Task
Supervised Classification on kr-vs-kp

Supervised Classification on kr-vs-kp

Task 1767 Supervised Classification kr-vs-kp 356 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 942.3809, usercpu_time_millis: 80, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9852, kappa: 0.9703, kb_relative_information_score: 14595.4763, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9852, predictive_accuracy: 0.9852, prior_entropy: 0.9986, recall: 0.9852, relative_absolute_error: 0.1021, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.121, root_relative_squared_error: 0.2422, scimark_benchmark: 942.8346, usercpu_time_millis: 741330, usercpu_time_millis_testing: 3690, usercpu_time_millis_training: 737640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9854, kappa: 0.9706, kb_relative_information_score: 15123.0184, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9986, recall: 0.9854, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.2199, scimark_benchmark: 946.9304, usercpu_time_millis: 240, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 922.5036, usercpu_time_millis: 70, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 945.0194, usercpu_time_millis: 90, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 945.0194, usercpu_time_millis: 80, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 922.5036, usercpu_time_millis: 80, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.9216, kappa: 0.8429, kb_relative_information_score: 13468.8342, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9217, predictive_accuracy: 0.9217, prior_entropy: 0.9986, recall: 0.9217, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.5604, scimark_benchmark: 944.5341, usercpu_time_millis: 4960, usercpu_time_millis_testing: 1770, usercpu_time_millis_training: 3190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.9216, kappa: 0.8429, kb_relative_information_score: 13468.8342, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9217, predictive_accuracy: 0.9217, prior_entropy: 0.9986, recall: 0.9217, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.5604, scimark_benchmark: 949.7766, usercpu_time_millis: 4460, usercpu_time_millis_testing: 1190, usercpu_time_millis_training: 3270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9621, kappa: 0.9241, kb_relative_information_score: 13179.145, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9626, predictive_accuracy: 0.9621, prior_entropy: 0.9986, recall: 0.9621, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.3745, scimark_benchmark: 922.9595, usercpu_time_millis: 590, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9553, kappa: 0.9105, kb_relative_information_score: 12724.2105, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9555, predictive_accuracy: 0.9553, prior_entropy: 0.9986, recall: 0.9553, relative_absolute_error: 0.2324, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.193, root_relative_squared_error: 0.3864, scimark_benchmark: 934.1885, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9904, kappa: 0.9807, kb_relative_information_score: 15559.2526, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.9986, recall: 0.9904, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.1932, scimark_benchmark: 899.1108, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.6583, kappa: 0.3833, kb_relative_information_score: 3575.3682, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.7911, predictive_accuracy: 0.684, prior_entropy: 0.9986, recall: 0.684, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.8618, scimark_benchmark: 931.7994, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9918, kappa: 0.9836, kb_relative_information_score: 12357.4024, mean_absolute_error: 0.14, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9918, predictive_accuracy: 0.9918, prior_entropy: 0.9986, recall: 0.9918, relative_absolute_error: 0.2806, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.335, scimark_benchmark: 936.7184, usercpu_time_millis: 15360, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 15340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9904, kappa: 0.9807, kb_relative_information_score: 15559.2526, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.9986, recall: 0.9904, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.1932, scimark_benchmark: 926.5859, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3583, kb_relative_information_score: 666.4466, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.2727, predictive_accuracy: 0.5222, prior_entropy: 0.9986, recall: 0.5222, relative_absolute_error: 0.9575, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6912, root_relative_squared_error: 1.3838, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.6233, kappa: 0.3396, kb_relative_information_score: 5320.3038, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.8015, predictive_accuracy: 0.6605, prior_entropy: 0.9986, recall: 0.6605, relative_absolute_error: 0.6636, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4723, root_relative_squared_error: 0.9456, scimark_benchmark: 935.6052, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.9047, kappa: 0.8092, kb_relative_information_score: 12503.3064, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9096, predictive_accuracy: 0.9053, prior_entropy: 0.9986, recall: 0.9053, relative_absolute_error: 0.2255, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.5824, scimark_benchmark: 935.6052, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9401, kappa: 0.8798, kb_relative_information_score: 13638.0198, mean_absolute_error: 0.0772, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9405, predictive_accuracy: 0.9401, prior_entropy: 0.9986, recall: 0.9401, relative_absolute_error: 0.1546, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.4439, scimark_benchmark: 940.0055, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9864, f_measure: 0.9397, kappa: 0.8792, kb_relative_information_score: 13993.6201, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9411, predictive_accuracy: 0.9399, prior_entropy: 0.9986, recall: 0.9399, relative_absolute_error: 0.1265, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.4357, scimark_benchmark: 936.1714, usercpu_time_millis: 400, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.9481, kappa: 0.8959, kb_relative_information_score: 14257.5125, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9484, predictive_accuracy: 0.9481, prior_entropy: 0.9986, recall: 0.9481, relative_absolute_error: 0.1092, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4118, scimark_benchmark: 936.1714, usercpu_time_millis: 820, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6996, f_measure: 0.6462, kappa: 0.3403, kb_relative_information_score: 2826.9031, mean_absolute_error: 0.4205, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.7223, predictive_accuracy: 0.6636, prior_entropy: 0.9986, recall: 0.6636, relative_absolute_error: 0.8427, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.4521, root_relative_squared_error: 0.9052, scimark_benchmark: 941.9549, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9393, kappa: 0.8784, kb_relative_information_score: 12977.7387, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9402, predictive_accuracy: 0.9394, prior_entropy: 0.9986, recall: 0.9394, relative_absolute_error: 0.2059, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2124, root_relative_squared_error: 0.4252, scimark_benchmark: 929.0296, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9468, kappa: 0.8934, kb_relative_information_score: 13505.444, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.947, predictive_accuracy: 0.9469, prior_entropy: 0.9986, recall: 0.9469, relative_absolute_error: 0.1678, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1975, root_relative_squared_error: 0.3955, scimark_benchmark: 926.5859, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.948, kappa: 0.8957, kb_relative_information_score: 13593.7852, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9481, predictive_accuracy: 0.948, prior_entropy: 0.9986, recall: 0.948, relative_absolute_error: 0.1614, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.3902, scimark_benchmark: 894.7131, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.948, kappa: 0.8957, kb_relative_information_score: 13593.7852, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9481, predictive_accuracy: 0.948, prior_entropy: 0.9986, recall: 0.948, relative_absolute_error: 0.1614, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.3902, scimark_benchmark: 929.0296, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.948, kappa: 0.8957, kb_relative_information_score: 13593.7852, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9481, predictive_accuracy: 0.948, prior_entropy: 0.9986, recall: 0.948, relative_absolute_error: 0.1614, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.3902, scimark_benchmark: 926.5859, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.948, kappa: 0.8957, kb_relative_information_score: 13593.7852, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9481, predictive_accuracy: 0.948, prior_entropy: 0.9986, recall: 0.948, relative_absolute_error: 0.1614, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.3902, scimark_benchmark: 926.5859, usercpu_time_millis: 170, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9909, kappa: 0.9818, kb_relative_information_score: 14284.9999, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9909, predictive_accuracy: 0.9909, prior_entropy: 0.9986, recall: 0.9909, relative_absolute_error: 0.1261, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1314, root_relative_squared_error: 0.263, scimark_benchmark: 894.7131, usercpu_time_millis: 3360, usercpu_time_millis_testing: 700, usercpu_time_millis_training: 2660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9867, kappa: 0.9734, kb_relative_information_score: 14288.8794, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9867, predictive_accuracy: 0.9867, prior_entropy: 0.9986, recall: 0.9867, relative_absolute_error: 0.1262, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1301, root_relative_squared_error: 0.2604, scimark_benchmark: 939.7883, usercpu_time_millis: 7090, usercpu_time_millis_testing: 1360, usercpu_time_millis_training: 5730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9913, kappa: 0.9826, kb_relative_information_score: 14392.8534, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9986, recall: 0.9913, relative_absolute_error: 0.12, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1219, root_relative_squared_error: 0.244, scimark_benchmark: 928.7131, usercpu_time_millis: 18020, usercpu_time_millis_testing: 6300, usercpu_time_millis_training: 11720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9912, kappa: 0.9823, kb_relative_information_score: 14358.8087, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9912, predictive_accuracy: 0.9912, prior_entropy: 0.9986, recall: 0.9912, relative_absolute_error: 0.1227, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.245, scimark_benchmark: 901.6243, usercpu_time_millis: 34450, usercpu_time_millis_testing: 12540, usercpu_time_millis_training: 21910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9913, kappa: 0.9826, kb_relative_information_score: 14391.6628, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9986, recall: 0.9913, relative_absolute_error: 0.1208, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.2394, scimark_benchmark: 851.2074, usercpu_time_millis: 80430, usercpu_time_millis_testing: 39750, usercpu_time_millis_training: 40680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9857, kappa: 0.9714, kb_relative_information_score: 13964.7269, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9858, predictive_accuracy: 0.9857, prior_entropy: 0.9986, recall: 0.9857, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.2684, scimark_benchmark: 901.4991, usercpu_time_millis: 650, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 932.438, usercpu_time_millis: 90, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9852, kappa: 0.9703, kb_relative_information_score: 14595.4835, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9852, predictive_accuracy: 0.9852, prior_entropy: 0.9986, recall: 0.9852, relative_absolute_error: 0.1021, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.121, root_relative_squared_error: 0.2422, scimark_benchmark: 730.6551, usercpu_time_millis: 418080, usercpu_time_millis_testing: 2740, usercpu_time_millis_training: 415340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9854, kappa: 0.9706, kb_relative_information_score: 15123.0184, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9986, recall: 0.9854, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.2199, scimark_benchmark: 941.4991, usercpu_time_millis: 240, usercpu_time_millis_training: 240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 933.3455, usercpu_time_millis: 80, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 903.2737, usercpu_time_millis: 80, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.9216, kappa: 0.8429, kb_relative_information_score: 13468.8342, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9217, predictive_accuracy: 0.9217, prior_entropy: 0.9986, recall: 0.9217, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.5604, scimark_benchmark: 935.5664, usercpu_time_millis: 4750, usercpu_time_millis_testing: 1830, usercpu_time_millis_training: 2920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9621, kappa: 0.9241, kb_relative_information_score: 13179.145, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9626, predictive_accuracy: 0.9621, prior_entropy: 0.9986, recall: 0.9621, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.3745, scimark_benchmark: 936.2574, usercpu_time_millis: 580, usercpu_time_millis_training: 580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9553, kappa: 0.9105, kb_relative_information_score: 12724.2105, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9555, predictive_accuracy: 0.9553, prior_entropy: 0.9986, recall: 0.9553, relative_absolute_error: 0.2324, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.193, root_relative_squared_error: 0.3864, scimark_benchmark: 935.2002, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9904, kappa: 0.9807, kb_relative_information_score: 15559.2526, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.9986, recall: 0.9904, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.1932, scimark_benchmark: 819.5729, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9857, kappa: 0.9714, kb_relative_information_score: 13964.7269, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9858, predictive_accuracy: 0.9857, prior_entropy: 0.9986, recall: 0.9857, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.2684, scimark_benchmark: 943.1009, usercpu_time_millis: 610, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9786, kappa: 0.9571, kb_relative_information_score: 15177.1705, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9786, predictive_accuracy: 0.9786, prior_entropy: 0.9986, recall: 0.9786, relative_absolute_error: 0.0521, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.2792, scimark_benchmark: 938.5498, usercpu_time_millis: 8220, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 8200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 941.3847, usercpu_time_millis: 80, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.9216, kappa: 0.8429, kb_relative_information_score: 13468.8342, mean_absolute_error: 0.0783, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9217, predictive_accuracy: 0.9217, prior_entropy: 0.9986, recall: 0.9217, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2799, root_relative_squared_error: 0.5604, scimark_benchmark: 932.438, usercpu_time_millis: 4660, usercpu_time_millis_testing: 1630, usercpu_time_millis_training: 3030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9857, kappa: 0.9714, kb_relative_information_score: 13964.7269, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9858, predictive_accuracy: 0.9857, prior_entropy: 0.9986, recall: 0.9857, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1341, root_relative_squared_error: 0.2684, scimark_benchmark: 931.771, usercpu_time_millis: 610, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9854, kappa: 0.9706, kb_relative_information_score: 15123.0184, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9986, recall: 0.9854, relative_absolute_error: 0.06, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.2199, scimark_benchmark: 941.6675, usercpu_time_millis: 350, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 938.191, usercpu_time_millis: 100, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 941.6675, usercpu_time_millis: 150, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9078, kappa: 0.8152, kb_relative_information_score: 10566.4773, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9089, predictive_accuracy: 0.908, prior_entropy: 0.9986, recall: 0.908, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.5458, scimark_benchmark: 941.6675, usercpu_time_millis: 80, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9621, kappa: 0.9241, kb_relative_information_score: 13179.145, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9626, predictive_accuracy: 0.9621, prior_entropy: 0.9986, recall: 0.9621, relative_absolute_error: 0.2041, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.3745, scimark_benchmark: 851.2074, usercpu_time_millis: 890, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9553, kappa: 0.9105, kb_relative_information_score: 12724.2105, mean_absolute_error: 0.116, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9555, predictive_accuracy: 0.9553, prior_entropy: 0.9986, recall: 0.9553, relative_absolute_error: 0.2324, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.193, root_relative_squared_error: 0.3864, scimark_benchmark: 972.587, usercpu_time_millis: 180, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9904, kappa: 0.9807, kb_relative_information_score: 15559.2526, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.499, number_of_instances: 15980, precision: 0.9904, predictive_accuracy: 0.9904, prior_entropy: 0.9986, recall: 0.9904, relative_absolute_error: 0.0287, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.1932, scimark_benchmark: 906.0979,

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