Task
Supervised Classification on wisconsin

Supervised Classification on wisconsin

Task 3619 Supervised Classification wisconsin 564 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5865, f_measure: 0.5863, kappa: 0.1832, kb_relative_information_score: 20.0151, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5977, predictive_accuracy: 0.5876, prior_entropy: 0.9963, recall: 0.5876, relative_absolute_error: 0.9041, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5486, root_relative_squared_error: 1.1002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5339, f_measure: 0.5315, kappa: 0.0632, kb_relative_information_score: 4.5662, mean_absolute_error: 0.4873, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5343, predictive_accuracy: 0.5309, prior_entropy: 0.9963, recall: 0.5309, relative_absolute_error: 0.9797, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5078, root_relative_squared_error: 1.0183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6249, f_measure: 0.5359, kappa: 0.0927, kb_relative_information_score: 6.334, mean_absolute_error: 0.485, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5584, predictive_accuracy: 0.5619, prior_entropy: 0.9963, recall: 0.5619, relative_absolute_error: 0.9749, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5721, f_measure: 0.5753, kappa: 0.1451, kb_relative_information_score: 28.7715, mean_absolute_error: 0.4227, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5753, predictive_accuracy: 0.5773, prior_entropy: 0.9963, recall: 0.5773, relative_absolute_error: 0.8497, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6501, root_relative_squared_error: 1.3037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4828, f_measure: 0.4939, kappa: -0.0186, kb_relative_information_score: -1.378, mean_absolute_error: 0.502, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4933, predictive_accuracy: 0.4948, prior_entropy: 0.9963, recall: 0.4948, relative_absolute_error: 1.0092, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6552, root_relative_squared_error: 1.3139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5821, f_measure: 0.6132, kappa: 0.2222, kb_relative_information_score: 15.9826, mean_absolute_error: 0.4636, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.6131, predictive_accuracy: 0.6134, prior_entropy: 0.9963, recall: 0.6134, relative_absolute_error: 0.932, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, f_measure: 0.5387, kappa: 0.0714, kb_relative_information_score: 7.7904, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5384, predictive_accuracy: 0.5412, prior_entropy: 0.9963, recall: 0.5412, relative_absolute_error: 0.9648, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5202, root_relative_squared_error: 1.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5958, f_measure: 0.6139, kappa: 0.2257, kb_relative_information_score: 26.2069, mean_absolute_error: 0.4337, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.6151, predictive_accuracy: 0.6134, prior_entropy: 0.9963, recall: 0.6134, relative_absolute_error: 0.8719, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5694, root_relative_squared_error: 1.1417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5279, f_measure: 0.5723, kappa: 0.1405, kb_relative_information_score: 7.3006, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5725, predictive_accuracy: 0.5722, prior_entropy: 0.9963, recall: 0.5722, relative_absolute_error: 0.9704, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5108, root_relative_squared_error: 1.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.613, f_measure: 0.6087, kappa: 0.2182, kb_relative_information_score: 32.7177, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.6123, predictive_accuracy: 0.6082, prior_entropy: 0.9963, recall: 0.6082, relative_absolute_error: 0.8361, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.587, root_relative_squared_error: 1.1771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5078, f_measure: 0.5624, kappa: 0.1237, kb_relative_information_score: 7.9054, mean_absolute_error: 0.4811, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5645, predictive_accuracy: 0.5619, prior_entropy: 0.9963, recall: 0.5619, relative_absolute_error: 0.9672, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5263, root_relative_squared_error: 1.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5792, f_measure: 0.577, kappa: 0.1489, kb_relative_information_score: 18.9704, mean_absolute_error: 0.4519, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5767, predictive_accuracy: 0.5773, prior_entropy: 0.9963, recall: 0.5773, relative_absolute_error: 0.9086, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.56, root_relative_squared_error: 1.