OpenML
Supervised Classification on musk

Supervised Classification on musk

Task 3950 Supervised Classification musk 66544 runs submitted
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  • mythbusting_1 study_1 study_15 study_20 under100k
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66544 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9867, kappa: 0.9483, kb_relative_information_score: 5776.1318, mean_absolute_error: 0.0331, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9868, predictive_accuracy: 0.9868, prior_entropy: 0.6204, recall: 0.9868, relative_absolute_error: 0.1271, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.2975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9825, kappa: 0.9325, kb_relative_information_score: 5731.0019, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9824, predictive_accuracy: 0.9826, prior_entropy: 0.6204, recall: 0.9826, relative_absolute_error: 0.1199, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1142, root_relative_squared_error: 0.3163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9962, kappa: 0.9854, kb_relative_information_score: 6121.6148, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 0.6204, recall: 0.9962, relative_absolute_error: 0.0862, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0699, root_relative_squared_error: 0.1935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9925, kappa: 0.9712, kb_relative_information_score: 5975.8143, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9926, predictive_accuracy: 0.9926, prior_entropy: 0.6204, recall: 0.9926, relative_absolute_error: 0.1052, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0852, root_relative_squared_error: 0.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9922, kappa: 0.97, kb_relative_information_score: 5963.3152, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9922, predictive_accuracy: 0.9923, prior_entropy: 0.6204, recall: 0.9923, relative_absolute_error: 0.1061, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0862, root_relative_squared_error: 0.2388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: -8115.6022, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.6204, recall: 0.9992, relative_absolute_error: 1.4339, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3744, root_relative_squared_error: 1.0369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9746, kappa: 0.9004, kb_relative_information_score: 4698.395, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.975, predictive_accuracy: 0.9751, prior_entropy: 0.6204, recall: 0.9751, relative_absolute_error: 0.3013, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.4433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9871, kappa: 0.9503, kb_relative_information_score: 5574.5033, mean_absolute_error: 0.0459, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9872, predictive_accuracy: 0.9873, prior_entropy: 0.6204, recall: 0.9873, relative_absolute_error: 0.1761, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.3056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 6291.6688, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.6204, recall: 0.9991, relative_absolute_error: 0.0697, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.036, root_relative_squared_error: 0.0997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9974, kappa: 0.9901, kb_relative_information_score: 6233.0954, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 0.6204, recall: 0.9974, relative_absolute_error: 0.0651, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0607, root_relative_squared_error: 0.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: -4824.8552, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.6204, recall: 0.9986, relative_absolute_error: 1.1537, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3033, root_relative_squared_error: 0.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9983, kappa: 0.9936, kb_relative_information_score: 6544.0571, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.6204, recall: 0.9983, relative_absolute_error: 0.0068, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.037, root_relative_squared_error: 0.1025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9873, kappa: 0.9509, kb_relative_information_score: 5552.3282, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9874, predictive_accuracy: 0.9874, prior_entropy: 0.6204, recall: 0.9874, relative_absolute_error: 0.1688, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1154, root_relative_squared_error: 0.3197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9781, kappa: 0.9147, kb_relative_information_score: 5317.4201, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9783, predictive_accuracy: 0.9785, prior_entropy: 0.6204, recall: 0.9785, relative_absolute_error: 0.2017, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1325, root_relative_squared_error: 0.3668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9905, kappa: 0.9635, kb_relative_information_score: 5807.1899, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9906, predictive_accuracy: 0.9906, prior_entropy: 0.6204, recall: 0.9906, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0961, root_relative_squared_error: 0.2661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9989, kappa: 0.9959, kb_relative_information_score: 6554.4087, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9989, predictive_accuracy: 0.9989, prior_entropy: 0.6204, recall: 0.9989, relative_absolute_error: 0.0056, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0296, root_relative_squared_error: 0.0819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9896, kappa: 