Task
Supervised Classification on meta

Supervised Classification on meta

Task 3623 Supervised Classification meta 472 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4753, f_measure: 0.8493, kb_relative_information_score: -6.6185, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.303, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.8834, kappa: 0.2681, kb_relative_information_score: 15.8195, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8845, predictive_accuracy: 0.9053, prior_entropy: 0.4808, recall: 0.9053, relative_absolute_error: 0.6914, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.9243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8092, f_measure: 0.8959, kappa: 0.3489, kb_relative_information_score: 119.0266, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9025, predictive_accuracy: 0.9148, prior_entropy: 0.4808, recall: 0.9148, relative_absolute_error: 0.6733, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2562, root_relative_squared_error: 0.8455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4769, f_measure: 0.8493, kb_relative_information_score: -35.1545, mean_absolute_error: 0.1872, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 1.0127, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3031, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6969, f_measure: 0.903, kappa: 0.4161, kb_relative_information_score: 114.9055, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9018, predictive_accuracy: 0.9148, prior_entropy: 0.4808, recall: 0.9148, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7607, f_measure: 0.853, kappa: 0.0431, kb_relative_information_score: -95.2821, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8373, predictive_accuracy: 0.892, prior_entropy: 0.4808, recall: 0.892, relative_absolute_error: 0.8675, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2874, root_relative_squared_error: 0.9485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7921, f_measure: 0.8985, kappa: 0.4218, kb_relative_information_score: 157.9056, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8951, predictive_accuracy: 0.9034, prior_entropy: 0.4808, recall: 0.9034, relative_absolute_error: 0.5232, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3054, root_relative_squared_error: 1.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.853, f_measure: 0.8921, kappa: 0.4028, kb_relative_information_score: -51.1647, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8905, predictive_accuracy: 0.8939, prior_entropy: 0.4808, recall: 0.8939, relative_absolute_error: 0.7477, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2884, root_relative_squared_error: 0.9517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7654, f_measure: 0.8493, kb_relative_information_score: -86.2334, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.8568, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.9449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7649, f_measure: 0.8493, kb_relative_information_score: -86.234, mean_absolute_error: 0.1583, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.8568, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.9449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7693, f_measure: 0.8201, kappa: 0.1815, kb_relative_information_score: -314.0946, mean_absolute_error: 0.2079, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8539, predictive_accuracy: 0.7955, prior_entropy: 0.4808, recall: 0.7955, relative_absolute_error: 1.1249, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3875, root_relative_squared_error: 1.2789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8799, kappa: 0.2252, kb_relative_information_score: 9.6048, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8998, predictive_accuracy: 0.9091, prior_entropy: 0.4808, recall: 0.9091, relative_absolute_error: 0.7835, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2574, root_relative_squared_error: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7673, f_measure: 0.8484, kappa: -0.0037, kb_relative_information_score: -96.0021, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8057, predictive_accuracy: 0.8958, prior_entropy: 0.4808, recall: 0.8958, relative_absolute_error: 0.8621, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.893, kappa: 0.3508, kb_relative_information_score: 113.2989, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8902, predictive_accuracy: 0.9072, prior_entropy: 0.4808, recall: 0.9072, relative_absolute_error: 0.5739, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2741, root_relative_squared_error: 0.9047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.8539, kappa: 0.0328, kb_relative_information_score: 4.6277, mean_absolute_error: 0.1631, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9097, predictive_accuracy: 0.8996, prior_entropy: 0.4808, recall: 0.8996, relative_absolute_error: 0.8827, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2805, root_relative_squared_error: 0.9257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, f_measure: 0.8493, kb_relative_information_score: 20.21, mean_absolute_error: 0.1685, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2813, root_relative_squared_error: 0.9284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4753, f_measure: 0.8493, kb_relative_information_score: -6.6185, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.303, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7727, f_measure: 0.8493, kb_relative_information_score: -86.4085, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.8571, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.9449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9097, f_measure: 0.8484, kappa: -0.0037, kb_relative_information_score: -41.7405, mean_absolute_error: 0.1558, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8057, predictive_accuracy: 0.8958, prior_entropy: 0.4808, recall: 0.8958, relative_absolute_error: 0.8429, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2674, root_relative_squared_error: 0.8824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7727, f_measure: 0.8493, kb_relative_information_score: -86.4085, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.8571, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.9449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8493, kb_relative_information_score: 138.0638, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.5534, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3198, root_relative_squared_error: 1.