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.589, f_measure: 0.5567, kappa: 0.1088, kb_relative_information_score: 16.2942, mean_absolute_error: 0.4568, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5567, predictive_accuracy: 0.5567, prior_entropy: 0.9963, recall: 0.5567, relative_absolute_error: 0.9183, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.536, root_relative_squared_error: 1.0748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4858, f_measure: 0.466, kappa: -0.0715, kb_relative_information_score: 0.1697, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4657, predictive_accuracy: 0.4742, prior_entropy: 0.9963, recall: 0.4742, relative_absolute_error: 0.999, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5717, f_measure: 0.5411, kappa: 0.0879, kb_relative_information_score: 15.2745, mean_absolute_error: 0.4579, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5474, predictive_accuracy: 0.5412, prior_entropy: 0.9963, recall: 0.5412, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6185, root_relative_squared_error: 1.2401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4629, f_measure: 0.4351, kappa: -0.093, kb_relative_information_score: -4.4817, mean_absolute_error: 0.5076, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4431, predictive_accuracy: 0.4742, prior_entropy: 0.9963, recall: 0.4742, relative_absolute_error: 1.0204, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.0321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4885, f_measure: 0.3742, kb_relative_information_score: -0.0241, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.2874, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5577, f_measure: 0.5212, kappa: 0.0412, kb_relative_information_score: 9.0491, mean_absolute_error: 0.4746, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5232, predictive_accuracy: 0.5206, prior_entropy: 0.9963, recall: 0.5206, relative_absolute_error: 0.9541, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5256, root_relative_squared_error: 1.0539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6624, f_measure: 0.6021, kappa: 0.199, kb_relative_information_score: 41.3874, mean_absolute_error: 0.3918, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.6019, predictive_accuracy: 0.6031, prior_entropy: 0.9963, recall: 0.6031, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5455, root_relative_squared_error: 1.0938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5852, f_measure: 0.5577, kappa: 0.1105, kb_relative_information_score: 13.9357, mean_absolute_error: 0.465, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5586, predictive_accuracy: 0.5619, prior_entropy: 0.9963, recall: 0.5619, relative_absolute_error: 0.9348, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5139, root_relative_squared_error: 1.0306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.581, f_measure: 0.5681, kappa: 0.136, kb_relative_information_score: 7.5851, mean_absolute_error: 0.4815, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5741, predictive_accuracy: 0.5773, prior_entropy: 0.9963, recall: 0.5773, relative_absolute_error: 0.968, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.4953, root_relative_squared_error: 0.9932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4885, f_measure: 0.3742, kb_relative_information_score: -0.0241, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.2874, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4885, f_measure: 0.3742, kb_relative_information_score: -0.0077, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.2874, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6373, f_measure: 0.577, kappa: 0.1489, kb_relative_information_score: 24.9494, mean_absolute_error: 0.4373, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5767, predictive_accuracy: 0.5773, prior_entropy: 0.9963, recall: 0.5773, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5151, root_relative_squared_error: 1.0329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4603, f_measure: 0.4376, kappa: -0.114, kb_relative_information_score: 1.6821, mean_absolute_error: 0.4925, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.439, predictive_accuracy: 0.4588, prior_entropy: 0.9963, recall: 0.4588, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.569, f_measure: 0.5779, kappa: 0.154, kb_relative_information_score: 17.3828, mean_absolute_error: 0.4552, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5795, predictive_accuracy: 0.5773, prior_entropy: 0.9963, recall: 0.5773, relative_absolute_error: 0.9151, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5594, root_relative_squared_error: 1.1218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6009, f_measure: 0.6087, kappa: 0.2182, kb_relative_information_score: 29.3467, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.6123, predictive_accuracy: 0.6082, prior_entropy: 0.9963, recall: 0.6082, relative_absolute_error: 0.8533, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5954, root_relative_squared_error: 1.