Task
Supervised Classification on fri_c3_500_50

Supervised Classification on fri_c3_500_50

Task 4505 Supervised Classification fri_c3_500_50 225 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6929, f_measure: 0.6328, kappa: 0.2515, kb_relative_information_score: 937.0156, mean_absolute_error: 0.4048, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.6321, predictive_accuracy: 0.634, prior_entropy: 0.9882, recall: 0.634, relative_absolute_error: 0.823, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4804, root_relative_squared_error: 0.9688, scimark_benchmark: 1334.863, usercpu_time_millis: 360, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8422, kappa: 0.6785, kb_relative_information_score: 2843.677, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8426, predictive_accuracy: 0.8428, prior_entropy: 0.9882, recall: 0.8428, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.6913, scimark_benchmark: 1322.806, usercpu_time_millis: 210, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8697, f_measure: 0.8301, kappa: 0.6539, kb_relative_information_score: 2736.076, mean_absolute_error: 0.2341, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8302, predictive_accuracy: 0.8306, prior_entropy: 0.9882, recall: 0.8306, relative_absolute_error: 0.4761, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3676, root_relative_squared_error: 0.7413, scimark_benchmark: 1367.3264, usercpu_time_millis: 330, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8188, kappa: 0.6314, kb_relative_information_score: 2658.1619, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8187, predictive_accuracy: 0.8188, prior_entropy: 0.9882, recall: 0.8188, relative_absolute_error: 0.4904, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7251, scimark_benchmark: 1320.8283, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 1336.0954, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.832, kappa: 0.658, kb_relative_information_score: 2863.7138, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8319, predictive_accuracy: 0.8322, prior_entropy: 0.9882, recall: 0.8322, relative_absolute_error: 0.4447, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7383, scimark_benchmark: 1296.9979, usercpu_time_millis: 590, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.94, f_measure: 0.8694, kappa: 0.7336, kb_relative_information_score: 2645.0687, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.871, predictive_accuracy: 0.8702, prior_entropy: 0.9882, recall: 0.8702, relative_absolute_error: 0.515, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3195, root_relative_squared_error: 0.6442, scimark_benchmark: 1292.514, usercpu_time_millis: 860, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.612, f_measure: 0.6214, kappa: 0.227, kb_relative_information_score: 1160.0556, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.6211, predictive_accuracy: 0.625, prior_entropy: 0.9882, recall: 0.625, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2349, scimark_benchmark: 1320.0563, usercpu_time_millis: 270, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.612, f_measure: 0.6214, kappa: 0.227, kb_relative_information_score: 1160.0556, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.6211, predictive_accuracy: 0.625, prior_entropy: 0.9882, recall: 0.625, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2349, scimark_benchmark: 1311.7006, usercpu_time_millis: 290, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8188, kappa: 0.6314, kb_relative_information_score: 2658.1619, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8187, predictive_accuracy: 0.8188, prior_entropy: 0.9882, recall: 0.8188, relative_absolute_error: 0.4904, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7251, scimark_benchmark: 1322.7257, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 1347.993, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.832, kappa: 0.658, kb_relative_information_score: 2863.7138, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8319, predictive_accuracy: 0.8322, prior_entropy: 0.9882, recall: 0.8322, relative_absolute_error: 0.4447, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7383, scimark_benchmark: 940.3347, usercpu_time_millis: 640, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.612, f_measure: 0.6214, kappa: 0.227, kb_relative_information_score: 1160.0556, mean_absolute_error: 0.375, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.6211, predictive_accuracy: 0.625, prior_entropy: 0.9882, recall: 0.625, relative_absolute_error: 0.7624, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6124, root_relative_squared_error: 1.2349, scimark_benchmark: 1315.933, usercpu_time_millis: 300, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8188, kappa: 0.6314, kb_relative_information_score: 2658.1619, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8187, predictive_accuracy: 0.8188, prior_entropy: 0.9882, recall: 0.8188, relative_absolute_error: 0.4904, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7251, scimark_benchmark: 932.5646, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 1341.5795, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 918.0213, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 938.0414, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8188, kappa: 0.6314, kb_relative_information_score: 2658.1619, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8187, predictive_accuracy: 0.8188, prior_entropy: 0.9882, recall: 0.8188, relative_absolute_error: 0.4904, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7251, scimark_benchmark: 1345.7204, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 1345.7204, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 1345.7204, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.8458, kappa: 0.6857, kb_relative_information_score: 2358.079, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8463, predictive_accuracy: 0.8464, prior_entropy: 0.9882, recall: 0.8464, relative_absolute_error: 0.5676, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7112, scimark_benchmark: 1295.0797, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8188, kappa: 0.6314, kb_relative_information_score: 2658.1619, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8187, predictive_accuracy: 0.8188, prior_entropy: 0.9882, recall: 0.8188, relative_absolute_error: 0.4904, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7251, scimark_benchmark: 1315.933, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 933.1165, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 933.1165, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 933.1165, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.8525, kappa: 0.699, kb_relative_information_score: 2598.9934, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8539, predictive_accuracy: 0.8534, prior_entropy: 0.9882, recall: 0.8534, relative_absolute_error: 0.5173, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6727, scimark_benchmark: 933.1165, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8337, kappa: 0.6604, kb_relative_information_score: 1469.0903, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8373, predictive_accuracy: 0.8354, prior_entropy: 0.9882, recall: 0.8354, relative_absolute_error: 0.7543, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.7959, scimark_benchmark: 1315.933, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 1322.7383, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 1350.073, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 1322.7383, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.8188, kappa: 0.6314, kb_relative_information_score: 2658.1619, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8187, predictive_accuracy: 0.8188, prior_entropy: 0.9882, recall: 0.8188, relative_absolute_error: 0.4904, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3596, root_relative_squared_error: 0.7251, scimark_benchmark: 933.1165, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 933.1165, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8916, f_measure: 0.8237, kappa: 0.6412, kb_relative_information_score: 2685.0479, mean_absolute_error: 0.2384, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8236, predictive_accuracy: 0.8238, prior_entropy: 0.9882, recall: 0.8238, relative_absolute_error: 0.4847, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7216, scimark_benchmark: 1354.7191, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6044, f_measure: 0.5729, kappa: 0.1295, kb_relative_information_score: 645.3617, mean_absolute_error: 0.4252, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.572, predictive_accuracy: 0.5744, prior_entropy: 0.9882, recall: 0.5744, relative_absolute_error: 0.8646, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6304, root_relative_squared_error: 1.2712, scimark_benchmark: 1368.9272, usercpu_time_millis: 33090, usercpu_time_millis_testing: 33090,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5136, f_measure: 0.5224, kappa: 0.0274, kb_relative_information_score: 117.7682, mean_absolute_error: 0.4768, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.5217, predictive_accuracy: 0.5232, prior_entropy: 0.9882, recall: 0.5232, relative_absolute_error: 0.9694, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6905, root_relative_squared_error: 1.3925, scimark_benchmark: 1307.3269, usercpu_time_millis: 210, usercpu_time_millis_testing: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.6347, kappa: 0.3175, kb_relative_information_score: 899.4812, mean_absolute_error: 0.4076, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.7042, predictive_accuracy: 0.6438, prior_entropy: 0.9882, recall: 0.6438, relative_absolute_error: 0.8287, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4628, root_relative_squared_error: 0.9333, scimark_benchmark: 923.6051, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, f_measure: 0.8406, kappa: 0.6758, kb_relative_information_score: 2744.8136, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8405, predictive_accuracy: 0.8406, prior_entropy: 0.9882, recall: 0.8406, relative_absolute_error: 0.4773, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3487, root_relative_squared_error: 0.7033, scimark_benchmark: 1321.8733, usercpu_time_millis: 19420, usercpu_time_millis_training: 19420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.8458, kappa: 0.6857, kb_relative_information_score: 2358.079, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8463, predictive_accuracy: 0.8464, prior_entropy: 0.9882, recall: 0.8464, relative_absolute_error: 0.5676, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7112, scimark_benchmark: 1330.7266, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6127, f_measure: 0.6052, kappa: 0.2163, kb_relative_information_score: 437.6755, mean_absolute_error: 0.4543, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.6192, predictive_accuracy: 0.6042, prior_entropy: 0.9882, recall: 0.6042, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.4869, root_relative_squared_error: 0.982, scimark_benchmark: 932.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6057, f_measure: 0.6122, kappa: 0.2114, kb_relative_information_score: 1029.0018, mean_absolute_error: 0.3878, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.6121, predictive_accuracy: 0.6122, prior_entropy: 0.9882, recall: 0.6122, relative_absolute_error: 0.7885, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6227, root_relative_squared_error: 1.2558, scimark_benchmark: 1321.7236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6514, f_measure: 0.6235, kappa: 0.2379, kb_relative_information_score: 747.5146, mean_absolute_error: 0.4222, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.6256, predictive_accuracy: 0.6224, prior_entropy: 0.9882, recall: 0.6224, relative_absolute_error: 0.8584, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5069, root_relative_squared_error: 1.0222, scimark_benchmark: 918.6005, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8422, kappa: 0.6785, kb_relative_information_score: 2843.677, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8426, predictive_accuracy: 0.8428, prior_entropy: 0.9882, recall: 0.8428, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.6913, scimark_benchmark: 918.6005, usercpu_time_millis: 260, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9046, f_measure: 0.8422, kappa: 0.6785, kb_relative_information_score: 2843.677, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8426, predictive_accuracy: 0.8428, prior_entropy: 0.9882, recall: 0.8428, relative_absolute_error: 0.4564, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3428, root_relative_squared_error: 0.6913, scimark_benchmark: 918.6005, usercpu_time_millis: 270, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, f_measure: 0.8228, kappa: 0.6383, kb_relative_information_score: 1762.1204, mean_absolute_error: 0.3423, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.826, predictive_accuracy: 0.8246, prior_entropy: 0.9882, recall: 0.8246, relative_absolute_error: 0.696, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.377, root_relative_squared_error: 0.7602, scimark_benchmark: 1315.1549, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9162, f_measure: 0.8413, kappa: 0.6765, kb_relative_information_score: 2909.3403, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8416, predictive_accuracy: 0.8418, prior_entropy: 0.9882, recall: 0.8418, relative_absolute_error: 0.4379, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.338, root_relative_squared_error: 0.6816, scimark_benchmark: 1345.8373, usercpu_time_millis: 140, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9215, f_measure: 0.8525, kappa: 0.699, kb_relative_information_score: 2598.9934, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8539, predictive_accuracy: 0.8534, prior_entropy: 0.9882, recall: 0.8534, relative_absolute_error: 0.5173, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3336, root_relative_squared_error: 0.6727, scimark_benchmark: 1308.3503, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8826, f_measure: 0.832, kappa: 0.658, kb_relative_information_score: 2863.7138, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8319, predictive_accuracy: 0.8322, prior_entropy: 0.9882, recall: 0.8322, relative_absolute_error: 0.4447, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7383, scimark_benchmark: 885.0921, usercpu_time_millis: 630, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.8458, kappa: 0.6857, kb_relative_information_score: 2358.079, mean_absolute_error: 0.2792, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8463, predictive_accuracy: 0.8464, prior_entropy: 0.9882, recall: 0.8464, relative_absolute_error: 0.5676, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7112, scimark_benchmark: 885.0921, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, f_measure: 0.8381, kappa: 0.6698, kb_relative_information_score: 2732.661, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8387, predictive_accuracy: 0.8388, prior_entropy: 0.9882, recall: 0.8388, relative_absolute_error: 0.4802, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3373, root_relative_squared_error: 0.6802, scimark_benchmark: 1369.9744, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.898, f_measure: 0.8225, kappa: 0.6377, kb_relative_information_score: 2324.1977, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8238, predictive_accuracy: 0.8236, prior_entropy: 0.9882, recall: 0.8236, relative_absolute_error: 0.5706, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3571, root_relative_squared_error: 0.7202, scimark_benchmark: 937.1527, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.8672, kappa: 0.7291, kb_relative_information_score: 2639.5351, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8686, predictive_accuracy: 0.868, prior_entropy: 0.9882, recall: 0.868, relative_absolute_error: 0.5149, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6484, scimark_benchmark: 887.6719, usercpu_time_millis: 430, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.8601, kappa: 0.7146, kb_relative_information_score: 2605.7956, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8617, predictive_accuracy: 0.861, prior_entropy: 0.9882, recall: 0.861, relative_absolute_error: 0.52, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.6597, scimark_benchmark: 925.4974, usercpu_time_millis: 200, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.8492, kappa: 0.6927, kb_relative_information_score: 3201.6946, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8494, predictive_accuracy: 0.8496, prior_entropy: 0.9882, recall: 0.8496, relative_absolute_error: 0.3745, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3629, root_relative_squared_error: 0.7318, scimark_benchmark: 912.7324, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.8624, kappa: 0.7197, kb_relative_information_score: 3364.6902, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8626, predictive_accuracy: 0.8628, prior_entropy: 0.9882, recall: 0.8628, relative_absolute_error: 0.3371, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6473, scimark_benchmark: 1325.2092, usercpu_time_millis: 1520, usercpu_time_millis_training: 1520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9321, f_measure: 0.8594, kappa: 0.7135, kb_relative_information_score: 3216.8252, mean_absolute_error: 0.1833, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.86, predictive_accuracy: 0.86, prior_entropy: 0.9882, recall: 0.86, relative_absolute_error: 0.3727, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6402, scimark_benchmark: 939.5205, usercpu_time_millis: 740, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.8464, kappa: 0.6867, kb_relative_information_score: 2936.3195, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8479, predictive_accuracy: 0.8474, prior_entropy: 0.9882, recall: 0.8474, relative_absolute_error: 0.4354, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3293, root_relative_squared_error: 0.664, scimark_benchmark: 1372.2145, usercpu_time_millis: 360, usercpu_time_millis_training: 360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9076, f_measure: 0.8271, kappa: 0.6478, kb_relative_information_score: 2552.1674, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.8272, predictive_accuracy: 0.8276, prior_entropy: 0.9882, recall: 0.8276, relative_absolute_error: 0.5192, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3468, root_relative_squared_error: 0.6994, scimark_benchmark: 929.0363, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.7989, kappa: 0.59, kb_relative_information_score: 1973.3773, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.7993, predictive_accuracy: 0.7998, prior_entropy: 0.9882, recall: 0.7998, relative_absolute_error: 0.6403, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.3798, root_relative_squared_error: 0.766, scimark_benchmark: 1336.3256, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.5604, kappa: 0.1027, kb_relative_information_score: 390.5518, mean_absolute_error: 0.4537, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.5602, predictive_accuracy: 0.568, prior_entropy: 0.9882, recall: 0.568, relative_absolute_error: 0.9224, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5121, root_relative_squared_error: 1.0327, scimark_benchmark: 883.2709, usercpu_time_millis: 210, usercpu_time_millis_testing: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5468, f_measure: 0.5418, kappa: 0.0646, kb_relative_information_score: 280.9564, mean_absolute_error: 0.4623, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.5406, predictive_accuracy: 0.5482, prior_entropy: 0.9882, recall: 0.5482, relative_absolute_error: 0.9398, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.5559, root_relative_squared_error: 1.1211, scimark_benchmark: 1442.7264, usercpu_time_millis: 230, usercpu_time_millis_testing: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5289, f_measure: 0.5317, kappa: 0.057, kb_relative_information_score: 185.3428, mean_absolute_error: 0.4702, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.5366, predictive_accuracy: 0.5298, prior_entropy: 0.9882, recall: 0.5298, relative_absolute_error: 0.956, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6857, root_relative_squared_error: 1.3828, scimark_benchmark: 940.3347, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4068, kb_relative_information_score: 535.5023, mean_absolute_error: 0.436, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.3181, predictive_accuracy: 0.564, prior_entropy: 0.9882, recall: 0.564, relative_absolute_error: 0.8865, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.6603, root_relative_squared_error: 1.3316, scimark_benchmark: 1325.2092, usercpu_time_millis: 220, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6335, f_measure: 0.6405, kappa: 0.2679, kb_relative_information_score: 1325.9206, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4918, number_of_instances: 5000, precision: 0.6401, predictive_accuracy: 0.6412, prior_entropy: 0.9882, recall: 0.6412, relative_absolute_error: 0.7295, root_mean_prior_squared_error: 0.4959, root_mean_squared_error: 0.599, root_relative_squared_error: 1.2079, scimark_benchmark: 825.5282, usercpu_time_millis: 100, usercpu_time_millis_training: 100,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs