Task
Supervised Classification on fri_c4_100_100

Supervised Classification on fri_c4_100_100

Task 3693 Supervised Classification fri_c4_100_100 536 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

536 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7676, f_measure: 0.7561, kappa: 0.5274, kb_relative_information_score: 40.361, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7935, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.6184, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, f_measure: 0.5889, kappa: 0.1741, kb_relative_information_score: 15.1432, mean_absolute_error: 0.4261, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5888, predictive_accuracy: 0.59, prior_entropy: 0.9975, recall: 0.59, relative_absolute_error: 0.8552, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5206, root_relative_squared_error: 1.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6285, f_measure: 0.6359, kappa: 0.2704, kb_relative_information_score: 23.5144, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6401, predictive_accuracy: 0.64, prior_entropy: 0.9975, recall: 0.64, relative_absolute_error: 0.7759, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.557, root_relative_squared_error: 1.1161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.7796, kappa: 0.5626, kb_relative_information_score: 39.1934, mean_absolute_error: 0.3173, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7894, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.6369, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3987, root_relative_squared_error: 0.7989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.672, f_measure: 0.6249, kappa: 0.2492, kb_relative_information_score: 20.4643, mean_absolute_error: 0.3982, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6302, predictive_accuracy: 0.63, prior_entropy: 0.9975, recall: 0.63, relative_absolute_error: 0.7991, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.0936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5052, f_measure: 0.4896, kappa: -0.0249, kb_relative_information_score: -0.1766, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.4894, predictive_accuracy: 0.49, prior_entropy: 0.9975, recall: 0.49, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5367, root_relative_squared_error: 1.0754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7995, f_measure: 0.6787, kappa: 0.3546, kb_relative_information_score: 38.9696, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6796, predictive_accuracy: 0.68, prior_entropy: 0.9975, recall: 0.68, relative_absolute_error: 0.6048, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5256, root_relative_squared_error: 1.0531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5967, f_measure: 0.5582, kappa: 0.1125, kb_relative_information_score: 13.058, mean_absolute_error: 0.4317, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5582, predictive_accuracy: 0.56, prior_entropy: 0.9975, recall: 0.56, relative_absolute_error: 0.8666, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6437, root_relative_squared_error: 1.2898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.7301, kappa: 0.4587, kb_relative_information_score: 45.0517, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7304, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5556, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.832, f_measure: 0.7694, kappa: 0.5367, kb_relative_information_score: 54.8408, mean_absolute_error: 0.2259, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7701, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.4534, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.8638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.7701, kappa: 0.5411, kb_relative_information_score: 40.4931, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7741, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.6218, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.5102, kappa: 0.0176, kb_relative_information_score: -0.2264, mean_absolute_error: 0.4994, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5106, predictive_accuracy: 0.51, prior_entropy: 0.9975, recall: 0.51, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5371, root_relative_squared_error: 1.0762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.7701, kappa: 0.5411, kb_relative_information_score: 40.4931, mean_absolute_error: 0.3098, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7741, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.6218, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.552, f_measure: 0.5843, kappa: 0.168, kb_relative_information_score: 6.2902, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5884, predictive_accuracy: 0.59, prior_entropy: 0.9975, recall: 0.59, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.568, root_relative_squared_error: 1.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7553, f_measure: 0.759, kappa: 0.524, kb_relative_information_score: 35.5801, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7735, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.6689, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.8766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.7694, kappa: 0.5433, kb_relative_information_score: 27.0612, mean_absolute_error: 0.3843, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7814, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.8199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4578, f_measure: 0.3672, kb_relative_information_score: -0.1403, mean_absolute_error: 0.4987, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4996, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7935, f_measure: 0.7293, kappa: 0.4561, kb_relative_information_score: 