475, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.7884, predictive_accuracy: 0.7957, prior_entropy: 0.863, recall: 0.7957, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.9899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9654, kappa: 0.9152, kb_relative_information_score: 0.8681, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9654, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.137, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.3571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.945, kappa: 0.8644, kb_relative_information_score: 0.763, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9449, predictive_accuracy: 0.9453, prior_entropy: 0.863, recall: 0.9453, relative_absolute_error: 0.2546, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9441, kappa: 0.863, kb_relative_information_score: 0.8286, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9441, predictive_accuracy: 0.944, prior_entropy: 0.863, recall: 0.944, relative_absolute_error: 0.1661, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9583, kappa: 0.8976, kb_relative_information_score: 0.861, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9582, predictive_accuracy: 0.9583, prior_entropy: 0.863, recall: 0.9583, relative_absolute_error: 0.1397, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.3879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5692, f_measure: 0.6408, kappa: 0.135, kb_relative_information_score: 0.0311, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.6473, predictive_accuracy: 0.6353, prior_entropy: 0.863, recall: 0.6353, relative_absolute_error: 0.8936, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.6039, root_relative_squared_error: 1.3369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9699, kappa: 0.9262, kb_relative_information_score: 0.8878, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9699, predictive_accuracy: 0.9699, prior_entropy: 0.863, recall: 0.9699, relative_absolute_error: 0.1161, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.3335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6259, f_measure: 0.7904, kappa: 0.4757, kb_relative_information_score: 0.4475, mean_absolute_error: 0.2094, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.7884, predictive_accuracy: 0.7957, prior_entropy: 0.863, recall: 0.7957, relative_absolute_error: 0.5131, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.9899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5692, f_measure: 0.6408, kappa: 0.135, kb_relative_information_score: 0.0311, mean_absolute_error: 0.3647, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.6473, predictive_accuracy: 0.6353, prior_entropy: 0.863, recall: 0.6353, relative_absolute_error: 0.8936, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.6039, root_relative_squared_error: 1.3369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9747, kappa: 0.938, kb_relative_information_score: 0.9189, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9747, predictive_accuracy: 0.9747, prior_entropy: 0.863, recall: 0.9747, relative_absolute_error: 0.0804, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.3089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9747, kappa: 0.938, kb_relative_information_score: 0.9189, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9747, predictive_accuracy: 0.9747, prior_entropy: 0.863, recall: 0.9747, relative_absolute_error: 0.0804, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.3089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9654, kappa: 0.9152, kb_relative_information_score: 0.8681, mean_absolute_error: 0.0559, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9654, predictive_accuracy: 0.9654, prior_entropy: 0.863, recall: 0.9654, relative_absolute_error: 0.137, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.3571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.945, kappa: 0.8644, kb_relative_information_score: 0.763, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9449, predictive_accuracy: 0.9453, prior_entropy: 0.863, recall: 0.9453, relative_absolute_error: 0.2546, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9699, kappa: 0.9262, kb_relative_information_score: 0.8878, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9699, predictive_accuracy: 0.9699, prior_entropy: 0.863, recall: 0.9699, relative_absolute_error: 0.1161, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1506, root_relative_squared_error: 0.3335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9366, kappa: 0.8431, kb_relative_information_score: 0.7327, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9368, predictive_accuracy: 0.9373, prior_entropy: 0.863, recall: 0.9373, relative_absolute_error: 0.2893, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.4742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9441, kappa: 0.863, kb_relative_information_score: 0.8286, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9441, predictive_accuracy: 0.944, prior_entropy: 0.863, recall: 0.944, relative_absolute_error: 0.1661, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.969, kappa: 0.924, kb_relative_information_score: 0.9036, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.0947, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.3403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9366, kappa: 0.8431, kb_relative_information_score: 0.7327, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9368, predictive_accuracy: 0.9373, prior_entropy: 0.863, recall: 0.9373, relative_absolute_error: 0.2893, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.4742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.973, kappa: 0.9339, kb_relative_information_score: 0.9129, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.973, predictive_accuracy: 0.9731, prior_entropy: 0.863, recall: 0.9731, relative_absolute_error: 0.0868, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.3175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.973, kappa: 0.9339, kb_relative_information_score: 0.9129, mean_absolute_error: 0.0354, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.973, predictive_accuracy: 0.9731, prior_entropy: 0.863, recall: 0.9731, relative_absolute_error: 0.0868, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.3175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5174, f_measure: 0.6081, kappa: 0.0351, kb_relative_information_score: -0.0361, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.6063, predictive_accuracy: 0.61, prior_entropy: 0.863, recall: 0.61, relative_absolute_error: 0.9556, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.6245, root_relative_squared_error: 1.3825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9658, kappa: 0.9162, kb_relative_information_score: 0.8905, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9658, predictive_accuracy: 0.9658, prior_entropy: 0.863, recall: 0.9658, relative_absolute_error: 0.1081, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.161, root_relative_squared_error: 0.3563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9678, kappa: 0.9212, kb_relative_information_score: 0.8796, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9678, predictive_accuracy: 0.9679, prior_entropy: 0.863, recall: 0.9679, relative_absolute_error: 0.1245, 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: 0.9949, f_measure: 0.969, kappa: 0.9241, kb_relative_information_score: 0.8823, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9241, kb_relative_information_score: 0.8827, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.1211, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.3403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9241, kb_relative_information_score: 0.8827, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.1211, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.3403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9715, kappa: 0.93, kb_relative_information_score: 0.9068, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9714, predictive_accuracy: 0.9715, prior_entropy: 0.863, recall: 0.9715, relative_absolute_error: 0.0926, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.3283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9715, kappa: 0.93, kb_relative_information_score: 0.9068, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9714, predictive_accuracy: 0.9715, prior_entropy: 0.863, recall: 0.9715, relative_absolute_error: 0.0926, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.3283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9736, kappa: 0.9351, kb_relative_information_score: 0.9249, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9735, predictive_accuracy: 0.9736, prior_entropy: 0.863, recall: 0.9736, relative_absolute_error: 0.0715, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.3265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.969, kappa: 0.9241, kb_relative_information_score: 0.8823, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9736, kappa: 0.9351, kb_relative_information_score: 0.9249, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9735, predictive_accuracy: 0.9736, prior_entropy: 0.863, recall: 0.9736, relative_absolute_error: 0.0715, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1475, root_relative_squared_error: 0.3265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9648, kappa: 0.9138, kb_relative_information_score: 0.8655, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9648, predictive_accuracy: 0.9649, prior_entropy: 0.863, recall: 0.9649, relative_absolute_error: 0.1401, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.3578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9678, kappa: 0.9212, kb_relative_information_score: 0.8796, mean_absolute_error: 0.0508, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9678, predictive_accuracy: 0.9679, prior_entropy: 0.863, recall: 0.9679, relative_absolute_error: 0.1245, 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: 0.9937, f_measure: 0.9648, kappa: 0.9138, kb_relative_information_score: 0.8655, mean_absolute_error: 0.0572, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9648, predictive_accuracy: 0.9649, prior_entropy: 0.863, recall: 0.9649, relative_absolute_error: 0.1401, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.3578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9307, kappa: 0.8284, kb_relative_information_score: 0.7158, mean_absolute_error: 0.1263, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.931, predictive_accuracy: 0.9316, prior_entropy: 0.863, recall: 0.9316, relative_absolute_error: 0.3096, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.4846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9708, kappa: 0.9284, kb_relative_information_score: 0.8915, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9708, predictive_accuracy: 0.9708, prior_entropy: 0.863, recall: 0.9708, relative_absolute_error: 0.1118, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.3301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9712, kappa: 0.9295, kb_relative_information_score: 0.8997, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9712, predictive_accuracy: 0.9712, prior_entropy: 0.863, recall: 0.9712, relative_absolute_error: 0.1026, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.3247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9761, kappa: 0.9413, kb_relative_information_score: 0.9348, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.976, predictive_accuracy: 0.9761, prior_entropy: 0.863, recall: 0.9761, relative_absolute_error: 0.061, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1448, root_relative_squared_error: 0.3205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9544, kappa: 0.8883, kb_relative_information_score: 0.8274, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9544, predictive_accuracy: 0.9544, prior_entropy: 0.863, recall: 0.9544, relative_absolute_error: 0.178, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.4063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9715, kappa: 0.9302, kb_relative_information_score: 0.9075, mean_absolute_error: 0.0377, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9715, predictive_accuracy: 0.9716, prior_entropy: 0.863, recall: 0.9716, relative_absolute_error: 0.0924, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.3222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9694, f_measure: 0.8724, kappa: 0.6739, kb_relative_information_score: 0.332, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8929, predictive_accuracy: 0.8818, prior_entropy: 0.863, recall: 0.8818, relative_absolute_error: 0.7398, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.7567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9646, kappa: 0.9132, kb_relative_information_score: 0.8656, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9646, prior_entropy: 0.863, recall: 0.9646, relative_absolute_error: 0.1398, 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: 0.956, f_measure: 0.9488, kappa: 0.8746, kb_relative_information_score: 0.8504, mean_absolute_error: 0.0585, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9488, predictive_accuracy: 0.9489, prior_entropy: 0.863, recall: 0.9489, relative_absolute_error: 0.1434, 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: 0.9694, f_measure: 0.8724, kappa: 0.6739, kb_relative_information_score: 0.332, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8929, predictive_accuracy: 0.8818, prior_entropy: 0.863, recall: 0.8818, relative_absolute_error: 0.7398, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3418, root_relative_squared_error: 0.7567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9707, kappa: 0.9282, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0342, 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: 0.0838, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.3345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9707, kappa: 0.9282, kb_relative_information_score: 0.9132, mean_absolute_error: 0.0342, 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: 0.0838, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.3345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9646, kappa: 0.9132, kb_relative_information_score: 0.8656, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9646, prior_entropy: 0.863, recall: 0.9646, relative_absolute_error: 0.1398, 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: 0.9941, f_measure: 0.9671, kappa: 0.9193, kb_relative_information_score: 0.8769, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9671, prior_entropy: 0.863, recall: 0.9671, relative_absolute_error: 0.1271, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.3487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9648, kappa: 0.9136, kb_relative_information_score: 0.875, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9647, predictive_accuracy: 0.9648, prior_entropy: 0.863, recall: 0.9648, relative_absolute_error: 0.1273, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1629, root_relative_squared_error: 0.3607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.973, kappa: 0.9339, kb_relative_information_score: 0.9157, mean_absolute_error: 0.0338, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.973, predictive_accuracy: 0.9731, prior_entropy: 0.863, recall: 0.9731, relative_absolute_error: 0.0829, 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: 0.9959, f_measure: 0.9722, kappa: 0.9317, kb_relative_information_score: 0.9088, mean_absolute_error: 0.0374, 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: 0.0916, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.3163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.973, kappa: 0.9338, kb_relative_information_score: 0.9057, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.973, predictive_accuracy: 0.973, prior_entropy: 0.863, recall: 0.973, relative_absolute_error: 0.0962, 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: 0.9965, f_measure: 0.9753, kappa: 0.9395, 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: 0.14, root_relative_squared_error: 0.3099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9733, kappa: 0.9345, kb_relative_information_score: 0.9051, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9733, predictive_accuracy: 0.9733, prior_entropy: 0.863, recall: 0.9733, relative_absolute_error: 0.0967, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.3158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9657, kappa: 0.9158, kb_relative_information_score: 0.8588, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9656, predictive_accuracy: 0.9657, prior_entropy: 0.863, recall: 0.9657, relative_absolute_error: 0.1503, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.162, root_relative_squared_error: 0.3587,
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: 0.9961, f_measure: 0.9743, kappa: 0.937, kb_relative_information_score: 0.9111, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9743, predictive_accuracy: 0.9743, prior_entropy: 0.863, recall: 0.9743, relative_absolute_error: 0.0899, 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: 0.9937, f_measure: 0.966, kappa: 0.9166, kb_relative_information_score: 0.8698, mean_absolute_error: 0.0552, 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: 0.1352, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1603, root_relative_squared_error: 0.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9699, kappa: 0.9262, kb_relative_information_score: 0.888, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9699, predictive_accuracy: 0.9699, prior_entropy: 0.863, recall: 0.9699, relative_absolute_error: 0.1164, 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: 0.9889, f_measure: 0.9519, kappa: 0.8819, kb_relative_information_score: 0.8087, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9518, predictive_accuracy: 0.952, prior_entropy: 0.863, recall: 0.952, relative_absolute_error: 0.2016, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.4182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9661, kappa: 0.9168, kb_relative_information_score: 0.8642, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9661, predictive_accuracy: 0.9661, prior_entropy: 0.863, recall: 0.9661, relative_absolute_error: 0.1448, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.9235, kappa: 0.8126, kb_relative_information_score: 0.7925, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9235, predictive_accuracy: 