OpenML
Supervised Classification on fri_c3_500_25

Supervised Classification on fri_c3_500_25

Task 3759 Supervised Classification fri_c3_500_25 593 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: 0.9615, f_measure: 0.8844, kappa: 0.7669, kb_relative_information_score: 332.3058, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8876, predictive_accuracy: 0.884, prior_entropy: 0.9897, recall: 0.884, relative_absolute_error: 0.3546, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.5686, scimark_benchmark: 1447.2612, 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: 0.9278, f_measure: 0.8644, kappa: 0.7293, kb_relative_information_score: 364.5589, mean_absolute_error: 0.1328, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8759, predictive_accuracy: 0.864, prior_entropy: 0.9897, recall: 0.864, relative_absolute_error: 0.2695, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.604, 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: 0.6019, f_measure: 0.5391, kappa: 0.1278, kb_relative_information_score: 68.6871, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.5828, predictive_accuracy: 0.548, prior_entropy: 0.9897, recall: 0.548, relative_absolute_error: 0.8566, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5653, root_relative_squared_error: 1.1387, scimark_benchmark: 1840.6094, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.723, f_measure: 0.6704, kappa: 0.332, kb_relative_information_score: 86.0797, mean_absolute_error: 0.418, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6709, predictive_accuracy: 0.67, prior_entropy: 0.9897, recall: 0.67, relative_absolute_error: 0.8482, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4574, root_relative_squared_error: 0.9215, scimark_benchmark: 1873.1108, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9422, f_measure: 0.8722, kappa: 0.741, kb_relative_information_score: 336.6916, mean_absolute_error: 0.1659, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8726, predictive_accuracy: 0.872, prior_entropy: 0.9897, recall: 0.872, relative_absolute_error: 0.3366, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.6062, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6189, kappa: 0.2251, kb_relative_information_score: 78.7511, mean_absolute_error: 0.4193, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6183, predictive_accuracy: 0.62, prior_entropy: 0.9897, recall: 0.62, relative_absolute_error: 0.8507, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4879, root_relative_squared_error: 0.9829, scimark_benchmark: 1873.1108, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8818, kappa: 0.7597, kb_relative_information_score: 379.489, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8819, predictive_accuracy: 0.882, prior_entropy: 0.9897, recall: 0.882, relative_absolute_error: 0.2394, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6289, f_measure: 0.6381, kappa: 0.2641, kb_relative_information_score: 138.5508, mean_absolute_error: 0.354, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.643, predictive_accuracy: 0.646, prior_entropy: 0.9897, recall: 0.646, relative_absolute_error: 0.7183, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.595, root_relative_squared_error: 1.1986, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5933, f_measure: 0.5974, kappa: 0.1957, kb_relative_information_score: 114.0486, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6225, predictive_accuracy: 0.622, prior_entropy: 0.9897, recall: 0.622, relative_absolute_error: 0.767, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6148, root_relative_squared_error: 1.2386, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8774, f_measure: 0.8457, kappa: 0.6864, kb_relative_information_score: 297.5807, mean_absolute_error: 0.2104, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8457, predictive_accuracy: 0.846, prior_entropy: 0.9897, recall: 0.846, relative_absolute_error: 0.4269, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.7264, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8497, f_measure: 0.8279, kappa: 0.6506, kb_relative_information_score: 280.3614, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8279, predictive_accuracy: 0.828, prior_entropy: 0.9897, recall: 0.828, relative_absolute_error: 0.464, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3794, root_relative_squared_error: 0.7643, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7072, f_measure: 0.6733, kappa: 0.3348, kb_relative_information_score: 89.0264, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6738, predictive_accuracy: 0.676, prior_entropy: 0.9897, recall: 0.676, relative_absolute_error: 0.8413, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9404, scimark_benchmark: 1870.7932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.655, f_measure: 0.6203, kappa: 0.2273, kb_relative_information_score: 79.963, mean_absolute_error: 0.4196, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6196, predictive_accuracy: 0.622, prior_entropy: 0.9897, recall: 0.622, relative_absolute_error: 0.8513, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0012, scimark_benchmark: 1870.7932, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: 50.7513, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9897, recall: 0.56, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7073, f_measure: 0.6714, kappa: 0.331, kb_relative_information_score: 89.0809, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6718, predictive_accuracy: 0.674, prior_entropy: 0.9897, recall: 0.674, relative_absolute_error: 0.8412, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9404, scimark_benchmark: 1732.2066, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6737, f_measure: 0.6326, kappa: 