31.9958, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7299, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.6998, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4307, root_relative_squared_error: 0.8629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.7796, kappa: 0.5573, kb_relative_information_score: 49.9317, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.512, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.7836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8609, f_measure: 0.7796, kappa: 0.5573, kb_relative_information_score: 49.9317, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7799, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.512, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.7836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7081, f_measure: 0.7493, kappa: 0.4964, kb_relative_information_score: 48.037, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.75, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.5251, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6728, f_measure: 0.6157, kappa: 0.2298, kb_relative_information_score: 20.6358, mean_absolute_error: 0.3971, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6194, predictive_accuracy: 0.62, prior_entropy: 0.9975, recall: 0.62, relative_absolute_error: 0.797, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.545, root_relative_squared_error: 1.0919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5634, f_measure: 0.5688, kappa: 0.1338, kb_relative_information_score: 13.0029, mean_absolute_error: 0.4329, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5687, predictive_accuracy: 0.57, prior_entropy: 0.9975, recall: 0.57, relative_absolute_error: 0.8688, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6528, root_relative_squared_error: 1.3079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7596, kappa: 0.5171, kb_relative_information_score: 39.7189, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7598, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.6265, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4157, root_relative_squared_error: 0.8329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7403, f_measure: 0.7402, kappa: 0.4794, kb_relative_information_score: 47.7294, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.741, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.5218, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7615, f_measure: 0.7602, kappa: 0.5206, kb_relative_information_score: 51.7495, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7628, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6359, f_measure: 0.5676, kappa: 0.1317, kb_relative_information_score: 15.2471, mean_absolute_error: 0.4255, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5681, predictive_accuracy: 0.57, prior_entropy: 0.9975, recall: 0.57, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5201, root_relative_squared_error: 1.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.774, f_measure: 0.6772, kappa: 0.3648, kb_relative_information_score: 12.0654, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7086, predictive_accuracy: 0.69, prior_entropy: 0.9975, recall: 0.69, relative_absolute_error: 0.9046, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7615, f_measure: 0.7602, kappa: 0.5206, kb_relative_information_score: 51.7495, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7628, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.4817, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4899, root_relative_squared_error: 0.9816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7081, f_measure: 0.7493, kappa: 0.4964, kb_relative_information_score: 48.037, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.75, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.5251, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6644, f_measure: 0.6089, kappa: 0.2143, kb_relative_information_score: 21.9721, mean_absolute_error: 0.3899, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.609, predictive_accuracy: 0.61, prior_entropy: 0.9975, recall: 0.61, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.562, root_relative_squared_error: 1.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6728, f_measure: 0.6157, kappa: 0.2298, kb_relative_information_score: 20.6358, mean_absolute_error: 0.3971, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6194, predictive_accuracy: 0.62, prior_entropy: 0.9975, recall: 0.62, relative_absolute_error: 0.797, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.545, root_relative_squared_error: 1.0919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5925, f_measure: 0.5114, kappa: 0.0687, kb_relative_information_score: 1.8128, mean_absolute_error: 0.4914, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5485, predictive_accuracy: 0.55, prior_entropy: 0.9975, recall: 0.55, relative_absolute_error: 0.9862, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4952, root_relative_squared_error: 0.9923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6164, f_measure: 0.6147, kappa: 0.2418, kb_relative_information_score: 7.3941, mean_absolute_error: 0.467, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6389, predictive_accuracy: 0.63, prior_entropy: 0.9975, recall: 0.63, relative_absolute_error: 0.9373, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4928, root_relative_squared_error: 0.9875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.7498, kappa: 0.4976, kb_relative_information_score: 49.7395, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7498, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5558, f_measure: 0.5437, kappa: 0.1145, kb_relative_information_score: 13.5591, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.572, predictive_accuracy: 0.57, prior_entropy: 0.9975, recall: 