Task
Supervised Classification on abalone

Supervised Classification on abalone

Task 3586 Supervised Classification abalone 541 runs submitted
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  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.7446, kappa: 0.4922, kb_relative_information_score: 1494.0244, mean_absolute_error: 0.3367, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7521, predictive_accuracy: 0.7462, prior_entropy: 1, recall: 0.7462, relative_absolute_error: 0.6734, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4192, root_relative_squared_error: 0.8384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8689, f_measure: 0.7885, kappa: 0.5773, kb_relative_information_score: 1798.6241, mean_absolute_error: 0.3025, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7891, predictive_accuracy: 0.7886, prior_entropy: 1, recall: 0.7886, relative_absolute_error: 0.6051, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.75, kappa: 0.5002, kb_relative_information_score: 1388.7902, mean_absolute_error: 0.353, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7502, predictive_accuracy: 0.7501, prior_entropy: 1, recall: 0.7501, relative_absolute_error: 0.7061, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4176, root_relative_squared_error: 0.8353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.7829, kappa: 0.5657, kb_relative_information_score: 1688.4105, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7829, predictive_accuracy: 0.7829, prior_entropy: 1, recall: 0.7829, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, f_measure: 0.7198, kappa: 0.4507, kb_relative_information_score: 1145.6121, mean_absolute_error: 0.3789, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7454, predictive_accuracy: 0.7256, prior_entropy: 1, recall: 0.7256, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7729, f_measure: 0.7635, kappa: 0.5269, kb_relative_information_score: 1678.5079, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7635, predictive_accuracy: 0.7635, prior_entropy: 1, recall: 0.7635, relative_absolute_error: 0.627, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4409, root_relative_squared_error: 0.8818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.7654, kappa: 0.5308, kb_relative_information_score: 2173.9284, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7654, predictive_accuracy: 0.7654, prior_entropy: 1, recall: 0.7654, relative_absolute_error: 0.4826, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4429, root_relative_squared_error: 0.8858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7281, f_measure: 0.7342, kappa: 0.4686, kb_relative_information_score: 1118.9744, mean_absolute_error: 0.3861, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7347, predictive_accuracy: 0.7343, prior_entropy: 1, recall: 0.7343, relative_absolute_error: 0.7721, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.8836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.7689, kappa: 0.538, kb_relative_information_score: 1652.033, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7692, predictive_accuracy: 0.769, prior_entropy: 1, recall: 0.769, relative_absolute_error: 0.6328, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.7866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.7448, kappa: 0.4896, kb_relative_information_score: 1983.028, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7449, predictive_accuracy: 0.7448, prior_entropy: 1, recall: 0.7448, relative_absolute_error: 0.5297, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4441, root_relative_squared_error: 0.8881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8699, f_measure: 0.79, kappa: 0.5801, kb_relative_information_score: 1874.3753, mean_absolute_error: 0.2888, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7902, predictive_accuracy: 0.79, prior_entropy: 1, recall: 0.79, relative_absolute_error: 0.5776, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.7342, kappa: 0.4686, kb_relative_information_score: 1943.0899, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7347, predictive_accuracy: 0.7343, prior_entropy: 1, recall: 0.7343, relative_absolute_error: 0.5355, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.7769, kappa: 0.5538, kb_relative_information_score: 1909.1762, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7769, predictive_accuracy: 0.7769, prior_entropy: 1, recall: 0.7769, relative_absolute_error: 0.5607, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3979, root_relative_squared_error: 0.7958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8011, f_measure: 0.7761, kappa: 0.5524, kb_relative_information_score: 2312.9135, mean_absolute_error: 0.2232, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7765, predictive_accuracy: 0.7762, prior_entropy: 1, recall: 0.7762, relative_absolute_error: 