Task
Supervised Classification on lowbwt

Supervised Classification on lowbwt

Task 3804 Supervised Classification lowbwt 555 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

555 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8646, build_cpu_time: 0.0318, build_memory: 68370022.0529, f_measure: 0.8268, kappa: 0.6564, kb_relative_information_score: 106.7698, mean_absolute_error: 0.2275, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8519, predictive_accuracy: 0.8307, prior_entropy: 0.9984, recall: 0.8307, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7048, scimark_benchmark: 942.4019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.8205, kappa: 0.6452, kb_relative_information_score: 104.2495, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8526, predictive_accuracy: 0.8254, prior_entropy: 0.9984, recall: 0.8254, relative_absolute_error: 0.4707, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.722, scimark_benchmark: 1314.7093, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.856, kappa: 0.7117, kb_relative_information_score: 102.7818, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8632, predictive_accuracy: 0.8571, prior_entropy: 0.9984, recall: 0.8571, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7182, scimark_benchmark: 1322.0065, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.8129, kappa: 0.626, kb_relative_information_score: 98.9867, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8216, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.4991, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7563, scimark_benchmark: 1336.0954, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.8018, kappa: 0.6042, kb_relative_information_score: 99.4828, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8128, predictive_accuracy: 0.8042, prior_entropy: 0.9984, recall: 0.8042, relative_absolute_error: 0.4966, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.7401, scimark_benchmark: 1362.1309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8137, kappa: 0.6267, kb_relative_information_score: 103.8771, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8181, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7177, scimark_benchmark: 1327.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.8064, kappa: 0.6143, kb_relative_information_score: 100.1545, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8223, predictive_accuracy: 0.8095, prior_entropy: 0.9984, recall: 0.8095, relative_absolute_error: 0.497, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7115, scimark_benchmark: 1341.5795, usercpu_time_millis: 530, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8176, kappa: 0.6361, kb_relative_information_score: 92.6188, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8307, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.5351, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.7212, scimark_benchmark: 1348.2476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8137, kappa: 0.6267, kb_relative_information_score: 103.8771, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8181, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7177, scimark_benchmark: 1347.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8137, kappa: 0.6267, kb_relative_information_score: 103.8771, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8181, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7177, scimark_benchmark: 1260.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.8188, kappa: 0.6372, kb_relative_information_score: 104.4494, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8243, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.4681, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.7293, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.856, kappa: 0.7117, kb_relative_information_score: 102.7818, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8632, predictive_accuracy: 0.8571, prior_entropy: 0.9984, recall: 0.8571, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7182, scimark_benchmark: 1281.7531, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.8064, kappa: 0.6143, kb_relative_information_score: 100.1545, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8223, predictive_accuracy: 0.8095, prior_entropy: 0.9984, recall: 0.8095, relative_absolute_error: 0.497, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7115, scimark_benchmark: 1334.8032, usercpu_time_millis: 530, usercpu_time_millis_training: 530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.8205, kappa: 0.6452, kb_relative_information_score: 104.2495, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8526, predictive_accuracy: 0.8254, prior_entropy: 0.9984, recall: 0.8254, relative_absolute_error: 0.4707, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.722, scimark_benchmark: 1332.7986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8137, kappa: 0.6267, kb_relative_information_score: 103.8771, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8181, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7177, scimark_benchmark: 1327.3335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8137, kappa: 0.6267, kb_relative_information_score: 103.8771, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8181, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7177, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8137, kappa: 0.6267, kb_relative_information_score: 103.8771, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8181, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7177, scimark_benchmark: 1332.7986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.8018, kappa: 0.6042, kb_relative_information_score: 99.4828, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8128, predictive_accuracy: 0.8042, prior_entropy: 0.9984, recall: 0.8042, relative_absolute_error: 0.4966, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.7401, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.8188, kappa: 0.6372, kb_relative_information_score: 104.4494, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8243, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.4681, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.7293, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8137, kappa: 0.6267, kb_relative_information_score: 103.8771, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8181, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7177, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8137, kappa: 0.6267, kb_relative_information_score: 