Task
Supervised Classification on arrhythmia

Supervised Classification on arrhythmia

Task 235 Supervised Classification arrhythmia 307 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.7007, kappa: 0.6088, kb_relative_information_score: 77.9786, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6897, predictive_accuracy: 0.7383, prior_entropy: 2.5222, recall: 0.7383, relative_absolute_error: 0.5252, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.8051, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.6101, kappa: 0.4913, kb_relative_information_score: 67.5503, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.595, predictive_accuracy: 0.6577, prior_entropy: 2.5222, recall: 0.6577, relative_absolute_error: 0.6101, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.8714, scimark_benchmark: 851.2074, usercpu_time_millis: 5730, usercpu_time_millis_training: 5730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3371, kb_relative_information_score: 24.6825, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.2534, predictive_accuracy: 0.5034, prior_entropy: 2.5222, recall: 0.5034, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2492, root_relative_squared_error: 1.1807, scimark_benchmark: 941.6675, usercpu_time_millis: 4070, usercpu_time_millis_testing: 910, usercpu_time_millis_training: 3160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.66, kappa: 0.5401, kb_relative_information_score: 81.3277, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6661, predictive_accuracy: 0.7047, prior_entropy: 2.5222, recall: 0.7047, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.8514, scimark_benchmark: 938.191, usercpu_time_millis: 2400, usercpu_time_millis_testing: 1990, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.66, kappa: 0.5401, kb_relative_information_score: 81.3277, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6661, predictive_accuracy: 0.7047, prior_entropy: 2.5222, recall: 0.7047, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.8514, scimark_benchmark: 938.191, usercpu_time_millis: 2330, usercpu_time_millis_testing: 1920, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.632, kappa: 0.5074, kb_relative_information_score: 70.876, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6564, predictive_accuracy: 0.6913, prior_entropy: 2.5222, recall: 0.6913, relative_absolute_error: 0.6335, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.167, root_relative_squared_error: 0.7914, scimark_benchmark: 941.6675, usercpu_time_millis: 1120, usercpu_time_millis_training: 1120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.66, kappa: 0.5401, kb_relative_information_score: 81.3277, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6661, predictive_accuracy: 0.7047, prior_entropy: 2.5222, recall: 0.7047, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.8514, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.5552, kappa: 0.3592, kb_relative_information_score: 59.8256, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6, predictive_accuracy: 0.6376, prior_entropy: 2.5222, recall: 0.6376, relative_absolute_error: 0.7383, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.8349, scimark_benchmark: 931.771, usercpu_time_millis: 490, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3371, kb_relative_information_score: 24.6825, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.2534, predictive_accuracy: 0.5034, prior_entropy: 2.5222, recall: 0.5034, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2492, root_relative_squared_error: 1.1807, scimark_benchmark: 937.5117, usercpu_time_millis: 3400, usercpu_time_millis_testing: 960, usercpu_time_millis_training: 2440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.6543, kappa: 0.5299, kb_relative_information_score: 81.3473, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6597, predictive_accuracy: 0.698, prior_entropy: 2.5222, recall: 0.698, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.8546, scimark_benchmark: 974.2014, usercpu_time_millis: 200, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.66, kappa: 0.5401, kb_relative_information_score: 81.3277, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6661, predictive_accuracy: 0.7047, prior_entropy: 2.5222, recall: 0.7047, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.8514, scimark_benchmark: 941.3847, usercpu_time_millis: 1800, usercpu_time_millis_testing: 1530, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7272, f_measure: 0.5496, kappa: 0.3788, kb_relative_information_score: 61.0025, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.5649, predictive_accuracy: 0.5906, prior_entropy: 2.5222, recall: 0.5906, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2218, root_relative_squared_error: 1.0512, scimark_benchmark: 938.5498, usercpu_time_millis: 487980, usercpu_time_millis_testing: 1050, usercpu_time_millis_training: 486930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.5552, kappa: 0.3592, kb_relative_information_score: 59.8256, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6, predictive_accuracy: 0.6376, prior_entropy: 2.5222, recall: 0.6376, relative_absolute_error: 0.7383, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.8349, scimark_benchmark: 943.1009, usercpu_time_millis: 540, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.7007, kappa: 0.6088, kb_relative_information_score: 77.9786, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6897, predictive_accuracy: 0.7383, prior_entropy: 2.5222, recall: 0.7383, relative_absolute_error: 0.5252, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.8051, scimark_benchmark: 819.5729, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.6101, kappa: 0.4913, kb_relative_information_score: 67.5503, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.595, predictive_accuracy: 0.6577, prior_entropy: 2.5222, recall: 0.6577, relative_absolute_error: 0.6101, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.8714, scimark_benchmark: 936.2574, usercpu_time_millis: 5180, usercpu_time_millis_training: 5180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3371, kb_relative_information_score: 24.6825, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.2534, predictive_accuracy: 0.5034, prior_entropy: 2.5222, recall: 0.5034, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2492, root_relative_squared_error: 1.1807, scimark_benchmark: 859.5223, usercpu_time_millis: 3230, usercpu_time_millis_testing: 700, usercpu_time_millis_training: 2530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.66, kappa: 0.5401, kb_relative_information_score: 81.3277, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6661, predictive_accuracy: 0.7047, prior_entropy: 2.5222, recall: 0.7047, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.8514, scimark_benchmark: 938.1282, usercpu_time_millis: 1990, usercpu_time_millis_testing: 1720, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.66, kappa: 0.5401, kb_relative_information_score: 81.3277, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6661, predictive_accuracy: 0.7047, prior_entropy: 2.5222, recall: 0.7047, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.8514, scimark_benchmark: 903.2737, usercpu_time_millis: 2170, usercpu_time_millis_testing: 1850, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.66, kappa: 0.5401, kb_relative_information_score: 81.3277, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6661, predictive_accuracy: 0.7047, prior_entropy: 2.5222, recall: 0.7047, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.8514, scimark_benchmark: 933.3455, usercpu_time_millis: 2000, usercpu_time_millis_testing: 1700, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.632, kappa: 0.5074, kb_relative_information_score: 70.876, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6564, predictive_accuracy: 0.6913, prior_entropy: 2.5222, recall: 0.6913, relative_absolute_error: 0.6335, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.167, root_relative_squared_error: 0.7914, scimark_benchmark: 941.4991, usercpu_time_millis: 790, usercpu_time_millis_training: 790,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.66, kappa: 0.5401, kb_relative_information_score: 81.3277, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6661, predictive_accuracy: 0.7047, prior_entropy: 2.5222, recall: 0.7047, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.8514, scimark_benchmark: 944.0133, usercpu_time_millis: 2180, usercpu_time_millis_testing: 1810, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7272, f_measure: 0.5496, kappa: 0.3788, kb_relative_information_score: 61.0025, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.5649, predictive_accuracy: 0.5906, prior_entropy: 2.5222, recall: 0.5906, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2218, root_relative_squared_error: 1.0512, scimark_benchmark: 935.5664, usercpu_time_millis: 451880, usercpu_time_millis_testing: 1040, usercpu_time_millis_training: 450840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.5552, kappa: 0.3592, kb_relative_information_score: 59.8256, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6, predictive_accuracy: 0.6376, prior_entropy: 2.5222, recall: 0.6376, relative_absolute_error: 0.7383, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.8349, scimark_benchmark: 936.9595, usercpu_time_millis: 540, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8952, f_measure: 0.7, kappa: 0.6078, kb_relative_information_score: 79.8011, mean_absolute_error: 0.051, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6853, predictive_accuracy: 0.745, prior_entropy: 2.5222, recall: 0.745, relative_absolute_error: 0.5811, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.7353, scimark_benchmark: 1171.0303, usercpu_time_millis: 166860, usercpu_time_millis_testing: 42990, usercpu_time_millis_training: 123870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8942, f_measure: 0.7226, kappa: 0.6448, kb_relative_information_score: 80.5535, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6986, predictive_accuracy: 0.7651, prior_entropy: 2.5222, recall: 0.7651, relative_absolute_error: 0.5701, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.7302, scimark_benchmark: 938.4601, usercpu_time_millis: 63690, usercpu_time_millis_testing: 17710, usercpu_time_millis_training: 45980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.6868, kappa: 0.5884, kb_relative_information_score: 81.1932, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6728, predictive_accuracy: 0.7315, prior_entropy: 2.5222, recall: 0.7315, relative_absolute_error: 