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4753, f_measure: 0.8493, kb_relative_information_score: 2.0798, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.303, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.7862, kappa: 0.2561, kb_relative_information_score: -488.7663, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8905, predictive_accuracy: 0.7367, prior_entropy: 0.4808, recall: 0.7367, relative_absolute_error: 1.3983, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.4804, root_relative_squared_error: 1.5853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.904, kappa: 0.4509, kb_relative_information_score: 97.0273, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9008, predictive_accuracy: 0.9091, prior_entropy: 0.4808, recall: 0.9091, relative_absolute_error: 0.5735, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.9311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, f_measure: 0.7902, kappa: 0.1974, kb_relative_information_score: -471.0969, mean_absolute_error: 0.2439, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8666, predictive_accuracy: 0.7462, prior_entropy: 0.4808, recall: 0.7462, relative_absolute_error: 1.3194, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.4282, root_relative_squared_error: 1.4133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8493, kb_relative_information_score: 138.0638, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.5534, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3198, root_relative_squared_error: 1.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7967, f_measure: 0.8149, kappa: 0.2864, kb_relative_information_score: -335.9031, mean_absolute_error: 0.2289, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8885, predictive_accuracy: 0.7765, prior_entropy: 0.4808, recall: 0.7765, relative_absolute_error: 1.2383, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.4699, root_relative_squared_error: 1.5507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4753, f_measure: 0.8493, kb_relative_information_score: 2.0798, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.303, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6561, f_measure: 0.9002, kappa: 0.3969, kb_relative_information_score: 195.0727, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8988, predictive_accuracy: 0.9129, prior_entropy: 0.4808, recall: 0.9129, relative_absolute_error: 0.4714, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.9741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8736, kappa: 0.1774, kb_relative_information_score: -4.9409, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9027, predictive_accuracy: 0.9072, prior_entropy: 0.4808, recall: 0.9072, relative_absolute_error: 0.7699, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.253, root_relative_squared_error: 0.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.786, kappa: 0.2497, kb_relative_information_score: -551.0644, mean_absolute_error: 0.2694, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8879, predictive_accuracy: 0.7367, prior_entropy: 0.4808, recall: 0.7367, relative_absolute_error: 1.4576, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.4771, root_relative_squared_error: 1.5745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.785, kappa: 0.2601, kb_relative_information_score: -514.8526, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8929, predictive_accuracy: 0.7348, prior_entropy: 0.4808, recall: 0.7348, relative_absolute_error: 1.4444, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.4918, root_relative_squared_error: 1.6229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5496, f_measure: 0.5486, kappa: 0.0324, kb_relative_information_score: -1522.3206, mean_absolute_error: 0.5436, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8373, predictive_accuracy: 0.4564, prior_entropy: 0.4808, recall: 0.4564, relative_absolute_error: 2.941, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.7373, root_relative_squared_error: 2.4331, scimark_benchmark: 1631.1992, usercpu_time_millis: 11906.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 11890.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8493, kb_relative_information_score: 138.0638, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.5534, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3198, root_relative_squared_error: 1.0554, scimark_benchmark: 1697.6783, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8493, kb_relative_information_score: 138.0638, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.5534, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3198, root_relative_squared_error: 1.0554, scimark_benchmark: 1862.8608, usercpu_time_millis: 109.375, usercpu_time_millis_testing: 46.875, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8493, kb_relative_information_score: 138.0638, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.5534, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3198, root_relative_squared_error: 1.0554, scimark_benchmark: 