Task
Supervised Classification on glass

Supervised Classification on glass

Task 40 Supervised Classification glass 680 runs submitted
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  • basic study_1 study_107 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.4225, kappa: 0.2653, kb_relative_information_score: 26.8211, mean_absolute_error: 0.2149, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4679, predictive_accuracy: 0.4439, prior_entropy: 2.2315, recall: 0.4439, relative_absolute_error: 1.0158, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3424, root_relative_squared_error: 1.0553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.7043, kappa: 0.6194, kb_relative_information_score: 119.7068, mean_absolute_error: 0.1148, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6933, predictive_accuracy: 0.729, prior_entropy: 2.2315, recall: 0.729, relative_absolute_error: 0.5424, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2382, root_relative_squared_error: 0.734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7607, f_measure: 0.4573, kappa: 0.3065, kb_relative_information_score: 88.1555, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4897, predictive_accuracy: 0.486, prior_entropy: 2.2315, recall: 0.486, relative_absolute_error: 0.7453, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.9794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.819, f_measure: 0.6542, kappa: 0.547, kb_relative_information_score: 111.1283, mean_absolute_error: 0.1167, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6609, predictive_accuracy: 0.6682, prior_entropy: 2.2315, recall: 0.6682, relative_absolute_error: 0.5514, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2724, root_relative_squared_error: 0.8396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7607, f_measure: 0.4225, kappa: 0.2653, kb_relative_information_score: 79.6719, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4679, predictive_accuracy: 0.4439, prior_entropy: 2.2315, recall: 0.4439, relative_absolute_error: 0.7564, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3497, root_relative_squared_error: 1.0779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.6143, kappa: 0.4865, kb_relative_information_score: 80.3124, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.612, predictive_accuracy: 0.6262, prior_entropy: 2.2315, recall: 0.6262, relative_absolute_error: 0.7404, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2811, root_relative_squared_error: 0.8663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.7491, kappa: 0.6634, kb_relative_information_score: 143.4715, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7544, predictive_accuracy: 0.7523, prior_entropy: 2.2315, recall: 0.7523, relative_absolute_error: 0.3434, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.438, kappa: 0.3112, kb_relative_information_score: 33.1628, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4874, predictive_accuracy: 0.4766, prior_entropy: 2.2315, recall: 0.4766, relative_absolute_error: 0.9805, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3449, root_relative_squared_error: 1.0631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.7909, kappa: 0.7123, kb_relative_information_score: 150.423, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.8046, predictive_accuracy: 0.7897, prior_entropy: 2.2315, recall: 0.7897, relative_absolute_error: 0.3299, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.6807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.436, kappa: 0.2963, kb_relative_information_score: 83.9926, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4799, predictive_accuracy: 0.4673, prior_entropy: 2.2315, recall: 0.4673, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.34, root_relative_squared_error: 1.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7656, f_measure: 0.4501, kappa: 0.3293, kb_relative_information_score: 86.1308, mean_absolute_error: 0.1554, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4843, predictive_accuracy: 0.4953, prior_entropy: 2.2315, recall: 0.4953, relative_absolute_error: 0.7346, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.336, root_relative_squared_error: 1.0356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.7686, kappa: 0.6843, kb_relative_information_score: 146.8259, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7779, predictive_accuracy: 0.771, prior_entropy: 2.2315, recall: 0.771, relative_absolute_error: 0.3391, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2308, root_relative_squared_error: 0.7115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.6658, kappa: 0.5588, kb_relative_information_score: 119.0286, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6753, predictive_accuracy: 0.6822, prior_entropy: 2.2315, recall: 0.6822, relative_absolute_error: 0.5231, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.7723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.5428, kappa: 0.3893, kb_relative_information_score: 29.6784, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.5615, predictive_accuracy: 0.5794, prior_entropy: 2.2315, recall: 0.5794, relative_absolute_error: 1.0088, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3153, root_relative_squared_error: 0.9719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.7182, kappa: 0.6272, kb_relative_information_score: 128.9273, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7256, predictive_accuracy: 0.7243, prior_entropy: 2.2315, recall: 0.7243, relative_absolute_error: 