0.5669, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1546, root_relative_squared_error: 0.7327, scimark_benchmark: 944.235, usercpu_time_millis: 31220, usercpu_time_millis_testing: 8900, usercpu_time_millis_training: 22320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.877, f_measure: 0.7047, kappa: 0.6183, kb_relative_information_score: 79.4744, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6921, predictive_accuracy: 0.745, prior_entropy: 2.5222, recall: 0.745, relative_absolute_error: 0.5757, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1561, root_relative_squared_error: 0.7397, scimark_benchmark: 939.7883, usercpu_time_millis: 15440, usercpu_time_millis_testing: 3710, usercpu_time_millis_training: 11730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.6962, kappa: 0.5982, kb_relative_information_score: 78.087, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6958, predictive_accuracy: 0.745, prior_entropy: 2.5222, recall: 0.745, relative_absolute_error: 0.5824, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1606, root_relative_squared_error: 0.7612, scimark_benchmark: 889.4922, usercpu_time_millis: 10280, usercpu_time_millis_testing: 1800, usercpu_time_millis_training: 8480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3371, kb_relative_information_score: 1.2796, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.2534, predictive_accuracy: 0.5034, prior_entropy: 2.5222, recall: 0.5034, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2113, root_relative_squared_error: 1.0011, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6774, f_measure: 0.4022, kappa: 0.1977, kb_relative_information_score: -12.4871, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.3292, predictive_accuracy: 0.5235, prior_entropy: 2.5222, recall: 0.5235, relative_absolute_error: 1.305, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2369, root_relative_squared_error: 1.1227, scimark_benchmark: 938.3115, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6774, f_measure: 0.4022, kappa: 0.1977, kb_relative_information_score: -12.4871, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.3292, predictive_accuracy: 0.5235, prior_entropy: 2.5222, recall: 0.5235, relative_absolute_error: 1.305, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2369, root_relative_squared_error: 1.1227, scimark_benchmark: 936.1714, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6774, f_measure: 0.4022, kappa: 0.1977, kb_relative_information_score: -12.4871, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.3292, predictive_accuracy: 0.5235, prior_entropy: 2.5222, recall: 0.5235, relative_absolute_error: 1.305, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2369, root_relative_squared_error: 1.1227, scimark_benchmark: 940.0055, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6774, f_measure: 0.4022, kappa: 0.1977, kb_relative_information_score: -12.4871, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.3292, predictive_accuracy: 0.5235, prior_entropy: 2.5222, recall: 0.5235, relative_absolute_error: 1.305, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2369, root_relative_squared_error: 1.1227, scimark_benchmark: 938.3115, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6774, f_measure: 0.4022, kappa: 0.1977, kb_relative_information_score: -12.4871, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.3292, predictive_accuracy: 0.5235, prior_entropy: 2.5222, recall: 0.5235, relative_absolute_error: 1.305, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2369, root_relative_squared_error: 1.1227, scimark_benchmark: 935.6052, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3371, kb_relative_information_score: 24.6825, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.2534, predictive_accuracy: 0.5034, prior_entropy: 2.5222, recall: 0.5034, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2492, root_relative_squared_error: 1.1807, scimark_benchmark: 938.3115,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8417, f_measure: 0.6801, kappa: 0.5752, kb_relative_information_score: 79.1486, mean_absolute_error: 0.047, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6708, predictive_accuracy: 0.7114, prior_entropy: 2.5222, recall: 0.7114, relative_absolute_error: 0.5345, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.802, scimark_benchmark: 933.0918, usercpu_time_millis: 24930, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 24890,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.6543, kappa: 0.5299, kb_relative_information_score: 81.3473, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6597, predictive_accuracy: 0.698, prior_entropy: 2.5222, recall: 0.698, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.8546, scimark_benchmark: 1327.3335, usercpu_time_millis: 180, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.66, kappa: 0.5401, kb_relative_information_score: 81.3277, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6661, predictive_accuracy: 0.7047, prior_entropy: 2.5222, recall: 0.7047, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.8514, scimark_benchmark: 1332.9478, usercpu_time_millis: 1960, usercpu_time_millis_testing: 1760, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.66, kappa: 0.5401, kb_relative_information_score: 81.3277, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6661, predictive_accuracy: 0.7047, prior_entropy: 2.5222, recall: 0.7047, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.8514, scimark_benchmark: 1309.2287, usercpu_time_millis: 1820, usercpu_time_millis_testing: 1560, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.66, kappa: 0.5401, kb_relative_information_score: 81.3277, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6661, predictive_accuracy: 0.7047, prior_entropy: 2.5222, recall: 0.7047, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.8514, scimark_benchmark: 1313.11, usercpu_time_millis: 1230, usercpu_time_millis_testing: 1100, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.66, kappa: 0.5401, kb_relative_information_score: 81.3277, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6661, predictive_accuracy: 0.7047, prior_entropy: 2.5222, recall: 0.7047, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.8514, scimark_benchmark: 1350.7721, usercpu_time_millis: 1270, usercpu_time_millis_testing: 1140, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7272, f_measure: 0.5496, kappa: 0.3788, kb_relative_information_score: 61.0025, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.5649, predictive_accuracy: 0.5906, prior_entropy: 2.5222, recall: 0.5906, relative_absolute_error: 0.5834, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2218, root_relative_squared_error: 1.0512, scimark_benchmark: 1306.9281, usercpu_time_millis: 818320, usercpu_time_millis_testing: 3790, usercpu_time_millis_training: 814530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, f_measure: 0.5984, kappa: 0.4469, kb_relative_information_score: 65.9014, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6288, predictive_accuracy: 0.6644, prior_entropy: 2.5222, recall: 0.6644, relative_absolute_error: 0.4775, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.9705, scimark_benchmark: 1331.0047, usercpu_time_millis: 740, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.6101, kappa: 0.4913, kb_relative_information_score: 67.5503, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.595, predictive_accuracy: 0.6577, prior_entropy: 2.5222, recall: 0.6577, relative_absolute_error: 0.6101, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.8714, scimark_benchmark: 1318.6467, usercpu_time_millis: 3820, usercpu_time_millis_training: 3820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.7117, kappa: 0.6086, kb_relative_information_score: 84.8759, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.707, predictive_accuracy: 0.7383, prior_entropy: 2.5222, recall: 0.7383, relative_absolute_error: 0.4736, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.7883, scimark_benchmark: 1339.3082, usercpu_time_millis: 9260, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 9240,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3371, kb_relative_information_score: 24.6825, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.2534, predictive_accuracy: 0.5034, prior_entropy: 2.5222, recall: 0.5034, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2492, root_relative_squared_error: 1.1807, scimark_benchmark: 1308.6872, usercpu_time_millis: 1670, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 1230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.66, kappa: 0.5401, kb_relative_information_score: 81.3277, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6661, predictive_accuracy: 0.7047, prior_entropy: 2.5222, recall: 0.7047, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.8514, scimark_benchmark: 1489.4622, usercpu_time_millis: 4120, usercpu_time_millis_testing: 3620, usercpu_time_millis_training: 500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.66, kappa: 0.5401, kb_relative_information_score: 81.3277, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6661, predictive_accuracy: 0.7047, prior_entropy: 2.5222, recall: 0.7047, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.8514, scimark_benchmark: 1324.2313, usercpu_time_millis: 4150, usercpu_time_millis_testing: 3560, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.66, kappa: 0.5401, kb_relative_information_score: 81.3277, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6661, predictive_accuracy: 0.7047, prior_entropy: 2.5222, recall: 0.7047, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.8514, scimark_benchmark: 1331.0047, usercpu_time_millis: 3310, usercpu_time_millis_testing: 2980, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.66, kappa: 0.5401, kb_relative_information_score: 81.3277, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6661, predictive_accuracy: 0.7047, prior_entropy: 2.5222, recall: 0.7047, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.8514, scimark_benchmark: 1336.4564, usercpu_time_millis: 1830, usercpu_time_millis_testing: 1660, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8691, f_measure: 0.632, kappa: 0.5074, kb_relative_information_score: 70.876, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6564, predictive_accuracy: 0.6913, prior_entropy: 2.5222, recall: 0.6913, relative_absolute_error: 0.6335, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.167, root_relative_squared_error: 0.7914, scimark_benchmark: 1325.3966, usercpu_time_millis: 950, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.66, kappa: 