Task
Supervised Classification on sleuth_ex2015

Supervised Classification on sleuth_ex2015

Task 4281 Supervised Classification sleuth_ex2015 230 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

230 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.72, kappa: 0.44, kb_relative_information_score: 0.1914, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.5, weighted_recall: 0.72, number_of_instances: 600, precision: 0.7202, predictive_accuracy: 0.72, prior_entropy: 1, relative_absolute_error: 0.8406, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9687, scimark_benchmark: 931.1106, unweighted_recall: 0.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7798, f_measure: 0.7016, kappa: 0.4033, kb_relative_information_score: 0.3295, mean_absolute_error: 0.3418, mean_prior_absolute_error: 0.5, weighted_recall: 0.7017, number_of_instances: 600, precision: 0.7018, predictive_accuracy: 0.7017, prior_entropy: 1, relative_absolute_error: 0.6837, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4558, root_relative_squared_error: 0.9116, scimark_benchmark: 979.7764, unweighted_recall: 0.7017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6509, f_measure: 0.6599, kappa: 0.32, kb_relative_information_score: 123.0262, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6602, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8176, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0039, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6217, f_measure: 0.6216, kappa: 0.2433, kb_relative_information_score: 146, mean_absolute_error: 0.3783, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6217, predictive_accuracy: 0.6217, prior_entropy: 1, recall: 0.6217, relative_absolute_error: 0.7567, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6151, root_relative_squared_error: 1.2302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6287, f_measure: 0.6178, kappa: 0.2367, kb_relative_information_score: 96.3657, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.619, predictive_accuracy: 0.6183, prior_entropy: 1, recall: 0.6183, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0394, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5601, f_measure: 0.5214, kappa: 0.0433, kb_relative_information_score: 36.7283, mean_absolute_error: 0.4688, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.5217, predictive_accuracy: 0.5217, prior_entropy: 1, recall: 0.5217, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6155, root_relative_squared_error: 1.231, scimark_benchmark: 934.3687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6217, f_measure: 0.6216, kappa: 0.2433, kb_relative_information_score: 146, mean_absolute_error: 0.3783, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6217, predictive_accuracy: 0.6217, prior_entropy: 1, recall: 0.6217, relative_absolute_error: 0.7567, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6151, root_relative_squared_error: 1.2302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.7049, kappa: 0.41, kb_relative_information_score: 246, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7052, predictive_accuracy: 0.705, prior_entropy: 1, recall: 0.705, relative_absolute_error: 0.59, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5431, root_relative_squared_error: 1.0863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.6831, kappa: 0.37, kb_relative_information_score: 186.3979, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6897, predictive_accuracy: 0.685, prior_entropy: 1, recall: 0.685, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9756, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.6897, kappa: 0.38, kb_relative_information_score: 123.3572, mean_absolute_error: 0.4113, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6907, predictive_accuracy: 0.69, prior_entropy: 1, recall: 0.69, relative_absolute_error: 0.8226, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9371, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.7049, kappa: 0.41, kb_relative_information_score: 246, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7052, predictive_accuracy: 0.705, prior_entropy: 1, recall: 0.705, relative_absolute_error: 0.59, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5431, root_relative_squared_error: 1.0863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.7049, kappa: 0.41, kb_relative_information_score: 246, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7052, predictive_accuracy: 0.705, prior_entropy: 1, recall: 0.705, relative_absolute_error: 0.59, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5431, root_relative_squared_error: 1.0863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.7446, kappa: 0.49, kb_relative_information_score: 190.1396, mean_absolute_error: 0.3557, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7464, predictive_accuracy: 0.745, prior_entropy: 1, recall: 0.745, relative_absolute_error: 0.7115, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8561, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.7049, kappa: 0.41, kb_relative_information_score: 246, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7052, predictive_accuracy: 0.705, prior_entropy: 1, recall: 0.705, relative_absolute_error: 0.59, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5431, root_relative_squared_error: 1.0863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.7049, kappa: 0.41, kb_relative_information_score: 246, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7052, predictive_accuracy: 0.705, prior_entropy: 1, recall: 0.705, relative_absolute_error: 0.59, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5431, root_relative_squared_error: 