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6171, f_measure: 0.6009, kappa: 0.1966, kb_relative_information_score: 20.7576, mean_absolute_error: 0.4509, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.6013, predictive_accuracy: 0.6031, prior_entropy: 0.9963, recall: 0.6031, relative_absolute_error: 0.9064, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6517, f_measure: 0.638, kappa: 0.2853, kb_relative_information_score: 37.5118, mean_absolute_error: 0.4073, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.6507, predictive_accuracy: 0.6392, prior_entropy: 0.9963, recall: 0.6392, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5244, root_relative_squared_error: 1.0516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6191, f_measure: 0.6222, kappa: 0.2395, kb_relative_information_score: 46.9047, mean_absolute_error: 0.3763, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.6224, predictive_accuracy: 0.6237, prior_entropy: 0.9963, recall: 0.6237, relative_absolute_error: 0.7565, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6134, root_relative_squared_error: 1.2301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5979, f_measure: 0.5917, kappa: 0.1782, kb_relative_information_score: 12.922, mean_absolute_error: 0.4695, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5915, predictive_accuracy: 0.5928, prior_entropy: 0.9963, recall: 0.5928, relative_absolute_error: 0.9438, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3742, kb_relative_information_score: 12.6531, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.2874, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6811, root_relative_squared_error: 1.3658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, f_measure: 0.5406, kappa: 0.0756, kb_relative_information_score: 16.8089, mean_absolute_error: 0.4523, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5402, predictive_accuracy: 0.5412, prior_entropy: 0.9963, recall: 0.5412, relative_absolute_error: 0.9094, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6093, root_relative_squared_error: 1.2218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5927, f_measure: 0.5882, kappa: 0.1746, kb_relative_information_score: 24.6434, mean_absolute_error: 0.4371, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5898, predictive_accuracy: 0.5876, prior_entropy: 0.9963, recall: 0.5876, relative_absolute_error: 0.8787, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.573, root_relative_squared_error: 1.1489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3742, kb_relative_information_score: 12.6531, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.2874, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6811, root_relative_squared_error: 1.3658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.569, f_measure: 0.5779, kappa: 0.154, kb_relative_information_score: 17.3828, mean_absolute_error: 0.4552, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5795, predictive_accuracy: 0.5773, prior_entropy: 0.9963, recall: 0.5773, relative_absolute_error: 0.9151, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5594, root_relative_squared_error: 1.1218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6011, f_measure: 0.6034, kappa: 0.2085, kb_relative_information_score: 29.834, mean_absolute_error: 0.4232, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.6077, predictive_accuracy: 0.6031, prior_entropy: 0.9963, recall: 0.6031, relative_absolute_error: 0.8508, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5942, root_relative_squared_error: 1.1916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4925, f_measure: 0.4952, kappa: -0.0151, kb_relative_information_score: -1.4505, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4949, predictive_accuracy: 0.5, prior_entropy: 0.9963, recall: 0.5, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3742, kb_relative_information_score: 12.6531, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.2874, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6811, root_relative_squared_error: 1.3658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4925, f_measure: 0.4952, kappa: -0.0151, kb_relative_information_score: -1.4505, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4949, predictive_accuracy: 0.5, prior_entropy: 0.9963, recall: 0.5, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3742, kb_relative_information_score: 12.6531, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.2874, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6811, root_relative_squared_error: 1.3658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4925, f_measure: 0.4952, kappa: -0.0151, kb_relative_information_score: -1.4505, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4949, predictive_accuracy: 0.5, prior_entropy: 0.9963, recall: 0.5, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3742, kb_relative_information_score: 12.6531, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.2874, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6811, root_relative_squared_error: 1.3658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4925, f_measure: 0.4952, kappa: -0.0151, kb_relative_information_score: -1.4505, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4949, predictive_accuracy: 0.5, prior_entropy: 0.9963, recall: 0.5, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3742, kb_relative_information_score: 12.6531, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.2874, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6811, root_relative_squared_error: 1.3658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4859, f_measure: 0.3742, kb_relative_information_score: -0.0839, mean_absolute_error: 0.4976, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.2874, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.4987, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5471, f_measure: 0.5378, kappa: 