Task
Supervised Classification on vertebra-column

Supervised Classification on vertebra-column

Task 9940 Supervised Classification vertebra-column 93 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.8288, kappa: 0.6078, kb_relative_information_score: 159.3625, mean_absolute_error: 0.2119, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8286, predictive_accuracy: 0.829, prior_entropy: 0.9084, recall: 0.829, relative_absolute_error: 0.4845, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.3469, root_relative_squared_error: 0.7421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.8467, kappa: 0.6417, kb_relative_information_score: 164.0369, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8504, predictive_accuracy: 0.8516, prior_entropy: 0.9084, recall: 0.8516, relative_absolute_error: 0.4813, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.3283, root_relative_squared_error: 0.7022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.7872, kappa: 0.5435, kb_relative_information_score: 140.901, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.817, predictive_accuracy: 0.7806, prior_entropy: 0.9084, recall: 0.7806, relative_absolute_error: 0.5225, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, f_measure: 0.8015, kappa: 0.5495, kb_relative_information_score: 124.9989, mean_absolute_error: 0.2658, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8036, predictive_accuracy: 0.8, prior_entropy: 0.9084, recall: 0.8, relative_absolute_error: 0.6075, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.7875, kappa: 0.5478, kb_relative_information_score: 145.7068, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8226, predictive_accuracy: 0.7806, prior_entropy: 0.9084, recall: 0.7806, relative_absolute_error: 0.5012, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7511, f_measure: 0.7636, kappa: 0.4569, kb_relative_information_score: 104.8599, mean_absolute_error: 0.2861, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.7628, predictive_accuracy: 0.7645, prior_entropy: 0.9084, recall: 0.7645, relative_absolute_error: 0.654, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4422, root_relative_squared_error: 0.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.8059, kappa: 0.5548, kb_relative_information_score: 161.809, mean_absolute_error: 0.1975, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8055, predictive_accuracy: 0.8065, prior_entropy: 0.9084, recall: 0.8065, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.9136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.8463, kappa: 0.6512, kb_relative_information_score: 169.8847, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8481, predictive_accuracy: 0.8452, prior_entropy: 0.9084, recall: 0.8452, relative_absolute_error: 0.4433, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.7334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.817, kappa: 0.5952, kb_relative_information_score: 156.827, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8294, predictive_accuracy: 0.8129, prior_entropy: 0.9084, recall: 0.8129, relative_absolute_error: 0.476, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.376, root_relative_squared_error: 0.8044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8976, f_measure: 0.8285, kappa: 0.6155, kb_relative_information_score: 145.6615, mean_absolute_error: 0.2289, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8347, predictive_accuracy: 0.8258, prior_entropy: 0.9084, recall: 0.8258, relative_absolute_error: 0.5232, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.7889, kappa: 0.5139, kb_relative_information_score: 121.5118, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.7879, predictive_accuracy: 0.7903, prior_entropy: 0.9084, recall: 0.7903, relative_absolute_error: 0.5974, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.3802, root_relative_squared_error: 0.8134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.8031, kappa: 0.5801, kb_relative_information_score: 158.7429, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8369, predictive_accuracy: 0.7968, prior_entropy: 0.9084, recall: 0.7968, relative_absolute_error: 0.4667, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.7906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.7397, kappa: 0.3848, kb_relative_information_score: 141.4848, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.7725, predictive_accuracy: 0.7677, prior_entropy: 0.9084, recall: 0.7677, relative_absolute_error: 0.5228, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.7784, kappa: 0.5356, kb_relative_information_score: 132.5346, mean_absolute_error: 0.2402, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8238, predictive_accuracy: 0.771, prior_entropy: 0.9084, recall: 0.771, relative_absolute_error: 0.5492, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.9313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8288, kappa: 0.6078, kb_relative_information_score: 161.2387, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8286, predictive_accuracy: 0.829, prior_entropy: 0.9084, recall: 0.829, relative_absolute_error: 0.4728, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.3432, root_relative_squared_error: 0.7341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.897, f_measure: 0.8045, kappa: 0.5442, kb_relative_information_score: 103.6426, mean_absolute_error: 0.2989, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.805, predictive_accuracy: 0.8097, prior_entropy: 0.9084, recall: 0.8097, relative_absolute_error: 0.6832, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.3605, root_relative_squared_error: 0.7712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5471, kb_relative_information_score: -0.0675, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.4589, predictive_accuracy: 0.6774, prior_entropy: 0.9084, recall: 0.6774, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4675, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.7636, kappa: 0.4569, kb_relative_information_score: 112.9933, mean_absolute_error: 0.2681, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.7628, predictive_accuracy: 0.7645, prior_entropy: 0.9084, recall: 0.7645, relative_absolute_error: 0.6128, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.8433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.7566, kappa: 0.4477, kb_relative_information_score: 106.3179, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.759, predictive_accuracy: 0.7548, prior_entropy: 0.9084, recall: 0.7548, relative_absolute_error: 0.6349, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8138, kappa: 0.5763, kb_relative_information_score: 137.015, mean_absolute_error: 0.2397, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8151, predictive_accuracy: 0.8129, prior_entropy: 0.9084, recall: 0.8129, relative_absolute_error: 0.548, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.7976, kappa: 0.5248, kb_relative_information_score: 150.5488, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8025, predictive_accuracy: 0.8065, prior_entropy: 0.9084, recall: 0.8065, relative_absolute_error: 0.4985, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.8388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.7875, kappa: 0.5478, kb_relative_information_score: 145.6332, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8226, predictive_accuracy: 0.7806, prior_entropy: 0.9084, recall: 0.7806, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.9184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.7499, kappa: 0.4655, kb_relative_information_score: 113.2949, mean_absolute_error: 0.2643, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.7821, predictive_accuracy: 0.7419, prior_entropy: 0.9084, recall: 0.7419, relative_absolute_error: 0.6042, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.9233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.7976, kappa: 0.5248, kb_relative_information_score: 150.5488, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8025, predictive_accuracy: 0.8065, prior_entropy: 0.9084, recall: 0.8065, relative_absolute_error: 0.4985, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.8388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.8148, kappa: 0.5686, kb_relative_information_score: 146.0144, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8153, predictive_accuracy: 0.8194, prior_entropy: 0.9084, recall: 0.8194, relative_absolute_error: 0.5343, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.3546, root_relative_squared_error: 0.7587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7017, f_measure: 0.7669, kappa: 0.4492, kb_relative_information_score: 147.9478, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.7818, predictive_accuracy: 0.7839, prior_entropy: 0.9084, recall: 0.7839, relative_absolute_error: 0.4941, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8777, f_measure: 0.7875, kappa: 0.5478, kb_relative_information_score: 145.688, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8226, predictive_accuracy: 0.7806, prior_entropy: 0.9084, recall: 0.7806, relative_absolute_error: 0.5011, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4291, root_relative_squared_error: 0.918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8387, kappa: 0.631, kb_relative_information_score: 165.5424, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8387, predictive_accuracy: 0.8387, prior_entropy: 0.9084, recall: 0.8387, relative_absolute_error: 0.4668, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, f_measure: 0.7414, kappa: 0.3885, kb_relative_information_score: 135.8851, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.7701, predictive_accuracy: 0.7677, prior_entropy: 0.9084, recall: 0.7677, relative_absolute_error: 0.5309, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4819, root_relative_squared_error: 1.0309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.7872, kappa: 0.5435, kb_relative_information_score: 145.3025, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.817, predictive_accuracy: 0.7806, prior_entropy: 0.9084, recall: 0.7806, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.9117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.51, f_measure: 0.5619, kappa: 0.0269, kb_relative_information_score: 73.1593, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.7845, predictive_accuracy: 0.6839, prior_entropy: 0.9084, recall: 0.6839, relative_absolute_error: 0.7227, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.5623, root_relative_squared_error: 1.2028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4046, f_measure: 0.5456, kappa: -0.0064, kb_relative_information_score: -2.5957, mean_absolute_error: 0.4397, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.4582, predictive_accuracy: 0.6742, prior_entropy: 0.9084, recall: 0.6742, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4698, root_relative_squared_error: 1.