1377.2466, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8493, kb_relative_information_score: 138.0638, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.5534, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3198, root_relative_squared_error: 1.0554, scimark_benchmark: 1583.2582, usercpu_time_millis: 200, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5496, f_measure: 0.5486, kappa: 0.0324, kb_relative_information_score: -1522.3206, mean_absolute_error: 0.5436, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8373, predictive_accuracy: 0.4564, prior_entropy: 0.4808, recall: 0.4564, relative_absolute_error: 2.941, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.7373, root_relative_squared_error: 2.4331, scimark_benchmark: 1384.1338, usercpu_time_millis: 12410, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 12390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8004, f_measure: 0.8855, kappa: 0.4281, kb_relative_information_score: 52.3242, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8978, predictive_accuracy: 0.8769, prior_entropy: 0.4808, recall: 0.8769, relative_absolute_error: 0.6922, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3074, root_relative_squared_error: 1.0145, scimark_benchmark: 1908.2191, usercpu_time_millis: 5046.875, usercpu_time_millis_training: 5046.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8126, f_measure: 0.8849, kappa: 0.376, kb_relative_information_score: 78.6857, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8854, predictive_accuracy: 0.8845, prior_entropy: 0.4808, recall: 0.8845, relative_absolute_error: 0.6237, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3231, root_relative_squared_error: 1.0664, scimark_benchmark: 1908.2191, usercpu_time_millis: 6281.25, usercpu_time_millis_training: 6281.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.581, f_measure: 0.7031, kappa: 0.0745, kb_relative_information_score: -866.7182, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8417, predictive_accuracy: 0.6307, prior_entropy: 0.4808, recall: 0.6307, relative_absolute_error: 1.9983, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.6077, root_relative_squared_error: 2.0056, scimark_benchmark: 1827.4462, usercpu_time_millis: 14593.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 14578.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.9043, kappa: 0.4638, kb_relative_information_score: 138.6706, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.902, predictive_accuracy: 0.9072, prior_entropy: 0.4808, recall: 0.9072, relative_absolute_error: 0.5366, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2821, root_relative_squared_error: 0.9309, scimark_benchmark: 1413.6401, usercpu_time_millis: 12830, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 12820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.883, kappa: 0.355, kb_relative_information_score: 86.8135, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8816, predictive_accuracy: 0.8845, prior_entropy: 0.4808, recall: 0.8845, relative_absolute_error: 0.6067, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3123, root_relative_squared_error: 1.0308, scimark_benchmark: 1293.3306, usercpu_time_millis: 734.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 718.75,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.785, kappa: 0.2601, kb_relative_information_score: -514.8526, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8929, predictive_accuracy: 0.7348, prior_entropy: 0.4808, recall: 0.7348, relative_absolute_error: 1.4444, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.4918, root_relative_squared_error: 1.6229, scimark_benchmark: 1313.9417, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, f_measure: 0.8913, kappa: 0.4366, kb_relative_information_score: 76.8432, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8976, predictive_accuracy: 0.8864, prior_entropy: 0.4808, recall: 0.8864, relative_absolute_error: 0.6502, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2975, root_relative_squared_error: 0.9818, scimark_benchmark: 1229.7485, usercpu_time_millis: 670, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.9096, kappa: 0.4642, kb_relative_information_score: 216.451, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9079, predictive_accuracy: 0.9186, prior_entropy: 0.4808, recall: 0.9186, relative_absolute_error: 0.4406, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.9418, scimark_benchmark: 1618.1738, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7218, f_measure: 0.9089, kappa: 0.4831, kb_relative_information_score: 195.0727, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9062, predictive_accuracy: 0.9129, prior_entropy: 0.4808, recall: 0.9129, relative_absolute_error: 0.4714, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.9741, scimark_benchmark: 1618.1738, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.9089, kappa: 0.4831, kb_relative_information_score: 88.9793, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9062, predictive_accuracy: 0.9129, prior_entropy: 0.4808, recall: 0.9129, relative_absolute_error: 0.5937, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.9013, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7763, f_measure: 0.8493, kb_relative_information_score: -84.4276, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.8505, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2862, root_relative_squared_error: 0.9445, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8912, kappa: 0.32, kb_relative_information_score: 77.083, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8954, predictive_accuracy: 0.911, prior_entropy: 0.4808, recall: 0.911, relative_absolute_error: 0.6398, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.8561, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6446, f_measure: 