0.4914, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2385, root_relative_squared_error: 0.7352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9035, f_measure: 0.6686, kappa: 0.5703, kb_relative_information_score: 107.4022, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6814, predictive_accuracy: 0.6916, prior_entropy: 2.2315, recall: 0.6916, relative_absolute_error: 0.6362, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2439, root_relative_squared_error: 0.7516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.473, f_measure: 0.1861, kb_relative_information_score: 0.1616, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.1261, predictive_accuracy: 0.3551, prior_entropy: 2.2315, recall: 0.3551, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3245, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8659, f_measure: 0.6136, kappa: 0.4964, kb_relative_information_score: 118.8854, mean_absolute_error: 0.1103, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.5986, predictive_accuracy: 0.6402, prior_entropy: 2.2315, recall: 0.6402, relative_absolute_error: 0.5214, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2562, root_relative_squared_error: 0.7896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8971, f_measure: 0.7079, kappa: 0.6076, kb_relative_information_score: 135.549, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7136, predictive_accuracy: 0.715, prior_entropy: 2.2315, recall: 0.715, relative_absolute_error: 0.446, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.7325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8671, f_measure: 0.6647, kappa: 0.5628, kb_relative_information_score: 121.4173, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6846, predictive_accuracy: 0.6869, prior_entropy: 2.2315, recall: 0.6869, relative_absolute_error: 0.5149, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2542, root_relative_squared_error: 0.7834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.811, f_measure: 0.6776, kappa: 0.562, kb_relative_information_score: 125.6365, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6795, predictive_accuracy: 0.6776, prior_entropy: 2.2315, recall: 0.6776, relative_absolute_error: 0.4764, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7618, f_measure: 0.4311, kappa: 0.3015, kb_relative_information_score: 83.3531, mean_absolute_error: 0.1556, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4791, predictive_accuracy: 0.4766, prior_entropy: 2.2315, recall: 0.4766, relative_absolute_error: 0.7355, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3423, root_relative_squared_error: 1.0549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, f_measure: 0.438, kappa: 0.3112, kb_relative_information_score: 82.3128, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4874, predictive_accuracy: 0.4766, prior_entropy: 2.2315, recall: 0.4766, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3435, root_relative_squared_error: 1.0586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.545, kappa: 0.401, kb_relative_information_score: 14.8521, mean_absolute_error: 0.2243, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.5342, predictive_accuracy: 0.5888, prior_entropy: 2.2315, recall: 0.5888, relative_absolute_error: 1.0599, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3249, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.5366, kappa: 0.3907, kb_relative_information_score: 27.4768, mean_absolute_error: 0.2132, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.5513, predictive_accuracy: 0.5841, prior_entropy: 2.2315, recall: 0.5841, relative_absolute_error: 1.0078, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3158, root_relative_squared_error: 0.9735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.7814, kappa: 0.7098, kb_relative_information_score: 136.2987, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7855, predictive_accuracy: 0.7897, prior_entropy: 2.2315, recall: 0.7897, relative_absolute_error: 0.4697, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.6492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7726, f_measure: 0.462, kappa: 0.3174, kb_relative_information_score: 93.7395, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4873, predictive_accuracy: 0.5, prior_entropy: 2.2315, recall: 0.5, relative_absolute_error: 0.7025, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.9538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7312, f_measure: 0.5026, kappa: 0.3364, kb_relative_information_score: 27.4419, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.5125, predictive_accuracy: 0.5467, prior_entropy: 2.2315, recall: 0.5467, relative_absolute_error: 1.0102, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.9762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7653, f_measure: 0.5387, kappa: 0.3986, kb_relative_information_score: 28.3834, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.5482, predictive_accuracy: 0.5888, prior_entropy: 2.2315, recall: 0.5888, relative_absolute_error: 1.0072, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3156, root_relative_squared_error: 0.9728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.6753, kappa: 0.5606, kb_relative_information_score: 124.9449, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6754, predictive_accuracy: 0.6776, prior_entropy: 2.2315, recall: 0.6776, relative_absolute_error: 0.4764, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8802, f_measure: 0.6837, kappa: 0.5755, kb_relative_information_score: 