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, f_measure: 0.8569, kappa: 0.6701, kb_relative_information_score: 156.7855, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8564, predictive_accuracy: 0.8581, prior_entropy: 0.9084, recall: 0.8581, relative_absolute_error: 0.4948, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.7195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.803, kappa: 0.5486, kb_relative_information_score: 162.423, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8027, predictive_accuracy: 0.8032, prior_entropy: 0.9084, recall: 0.8032, relative_absolute_error: 0.4498, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.9489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.8297, kappa: 0.6119, kb_relative_information_score: 181.7232, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8305, predictive_accuracy: 0.829, prior_entropy: 0.9084, recall: 0.829, relative_absolute_error: 0.3908, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.8413, kappa: 0.6355, kb_relative_information_score: 191.3734, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8408, predictive_accuracy: 0.8419, prior_entropy: 0.9084, recall: 0.8419, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7869, f_measure: 0.8304, kappa: 0.6039, kb_relative_information_score: 186.5483, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8327, predictive_accuracy: 0.8355, prior_entropy: 0.9084, recall: 0.8355, relative_absolute_error: 0.3761, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7471, f_measure: 0.7985, kappa: 0.5274, kb_relative_information_score: 164.8355, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.802, predictive_accuracy: 0.8065, prior_entropy: 0.9084, recall: 0.8065, relative_absolute_error: 0.4424, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.8459, kappa: 0.6494, kb_relative_information_score: 193.7859, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.847, predictive_accuracy: 0.8452, prior_entropy: 0.9084, recall: 0.8452, relative_absolute_error: 0.354, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.8418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7571, f_measure: 0.806, kappa: 0.5457, kb_relative_information_score: 169.6606, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8088, predictive_accuracy: 0.8129, prior_entropy: 0.9084, recall: 0.8129, relative_absolute_error: 0.4277, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.9253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, f_measure: 0.7859, kappa: 0.4987, kb_relative_information_score: 155.1854, mean_absolute_error: 0.2065, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.7876, predictive_accuracy: 0.7935, prior_entropy: 0.9084, recall: 0.7935, relative_absolute_error: 0.4719, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.8447, kappa: 0.6438, kb_relative_information_score: 193.7859, mean_absolute_error: 0.1548, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8444, predictive_accuracy: 0.8452, prior_entropy: 0.9084, recall: 0.8452, relative_absolute_error: 0.354, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.8418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8131, f_measure: 0.8357, kappa: 0.6246, kb_relative_information_score: 186.5483, mean_absolute_error: 0.1645, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8359, predictive_accuracy: 0.8355, prior_entropy: 0.9084, recall: 0.8355, relative_absolute_error: 0.3761, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4056, root_relative_squared_error: 0.8677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7836, f_measure: 0.8099, kappa: 0.5657, kb_relative_information_score: 167.248, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8102, predictive_accuracy: 0.8097, prior_entropy: 0.9084, recall: 0.8097, relative_absolute_error: 0.4351, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.9332, usercpu_time_millis: 370.89, usercpu_time_millis_testing: 4.657, usercpu_time_millis_training: 366.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.8173, kappa: 0.5847, kb_relative_information_score: 172.0731, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8188, predictive_accuracy: 0.8161, prior_entropy: 0.9084, recall: 0.8161, relative_absolute_error: 0.4203, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.9173, usercpu_time_millis: 91.318, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 90.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.8094, kappa: 0.5634, kb_relative_information_score: 167.248, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8092, predictive_accuracy: 0.8097, prior_entropy: 0.9084, recall: 0.8097, relative_absolute_error: 0.4351, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4363, root_relative_squared_error: 0.9332, usercpu_time_millis: 13.017, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 12.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8305, f_measure: 0.849, kappa: 0.6558, kb_relative_information_score: 196.1984, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8497, predictive_accuracy: 0.8484, prior_entropy: 0.9084, recall: 0.8484, relative_absolute_error: 0.3466, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.833, usercpu_time_millis: 0.634, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8276, f_measure: 0.8512, kappa: 0.6587, kb_relative_information_score: 198.611, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8509, predictive_accuracy: 0.8516, prior_entropy: 0.9084, recall: 0.8516, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.824, usercpu_time_millis: 0.291, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5024, f_measure: 0.1642, kappa: 0.0031, kb_relative_information_score: -194.6319, mean_absolute_error: 0.6742, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.7818, predictive_accuracy: 0.3258, prior_entropy: 0.9084, recall: 0.3258, relative_absolute_error: 1.5412, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.8211, root_relative_squared_error: 1.7565, usercpu_time_millis: 0.294, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8024, f_measure: 0.8363, kappa: 0.621, kb_relative_information_score: 188.9608, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8359, predictive_accuracy: 0.8387, prior_entropy: 0.9084, recall: 0.8387, relative_absolute_error: 0.3687, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8591, usercpu_time_millis: 13.562, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 13.