Task
Supervised Classification on breast-cancer

Supervised Classification on breast-cancer

Task 1777 Supervised Classification breast-cancer 346 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

346 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.6786, kappa: 0.196, kb_relative_information_score: 125.3673, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6868, predictive_accuracy: 0.7175, prior_entropy: 0.8796, recall: 0.7175, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9952, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.6761, kappa: 0.1971, kb_relative_information_score: -11.3834, mean_absolute_error: 0.4054, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6699, predictive_accuracy: 0.6951, prior_entropy: 0.8796, recall: 0.6951, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0002, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6077, f_measure: 0.6764, kappa: 0.2027, kb_relative_information_score: 121.5582, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6699, predictive_accuracy: 0.6902, prior_entropy: 0.8796, recall: 0.6902, relative_absolute_error: 0.8882, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4791, root_relative_squared_error: 1.0482, scimark_benchmark: 851.2074, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5041, f_measure: 0.5877, kappa: 0.0113, kb_relative_information_score: 337.4243, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6437, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, f_measure: 0.6461, kappa: 0.1153, kb_relative_information_score: 66.801, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6479, predictive_accuracy: 0.6944, prior_entropy: 0.8796, recall: 0.6944, relative_absolute_error: 0.9185, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9898, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6521, f_measure: 0.6644, kappa: 0.1663, kb_relative_information_score: 107.3441, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6574, predictive_accuracy: 0.6867, prior_entropy: 0.8796, recall: 0.6867, relative_absolute_error: 0.886, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9964, scimark_benchmark: 931.771, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5041, f_measure: 0.5877, kappa: 0.0113, kb_relative_information_score: 337.4243, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6437, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 937.5117, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.7164, kappa: 0.3034, kb_relative_information_score: 279.663, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.7123, predictive_accuracy: 0.7266, prior_entropy: 0.8796, recall: 0.7266, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9955, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.6741, kappa: 0.1876, kb_relative_information_score: 288.2189, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6702, predictive_accuracy: 0.7007, prior_entropy: 0.8796, recall: 0.7007, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.48, root_relative_squared_error: 1.0504, scimark_benchmark: 938.5498, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6521, f_measure: 0.6644, kappa: 0.1663, kb_relative_information_score: 107.3441, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6574, predictive_accuracy: 0.6867, prior_entropy: 0.8796, recall: 0.6867, relative_absolute_error: 0.886, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9964, scimark_benchmark: 943.1009, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.6786, kappa: 0.196, kb_relative_information_score: 125.3673, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6868, predictive_accuracy: 0.7175, prior_entropy: 0.8796, recall: 0.7175, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9952, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.6761, kappa: 0.1971, kb_relative_information_score: -11.3834, mean_absolute_error: 0.4054, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6699, predictive_accuracy: 0.6951, prior_entropy: 0.8796, recall: 0.6951, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0002, scimark_benchmark: 935.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6077, f_measure: 0.6764, kappa: 0.2027, kb_relative_information_score: 121.5582, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6699, predictive_accuracy: 0.6902, prior_entropy: 0.8796, recall: 0.6902, relative_absolute_error: 0.8882, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4791, root_relative_squared_error: 1.0482, scimark_benchmark: 608.4057, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5041, f_measure: 0.5877, kappa: 0.0113, kb_relative_information_score: 337.4243, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6437, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 927.2882, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, f_measure: 0.6461, kappa: 0.1153, kb_relative_information_score: 66.801, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6479, predictive_accuracy: 0.6944, prior_entropy: 0.8796, recall: 0.6944, relative_absolute_error: 0.9185, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9898, scimark_benchmark: 933.3455, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6518, f_measure: 0.681, kappa: 0.2115, kb_relative_information_score: 166.1574, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6749, predictive_accuracy: 0.6972, prior_entropy: 0.8796, recall: 0.6972, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4651, root_relative_squared_error: 1.0177, scimark_benchmark: 906.0979, usercpu_time_millis: 2030, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.6741, kappa: 0.1876, kb_relative_information_score: 288.2189, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6702, predictive_accuracy: 0.7007, prior_entropy: 0.8796, recall: 0.7007, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.48, root_relative_squared_error: 1.0504, scimark_benchmark: 941.4991, usercpu_time_millis: 220, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6521, f_measure: 0.6644, kappa: 0.1663, kb_relative_information_score: 107.3441, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6574, predictive_accuracy: 0.6867, prior_entropy: 0.8796, recall: 0.6867, relative_absolute_error: 0.886, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9964, scimark_benchmark: 936.9595, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, f_measure: 0.6964, kappa: 0.2411, kb_relative_information_score: 166.8628, mean_absolute_error: 0.3648, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.7031, predictive_accuracy: 0.728, prior_entropy: 0.8796, recall: 0.728, relative_absolute_error: 0.872, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4352, root_relative_squared_error: 0.9522, scimark_benchmark: 919.9068, usercpu_time_millis: 3490, usercpu_time_millis_testing: 1070, usercpu_time_millis_training: 2420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.6947, kappa: 0.237, kb_relative_information_score: 163.924, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6994, predictive_accuracy: 0.7252, prior_entropy: 0.8796, recall: 0.7252, relative_absolute_error: 0.874, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.9556, scimark_benchmark: 931.9419, usercpu_time_millis: 1280, usercpu_time_millis_testing: 380, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.6844, kappa: 0.2112, kb_relative_information_score: 150.4969, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6876, predictive_accuracy: 0.7168, prior_entropy: 0.8796, recall: 0.7168, relative_absolute_error: 0.8799, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.966, scimark_benchmark: 917.2109, usercpu_time_millis: 590, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6647, f_measure: 0.6822, kappa: 0.2059, kb_relative_information_score: 147.1124, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6841, predictive_accuracy: 0.714, prior_entropy: 0.8796, recall: 0.714, relative_absolute_error: 0.8817, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.9686, scimark_benchmark: 935.0213, usercpu_time_millis: 260, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6487, f_measure: 0.6819, kappa: 0.2056, kb_relative_information_score: 132.989, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6816, predictive_accuracy: 0.7112, prior_entropy: 0.8796, recall: 0.7112, relative_absolute_error: 0.884, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9859, scimark_benchmark: 936.7184, usercpu_time_millis: 160, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6489, f_measure: 0.6796, kappa: 0.2057, kb_relative_information_score: 153.2104, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6739, predictive_accuracy: 0.6986, prior_entropy: 0.8796, recall: 0.6986, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4625, root_relative_squared_error: 1.012, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6489, f_measure: 0.6796, kappa: 0.2057, kb_relative_information_score: 153.2104, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6739, predictive_accuracy: 0.6986, prior_entropy: 0.8796, recall: 0.6986, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4625, root_relative_squared_error: 1.012, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6489, f_measure: 0.6796, kappa: 0.2057, kb_relative_information_score: 153.2104, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6739, predictive_accuracy: 0.6986, prior_entropy: 0.8796, recall: 0.6986, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4625, root_relative_squared_error: 1.012, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6489, f_measure: 0.6796, kappa: 0.2057, kb_relative_information_score: 153.2104, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6739, predictive_accuracy: 0.6986, prior_entropy: 0.8796, recall: 0.6986, relative_absolute_error: 0.8616, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4625, root_relative_squared_error: 1.012, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6567, f_measure: 0.6846, kappa: 0.216, kb_relative_information_score: 164.9658, mean_absolute_error: 0.3582, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6804, predictive_accuracy: 0.7063, prior_entropy: 0.8796, recall: 0.7063, relative_absolute_error: 0.8562, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4561, root_relative_squared_error: 0.998, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.5801, kb_relative_information_score: -6.4044, mean_absolute_error: 0.4189, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0001, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6728, f_measure: 0.6815, kappa: 0.2095, kb_relative_information_score: 334.4772, mean_absolute_error: 0.2985, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6762, predictive_accuracy: 0.7014, prior_entropy: 0.8796, recall: 0.7014, relative_absolute_error: 0.7136, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5039, root_relative_squared_error: 1.1026, scimark_benchmark: 936.1714, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6823, f_measure: 0.6884, kappa: 0.2268, kb_relative_information_score: 349.5908, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6838, predictive_accuracy: 0.7077, prior_entropy: 0.8796, recall: 0.7077, relative_absolute_error: 0.7035, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0987, scimark_benchmark: 936.1714, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.6904, kappa: 0.2346, kb_relative_information_score: 341.1222, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6852, predictive_accuracy: 0.7063, prior_entropy: 0.8796, recall: 0.7063, relative_absolute_error: 0.7088, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0955, scimark_benchmark: 938.3115, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.685, f_measure: 0.6911, kappa: 0.2368, kb_relative_information_score: 352.0267, mean_absolute_error: 0.2938, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6858, predictive_accuracy: 0.7063, prior_entropy: 0.8796, recall: 0.7063, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4969, root_relative_squared_error: 1.0872, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6771, f_measure: 0.6819, kappa: 0.2097, kb_relative_information_score: 341.0846, mean_absolute_error: 0.297, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6769, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.71, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.0966, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5801, kb_relative_information_score: 337.4243, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.4939, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.6786, kappa: 0.196, kb_relative_information_score: 125.3673, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6868, predictive_accuracy: 0.7175, prior_entropy: 0.8796, recall: 0.7175, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9952, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6595, f_measure: 0.6802, kappa: 0.208, kb_relative_information_score: -175.1131, mean_absolute_error: 0.4428, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6742, predictive_accuracy: 0.6979, prior_entropy: 0.8796, recall: 0.6979, relative_absolute_error: 1.0586, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4579, root_relative_squared_error: 1.0018, scimark_benchmark: 933.0918, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6729, f_measure: 0.6511, kappa: 0.1358, kb_relative_information_score: 96.0037, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6937, predictive_accuracy: 0.7189, prior_entropy: 0.8796, recall: 0.7189, relative_absolute_error: 0.9238, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.9612, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.6786, kappa: 0.196, kb_relative_information_score: 125.3673, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6868, predictive_accuracy: 0.7175, prior_entropy: 0.8796, recall: 0.7175, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9952, scimark_benchmark: 923.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.6761, kappa: 0.1971, kb_relative_information_score: -11.3834, mean_absolute_error: 0.4054, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6699, predictive_accuracy: 0.6951, prior_entropy: 0.8796, recall: 0.6951, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0002, scimark_benchmark: 926.4745, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6077, f_measure: 0.6764, kappa: 0.2027, kb_relative_information_score: 121.5582, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6699, predictive_accuracy: 0.6902, prior_entropy: 0.8796, recall: 0.6902, relative_absolute_error: 0.8882, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4791, root_relative_squared_error: 1.0482, scimark_benchmark: 941.6062, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5041, f_measure: 0.5877, kappa: 0.0113, kb_relative_information_score: 337.4243, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6437, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 890.5596, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 938.838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 922.5036, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, f_measure: 0.6461, kappa: 0.1153, kb_relative_information_score: 66.801, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6479, predictive_accuracy: 0.6944, prior_entropy: 0.8796, recall: 0.6944, relative_absolute_error: 0.9185, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9898, scimark_benchmark: 946.9304, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6518, f_measure: 0.681, kappa: 0.2115, kb_relative_information_score: 166.1574, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6749, predictive_accuracy: 0.6972, prior_entropy: 0.8796, recall: 0.6972, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4651, root_relative_squared_error: 1.0177, scimark_benchmark: 879.4299, usercpu_time_millis: 1910, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 942.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.6741, kappa: 0.1876, kb_relative_information_score: 288.2189, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6702, predictive_accuracy: 0.7007, prior_entropy: 0.8796, recall: 0.7007, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.48, root_relative_squared_error: 1.0504, scimark_benchmark: 942.3809, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6521, f_measure: 0.6644, kappa: 0.1663, kb_relative_information_score: 107.3441, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6574, predictive_accuracy: 0.6867, prior_entropy: 0.8796, recall: 0.6867, relative_absolute_error: 0.886, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9964, scimark_benchmark: 928.8135, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.6786, kappa: 0.196, kb_relative_information_score: 125.3673, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6868, predictive_accuracy: 0.7175, prior_entropy: 0.8796, recall: 0.7175, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9952, scimark_benchmark: 901.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5041, f_measure: 0.5877, kappa: 0.0113, kb_relative_information_score: 337.4243, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6437, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 1346.6261, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5041, f_measure: 0.5877, kappa: 0.0113, kb_relative_information_score: 337.4243, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6437, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 1346.2927, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, f_measure: 0.6461, kappa: 0.1153, kb_relative_information_score: 66.801, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6479, predictive_accuracy: 0.6944, prior_entropy: 0.8796, recall: 0.6944, relative_absolute_error: 0.9185, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9898, scimark_benchmark: 1309.4998, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6518, f_measure: 0.681, kappa: 0.2115, kb_relative_information_score: 166.1574, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6749, predictive_accuracy: 0.6972, prior_entropy: 0.8796, recall: 0.6972, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4651, root_relative_squared_error: 1.0177, scimark_benchmark: 1309.4998, usercpu_time_millis: 1430, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.6786, kappa: 0.196, kb_relative_information_score: 125.3673, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6868, predictive_accuracy: 0.7175, prior_entropy: 0.8796, recall: 0.7175, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9952, scimark_benchmark: 1324.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.7164, kappa: 0.3034, kb_relative_information_score: 279.663, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.7123, predictive_accuracy: 0.7266, prior_entropy: 0.8796, recall: 0.7266, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9955, scimark_benchmark: 1362.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, f_measure: 0.6461, kappa: 0.1153, kb_relative_information_score: 66.801, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6479, predictive_accuracy: 0.6944, prior_entropy: 0.8796, recall: 0.6944, relative_absolute_error: 0.9185, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9898, scimark_benchmark: 1313.8988, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6521, f_measure: 0.6644, kappa: 0.1663, kb_relative_information_score: 107.3441, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6574, predictive_accuracy: 0.6867, prior_entropy: 0.8796, recall: 0.6867, relative_absolute_error: 0.886, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9964, scimark_benchmark: 1336.0954, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.7164, kappa: 0.3034, kb_relative_information_score: 279.663, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.7123, predictive_accuracy: 0.7266, prior_entropy: 0.8796, recall: 0.7266, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9955, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 1347.6543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, f_measure: 0.6461, kappa: 0.1153, kb_relative_information_score: 66.801, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6479, predictive_accuracy: 0.6944, prior_entropy: 0.8796, recall: 0.6944, relative_absolute_error: 0.9185, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9898, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 1331.7953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.6761, kappa: 0.1971, kb_relative_information_score: -11.3834, mean_absolute_error: 0.4054, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6699, predictive_accuracy: 0.6951, prior_entropy: 0.8796, recall: 0.6951, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0002, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5041, f_measure: 0.5877, kappa: 0.0113, kb_relative_information_score: 337.4243, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6437, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 1324.7884, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5041, f_measure: 0.5877, kappa: 0.0113, kb_relative_information_score: 337.4243, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6437, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 1310.6554, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.7164, kappa: 0.3034, kb_relative_information_score: 279.663, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.7123, predictive_accuracy: 0.7266, prior_entropy: 0.8796, recall: 0.7266, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9955, scimark_benchmark: 1309.0674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 1306.9281, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, f_measure: 0.6461, kappa: 0.1153, kb_relative_information_score: 66.801, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6479, predictive_accuracy: 0.6944, prior_entropy: 0.8796, recall: 0.6944, relative_absolute_error: 0.9185, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9898, scimark_benchmark: 1366.7181, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 1349.1517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5041, f_measure: 0.5877, kappa: 0.0113, kb_relative_information_score: 337.4243, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6437, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 1324.7884, usercpu_time_millis: 50, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.7164, kappa: 0.3034, kb_relative_information_score: 279.663, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.7123, predictive_accuracy: 0.7266, prior_entropy: 0.8796, recall: 0.7266, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9955, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6518, f_measure: 0.681, kappa: 0.2115, kb_relative_information_score: 166.1574, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6749, predictive_accuracy: 0.6972, prior_entropy: 0.8796, recall: 0.6972, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4651, root_relative_squared_error: 1.0177, scimark_benchmark: 1339.2472, usercpu_time_millis: 1620, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.6761, kappa: 0.1971, kb_relative_information_score: -11.3834, mean_absolute_error: 0.4054, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6699, predictive_accuracy: 0.6951, prior_entropy: 0.8796, recall: 0.6951, relative_absolute_error: 0.9691, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4571, root_relative_squared_error: 1.0002, scimark_benchmark: 1358.6198, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.7164, kappa: 0.3034, kb_relative_information_score: 279.663, mean_absolute_error: 0.3254, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.7123, predictive_accuracy: 0.7266, prior_entropy: 0.8796, recall: 0.7266, relative_absolute_error: 0.7778, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.455, root_relative_squared_error: 0.9955, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6518, f_measure: 0.681, kappa: 0.2115, kb_relative_information_score: 166.1574, mean_absolute_error: 0.3542, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6749, predictive_accuracy: 0.6972, prior_entropy: 0.8796, recall: 0.6972, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4651, root_relative_squared_error: 1.0177, scimark_benchmark: 1326.2019, usercpu_time_millis: 1460, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 1326.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.6741, kappa: 0.1876, kb_relative_information_score: 288.2189, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6702, predictive_accuracy: 0.7007, prior_entropy: 0.8796, recall: 0.7007, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.48, root_relative_squared_error: 1.0504, scimark_benchmark: 1311.5017, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6077, f_measure: 0.6764, kappa: 0.2027, kb_relative_information_score: 121.5582, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6699, predictive_accuracy: 0.6902, prior_entropy: 0.8796, recall: 0.6902, relative_absolute_error: 0.8882, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4791, root_relative_squared_error: 1.0482, scimark_benchmark: 1253.0071, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5041, f_measure: 0.5877, kappa: 0.0113, kb_relative_information_score: 337.4243, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6437, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 1317.2327, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5041, f_measure: 0.5877, kappa: 0.0113, kb_relative_information_score: 337.4243, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6437, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 1313.5633, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 1390.8284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6342, f_measure: 0.6461, kappa: 0.1153, kb_relative_information_score: 66.801, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6479, predictive_accuracy: 0.6944, prior_entropy: 0.8796, recall: 0.6944, relative_absolute_error: 0.9185, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9898, scimark_benchmark: 1333.9912, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 1345.0202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6521, f_measure: 0.6644, kappa: 0.1663, kb_relative_information_score: 107.3441, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6574, predictive_accuracy: 0.6867, prior_entropy: 0.8796, recall: 0.6867, relative_absolute_error: 0.886, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9964, scimark_benchmark: 1313.8988, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.598, f_measure: 0.6786, kappa: 0.196, kb_relative_information_score: 125.3673, mean_absolute_error: 0.3801, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6868, predictive_accuracy: 0.7175, prior_entropy: 0.8796, recall: 0.7175, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9952, scimark_benchmark: 1316.6741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5041, f_measure: 0.5877, kappa: 0.0113, kb_relative_information_score: 337.4243, mean_absolute_error: 0.2972, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6437, predictive_accuracy: 0.7028, prior_entropy: 0.8796, recall: 0.7028, relative_absolute_error: 0.7105, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.5452, root_relative_squared_error: 1.1928, scimark_benchmark: 1322.7257, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.7006, kappa: 0.2608, kb_relative_information_score: 248.0322, mean_absolute_error: 0.3321, mean_prior_absolute_error: 0.4183, number_of_instances: 1430, precision: 0.6959, predictive_accuracy: 0.7147, prior_entropy: 0.8796, recall: 0.7147, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.457, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9928, scimark_benchmark: 1343.7262,

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