0.2526, kb_relative_information_score: 86.5369, mean_absolute_error: 0.4145, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.632, predictive_accuracy: 0.634, prior_entropy: 0.9897, recall: 0.634, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4842, root_relative_squared_error: 0.9754, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6222, f_measure: 0.6313, kappa: 0.2497, kb_relative_information_score: 130.3834, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6343, predictive_accuracy: 0.638, prior_entropy: 0.9897, recall: 0.638, relative_absolute_error: 0.7345, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6017, root_relative_squared_error: 1.2121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8823, f_measure: 0.884, kappa: 0.7646, kb_relative_information_score: 381.5309, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.884, predictive_accuracy: 0.884, prior_entropy: 0.9897, recall: 0.884, relative_absolute_error: 0.2354, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.6861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7711, f_measure: 0.777, kappa: 0.5462, kb_relative_information_score: 273.3129, mean_absolute_error: 0.222, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.7774, predictive_accuracy: 0.778, prior_entropy: 0.9897, recall: 0.778, relative_absolute_error: 0.4505, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8819, f_measure: 0.8819, kappa: 0.7602, kb_relative_information_score: 350.7303, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8819, predictive_accuracy: 0.882, prior_entropy: 0.9897, recall: 0.882, relative_absolute_error: 0.3147, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.67, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.8381, kappa: 0.6717, kb_relative_information_score: 327.9338, mean_absolute_error: 0.1709, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8383, predictive_accuracy: 0.838, prior_entropy: 0.9897, recall: 0.838, relative_absolute_error: 0.3468, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3926, root_relative_squared_error: 0.7908, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9598, f_measure: 0.9038, kappa: 0.8046, kb_relative_information_score: 348.4267, mean_absolute_error: 0.1594, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.904, predictive_accuracy: 0.904, prior_entropy: 0.9897, recall: 0.904, relative_absolute_error: 0.3235, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.2779, root_relative_squared_error: 0.5599, scimark_benchmark: 1806.5905, usercpu_time_millis: 62.4004, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8615, kappa: 0.7182, kb_relative_information_score: 231.2526, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8621, predictive_accuracy: 0.862, prior_entropy: 0.9897, recall: 0.862, relative_absolute_error: 0.5847, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6815, scimark_benchmark: 1806.5905, usercpu_time_millis: 124.8008, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 109.2007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.8739, kappa: 0.7439, kb_relative_information_score: 370.1143, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8739, predictive_accuracy: 0.874, prior_entropy: 0.9897, recall: 0.874, relative_absolute_error: 0.259, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.7135, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5956, f_measure: 0.6005, kappa: 0.1907, kb_relative_information_score: 91.2654, mean_absolute_error: 0.4004, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6012, predictive_accuracy: 0.6, prior_entropy: 0.9897, recall: 0.6, relative_absolute_error: 0.8125, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6311, root_relative_squared_error: 1.2713, scimark_benchmark: 1806.5905, usercpu_time_millis: 31.2002, usercpu_time_millis_testing: 31.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7073, f_measure: 0.6714, kappa: 0.331, kb_relative_information_score: 89.0809, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6718, predictive_accuracy: 0.674, prior_entropy: 0.9897, recall: 0.674, relative_absolute_error: 0.8412, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9404, scimark_benchmark: 1877.5305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6737, f_measure: 0.6326, kappa: 0.2526, kb_relative_information_score: 86.5369, mean_absolute_error: 0.4145, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.632, predictive_accuracy: 0.634, prior_entropy: 0.9897, recall: 0.634, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4842, root_relative_squared_error: 0.9754, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: -0.0052, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9897, recall: 0.56, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4964, root_relative_squared_error: 1, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6271, f_measure: 0.6322, kappa: 0.254, kb_relative_information_score: 124.2578, mean_absolute_error: 0.368, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6324, predictive_accuracy: 0.632, prior_entropy: 0.9897, recall: 0.632, relative_absolute_error: 0.7467, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6066, root_relative_squared_error: 1.2221, usercpu_time_millis: 1.411, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.839, f_measure: 0.8419, kappa: 0.6789, kb_relative_information_score: 338.652, mean_absolute_error: 0.158, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8418, predictive_accuracy: 0.842, prior_entropy: 0.9897, recall: 0.842, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8008, usercpu_time_millis: 5.407, usercpu_time_millis_testing: 0.461, usercpu_time_millis_training: 4.