0.57, relative_absolute_error: 0.863, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3139, scimark_benchmark: 1959.6455, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, f_measure: 0.5783, kappa: 0.1529, kb_relative_information_score: 15.5691, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5785, predictive_accuracy: 0.58, prior_entropy: 0.9975, recall: 0.58, relative_absolute_error: 0.843, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.2985, scimark_benchmark: 1959.6455, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3672, kb_relative_information_score: 5.519, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6856, root_relative_squared_error: 1.3736, scimark_benchmark: 1631.1992, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, f_measure: 0.5783, kappa: 0.1529, kb_relative_information_score: 15.5691, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5785, predictive_accuracy: 0.58, prior_entropy: 0.9975, recall: 0.58, relative_absolute_error: 0.843, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.2985, scimark_benchmark: 1347.0082, usercpu_time_millis: 60, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5558, f_measure: 0.5437, kappa: 0.1145, kb_relative_information_score: 13.5591, mean_absolute_error: 0.43, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.572, predictive_accuracy: 0.57, prior_entropy: 0.9975, recall: 0.57, relative_absolute_error: 0.863, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6557, root_relative_squared_error: 1.3139, scimark_benchmark: 1373.3713, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3672, kb_relative_information_score: 5.519, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.2809, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6856, root_relative_squared_error: 1.3736, scimark_benchmark: 1605.7606, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5151, f_measure: 0.4896, kappa: -0.0151, kb_relative_information_score: -0.1927, mean_absolute_error: 0.4973, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.4941, predictive_accuracy: 0.49, prior_entropy: 0.9975, recall: 0.49, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6683, root_relative_squared_error: 1.3389, scimark_benchmark: 1908.2191, usercpu_time_millis: 1484.375, usercpu_time_millis_training: 1484.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5837, f_measure: 0.5475, kappa: 0.0913, kb_relative_information_score: 7.2045, mean_absolute_error: 0.4613, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5477, predictive_accuracy: 0.55, prior_entropy: 0.9975, recall: 0.55, relative_absolute_error: 0.9258, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6389, root_relative_squared_error: 1.2801, scimark_benchmark: 1908.2191, usercpu_time_millis: 1859.375, usercpu_time_millis_training: 1859.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5548, f_measure: 0.5568, kappa: 0.1104, kb_relative_information_score: 11.5491, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5576, predictive_accuracy: 0.56, prior_entropy: 0.9975, recall: 0.56, relative_absolute_error: 0.8831, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6633, root_relative_squared_error: 1.329, scimark_benchmark: 1827.4462, 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: 0.5765, f_measure: 0.5055, kappa: 0.0081, kb_relative_information_score: 3.0708, mean_absolute_error: 0.4808, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5059, predictive_accuracy: 0.51, prior_entropy: 0.9975, recall: 0.51, relative_absolute_error: 0.9651, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6608, root_relative_squared_error: 1.324, scimark_benchmark: 1409.4971, usercpu_time_millis: 5060, usercpu_time_millis_training: 5060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5811, f_measure: 0.5458, kappa: 0.0891, kb_relative_information_score: 6.9892, mean_absolute_error: 0.4621, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5471, predictive_accuracy: 0.55, prior_entropy: 0.9975, recall: 0.55, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6308, root_relative_squared_error: 1.2638, scimark_benchmark: 1760.5198, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6728, f_measure: 0.6157, kappa: 0.2298, kb_relative_information_score: 20.6358, mean_absolute_error: 0.3971, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6194, predictive_accuracy: 0.62, prior_entropy: 0.9975, recall: 0.62, relative_absolute_error: 0.797, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.545, root_relative_squared_error: 1.0919, scimark_benchmark: 1491.9108, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5283, f_measure: 0.5204, kappa: 0.0412, kb_relative_information_score: 2.1097, mean_absolute_error: 0.4877, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5224, predictive_accuracy: 0.52, prior_entropy: 0.9975, recall: 0.52, relative_absolute_error: 0.9788, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6492, root_relative_squared_error: 1.3007, scimark_benchmark: 1282.9844, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, f_measure: 0.5783, kappa: 0.1529, kb_relative_information_score: 15.5691, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5785, predictive_accuracy: 0.58, prior_entropy: 0.9975, recall: 0.58, relative_absolute_error: 0.843, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.2985, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5241, f_measure: 0.5256, kappa: 0.0486, kb_relative_information_score: 5.519, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5265, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6856, root_relative_squared_error: 1.3736, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.4903, kappa: -0.0225, kb_relative_information_score: -3.575, mean_absolute_error: 0.5156, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.4906, predictive_accuracy: 0.49, prior_entropy: 0.9975, recall: 0.49, relative_absolute_error: 1.0349, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.7133, root_relative_squared_error: 1.4291, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4769, f_measure: 0.4792, kappa: -0.0463, kb_relative_information_score: -4.4679, mean_absolute_error: 0.5196, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.4787, predictive_accuracy: 0.48, prior_entropy: 0.9975, recall: 0.48, relative_absolute_error: 1.0428, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.7133, root_relative_squared_error: 1.4292, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7402, kappa: 0.4794, kb_relative_information_score: 47.5899, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.741, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.5237, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9498, 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: 0.8015, f_measure: 0.7986, kappa: 0.6043, kb_relative_information_score: 44.4645, mean_absolute_error: 0.2917, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8208, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.5855, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.772, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, f_measure: 0.7802, kappa: 0.5595, kb_relative_information_score: 40.9221, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.781, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.6228, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8521, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8105, f_measure: 0.6933, kappa: 0.389, kb_relative_information_score: 13.7905, mean_absolute_error: 0.4439, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7079, predictive_accuracy: 0.7, prior_entropy: 0.9975, recall: 0.7, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9084, 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: 0.672, f_measure: 0.6249, kappa: 0.2492, kb_relative_information_score: 20.4643, mean_absolute_error: 0.3982, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6302, predictive_accuracy: 0.63, prior_entropy: 0.9975, recall: 0.63, relative_absolute_error: 0.7991, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.0936, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6839, f_measure: 0.7168, kappa: 0.4325, kb_relative_information_score: 42.3194, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7231, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.52, root_relative_squared_error: 1.0418, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6728, f_measure: 0.6157, kappa: 0.2298, kb_relative_information_score: 20.6358, mean_absolute_error: 0.3971, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6194, predictive_accuracy: 0.62, prior_entropy: 0.9975, recall: 0.62, relative_absolute_error: 0.797, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.545, root_relative_squared_error: 1.0919, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, f_measure: 0.5783, kappa: 0.1529, kb_relative_information_score: 15.5691, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5785, predictive_accuracy: 0.58, prior_entropy: 0.9975, recall: 0.58, relative_absolute_error: 0.843, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.2985, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5241, f_measure: 0.5256, kappa: 0.0486, kb_relative_information_score: 5.519, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5265, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6856, root_relative_squared_error: 1.3736, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5267, f_measure: 0.5204, kappa: 0.0412, kb_relative_information_score: 2.0022, mean_absolute_error: 0.4881, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5224, predictive_accuracy: 0.52, prior_entropy: 0.9975, recall: 0.52, relative_absolute_error: 0.9798, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6495, root_relative_squared_error: 1.3014, scimark_benchmark: 1744.8652, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.4903, kappa: -0.0225, kb_relative_information_score: -3.575, mean_absolute_error: 0.5156, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.4906, predictive_accuracy: 0.49, prior_entropy: 0.9975, recall: 0.49, relative_absolute_error: 1.0349, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.7133, root_relative_squared_error: 1.4291, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4769, f_measure: 0.4792, kappa: -0.0463, kb_relative_information_score: -4.4679, mean_absolute_error: 0.5196, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.4787, predictive_accuracy: 0.48, prior_entropy: 0.9975, recall: 0.48, relative_absolute_error: 1.0428, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.7133, root_relative_squared_error: 1.4292, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7402, kappa: 0.4794, kb_relative_information_score: 47.5899, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.741, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.5237, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9498, scimark_benchmark: 1744.8652, usercpu_time_millis: 218.75, usercpu_time_millis_training: 218.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8087, f_measure: 0.7992, kappa: 0.6033, kb_relative_information_score: 44.8428, mean_absolute_error: 0.2894, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.8147, predictive_accuracy: 0.8, prior_entropy: 0.9975, recall: 0.8, relative_absolute_error: 0.5809, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.7702, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, f_measure: 0.7802, kappa: 0.5595, kb_relative_information_score: 40.9221, mean_absolute_error: 0.3103, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.781, predictive_accuracy: 0.78, prior_entropy: 0.9975, recall: 0.78, relative_absolute_error: 0.6228, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4253, root_relative_squared_error: 0.8521, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.684, kappa: 0.3694, kb_relative_information_score: 13.2412, mean_absolute_error: 0.4459, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6955, predictive_accuracy: 0.69, prior_entropy: 0.9975, recall: 0.69, relative_absolute_error: 0.895, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9125, 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: 0.672, f_measure: 0.6249, kappa: 0.2492, kb_relative_information_score: 20.4643, mean_absolute_error: 0.3982, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6302, predictive_accuracy: 0.63, prior_entropy: 0.9975, recall: 0.63, relative_absolute_error: 0.7991, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5458, root_relative_squared_error: 1.0936, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6839, f_measure: 0.7168, kappa: 0.4325, kb_relative_information_score: 42.3194, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7231, predictive_accuracy: 0.72, prior_entropy: 0.9975, recall: 0.72, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.52, root_relative_squared_error: 1.0418, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.4903, kappa: -0.0225, kb_relative_information_score: -3.575, mean_absolute_error: 0.5156, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.4906, predictive_accuracy: 0.49, prior_entropy: 0.9975, recall: 0.49, relative_absolute_error: 1.0349, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.7133, root_relative_squared_error: 1.4291, scimark_benchmark: 1327.5254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7676, f_measure: 0.7561, kappa: 0.5274, kb_relative_information_score: 40.361, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7935, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.6184, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8472, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.7402, kappa: 0.4794, kb_relative_information_score: 47.5899, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.741, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.5237, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9498, scimark_benchmark: 1788.6668, usercpu_time_millis: 203.125, usercpu_time_millis_training: 203.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5259, f_measure: 0.5102, kappa: 0.0176, kb_relative_information_score: 1.105, mean_absolute_error: 0.491, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5106, predictive_accuracy: 0.51, prior_entropy: 0.9975, recall: 0.51, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6526, root_relative_squared_error: 1.3075, scimark_benchmark: 1788.6668, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.7402, kappa: 0.4794, kb_relative_information_score: 38.6946, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.741, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.6225, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9184, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7425, f_measure: 0.7583, kappa: 0.5251, kb_relative_information_score: 38.7919, mean_absolute_error: 0.3179, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.779, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.6381, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8609, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7762, f_measure: 0.7561, kappa: 0.5274, kb_relative_information_score: 39.7771, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7935, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.6271, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8262, scimark_benchmark: 1788.6668, usercpu_time_millis: 31.25, usercpu_time_millis_training: 31.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.7301, kappa: 0.4587, kb_relative_information_score: 31.9642, mean_absolute_error: 0.3538, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7304, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.7101, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4285, root_relative_squared_error: 0.8586, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7509, f_measure: 0.7502, kappa: 0.5, kb_relative_information_score: 49.7395, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7518, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0018, scimark_benchmark: 1788.6668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5761, f_measure: 0.5783, kappa: 0.1529, kb_relative_information_score: 15.5691, mean_absolute_error: 0.42, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5785, predictive_accuracy: 0.58, prior_entropy: 0.9975, recall: 0.58, relative_absolute_error: 0.843, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6481, root_relative_squared_error: 1.2985, scimark_benchmark: 933.7847, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.4903, kappa: -0.0225, kb_relative_information_score: -3.575, mean_absolute_error: 0.5156, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.4906, predictive_accuracy: 0.49, prior_entropy: 0.9975, recall: 0.49, relative_absolute_error: 1.0349, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.7133, root_relative_squared_error: 1.4291, scimark_benchmark: 1134.7407, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7676, f_measure: 0.7561, kappa: 0.5274, kb_relative_information_score: 40.361, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7935, predictive_accuracy: 0.76, prior_entropy: 0.9975, recall: 0.76, relative_absolute_error: 0.6184, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8472, scimark_benchmark: 969.5903, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, f_measure: 