0.07, kb_relative_information_score: 6.7285, mean_absolute_error: 0.4814, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5379, predictive_accuracy: 0.5412, prior_entropy: 0.9963, recall: 0.5412, relative_absolute_error: 0.9679, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5284, root_relative_squared_error: 1.0595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5696, f_measure: 0.572, kappa: 0.1392, kb_relative_information_score: 26.7567, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5719, predictive_accuracy: 0.5722, prior_entropy: 0.9963, recall: 0.5722, relative_absolute_error: 0.8601, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6541, root_relative_squared_error: 1.3116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, f_measure: 0.5076, kappa: 0.0088, kb_relative_information_score: 2.5791, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.507, predictive_accuracy: 0.5103, prior_entropy: 0.9963, recall: 0.5103, relative_absolute_error: 0.9845, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6998, root_relative_squared_error: 1.4032, scimark_benchmark: 1961.0876, usercpu_time_millis: 15562.5, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15546.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3742, kb_relative_information_score: 12.6531, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.2874, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6811, root_relative_squared_error: 1.3658, scimark_benchmark: 1697.6783, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3742, kb_relative_information_score: 12.6531, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.2874, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6811, root_relative_squared_error: 1.3658, scimark_benchmark: 1862.8608, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3742, kb_relative_information_score: 12.6531, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.2874, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6811, root_relative_squared_error: 1.3658, scimark_benchmark: 1597.2563, usercpu_time_millis: 60, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3742, kb_relative_information_score: 12.6531, mean_absolute_error: 0.4639, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.2874, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6811, root_relative_squared_error: 1.3658, scimark_benchmark: 1386.5937, usercpu_time_millis: 70, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, f_measure: 0.5076, kappa: 0.0088, kb_relative_information_score: 2.5791, mean_absolute_error: 0.4897, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.507, predictive_accuracy: 0.5103, prior_entropy: 0.9963, recall: 0.5103, relative_absolute_error: 0.9845, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6998, root_relative_squared_error: 1.4032, scimark_benchmark: 1682.8181, usercpu_time_millis: 12460, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 12450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6043, f_measure: 0.6015, kappa: 0.2144, kb_relative_information_score: 25.8008, mean_absolute_error: 0.4355, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.6144, predictive_accuracy: 0.6031, prior_entropy: 0.9963, recall: 0.6031, relative_absolute_error: 0.8756, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5242, root_relative_squared_error: 1.0512, scimark_benchmark: 1908.2191, usercpu_time_millis: 1093.75, usercpu_time_millis_training: 1093.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5614, f_measure: 0.5346, kappa: 0.0631, kb_relative_information_score: 12.5804, mean_absolute_error: 0.4642, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5341, predictive_accuracy: 0.5361, prior_entropy: 0.9963, recall: 0.5361, relative_absolute_error: 0.9331, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6233, root_relative_squared_error: 1.2499, scimark_benchmark: 1908.2191, usercpu_time_millis: 1250, usercpu_time_millis_training: 1250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6281, f_measure: 0.6232, kappa: 0.253, kb_relative_information_score: 46.9047, mean_absolute_error: 0.3763, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.6324, predictive_accuracy: 0.6237, prior_entropy: 0.9963, recall: 0.6237, relative_absolute_error: 0.7565, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6134, root_relative_squared_error: 1.2301, scimark_benchmark: 1827.4462, usercpu_time_millis: 5765.625, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 5750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5241, f_measure: 0.5517, kappa: 0.0991, kb_relative_information_score: 11.6264, mean_absolute_error: 0.469, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5519, predictive_accuracy: 0.5515, prior_entropy: 0.9963, recall: 0.5515, relative_absolute_error: 0.9429, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.63, root_relative_squared_error: 1.2633, scimark_benchmark: 1346.6387, usercpu_time_millis: 1410, usercpu_time_millis_training: 1410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5674, f_measure: 0.532, kappa: 0.063, kb_relative_information_score: 16.6655, mean_absolute_error: 0.4552, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5355, predictive_accuracy: 0.5412, prior_entropy: 0.9963, recall: 