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, f_measure: 0.668, kappa: 0.3243, kb_relative_information_score: 167.1367, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6723, predictive_accuracy: 0.674, prior_entropy: 0.9897, recall: 0.674, relative_absolute_error: 0.6615, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.571, root_relative_squared_error: 1.1502, usercpu_time_millis: 1.26, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 1.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6135, f_measure: 0.622, kappa: 0.2302, kb_relative_information_score: 118.1323, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6223, predictive_accuracy: 0.626, prior_entropy: 0.9897, recall: 0.626, relative_absolute_error: 0.7589, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6116, root_relative_squared_error: 1.232, usercpu_time_millis: 0.403, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, f_measure: 0.6277, kappa: 0.2422, kb_relative_information_score: 122.216, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6273, predictive_accuracy: 0.63, prior_entropy: 0.9897, recall: 0.63, relative_absolute_error: 0.7508, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2254, usercpu_time_millis: 1.171, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 1.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5599, f_measure: 0.5534, kappa: 0.1275, kb_relative_information_score: 87.5046, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.5953, predictive_accuracy: 0.596, prior_entropy: 0.9897, recall: 0.596, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6356, root_relative_squared_error: 1.2805, usercpu_time_millis: 0.486, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7792, f_measure: 0.785, kappa: 0.5626, kb_relative_information_score: 281.4803, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.7855, predictive_accuracy: 0.786, prior_entropy: 0.9897, recall: 0.786, relative_absolute_error: 0.4342, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9319, usercpu_time_millis: 12.937, usercpu_time_millis_testing: 0.728, usercpu_time_millis_training: 12.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.8304, kappa: 0.6569, kb_relative_information_score: 326.4009, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8315, predictive_accuracy: 0.83, prior_entropy: 0.9897, recall: 0.83, relative_absolute_error: 0.3449, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8306, usercpu_time_millis: 0.299, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 0.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.899, f_measure: 0.9, kappa: 0.7973, kb_relative_information_score: 397.8657, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.9001, predictive_accuracy: 0.9, prior_entropy: 0.9897, recall: 0.9, relative_absolute_error: 0.2029, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6371, usercpu_time_millis: 371.751, usercpu_time_millis_testing: 7.408, usercpu_time_millis_training: 364.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.624, f_measure: 0.6317, kappa: 0.2504, kb_relative_information_score: 126.2997, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6313, predictive_accuracy: 0.634, prior_entropy: 0.9897, recall: 0.634, relative_absolute_error: 0.7427, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.605, root_relative_squared_error: 1.2188, usercpu_time_millis: 15.564, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 15.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.8773, kappa: 0.7504, kb_relative_information_score: 375.4053, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8788, predictive_accuracy: 0.878, prior_entropy: 0.9897, recall: 0.878, relative_absolute_error: 0.2476, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3493, root_relative_squared_error: 0.7037, usercpu_time_millis: 34.548, usercpu_time_millis_testing: 3.812, usercpu_time_millis_training: 30.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8766, f_measure: 0.8815, kappa: 0.7588, kb_relative_information_score: 379.489, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8825, predictive_accuracy: 0.882, prior_entropy: 0.9897, recall: 0.882, relative_absolute_error: 0.2394, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.692, usercpu_time_millis: 6.581, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 6.316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.8756, kappa: 0.7469, kb_relative_information_score: 373.3635, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8762, predictive_accuracy: 0.876, prior_entropy: 0.9897, recall: 0.876, relative_absolute_error: 0.2516, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7094, usercpu_time_millis: 7.031, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 6.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6351, f_measure: 0.6413, kappa: 0.2711, kb_relative_information_score: 134.4671, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6409, predictive_accuracy: 0.642, prior_entropy: 0.9897, recall: 0.642, relative_absolute_error: 0.7264, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5983, root_relative_squared_error: 1.2054, usercpu_time_millis: 0.299, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.611, f_measure: 0.6184, kappa: 0.2236, kb_relative_information_score: 112.0068, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6178, predictive_accuracy: 0.62, prior_entropy: 0.9897, recall: 0.62, relative_absolute_error: 0.7711, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6164, root_relative_squared_error: 1.2419, usercpu_time_millis: 0.328, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5927, f_measure: 0.6014, kappa: 0.1882, kb_relative_information_score: 97.7138, mean_absolute_error: 0.394, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6015, predictive_accuracy: 0.606, prior_entropy: 0.9897, recall: 