Task
Supervised Classification on diggle_table_a2

Supervised Classification on diggle_table_a2

Task 4388 Supervised Classification diggle_table_a2 218 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 3099.8809, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, root_mean_prior_squared_error: 0.499, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 3091.1764, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, relative_absolute_error: 0.0039, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0019, root_relative_squared_error: 0.0039, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 3099.8181, mean_absolute_error: 0, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0, root_relative_squared_error: 0, scimark_benchmark: 934.3687, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.9201, kappa: 0.8396, kb_relative_information_score: 2606.9634, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 0.9312, predictive_accuracy: 0.921, prior_entropy: 0.997, recall: 0.921, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.2811, root_relative_squared_error: 0.5634, scimark_benchmark: 944.1067, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.9201, kappa: 0.8396, kb_relative_information_score: 2606.9634, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 0.9312, predictive_accuracy: 0.921, prior_entropy: 0.997, recall: 0.921, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.2811, root_relative_squared_error: 0.5634, scimark_benchmark: 916.0735, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9877, kappa: 0.9754, kb_relative_information_score: 3017.0616, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 0.9878, predictive_accuracy: 0.9877, prior_entropy: 0.997, recall: 0.9877, relative_absolute_error: 0.0272, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.206, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9987, kb_relative_information_score: 3087.8879, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.997, recall: 0.9994, relative_absolute_error: 0.0044, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0259, root_relative_squared_error: 0.0519, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9826, kappa: 0.965, kb_relative_information_score: 2714.6437, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 0.9827, predictive_accuracy: 0.9826, prior_entropy: 0.997, recall: 0.9826, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.2994, scimark_benchmark: 938.191, usercpu_time_millis: 370, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9955, kappa: 0.9909, kb_relative_information_score: 3047.4006, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 0.997, recall: 0.9955, relative_absolute_error: 0.0196, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0668, root_relative_squared_error: 0.1338, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.9201, kappa: 0.8396, kb_relative_information_score: 2606.9634, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 0.9312, predictive_accuracy: 0.921, prior_entropy: 0.997, recall: 0.921, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.2811, root_relative_squared_error: 0.5634, scimark_benchmark: 947.1781, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.9201, kappa: 0.8396, kb_relative_information_score: 2606.9634, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 0.9312, predictive_accuracy: 0.921, prior_entropy: 0.997, recall: 0.921, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.2811, root_relative_squared_error: 0.5634, scimark_benchmark: 941.3847, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9877, kappa: 0.9754, kb_relative_information_score: 3017.0616, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 0.9878, predictive_accuracy: 0.9877, prior_entropy: 0.997, recall: 0.9877, relative_absolute_error: 0.0272, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.206, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 3054.2628, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, relative_absolute_error: 0.0178, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0443, root_relative_squared_error: 0.0888, scimark_benchmark: 937.5117, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 3099.8809, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, root_mean_prior_squared_error: 0.499, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 3091.1764, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, relative_absolute_error: 0.0039, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0019, root_relative_squared_error: 0.0039, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 3099.8181, mean_absolute_error: 0, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0, root_relative_squared_error: 0, scimark_benchmark: 940.1541, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.9201, kappa: 0.8396, kb_relative_information_score: 2606.9634, mean_absolute_error: 0.079, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 0.9312, predictive_accuracy: 0.921, prior_entropy: 0.997, recall: 0.921, relative_absolute_error: 0.1587, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.2811, root_relative_squared_error: 0.5634, scimark_benchmark: 934.7923, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9877, kappa: 0.9754, kb_relative_information_score: 3017.0616, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 0.9878, predictive_accuracy: 0.9877, prior_entropy: 0.997, recall: 0.9877, relative_absolute_error: 0.0272, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.206, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9877, kappa: 0.9754, kb_relative_information_score: 3017.0616, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 0.9878, predictive_accuracy: 0.9877, prior_entropy: 0.997, recall: 