0.4464, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.7775, kappa: 0.5552, kb_relative_information_score: 1958.0878, mean_absolute_error: 0.2757, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7781, predictive_accuracy: 0.7776, prior_entropy: 1, recall: 0.7776, relative_absolute_error: 0.5515, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.7823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.863, f_measure: 0.7816, kappa: 0.5639, kb_relative_information_score: 1674.7914, mean_absolute_error: 0.3163, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7836, predictive_accuracy: 0.7819, prior_entropy: 1, recall: 0.7819, relative_absolute_error: 0.6325, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3885, root_relative_squared_error: 0.7769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3353, kb_relative_information_score: -0.0017, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.2518, predictive_accuracy: 0.5018, prior_entropy: 1, recall: 0.5018, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7635, kappa: 0.5269, kb_relative_information_score: 1859.8054, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7635, predictive_accuracy: 0.7635, prior_entropy: 1, recall: 0.7635, relative_absolute_error: 0.5691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7635, kappa: 0.5269, kb_relative_information_score: 1859.8054, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7635, predictive_accuracy: 0.7635, prior_entropy: 1, recall: 0.7635, relative_absolute_error: 0.5691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.7436, kappa: 0.4872, kb_relative_information_score: 1732.2293, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7436, predictive_accuracy: 0.7436, prior_entropy: 1, recall: 0.7436, relative_absolute_error: 0.5982, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4213, root_relative_squared_error: 0.8426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.7541, kappa: 0.5089, kb_relative_information_score: 2124.9618, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7559, predictive_accuracy: 0.7544, prior_entropy: 1, recall: 0.7544, relative_absolute_error: 0.4913, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.7752, kappa: 0.5504, kb_relative_information_score: 1810.76, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7754, predictive_accuracy: 0.7752, prior_entropy: 1, recall: 0.7752, relative_absolute_error: 0.5976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.7335, kappa: 0.4671, kb_relative_information_score: 1942.6449, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7339, predictive_accuracy: 0.7335, prior_entropy: 1, recall: 0.7335, relative_absolute_error: 0.5356, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4836, root_relative_squared_error: 0.9672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.7744, kappa: 0.549, kb_relative_information_score: 1866.6806, mean_absolute_error: 0.2912, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7749, predictive_accuracy: 0.7745, prior_entropy: 1, recall: 0.7745, relative_absolute_error: 0.5823, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.7751, kappa: 0.5505, kb_relative_information_score: 2298.9651, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7756, predictive_accuracy: 0.7752, prior_entropy: 1, recall: 0.7752, relative_absolute_error: 0.4496, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.7342, kappa: 0.4686, kb_relative_information_score: 1943.0899, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7347, predictive_accuracy: 0.7343, prior_entropy: 1, recall: 0.7343, relative_absolute_error: 0.5355, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.7847, kappa: 0.5696, kb_relative_information_score: 1934.66, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7856, predictive_accuracy: 0.7848, prior_entropy: 1, recall: 0.7848, relative_absolute_error: 0.5593, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.7662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.7751, kappa: 0.5505, kb_relative_information_score: 2298.9651, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7756, predictive_accuracy: 0.7752, prior_entropy: 1, recall: 0.7752, relative_absolute_error: 0.4496, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8216, f_measure: 0.7383, kappa: 0.4783, kb_relative_information_score: 1973.5836, mean_absolute_error: 0.2644, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7422, predictive_accuracy: 0.739, prior_entropy: 1, recall: 0.739, relative_absolute_error: 0.5288, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4772, root_relative_squared_error: 0.9544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.7752, kappa: 0.5504, kb_relative_information_score: 1810.76, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7754, predictive_accuracy: 0.7752, prior_entropy: 1, recall: 0.7752, relative_absolute_error: 