0.9598, kb_relative_information_score: 5740.2888, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9897, predictive_accuracy: 0.9897, prior_entropy: 0.6204, recall: 0.9897, relative_absolute_error: 0.1403, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.103, root_relative_squared_error: 0.2854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9892, kappa: 0.9581, kb_relative_information_score: 5705.1696, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9892, predictive_accuracy: 0.9892, prior_entropy: 0.6204, recall: 0.9892, relative_absolute_error: 0.1479, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9977, kappa: 0.9913, kb_relative_information_score: 6435.0534, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9977, predictive_accuracy: 0.9977, prior_entropy: 0.6204, recall: 0.9977, relative_absolute_error: 0.0283, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0458, root_relative_squared_error: 0.1269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: -10045.96, mean_absolute_error: 0.4264, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.6204, recall: 0.9992, relative_absolute_error: 1.6347, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4268, root_relative_squared_error: 1.1819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9977, kappa: 0.9913, kb_relative_information_score: -4298.5318, mean_absolute_error: 0.2879, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9977, predictive_accuracy: 0.9977, prior_entropy: 0.6204, recall: 0.9977, relative_absolute_error: 1.1038, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.8018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9882, kappa: 0.9544, kb_relative_information_score: 5505.034, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 0.6204, recall: 0.9883, relative_absolute_error: 0.19, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1133, root_relative_squared_error: 0.3138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9766, kappa: 0.9083, kb_relative_information_score: 4977.8942, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9771, predictive_accuracy: 0.9771, prior_entropy: 0.6204, recall: 0.9771, relative_absolute_error: 0.2647, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1485, root_relative_squared_error: 0.4114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.991, kappa: 0.9653, kb_relative_information_score: 5799.7547, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.991, predictive_accuracy: 0.9911, prior_entropy: 0.6204, recall: 0.9911, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.2666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9983, kappa: 0.9936, kb_relative_information_score: 6537.2478, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.6204, recall: 0.9983, relative_absolute_error: 0.008, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0374, root_relative_squared_error: 0.1037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9979, kappa: 0.9918, kb_relative_information_score: 6187.4575, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.6204, recall: 0.9979, relative_absolute_error: 0.0755, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0627, root_relative_squared_error: 0.1737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9895, kappa: 0.9593, kb_relative_information_score: 5712.826, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9895, predictive_accuracy: 0.9895, prior_entropy: 0.6204, recall: 0.9895, relative_absolute_error: 0.1529, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1014, root_relative_squared_error: 0.2809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.998, kappa: 0.9924, kb_relative_information_score: 6224.2043, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.6204, recall: 0.998, relative_absolute_error: 0.0681, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0599, root_relative_squared_error: 0.1658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9963, kappa: 0.9859, kb_relative_information_score: -10098.9079, mean_absolute_error: 0.4284, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.6204, recall: 0.9964, relative_absolute_error: 1.6426, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4291, root_relative_squared_error: 1.1885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, kb_relative_information_score: -2712.756, mean_absolute_error: 0.2786, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, predictive_accuracy: 0.8459, prior_entropy: 0.6204, recall: 0.8459, relative_absolute_error: 1.068, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3567, root_relative_squared_error: 0.9879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.991, kappa: 0.9652, kb_relative_information_score: 5847.2373, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.991, predictive_accuracy: 0.9911, prior_entropy: 0.6204, recall: 0.9911, relative_absolute_error: 0.1225, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.2673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: -10385.1969, mean_absolute_error: 0.4356, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 1.6701, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4358, root_relative_squared_error: 1.2069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9879, kappa: 0.953, kb_relative_information_score: 5419.6851, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.988, predictive_accuracy: 0.988, prior_entropy: 0.6204, recall: 0.988, relative_absolute_error: 0.2068, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1184, root_relative_squared_error: 0.3279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9954, kappa: 0.9824, kb_relative_information_score: 