0.8883, kappa: 0.307, kb_relative_information_score: 81.98, mean_absolute_error: 0.1482, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8884, predictive_accuracy: 0.9072, prior_entropy: 0.4808, recall: 0.9072, relative_absolute_error: 0.8016, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2879, root_relative_squared_error: 0.95, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6811, f_measure: 0.8852, kappa: 0.2848, kb_relative_information_score: 15.3715, mean_absolute_error: 0.1567, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8849, predictive_accuracy: 0.9053, prior_entropy: 0.4808, recall: 0.9053, relative_absolute_error: 0.8476, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2842, root_relative_squared_error: 0.9378, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.8645, kappa: 0.1152, kb_relative_information_score: -8.4783, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8799, predictive_accuracy: 0.9015, prior_entropy: 0.4808, recall: 0.9015, relative_absolute_error: 0.7693, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2545, root_relative_squared_error: 0.8398, scimark_benchmark: 1744.8652, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4753, f_measure: 0.8493, kb_relative_information_score: -6.6185, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.303, root_relative_squared_error: 1.0001, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4753, f_measure: 0.8493, kb_relative_information_score: 2.0798, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.303, root_relative_squared_error: 1.0001, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.785, kappa: 0.2601, kb_relative_information_score: -514.8526, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8929, predictive_accuracy: 0.7348, prior_entropy: 0.4808, recall: 0.7348, relative_absolute_error: 1.4444, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.4918, root_relative_squared_error: 1.6229, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.9096, kappa: 0.4642, kb_relative_information_score: 216.451, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9079, predictive_accuracy: 0.9186, prior_entropy: 0.4808, recall: 0.9186, relative_absolute_error: 0.4406, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.9418, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7218, f_measure: 0.9089, kappa: 0.4831, kb_relative_information_score: 195.0727, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9062, predictive_accuracy: 0.9129, prior_entropy: 0.4808, recall: 0.9129, relative_absolute_error: 0.4714, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.9741, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8114, f_measure: 0.8942, kappa: 0.4471, kb_relative_information_score: 85.1114, mean_absolute_error: 0.1208, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8992, predictive_accuracy: 0.8902, prior_entropy: 0.4808, recall: 0.8902, relative_absolute_error: 0.6535, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.9774, scimark_benchmark: 1744.8652, usercpu_time_millis: 453.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 437.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.9089, kappa: 0.4831, kb_relative_information_score: 88.9793, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9062, predictive_accuracy: 0.9129, prior_entropy: 0.4808, recall: 0.9129, relative_absolute_error: 0.5937, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.9013, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7763, f_measure: 0.8493, kb_relative_information_score: -84.4276, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.8505, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2862, root_relative_squared_error: 0.9445, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8912, kappa: 0.32, kb_relative_information_score: 77.083, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8954, predictive_accuracy: 0.911, prior_entropy: 0.4808, recall: 0.911, relative_absolute_error: 0.6398, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.8561, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.641, f_measure: 0.8959, kappa: 0.3489, kb_relative_information_score: 107.3358, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9025, predictive_accuracy: 0.9148, prior_entropy: 0.4808, recall: 0.9148, relative_absolute_error: 0.7703, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.9268, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5252, f_measure: 0.8519, kappa: 0.0246, kb_relative_information_score: 0.6021, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8412, predictive_accuracy: 0.8958, prior_entropy: 0.4808, recall: 0.8958, relative_absolute_error: 0.9765, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3018, root_relative_squared_error: 0.996, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8724, kappa: 0.1717, kb_relative_information_score: 2.5667, mean_absolute_error: 0.1416, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8916, predictive_accuracy: 0.9053, prior_entropy: 0.4808, recall: 0.9053, relative_absolute_error: 0.766, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.8345, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4753, f_measure: 0.8493, kb_relative_information_score: -6.6185, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.303, root_relative_squared_error: 1.0001, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4753, f_measure: 0.8493, kb_relative_information_score: 2.0798, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.303, root_relative_squared_error: 1.0001, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.9089, kappa: 0.4831, kb_relative_information_score: 88.9793, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9062, predictive_accuracy: 0.9129, prior_entropy: 0.4808, recall: 0.9129, relative_absolute_error: 0.5937, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.9013, scimark_benchmark: 1327.5254, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8924, f_measure: 0.8912, kappa: 0.32, kb_relative_information_score: 77.083, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8954, predictive_accuracy: 0.911, prior_entropy: 0.4808, recall: 0.911, relative_absolute_error: 0.6398, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.8561, scimark_benchmark: 1788.6668, usercpu_time_millis: 62.5, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.8906, kappa: 0.4281, kb_relative_information_score: 70.4945, mean_absolute_error: 0.1221, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8957, predictive_accuracy: 0.8864, prior_entropy: 0.4808, recall: 0.8864, relative_absolute_error: 0.6609, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.9878, scimark_benchmark: 1788.6668, usercpu_time_millis: 437.5, usercpu_time_millis_training: 437.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8865, f_measure: 0.8975, kappa: 0.3635, kb_relative_information_score: 63.8408, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9017, predictive_accuracy: 0.9148, prior_entropy: 0.4808, recall: 0.9148, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2578, root_relative_squared_error: 0.8509, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6629, f_measure: 0.8987, kappa: 0.3902, kb_relative_information_score: 103.8409, mean_absolute_error: 0.1398, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8964, predictive_accuracy: 0.911, prior_entropy: 0.4808, recall: 0.911, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2806, root_relative_squared_error: 0.9262, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7876, f_measure: 0.8957, kappa: 0.4525, kb_relative_information_score: 48.4939, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9001, predictive_accuracy: 0.892, prior_entropy: 0.4808, recall: 0.892, relative_absolute_error: 0.6899, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2871, root_relative_squared_error: 0.9475, scimark_benchmark: 1788.6668, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7659, f_measure: 0.9043, kappa: 0.4279, kb_relative_information_score: 63.2901, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9023, predictive_accuracy: 0.9148, prior_entropy: 0.4808, recall: 0.9148, relative_absolute_error: 0.6368, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.262, root_relative_squared_error: 0.8647, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6222, f_measure: 0.8929, kappa: 0.3353, kb_relative_information_score: 187.9466, mean_absolute_error: 0.089, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8951, predictive_accuracy: 0.911, prior_entropy: 0.4808, recall: 0.911, relative_absolute_error: 0.4816, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.9846, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6921, f_measure: 0.9096, kappa: 0.4642, kb_relative_information_score: 216.451, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9079, predictive_accuracy: 0.9186, prior_entropy: 0.4808, recall: 0.9186, relative_absolute_error: 0.4406, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2854, root_relative_squared_error: 0.9418, scimark_benchmark: 1352.843, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7671, f_measure: 0.9089, kappa: 0.4831, kb_relative_information_score: 88.9793, mean_absolute_error: 0.1097, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9062, predictive_accuracy: 0.9129, prior_entropy: 0.4808, recall: 0.9129, relative_absolute_error: 0.5937, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2731, root_relative_squared_error: 0.9013, scimark_benchmark: 1572.3866, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6969, f_measure: 0.903, kappa: 0.4161, kb_relative_information_score: 114.9055, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9018, predictive_accuracy: 0.9148, prior_entropy: 0.4808, recall: 0.9148, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2742, root_relative_squared_error: 0.905, scimark_benchmark: 1102.5575, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8239, f_measure: 0.8539, kappa: 0.0328, kb_relative_information_score: 18.2898, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9097, predictive_accuracy: 0.8996, prior_entropy: 0.4808, recall: 0.8996, relative_absolute_error: 0.7196, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2734, root_relative_squared_error: 0.9022, scimark_benchmark: 1860.4354, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7259, f_measure: 0.871, kappa: 0.1763, kb_relative_information_score: -38.9612, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8709, predictive_accuracy: 0.8996, prior_entropy: 0.4808, recall: 0.8996, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3067, root_relative_squared_error: 1.0121, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.8493, kb_relative_information_score: -86.3089, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.8568, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.9449, scimark_benchmark: 1840.6094, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.8493, kb_relative_information_score: -86.3089, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.8568, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.9449, scimark_benchmark: 1873.1108, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7912, f_measure: 0.8828, kappa: 0.2568, kb_relative_information_score: -3.5324, mean_absolute_error: 0.1241, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8889, predictive_accuracy: 0.9072, prior_entropy: 0.4808, recall: 0.9072, relative_absolute_error: 0.6712, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2728, root_relative_squared_error: 0.9004, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.8493, kb_relative_information_score: -86.3089, mean_absolute_error: 0.1584, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.8568, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2863, root_relative_squared_error: 0.9449, scimark_benchmark: 1873.1108, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6746, f_measure: 0.9058, kappa: 0.4349, kb_relative_information_score: 209.3249, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9046, predictive_accuracy: 0.9167, prior_entropy: 0.4808, recall: 0.9167, relative_absolute_error: 0.4509, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.9527, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7218, f_measure: 0.9089, kappa: 0.4831, kb_relative_information_score: 195.0727, mean_absolute_error: 0.0871, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9062, predictive_accuracy: 0.9129, prior_entropy: 0.4808, recall: 0.9129, relative_absolute_error: 0.4714, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.9741, scimark_benchmark: 1779.392, usercpu_time_millis: 46.8003, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6981, f_measure: 0.8827, kappa: 0.2827, kb_relative_information_score: 11.0895, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8777, predictive_accuracy: 0.8996, prior_entropy: 0.4808, recall: 0.8996, relative_absolute_error: 0.7827, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2889, root_relative_squared_error: 0.9534, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5252, f_measure: 0.8519, kappa: 0.0246, kb_relative_information_score: 0.6021, mean_absolute_error: 0.1805, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8412, predictive_accuracy: 0.8958, prior_entropy: 0.4808, recall: 0.8958, relative_absolute_error: 0.9765, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3018, root_relative_squared_error: 0.996, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4753, f_measure: 0.8493, kb_relative_information_score: -6.6185, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.303, root_relative_squared_error: 1.0001, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4753, f_measure: 0.8493, kb_relative_information_score: -6.6185, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.303, root_relative_squared_error: 1.0001, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4753, f_measure: 0.8493, kb_relative_information_score: 2.0798, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.303, root_relative_squared_error: 1.0001, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4753, f_measure: 0.8493, kb_relative_information_score: 2.0798, mean_absolute_error: 0.1836, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.9936, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.303, root_relative_squared_error: 1.0001, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.9058, kappa: 0.4349, kb_relative_information_score: 32.6166, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9046, predictive_accuracy: 0.9167, prior_entropy: 0.4808, recall: 0.9167, relative_absolute_error: 0.6668, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2576, root_relative_squared_error: 0.85, scimark_benchmark: 1838.8826, usercpu_time_millis: 46.8003, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.8736, kappa: 0.1774, kb_relative_information_score: -4.9409, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.9027, predictive_accuracy: 0.9072, prior_entropy: 0.4808, recall: 0.9072, relative_absolute_error: 0.7699, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.253, root_relative_squared_error: 0.835, scimark_benchmark: 1838.8826, usercpu_time_millis: 46.8003, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, f_measure: 0.8587, kappa: 0.1951, kb_relative_information_score: -26.8303, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8528, predictive_accuracy: 0.8655, prior_entropy: 0.4808, recall: 0.8655, relative_absolute_error: 0.7726, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3604, root_relative_squared_error: 1.1893, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7763, f_measure: 0.8493, kb_relative_information_score: -84.4276, mean_absolute_error: 0.1572, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 0.8505, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.2862, root_relative_squared_error: 0.9445, scimark_benchmark: 1838.8826, usercpu_time_millis: 46.8003, usercpu_time_millis_testing: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, f_measure: 0.8515, kappa: 0.2939, kb_relative_information_score: -255.1002, mean_absolute_error: 0.1926, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8745, predictive_accuracy: 0.8352, prior_entropy: 0.4808, recall: 0.8352, relative_absolute_error: 1.0421, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.3601, root_relative_squared_error: 1.1883, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7882, f_measure: 0.785, kappa: 0.2601, kb_relative_information_score: -514.8526, mean_absolute_error: 0.267, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8929, predictive_accuracy: 0.7348, prior_entropy: 0.4808, recall: 0.7348, relative_absolute_error: 1.4444, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.4918, root_relative_squared_error: 1.6229, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4753, f_measure: 0.8493, kb_relative_information_score: -6.6185, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.1848, number_of_instances: 528, precision: 0.8059, predictive_accuracy: 0.8977, prior_entropy: 0.4808, recall: 0.8977, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.303, root_mean_squared_error: 0.303, root_relative_squared_error: 1.0001, scimark_benchmark: 1838.8826,

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