0.606, relative_absolute_error: 0.7995, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6277, root_relative_squared_error: 1.2645, usercpu_time_millis: 0.224, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6205, f_measure: 0.628, kappa: 0.2429, kb_relative_information_score: 122.216, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6275, predictive_accuracy: 0.63, prior_entropy: 0.9897, recall: 0.63, relative_absolute_error: 0.7508, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2254, usercpu_time_millis: 0.6, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8154, f_measure: 0.8196, kappa: 0.6333, kb_relative_information_score: 316.1917, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8196, predictive_accuracy: 0.82, prior_entropy: 0.9897, recall: 0.82, relative_absolute_error: 0.3652, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.8547, usercpu_time_millis: 56.582, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 56.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5195, f_measure: 0.4636, kappa: 0.0429, kb_relative_information_score: 63.0024, mean_absolute_error: 0.428, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.5833, predictive_accuracy: 0.572, prior_entropy: 0.9897, recall: 0.572, relative_absolute_error: 0.8685, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6542, root_relative_squared_error: 1.318, usercpu_time_millis: 1.193, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 1.174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.8363, kappa: 0.6688, kb_relative_information_score: 332.5265, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8373, predictive_accuracy: 0.836, prior_entropy: 0.9897, recall: 0.836, relative_absolute_error: 0.3328, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8158, usercpu_time_millis: 2.356, usercpu_time_millis_testing: 0.719, usercpu_time_millis_training: 1.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7346, f_measure: 0.7408, kappa: 0.4726, kb_relative_information_score: 236.5596, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.741, predictive_accuracy: 0.742, prior_entropy: 0.9897, recall: 0.742, relative_absolute_error: 0.5235, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5079, root_relative_squared_error: 1.0233, usercpu_time_millis: 1.898, usercpu_time_millis_testing: 0.68, usercpu_time_millis_training: 1.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6669, f_measure: 0.6652, kappa: 0.3286, kb_relative_information_score: 156.9274, mean_absolute_error: 0.336, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6718, predictive_accuracy: 0.664, prior_entropy: 0.9897, recall: 0.664, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5797, root_relative_squared_error: 1.1677, usercpu_time_millis: 24.823, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 24.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5289, f_measure: 0.5374, kappa: 0.0583, kb_relative_information_score: 30.3328, mean_absolute_error: 0.46, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.5361, predictive_accuracy: 0.54, prior_entropy: 0.9897, recall: 0.54, relative_absolute_error: 0.9334, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6782, root_relative_squared_error: 1.3663, usercpu_time_millis: 0.197, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6526, f_measure: 0.6549, kappa: 0.303, kb_relative_information_score: 146.7182, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6571, predictive_accuracy: 0.654, prior_entropy: 0.9897, recall: 0.654, relative_absolute_error: 0.7021, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5882, root_relative_squared_error: 1.185, usercpu_time_millis: 0.749, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7508, f_measure: 0.7525, kappa: 0.4992, kb_relative_information_score: 246.7688, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.7536, predictive_accuracy: 0.752, prior_entropy: 0.9897, recall: 0.752, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0032, usercpu_time_millis: 17.818, usercpu_time_millis_testing: 1.614, usercpu_time_millis_training: 16.204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6255, f_measure: 0.6326, kappa: 0.2526, kb_relative_information_score: 126.2997, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.632, predictive_accuracy: 0.634, prior_entropy: 0.9897, recall: 0.634, relative_absolute_error: 0.7427, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.605, root_relative_squared_error: 1.2188, usercpu_time_millis: 1.19, usercpu_time_millis_testing: 0.898, usercpu_time_millis_training: 0.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6205, f_measure: 0.628, kappa: 0.2429, kb_relative_information_score: 122.216, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6275, predictive_accuracy: 0.63, prior_entropy: 0.9897, recall: 0.63, relative_absolute_error: 0.7508, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2254, usercpu_time_millis: 0.392, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6127, f_measure: 0.6209, kappa: 0.228, kb_relative_information_score: 116.0905, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6207, predictive_accuracy: 0.624, prior_entropy: 0.9897, recall: 0.624, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2353, usercpu_time_millis: 1.265, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 1.246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6205, f_measure: 0.628, kappa: 0.2429, kb_relative_information_score: 122.216, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6275, predictive_accuracy: 0.63, prior_entropy: 0.9897, recall: 0.63, relative_absolute_error: 0.7508, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2254, usercpu_time_millis: 0.306, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7458, f_measure: 0.7483, kappa: 0.4901, kb_relative_information_score: 242.6851, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.7489, predictive_accuracy: 0.748, prior_entropy: 0.9897, recall: 0.748, relative_absolute_error: 0.5113, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0113, usercpu_time_millis: 1.938, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 1.