OpenML
Supervised Classification on blood-transfusion-service-center

Supervised Classification on blood-transfusion-service-center

Task 10101 Supervised Classification blood-transfusion-service-center 383451 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_218 study_50 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.7405, kappa: 0.2361, kb_relative_information_score: 0.2854, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7384, predictive_accuracy: 0.7701, prior_entropy: 0.7916, recall: 0.7701, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4795, root_relative_squared_error: 1.1261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5364, f_measure: 0.6895, kappa: 0.0871, kb_relative_information_score: 0.1399, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6741, predictive_accuracy: 0.7233, prior_entropy: 0.7916, recall: 0.7233, relative_absolute_error: 0.7623, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5261, root_relative_squared_error: 1.2353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5841, f_measure: 0.7351, kappa: 0.2136, kb_relative_information_score: 0.302, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7427, predictive_accuracy: 0.7754, prior_entropy: 0.7916, recall: 0.7754, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4739, root_relative_squared_error: 1.1129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5134, f_measure: 0.6764, kappa: 0.0373, kb_relative_information_score: 0.223, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.669, predictive_accuracy: 0.75, prior_entropy: 0.7916, recall: 0.75, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5, root_relative_squared_error: 1.1742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5134, f_measure: 0.6764, kappa: 0.0373, kb_relative_information_score: 0.223, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.669, predictive_accuracy: 0.75, prior_entropy: 0.7916, recall: 0.75, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5, root_relative_squared_error: 1.1742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.7405, kappa: 0.2361, kb_relative_information_score: 0.2854, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7384, predictive_accuracy: 0.7701, prior_entropy: 0.7916, recall: 0.7701, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4795, root_relative_squared_error: 1.1261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.6875, kappa: 0.0744, kb_relative_information_score: 0.2812, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7419, predictive_accuracy: 0.7687, prior_entropy: 0.7916, recall: 0.7687, relative_absolute_error: 0.6371, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4809, root_relative_squared_error: 1.1293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5134, f_measure: 0.6764, kappa: 0.0373, kb_relative_information_score: 0.223, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.669, predictive_accuracy: 0.75, prior_entropy: 0.7916, recall: 0.75, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5, root_relative_squared_error: 1.1742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5841, f_measure: 0.7351, kappa: 0.2136, kb_relative_information_score: 0.302, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7427, predictive_accuracy: 0.7754, prior_entropy: 0.7916, recall: 0.7754, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4739, root_relative_squared_error: 1.1129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5841, f_measure: 0.7351, kappa: 0.2136, kb_relative_information_score: 0.302, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7427, predictive_accuracy: 0.7754, prior_entropy: 0.7916, recall: 0.7754, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4739, root_relative_squared_error: 1.1129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5134, f_measure: 0.6764, kappa: 0.0373, kb_relative_information_score: 0.223, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.669, predictive_accuracy: 0.75, prior_entropy: 0.7916, recall: 0.75, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5, root_relative_squared_error: 1.1742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5841, f_measure: 0.7351, kappa: 0.2136, kb_relative_information_score: 0.302, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7427, predictive_accuracy: 0.7754, prior_entropy: 0.7916, recall: 0.7754, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4739, root_relative_squared_error: 1.1129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6003, f_measure: 0.7392, kappa: 0.2361, kb_relative_information_score: 0.2687, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.734, predictive_accuracy: 0.7647, prior_entropy: 0.7916, recall: 0.7647, relative_absolute_error: 0.6481, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4851, root_relative_squared_error: 1.1391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6003, f_measure: 0.7392, kappa: 0.2361, kb_relative_information_score: 0.2687, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.734, predictive_accuracy: 0.7647, prior_entropy: 0.7916, recall: 0.7647, relative_absolute_error: 0.6481, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4851, root_relative_squared_error: 1.1391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5434, f_measure: 0.692, kappa: 0.1008, kb_relative_information_score: 0.1275, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6777, predictive_accuracy: 0.7193, prior_entropy: 0.7916, recall: 0.7193, relative_absolute_error: 0.7733, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5299, root_relative_squared_error: 1.2443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5134, f_measure: 0.6764, kappa: 0.0373, kb_relative_information_score: 0.223, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.669, predictive_accuracy: 0.75, prior_entropy: 0.7916, recall: 0.75, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5, root_relative_squared_error: 1.1742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5313, f_measure: 0.6928, kappa: 0.0853, kb_relative_information_score: 0.2438, mean_absolute_error: 0.2433, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6969, predictive_accuracy: 0.7567, prior_entropy: 0.7916, recall: 0.7567, relative_absolute_error: 0.6702, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4933, root_relative_squared_error: 1.1583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6003, f_measure: 0.7392, kappa: 0.2361, kb_relative_information_score: 0.2687, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.734, predictive_accuracy: 0.7647, prior_entropy: 0.7916, recall: 0.7647, relative_absolute_error: 0.6481, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4851, root_relative_squared_error: 1.1391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6003, f_measure: 0.7392, kappa: 0.2361, kb_relative_information_score: 0.2687, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.734, predictive_accuracy: 0.7647, prior_entropy: 0.7916, recall: 0.7647, relative_absolute_error: 0.6481, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4851, root_relative_squared_error: 1.1391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6003, f_measure: 0.7392, kappa: 0.2361, kb_relative_information_score: 0.2687, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.734, predictive_accuracy: 0.7647, prior_entropy: 0.7916, recall: 0.7647, relative_absolute_error: 0.6481, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4851, root_relative_squared_error: 1.1391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5134, f_measure: 0.6764, kappa: 0.0373, kb_relative_information_score: 0.223, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.669, predictive_accuracy: 0.75, prior_entropy: 0.7916, recall: 0.75, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5, root_relative_squared_error: 1.1742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5638, f_measure: 0.7076, kappa: 0.1475, kb_relative_information_score: 0.169, mean_absolute_error: 0.2674, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.696, predictive_accuracy: 0.7326, prior_entropy: 0.7916, recall: 0.7326, relative_absolute_error: 0.7365, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5171, root_relative_squared_error: 1.2143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5434, f_measure: 0.692, kappa: 0.1008, kb_relative_information_score: 0.1275, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6777, predictive_accuracy: 0.7193, prior_entropy: 0.7916, recall: 0.7193, relative_absolute_error: 0.7733, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5299, root_relative_squared_error: 1.2443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5404, f_measure: 0.6909, kappa: 0.095, kb_relative_information_score: 0.1316, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6761, predictive_accuracy: 0.7206, prior_entropy: 0.7916, recall: 0.7206, relative_absolute_error: 0.7696, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5286, root_relative_squared_error: 1.2413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5134, f_measure: 0.6764, kappa: 0.0373, kb_relative_information_score: 0.223, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.669, predictive_accuracy: 0.75, prior_entropy: 0.7916, recall: 0.75, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5, root_relative_squared_error: 1.1742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5604, f_measure: 0.7176, kappa: 0.1593, kb_relative_information_score: 0.2812, mean_absolute_error: 0.2313, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7289, predictive_accuracy: 0.7687, prior_entropy: 0.7916, recall: 0.7687, relative_absolute_error: 0.6371, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4809, root_relative_squared_error: 1.1293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5962, f_measure: 0.7317, kappa: 0.2201, kb_relative_information_score: 0.2313, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7236, predictive_accuracy: 0.7527, prior_entropy: 0.7916, recall: 0.7527, relative_absolute_error: 0.6813, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.1679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.7405, kappa: 0.2361, kb_relative_information_score: 0.2854, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7384, predictive_accuracy: 0.7701, prior_entropy: 0.7916, recall: 0.7701, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4795, root_relative_squared_error: 1.1261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.6585, kappa: -0.0027, kb_relative_information_score: 0.2563, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.5805, predictive_accuracy: 0.7607, prior_entropy: 0.7916, recall: 0.7607, relative_absolute_error: 0.6592, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4892, root_relative_squared_error: 1.1488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.7405, kappa: 0.2361, kb_relative_information_score: 0.2854, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7384, predictive_accuracy: 0.7701, prior_entropy: 0.7916, recall: 0.7701, relative_absolute_error: 0.6334, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4795, root_relative_squared_error: 1.1261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5722, f_measure: 0.7067, kappa: 0.1585, kb_relative_information_score: 0.1358, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6969, predictive_accuracy: 0.7219, prior_entropy: 0.7916, recall: 0.7219, relative_absolute_error: 0.766, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5273, root_relative_squared_error: 1.2383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5694, f_measure: 0.7174, kappa: 0.1676, kb_relative_information_score: 0.223, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7094, predictive_accuracy: 0.75, prior_entropy: 0.7916, recall: 0.75, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5, root_relative_squared_error: 1.1742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.615, f_measure: 0.7511, kappa: 0.2709, kb_relative_information_score: 0.302, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7483, predictive_accuracy: 0.7754, prior_entropy: 0.7916, recall: 0.7754, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4739, root_relative_squared_error: 1.1129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5857, f_measure: 0.7263, kappa: 0.2, kb_relative_information_score: 0.2272, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.718, predictive_accuracy: 0.7513, prior_entropy: 0.7916, recall: 0.7513, relative_absolute_error: 0.6849, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5857, f_measure: 0.7263, kappa: 0.2, kb_relative_information_score: 0.2272, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.718, predictive_accuracy: 0.7513, prior_entropy: 0.7916, recall: 0.7513, relative_absolute_error: 0.6849, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6031, f_measure: 0.7412, kappa: 0.2422, kb_relative_information_score: 0.2729, mean_absolute_error: 0.234, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7361, predictive_accuracy: 0.766, prior_entropy: 0.7916, recall: 0.766, relative_absolute_error: 0.6444, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4837, root_relative_squared_error: 1.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5228, f_measure: 0.6852, kappa: 0.0628, kb_relative_information_score: 0.2313, mean_absolute_error: 0.2473, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6838, predictive_accuracy: 0.7527, prior_entropy: 0.7916, recall: 0.7527, relative_absolute_error: 0.6813, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4973, root_relative_squared_error: 1.1679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5857, f_measure: 0.7263, kappa: 0.2, kb_relative_information_score: 0.2272, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.718, predictive_accuracy: 0.7513, prior_entropy: 0.7916, recall: 0.7513, relative_absolute_error: 0.6849, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5717, f_measure: 0.7102, kappa: 0.1614, kb_relative_information_score: 0.1607, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6995, predictive_accuracy: 0.7299, prior_entropy: 0.7916, recall: 0.7299, relative_absolute_error: 0.7439, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.2203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4388, f_measure: 0.5926, kappa: -0.1221, kb_relative_information_score: -0.2672, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.593, predictive_accuracy: 0.5922, prior_entropy: 0.7916, recall: 0.5922, relative_absolute_error: 1.1232, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.6386, root_relative_squared_error: 1.4995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.6594, kappa: -0.0087, kb_relative_information_score: 0.2189, mean_absolute_error: 0.2513, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6245, predictive_accuracy: 0.7487, prior_entropy: 0.7916, recall: 0.7487, relative_absolute_error: 0.6923, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.1773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5717, f_measure: 0.7102, kappa: 0.1614, kb_relative_information_score: 0.1607, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6995, predictive_accuracy: 0.7299, prior_entropy: 0.7916, recall: 0.7299, relative_absolute_error: 0.7439, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.2203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5253, f_measure: 0.6866, kappa: 0.0671, kb_relative_information_score: 0.2064, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6769, predictive_accuracy: 0.7447, prior_entropy: 0.7916, recall: 0.7447, relative_absolute_error: 0.7034, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5053, root_relative_squared_error: 1.1866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5685, f_measure: 0.7215, kappa: 0.1735, kb_relative_information_score: 0.2646, mean_absolute_error: 0.2366, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7223, predictive_accuracy: 0.7634, prior_entropy: 0.7916, recall: 0.7634, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4864, root_relative_squared_error: 1.1423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6131, f_measure: 0.7502, kappa: 0.2675, kb_relative_information_score: 0.302, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.7478, predictive_accuracy: 0.7754, prior_entropy: 0.7916, recall: 0.7754, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4739, root_relative_squared_error: 1.1129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5615, f_measure: 0.7026, kappa: 0.1388, kb_relative_information_score: 0.1399, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6909, predictive_accuracy: 0.7233, prior_entropy: 0.7916, recall: 0.7233, relative_absolute_error: 0.7623, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5261, root_relative_squared_error: 1.2353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5401, f_measure: 0.6873, kappa: 0.0915, kb_relative_information_score: 0.1025, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.363, number_of_instances: 748, precision: 0.6731, predictive_accuracy: 0.7112, prior_entropy: 0.7916, recall: 0.7112, relative_absolute_error: 0.7954, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.5374, root_relative_squared_error: 1.2619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.2604, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.363, number_of_instances: 748, predictive_accuracy: 0.762, prior_entropy: 0.7916, recall: 0.762, relative_absolute_error: 0.6555, root_mean_prior_squared_error: 0.4258, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.1455,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

OpenML bootcamp

From your own software

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

OpenML APIs