0.5412, relative_absolute_error: 0.9151, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5718, root_relative_squared_error: 1.1467, scimark_benchmark: 1871.4229, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6011, f_measure: 0.6034, kappa: 0.2085, kb_relative_information_score: 29.834, mean_absolute_error: 0.4232, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.6077, predictive_accuracy: 0.6031, prior_entropy: 0.9963, recall: 0.6031, relative_absolute_error: 0.8508, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5942, root_relative_squared_error: 1.1916, scimark_benchmark: 1311.574, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6038, f_measure: 0.6009, kappa: 0.2155, kb_relative_information_score: 26.6474, mean_absolute_error: 0.4331, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.616, predictive_accuracy: 0.6031, prior_entropy: 0.9963, recall: 0.6031, relative_absolute_error: 0.8707, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5206, root_relative_squared_error: 1.0439, scimark_benchmark: 1160.0452, usercpu_time_millis: 200, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6247, f_measure: 0.6277, kappa: 0.2505, kb_relative_information_score: 48.9195, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.6277, predictive_accuracy: 0.6289, prior_entropy: 0.9963, recall: 0.6289, relative_absolute_error: 0.7461, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6092, root_relative_squared_error: 1.2216, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6128, f_measure: 0.6161, kappa: 0.2273, kb_relative_information_score: 44.8899, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.6169, predictive_accuracy: 0.6186, prior_entropy: 0.9963, recall: 0.6186, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6176, root_relative_squared_error: 1.2385, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6166, f_measure: 0.577, kappa: 0.1489, kb_relative_information_score: 23.6364, mean_absolute_error: 0.4401, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5767, predictive_accuracy: 0.5773, prior_entropy: 0.9963, recall: 0.5773, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5236, root_relative_squared_error: 1.0499, 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: 0.5037, f_measure: 0.515, kappa: 0.0244, kb_relative_information_score: 4.5444, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5147, predictive_accuracy: 0.5155, prior_entropy: 0.9963, recall: 0.5155, relative_absolute_error: 0.9744, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6922, root_relative_squared_error: 1.3879, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, f_measure: 0.5509, kappa: 0.0964, kb_relative_information_score: 16.001, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5506, predictive_accuracy: 0.5515, prior_entropy: 0.9963, recall: 0.5515, relative_absolute_error: 0.9191, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5497, root_relative_squared_error: 1.1023, scimark_benchmark: 1744.8652, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6038, f_measure: 0.624, kappa: 0.2448, kb_relative_information_score: 16.7027, mean_absolute_error: 0.4636, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.6279, predictive_accuracy: 0.6289, prior_entropy: 0.9963, recall: 0.6289, relative_absolute_error: 0.932, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9817, 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: 0.5586, f_measure: 0.5676, kappa: 0.1334, kb_relative_information_score: 12.0849, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5692, predictive_accuracy: 0.567, prior_entropy: 0.9963, recall: 0.567, relative_absolute_error: 0.9449, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5242, root_relative_squared_error: 1.0511, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5763, f_measure: 0.5828, kappa: 0.1625, kb_relative_information_score: 9.6266, mean_absolute_error: 0.4767, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5835, predictive_accuracy: 0.5825, prior_entropy: 0.9963, recall: 0.5825, relative_absolute_error: 0.9583, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0097, 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: 0.613, f_measure: 0.6087, kappa: 0.2182, kb_relative_information_score: 32.7177, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.6123, predictive_accuracy: 0.6082, prior_entropy: 0.9963, recall: 0.6082, relative_absolute_error: 0.8361, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.587, root_relative_squared_error: 1.1771, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5723, f_measure: 0.583, kappa: 0.1637, kb_relative_information_score: 18.4466, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5842, predictive_accuracy: 0.5825, prior_entropy: 0.9963, recall: 0.5825, relative_absolute_error: 0.9106, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.558, root_relative_squared_error: 1.119, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6011, f_measure: 0.6034, kappa: 0.2085, kb_relative_information_score: 29.834, mean_absolute_error: 0.4232, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.6077, predictive_accuracy: 0.6031, prior_entropy: 0.9963, recall: 0.6031, relative_absolute_error: 