Task
Supervised Classification on shuttle-landing-control

Supervised Classification on shuttle-landing-control

Task 2931 Supervised Classification shuttle-landing-control 213 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

213 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: 17.0132, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2674, root_relative_squared_error: 1.0504, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9011, kb_relative_information_score: 4.4941, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.884, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.9011, kb_relative_information_score: 3.582, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.6049, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.8664, scimark_benchmark: 851.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9011, kb_relative_information_score: 44.922, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.3953, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2582, root_relative_squared_error: 1.0141, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.35, f_measure: 0.9011, kb_relative_information_score: -21.7429, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0572, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: 21.9955, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2647, root_relative_squared_error: 1.0396, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: 24.171, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.6304, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2637, root_relative_squared_error: 1.0357, scimark_benchmark: 943.8235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.35, f_measure: 0.9011, kb_relative_information_score: -21.7429, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0572, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1857, f_measure: 0.9011, kb_relative_information_score: 8.9178, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.0681, scimark_benchmark: 931.771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9011, kb_relative_information_score: 44.922, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.3953, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2582, root_relative_squared_error: 1.0141, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - f_measure: 0.9011, kb_relative_information_score: -99.8042, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 1.2093, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.3049, root_relative_squared_error: 1.1976, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4157, f_measure: 0.9011, kb_relative_information_score: -96.8297, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 1.1392, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2986, root_relative_squared_error: 1.1726, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1857, f_measure: 0.9011, kb_relative_information_score: 8.9178, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.0681, scimark_benchmark: 943.1009, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: 17.0132, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2674, root_relative_squared_error: 1.0504, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9011, kb_relative_information_score: 4.4941, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.884, scimark_benchmark: 935.2002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.9011, kb_relative_information_score: 3.582, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.6049, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.8664, scimark_benchmark: 608.4057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9011, kb_relative_information_score: 44.922, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.3953, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2582, root_relative_squared_error: 1.0141, scimark_benchmark: 936.2574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.35, f_measure: 0.9011, kb_relative_information_score: -21.7429, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0572, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.35, f_measure: 0.9011, kb_relative_information_score: -21.7429, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0572, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: 21.9955, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2647, root_relative_squared_error: 1.0396, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: 24.171, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.6304, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2637, root_relative_squared_error: 1.0357, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.35, f_measure: 0.9011, kb_relative_information_score: -21.7429, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0572, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4157, f_measure: 0.9011, kb_relative_information_score: -96.8297, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 1.1392, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2986, root_relative_squared_error: 1.1726, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1857, f_measure: 0.9011, kb_relative_information_score: 8.9178, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.0681, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: 17.0132, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2674, root_relative_squared_error: 1.0504, scimark_benchmark: 1158.055, usercpu_time_millis: 130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: 17.0132, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2674, root_relative_squared_error: 1.0504, scimark_benchmark: 936.3213, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: 17.0132, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2674, root_relative_squared_error: 1.0504, scimark_benchmark: 939.7883, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: 17.0132, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2674, root_relative_squared_error: 1.0504, scimark_benchmark: 939.0589, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: 17.0132, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2674, root_relative_squared_error: 1.0504, scimark_benchmark: 935.6052, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4214, f_measure: 0.8558, kappa: -0.0815, kb_relative_information_score: -43.0463, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8652, predictive_accuracy: 0.8467, prior_entropy: 0.5226, recall: 0.8467, relative_absolute_error: 0.8982, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.3738, root_relative_squared_error: 1.4683, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4214, f_measure: 0.841, kappa: -0.0916, kb_relative_information_score: -54.2297, mean_absolute_error: 0.1656, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8632, predictive_accuracy: 0.82, prior_entropy: 0.5226, recall: 0.82, relative_absolute_error: 0.982, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.3944, root_relative_squared_error: 1.5489, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4214, f_measure: 0.8558, kappa: -0.0815, kb_relative_information_score: -43.0421, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8652, predictive_accuracy: 0.8467, prior_entropy: 0.5226, recall: 0.8467, relative_absolute_error: 0.8981, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.3738, root_relative_squared_error: 1.4683, scimark_benchmark: 894.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4214, f_measure: 0.841, kappa: -0.0916, kb_relative_information_score: -54.2035, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8632, predictive_accuracy: 0.82, prior_entropy: 0.5226, recall: 0.82, relative_absolute_error: 0.9817, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.3942, root_relative_squared_error: 1.5485, scimark_benchmark: 926.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4214, f_measure: 0.8667, kappa: -0.0714, kb_relative_information_score: -42.4414, mean_absolute_error: 0.1507, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8667, predictive_accuracy: 0.8667, prior_entropy: 0.5226, recall: 0.8667, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.3729, root_relative_squared_error: 1.4647, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: -36.0124, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 1.0641, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2703, root_relative_squared_error: 1.0617, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4393, f_measure: 0.8558, kappa: -0.0815, kb_relative_information_score: -39.4174, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8652, predictive_accuracy: 0.8467, prior_entropy: 0.5226, recall: 0.8467, relative_absolute_error: 0.9147, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.3873, root_relative_squared_error: 1.5213, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4393, f_measure: 0.8448, kappa: -0.0894, kb_relative_information_score: -54.2753, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8637, predictive_accuracy: 0.8267, prior_entropy: 0.5226, recall: 0.8267, relative_absolute_error: 1.0019, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.4044, root_relative_squared_error: 1.5884, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4393, f_measure: 0.8558, kappa: -0.0815, kb_relative_information_score: -39.4166, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8652, predictive_accuracy: 0.8467, prior_entropy: 0.5226, recall: 0.8467, relative_absolute_error: 0.9147, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.3873, root_relative_squared_error: 1.5213, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4393, f_measure: 0.8448, kappa: -0.0894, kb_relative_information_score: -54.4077, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8637, predictive_accuracy: 0.8267, prior_entropy: 0.5226, recall: 0.8267, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.4047, root_relative_squared_error: 1.5895, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4036, f_measure: 0.841, kappa: -0.0916, kb_relative_information_score: -61.2955, mean_absolute_error: 0.1798, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8632, predictive_accuracy: 0.82, prior_entropy: 0.5226, recall: 0.82, relative_absolute_error: 1.066, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.4237, root_relative_squared_error: 1.664, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9011, kb_relative_information_score: 44.922, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.3953, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2582, root_relative_squared_error: 1.0141, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: 17.0132, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2674, root_relative_squared_error: 1.0504, scimark_benchmark: 906.0884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3571, f_measure: 0.9011, kb_relative_information_score: 33.2867, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.5535, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2633, root_relative_squared_error: 1.0342, scimark_benchmark: 931.7994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: 17.0132, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2674, root_relative_squared_error: 1.0504, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9011, kb_relative_information_score: 4.4941, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.884, scimark_benchmark: 926.4745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.9011, kb_relative_information_score: 3.582, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.6049, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.8664, scimark_benchmark: 934.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9011, kb_relative_information_score: 44.922, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.3953, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2582, root_relative_squared_error: 1.0141, scimark_benchmark: 946.6409, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.35, f_measure: 0.9011, kb_relative_information_score: -21.7429, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0572, scimark_benchmark: 945.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.35, f_measure: 0.9011, kb_relative_information_score: -21.7429, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0572, scimark_benchmark: 922.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: 21.9955, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2647, root_relative_squared_error: 1.0396, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: 24.171, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.6304, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2637, root_relative_squared_error: 1.0357, scimark_benchmark: 890.5596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.35, f_measure: 0.9011, kb_relative_information_score: -21.7429, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0572, scimark_benchmark: 879.4299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4157, f_measure: 0.9011, kb_relative_information_score: -96.8297, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 1.1392, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2986, root_relative_squared_error: 1.1726, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1857, f_measure: 0.9011, kb_relative_information_score: 8.9178, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.0681, scimark_benchmark: 946.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: 17.0132, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2674, root_relative_squared_error: 1.0504, scimark_benchmark: 933.4598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9011, kb_relative_information_score: 44.922, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.3953, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2582, root_relative_squared_error: 1.0141, scimark_benchmark: 1325.1654,
0 likes - 0 downloads - 0 reach - f_measure: 0.9011, kb_relative_information_score: -99.8042, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 1.2093, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.3049, root_relative_squared_error: 1.1976, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.35, f_measure: 0.9011, kb_relative_information_score: -21.7429, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0572, scimark_benchmark: 1332.1612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: 21.9955, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2647, root_relative_squared_error: 1.0396, scimark_benchmark: 1327.5842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9011, kb_relative_information_score: 44.922, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.3953, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2582, root_relative_squared_error: 1.0141, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9011, kb_relative_information_score: 44.922, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.3953, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2582, root_relative_squared_error: 1.0141, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - f_measure: 0.9011, kb_relative_information_score: -99.8042, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 1.2093, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.3049, root_relative_squared_error: 1.1976, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.35, f_measure: 0.9011, kb_relative_information_score: -21.7429, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0572, scimark_benchmark: 1335.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9011, kb_relative_information_score: 4.4941, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.884, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.35, f_measure: 0.9011, kb_relative_information_score: -21.7429, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0572, scimark_benchmark: 1353.0836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: 17.0132, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2674, root_relative_squared_error: 1.0504, scimark_benchmark: 1339.4412,
0 likes - 0 downloads - 0 reach - f_measure: 0.9011, kb_relative_information_score: -99.8042, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 1.2093, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.3049, root_relative_squared_error: 1.1976, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - f_measure: 0.9011, kb_relative_information_score: -99.8042, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 1.2093, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.3049, root_relative_squared_error: 1.1976, scimark_benchmark: 929.0363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.35, f_measure: 0.9011, kb_relative_information_score: -21.7429, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0572, scimark_benchmark: 1303.5632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.35, f_measure: 0.9011, kb_relative_information_score: -21.7429, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0572, scimark_benchmark: 908.2231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1857, f_measure: 0.9011, kb_relative_information_score: 8.9178, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.0681, scimark_benchmark: 1296.8947, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - f_measure: 0.9011, kb_relative_information_score: -99.8042, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 1.2093, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.3049, root_relative_squared_error: 1.1976, scimark_benchmark: 1346.2927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.35, f_measure: 0.9011, kb_relative_information_score: -21.7429, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0572, scimark_benchmark: 930.5999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.35, f_measure: 0.9011, kb_relative_information_score: -21.7429, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0572, scimark_benchmark: 1324.8408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.35, f_measure: 0.9011, kb_relative_information_score: -21.7429, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0572, scimark_benchmark: 1342.6744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4157, f_measure: 0.9011, kb_relative_information_score: -96.8297, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 1.1392, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2986, root_relative_squared_error: 1.1726, scimark_benchmark: 1318.6467,
0 likes - 0 downloads - 0 reach - f_measure: 0.9011, kb_relative_information_score: -99.8042, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 1.2093, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.3049, root_relative_squared_error: 1.1976, scimark_benchmark: 1335.6555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.35, f_measure: 0.9011, kb_relative_information_score: -21.7429, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0572, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.35, f_measure: 0.9011, kb_relative_information_score: -21.7429, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0572, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1857, f_measure: 0.9011, kb_relative_information_score: 8.9178, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2719, root_relative_squared_error: 1.0681, scimark_benchmark: 1316.5668, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9011, kb_relative_information_score: 4.4941, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.884, scimark_benchmark: 1303.9481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9011, kb_relative_information_score: 44.922, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.3953, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2582, root_relative_squared_error: 1.0141, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - f_measure: 0.9011, kb_relative_information_score: -99.8042, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 1.2093, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.3049, root_relative_squared_error: 1.1976, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.35, f_measure: 0.9011, kb_relative_information_score: -21.7429, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0572, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.35, f_measure: 0.9011, kb_relative_information_score: -21.7429, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0572, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: 24.171, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.6304, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2637, root_relative_squared_error: 1.0357, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.35, f_measure: 0.9011, kb_relative_information_score: -21.7429, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0572, scimark_benchmark: 1331.4379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: 17.0132, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2674, root_relative_squared_error: 1.0504, scimark_benchmark: 1345.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9011, kb_relative_information_score: 4.4941, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7562, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2251, root_relative_squared_error: 0.884, scimark_benchmark: 1345.6844,
0 likes - 0 downloads - 0 reach - f_measure: 0.9011, kb_relative_information_score: -99.8042, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 1.2093, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.3049, root_relative_squared_error: 1.1976, scimark_benchmark: 1326.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.35, f_measure: 0.9011, kb_relative_information_score: -21.7429, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0572, scimark_benchmark: 1350.7721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: 21.9955, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2647, root_relative_squared_error: 1.0396, scimark_benchmark: 1326.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.35, f_measure: 0.9011, kb_relative_information_score: -21.7429, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0572, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4157, f_measure: 0.9011, kb_relative_information_score: -96.8297, mean_absolute_error: 0.1921, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 1.1392, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2986, root_relative_squared_error: 1.1726, scimark_benchmark: 1339.4412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.0357, f_measure: 0.9011, kb_relative_information_score: 17.0132, mean_absolute_error: 0.1315, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.7798, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2674, root_relative_squared_error: 1.0504, scimark_benchmark: 1310.3168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9011, kb_relative_information_score: 44.922, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.3953, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2582, root_relative_squared_error: 1.0141, scimark_benchmark: 1322.5413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.9011, kb_relative_information_score: 3.582, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.6049, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2206, root_relative_squared_error: 0.8664, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - f_measure: 0.9011, kb_relative_information_score: -99.8042, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 1.2093, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.3049, root_relative_squared_error: 1.1976, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.35, f_measure: 0.9011, kb_relative_information_score: -21.7429, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0572, scimark_benchmark: 1393.1381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.35, f_measure: 0.9011, kb_relative_information_score: -21.7429, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.1686, number_of_instances: 150, precision: 0.8711, predictive_accuracy: 0.9333, prior_entropy: 0.5226, recall: 0.9333, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.2546, root_mean_squared_error: 0.2692, root_relative_squared_error: 1.0572, scimark_benchmark: 1336.0954,

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