120.2443, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6852, predictive_accuracy: 0.6869, prior_entropy: 2.2315, recall: 0.6869, relative_absolute_error: 0.5166, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.7858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.7032, kappa: 0.5931, kb_relative_information_score: 120.4495, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7069, predictive_accuracy: 0.7056, prior_entropy: 2.2315, recall: 0.7056, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.7073,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.7581, kappa: 0.6734, kb_relative_information_score: 146.5647, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7644, predictive_accuracy: 0.7617, prior_entropy: 2.2315, recall: 0.7617, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.8043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.7582, kappa: 0.6734, kb_relative_information_score: 146.5647, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7675, predictive_accuracy: 0.7617, prior_entropy: 2.2315, recall: 0.7617, relative_absolute_error: 0.3218, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2609, root_relative_squared_error: 0.8043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.5259, kappa: 0.4287, kb_relative_information_score: 90.4207, mean_absolute_error: 0.1175, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.5171, predictive_accuracy: 0.5888, prior_entropy: 2.2315, recall: 0.5888, relative_absolute_error: 0.5553, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3428, root_relative_squared_error: 1.0565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1861, kb_relative_information_score: 29.7793, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.1261, predictive_accuracy: 0.3551, prior_entropy: 2.2315, recall: 0.3551, relative_absolute_error: 0.8708, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.4292, root_relative_squared_error: 1.323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.713, f_measure: 0.553, kappa: 0.4359, kb_relative_information_score: 94.0605, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.5294, predictive_accuracy: 0.6075, prior_entropy: 2.2315, recall: 0.6075, relative_absolute_error: 0.53, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3349, root_relative_squared_error: 1.0322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.726, f_measure: 0.5681, kappa: 0.4579, kb_relative_information_score: 96.6137, mean_absolute_error: 0.1081, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.5306, predictive_accuracy: 0.6215, prior_entropy: 2.2315, recall: 0.6215, relative_absolute_error: 0.5111, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3289, root_relative_squared_error: 1.0136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.7858, kappa: 0.7119, kb_relative_information_score: 152.1728, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7883, predictive_accuracy: 0.7897, prior_entropy: 2.2315, recall: 0.7897, relative_absolute_error: 0.2839, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.7555, usercpu_time_millis: 327.945, usercpu_time_millis_testing: 3.865, usercpu_time_millis_training: 324.08,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, f_measure: 0.645, kappa: 0.5201, kb_relative_information_score: 117.9821, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6489, predictive_accuracy: 0.6542, prior_entropy: 2.2315, recall: 0.6542, relative_absolute_error: 0.4669, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.9688, usercpu_time_millis: 70.17, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 69.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7204, f_measure: 0.5896, kappa: 0.4617, kb_relative_information_score: 105.8742, mean_absolute_error: 0.1095, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.5717, predictive_accuracy: 0.6168, prior_entropy: 2.2315, recall: 0.6168, relative_absolute_error: 0.5174, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3309, root_relative_squared_error: 1.0198, usercpu_time_millis: 21.465, usercpu_time_millis_testing: 0.114, usercpu_time_millis_training: 21.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0323, kb_relative_information_score: -2.8972, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.0184, predictive_accuracy: 0.1355, prior_entropy: 2.2315, recall: 0.1355, relative_absolute_error: 1.1673, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.497, root_relative_squared_error: 1.5318, usercpu_time_millis: 12.64, usercpu_time_millis_testing: 0.027, usercpu_time_millis_training: 12.613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.6721, kappa: 0.5518, kb_relative_information_score: 122.1238, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6798, predictive_accuracy: 0.6729, prior_entropy: 2.2315, recall: 0.6729, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.9422, usercpu_time_millis: 0.651, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7048, f_measure: 0.5707, kappa: 0.431, kb_relative_information_score: 100.977, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.5553, predictive_accuracy: 0.5935, prior_entropy: 2.2315, recall: 0.5935, relative_absolute_error: 0.549, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3408, root_relative_squared_error: 1.0504, usercpu_time_millis: 0.13, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.7672, kappa: 0.6884, kb_relative_information_score: 147.1637, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.776, predictive_accuracy: 0.7757, prior_entropy: 2.2315, recall: 0.7757, relative_absolute_error: 0.3029, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2532, root_relative_squared_error: 0.7803, usercpu_time_millis: 11.211, usercpu_time_millis_testing: 2.097, usercpu_time_millis_training: 9.