0.8508, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5942, root_relative_squared_error: 1.1916, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6247, f_measure: 0.6277, kappa: 0.2505, kb_relative_information_score: 48.9195, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.6277, predictive_accuracy: 0.6289, prior_entropy: 0.9963, recall: 0.6289, relative_absolute_error: 0.7461, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6092, root_relative_squared_error: 1.2216, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6128, f_measure: 0.6161, kappa: 0.2273, kb_relative_information_score: 44.8899, mean_absolute_error: 0.3814, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.6169, predictive_accuracy: 0.6186, prior_entropy: 0.9963, recall: 0.6186, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6176, root_relative_squared_error: 1.2385, 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: 0.6038, f_measure: 0.6009, kappa: 0.2155, kb_relative_information_score: 26.6474, mean_absolute_error: 0.4331, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.616, predictive_accuracy: 0.6031, prior_entropy: 0.9963, recall: 0.6031, relative_absolute_error: 0.8707, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5206, root_relative_squared_error: 1.0439, scimark_benchmark: 1744.8652, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6166, f_measure: 0.577, kappa: 0.1489, kb_relative_information_score: 23.6364, mean_absolute_error: 0.4401, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5767, predictive_accuracy: 0.5773, prior_entropy: 0.9963, recall: 0.5773, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5236, root_relative_squared_error: 1.0499, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5037, f_measure: 0.515, kappa: 0.0244, kb_relative_information_score: 4.5444, mean_absolute_error: 0.4847, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5147, predictive_accuracy: 0.5155, prior_entropy: 0.9963, recall: 0.5155, relative_absolute_error: 0.9744, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6922, root_relative_squared_error: 1.3879, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, f_measure: 0.5509, kappa: 0.0964, kb_relative_information_score: 16.001, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5506, predictive_accuracy: 0.5515, prior_entropy: 0.9963, recall: 0.5515, relative_absolute_error: 0.9191, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5497, root_relative_squared_error: 1.1023, scimark_benchmark: 1744.8652, usercpu_time_millis: 125, usercpu_time_millis_training: 125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6038, f_measure: 0.624, kappa: 0.2448, kb_relative_information_score: 16.7027, mean_absolute_error: 0.4636, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.6279, predictive_accuracy: 0.6289, prior_entropy: 0.9963, recall: 0.6289, relative_absolute_error: 0.932, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.4896, root_relative_squared_error: 0.9817, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5586, f_measure: 0.5676, kappa: 0.1334, kb_relative_information_score: 12.0849, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5692, predictive_accuracy: 0.567, prior_entropy: 0.9963, recall: 0.567, relative_absolute_error: 0.9449, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5242, root_relative_squared_error: 1.0511, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5763, f_measure: 0.5828, kappa: 0.1625, kb_relative_information_score: 9.6266, mean_absolute_error: 0.4767, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5835, predictive_accuracy: 0.5825, prior_entropy: 0.9963, recall: 0.5825, relative_absolute_error: 0.9583, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0097, scimark_benchmark: 1744.8652, usercpu_time_millis: 93.75, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.613, f_measure: 0.6087, kappa: 0.2182, kb_relative_information_score: 32.7177, mean_absolute_error: 0.4159, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.6123, predictive_accuracy: 0.6082, prior_entropy: 0.9963, recall: 0.6082, relative_absolute_error: 0.8361, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.587, root_relative_squared_error: 1.1771, 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: 0.5723, f_measure: 0.583, kappa: 0.1637, kb_relative_information_score: 18.4466, mean_absolute_error: 0.4529, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5842, predictive_accuracy: 0.5825, prior_entropy: 0.9963, recall: 0.5825, relative_absolute_error: 0.9106, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.558, root_relative_squared_error: 1.119, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6166, f_measure: 0.577, kappa: 0.1489, kb_relative_information_score: 23.6364, mean_absolute_error: 0.4401, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5767, predictive_accuracy: 0.5773, prior_entropy: 0.9963, recall: 0.5773, relative_absolute_error: 0.8847, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5236, root_relative_squared_error: 1.0499, scimark_benchmark: 1327.5254, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, f_measure: 0.5509, kappa: 0.0964, kb_relative_information_score: 16.0588, mean_absolute_error: 0.457, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5506, predictive_accuracy: 0.5515, prior_entropy: 0.9963, recall: 0.5515, relative_absolute_error: 0.9187, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5497, root_relative_squared_error: 1.1022, scimark_benchmark: 1788.6668, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6061, f_measure: 0.6009, kappa: 0.2155, kb_relative_information_score: 27.3511, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.616, predictive_accuracy: 0.6031, prior_entropy: 0.9963, recall: 0.6031, relative_absolute_error: 0.8673, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5179, root_relative_squared_error: 1.0385, scimark_benchmark: 1788.6668, usercpu_time_millis: 93.75, usercpu_time_millis_training: 93.