0.9877, relative_absolute_error: 0.0272, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.206, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9994, kappa: 0.9987, kb_relative_information_score: 3087.8879, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 0.9994, predictive_accuracy: 0.9994, prior_entropy: 0.997, recall: 0.9994, relative_absolute_error: 0.0044, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0259, root_relative_squared_error: 0.0519, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9826, kappa: 0.965, kb_relative_information_score: 2714.6437, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 0.9827, predictive_accuracy: 0.9826, prior_entropy: 0.997, recall: 0.9826, relative_absolute_error: 0.1426, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.2994, scimark_benchmark: 936.9595, usercpu_time_millis: 350, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9877, kappa: 0.9754, kb_relative_information_score: 3017.0616, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 0.9878, predictive_accuracy: 0.9877, prior_entropy: 0.997, recall: 0.9877, relative_absolute_error: 0.0272, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.206, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9955, kappa: 0.9909, kb_relative_information_score: 3047.4006, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 0.997, recall: 0.9955, relative_absolute_error: 0.0196, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0668, root_relative_squared_error: 0.1338, scimark_benchmark: 936.3213, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 3054.2628, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, relative_absolute_error: 0.0178, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0443, root_relative_squared_error: 0.0888, scimark_benchmark: 938.988, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9935, kappa: 0.987, kb_relative_information_score: 2984.9914, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 0.9936, predictive_accuracy: 0.9935, prior_entropy: 0.997, recall: 0.9935, relative_absolute_error: 0.0431, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0805, root_relative_squared_error: 0.1613, scimark_benchmark: 1171.0303, usercpu_time_millis: 2260, usercpu_time_millis_testing: 1280, usercpu_time_millis_training: 980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9919, kappa: 0.9838, kb_relative_information_score: 2983.0565, mean_absolute_error: 0.0217, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 0.992, predictive_accuracy: 0.9919, prior_entropy: 0.997, recall: 0.9919, relative_absolute_error: 0.0435, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.1652, scimark_benchmark: 943.6618, usercpu_time_millis: 520, usercpu_time_millis_testing: 130, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.991, kappa: 0.9818, kb_relative_information_score: 2982.096, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 0.997, recall: 0.991, relative_absolute_error: 0.0438, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0836, root_relative_squared_error: 0.1675, scimark_benchmark: 903.179, usercpu_time_millis: 300, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9903, kappa: 0.9806, kb_relative_information_score: 2978.8551, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 0.9904, predictive_accuracy: 0.9903, prior_entropy: 0.997, recall: 0.9903, relative_absolute_error: 0.0446, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0872, root_relative_squared_error: 0.1747, scimark_benchmark: 901.5805, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9884, kappa: 0.9767, kb_relative_information_score: 2977.0964, mean_absolute_error: 0.0223, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 0.9884, predictive_accuracy: 0.9884, prior_entropy: 0.997, recall: 0.9884, relative_absolute_error: 0.0447, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0883, root_relative_squared_error: 0.177, scimark_benchmark: 930.0025, usercpu_time_millis: 80, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 3099.8809, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, root_mean_prior_squared_error: 0.499, scimark_benchmark: 929.0296, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 3099.8809, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, root_mean_prior_squared_error: 0.499, scimark_benchmark: 889.4922, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 3099.8809, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, root_mean_prior_squared_error: 0.499, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 3099.8809, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, root_mean_prior_squared_error: 0.499, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 3099.8809, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, root_mean_prior_squared_error: 0.499, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4838, f_measure: 0.3698, kb_relative_information_score: -0.5959, mean_absolute_error: 0.498, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 0.2833, predictive_accuracy: 0.5323, prior_entropy: 0.997, recall: 0.5323, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0001, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 3099.8809, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, root_mean_prior_squared_error: 0.499, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 3099.8809, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, root_mean_prior_squared_error: 0.499, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 3099.8809, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, root_mean_prior_squared_error: 0.499, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 3099.8809, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, root_mean_prior_squared_error: 