0.5976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.8285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8207, f_measure: 0.7349, kappa: 0.47, kb_relative_information_score: 1949.2129, mean_absolute_error: 0.2671, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7355, predictive_accuracy: 0.735, prior_entropy: 1, recall: 0.735, relative_absolute_error: 0.5342, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4833, root_relative_squared_error: 0.9665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.7342, kappa: 0.4686, kb_relative_information_score: 1943.0899, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7347, predictive_accuracy: 0.7343, prior_entropy: 1, recall: 0.7343, relative_absolute_error: 0.5355, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8514, f_measure: 0.7568, kappa: 0.5141, kb_relative_information_score: 1659.3999, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7579, predictive_accuracy: 0.757, prior_entropy: 1, recall: 0.757, relative_absolute_error: 0.6311, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3988, root_relative_squared_error: 0.7976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.77, kappa: 0.5403, kb_relative_information_score: 1879.41, mean_absolute_error: 0.2846, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7707, predictive_accuracy: 0.7702, prior_entropy: 1, recall: 0.7702, relative_absolute_error: 0.5691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.7933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7182, f_measure: 0.7182, kappa: 0.4364, kb_relative_information_score: 1822.9562, mean_absolute_error: 0.2818, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7183, predictive_accuracy: 0.7182, prior_entropy: 1, recall: 0.7182, relative_absolute_error: 0.5636, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5308, root_relative_squared_error: 1.0617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, f_measure: 0.7249, kappa: 0.4499, kb_relative_information_score: 1878.9572, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.725, predictive_accuracy: 0.7249, prior_entropy: 1, recall: 0.7249, relative_absolute_error: 0.5502, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5245, root_relative_squared_error: 1.049, scimark_benchmark: 1697.6783, usercpu_time_millis: 1671.875, usercpu_time_millis_testing: 468.75, usercpu_time_millis_training: 1203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7445, f_measure: 0.7437, kappa: 0.4888, kb_relative_information_score: 2040.9603, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7472, predictive_accuracy: 0.7443, prior_entropy: 1, recall: 0.7443, relative_absolute_error: 0.5114, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5057, root_relative_squared_error: 1.0113, scimark_benchmark: 1697.6783, usercpu_time_millis: 2187.5, usercpu_time_millis_testing: 921.875, usercpu_time_millis_training: 1265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7533, f_measure: 0.7508, kappa: 0.5062, kb_relative_information_score: 2112.9616, mean_absolute_error: 0.2471, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7623, predictive_accuracy: 0.7529, prior_entropy: 1, recall: 0.7529, relative_absolute_error: 0.4941, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9941, scimark_benchmark: 1862.8608, usercpu_time_millis: 2562.5, usercpu_time_millis_testing: 953.125, usercpu_time_millis_training: 1609.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7445, f_measure: 0.7437, kappa: 0.4888, kb_relative_information_score: 2040.9603, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7472, predictive_accuracy: 0.7443, prior_entropy: 1, recall: 0.7443, relative_absolute_error: 0.5114, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5057, root_relative_squared_error: 1.0113, scimark_benchmark: 1312.1181, usercpu_time_millis: 4350, usercpu_time_millis_testing: 2020, usercpu_time_millis_training: 2330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7533, f_measure: 0.7508, kappa: 0.5062, kb_relative_information_score: 2112.9616, mean_absolute_error: 0.2471, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7623, predictive_accuracy: 0.7529, prior_entropy: 1, recall: 0.7529, relative_absolute_error: 0.4941, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9941, scimark_benchmark: 1391.5582, usercpu_time_millis: 3400, usercpu_time_millis_testing: 1570, usercpu_time_millis_training: 1830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.725, f_measure: 0.7249, kappa: 0.4499, kb_relative_information_score: 1878.9572, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.725, predictive_accuracy: 0.7249, prior_entropy: 1, recall: 0.7249, relative_absolute_error: 0.5502, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5245, root_relative_squared_error: 1.049, scimark_benchmark: 1562.8817, usercpu_time_millis: 1710, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 1120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.7812, kappa: 0.5635, kb_relative_information_score: 1764.2494, mean_absolute_error: 0.3075, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7841, predictive_accuracy: 0.7817, prior_entropy: 1, recall: 0.7817, relative_absolute_error: 0.6151, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.7914, scimark_benchmark: 1918.4916, usercpu_time_millis: 11859.375, usercpu_time_millis_training: 11859.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8732, f_measure: 0.7874, kappa: 0.5754, kb_relative_information_score: 1959.1758, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7889, predictive_accuracy: 0.7876, prior_entropy: 1, recall: 0.7876, relative_absolute_error: 0.5548, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7698, scimark_benchmark: 1918.4916, usercpu_time_millis: 11812.5, usercpu_time_millis_training: 11812.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7817, f_measure: 0.7817, kappa: 0.5633, kb_relative_information_score: 2352.9661, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7817, predictive_accuracy: 0.7817, prior_entropy: 1, recall: 0.7817, relative_absolute_error: 0.4367, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4673, root_relative_squared_error: 0.9345, scimark_benchmark: 1427.64, usercpu_time_millis: 1390.625, usercpu_time_millis_testing: 343.75, usercpu_time_millis_training: 1046.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8795, f_measure: 0.7998, kappa: 0.6003, kb_relative_information_score: 2029.4034, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.8024, predictive_accuracy: 0.8001, prior_entropy: 1, recall: 0.8001, relative_absolute_error: 0.5382, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.376, root_relative_squared_error: 0.752, scimark_benchmark: 1363.8814, usercpu_time_millis: 4640, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8731, f_measure: 0.7867, kappa: 0.574, kb_relative_information_score: 1955.8946, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7883, predictive_accuracy: 0.7869, prior_entropy: 1, recall: 0.7869, relative_absolute_error: 0.5557, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7698, scimark_benchmark: 1871.4229, usercpu_time_millis: 1265.625, usercpu_time_millis_training: 1265.625,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.7342, kappa: 0.4686, kb_relative_information_score: 1943.0899, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7347, predictive_accuracy: 0.7343, prior_entropy: 1, recall: 0.7343, relative_absolute_error: 0.5355, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9678, scimark_benchmark: 1313.7666, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.7751, kappa: 0.5505, kb_relative_information_score: 2298.9651, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7756, predictive_accuracy: 0.7752, prior_entropy: 1, recall: 0.7752, relative_absolute_error: 0.4496, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9483, scimark_benchmark: 1618.1738, usercpu_time_millis: 375, usercpu_time_millis_training: 375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7873, f_measure: 0.7872, kappa: 0.5747, kb_relative_information_score: 2400.967, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7884, predictive_accuracy: 0.7874, prior_entropy: 1, recall: 0.7874, relative_absolute_error: 0.4252, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9222, scimark_benchmark: 1618.1738, usercpu_time_millis: 156.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.7838, kappa: 0.5682, kb_relative_information_score: 1768.5431, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7854, predictive_accuracy: 0.7841, prior_entropy: 1, recall: 0.7841, relative_absolute_error: 0.6142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.7887, scimark_benchmark: 1744.8652, usercpu_time_millis: 1140.625, usercpu_time_millis_training: 1140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.7869, kappa: 0.5738, kb_relative_information_score: 1881.169, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.787, predictive_accuracy: 0.7869, prior_entropy: 1, recall: 0.7869, relative_absolute_error: 0.5768, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7621, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.722, f_measure: 0.722, kappa: 0.4441, kb_relative_information_score: 1854.2448, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7221, predictive_accuracy: 0.722, prior_entropy: 1, recall: 0.722, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5271, root_relative_squared_error: 1.0541, scimark_benchmark: 1744.8652, usercpu_time_millis: 593.75, usercpu_time_millis_testing: 578.125, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.7682, kappa: 0.5366, kb_relative_information_score: 1746.4427, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7688, predictive_accuracy: 0.7683, prior_entropy: 1, recall: 0.7683, relative_absolute_error: 0.6089, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.7904, scimark_benchmark: 1744.8652, usercpu_time_millis: 484.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 468.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.7815, kappa: 0.5634, kb_relative_information_score: 1642.5782, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7826, predictive_accuracy: 0.7817, prior_entropy: 1, recall: 0.7817, relative_absolute_error: 0.6479, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8194, scimark_benchmark: 1744.8652, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8382, f_measure: 0.7748, kappa: 0.55, kb_relative_information_score: 1848.297, mean_absolute_error: 0.2914, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7761, predictive_accuracy: 0.775, prior_entropy: 1, recall: 0.775, relative_absolute_error: 0.5828, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.8089, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8688, f_measure: 0.7837, kappa: 0.5677, kb_relative_information_score: 1937.9076, mean_absolute_error: 0.2788, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7844, predictive_accuracy: 0.7838, prior_entropy: 1, recall: 0.7838, relative_absolute_error: 0.5576, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.7672, scimark_benchmark: 1744.8652, usercpu_time_millis: 1343.75, usercpu_time_millis_testing: 281.25, usercpu_time_millis_training: 1062.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, f_measure: 0.7198, kappa: 0.4507, kb_relative_information_score: 1145.6121, mean_absolute_error: 0.3789, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7454, predictive_accuracy: 0.7256, prior_entropy: 1, recall: 0.7256, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8815, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, f_measure: 0.7754, kappa: 0.5509, kb_relative_information_score: 1814.9205, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7757, predictive_accuracy: 0.7754, prior_entropy: 1, recall: 0.7754, relative_absolute_error: 0.5965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.827, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.7342, kappa: 0.4686, kb_relative_information_score: 1943.0899, mean_absolute_error: 0.2677, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7347, predictive_accuracy: 0.7343, prior_entropy: 1, recall: 0.7343, relative_absolute_error: 0.5355, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4839, root_relative_squared_error: 0.9678, scimark_benchmark: 1744.8652, 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: 0.7753, f_measure: 0.7751, kappa: 0.5505, kb_relative_information_score: 2298.9651, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7756, predictive_accuracy: 0.7752, prior_entropy: 1, recall: 0.7752, relative_absolute_error: 0.4496, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9483, scimark_benchmark: 1744.8652, usercpu_time_millis: 390.625, usercpu_time_millis_training: 390.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7873, f_measure: 0.7872, kappa: 0.5747, kb_relative_information_score: 2400.967, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7884, predictive_accuracy: 0.7874, prior_entropy: 1, recall: 0.7874, relative_absolute_error: 0.4252, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9222, scimark_benchmark: 1744.8652, usercpu_time_millis: 140.625, usercpu_time_millis_training: 140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.7836, kappa: 0.5677, kb_relative_information_score: 1768.5408, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7851, predictive_accuracy: 0.7838, prior_entropy: 1, recall: 0.7838, relative_absolute_error: 0.6142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.7887, scimark_benchmark: 1744.8652, usercpu_time_millis: 1234.375, usercpu_time_millis_training: 1234.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.7869, kappa: 0.5738, kb_relative_information_score: 1881.169, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.787, predictive_accuracy: 0.7869, prior_entropy: 1, recall: 0.7869, relative_absolute_error: 0.5768, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7621, scimark_benchmark: 1744.8652, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.722, f_measure: 0.722, kappa: 0.4441, kb_relative_information_score: 1854.2448, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7221, predictive_accuracy: 0.722, prior_entropy: 1, recall: 0.722, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5271, root_relative_squared_error: 1.0541, scimark_benchmark: 1744.8652, usercpu_time_millis: 609.375, usercpu_time_millis_testing: 609.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.7682, kappa: 0.5366, kb_relative_information_score: 1746.4427, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7688, predictive_accuracy: 0.7683, prior_entropy: 1, recall: 0.7683, relative_absolute_error: 0.6089, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.7904, scimark_benchmark: 1744.8652, usercpu_time_millis: 484.375, usercpu_time_millis_training: 484.