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5201, f_measure: 0.5091, kappa: 0.0118, kb_relative_information_score: 0.7647, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5085, predictive_accuracy: 0.5103, prior_entropy: 0.9963, recall: 0.5103, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5216, root_relative_squared_error: 1.0459, 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: 0.5052, f_measure: 0.4925, kappa: -0.0217, kb_relative_information_score: 0.3592, mean_absolute_error: 0.4961, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4917, predictive_accuracy: 0.4948, prior_entropy: 0.9963, recall: 0.4948, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5084, root_relative_squared_error: 1.0196, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5298, f_measure: 0.4579, kappa: -0.0335, kb_relative_information_score: 3.5651, mean_absolute_error: 0.4892, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4791, predictive_accuracy: 0.5052, prior_entropy: 0.9963, recall: 0.5052, relative_absolute_error: 0.9834, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5071, root_relative_squared_error: 1.0169, 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: 0.5273, f_measure: 0.4757, kappa: 0.0336, kb_relative_information_score: 1.3238, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5324, predictive_accuracy: 0.5412, prior_entropy: 0.9963, recall: 0.5412, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5018, root_relative_squared_error: 1.0063, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4959, f_measure: 0.3807, kappa: -0.0087, kb_relative_information_score: 10.6383, mean_absolute_error: 0.4691, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4409, predictive_accuracy: 0.5309, prior_entropy: 0.9963, recall: 0.5309, relative_absolute_error: 0.943, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6849, root_relative_squared_error: 1.3734, 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: 0.6247, f_measure: 0.6277, kappa: 0.2505, kb_relative_information_score: 48.9195, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.6277, predictive_accuracy: 0.6289, prior_entropy: 0.9963, recall: 0.6289, relative_absolute_error: 0.7461, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.6092, root_relative_squared_error: 1.2216, scimark_benchmark: 1291.6353, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5279, f_measure: 0.5723, kappa: 0.1405, kb_relative_information_score: 7.3006, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5725, predictive_accuracy: 0.5722, prior_entropy: 0.9963, recall: 0.5722, relative_absolute_error: 0.9704, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5108, root_relative_squared_error: 1.0242, scimark_benchmark: 1247.0406, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4914, f_measure: 0.4698, kappa: -0.0666, kb_relative_information_score: -0.2359, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4689, predictive_accuracy: 0.4742, prior_entropy: 0.9963, recall: 0.4742, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5253, root_relative_squared_error: 1.0534, scimark_benchmark: 1860.4354, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4799, f_measure: 0.4927, kappa: -0.0131, kb_relative_information_score: 1.2716, mean_absolute_error: 0.4933, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.4957, predictive_accuracy: 0.5052, prior_entropy: 0.9963, recall: 0.5052, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5565, root_relative_squared_error: 1.1159, 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: 0.5366, f_measure: 0.5188, kappa: 0.0929, kb_relative_information_score: 12.5506, mean_absolute_error: 0.4641, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5726, predictive_accuracy: 0.567, prior_entropy: 0.9963, recall: 0.567, relative_absolute_error: 0.9331, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.5734, root_relative_squared_error: 1.1498, scimark_benchmark: 1840.6094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6149, f_measure: 0.5775, kappa: 0.1511, kb_relative_information_score: 15.0912, mean_absolute_error: 0.4634, mean_prior_absolute_error: 0.4974, number_of_instances: 194, precision: 0.5796, predictive_accuracy: 0.5825, prior_entropy: 0.9963, recall: 0.5825, relative_absolute_error: 0.9317, root_mean_prior_squared_error: 0.4987, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9979, scimark_benchmark: 1873.1108, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,

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