0.5401, kb_relative_information_score: 81.3277, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6661, predictive_accuracy: 0.7047, prior_entropy: 2.5222, recall: 0.7047, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.8514, scimark_benchmark: 1303.5632, usercpu_time_millis: 1740, usercpu_time_millis_testing: 1600, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.7007, kappa: 0.6088, kb_relative_information_score: 77.9786, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6897, predictive_accuracy: 0.7383, prior_entropy: 2.5222, recall: 0.7383, relative_absolute_error: 0.5252, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.8051, scimark_benchmark: 1325.6322, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.66, kappa: 0.5401, kb_relative_information_score: 81.3277, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6661, predictive_accuracy: 0.7047, prior_entropy: 2.5222, recall: 0.7047, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.8514, scimark_benchmark: 1327.6367, usercpu_time_millis: 1360, usercpu_time_millis_testing: 1230, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.66, kappa: 0.5401, kb_relative_information_score: 81.3277, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6661, predictive_accuracy: 0.7047, prior_entropy: 2.5222, recall: 0.7047, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.8514, scimark_benchmark: 1326.3935, usercpu_time_millis: 1250, usercpu_time_millis_testing: 1130, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.5552, kappa: 0.3592, kb_relative_information_score: 59.8256, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6, predictive_accuracy: 0.6376, prior_entropy: 2.5222, recall: 0.6376, relative_absolute_error: 0.7383, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.8349, scimark_benchmark: 1260.1387, usercpu_time_millis: 470, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7915, f_measure: 0.7007, kappa: 0.6088, kb_relative_information_score: 77.9786, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6897, predictive_accuracy: 0.7383, prior_entropy: 2.5222, recall: 0.7383, relative_absolute_error: 0.5252, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.8051, scimark_benchmark: 1346.2927, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3371, kb_relative_information_score: 24.6825, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.2534, predictive_accuracy: 0.5034, prior_entropy: 2.5222, recall: 0.5034, relative_absolute_error: 0.7067, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.2492, root_relative_squared_error: 1.1807, scimark_benchmark: 1329.8008, usercpu_time_millis: 1670, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 1220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.66, kappa: 0.5401, kb_relative_information_score: 81.3277, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6661, predictive_accuracy: 0.7047, prior_entropy: 2.5222, recall: 0.7047, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.8514, scimark_benchmark: 1297.2338, usercpu_time_millis: 1700, usercpu_time_millis_testing: 1530, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.5552, kappa: 0.3592, kb_relative_information_score: 59.8256, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6, predictive_accuracy: 0.6376, prior_entropy: 2.5222, recall: 0.6376, relative_absolute_error: 0.7383, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.8349, scimark_benchmark: 1322.7257, usercpu_time_millis: 410, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.813, f_measure: 0.6687, kappa: 0.5524, kb_relative_information_score: 82.1765, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6628, predictive_accuracy: 0.7047, prior_entropy: 2.5222, recall: 0.7047, relative_absolute_error: 0.4283, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.874, scimark_benchmark: 1371.9645, usercpu_time_millis: 4460, usercpu_time_millis_testing: 1680, usercpu_time_millis_training: 2780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8746, f_measure: 0.6543, kappa: 0.5299, kb_relative_information_score: 81.3473, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6597, predictive_accuracy: 0.698, prior_entropy: 2.5222, recall: 0.698, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.8546, scimark_benchmark: 935.5075, usercpu_time_millis: 250, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.66, kappa: 0.5401, kb_relative_information_score: 81.3277, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6661, predictive_accuracy: 0.7047, prior_entropy: 2.5222, recall: 0.7047, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.8514, scimark_benchmark: 918.0213, usercpu_time_millis: 2120, usercpu_time_millis_testing: 1770, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.66, kappa: 0.5401, kb_relative_information_score: 81.3277, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.0878, number_of_instances: 149, precision: 0.6661, predictive_accuracy: 0.7047, prior_entropy: 2.5222, recall: 0.7047, relative_absolute_error: 0.4204, root_mean_prior_squared_error: 0.211, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.8514, scimark_benchmark: 1288.1375, usercpu_time_millis: 2110, usercpu_time_millis_testing: 1900, usercpu_time_millis_training: 210,

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