103.8771, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8181, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7177, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7975, kappa: 0.5945, kb_relative_information_score: 100.1029, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8027, predictive_accuracy: 0.7989, prior_entropy: 0.9984, recall: 0.7989, relative_absolute_error: 0.4904, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.7696, scimark_benchmark: 1345.6844, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.8018, kappa: 0.6042, kb_relative_information_score: 99.4828, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8128, predictive_accuracy: 0.8042, prior_entropy: 0.9984, recall: 0.8042, relative_absolute_error: 0.4966, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.7401, scimark_benchmark: 944.4621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8137, kappa: 0.6267, kb_relative_information_score: 103.8771, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8181, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7177, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6237, f_measure: 0.6235, kappa: 0.25, kb_relative_information_score: 48.5441, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.6319, predictive_accuracy: 0.6296, prior_entropy: 0.9984, recall: 0.6296, relative_absolute_error: 0.7424, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6086, root_relative_squared_error: 1.2185, scimark_benchmark: 1339.2472, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6237, f_measure: 0.6235, kappa: 0.25, kb_relative_information_score: 48.5441, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.6319, predictive_accuracy: 0.6296, prior_entropy: 0.9984, recall: 0.6296, relative_absolute_error: 0.7424, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6086, root_relative_squared_error: 1.2185, scimark_benchmark: 1346.2927, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.8129, kappa: 0.626, kb_relative_information_score: 98.9867, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8216, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.4991, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7563, scimark_benchmark: 1336.0954, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8137, kappa: 0.6267, kb_relative_information_score: 103.8771, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8181, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7177, scimark_benchmark: 1339.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6237, f_measure: 0.6235, kappa: 0.25, kb_relative_information_score: 48.5441, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.6319, predictive_accuracy: 0.6296, prior_entropy: 0.9984, recall: 0.6296, relative_absolute_error: 0.7424, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6086, root_relative_squared_error: 1.2185, scimark_benchmark: 1324.8408, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8137, kappa: 0.6267, kb_relative_information_score: 103.8771, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8181, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7177, scimark_benchmark: 908.2231, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8137, kappa: 0.6267, kb_relative_information_score: 103.8771, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8181, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7177, scimark_benchmark: 1331.2559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.8188, kappa: 0.6372, kb_relative_information_score: 104.4494, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8243, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.4681, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.7293, scimark_benchmark: 1337.8124, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8137, kappa: 0.6267, kb_relative_information_score: 103.8771, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8181, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7177, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8137, kappa: 0.6267, kb_relative_information_score: 103.8771, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8181, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7177, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8137, kappa: 0.6267, kb_relative_information_score: 103.8771, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8181, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7177, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.856, kappa: 0.7117, kb_relative_information_score: 102.7818, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8632, predictive_accuracy: 0.8571, prior_entropy: 0.9984, recall: 0.8571, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7182, scimark_benchmark: 1342.8632, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8137, kappa: 0.6267, kb_relative_information_score: 103.8771, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8181, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7177, scimark_benchmark: 1353.0836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.8018, kappa: 0.6042, kb_relative_information_score: 99.4828, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8128, predictive_accuracy: 0.8042, prior_entropy: 0.9984, recall: 0.8042, relative_absolute_error: 0.4966, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.7401, scimark_benchmark: 1324.9519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.8129, kappa: 0.626, kb_relative_information_score: 98.9867, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8216, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.4991, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7563, scimark_benchmark: 1325.7874, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8137, kappa: 0.6267, kb_relative_information_score: 103.8771, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8181, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7177, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8176, kappa: 0.6361, kb_relative_information_score: 92.6188, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8307, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.5351, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.7212, scimark_benchmark: 1314.9949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.856, kappa: 0.7117, kb_relative_information_score: 102.7818, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8632, predictive_accuracy: 0.8571, prior_entropy: 0.9984, recall: 0.8571, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7182, scimark_benchmark: 1318.6467, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8137, kappa: 0.6267, kb_relative_information_score: 