0.9235, prior_entropy: 0.863, recall: 0.9235, relative_absolute_error: 0.1929, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.5947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9694, kappa: 0.925, kb_relative_information_score: 0.8849, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9694, predictive_accuracy: 0.9694, prior_entropy: 0.863, recall: 0.9694, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1526, root_relative_squared_error: 0.3377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.957, kappa: 0.8945, kb_relative_information_score: 0.8315, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9569, predictive_accuracy: 0.957, prior_entropy: 0.863, recall: 0.957, relative_absolute_error: 0.1757, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.3974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.959, kappa: 0.8996, kb_relative_information_score: 0.8383, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.959, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.168, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.176, root_relative_squared_error: 0.3897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.934, kappa: 0.8364, kb_relative_information_score: 0.6629, mean_absolute_error: 0.1534, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9343, predictive_accuracy: 0.9348, prior_entropy: 0.863, recall: 0.9348, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.5099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.954, kappa: 0.887, kb_relative_information_score: 0.7822, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9539, predictive_accuracy: 0.9541, prior_entropy: 0.863, recall: 0.9541, 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: 0.9927, f_measure: 0.9626, kappa: 0.9082, kb_relative_information_score: 0.8633, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9626, predictive_accuracy: 0.9626, prior_entropy: 0.863, recall: 0.9626, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.3701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.9461, kappa: 0.8677, kb_relative_information_score: 0.8413, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.946, predictive_accuracy: 0.9462, prior_entropy: 0.863, recall: 0.9462, relative_absolute_error: 0.1526, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.4724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.96, kappa: 0.902, kb_relative_information_score: 0.8282, mean_absolute_error: 0.0757, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.96, predictive_accuracy: 0.9601, prior_entropy: 0.863, recall: 0.9601, relative_absolute_error: 0.1854, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9434, kappa: 0.8604, kb_relative_information_score: 0.7533, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9433, predictive_accuracy: 0.9437, prior_entropy: 0.863, recall: 0.9437, relative_absolute_error: 0.2661, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2072, root_relative_squared_error: 0.4587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9684, kappa: 0.9226, kb_relative_information_score: 0.8817, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9684, predictive_accuracy: 0.9684, prior_entropy: 0.863, recall: 0.9684, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1548, root_relative_squared_error: 0.3428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9694, kappa: 0.9249, kb_relative_information_score: 0.8865, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9694, predictive_accuracy: 0.9694, prior_entropy: 0.863, recall: 0.9694, relative_absolute_error: 0.1186, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.3332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9728, kappa: 0.9333, kb_relative_information_score: 0.9056, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9728, predictive_accuracy: 0.9728, prior_entropy: 0.863, recall: 0.9728, relative_absolute_error: 0.0962, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.3153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.969, kappa: 0.924, kb_relative_information_score: 0.8839, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.863, recall: 0.969, relative_absolute_error: 0.1195, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.3423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.9445, kappa: 0.8632, kb_relative_information_score: 0.7625, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9444, predictive_accuracy: 0.9448, prior_entropy: 0.863, recall: 0.9448, relative_absolute_error: 0.255, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2045, root_relative_squared_error: 0.4528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.9594, kappa: 0.9004, kb_relative_information_score: 0.8921, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9593, predictive_accuracy: 0.9594, prior_entropy: 0.863, recall: 0.9594, relative_absolute_error: 0.0995, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2015, root_relative_squared_error: 0.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9357, kappa: 0.8407, kb_relative_information_score: 24269.0469, mean_absolute_error: 0.1317, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9362, predictive_accuracy: 0.9366, prior_entropy: 0.863, recall: 0.9366, relative_absolute_error: 0.3226, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.4885, scimark_benchmark: 1290.1376, usercpu_time_millis: 1373.459, usercpu_time_millis_testing: 3.432, usercpu_time_millis_training: 1370.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.9648, kappa: 0.9135, kb_relative_information_score: 0.9066, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9647, predictive_accuracy: 0.9649, prior_entropy: 0.863, recall: 0.9649, relative_absolute_error: 0.0861, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.938, f_measure: 0.943, kappa: 0.8614, kb_relative_information_score: 0.8472, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.944, predictive_accuracy: 0.9425, prior_entropy: 0.863, recall: 0.9425, relative_absolute_error: 0.1409, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.5309,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

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

OpenML APIs