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6182, f_measure: 0.6259, kappa: 0.2385, kb_relative_information_score: 120.1742, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6254, predictive_accuracy: 0.628, prior_entropy: 0.9897, recall: 0.628, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6099, root_relative_squared_error: 1.2287, usercpu_time_millis: 0.39, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 0.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, f_measure: 0.6277, kappa: 0.2422, kb_relative_information_score: 122.216, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6273, predictive_accuracy: 0.63, prior_entropy: 0.9897, recall: 0.63, relative_absolute_error: 0.7508, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2254, usercpu_time_millis: 0.081, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6281, f_measure: 0.6358, kappa: 0.2586, kb_relative_information_score: 130.3834, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6354, predictive_accuracy: 0.638, prior_entropy: 0.9897, recall: 0.638, relative_absolute_error: 0.7345, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6017, root_relative_squared_error: 1.2121, usercpu_time_millis: 0.188, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.8538, kappa: 0.703, kb_relative_information_score: 350.9031, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8538, predictive_accuracy: 0.854, prior_entropy: 0.9897, recall: 0.854, relative_absolute_error: 0.2962, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3821, root_relative_squared_error: 0.7698, usercpu_time_millis: 3.07, usercpu_time_millis_testing: 0.79, usercpu_time_millis_training: 2.28,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6373, f_measure: 0.6434, kappa: 0.2755, kb_relative_information_score: 136.5089, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.643, predictive_accuracy: 0.644, prior_entropy: 0.9897, recall: 0.644, relative_absolute_error: 0.7224, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5967, root_relative_squared_error: 1.202, usercpu_time_millis: 0.29, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 0.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6606, f_measure: 0.6698, kappa: 0.3281, kb_relative_information_score: 169.1785, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6745, predictive_accuracy: 0.676, prior_entropy: 0.9897, recall: 0.676, relative_absolute_error: 0.6574, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5692, root_relative_squared_error: 1.1467, usercpu_time_millis: 0.936, usercpu_time_millis_testing: 0.117, usercpu_time_millis_training: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6182, f_measure: 0.6259, kappa: 0.2385, kb_relative_information_score: 120.1742, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6254, predictive_accuracy: 0.628, prior_entropy: 0.9897, recall: 0.628, relative_absolute_error: 0.7548, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6099, root_relative_squared_error: 1.2287, usercpu_time_millis: 0.742, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.8381, kappa: 0.6717, kb_relative_information_score: 334.5683, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8383, predictive_accuracy: 0.838, prior_entropy: 0.9897, recall: 0.838, relative_absolute_error: 0.3287, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8108, usercpu_time_millis: 2.62, usercpu_time_millis_testing: 0.874, usercpu_time_millis_training: 1.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5956, f_measure: 0.6005, kappa: 0.1907, kb_relative_information_score: 91.5883, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6012, predictive_accuracy: 0.6, prior_entropy: 0.9897, recall: 0.6, relative_absolute_error: 0.8116, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6325, root_relative_squared_error: 1.2741, usercpu_time_millis: 2.452, usercpu_time_millis_testing: 0.747, usercpu_time_millis_training: 1.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6276, f_measure: 0.6355, kappa: 0.2578, kb_relative_information_score: 130.3834, mean_absolute_error: 0.362, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6352, predictive_accuracy: 0.638, prior_entropy: 0.9897, recall: 0.638, relative_absolute_error: 0.7345, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6017, root_relative_squared_error: 1.2121, usercpu_time_millis: 0.565, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 0.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6445, f_measure: 0.651, kappa: 0.2904, kb_relative_information_score: 144.6763, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6505, predictive_accuracy: 0.652, prior_entropy: 0.9897, recall: 0.652, relative_absolute_error: 0.7061, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5899, root_relative_squared_error: 1.1884, usercpu_time_millis: 1.242, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 1.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4021, kb_relative_information_score: 50.7513, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.3136, predictive_accuracy: 0.56, prior_entropy: 0.9897, recall: 0.56, relative_absolute_error: 0.8928, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.3363, usercpu_time_millis: 0.787, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8099, f_measure: 0.8152, kappa: 0.6241, kb_relative_information_score: 312.108, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8157, predictive_accuracy: 0.816, prior_entropy: 0.9897, recall: 0.816, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8641, usercpu_time_millis: 24.34, usercpu_time_millis_testing: 2.449, usercpu_time_millis_training: 21.