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8252, f_measure: 0.8482, kappa: 0.6522, kb_relative_information_score: 196.1984, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.848, predictive_accuracy: 0.8484, prior_entropy: 0.9084, recall: 0.8484, relative_absolute_error: 0.3466, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.833, usercpu_time_millis: 0.158, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.8642, kappa: 0.6884, kb_relative_information_score: 208.2611, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8639, predictive_accuracy: 0.8645, prior_entropy: 0.9084, recall: 0.8645, relative_absolute_error: 0.3097, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.3681, root_relative_squared_error: 0.7874, usercpu_time_millis: 4.016, usercpu_time_millis_testing: 0.476, usercpu_time_millis_training: 3.54,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.8478, kappa: 0.6503, kb_relative_information_score: 196.1984, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8473, predictive_accuracy: 0.8484, prior_entropy: 0.9084, recall: 0.8484, relative_absolute_error: 0.3466, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.833, usercpu_time_millis: 13.391, usercpu_time_millis_testing: 3.171, usercpu_time_millis_training: 10.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8057, f_measure: 0.8293, kappa: 0.6098, kb_relative_information_score: 181.7232, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8295, predictive_accuracy: 0.829, prior_entropy: 0.9084, recall: 0.829, relative_absolute_error: 0.3908, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8845, usercpu_time_millis: 0.193, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5471, kb_relative_information_score: 68.3342, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.4589, predictive_accuracy: 0.6774, prior_entropy: 0.9084, recall: 0.6774, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.568, root_relative_squared_error: 1.215, usercpu_time_millis: 0.262, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8074, f_measure: 0.8399, kappa: 0.6296, kb_relative_information_score: 191.3734, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8394, predictive_accuracy: 0.8419, prior_entropy: 0.9084, recall: 0.8419, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8505, usercpu_time_millis: 2.144, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 1.897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7748, f_measure: 0.8178, kappa: 0.5751, kb_relative_information_score: 176.8982, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8187, predictive_accuracy: 0.8226, prior_entropy: 0.9084, recall: 0.8226, relative_absolute_error: 0.4056, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.9011, usercpu_time_millis: 0.134, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.8278, kappa: 0.6036, kb_relative_information_score: 181.7232, mean_absolute_error: 0.171, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8271, predictive_accuracy: 0.829, prior_entropy: 0.9084, recall: 0.829, relative_absolute_error: 0.3908, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.8845, usercpu_time_millis: 2.401, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 2.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8493, kappa: 0.6576, kb_relative_information_score: 196.1984, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8507, predictive_accuracy: 0.8484, prior_entropy: 0.9084, recall: 0.8484, relative_absolute_error: 0.3466, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.833, usercpu_time_millis: 0.651, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.852, kappa: 0.6622, kb_relative_information_score: 198.611, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8524, predictive_accuracy: 0.8516, prior_entropy: 0.9084, recall: 0.8516, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.824, usercpu_time_millis: 3.159, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 3.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5612, f_measure: 0.636, kappa: 0.1513, kb_relative_information_score: 85.2219, mean_absolute_error: 0.3, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.6818, predictive_accuracy: 0.7, prior_entropy: 0.9084, recall: 0.7, relative_absolute_error: 0.6858, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.1717, usercpu_time_millis: 1.119, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 1.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7498, f_measure: 0.7993, kappa: 0.5301, kb_relative_information_score: 164.8355, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8017, predictive_accuracy: 0.8065, prior_entropy: 0.9084, recall: 0.8065, relative_absolute_error: 0.4424, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9411, usercpu_time_millis: 1.929, usercpu_time_millis_testing: 0.712, usercpu_time_millis_training: 1.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7755, f_measure: 0.7825, kappa: 0.5197, kb_relative_information_score: 143.1227, mean_absolute_error: 0.2226, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.796, predictive_accuracy: 0.7774, prior_entropy: 0.9084, recall: 0.7774, relative_absolute_error: 0.5088, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4718, root_relative_squared_error: 1.0092, usercpu_time_millis: 1.028, usercpu_time_millis_testing: 0.354, usercpu_time_millis_training: 0.