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7815, f_measure: 0.6772, kappa: 0.5822, kb_relative_information_score: 125.099, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6609, predictive_accuracy: 0.7056, prior_entropy: 2.2315, recall: 0.7056, relative_absolute_error: 0.3975, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.29, root_relative_squared_error: 0.8939, usercpu_time_millis: 0.241, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.7669, kappa: 0.6888, kb_relative_information_score: 147.1637, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7749, predictive_accuracy: 0.7757, prior_entropy: 2.2315, recall: 0.7757, relative_absolute_error: 0.3029, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2532, root_relative_squared_error: 0.7803, usercpu_time_millis: 2.216, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 1.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.7017, kappa: 0.5937, kb_relative_information_score: 133.5753, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7049, predictive_accuracy: 0.7009, prior_entropy: 2.2315, recall: 0.7009, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.901, usercpu_time_millis: 1.784, usercpu_time_millis_testing: 0.696, usercpu_time_millis_training: 1.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5021, f_measure: 0.2325, kappa: 0.0042, kb_relative_information_score: 29.9617, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.236, predictive_accuracy: 0.3551, prior_entropy: 2.2315, recall: 0.3551, relative_absolute_error: 0.8708, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.4292, root_relative_squared_error: 1.323, usercpu_time_millis: 0.146, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7934, f_measure: 0.6858, kappa: 0.591, kb_relative_information_score: 127.6281, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6764, predictive_accuracy: 0.7009, prior_entropy: 2.2315, recall: 0.7009, relative_absolute_error: 0.4038, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2923, root_relative_squared_error: 0.901, usercpu_time_millis: 0.187, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8436, f_measure: 0.7757, kappa: 0.6974, kb_relative_information_score: 149.6097, mean_absolute_error: 0.0628, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7803, predictive_accuracy: 0.7804, prior_entropy: 2.2315, recall: 0.7804, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2505, root_relative_squared_error: 0.7721, usercpu_time_millis: 2.298, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 2.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6578, f_measure: 0.4843, kappa: 0.3254, kb_relative_information_score: 76.4981, mean_absolute_error: 0.1348, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4547, predictive_accuracy: 0.528, prior_entropy: 2.2315, recall: 0.528, relative_absolute_error: 0.6373, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3672, root_relative_squared_error: 1.1318, usercpu_time_millis: 1.198, usercpu_time_millis_testing: 0.437, usercpu_time_millis_training: 0.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, f_measure: 0.2299, kappa: -0.003, kb_relative_information_score: 29.0031, mean_absolute_error: 0.1856, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.2342, predictive_accuracy: 0.3505, prior_entropy: 2.2315, recall: 0.3505, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.4308, root_relative_squared_error: 1.3278, usercpu_time_millis: 0.102, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5035, f_measure: 0.2806, kappa: 0.0069, kb_relative_information_score: 28.7741, mean_absolute_error: 0.1869, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.2363, predictive_accuracy: 0.3458, prior_entropy: 2.2315, recall: 0.3458, relative_absolute_error: 0.8834, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.4323, root_relative_squared_error: 1.3325, usercpu_time_millis: 6.536, usercpu_time_millis_testing: 0.605, usercpu_time_millis_training: 5.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6146, f_measure: 0.3597, kappa: 0.2252, kb_relative_information_score: 56.5765, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4964, predictive_accuracy: 0.3879, prior_entropy: 2.2315, recall: 0.3879, relative_absolute_error: 0.8266, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.4182, root_relative_squared_error: 1.289, usercpu_time_millis: 0.286, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 0.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7594, f_measure: 0.6486, kappa: 0.5307, kb_relative_information_score: 116.5923, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6428, predictive_accuracy: 0.6636, prior_entropy: 2.2315, recall: 0.6636, relative_absolute_error: 0.4543, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.31, root_relative_squared_error: 0.9556, usercpu_time_millis: 0.816, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5369, f_measure: 0.3287, kappa: 0.0817, kb_relative_information_score: 40.5038, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.3548, predictive_accuracy: 0.3925, prior_entropy: 2.2315, recall: 0.3925, relative_absolute_error: 0.8203, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.4166, root_relative_squared_error: 1.2841, usercpu_time_millis: 0.278, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.6392, kappa: 0.5314, kb_relative_information_score: 120.361, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6179, predictive_accuracy: 0.6636, prior_entropy: 2.2315, recall: 0.6636, relative_absolute_error: 0.4543, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.31, root_relative_squared_error: 0.9556, usercpu_time_millis: 0.42, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6944, f_measure: 0.5518, kappa: 0.4078, kb_relative_information_score: 93.4966, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.5359, predictive_accuracy: 0.5841, prior_entropy: 2.2315, recall: 0.5841, relative_absolute_error: 0.5616, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3447, root_relative_squared_error: 1.0625, usercpu_time_millis: 0.06, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 0.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7628, f_measure: 0.6616, kappa: 0.5502, kb_relative_information_score: 119.7227, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6629, predictive_accuracy: 0.6869, prior_entropy: 2.2315, recall: 0.6869, relative_absolute_error: 0.4228, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.9218, usercpu_time_millis: 0.685, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 0.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.5698, kappa: 0.4324, kb_relative_information_score: 97.2788, mean_absolute_error: 0.1135, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.5542, predictive_accuracy: 0.6028, prior_entropy: 2.2315, recall: 0.6028, relative_absolute_error: 0.5363, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3369, root_relative_squared_error: 1.0383, usercpu_time_millis: 0.409, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.4,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.6316, kappa: 0.5145, kb_relative_information_score: 113.6959, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.615, predictive_accuracy: 0.6542, prior_entropy: 2.2315, recall: 0.6542, relative_absolute_error: 0.4669, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.9688, usercpu_time_millis: 0.131, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.6753, kappa: 0.5606, kb_relative_information_score: 125.6805, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6754, predictive_accuracy: 0.6776, prior_entropy: 2.2315, recall: 0.6776, relative_absolute_error: 0.4354, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3035, root_relative_squared_error: 0.9355, usercpu_time_millis: 2.297, usercpu_time_millis_testing: 0.9, usercpu_time_millis_training: 1.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.789, f_measure: 0.6994, kappa: 0.5921, kb_relative_information_score: 130.3201, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7036, predictive_accuracy: 0.7056, prior_entropy: 2.2315, recall: 0.7056, relative_absolute_error: 0.3975, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.29, root_relative_squared_error: 0.8939, usercpu_time_millis: 0.125, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 0.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, f_measure: 0.636, kappa: 0.5088, kb_relative_information_score: 116.2026, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6477, predictive_accuracy: 0.6449, prior_entropy: 2.2315, recall: 0.6449, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.9818, usercpu_time_millis: 2.058, usercpu_time_millis_testing: 0.675, usercpu_time_millis_training: 1.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7419, f_measure: 0.5946, kappa: 0.4933, kb_relative_information_score: 104.5098, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.5923, predictive_accuracy: 0.6449, prior_entropy: 2.2315, recall: 0.6449, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.9818, usercpu_time_millis: 18.016, usercpu_time_millis_testing: 0.948, usercpu_time_millis_training: 17.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7454, f_measure: 0.6279, kappa: 0.5112, kb_relative_information_score: 113.6959, mean_absolute_error: 0.0988, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6096, predictive_accuracy: 0.6542, prior_entropy: 2.2315, recall: 0.6542, relative_absolute_error: 0.4669, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.9688, usercpu_time_millis: 3.889, usercpu_time_millis_testing: 0.433, usercpu_time_millis_training: 3.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.722, f_measure: 0.5978, kappa: 0.4684, kb_relative_information_score: 106.7143, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.5956, predictive_accuracy: 0.6262, prior_entropy: 2.2315, recall: 0.6262, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3268, root_relative_squared_error: 1.0073, usercpu_time_millis: 0.805, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7859, f_measure: 0.6865, kappa: 0.5754, kb_relative_information_score: 127.7355, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6895, predictive_accuracy: 0.6869, prior_entropy: 2.2315, recall: 0.6869, relative_absolute_error: 0.4228, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.9218, usercpu_time_millis: 1.294, usercpu_time_millis_testing: 0.502, usercpu_time_millis_training: 0.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.852, f_measure: 0.7837, kappa: 0.711, kb_relative_information_score: 152.3226, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7894, predictive_accuracy: 0.7897, prior_entropy: 2.2315, recall: 0.7897, relative_absolute_error: 0.2839, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.7555, usercpu_time_millis: 1.102, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 0.