0.499, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 3099.8809, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, root_mean_prior_squared_error: 0.499, scimark_benchmark: 935.6052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3698, kb_relative_information_score: 182.6142, mean_absolute_error: 0.4677, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 0.2833, predictive_accuracy: 0.5323, prior_entropy: 0.997, recall: 0.5323, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.6839, root_relative_squared_error: 1.3707, scimark_benchmark: 922.8232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9965, kappa: 0.9929, kb_relative_information_score: 3077.7499, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 0.997, recall: 0.9965, relative_absolute_error: 0.0071, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0596, root_relative_squared_error: 0.1194, scimark_benchmark: 922.8232, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9877, kappa: 0.9754, kb_relative_information_score: 3017.0616, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 0.9878, predictive_accuracy: 0.9877, prior_entropy: 0.997, recall: 0.9877, relative_absolute_error: 0.0272, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.206, scimark_benchmark: 1322.3407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9955, kappa: 0.9909, kb_relative_information_score: 3047.4006, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 0.997, recall: 0.9955, relative_absolute_error: 0.0196, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0668, root_relative_squared_error: 0.1338, scimark_benchmark: 1332.1612, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 3091.1764, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, relative_absolute_error: 0.0039, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0019, root_relative_squared_error: 0.0039, scimark_benchmark: 1346.1568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 3099.8181, mean_absolute_error: 0, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, relative_absolute_error: 0, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0, root_relative_squared_error: 0, scimark_benchmark: 1358.6198, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9777, kappa: 0.9552, kb_relative_information_score: 2968.7656, mean_absolute_error: 0.0209, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 0.9783, predictive_accuracy: 0.9777, prior_entropy: 0.997, recall: 0.9777, relative_absolute_error: 0.0421, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1314, root_relative_squared_error: 0.2633, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9877, kappa: 0.9754, kb_relative_information_score: 3017.0616, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 0.9878, predictive_accuracy: 0.9877, prior_entropy: 0.997, recall: 0.9877, relative_absolute_error: 0.0272, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.206, scimark_benchmark: 1345.6844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9877, kappa: 0.9754, kb_relative_information_score: 3017.0616, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 0.9878, predictive_accuracy: 0.9877, prior_entropy: 0.997, recall: 0.9877, relative_absolute_error: 0.0272, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.206, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9877, kappa: 0.9754, kb_relative_information_score: 3017.0616, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 0.9878, predictive_accuracy: 0.9877, prior_entropy: 0.997, recall: 0.9877, relative_absolute_error: 0.0272, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.206, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9877, kappa: 0.9754, kb_relative_information_score: 3017.0616, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 0.9878, predictive_accuracy: 0.9877, prior_entropy: 0.997, recall: 0.9877, relative_absolute_error: 0.0272, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.206, scimark_benchmark: 1332.9478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9955, kappa: 0.9909, kb_relative_information_score: 3047.4006, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 0.9955, predictive_accuracy: 0.9955, prior_entropy: 0.997, recall: 0.9955, relative_absolute_error: 0.0196, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0668, root_relative_squared_error: 0.1338, scimark_benchmark: 1317.6232, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 3054.2628, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, relative_absolute_error: 0.0178, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0443, root_relative_squared_error: 0.0888, scimark_benchmark: 1320.8283, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 3099.8809, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, root_mean_prior_squared_error: 0.499, scimark_benchmark: 1393.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9932, kappa: 0.9864, kb_relative_information_score: 2996.0671, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 0.9932, predictive_accuracy: 0.9932, prior_entropy: 0.997, recall: 0.9932, relative_absolute_error: 0.0385, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0815, root_relative_squared_error: 0.1634, scimark_benchmark: 1342.6744, usercpu_time_millis: 220, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 3091.1764, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.4979, number_of_instances: 3100, precision: 1, predictive_accuracy: 1, prior_entropy: 0.997, recall: 1, relative_absolute_error: 0.0039, root_mean_prior_squared_error: 0.499, root_mean_squared_error: 0.0019, root_relative_squared_error: 0.0039, scimark_benchmark: 1319.5773,

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