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.7833, kappa: 0.5667, kb_relative_information_score: 1666.9714, mean_absolute_error: 0.3206, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7838, predictive_accuracy: 0.7833, prior_entropy: 1, recall: 0.7833, relative_absolute_error: 0.6412, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8185, scimark_benchmark: 1744.8652, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.84, f_measure: 0.7748, kappa: 0.55, kb_relative_information_score: 1855.1275, mean_absolute_error: 0.2905, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7759, predictive_accuracy: 0.775, prior_entropy: 1, recall: 0.775, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4036, root_relative_squared_error: 0.8072, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.7801, kappa: 0.5605, kb_relative_information_score: 1941.9024, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7811, predictive_accuracy: 0.7802, prior_entropy: 1, recall: 0.7802, relative_absolute_error: 0.5571, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.383, root_relative_squared_error: 0.7659, scimark_benchmark: 1744.8652, usercpu_time_millis: 1734.375, usercpu_time_millis_testing: 390.625, usercpu_time_millis_training: 1343.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, f_measure: 0.7198, kappa: 0.4507, kb_relative_information_score: 1145.6121, mean_absolute_error: 0.3789, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7454, predictive_accuracy: 0.7256, prior_entropy: 1, recall: 0.7256, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8815, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, f_measure: 0.7756, kappa: 0.5514, kb_relative_information_score: 1815.5055, mean_absolute_error: 0.2982, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7759, predictive_accuracy: 0.7757, prior_entropy: 1, recall: 0.7757, relative_absolute_error: 0.5964, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4134, root_relative_squared_error: 0.8268, 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: 0.8741, f_measure: 0.7869, kappa: 0.5738, kb_relative_information_score: 1881.169, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.787, predictive_accuracy: 0.7869, prior_entropy: 1, recall: 0.7869, relative_absolute_error: 0.5768, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3811, root_relative_squared_error: 0.7621, scimark_benchmark: 1834.908, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.7682, kappa: 0.5366, kb_relative_information_score: 1746.4427, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7688, predictive_accuracy: 0.7683, prior_entropy: 1, recall: 0.7683, relative_absolute_error: 0.6089, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.7904, scimark_benchmark: 1788.6668, usercpu_time_millis: 609.375, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 593.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8509, f_measure: 0.7836, kappa: 0.5677, kb_relative_information_score: 1768.5301, mean_absolute_error: 0.3071, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7851, predictive_accuracy: 0.7838, prior_entropy: 1, recall: 0.7838, relative_absolute_error: 0.6142, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.7887, scimark_benchmark: 1788.6668, usercpu_time_millis: 1140.625, usercpu_time_millis_training: 1140.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.751, kappa: 0.502, kb_relative_information_score: 1627.6115, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.751, predictive_accuracy: 0.751, prior_entropy: 1, recall: 0.751, relative_absolute_error: 0.636, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4051, root_relative_squared_error: 0.8102, scimark_benchmark: 1788.6668, usercpu_time_millis: 281.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 265.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, f_measure: 0.7656, kappa: 0.5313, kb_relative_information_score: 1447.7428, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7657, predictive_accuracy: 0.7656, prior_entropy: 1, recall: 0.7656, relative_absolute_error: 0.6958, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4208, root_relative_squared_error: 0.8416, scimark_benchmark: 1788.6668, usercpu_time_millis: 78.125, usercpu_time_millis_training: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7536, kappa: 0.5074, kb_relative_information_score: 1509.8019, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.754, predictive_accuracy: 0.7537, prior_entropy: 1, recall: 0.7537, relative_absolute_error: 0.6743, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8229, scimark_benchmark: 1788.6668, usercpu_time_millis: 953.125, usercpu_time_millis_training: 953.