103.8771, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8181, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7177, scimark_benchmark: 1309.4998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.8188, kappa: 0.6372, kb_relative_information_score: 104.4494, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8243, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.4681, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.7293, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8137, kappa: 0.6267, kb_relative_information_score: 103.8771, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8181, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7177, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.8129, kappa: 0.626, kb_relative_information_score: 98.9867, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8216, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.4991, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7563, scimark_benchmark: 1350.2591, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.8205, kappa: 0.6452, kb_relative_information_score: 104.2495, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8526, predictive_accuracy: 0.8254, prior_entropy: 0.9984, recall: 0.8254, relative_absolute_error: 0.4707, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.722, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8137, kappa: 0.6267, kb_relative_information_score: 103.8771, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8181, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7177, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8137, kappa: 0.6267, kb_relative_information_score: 103.8771, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8181, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7177, scimark_benchmark: 1324.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8137, kappa: 0.6267, kb_relative_information_score: 103.8771, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8181, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7177, scimark_benchmark: 1333.202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.8018, kappa: 0.6042, kb_relative_information_score: 99.4828, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8128, predictive_accuracy: 0.8042, prior_entropy: 0.9984, recall: 0.8042, relative_absolute_error: 0.4966, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.7401, scimark_benchmark: 901.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8137, kappa: 0.6267, kb_relative_information_score: 103.8771, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8181, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7177, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8552, f_measure: 0.8188, kappa: 0.6372, kb_relative_information_score: 104.4494, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8243, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.4681, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3642, root_relative_squared_error: 0.7293, scimark_benchmark: 1310.6554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8137, kappa: 0.6267, kb_relative_information_score: 103.8771, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8181, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7177, scimark_benchmark: 1374.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.8007, kappa: 0.6034, kb_relative_information_score: 92.6906, mean_absolute_error: 0.2667, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8182, predictive_accuracy: 0.8042, prior_entropy: 0.9984, recall: 0.8042, relative_absolute_error: 0.5346, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3856, root_relative_squared_error: 0.7722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.8236, kappa: 0.6473, kb_relative_information_score: 101.7972, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8326, predictive_accuracy: 0.8254, prior_entropy: 0.9984, recall: 0.8254, relative_absolute_error: 0.485, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7195, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.8283, kappa: 0.6575, kb_relative_information_score: 104.5374, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8418, predictive_accuracy: 0.8307, prior_entropy: 0.9984, recall: 0.8307, relative_absolute_error: 0.4719, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.7231, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.8438, kappa: 0.6891, kb_relative_information_score: 101.282, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8633, predictive_accuracy: 0.8466, prior_entropy: 0.9984, recall: 0.8466, relative_absolute_error: 0.4944, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7024, scimark_benchmark: 1887.4343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.8407, kappa: 0.6805, kb_relative_information_score: 116.7464, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8431, predictive_accuracy: 0.8413, prior_entropy: 0.9984, recall: 0.8413, relative_absolute_error: 0.394, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3514, root_relative_squared_error: 0.7037, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.8474, kappa: 0.6988, kb_relative_information_score: 132.8138, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8845, predictive_accuracy: 0.8519, prior_entropy: 0.9984, recall: 0.8519, relative_absolute_error: 0.297, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.8474, kappa: 0.6988, kb_relative_information_score: 132.8138, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8845, predictive_accuracy: 0.8519, prior_entropy: 0.9984, recall: 0.8519, relative_absolute_error: 0.297, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.8236, kappa: 0.6473, kb_relative_information_score: 101.7972, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8326, predictive_accuracy: 0.8254, prior_entropy: 0.9984, recall: 0.8254, relative_absolute_error: 0.485, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.83, kappa: 0.666, kb_relative_information_score: 126.7945, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8751, predictive_accuracy: 0.836, prior_entropy: 0.9984, recall: 0.836, relative_absolute_error: 0.3288, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.856, kappa: 0.7117, kb_relative_information_score: 102.7818, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8632, predictive_accuracy: 0.8571, prior_entropy: 0.9984, recall: 0.8571, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8572, f_measure: 0.8181, kappa: 0.6365, kb_relative_information_score: 99.8769, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8282, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.4951, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8892, f_measure: 0.835, kappa: 0.6694, kb_relative_information_score: 107.5898, mean_absolute_error: 0.2257, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8397, predictive_accuracy: 0.836, prior_entropy: 0.9984, recall: 0.836, relative_absolute_error: 0.4524, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.6944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, f_measure: 0.8303, kappa: 0.6596, kb_relative_information_score: 124.2124, mean_absolute_error: 0.1735, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8315, predictive_accuracy: 0.8307, prior_entropy: 0.9984, recall: 0.8307, relative_absolute_error: 0.3478, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.7673, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.8438, kappa: 0.6891, kb_relative_information_score: 101.282, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8633, predictive_accuracy: 0.8466, prior_entropy: 0.9984, recall: 0.8466, relative_absolute_error: 0.4944, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7024, scimark_benchmark: 1732.2066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.83, kappa: 0.666, kb_relative_information_score: 99.7723, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8751, predictive_accuracy: 0.836, prior_entropy: 0.9984, recall: 0.836, relative_absolute_error: 0.5021, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, f_measure: 0.8181, kappa: 0.6365, kb_relative_information_score: 106.8676, mean_absolute_error: 0.2242, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8282, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.4495, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8623, f_measure: 0.8129, kappa: 0.626, kb_relative_information_score: 105.3116, mean_absolute_error: 0.2294, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8216, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.8236, kappa: 0.6473, kb_relative_information_score: 101.7972, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8326, predictive_accuracy: 0.8254, prior_entropy: 0.9984, recall: 0.8254, relative_absolute_error: 0.485, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.7195, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.8438, kappa: 0.6891, kb_relative_information_score: 101.282, mean_absolute_error: 0.2467, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8633, predictive_accuracy: 0.8466, prior_entropy: 0.9984, recall: 0.8466, relative_absolute_error: 0.4944, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3508, root_relative_squared_error: 0.7024, scimark_benchmark: 1877.5305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.8236, kappa: 0.6473, kb_relative_information_score: 101.7366, mean_absolute_error: 0.2421, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8326, predictive_accuracy: 0.8254, prior_entropy: 0.9984, recall: 0.8254, relative_absolute_error: 0.4853, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.8283, kappa: 0.6575, kb_relative_information_score: 104.5374, mean_absolute_error: 0.2354, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8418, predictive_accuracy: 0.8307, prior_entropy: 0.9984, recall: 0.8307, relative_absolute_error: 0.4719, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3611, root_relative_squared_error: 0.7231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.8489, kappa: 0.6997, kb_relative_information_score: 112.499, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8708, predictive_accuracy: 0.8519, prior_entropy: 0.9984, recall: 0.8519, relative_absolute_error: 0.4302, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3489, root_relative_squared_error: 0.6985, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8086, f_measure: 0.8109, kappa: 0.6244, kb_relative_information_score: 118.7688, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8328, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.3712, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.83, kappa: 0.666, kb_relative_information_score: 126.7945, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8751, predictive_accuracy: 0.836, prior_entropy: 0.9984, recall: 0.836, relative_absolute_error: 0.3288, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.8358, kappa: 0.6769, kb_relative_information_score: 128.8009, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8782, predictive_accuracy: 0.8413, prior_entropy: 0.9984, recall: 0.8413, relative_absolute_error: 0.3182, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.7977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8146, f_measure: 0.8171, kappa: 0.6357, kb_relative_information_score: 120.7752, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8335, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.3606, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.8492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8644, f_measure: 0.856, kappa: 0.7117, kb_relative_information_score: 102.7818, mean_absolute_error: 0.2413, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8632, predictive_accuracy: 0.8571, prior_entropy: 0.9984, recall: 0.8571, relative_absolute_error: 0.4838, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7182, 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: 0.8611, f_measure: 0.8064, kappa: 0.6143, kb_relative_information_score: 100.1545, mean_absolute_error: 0.2479, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8223, predictive_accuracy: 0.8095, prior_entropy: 0.9984, recall: 0.8095, relative_absolute_error: 0.497, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3554, root_relative_squared_error: 0.7115, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.8137, kappa: 0.6267, kb_relative_information_score: 103.8771, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8181, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.4735, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3584, root_relative_squared_error: 0.7177, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6237, f_measure: 0.6235, kappa: 0.25, kb_relative_information_score: 48.5441, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.6319, predictive_accuracy: 0.6296, prior_entropy: 0.9984, recall: 0.6296, relative_absolute_error: 0.7424, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6086, root_relative_squared_error: 1.2185, scimark_benchmark: 932.438, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8395, f_measure: 0.8129, kappa: 0.626, kb_relative_information_score: 98.9867, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8216, predictive_accuracy: 0.8148, prior_entropy: 0.9984, recall: 0.8148, relative_absolute_error: 0.4991, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7563, scimark_benchmark: 927.2917, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.8205, kappa: 0.6452, kb_relative_information_score: 104.2495, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8526, predictive_accuracy: 0.8254, prior_entropy: 0.9984, recall: 0.8254, relative_absolute_error: 0.4707, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3606, root_relative_squared_error: 0.722, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, f_measure: 0.7975, kappa: 0.5945, kb_relative_information_score: 100.1029, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8027, predictive_accuracy: 0.7989, prior_entropy: 0.9984, recall: 0.7989, relative_absolute_error: 0.4904, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.7696, scimark_benchmark: 851.2074, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.867, f_measure: 0.8176, kappa: 0.6361, kb_relative_information_score: 92.6188, mean_absolute_error: 0.2669, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8307, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.5351, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3602, root_relative_squared_error: 0.7212, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.8013, kappa: 0.6038, kb_relative_information_score: 114.756, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8153, predictive_accuracy: 0.8042, prior_entropy: 0.9984, recall: 0.8042, relative_absolute_error: 0.3924, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.8859, usercpu_time_millis: 16.467, usercpu_time_millis_testing: 4.04, usercpu_time_millis_training: 12.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.8386, kappa: 0.6786, kb_relative_information_score: 128.8009, mean_absolute_error: 0.1587, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8559, predictive_accuracy: 0.8413, prior_entropy: 0.9984, recall: 0.8413, relative_absolute_error: 0.3182, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.7977, usercpu_time_millis: 1.398, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 1.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.7183, kappa: 0.4353, kb_relative_information_score: 82.6532, mean_absolute_error: 0.2804, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.7203, predictive_accuracy: 0.7196, prior_entropy: 0.9984, recall: 0.7196, relative_absolute_error: 0.5621, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.5296, root_relative_squared_error: 1.0603, usercpu_time_millis: 6.813, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 6.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.83, kappa: 0.666, kb_relative_information_score: 126.7945, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8751, predictive_accuracy: 0.836, prior_entropy: 0.9984, recall: 0.836, relative_absolute_error: 0.3288, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8109, usercpu_time_millis: 0.774, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 0.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8177, f_measure: 0.8198, kappa: 0.6448, kb_relative_information_score: 122.7817, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8575, predictive_accuracy: 0.8254, prior_entropy: 0.9984, recall: 0.8254, relative_absolute_error: 0.35, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4179, root_relative_squared_error: 0.8367, usercpu_time_millis: 12.244, usercpu_time_millis_testing: 0.757, usercpu_time_millis_training: 11.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.83, kappa: 0.666, kb_relative_information_score: 126.7945, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8751, predictive_accuracy: 0.836, prior_entropy: 0.9984, recall: 0.836, relative_absolute_error: 0.3288, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8109, usercpu_time_millis: 0.214, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.816, kappa: 0.635, kb_relative_information_score: 120.7752, mean_absolute_error: 0.1799, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8404, predictive_accuracy: 0.8201, prior_entropy: 0.9984, recall: 0.8201, relative_absolute_error: 0.3606, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.8492, usercpu_time_millis: 41.341, usercpu_time_millis_testing: 2.552, usercpu_time_millis_training: 38.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.83, kappa: 0.666, kb_relative_information_score: 126.7945, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8751, predictive_accuracy: 0.836, prior_entropy: 0.9984, recall: 0.836, relative_absolute_error: 0.3288, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8109, usercpu_time_millis: 0.318, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8258, f_measure: 0.8283, kappa: 0.6575, kb_relative_information_score: 124.7881, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8418, predictive_accuracy: 0.8307, prior_entropy: 0.9984, recall: 0.8307, relative_absolute_error: 0.3394, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8239, usercpu_time_millis: 2.923, usercpu_time_millis_testing: 1.188, usercpu_time_millis_training: 1.735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8293, f_measure: 0.8319, kappa: 0.667, kb_relative_information_score: 126.7945, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8597, predictive_accuracy: 0.836, prior_entropy: 0.9984, recall: 0.836, relative_absolute_error: 0.3288, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8109, usercpu_time_millis: 2.181, usercpu_time_millis_testing: 0.882, usercpu_time_millis_training: 1.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.3781, kappa: 0.0021, kb_relative_information_score: 8.4156, mean_absolute_error: 0.4762, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.5127, predictive_accuracy: 0.5238, prior_entropy: 0.9984, recall: 0.5238, relative_absolute_error: 0.9545, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.6901, root_relative_squared_error: 1.3817, usercpu_time_millis: 0.254, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.8036, kappa: 0.6062, kb_relative_information_score: 114.756, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.4989, number_of_instances: 189, precision: 0.8052, predictive_accuracy: 0.8042, prior_entropy: 0.9984, recall: 0.8042, relative_absolute_error: 0.3924, root_mean_prior_squared_error: 0.4994, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.8859, usercpu_time_millis: 1.816, usercpu_time_millis_testing: 0.722, usercpu_time_millis_training: 1.094,

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