OpenML
Supervised Classification on monks-problems-3

Supervised Classification on monks-problems-3

Task 3494 Supervised Classification monks-problems-3 73042 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_7 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, kb_relative_information_score: -0.4059, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 0.8376, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 253.3607, mean_absolute_error: 0.3065, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.6139, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3243, root_relative_squared_error: 0.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 329.2149, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.4808, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2626, root_relative_squared_error: 0.5256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: 0.1753, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 0.2966, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.4901, kappa: -0.0032, kb_relative_information_score: -1.3327, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.4991, predictive_accuracy: 0.4946, prior_entropy: 0.9989, recall: 0.4946, relative_absolute_error: 1.0016, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 0.7589, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, kb_relative_information_score: 6.2228, mean_absolute_error: 0.4953, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4957, root_relative_squared_error: 0.9922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7248, f_measure: 0.449, kappa: 0.0974, kb_relative_information_score: 52.309, mean_absolute_error: 0.4576, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.7632, predictive_accuracy: 0.565, prior_entropy: 0.9989, recall: 0.565, relative_absolute_error: 0.9167, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, kb_relative_information_score: 7.1305, mean_absolute_error: 0.4947, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9909, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, kb_relative_information_score: 7.479, mean_absolute_error: 0.4946, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9908, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4949, root_relative_squared_error: 0.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6483, kb_relative_information_score: 0.7152, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 1.5754, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4344, f_measure: 0.4068, kappa: -0.0661, kb_relative_information_score: -2.9697, mean_absolute_error: 0.5011, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.4383, predictive_accuracy: 0.4819, prior_entropy: 0.9989, recall: 0.4819, relative_absolute_error: 1.0037, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, kb_relative_information_score: 5.1061, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9933, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4965, root_relative_squared_error: 0.9938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6367, kb_relative_information_score: 0.4961, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 4.2564, mean_absolute_error: 0.4963, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9941, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5051, root_relative_squared_error: 1.0109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.7874, kappa: 0.577, kb_relative_information_score: 172.6764, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.8023, predictive_accuracy: 0.7906, prior_entropy: 0.9989, recall: 0.7906, relative_absolute_error: 0.7323, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9515, f_measure: 0.827, kappa: 0.6569, kb_relative_information_score: 289.8376, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.8489, predictive_accuracy: 0.8303, prior_entropy: 0.9989, recall: 0.8303, relative_absolute_error: 0.5184, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3303, root_relative_squared_error: 0.6611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, kb_relative_information_score: 3.3888, mean_absolute_error: 0.497, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 444.3321, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.2367, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.3805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 0.5975, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -0.9736, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1.0012, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -7.3906, mean_absolute_error: 0.5042, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.4801, prior_entropy: 0.9989, recall: 0.4801, relative_absolute_error: 1.01, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5152, root_relative_squared_error: 1.0311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7385, kb_relative_information_score: 3.6938, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -4.2757, mean_absolute_error: 0.502, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.4801, prior_entropy: 0.9989, recall: 0.4801, relative_absolute_error: 1.0055, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.0095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.3904, kappa: 0.0702, kb_relative_information_score: 38.3265, mean_absolute_error: 0.4731, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.7595, predictive_accuracy: 0.5181, prior_entropy: 0.9989, recall: 0.5181, relative_absolute_error: 0.9476, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4753, root_relative_squared_error: 0.9514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -2.6348, mean_absolute_error: 0.5009, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.4801, prior_entropy: 0.9989, recall: 0.4801, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -0.7418, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -0.4523, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 5.8844, mean_absolute_error: 0.495, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9916, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5106, root_relative_squared_error: 1.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 125.6155, mean_absolute_error: 0.4135, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.8283, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4152, root_relative_squared_error: 0.8311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 508.7327, mean_absolute_error: 0.0496, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0994, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1229, root_relative_squared_error: 0.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5846, kb_relative_information_score: -2.1387, mean_absolute_error: 0.5005, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.4801, prior_entropy: 0.9989, recall: 0.4801, relative_absolute_error: 1.0027, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -0.2775, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -1.8357, mean_absolute_error: 0.5003, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.4801, prior_entropy: 0.9989, recall: 0.4801, relative_absolute_error: 1.0023, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8838, kappa: 0.7675, kb_relative_information_score: 196.0819, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.8898, predictive_accuracy: 0.8845, prior_entropy: 0.9989, recall: 0.8845, relative_absolute_error: 0.7083, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.7396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 0.3576, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 0.0818, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 31.1912, mean_absolute_error: 0.4796, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.9608, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4797, root_relative_squared_error: 0.9602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5558, kb_relative_information_score: 1.7416, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: 0.6096, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 2.8077, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 127.1991, mean_absolute_error: 0.4111, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.8236, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -1.9565, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.4801, prior_entropy: 0.9989, recall: 0.4801, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -2.2379, mean_absolute_error: 0.5006, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.4801, prior_entropy: 0.9989, recall: 0.4801, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, kb_relative_information_score: -0.6008, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -0.5857, mean_absolute_error: 0.4996, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9404, kappa: 0.8806, kb_relative_information_score: 322.3109, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9405, predictive_accuracy: 0.9404, prior_entropy: 0.9989, recall: 0.9404, relative_absolute_error: 0.4808, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2808, root_relative_squared_error: 0.5621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, kb_relative_information_score: 15.5779, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4901, root_relative_squared_error: 0.9809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -0.5126, mean_absolute_error: 0.4995, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 1.2805, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 415.9375, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.2986, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.4051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4823, kb_relative_information_score: -3.3617, mean_absolute_error: 0.5013, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.4801, prior_entropy: 0.9989, recall: 0.4801, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5025, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 348.5181, mean_absolute_error: 0.2197, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.4401, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.5043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.794, kappa: 0.5939, kb_relative_information_score: 72.2481, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.8258, predictive_accuracy: 0.7996, prior_entropy: 0.9989, recall: 0.7996, relative_absolute_error: 0.9027, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, f_measure: 0.501, kappa: 0.0033, kb_relative_information_score: -0.8698, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.5025, predictive_accuracy: 0.5054, prior_entropy: 0.9989, recall: 0.5054, relative_absolute_error: 1.0011, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4404, kb_relative_information_score: -1.1576, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -6.284, mean_absolute_error: 0.5034, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.4801, prior_entropy: 0.9989, recall: 0.4801, relative_absolute_error: 1.0084, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5103, root_relative_squared_error: 1.0215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.794, kappa: 0.5939, kb_relative_information_score: 61.0263, mean_absolute_error: 0.4579, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.8258, predictive_accuracy: 0.7996, prior_entropy: 0.9989, recall: 0.7996, relative_absolute_error: 0.9173, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.8726, kappa: 0.7454, kb_relative_information_score: 233.368, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.881, predictive_accuracy: 0.8736, prior_entropy: 0.9989, recall: 0.8736, relative_absolute_error: 0.6373, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4985, kb_relative_information_score: -0.2188, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 1.1222, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, kb_relative_information_score: 0.6644, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -3.7005, mean_absolute_error: 0.5016, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.4801, prior_entropy: 0.9989, recall: 0.4801, relative_absolute_error: 1.0047, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5031, root_relative_squared_error: 1.0071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 119.3104, mean_absolute_error: 0.4171, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4205, root_relative_squared_error: 0.8418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 1.6622, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5004, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 353.0316, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.4333, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2411, root_relative_squared_error: 0.4825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.4901, kappa: -0.0032, kb_relative_information_score: -1.1503, mean_absolute_error: 0.4999, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.4991, predictive_accuracy: 0.4946, prior_entropy: 0.9989, recall: 0.4946, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, kb_relative_information_score: 1.0017, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4994, root_relative_squared_error: 0.9997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9657, kappa: 0.9314, kb_relative_information_score: 123.9065, mean_absolute_error: 0.414, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9662, predictive_accuracy: 0.9657, prior_entropy: 0.9989, recall: 0.9657, relative_absolute_error: 0.8294, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4168, root_relative_squared_error: 0.8343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.5525, kappa: 0.2211, kb_relative_information_score: 43.6926, mean_absolute_error: 0.4705, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.7734, predictive_accuracy: 0.6227, prior_entropy: 0.9989, recall: 0.6227, relative_absolute_error: 0.9425, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4717, root_relative_squared_error: 0.9441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, kb_relative_information_score: 0.0898, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8115, kb_relative_information_score: 8.7138, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.989, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4943, root_relative_squared_error: 0.9893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, kb_relative_information_score: 10.4913, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.986, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: 2.199, mean_absolute_error: 0.4977, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.997, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: -0.16, mean_absolute_error: 0.4993, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: 1.2663, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5003, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: 0.8023, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -0.2309, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7515, f_measure: 0.6558, kappa: 0.3377, kb_relative_information_score: 40.7018, mean_absolute_error: 0.4714, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.7102, predictive_accuracy: 0.6751, prior_entropy: 0.9989, recall: 0.6751, relative_absolute_error: 0.9442, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4765, root_relative_squared_error: 0.9537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 473.1126, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1751, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1544, root_relative_squared_error: 0.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6856, kb_relative_information_score: 4.8183, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9938, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4966, root_relative_squared_error: 0.9941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, kb_relative_information_score: 0.1144, mean_absolute_error: 0.4991, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, kb_relative_information_score: 0.2979, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, kb_relative_information_score: 0.444, mean_absolute_error: 0.4989, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6662, kb_relative_information_score: 1.5072, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8651, kappa: 0.7307, kb_relative_information_score: 64.2652, mean_absolute_error: 0.4566, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.8752, predictive_accuracy: 0.8664, prior_entropy: 0.9989, recall: 0.8664, relative_absolute_error: 0.9146, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: 1.5911, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5608, kb_relative_information_score: 0.2608, mean_absolute_error: 0.499, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5466, f_measure: 0.5131, kappa: 0.1135, kb_relative_information_score: 3.7355, mean_absolute_error: 0.4968, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.5987, predictive_accuracy: 0.5686, prior_entropy: 0.9989, recall: 0.5686, relative_absolute_error: 0.9951, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, kb_relative_information_score: -1.9142, mean_absolute_error: 0.5004, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.4801, prior_entropy: 0.9989, recall: 0.4801, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, kb_relative_information_score: 13.2415, mean_absolute_error: 0.4902, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9819, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4926, root_relative_squared_error: 0.9861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: -2.212, mean_absolute_error: 0.5006, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.4801, prior_entropy: 0.9989, recall: 0.4801, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.794, kappa: 0.5939, kb_relative_information_score: 35.2561, mean_absolute_error: 0.4766, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.8258, predictive_accuracy: 0.7996, prior_entropy: 0.9989, recall: 0.7996, relative_absolute_error: 0.9548, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4772, root_relative_squared_error: 0.9551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: -4.3987, mean_absolute_error: 0.5021, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.4801, prior_entropy: 0.9989, recall: 0.4801, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5062, root_relative_squared_error: 1.0131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 0.6131, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.4901, kappa: -0.0032, kb_relative_information_score: -1.7127, mean_absolute_error: 0.5002, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.4991, predictive_accuracy: 0.4946, prior_entropy: 0.9989, recall: 0.4946, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5087, root_relative_squared_error: 1.0182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, kb_relative_information_score: 4.6759, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4992, number_of_instances: 554, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.5085, root_relative_squared_error: 1.0177,

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