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.8452, kappa: 0.6849, kb_relative_information_score: 342.7357, mean_absolute_error: 0.154, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8464, predictive_accuracy: 0.846, prior_entropy: 0.9897, recall: 0.846, relative_absolute_error: 0.3125, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.7906, usercpu_time_millis: 2.618, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 2.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, f_measure: 0.6877, kappa: 0.4029, kb_relative_information_score: 185.5133, mean_absolute_error: 0.308, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.7377, predictive_accuracy: 0.692, prior_entropy: 0.9897, recall: 0.692, relative_absolute_error: 0.625, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.555, root_relative_squared_error: 1.118, usercpu_time_millis: 1.216, usercpu_time_millis_testing: 0.154, usercpu_time_millis_training: 1.062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5177, f_measure: 0.5116, kappa: 0.0375, kb_relative_information_score: 42.5839, mean_absolute_error: 0.448, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.5315, predictive_accuracy: 0.552, prior_entropy: 0.9897, recall: 0.552, relative_absolute_error: 0.909, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6693, root_relative_squared_error: 1.3484, usercpu_time_millis: 0.371, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.8818, kappa: 0.76, kb_relative_information_score: 379.489, mean_absolute_error: 0.118, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8819, predictive_accuracy: 0.882, prior_entropy: 0.9897, recall: 0.882, relative_absolute_error: 0.2394, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3435, root_relative_squared_error: 0.692, usercpu_time_millis: 92.848, usercpu_time_millis_testing: 5.241, usercpu_time_millis_training: 87.607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.7925, kappa: 0.5808, kb_relative_information_score: 287.6058, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.7943, predictive_accuracy: 0.792, prior_entropy: 0.9897, recall: 0.792, relative_absolute_error: 0.4221, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.9188, usercpu_time_millis: 2.744, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 2.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6205, f_measure: 0.628, kappa: 0.2429, kb_relative_information_score: 122.216, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6275, predictive_accuracy: 0.63, prior_entropy: 0.9897, recall: 0.63, relative_absolute_error: 0.7508, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.6083, root_relative_squared_error: 1.2254, usercpu_time_millis: 0.329, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6664, f_measure: 0.6704, kappa: 0.332, kb_relative_information_score: 163.053, mean_absolute_error: 0.33, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6709, predictive_accuracy: 0.67, prior_entropy: 0.9897, recall: 0.67, relative_absolute_error: 0.6696, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.5745, root_relative_squared_error: 1.1573, usercpu_time_millis: 1.622, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.8958, kappa: 0.7883, kb_relative_information_score: 393.782, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8959, predictive_accuracy: 0.896, prior_entropy: 0.9897, recall: 0.896, relative_absolute_error: 0.211, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6497, usercpu_time_millis: 27.323, usercpu_time_millis_testing: 2.929, usercpu_time_millis_training: 24.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7435, f_measure: 0.7504, kappa: 0.4918, kb_relative_information_score: 246.7688, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.7512, predictive_accuracy: 0.752, prior_entropy: 0.9897, recall: 0.752, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0032, usercpu_time_millis: 4.156, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 3.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8263, kappa: 0.6481, kb_relative_information_score: 277.872, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8268, predictive_accuracy: 0.826, prior_entropy: 0.9897, recall: 0.826, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7312, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8539, kappa: 0.7033, kb_relative_information_score: 243.5339, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8538, predictive_accuracy: 0.854, prior_entropy: 0.9897, recall: 0.854, relative_absolute_error: 0.5522, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.6936, scimark_benchmark: 972.587, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8603, kappa: 0.7173, kb_relative_information_score: 303.8707, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8613, predictive_accuracy: 0.86, prior_entropy: 0.9897, recall: 0.86, relative_absolute_error: 0.4169, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.6498, scimark_benchmark: 851.2074, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8201, kappa: 0.6351, kb_relative_information_score: 278.8548, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8202, predictive_accuracy: 0.82, prior_entropy: 0.9897, recall: 0.82, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7109, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.8681, kappa: 0.7327, kb_relative_information_score: 288.4398, mean_absolute_error: 0.2251, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8684, predictive_accuracy: 0.868, prior_entropy: 