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4986, f_measure: 0.23, kappa: -0.0028, kb_relative_information_score: 29.0031, mean_absolute_error: 0.1856, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.2299, predictive_accuracy: 0.3505, prior_entropy: 2.2315, recall: 0.3505, relative_absolute_error: 0.8771, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.4308, root_relative_squared_error: 1.3278, usercpu_time_millis: 0.15, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7287, f_measure: 0.5817, kappa: 0.4564, kb_relative_information_score: 99.3768, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.574, predictive_accuracy: 0.6075, prior_entropy: 2.2315, recall: 0.6075, relative_absolute_error: 0.53, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3349, root_relative_squared_error: 1.0322, usercpu_time_millis: 0.541, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 0.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7972, f_measure: 0.6939, kappa: 0.5988, kb_relative_information_score: 128.1965, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6838, predictive_accuracy: 0.7103, prior_entropy: 2.2315, recall: 0.7103, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2877, root_relative_squared_error: 0.8868, usercpu_time_millis: 0.729, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.585, f_measure: 0.3975, kappa: 0.1789, kb_relative_information_score: 54.2367, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4319, predictive_accuracy: 0.4579, prior_entropy: 2.2315, recall: 0.4579, relative_absolute_error: 0.732, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3935, root_relative_squared_error: 1.213, usercpu_time_millis: 1.026, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 0.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.645, kappa: 0.5322, kb_relative_information_score: 120.2561, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6404, predictive_accuracy: 0.6636, prior_entropy: 2.2315, recall: 0.6636, relative_absolute_error: 0.5237, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.7965, scimark_benchmark: 478.0591, usercpu_time_millis: 1360, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7897, f_measure: 0.6865, kappa: 0.5754, kb_relative_information_score: 125.0606, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6895, predictive_accuracy: 0.6869, prior_entropy: 2.2315, recall: 0.6869, relative_absolute_error: 0.4485, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.9064, scimark_benchmark: 473.1656, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8248, f_measure: 0.6426, kappa: 0.5233, kb_relative_information_score: 114.0374, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6341, predictive_accuracy: 0.6542, prior_entropy: 2.2315, recall: 0.6542, relative_absolute_error: 0.5601, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.8302, scimark_benchmark: 1254.1389, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.6753, kappa: 0.5606, kb_relative_information_score: 124.9449, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6754, predictive_accuracy: 0.6776, prior_entropy: 2.2315, recall: 0.6776, relative_absolute_error: 0.4764, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2849, root_relative_squared_error: 0.878, scimark_benchmark: 473.1656, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7607, f_measure: 0.4225, kappa: 0.2653, kb_relative_information_score: 79.6719, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4679, predictive_accuracy: 0.4439, prior_entropy: 2.2315, recall: 0.4439, relative_absolute_error: 0.7564, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3497, root_relative_squared_error: 1.0779, scimark_benchmark: 473.1656, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.2836, kappa: 0.2411, kb_relative_information_score: 59.2653, mean_absolute_error: 0.1826, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.2074, predictive_accuracy: 0.4486, prior_entropy: 2.2315, recall: 0.4486, relative_absolute_error: 0.8629, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3031, root_relative_squared_error: 0.9341, scimark_benchmark: 479.2609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, f_measure: 0.438, kappa: 0.3112, kb_relative_information_score: 82.3128, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4874, predictive_accuracy: 0.4766, prior_entropy: 2.2315, recall: 0.4766, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3435, root_relative_squared_error: 1.0586, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7495, f_measure: 0.4917, kappa: 0.3266, kb_relative_information_score: 66.0079, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4677, predictive_accuracy: 0.528, prior_entropy: 2.2315, recall: 0.528, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2915, root_relative_squared_error: 0.8984, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7647, f_measure: 0.438, kappa: 0.3112, kb_relative_information_score: 82.3128, mean_absolute_error: 0.1574, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.4874, predictive_accuracy: 0.4766, prior_entropy: 2.2315, recall: 0.4766, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3435, root_relative_squared_error: 1.0586, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8782, f_measure: 0.6851, kappa: 0.5875, kb_relative_information_score: 126.892, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6894, predictive_accuracy: 0.6963, prior_entropy: 2.2315, recall: 0.6963, relative_absolute_error: 0.49, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.7747, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.473, f_measure: 0.1861, kb_relative_information_score: 0.1616, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.1261, predictive_accuracy: 0.3551, prior_entropy: 2.2315, recall: 0.3551, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3245, root_relative_squared_error: 1.0003, scimark_benchmark: 1241.