1.0863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.7049, kappa: 0.41, kb_relative_information_score: 246, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7052, predictive_accuracy: 0.705, prior_entropy: 1, recall: 0.705, relative_absolute_error: 0.59, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5431, root_relative_squared_error: 1.0863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.6815, kappa: 0.3633, kb_relative_information_score: 161.623, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6821, predictive_accuracy: 0.6817, prior_entropy: 1, recall: 0.6817, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9848, scimark_benchmark: 927.2917, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.7049, kappa: 0.41, kb_relative_information_score: 246, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7052, predictive_accuracy: 0.705, prior_entropy: 1, recall: 0.705, relative_absolute_error: 0.59, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5431, root_relative_squared_error: 1.0863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4567, f_measure: 0.4411, kappa: -0.0867, kb_relative_information_score: -52, mean_absolute_error: 0.5433, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.4513, predictive_accuracy: 0.4567, prior_entropy: 1, recall: 0.4567, relative_absolute_error: 1.0867, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7371, root_relative_squared_error: 1.4742, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4567, f_measure: 0.4411, kappa: -0.0867, kb_relative_information_score: -52, mean_absolute_error: 0.5433, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.4513, predictive_accuracy: 0.4567, prior_entropy: 1, recall: 0.4567, relative_absolute_error: 1.0867, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7371, root_relative_squared_error: 1.4742, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.6831, kappa: 0.37, kb_relative_information_score: 186.3979, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6897, predictive_accuracy: 0.685, prior_entropy: 1, recall: 0.685, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9756, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.72, kappa: 0.44, kb_relative_information_score: 114.8521, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7202, predictive_accuracy: 0.72, prior_entropy: 1, recall: 0.72, relative_absolute_error: 0.8406, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9687, scimark_benchmark: 937.5117, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6509, f_measure: 0.6599, kappa: 0.32, kb_relative_information_score: 123.0262, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6602, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8176, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0039, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.7049, kappa: 0.41, kb_relative_information_score: 246, mean_absolute_error: 0.295, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7052, predictive_accuracy: 0.705, prior_entropy: 1, recall: 0.705, relative_absolute_error: 0.59, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5431, root_relative_squared_error: 1.0863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6287, f_measure: 0.6178, kappa: 0.2367, kb_relative_information_score: 96.3657, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.619, predictive_accuracy: 0.6183, prior_entropy: 1, recall: 0.6183, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0394, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5601, f_measure: 0.5214, kappa: 0.0433, kb_relative_information_score: 36.7283, mean_absolute_error: 0.4688, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.5217, predictive_accuracy: 0.5217, prior_entropy: 1, recall: 0.5217, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6155, root_relative_squared_error: 1.231, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4567, f_measure: 0.4411, kappa: -0.0867, kb_relative_information_score: -52, mean_absolute_error: 0.5433, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.4513, predictive_accuracy: 0.4567, prior_entropy: 1, recall: 0.4567, relative_absolute_error: 1.0867, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7371, root_relative_squared_error: 1.4742, scimark_benchmark: 927.2882, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4567, f_measure: 0.4411, kappa: -0.0867, kb_relative_information_score: -52, mean_absolute_error: 0.5433, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.4513, predictive_accuracy: 0.4567, prior_entropy: 1, recall: 0.4567, relative_absolute_error: 1.0867, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7371, root_relative_squared_error: 1.4742, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.6831, kappa: 0.37, kb_relative_information_score: 186.3979, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6897, predictive_accuracy: 0.685, prior_entropy: 1, recall: 0.685, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9756, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.6897, kappa: 0.38, kb_relative_information_score: 123.3572, mean_absolute_error: 0.4113, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6907, predictive_accuracy: 0.69, prior_entropy: 1, recall: 0.69, relative_absolute_error: 0.8226, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9371, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.7446, kappa: 0.49, kb_relative_information_score: 190.1396, mean_absolute_error: 0.3557, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7464, predictive_accuracy: 0.745, prior_entropy: 1, recall: 0.745, relative_absolute_error: 0.7115, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8561, scimark_benchmark: 