0.9897, recall: 0.868, relative_absolute_error: 0.4568, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.313, root_relative_squared_error: 0.6306, scimark_benchmark: 941.6675, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.6537, kappa: 0.2951, kb_relative_information_score: 103.2404, mean_absolute_error: 0.3981, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6536, predictive_accuracy: 0.656, prior_entropy: 0.9897, recall: 0.656, relative_absolute_error: 0.8079, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9553, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8201, kappa: 0.6351, kb_relative_information_score: 278.8548, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8202, predictive_accuracy: 0.82, prior_entropy: 0.9897, recall: 0.82, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7109, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.8338, kappa: 0.6623, kb_relative_information_score: 301.5254, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8337, predictive_accuracy: 0.834, prior_entropy: 0.9897, recall: 0.834, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.364, root_relative_squared_error: 0.7333, scimark_benchmark: 931.771, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.6684, kappa: 0.325, kb_relative_information_score: 167.1367, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6721, predictive_accuracy: 0.674, prior_entropy: 0.9897, recall: 0.674, relative_absolute_error: 0.6615, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.571, root_relative_squared_error: 1.1502, scimark_benchmark: 941.3847, usercpu_time_millis: 170, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8201, kappa: 0.6351, kb_relative_information_score: 278.8548, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8202, predictive_accuracy: 0.82, prior_entropy: 0.9897, recall: 0.82, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7109, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8201, kappa: 0.6351, kb_relative_information_score: 278.8548, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8202, predictive_accuracy: 0.82, prior_entropy: 0.9897, recall: 0.82, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7109, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8201, kappa: 0.6351, kb_relative_information_score: 278.8548, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8202, predictive_accuracy: 0.82, prior_entropy: 0.9897, recall: 0.82, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7109, scimark_benchmark: 947.1781, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8922, f_measure: 0.8338, kappa: 0.6623, kb_relative_information_score: 301.5254, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8337, predictive_accuracy: 0.834, prior_entropy: 0.9897, recall: 0.834, relative_absolute_error: 0.4111, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.364, root_relative_squared_error: 0.7333, scimark_benchmark: 936.3373, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8615, kappa: 0.7182, kb_relative_information_score: 231.2526, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8621, predictive_accuracy: 0.862, prior_entropy: 0.9897, recall: 0.862, relative_absolute_error: 0.5847, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3383, root_relative_squared_error: 0.6815, scimark_benchmark: 974.2014, usercpu_time_millis: 270, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8263, kappa: 0.6481, kb_relative_information_score: 277.872, mean_absolute_error: 0.2304, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8268, predictive_accuracy: 0.826, prior_entropy: 0.9897, recall: 0.826, relative_absolute_error: 0.4676, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.363, root_relative_squared_error: 0.7312, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.8539, kappa: 0.7033, kb_relative_information_score: 243.5339, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8538, predictive_accuracy: 0.854, prior_entropy: 0.9897, recall: 0.854, relative_absolute_error: 0.5522, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3443, root_relative_squared_error: 0.6936, scimark_benchmark: 901.6243, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8603, kappa: 0.7173, kb_relative_information_score: 303.8707, mean_absolute_error: 0.2055, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8613, predictive_accuracy: 0.86, prior_entropy: 0.9897, recall: 0.86, relative_absolute_error: 0.4169, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.6498, scimark_benchmark: 944.0133, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.6684, kappa: 0.325, kb_relative_information_score: 167.1367, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.6721, predictive_accuracy: 0.674, prior_entropy: 0.9897, recall: 0.674, relative_absolute_error: 0.6615, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.571, root_relative_squared_error: 1.1502, scimark_benchmark: 937.5683, usercpu_time_millis: 150, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8201, kappa: 0.6351, kb_relative_information_score: 278.8548, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8202, predictive_accuracy: 0.82, prior_entropy: 0.9897, recall: 0.82, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7109, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9021, f_measure: 0.8201, kappa: 0.6351, kb_relative_information_score: 278.8548, mean_absolute_error: 0.2264, mean_prior_absolute_error: 0.4928, number_of_instances: 500, precision: 0.8202, predictive_accuracy: 0.82, prior_entropy: 0.9897, recall: 0.82, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.4964, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7109, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

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