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.473, f_measure: 0.1861, kb_relative_information_score: 0.1616, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.1261, predictive_accuracy: 0.3551, prior_entropy: 2.2315, recall: 0.3551, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3245, root_relative_squared_error: 1.0003, scimark_benchmark: 1248.2165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4828, f_measure: 0.23, kappa: -0.0028, kb_relative_information_score: 4.9067, mean_absolute_error: 0.2092, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.2299, predictive_accuracy: 0.3505, prior_entropy: 2.2315, recall: 0.3505, relative_absolute_error: 0.9888, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3248, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7629, f_measure: 0.5817, kappa: 0.4564, kb_relative_information_score: 86.5951, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.574, predictive_accuracy: 0.6075, prior_entropy: 2.2315, recall: 0.6075, relative_absolute_error: 0.6858, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2859, root_relative_squared_error: 0.881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8223, f_measure: 0.715, kappa: 0.616, kb_relative_information_score: 124.8275, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7195, predictive_accuracy: 0.7196, prior_entropy: 2.2315, recall: 0.7196, relative_absolute_error: 0.4897, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2611, root_relative_squared_error: 0.8048, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.6666, kappa: 0.5496, kb_relative_information_score: 117.1593, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6719, predictive_accuracy: 0.6682, prior_entropy: 2.2315, recall: 0.6682, relative_absolute_error: 0.5408, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2621, root_relative_squared_error: 0.8079, scimark_benchmark: 851.2074, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.7217, kappa: 0.6291, kb_relative_information_score: 127.4541, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.727, predictive_accuracy: 0.729, prior_entropy: 2.2315, recall: 0.729, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.7627, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.7217, kappa: 0.6291, kb_relative_information_score: 127.4541, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.727, predictive_accuracy: 0.729, prior_entropy: 2.2315, recall: 0.729, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.7627, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.7217, kappa: 0.6291, kb_relative_information_score: 127.4541, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.727, predictive_accuracy: 0.729, prior_entropy: 2.2315, recall: 0.729, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.7627, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9041, f_measure: 0.7512, kappa: 0.678, kb_relative_information_score: 122.9408, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7706, predictive_accuracy: 0.7664, prior_entropy: 2.2315, recall: 0.7664, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.7188, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.7217, kappa: 0.6291, kb_relative_information_score: 127.4541, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.727, predictive_accuracy: 0.729, prior_entropy: 2.2315, recall: 0.729, relative_absolute_error: 0.481, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.7627, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.7335, kappa: 0.642, kb_relative_information_score: 121.8777, mean_absolute_error: 0.1088, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7402, predictive_accuracy: 0.743, prior_entropy: 2.2315, recall: 0.743, relative_absolute_error: 0.5144, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.7421, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.7814, kappa: 0.7098, kb_relative_information_score: 136.2987, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.7855, predictive_accuracy: 0.7897, prior_entropy: 2.2315, recall: 0.7897, relative_absolute_error: 0.4697, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.6492, scimark_benchmark: 931.771, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.6335, kappa: 0.5285, kb_relative_information_score: 113.7595, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6202, predictive_accuracy: 0.6682, prior_entropy: 2.2315, recall: 0.6682, relative_absolute_error: 0.448, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.9489, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7566, f_measure: 0.6335, kappa: 0.5285, kb_relative_information_score: 113.7595, mean_absolute_error: 0.0948, mean_prior_absolute_error: 0.2116, number_of_instances: 214, precision: 0.6202, predictive_accuracy: 0.6682, prior_entropy: 2.2315, recall: 0.6682, relative_absolute_error: 0.448, root_mean_prior_squared_error: 0.3244, root_mean_squared_error: 0.3079, root_relative_squared_error: 0.9489, scimark_benchmark: 941.3847, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,

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