905.2959, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.72, kappa: 0.44, kb_relative_information_score: 114.8521, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7202, predictive_accuracy: 0.72, prior_entropy: 1, recall: 0.72, relative_absolute_error: 0.8406, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9687, scimark_benchmark: 936.3213, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7438, f_measure: 0.7831, kappa: 0.5667, kb_relative_information_score: 165.9221, mean_absolute_error: 0.3821, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7844, predictive_accuracy: 0.7833, prior_entropy: 1, recall: 0.7833, relative_absolute_error: 0.7641, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4457, root_relative_squared_error: 0.8913, scimark_benchmark: 904.5548, usercpu_time_millis: 380, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.742, f_measure: 0.7681, kappa: 0.5367, kb_relative_information_score: 164.029, mean_absolute_error: 0.3829, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7694, predictive_accuracy: 0.7683, prior_entropy: 1, recall: 0.7683, relative_absolute_error: 0.7659, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4473, root_relative_squared_error: 0.8947, scimark_benchmark: 933.4823, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7381, f_measure: 0.7682, kappa: 0.5367, kb_relative_information_score: 162.558, mean_absolute_error: 0.3841, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7688, predictive_accuracy: 0.7683, prior_entropy: 1, recall: 0.7683, relative_absolute_error: 0.7681, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4505, root_relative_squared_error: 0.9009, scimark_benchmark: 938.8535, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, f_measure: 0.735, kappa: 0.47, kb_relative_information_score: 156.0213, mean_absolute_error: 0.3876, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.735, predictive_accuracy: 0.735, prior_entropy: 1, recall: 0.735, relative_absolute_error: 0.7751, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9098, scimark_benchmark: 917.2109, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7294, f_measure: 0.7198, kappa: 0.44, kb_relative_information_score: 159.2656, mean_absolute_error: 0.3835, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7206, predictive_accuracy: 0.72, prior_entropy: 1, recall: 0.72, relative_absolute_error: 0.767, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.459, root_relative_squared_error: 0.9179, scimark_benchmark: 930.0399, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.647, kappa: 0.2967, kb_relative_information_score: 142.4602, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6506, predictive_accuracy: 0.6483, prior_entropy: 1, recall: 0.6483, relative_absolute_error: 0.773, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5149, root_relative_squared_error: 1.0299, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.647, kappa: 0.2967, kb_relative_information_score: 142.4602, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6506, predictive_accuracy: 0.6483, prior_entropy: 1, recall: 0.6483, relative_absolute_error: 0.773, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5149, root_relative_squared_error: 1.0299, scimark_benchmark: 889.4922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.647, kappa: 0.2967, kb_relative_information_score: 142.4602, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6506, predictive_accuracy: 0.6483, prior_entropy: 1, recall: 0.6483, relative_absolute_error: 0.773, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5149, root_relative_squared_error: 1.0299, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.647, kappa: 0.2967, kb_relative_information_score: 142.4602, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6506, predictive_accuracy: 0.6483, prior_entropy: 1, recall: 0.6483, relative_absolute_error: 0.773, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5149, root_relative_squared_error: 1.0299, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6751, f_measure: 0.6471, kappa: 0.2967, kb_relative_information_score: 142.318, mean_absolute_error: 0.3866, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6504, predictive_accuracy: 0.6483, prior_entropy: 1, recall: 0.6483, relative_absolute_error: 0.7732, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5141, root_relative_squared_error: 1.0283, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.6765, kappa: 0.3533, kb_relative_information_score: 210.0985, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6771, predictive_accuracy: 0.6767, prior_entropy: 1, recall: 0.6767, relative_absolute_error: 0.6504, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5443, root_relative_squared_error: 1.0886, scimark_benchmark: 938.3115, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7146, f_measure: 0.6731, kappa: 0.3467, kb_relative_information_score: 212.9292, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6738, predictive_accuracy: 0.6733, prior_entropy: 1, recall: 0.6733, relative_absolute_error: 0.6453, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5381, root_relative_squared_error: 1.0762, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.704, f_measure: 0.6684, kappa: 0.34, kb_relative_information_score: 200.1952, mean_absolute_error: 0.3341, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6734, predictive_accuracy: 0.67, prior_entropy: 1, recall: 0.67, relative_absolute_error: 0.6683, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.539, root_relative_squared_error: 1.078, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, f_measure: 0.6617, kappa: 0.3267, kb_relative_information_score: 