0.7702, kappa: 0.54, kb_relative_information_score: 40.3436, mean_absolute_error: 0.3094, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7718, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.621, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4006, root_relative_squared_error: 0.8026, scimark_benchmark: 1447.2612, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, f_measure: 0.6115, kappa: 0.2261, kb_relative_information_score: 28.4157, mean_absolute_error: 0.3566, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6216, predictive_accuracy: 0.62, prior_entropy: 0.9975, recall: 0.62, relative_absolute_error: 0.7157, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.534, root_relative_squared_error: 1.0698, 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: 0.4874, f_measure: 0.4683, kappa: 0.0029, kb_relative_information_score: -1.5206, mean_absolute_error: 0.5049, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.504, predictive_accuracy: 0.52, prior_entropy: 0.9975, recall: 0.52, relative_absolute_error: 1.0135, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6082, root_relative_squared_error: 1.2185, 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: 0.6028, f_measure: 0.5777, kappa: 0.1773, kb_relative_information_score: 6.3271, mean_absolute_error: 0.4721, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.6081, predictive_accuracy: 0.6, prior_entropy: 0.9975, recall: 0.6, relative_absolute_error: 0.9475, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4921, root_relative_squared_error: 0.986, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7961, f_measure: 0.7298, kappa: 0.4626, kb_relative_information_score: 37.2889, mean_absolute_error: 0.3188, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7368, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.6399, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4245, root_relative_squared_error: 0.8506, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4857, f_measure: 0.4896, kappa: -0.0249, kb_relative_information_score: -1.4561, mean_absolute_error: 0.504, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.4894, predictive_accuracy: 0.49, prior_entropy: 0.9975, recall: 0.49, relative_absolute_error: 1.0115, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5473, root_relative_squared_error: 1.0966, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.7501, kappa: 0.5012, kb_relative_information_score: 49.7395, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.754, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.8089, kappa: 0.6163, kb_relative_information_score: 61.7996, mean_absolute_error: 0.19, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.812, predictive_accuracy: 0.81, prior_entropy: 0.9975, recall: 0.81, relative_absolute_error: 0.3813, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.8734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7296, f_measure: 0.7301, kappa: 0.4587, kb_relative_information_score: 45.7194, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7304, predictive_accuracy: 0.73, prior_entropy: 0.9975, recall: 0.73, relative_absolute_error: 0.5419, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.4905, kappa: -0.02, kb_relative_information_score: -2.5211, mean_absolute_error: 0.51, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.4918, predictive_accuracy: 0.49, prior_entropy: 0.9975, recall: 0.49, relative_absolute_error: 1.0236, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.7141, root_relative_squared_error: 1.4309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5466, f_measure: 0.5488, kappa: 0.0935, kb_relative_information_score: 9.5391, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5485, predictive_accuracy: 0.55, prior_entropy: 0.9975, recall: 0.55, relative_absolute_error: 0.9032, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6708, root_relative_squared_error: 1.3441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7403, f_measure: 0.7402, kappa: 0.4794, kb_relative_information_score: 47.7294, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.741, predictive_accuracy: 0.74, prior_entropy: 0.9975, recall: 0.74, relative_absolute_error: 0.5218, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0216, scimark_benchmark: 1779.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.7486, kappa: 0.5048, kb_relative_information_score: 49.7395, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7658, predictive_accuracy: 0.75, prior_entropy: 0.9975, recall: 0.75, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5241, f_measure: 0.5256, kappa: 0.0486, kb_relative_information_score: 5.519, mean_absolute_error: 0.47, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.5265, predictive_accuracy: 0.53, prior_entropy: 0.9975, recall: 0.53, relative_absolute_error: 0.9433, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.6856, root_relative_squared_error: 1.3736, 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: 0.7826, f_measure: 0.7694, kappa: 0.5433, kb_relative_information_score: 39.5959, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7814, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.6374, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8156, 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: 0.786, f_measure: 0.7701, kappa: 0.5389, kb_relative_information_score: 41.0126, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.4982, number_of_instances: 100, precision: 0.7704, predictive_accuracy: 0.77, prior_entropy: 0.9975, recall: 0.77, relative_absolute_error: 0.6184, root_mean_prior_squared_error: 0.4991, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8576, scimark_benchmark: 1779.392,

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