OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31677 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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31677 Runs

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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: 0.9801, 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: 0.9801, 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: 0.5001, 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: 0.5001, 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: 0.9961, 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: 0.9961, 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: 0.9928, 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: 0.996, 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: 0.9858, 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: 0.9858, 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: 0.9936, 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: 0.9936, 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: 0.9963, 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: 0.5692, 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: 0.5692, 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: 0.9958, 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: 0.6259, 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: 0.6259, 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: 0.9945, 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: 0.991, 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: 0.9945, 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: 0.9817, 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: 0.9817, 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: 0.9837, 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: 0.9837, 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: 0.9951, 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: 0.9951, 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: 0.9889, 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: 0.9917, 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: 0.9469, 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: 0.9938, 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: 0.9889, 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: 0.9811, 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: 0.9913, 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: 0.9907, 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: 0.9948, 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: 0.9196, 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: 0.9927, 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: 0.9952, 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: 0.9961, 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: 0.5, 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: 0.9935, 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: 0.9959, 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: 0.996, 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: 0.9965, 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: 0.9933, 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: 0.5174, 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: 0.9955, 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: 0.9962, f_measure: 0.9744, kappa: 0.9372, kb_relative_information_score: 0.9177, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9744, predictive_accuracy: 0.9744, prior_entropy: 0.863, recall: 0.9744, relative_absolute_error: 0.0818, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.3103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9687, kappa: 0.9233, kb_relative_information_score: 0.8832, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9687, predictive_accuracy: 0.9687, prior_entropy: 0.863, recall: 0.9687, relative_absolute_error: 0.1207, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1537, root_relative_squared_error: 0.3402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, f_measure: 0.9237, kappa: 0.8124, kb_relative_information_score: 0.7937, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9235, predictive_accuracy: 0.924, prior_entropy: 0.863, recall: 0.924, relative_absolute_error: 0.1917, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2679, root_relative_squared_error: 0.593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9714, kappa: 0.9298, kb_relative_information_score: 0.8979, mean_absolute_error: 0.0428, 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: 0.1048, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.146, root_relative_squared_error: 0.3233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9654, kappa: 0.9151, kb_relative_information_score: 0.8827, mean_absolute_error: 0.0483, 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: 0.1183, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.357,
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: 0.9925, f_measure: 0.9613, kappa: 0.905, kb_relative_information_score: 0.8511, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9612, predictive_accuracy: 0.9613, prior_entropy: 0.863, recall: 0.9613, relative_absolute_error: 0.1553, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.3748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9695, kappa: 0.9253, kb_relative_information_score: 0.8871, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9695, predictive_accuracy: 0.9695, prior_entropy: 0.863, recall: 0.9695, relative_absolute_error: 0.1162, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1518, root_relative_squared_error: 0.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, 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: 0.9934, 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: 0.9959, 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: 0.9956, 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: 0.9942, f_measure: 0.9682, kappa: 0.9221, kb_relative_information_score: 0.8957, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9682, predictive_accuracy: 0.9683, prior_entropy: 0.863, recall: 0.9683, relative_absolute_error: 0.1043, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.155, root_relative_squared_error: 0.3431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9479, kappa: 0.8724, kb_relative_information_score: 0.8263, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9479, predictive_accuracy: 0.9479, prior_entropy: 0.863, recall: 0.9479, relative_absolute_error: 0.1742, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.4381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9748, kappa: 0.9382, kb_relative_information_score: 0.9306, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9748, predictive_accuracy: 0.9748, prior_entropy: 0.863, recall: 0.9748, relative_absolute_error: 0.0653, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1441, root_relative_squared_error: 0.319,
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: 0.9826, 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: 0.986, f_measure: 0.947, kappa: 0.8702, kb_relative_information_score: 0.8067, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.947, predictive_accuracy: 0.947, prior_entropy: 0.863, recall: 0.947, relative_absolute_error: 0.1985, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.4425,
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: 0.2046, root_relative_squared_error: 0.4528,
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: 0.9959, f_measure: 0.9731, kappa: 0.9339, kb_relative_information_score: 0.907, mean_absolute_error: 0.0385, 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: 0.0943, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.3151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9691, kappa: 0.9242, kb_relative_information_score: 0.8852, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9691, predictive_accuracy: 0.9691, prior_entropy: 0.863, recall: 0.9691, relative_absolute_error: 0.1185, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.152, root_relative_squared_error: 0.3364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9671, kappa: 0.9194, kb_relative_information_score: 0.8446, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9671, predictive_accuracy: 0.9672, prior_entropy: 0.863, recall: 0.9672, relative_absolute_error: 0.1741, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1589, root_relative_squared_error: 0.3517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9515, kappa: 0.8811, kb_relative_information_score: 0.8504, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9515, predictive_accuracy: 0.9515, prior_entropy: 0.863, recall: 0.9515, relative_absolute_error: 0.146, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9698, kappa: 0.926, kb_relative_information_score: 0.8856, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9698, predictive_accuracy: 0.9699, prior_entropy: 0.863, recall: 0.9699, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9698, kappa: 0.926, kb_relative_information_score: 0.8856, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9698, predictive_accuracy: 0.9699, prior_entropy: 0.863, recall: 0.9699, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9698, kappa: 0.926, kb_relative_information_score: 0.8856, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9698, predictive_accuracy: 0.9699, prior_entropy: 0.863, recall: 0.9699, relative_absolute_error: 0.1187, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1512, root_relative_squared_error: 0.3347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.9514, kappa: 0.8814, kb_relative_information_score: 0.8702, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9518, predictive_accuracy: 0.9511, prior_entropy: 0.863, recall: 0.9511, relative_absolute_error: 0.1197, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.221, root_relative_squared_error: 0.4894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.964, kappa: 0.9116, kb_relative_information_score: 0.9044, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9639, predictive_accuracy: 0.964, prior_entropy: 0.863, recall: 0.964, relative_absolute_error: 0.0882, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1897, root_relative_squared_error: 0.4199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.9644, kappa: 0.9125, kb_relative_information_score: 0.9056, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9644, predictive_accuracy: 0.9645, prior_entropy: 0.863, recall: 0.9645, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1885, root_relative_squared_error: 0.4172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.9616, kappa: 0.9058, kb_relative_information_score: 0.8983, mean_absolute_error: 0.0383, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9616, predictive_accuracy: 0.9617, prior_entropy: 0.863, recall: 0.9617, relative_absolute_error: 0.0938, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.4331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.9411, kappa: 0.8555, kb_relative_information_score: 0.844, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9411, predictive_accuracy: 0.9413, prior_entropy: 0.863, recall: 0.9413, relative_absolute_error: 0.1439, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.5365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.901, kappa: 0.7616, kb_relative_information_score: 0.733, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9044, predictive_accuracy: 0.8995, prior_entropy: 0.863, recall: 0.8995, relative_absolute_error: 0.2462, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.317, root_relative_squared_error: 0.7017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9629, kappa: 0.9092, kb_relative_information_score: 0.9016, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9629, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.0908, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.4261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.9588, kappa: 0.8988, kb_relative_information_score: 0.8908, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9588, predictive_accuracy: 0.9589, prior_entropy: 0.863, recall: 0.9589, relative_absolute_error: 0.1007, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.4487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.954, kappa: 0.8877, kb_relative_information_score: 0.8775, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9542, predictive_accuracy: 0.9539, prior_entropy: 0.863, recall: 0.9539, relative_absolute_error: 0.113, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.4753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9548, f_measure: 0.965, kappa: 0.9141, kb_relative_information_score: 0.9073, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.965, predictive_accuracy: 0.9651, prior_entropy: 0.863, recall: 0.9651, relative_absolute_error: 0.0855, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9496, f_measure: 0.962, kappa: 0.9065, kb_relative_information_score: 0.8995, mean_absolute_error: 0.0378, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.9622, prior_entropy: 0.863, recall: 0.9622, relative_absolute_error: 0.0927, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.4306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9529, f_measure: 0.9621, kappa: 0.907, kb_relative_information_score: 0.8992, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.9621, prior_entropy: 0.863, recall: 0.9621, relative_absolute_error: 0.0929, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.4311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.9651, kappa: 0.9144, kb_relative_information_score: 0.9076, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9651, predictive_accuracy: 0.9652, prior_entropy: 0.863, recall: 0.9652, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.4129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.9616, kappa: 0.9058, kb_relative_information_score: 0.898, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9615, predictive_accuracy: 0.9616, prior_entropy: 0.863, recall: 0.9616, relative_absolute_error: 0.0941, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9134, f_measure: 0.9193, kappa: 0.8051, kb_relative_information_score: 0.783, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9217, predictive_accuracy: 0.9183, prior_entropy: 0.863, recall: 0.9183, relative_absolute_error: 0.2001, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.6327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.9405, kappa: 0.8545, kb_relative_information_score: 0.8414, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9406, predictive_accuracy: 0.9403, prior_entropy: 0.863, recall: 0.9403, relative_absolute_error: 0.1463, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.5408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.9613, kappa: 0.9051, kb_relative_information_score: 0.8974, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.0946, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.9247, kappa: 0.8166, kb_relative_information_score: 0.7986, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9254, predictive_accuracy: 0.9242, prior_entropy: 0.863, recall: 0.9242, relative_absolute_error: 0.1857, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.6094,

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