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8505, f_measure: 0.7599, kappa: 0.5198, kb_relative_information_score: 1665.2827, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.76, predictive_accuracy: 0.7599, prior_entropy: 1, recall: 0.7599, relative_absolute_error: 0.6284, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3978, root_relative_squared_error: 0.7956, 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: 0.7545, f_measure: 0.7541, kappa: 0.5089, kb_relative_information_score: 2124.9618, mean_absolute_error: 0.2456, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7559, predictive_accuracy: 0.7544, prior_entropy: 1, recall: 0.7544, relative_absolute_error: 0.4913, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4956, root_relative_squared_error: 0.9912, scimark_benchmark: 1788.6668, usercpu_time_millis: 312.5, usercpu_time_millis_training: 312.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.7751, kappa: 0.5505, kb_relative_information_score: 2298.9651, mean_absolute_error: 0.2248, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7756, predictive_accuracy: 0.7752, prior_entropy: 1, recall: 0.7752, relative_absolute_error: 0.4496, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9483, scimark_benchmark: 1250.6082, usercpu_time_millis: 710, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.7829, kappa: 0.5657, kb_relative_information_score: 1688.4105, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7829, predictive_accuracy: 0.7829, prior_entropy: 1, recall: 0.7829, relative_absolute_error: 0.6352, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8147, scimark_benchmark: 1243.441, usercpu_time_millis: 650, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.7466, kappa: 0.4938, kb_relative_information_score: 1718.5039, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.748, predictive_accuracy: 0.7469, prior_entropy: 1, recall: 0.7469, relative_absolute_error: 0.6063, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8155, scimark_benchmark: 1860.4354, usercpu_time_millis: 734.375, usercpu_time_millis_testing: 718.75, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7613, f_measure: 0.6793, kappa: 0.3749, kb_relative_information_score: 1666.8805, mean_absolute_error: 0.3005, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7093, predictive_accuracy: 0.6878, prior_entropy: 1, recall: 0.6878, relative_absolute_error: 0.601, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9466, scimark_benchmark: 1840.6094, usercpu_time_millis: 734.375, usercpu_time_millis_testing: 718.75, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7791, f_measure: 0.6956, kappa: 0.4033, kb_relative_information_score: 1820.608, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7195, predictive_accuracy: 0.7019, prior_entropy: 1, recall: 0.7019, relative_absolute_error: 0.5642, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4605, root_relative_squared_error: 0.921, scimark_benchmark: 1840.6094, usercpu_time_millis: 625, usercpu_time_millis_testing: 625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.774, kappa: 0.5484, kb_relative_information_score: 1896.0187, mean_absolute_error: 0.2833, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7754, predictive_accuracy: 0.7742, prior_entropy: 1, recall: 0.7742, relative_absolute_error: 0.5666, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7809, scimark_benchmark: 1873.1108, usercpu_time_millis: 796.875, usercpu_time_millis_testing: 796.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8191, f_measure: 0.7436, kappa: 0.4872, kb_relative_information_score: 1732.5922, mean_absolute_error: 0.2991, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7436, predictive_accuracy: 0.7436, prior_entropy: 1, recall: 0.7436, relative_absolute_error: 0.5982, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4212, root_relative_squared_error: 0.8425, scimark_benchmark: 1873.1108, usercpu_time_millis: 640.625, usercpu_time_millis_testing: 625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.7635, kappa: 0.5269, kb_relative_information_score: 1859.8054, mean_absolute_error: 0.2845, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7635, predictive_accuracy: 0.7635, prior_entropy: 1, recall: 0.7635, relative_absolute_error: 0.5691, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8206, scimark_benchmark: 1873.1108, usercpu_time_millis: 703.125, usercpu_time_millis_testing: 703.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7871, f_measure: 0.7871, kappa: 0.5743, kb_relative_information_score: 2398.9669, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7873, predictive_accuracy: 0.7872, prior_entropy: 1, recall: 0.7872, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9227, usercpu_time_millis: 2.049, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 2.