190.0759, mean_absolute_error: 0.3426, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6666, predictive_accuracy: 0.6633, prior_entropy: 1, recall: 0.6633, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5431, root_relative_squared_error: 1.0862, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.6537, kappa: 0.3133, kb_relative_information_score: 178.7178, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6623, predictive_accuracy: 0.6567, prior_entropy: 1, recall: 0.6567, relative_absolute_error: 0.7057, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5516, root_relative_squared_error: 1.1032, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6044, f_measure: 0.5894, kappa: 0.18, kb_relative_information_score: 86.331, mean_absolute_error: 0.4321, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.5905, predictive_accuracy: 0.59, prior_entropy: 1, recall: 0.59, relative_absolute_error: 0.8642, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5551, root_relative_squared_error: 1.1103, scimark_benchmark: 922.8232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6938, f_measure: 0.6688, kappa: 0.34, kb_relative_information_score: 51.8345, mean_absolute_error: 0.4668, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6725, predictive_accuracy: 0.67, prior_entropy: 1, recall: 0.67, relative_absolute_error: 0.9337, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4803, root_relative_squared_error: 0.9606, scimark_benchmark: 894.7131, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.6879, kappa: 0.3767, kb_relative_information_score: 125.6766, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6894, predictive_accuracy: 0.6883, prior_entropy: 1, recall: 0.6883, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9393, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6509, f_measure: 0.6599, kappa: 0.32, kb_relative_information_score: 123.0262, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6602, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8176, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0039, scimark_benchmark: 934.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6287, f_measure: 0.6194, kappa: 0.24, kb_relative_information_score: 96.5413, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6208, predictive_accuracy: 0.62, prior_entropy: 1, recall: 0.62, relative_absolute_error: 0.8556, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5195, root_relative_squared_error: 1.0391, scimark_benchmark: 933.0918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5601, f_measure: 0.5214, kappa: 0.0433, kb_relative_information_score: 36.7283, mean_absolute_error: 0.4688, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.5217, predictive_accuracy: 0.5217, prior_entropy: 1, recall: 0.5217, relative_absolute_error: 0.9375, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6155, root_relative_squared_error: 1.231, scimark_benchmark: 938.9926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4567, f_measure: 0.4411, kappa: -0.0867, kb_relative_information_score: -52, mean_absolute_error: 0.5433, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.4513, predictive_accuracy: 0.4567, prior_entropy: 1, recall: 0.4567, relative_absolute_error: 1.0867, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7371, root_relative_squared_error: 1.4742, scimark_benchmark: 945.988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4567, f_measure: 0.4411, kappa: -0.0867, kb_relative_information_score: -52, mean_absolute_error: 0.5433, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.4513, predictive_accuracy: 0.4567, prior_entropy: 1, recall: 0.4567, relative_absolute_error: 1.0867, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7371, root_relative_squared_error: 1.4742, scimark_benchmark: 945.988, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.6831, kappa: 0.37, kb_relative_information_score: 186.3979, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6897, predictive_accuracy: 0.685, prior_entropy: 1, recall: 0.685, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9756, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.6897, kappa: 0.38, kb_relative_information_score: 123.3572, mean_absolute_error: 0.4113, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6907, predictive_accuracy: 0.69, prior_entropy: 1, recall: 0.69, relative_absolute_error: 0.8226, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4685, root_relative_squared_error: 0.9371, scimark_benchmark: 922.5036, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.7446, kappa: 0.49, kb_relative_information_score: 190.1396, mean_absolute_error: 0.3557, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7464, predictive_accuracy: 0.745, prior_entropy: 1, recall: 0.745, relative_absolute_error: 0.7115, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8561, scimark_benchmark: 942.8346, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 952.4682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.6815, kappa: 0.3633, kb_relative_information_score: 161.623, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6821, predictive_accuracy: 0.6817, prior_entropy: 1, recall: 0.6817, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4924, root_relative_squared_error: 0.9848, scimark_benchmark: 935.627, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.72, kappa: 0.44, kb_relative_information_score: 114.8521, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7202, predictive_accuracy: 0.72, prior_entropy: 1, recall: 0.72, relative_absolute_error: 0.8406, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9687, scimark_benchmark: 946.9304, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6509, f_measure: 