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5471, kb_relative_information_score: 68.3342, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.4589, predictive_accuracy: 0.6774, prior_entropy: 0.9084, recall: 0.6774, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.568, root_relative_squared_error: 1.215, usercpu_time_millis: 0.091, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, f_measure: 0.739, kappa: 0.3969, kb_relative_information_score: 116.5848, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.737, predictive_accuracy: 0.7419, prior_entropy: 0.9084, recall: 0.7419, relative_absolute_error: 0.5899, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.508, root_relative_squared_error: 1.0867, usercpu_time_millis: 0.22, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.18,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.852, kappa: 0.6622, kb_relative_information_score: 198.611, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8524, predictive_accuracy: 0.8516, prior_entropy: 0.9084, recall: 0.8516, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.824, usercpu_time_millis: 0.196, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7813, kappa: 0.5367, kb_relative_information_score: 140.7102, mean_absolute_error: 0.2258, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8193, predictive_accuracy: 0.7742, prior_entropy: 0.9084, recall: 0.7742, relative_absolute_error: 0.5162, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4752, root_relative_squared_error: 1.0165, usercpu_time_millis: 0.358, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 0.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8493, kappa: 0.6576, kb_relative_information_score: 196.1984, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8507, predictive_accuracy: 0.8484, prior_entropy: 0.9084, recall: 0.8484, relative_absolute_error: 0.3466, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.833, usercpu_time_millis: 0.639, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.8524, kappa: 0.664, kb_relative_information_score: 198.611, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8534, predictive_accuracy: 0.8516, prior_entropy: 0.9084, recall: 0.8516, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.824, usercpu_time_millis: 0.585, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.8271, kappa: 0.6076, kb_relative_information_score: 179.3107, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.829, predictive_accuracy: 0.8258, prior_entropy: 0.9084, recall: 0.8258, relative_absolute_error: 0.3982, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8928, usercpu_time_millis: 0.038, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.8298, kappa: 0.6059, kb_relative_information_score: 184.1358, mean_absolute_error: 0.1677, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8293, predictive_accuracy: 0.8323, prior_entropy: 0.9084, recall: 0.8323, relative_absolute_error: 0.3835, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.8761, usercpu_time_millis: 0.163, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.8271, kappa: 0.6076, kb_relative_information_score: 179.3107, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.829, predictive_accuracy: 0.8258, prior_entropy: 0.9084, recall: 0.8258, relative_absolute_error: 0.3982, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4174, root_relative_squared_error: 0.8928, usercpu_time_millis: 0.047, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 0.039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8117, f_measure: 0.8221, kappa: 0.6013, kb_relative_information_score: 174.4856, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8284, predictive_accuracy: 0.8194, prior_entropy: 0.9084, recall: 0.8194, relative_absolute_error: 0.413, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.425, root_relative_squared_error: 0.9092, usercpu_time_millis: 0.14, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8276, f_measure: 0.8512, kappa: 0.6587, kb_relative_information_score: 198.611, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8509, predictive_accuracy: 0.8516, prior_entropy: 0.9084, recall: 0.8516, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.824, usercpu_time_millis: 0.345, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 0.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.805, f_measure: 0.8369, kappa: 0.6231, kb_relative_information_score: 188.9608, mean_absolute_error: 0.1613, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8363, predictive_accuracy: 0.8387, prior_entropy: 0.9084, recall: 0.8387, relative_absolute_error: 0.3687, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8591, usercpu_time_millis: 0.151, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.8557, kappa: 0.6722, kb_relative_information_score: 201.0235, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8571, predictive_accuracy: 0.8548, prior_entropy: 0.9084, recall: 0.8548, relative_absolute_error: 0.3318, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.381, root_relative_squared_error: 0.815, usercpu_time_millis: 0.4, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 0.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7445, f_measure: 0.7976, kappa: 0.5248, kb_relative_information_score: 164.8355, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8025, predictive_accuracy: 0.8065, prior_entropy: 0.9084, recall: 0.8065, relative_absolute_error: 0.4424, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9411, usercpu_time_millis: 2.184, usercpu_time_millis_testing: 0.802, usercpu_time_millis_training: 1.382,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7919, f_measure: 0.8061, kappa: 0.5646, kb_relative_information_score: 162.423, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8118, predictive_accuracy: 0.8032, prior_entropy: 0.9084, recall: 0.8032, relative_absolute_error: 0.4498, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.9489, usercpu_time_millis: 1.598, usercpu_time_millis_testing: 0.621, usercpu_time_millis_training: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.8211, kappa: 0.5951, kb_relative_information_score: 174.4856, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8239, predictive_accuracy: 0.8194, prior_entropy: 0.9084, recall: 0.8194, relative_absolute_error: 0.413, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.425, root_relative_squared_error: 0.9092, usercpu_time_millis: 0.957, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8274, f_measure: 0.8538, kappa: 0.6635, kb_relative_information_score: 201.0235, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8533, predictive_accuracy: 0.8548, prior_entropy: 0.9084, recall: 0.8548, relative_absolute_error: 0.3318, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.381, root_relative_squared_error: 0.815, usercpu_time_millis: 12.338, usercpu_time_millis_testing: 1.161, usercpu_time_millis_training: 11.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.8459, kappa: 0.6428, kb_relative_information_score: 196.1984, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8459, predictive_accuracy: 0.8484, prior_entropy: 0.9084, recall: 0.8484, relative_absolute_error: 0.3466, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.3894, root_relative_squared_error: 0.833, usercpu_time_millis: 1.119, usercpu_time_millis_testing: 0.131, usercpu_time_millis_training: 0.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.8524, kappa: 0.664, kb_relative_information_score: 198.611, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8534, predictive_accuracy: 0.8516, prior_entropy: 0.9084, recall: 0.8516, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.824, usercpu_time_millis: 0.635, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8224, f_measure: 0.8504, kappa: 0.6551, kb_relative_information_score: 198.611, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8498, predictive_accuracy: 0.8516, prior_entropy: 0.9084, recall: 0.8516, relative_absolute_error: 0.3392, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.3852, root_relative_squared_error: 0.824, usercpu_time_millis: 1.092, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5471, kb_relative_information_score: 68.3342, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.4589, predictive_accuracy: 0.6774, prior_entropy: 0.9084, recall: 0.6774, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.568, root_relative_squared_error: 1.215, usercpu_time_millis: 0.237, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5471, kb_relative_information_score: 68.3342, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.4589, predictive_accuracy: 0.6774, prior_entropy: 0.9084, recall: 0.6774, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.568, root_relative_squared_error: 1.215, usercpu_time_millis: 0.312, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.755, f_measure: 0.8009, kappa: 0.5352, kb_relative_information_score: 164.8355, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8015, predictive_accuracy: 0.8065, prior_entropy: 0.9084, recall: 0.8065, relative_absolute_error: 0.4424, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4399, root_relative_squared_error: 0.9411, usercpu_time_millis: 0.481, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 0.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8017, f_measure: 0.8154, kappa: 0.5849, kb_relative_information_score: 169.6606, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8205, predictive_accuracy: 0.8129, prior_entropy: 0.9084, recall: 0.8129, relative_absolute_error: 0.4277, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.9253, usercpu_time_millis: 0.571, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.8581, kappa: 0.6752, kb_relative_information_score: 203.436, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8581, predictive_accuracy: 0.8581, prior_entropy: 0.9084, recall: 0.8581, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.8059, usercpu_time_millis: 52.395, usercpu_time_millis_testing: 3.24, usercpu_time_millis_training: 49.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7236, f_measure: 0.7672, kappa: 0.4604, kb_relative_information_score: 138.2976, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.7656, predictive_accuracy: 0.771, prior_entropy: 0.9084, recall: 0.771, relative_absolute_error: 0.5236, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.4786, root_relative_squared_error: 1.0238, usercpu_time_millis: 1.078, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 0.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8231, f_measure: 0.8425, kappa: 0.6412, kb_relative_information_score: 191.3734, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8433, predictive_accuracy: 0.8419, prior_entropy: 0.9084, recall: 0.8419, relative_absolute_error: 0.3613, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8505, usercpu_time_millis: 11.957, usercpu_time_millis_testing: 1.555, usercpu_time_millis_training: 10.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8009, f_measure: 0.7976, kappa: 0.5248, kb_relative_information_score: 150.5488, mean_absolute_error: 0.2181, mean_prior_absolute_error: 0.4374, number_of_instances: 310, precision: 0.8025, predictive_accuracy: 0.8065, prior_entropy: 0.9084, recall: 0.8065, relative_absolute_error: 0.4985, root_mean_prior_squared_error: 0.4675, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.8388,

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