6172.4552, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9954, predictive_accuracy: 0.9955, prior_entropy: 0.6204, recall: 0.9955, relative_absolute_error: 0.0707, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0718, root_relative_squared_error: 0.1987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9967, kappa: 0.9872, kb_relative_information_score: 6045.6247, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 0.6204, recall: 0.9967, relative_absolute_error: 0.1011, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0746, root_relative_squared_error: 0.2067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9873, kappa: 0.9509, kb_relative_information_score: 5333.2701, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9874, predictive_accuracy: 0.9874, prior_entropy: 0.6204, recall: 0.9874, relative_absolute_error: 0.2161, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.3467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9828, kappa: 0.9331, kb_relative_information_score: 5445.8583, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.983, predictive_accuracy: 0.983, prior_entropy: 0.6204, recall: 0.983, relative_absolute_error: 0.183, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.3415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.998, kappa: 0.9924, kb_relative_information_score: 6270.1532, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.6204, recall: 0.998, relative_absolute_error: 0.0604, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.1548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9979, kappa: 0.9918, kb_relative_information_score: 6449.0207, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.6204, recall: 0.9979, relative_absolute_error: 0.0243, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0453, root_relative_squared_error: 0.1254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: -10638.4286, mean_absolute_error: 0.4432, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.6204, recall: 0.9992, relative_absolute_error: 1.6992, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4434, root_relative_squared_error: 1.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9853, kappa: 0.9434, kb_relative_information_score: 5905.2844, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9853, predictive_accuracy: 0.9855, prior_entropy: 0.6204, recall: 0.9855, relative_absolute_error: 0.098, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.102, root_relative_squared_error: 0.2826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.993, kappa: 0.973, kb_relative_information_score: 6030.5545, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.993, predictive_accuracy: 0.993, prior_entropy: 0.6204, recall: 0.993, relative_absolute_error: 0.0969, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0802, root_relative_squared_error: 0.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, f_measure: 0.8806, kappa: 0.4864, kb_relative_information_score: 2398.7249, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9115, predictive_accuracy: 0.9012, prior_entropy: 0.6204, recall: 0.9012, relative_absolute_error: 0.6471, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.293, root_relative_squared_error: 0.8114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9992, kappa: 0.9971, kb_relative_information_score: -11190.1833, mean_absolute_error: 0.4595, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9992, predictive_accuracy: 0.9992, prior_entropy: 0.6204, recall: 0.9992, relative_absolute_error: 1.7617, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4596, root_relative_squared_error: 1.2729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9944, kappa: 0.9782, kb_relative_information_score: 5894.8324, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 0.6204, recall: 0.9944, relative_absolute_error: 0.1279, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0863, root_relative_squared_error: 0.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9854, kappa: 0.9434, kb_relative_information_score: 5493.4826, mean_absolute_error: 0.0463, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9856, predictive_accuracy: 0.9856, prior_entropy: 0.6204, recall: 0.9856, relative_absolute_error: 0.1774, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1216, root_relative_squared_error: 0.3368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9983, kappa: 0.9936, kb_relative_information_score: 6243.5568, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.6204, recall: 0.9983, relative_absolute_error: 0.0642, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0583, root_relative_squared_error: 0.1615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9747, kb_relative_information_score: 5895.3989, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 0.6204, recall: 0.9935, relative_absolute_error: 0.1256, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0872, root_relative_squared_error: 0.2414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9262, kappa: 0.6937, kb_relative_information_score: -8361.6175, mean_absolute_error: 0.386, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9372, predictive_accuracy: 0.9336, prior_entropy: 0.6204, recall: 0.9336, relative_absolute_error: 1.4799, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3905, root_relative_squared_error: 1.0814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9893, kappa: 0.9585, kb_relative_information_score: 5774.9347, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9894, predictive_accuracy: 0.9894, prior_entropy: 0.6204, recall: 0.9894, relative_absolute_error: 0.1283, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.2831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.8897, kappa: 0.5282, kb_relative_information_score: 2613.7399, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9164, predictive_accuracy: 0.9072, prior_entropy: 0.6204, recall: 0.9072, relative_absolute_error: 0.6108, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2859, root_relative_squared_error: 0.7919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9951, kappa: 0.9813, kb_relative_information_score: 6124.3441, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9951, predictive_accuracy: 0.9952, prior_entropy: 0.6204, recall: 0.9952, relative_absolute_error: 0.081, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0736, root_relative_squared_error: 0.2039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9964, kappa: 0.986, kb_relative_information_score: -4301.6962, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.6204, recall: 0.9964, relative_absolute_error: 1.1041, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.29, root_relative_squared_error: 0.8032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9967, kappa: 0.9871, kb_relative_information_score: 6249.43, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 0.6204, recall: 0.9967, relative_absolute_error: 0.0561, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0639, root_relative_squared_error: 0.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9979, kappa: 0.9918, kb_relative_information_score: -3995.6949, mean_absolute_error: 0.2803, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9979, predictive_accuracy: 0.9979, prior_entropy: 0.6204, recall: 0.9979, relative_absolute_error: 1.0748, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2815, root_relative_squared_error: 0.7797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9967, kappa: 0.9872, kb_relative_information_score: 6091.725, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 0.6204, recall: 0.9967, relative_absolute_error: 0.1096, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.061, root_relative_squared_error: 0.1689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: -9759.8485, mean_absolute_error: 0.418, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 1.6025, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4184, root_relative_squared_error: 1.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9908, kappa: 0.9646, kb_relative_information_score: 5713.6827, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9909, predictive_accuracy: 0.9909, prior_entropy: 0.6204, recall: 0.9909, relative_absolute_error: 0.1533, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.101, root_relative_squared_error: 0.2797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9989, kappa: 0.9959, kb_relative_information_score: -8664.5281, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9989, predictive_accuracy: 0.9989, prior_entropy: 0.6204, recall: 0.9989, relative_absolute_error: 1.4875, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3883, root_relative_squared_error: 1.0754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.985, kappa: 0.9416, kb_relative_information_score: 5629.1281, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9851, predictive_accuracy: 0.9851, prior_entropy: 0.6204, recall: 0.9851, relative_absolute_error: 0.151, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.3197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9851, kappa: 0.9423, kb_relative_information_score: 5346.6037, mean_absolute_error: 0.0537, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9852, predictive_accuracy: 0.9853, prior_entropy: 0.6204, recall: 0.9853, relative_absolute_error: 0.2059, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1244, root_relative_squared_error: 0.3445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9983, kappa: 0.9936, kb_relative_information_score: 6534.7566, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.6204, recall: 0.9983, relative_absolute_error: 0.0077, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0382, root_relative_squared_error: 0.1058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9989, kappa: 0.9959, kb_relative_information_score: -11821.5453, mean_absolute_error: 0.4789, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9989, predictive_accuracy: 0.9989, prior_entropy: 0.6204, recall: 0.9989, relative_absolute_error: 1.8359, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4789, root_relative_squared_error: 1.3263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9942, kappa: 0.9777, kb_relative_information_score: 6104.2508, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 0.6204, recall: 0.9942, relative_absolute_error: 0.0808, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0773, root_relative_squared_error: 0.2141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9942, kappa: 0.9777, kb_relative_information_score: 6200.3298, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 0.6204, recall: 0.9942, relative_absolute_error: 0.0612, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0713, root_relative_squared_error: 0.1975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9905, kappa: 0.9635, kb_relative_information_score: 5784.4316, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9906, predictive_accuracy: 0.9906, prior_entropy: 0.6204, recall: 0.9906, relative_absolute_error: 0.1413, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0969, root_relative_squared_error: 0.2684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9976, kappa: 0.9907, kb_relative_information_score: -4287.8102, mean_absolute_error: 0.287, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 0.6204, recall: 0.9976, relative_absolute_error: 1.1002, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.7987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: -7756.1549, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.6204, recall: 0.9991, relative_absolute_error: 1.3976, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3649, root_relative_squared_error: 1.0106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.9755, kappa: 0.9038, kb_relative_information_score: 4722.1778, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.976, predictive_accuracy: 0.9761, prior_entropy: 0.6204, recall: 0.9761, relative_absolute_error: 0.3039, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.159, root_relative_squared_error: 0.4402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9752, kappa: 0.9029, kb_relative_information_score: 4735.4603, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9756, predictive_accuracy: 0.9758, prior_entropy: 0.6204, recall: 0.9758, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.4406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.996, kappa: 0.9848, kb_relative_information_score: 6278.0467, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9961, predictive_accuracy: 0.9961, prior_entropy: 0.6204, recall: 0.9961, relative_absolute_error: 0.0525, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0621, root_relative_squared_error: 0.1718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9948, f_measure: 0.9716, kappa: 0.8884, kb_relative_information_score: 5120.8246, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9724, predictive_accuracy: 0.9724, prior_entropy: 0.6204, recall: 0.9724, relative_absolute_error: 0.2284, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.147, root_relative_squared_error: 0.4071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9954, kappa: 0.9824, kb_relative_information_score: 5916.6122, mean_absolute_error: 0.0322, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 0.6204, recall: 0.9955, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0846, root_relative_squared_error: 0.2342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9973, kappa: 0.9895, kb_relative_information_score: 6132.7801, mean_absolute_error: 0.0216, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.6204, recall: 0.9973, relative_absolute_error: 0.0828, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0685, root_relative_squared_error: 0.1897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9951, kappa: 0.9813, kb_relative_information_score: 6249.0589, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9951, predictive_accuracy: 0.9952, prior_entropy: 0.6204, recall: 0.9952, relative_absolute_error: 0.0532, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0685, root_relative_squared_error: 0.1896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9916, kappa: 0.9677, kb_relative_information_score: 5887.9879, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9916, predictive_accuracy: 0.9917, prior_entropy: 0.6204, recall: 0.9917, relative_absolute_error: 0.1237, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.843, kappa: 0.312, kb_relative_information_score: -10084.2465, mean_absolute_error: 0.4301, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.8937, predictive_accuracy: 0.8784, prior_entropy: 0.6204, recall: 0.8784, relative_absolute_error: 1.6488, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4331, root_relative_squared_error: 1.1994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9816, kappa: 0.9286, kb_relative_information_score: 5604.3845, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9817, predictive_accuracy: 0.9818, prior_entropy: 0.6204, recall: 0.9818, relative_absolute_error: 0.1433, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1214, root_relative_squared_error: 0.3363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9988, kappa: 0.9953, kb_relative_information_score: 6337.538, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.0497, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0478, root_relative_squared_error: 0.1324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: -11763.2833, mean_absolute_error: 0.4771, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.6204, recall: 0.9986, relative_absolute_error: 1.8291, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4771, root_relative_squared_error: 1.3214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9827, kappa: 0.9331, kb_relative_information_score: 5778.6844, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9827, predictive_accuracy: 0.9829, prior_entropy: 0.6204, recall: 0.9829, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1127, root_relative_squared_error: 0.3122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9875, kappa: 0.9516, kb_relative_information_score: 5338.3285, mean_absolute_error: 0.0553, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9875, predictive_accuracy: 0.9876, prior_entropy: 0.6204, recall: 0.9876, relative_absolute_error: 0.2122, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1239, root_relative_squared_error: 0.3431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.997, kappa: 0.9883, kb_relative_information_score: 6181.0135, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.997, predictive_accuracy: 0.997, prior_entropy: 0.6204, recall: 0.997, relative_absolute_error: 0.0918, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0552, root_relative_squared_error: 0.1528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.8899, kappa: 0.5292, kb_relative_information_score: 2644.5166, mean_absolute_error: 0.1576, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9165, predictive_accuracy: 0.9074, prior_entropy: 0.6204, recall: 0.9074, relative_absolute_error: 0.6043, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.7905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9936, kappa: 0.9753, kb_relative_information_score: 5963.2989, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9936, predictive_accuracy: 0.9936, prior_entropy: 0.6204, recall: 0.9936, relative_absolute_error: 0.1113, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.084, root_relative_squared_error: 0.2327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9861, kappa: 0.946, kb_relative_information_score: 5728.6164, mean_absolute_error: 0.0335, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9861, predictive_accuracy: 0.9862, prior_entropy: 0.6204, recall: 0.9862, relative_absolute_error: 0.1283, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.3085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9785, kappa: 0.9159, kb_relative_information_score: 5263.5035, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9789, predictive_accuracy: 0.9789, prior_entropy: 0.6204, recall: 0.9789, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.3723,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9989, kappa: 0.9959, kb_relative_information_score: 2423.9594, mean_absolute_error: 0.1722, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9989, predictive_accuracy: 0.9989, prior_entropy: 0.6204, recall: 0.9989, relative_absolute_error: 0.6602, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.4956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9491, kappa: 0.793, kb_relative_information_score: -9635.9511, mean_absolute_error: 0.4168, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9546, predictive_accuracy: 0.9526, prior_entropy: 0.6204, recall: 0.9526, relative_absolute_error: 1.5981, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.4186, root_relative_squared_error: 1.1594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9977, kb_relative_information_score: -5913.5306, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.6204, recall: 0.9994, relative_absolute_error: 1.2459, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.3279, root_relative_squared_error: 0.9082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9904, kappa: 0.963, kb_relative_information_score: 5772.7324, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9904, predictive_accuracy: 0.9905, prior_entropy: 0.6204, recall: 0.9905, relative_absolute_error: 0.1374, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0983, root_relative_squared_error: 0.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9967, kappa: 0.9872, kb_relative_information_score: 6231.917, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 0.6204, recall: 0.9967, relative_absolute_error: 0.0617, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.064, root_relative_squared_error: 0.1771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9965, kb_relative_information_score: 5599.5613, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 0.6204, recall: 0.9991, relative_absolute_error: 0.2316, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0715, root_relative_squared_error: 0.1981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9959, kappa: 0.9842, kb_relative_information_score: 4370.0428, mean_absolute_error: 0.1087, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9959, predictive_accuracy: 0.9959, prior_entropy: 0.6204, recall: 0.9959, relative_absolute_error: 0.4166, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.983, kappa: 0.9342, kb_relative_information_score: 5777.3909, mean_absolute_error: 0.0295, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.983, predictive_accuracy: 0.9832, prior_entropy: 0.6204, recall: 0.9832, relative_absolute_error: 0.1131, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.113, root_relative_squared_error: 0.3128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9988, kappa: 0.9953, kb_relative_information_score: 6486.8006, mean_absolute_error: 0.0056, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9988, predictive_accuracy: 0.9988, prior_entropy: 0.6204, recall: 0.9988, relative_absolute_error: 0.0215, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0312, root_relative_squared_error: 0.0864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9986, kappa: 0.9948, kb_relative_information_score: 6420.5146, mean_absolute_error: 0.0083, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9986, predictive_accuracy: 0.9986, prior_entropy: 0.6204, recall: 0.9986, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0406, root_relative_squared_error: 0.1125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9973, kappa: 0.9895, kb_relative_information_score: 6173.463, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 0.6204, recall: 0.9973, relative_absolute_error: 0.0758, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.0657, root_relative_squared_error: 0.1819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9792, kappa: 0.9192, kb_relative_information_score: 5094.504, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.2608, number_of_instances: 6598, precision: 0.9794, predictive_accuracy: 0.9795, prior_entropy: 0.6204, recall: 0.9795, relative_absolute_error: 0.238, root_mean_prior_squared_error: 0.3611, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.3885,

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

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From your own software

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

OpenML APIs