0.6599, kappa: 0.32, kb_relative_information_score: 123.0262, mean_absolute_error: 0.4088, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6602, predictive_accuracy: 0.66, prior_entropy: 1, recall: 0.66, relative_absolute_error: 0.8176, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0039, scimark_benchmark: 915.9028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4567, f_measure: 0.4411, kappa: -0.0867, kb_relative_information_score: -52, mean_absolute_error: 0.5433, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.4513, predictive_accuracy: 0.4567, prior_entropy: 1, recall: 0.4567, relative_absolute_error: 1.0867, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7371, root_relative_squared_error: 1.4742, scimark_benchmark: 1331.4944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4567, f_measure: 0.4411, kappa: -0.0867, kb_relative_information_score: -52, mean_absolute_error: 0.5433, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.4513, predictive_accuracy: 0.4567, prior_entropy: 1, recall: 0.4567, relative_absolute_error: 1.0867, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7371, root_relative_squared_error: 1.4742, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 1353.0836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6287, f_measure: 0.6178, kappa: 0.2367, kb_relative_information_score: 96.3657, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.619, predictive_accuracy: 0.6183, prior_entropy: 1, recall: 0.6183, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0394, scimark_benchmark: 1357.1971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.6831, kappa: 0.37, kb_relative_information_score: 186.3979, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6897, predictive_accuracy: 0.685, prior_entropy: 1, recall: 0.685, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9756, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6287, f_measure: 0.6178, kappa: 0.2367, kb_relative_information_score: 96.3657, mean_absolute_error: 0.4278, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.619, predictive_accuracy: 0.6183, prior_entropy: 1, recall: 0.6183, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.0394, scimark_benchmark: 1360.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.6831, kappa: 0.37, kb_relative_information_score: 186.3979, mean_absolute_error: 0.3529, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.6897, predictive_accuracy: 0.685, prior_entropy: 1, recall: 0.685, relative_absolute_error: 0.7058, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4878, root_relative_squared_error: 0.9756, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4567, f_measure: 0.4411, kappa: -0.0867, kb_relative_information_score: -52, mean_absolute_error: 0.5433, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.4513, predictive_accuracy: 0.4567, prior_entropy: 1, recall: 0.4567, relative_absolute_error: 1.0867, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7371, root_relative_squared_error: 1.4742, scimark_benchmark: 1310.3168, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 1366.7181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 1366.7181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.7446, kappa: 0.49, kb_relative_information_score: 190.1396, mean_absolute_error: 0.3557, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7464, predictive_accuracy: 0.745, prior_entropy: 1, recall: 0.745, relative_absolute_error: 0.7115, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8561, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.72, kappa: 0.44, kb_relative_information_score: 114.8521, mean_absolute_error: 0.4203, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7202, predictive_accuracy: 0.72, prior_entropy: 1, recall: 0.72, relative_absolute_error: 0.8406, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4843, root_relative_squared_error: 0.9687, scimark_benchmark: 1324.6442, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4567, f_measure: 0.4411, kappa: -0.0867, kb_relative_information_score: -52, mean_absolute_error: 0.5433, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.4513, predictive_accuracy: 0.4567, prior_entropy: 1, recall: 0.4567, relative_absolute_error: 1.0867, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7371, root_relative_squared_error: 1.4742, scimark_benchmark: 1331.2559, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4567, f_measure: 0.4411, kappa: -0.0867, kb_relative_information_score: -52, mean_absolute_error: 0.5433, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.4513, predictive_accuracy: 0.4567, prior_entropy: 1, recall: 0.4567, relative_absolute_error: 1.0867, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7371, root_relative_squared_error: 1.4742, scimark_benchmark: 1317.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.7446, kappa: 0.49, kb_relative_information_score: 190.1396, mean_absolute_error: 0.3557, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7464, predictive_accuracy: 0.745, prior_entropy: 1, recall: 0.745, relative_absolute_error: 0.7115, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8561, scimark_benchmark: 1319.952, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.6976, kappa: 0.3967, kb_relative_information_score: 175.9148, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.5, number_of_instances: 600, precision: 0.7002, predictive_accuracy: 0.6983, prior_entropy: 1, recall: 0.6983, relative_absolute_error: 0.7275, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4794, root_relative_squared_error: 0.9588, scimark_benchmark: 1393.8432,

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