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.722, f_measure: 0.722, kappa: 0.4441, kb_relative_information_score: 1854.9568, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7221, predictive_accuracy: 0.722, prior_entropy: 1, recall: 0.722, relative_absolute_error: 0.5559, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5272, root_relative_squared_error: 1.0544, usercpu_time_millis: 9.343, usercpu_time_millis_testing: 1.205, usercpu_time_millis_training: 8.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7764, f_measure: 0.7764, kappa: 0.5528, kb_relative_information_score: 2308.9652, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7766, predictive_accuracy: 0.7764, prior_entropy: 1, recall: 0.7764, relative_absolute_error: 0.4472, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.7591, kappa: 0.5184, kb_relative_information_score: 2164.9626, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7594, predictive_accuracy: 0.7592, prior_entropy: 1, recall: 0.7592, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4908, root_relative_squared_error: 0.9815, scimark_benchmark: 1779.392, usercpu_time_millis: 156.001, usercpu_time_millis_training: 156.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7873, f_measure: 0.7872, kappa: 0.5747, kb_relative_information_score: 2400.967, mean_absolute_error: 0.2126, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7884, predictive_accuracy: 0.7874, prior_entropy: 1, recall: 0.7874, relative_absolute_error: 0.4252, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4611, root_relative_squared_error: 0.9222, scimark_benchmark: 1779.392, usercpu_time_millis: 140.4009, usercpu_time_millis_training: 140.4009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.7911, kappa: 0.5825, kb_relative_information_score: 2432.9675, mean_absolute_error: 0.2088, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7919, predictive_accuracy: 0.7912, prior_entropy: 1, recall: 0.7912, relative_absolute_error: 0.4175, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.7587, kappa: 0.5174, kb_relative_information_score: 1700.9452, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7588, predictive_accuracy: 0.7587, prior_entropy: 1, recall: 0.7587, relative_absolute_error: 0.618, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4102, root_relative_squared_error: 0.8203, scimark_benchmark: 1779.392, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7748, kappa: 0.55, kb_relative_information_score: 1857.1485, mean_absolute_error: 0.2901, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7761, predictive_accuracy: 0.775, prior_entropy: 1, recall: 0.775, relative_absolute_error: 0.5803, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4045, root_relative_squared_error: 0.809, scimark_benchmark: 1779.392, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7637, f_measure: 0.7489, kappa: 0.4977, kb_relative_information_score: 1429.2927, mean_absolute_error: 0.3451, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7489, predictive_accuracy: 0.7489, prior_entropy: 1, recall: 0.7489, relative_absolute_error: 0.6901, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4378, root_relative_squared_error: 0.8756, scimark_benchmark: 1732.2066, usercpu_time_millis: 31.2002, usercpu_time_millis_training: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, f_measure: 0.7198, kappa: 0.4507, kb_relative_information_score: 1145.6121, mean_absolute_error: 0.3789, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7454, predictive_accuracy: 0.7256, prior_entropy: 1, recall: 0.7256, relative_absolute_error: 0.7578, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.8815, scimark_benchmark: 1732.2066, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7248, f_measure: 0.7247, kappa: 0.4497, kb_relative_information_score: 1878.9572, mean_absolute_error: 0.2751, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7254, predictive_accuracy: 0.7249, prior_entropy: 1, recall: 0.7249, relative_absolute_error: 0.5502, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5245, root_relative_squared_error: 1.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5613, f_measure: 0.4604, kappa: 0.1222, kb_relative_information_score: 498.9316, mean_absolute_error: 0.4403, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7341, predictive_accuracy: 0.5597, prior_entropy: 1, recall: 0.5597, relative_absolute_error: 0.8805, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6635, root_relative_squared_error: 1.3271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7932, f_measure: 0.7931, kappa: 0.5863, kb_relative_information_score: 2448.9678, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.5, number_of_instances: 4177, precision: 0.7935, predictive_accuracy: 0.7932, prior_entropy: 1, recall: 0.7932, relative_absolute_error: 0.4137, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9096,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs