Task
Supervised Classification on ecoli

Supervised Classification on ecoli

Task 4579 Supervised Classification ecoli 210 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.937, kappa: 0.8715, kb_relative_information_score: 2785.8098, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9375, predictive_accuracy: 0.9369, prior_entropy: 0.9842, recall: 0.9369, relative_absolute_error: 0.1827, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2385, root_relative_squared_error: 0.4825, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9458, kappa: 0.8893, kb_relative_information_score: 2732.5538, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9459, predictive_accuracy: 0.9458, prior_entropy: 0.9842, recall: 0.9458, relative_absolute_error: 0.2062, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.4351, scimark_benchmark: 972.587, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9485, kappa: 0.8947, kb_relative_information_score: 2887.7087, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9485, predictive_accuracy: 0.9485, prior_entropy: 0.9842, recall: 0.9485, relative_absolute_error: 0.1505, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.4171, scimark_benchmark: 934.3687, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.9574, kappa: 0.913, kb_relative_information_score: 3064.1114, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9575, predictive_accuracy: 0.9574, prior_entropy: 0.9842, recall: 0.9574, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.4172, scimark_benchmark: 916.0735, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9568, kappa: 0.9117, kb_relative_information_score: 2968.3852, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9568, predictive_accuracy: 0.9568, prior_entropy: 0.9842, recall: 0.9568, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.194, root_relative_squared_error: 0.3924, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9515, kappa: 0.901, kb_relative_information_score: 2832.2996, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9517, predictive_accuracy: 0.9515, prior_entropy: 0.9842, recall: 0.9515, relative_absolute_error: 0.1723, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.3934, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9646, kappa: 0.9276, kb_relative_information_score: 2901.9941, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9646, predictive_accuracy: 0.9646, prior_entropy: 0.9842, recall: 0.9646, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.3466, scimark_benchmark: 936.8075, usercpu_time_millis: 920, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 900,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9593, kappa: 0.9168, kb_relative_information_score: 2953.1835, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9594, predictive_accuracy: 0.9592, prior_entropy: 0.9842, recall: 0.9592, relative_absolute_error: 0.1304, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.3934, scimark_benchmark: 931.771, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9598, kappa: 0.9178, kb_relative_information_score: 2880.6873, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9598, predictive_accuracy: 0.9598, prior_entropy: 0.9842, recall: 0.9598, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.189, root_relative_squared_error: 0.3823, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.9574, kappa: 0.913, kb_relative_information_score: 3064.1114, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9575, predictive_accuracy: 0.9574, prior_entropy: 0.9842, recall: 0.9574, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.4172, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.9574, kappa: 0.913, kb_relative_information_score: 3064.1114, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9575, predictive_accuracy: 0.9574, prior_entropy: 0.9842, recall: 0.9574, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.4172, scimark_benchmark: 932.438, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9568, kappa: 0.9117, kb_relative_information_score: 2968.3852, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9568, predictive_accuracy: 0.9568, prior_entropy: 0.9842, recall: 0.9568, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.194, root_relative_squared_error: 0.3924, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9568, kappa: 0.9117, kb_relative_information_score: 2968.3852, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9568, predictive_accuracy: 0.9568, prior_entropy: 0.9842, recall: 0.9568, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.194, root_relative_squared_error: 0.3924, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9598, kappa: 0.9178, kb_relative_information_score: 2880.6873, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9598, predictive_accuracy: 0.9598, prior_entropy: 0.9842, recall: 0.9598, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.189, root_relative_squared_error: 0.3823, scimark_benchmark: 943.1009, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.937, kappa: 0.8715, kb_relative_information_score: 2785.8098, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9375, predictive_accuracy: 0.9369, prior_entropy: 0.9842, recall: 0.9369, relative_absolute_error: 0.1827, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2385, root_relative_squared_error: 0.4825, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9458, kappa: 0.8893, kb_relative_information_score: 2732.5538, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9459, predictive_accuracy: 0.9458, prior_entropy: 0.9842, recall: 0.9458, relative_absolute_error: 0.2062, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.4351, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9485, kappa: 0.8947, kb_relative_information_score: 2887.7087, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9485, predictive_accuracy: 0.9485, prior_entropy: 0.9842, recall: 0.9485, relative_absolute_error: 0.1505, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.4171, scimark_benchmark: 936.2574, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.9574, kappa: 0.913, kb_relative_information_score: 3064.1114, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9575, predictive_accuracy: 0.9574, prior_entropy: 0.9842, recall: 0.9574, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.4172, scimark_benchmark: 905.2959, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.9574, kappa: 0.913, kb_relative_information_score: 3064.1114, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9575, predictive_accuracy: 0.9574, prior_entropy: 0.9842, recall: 0.9574, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.4172, scimark_benchmark: 926.5462, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9568, kappa: 0.9117, kb_relative_information_score: 2968.3852, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9568, predictive_accuracy: 0.9568, prior_entropy: 0.9842, recall: 0.9568, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.194, root_relative_squared_error: 0.3924, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9568, kappa: 0.9117, kb_relative_information_score: 2968.3852, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9568, predictive_accuracy: 0.9568, prior_entropy: 0.9842, recall: 0.9568, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.194, root_relative_squared_error: 0.3924, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9568, kappa: 0.9117, kb_relative_information_score: 2968.3852, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9568, predictive_accuracy: 0.9568, prior_entropy: 0.9842, recall: 0.9568, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.194, root_relative_squared_error: 0.3924, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9515, kappa: 0.901, kb_relative_information_score: 2832.2996, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9517, predictive_accuracy: 0.9515, prior_entropy: 0.9842, recall: 0.9515, relative_absolute_error: 0.1723, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.3934, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9646, kappa: 0.9276, kb_relative_information_score: 2901.9941, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9646, predictive_accuracy: 0.9646, prior_entropy: 0.9842, recall: 0.9646, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.3466, scimark_benchmark: 763.3895, usercpu_time_millis: 620, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9568, kappa: 0.9117, kb_relative_information_score: 2968.3852, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9568, predictive_accuracy: 0.9568, prior_entropy: 0.9842, recall: 0.9568, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.194, root_relative_squared_error: 0.3924, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9593, kappa: 0.9168, kb_relative_information_score: 2953.1835, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9594, predictive_accuracy: 0.9592, prior_entropy: 0.9842, recall: 0.9592, relative_absolute_error: 0.1304, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.3934, scimark_benchmark: 941.3057, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9598, kappa: 0.9178, kb_relative_information_score: 2880.6873, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9598, predictive_accuracy: 0.9598, prior_entropy: 0.9842, recall: 0.9598, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.189, root_relative_squared_error: 0.3823, scimark_benchmark: 938.988, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9625, kappa: 0.9234, kb_relative_information_score: 2909.1714, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9626, predictive_accuracy: 0.9625, prior_entropy: 0.9842, recall: 0.9625, relative_absolute_error: 0.1515, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.3506, scimark_benchmark: 938.1282, usercpu_time_millis: 1190, usercpu_time_millis_testing: 540, usercpu_time_millis_training: 650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9628, kappa: 0.924, kb_relative_information_score: 2906.3846, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9628, predictive_accuracy: 0.9628, prior_entropy: 0.9842, recall: 0.9628, relative_absolute_error: 0.1519, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.175, root_relative_squared_error: 0.3539, scimark_benchmark: 941.7976, usercpu_time_millis: 220, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9637, kappa: 0.9258, kb_relative_information_score: 2916.5657, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9637, predictive_accuracy: 0.9637, prior_entropy: 0.9842, recall: 0.9637, relative_absolute_error: 0.1484, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1751, root_relative_squared_error: 0.3542, scimark_benchmark: 896.2424, usercpu_time_millis: 120, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.9646, kappa: 0.9276, kb_relative_information_score: 2913.133, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9646, predictive_accuracy: 0.9646, prior_entropy: 0.9842, recall: 0.9646, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1759, root_relative_squared_error: 0.3557, scimark_benchmark: 935.9271, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9479, kappa: 0.8934, kb_relative_information_score: 2925.7263, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9479, predictive_accuracy: 0.9479, prior_entropy: 0.9842, recall: 0.9479, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4274, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9479, kappa: 0.8934, kb_relative_information_score: 2925.7263, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9479, predictive_accuracy: 0.9479, prior_entropy: 0.9842, recall: 0.9479, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4274, scimark_benchmark: 889.4922, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9479, kappa: 0.8934, kb_relative_information_score: 2925.7263, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9479, predictive_accuracy: 0.9479, prior_entropy: 0.9842, recall: 0.9479, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4274, scimark_benchmark: 936.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9479, kappa: 0.8934, kb_relative_information_score: 2925.7263, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9479, predictive_accuracy: 0.9479, prior_entropy: 0.9842, recall: 0.9479, relative_absolute_error: 0.1338, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4274, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9476, kappa: 0.8928, kb_relative_information_score: 2924.0968, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9476, predictive_accuracy: 0.9476, prior_entropy: 0.9842, recall: 0.9476, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2116, root_relative_squared_error: 0.428, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4873, f_measure: 0.4191, kb_relative_information_score: -0.6025, mean_absolute_error: 0.489, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.3299, predictive_accuracy: 0.5744, prior_entropy: 0.9842, recall: 0.5744, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.4945, root_relative_squared_error: 1.0001, scimark_benchmark: 941.9549,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9557, kappa: 0.9094, kb_relative_information_score: 3044.6699, mean_absolute_error: 0.0457, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9557, predictive_accuracy: 0.9557, prior_entropy: 0.9842, recall: 0.9557, relative_absolute_error: 0.0935, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.4138, scimark_benchmark: 941.9549, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.937, kappa: 0.8715, kb_relative_information_score: 2785.8098, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9375, predictive_accuracy: 0.9369, prior_entropy: 0.9842, recall: 0.9369, relative_absolute_error: 0.1827, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2385, root_relative_squared_error: 0.4825, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9458, kappa: 0.8893, kb_relative_information_score: 2732.5538, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9459, predictive_accuracy: 0.9458, prior_entropy: 0.9842, recall: 0.9458, relative_absolute_error: 0.2062, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.4351, scimark_benchmark: 1313.8988, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.9574, kappa: 0.913, kb_relative_information_score: 3064.1114, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9575, predictive_accuracy: 0.9574, prior_entropy: 0.9842, recall: 0.9574, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.4172, scimark_benchmark: 1324.8408, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9577, kappa: 0.9135, kb_relative_information_score: 2962.6633, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9577, predictive_accuracy: 0.9577, prior_entropy: 0.9842, recall: 0.9577, relative_absolute_error: 0.1258, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.3872, scimark_benchmark: 1333.6736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9568, kappa: 0.9117, kb_relative_information_score: 2968.3852, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9568, predictive_accuracy: 0.9568, prior_entropy: 0.9842, recall: 0.9568, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.194, root_relative_squared_error: 0.3924, scimark_benchmark: 1319.4538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9646, kappa: 0.9276, kb_relative_information_score: 2901.9941, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9646, predictive_accuracy: 0.9646, prior_entropy: 0.9842, recall: 0.9646, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.3466, scimark_benchmark: 1313.11, usercpu_time_millis: 400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9568, kappa: 0.9117, kb_relative_information_score: 2968.3852, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9568, predictive_accuracy: 0.9568, prior_entropy: 0.9842, recall: 0.9568, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.194, root_relative_squared_error: 0.3924, scimark_benchmark: 1306.8702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.937, kappa: 0.8715, kb_relative_information_score: 2785.8098, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9375, predictive_accuracy: 0.9369, prior_entropy: 0.9842, recall: 0.9369, relative_absolute_error: 0.1827, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2385, root_relative_squared_error: 0.4825, scimark_benchmark: 1306.9281,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9568, kappa: 0.9117, kb_relative_information_score: 2968.3852, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9568, predictive_accuracy: 0.9568, prior_entropy: 0.9842, recall: 0.9568, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.194, root_relative_squared_error: 0.3924, scimark_benchmark: 1326.2019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9568, kappa: 0.9117, kb_relative_information_score: 2968.3852, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9568, predictive_accuracy: 0.9568, prior_entropy: 0.9842, recall: 0.9568, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.194, root_relative_squared_error: 0.3924, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9568, kappa: 0.9117, kb_relative_information_score: 2968.3852, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9568, predictive_accuracy: 0.9568, prior_entropy: 0.9842, recall: 0.9568, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.194, root_relative_squared_error: 0.3924, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9593, kappa: 0.9168, kb_relative_information_score: 2953.1835, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9594, predictive_accuracy: 0.9592, prior_entropy: 0.9842, recall: 0.9592, relative_absolute_error: 0.1304, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.3934, scimark_benchmark: 1334.863, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9598, kappa: 0.9178, kb_relative_information_score: 2880.6873, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9598, predictive_accuracy: 0.9598, prior_entropy: 0.9842, recall: 0.9598, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.189, root_relative_squared_error: 0.3823, scimark_benchmark: 1347.3402, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.9485, kappa: 0.8947, kb_relative_information_score: 2887.7087, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9485, predictive_accuracy: 0.9485, prior_entropy: 0.9842, recall: 0.9485, relative_absolute_error: 0.1505, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.4171, scimark_benchmark: 1321.8132, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.9574, kappa: 0.913, kb_relative_information_score: 3064.1114, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9575, predictive_accuracy: 0.9574, prior_entropy: 0.9842, recall: 0.9574, relative_absolute_error: 0.087, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.2063, root_relative_squared_error: 0.4172, scimark_benchmark: 1309.4708, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9577, kappa: 0.9135, kb_relative_information_score: 2962.6633, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9577, predictive_accuracy: 0.9577, prior_entropy: 0.9842, recall: 0.9577, relative_absolute_error: 0.1258, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.3872, scimark_benchmark: 1280.9535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9838, f_measure: 0.9568, kappa: 0.9117, kb_relative_information_score: 2968.3852, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9568, predictive_accuracy: 0.9568, prior_entropy: 0.9842, recall: 0.9568, relative_absolute_error: 0.1235, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.194, root_relative_squared_error: 0.3924, scimark_benchmark: 1336.4564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.9593, kappa: 0.9168, kb_relative_information_score: 2953.1835, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9594, predictive_accuracy: 0.9592, prior_entropy: 0.9842, recall: 0.9592, relative_absolute_error: 0.1304, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.1945, root_relative_squared_error: 0.3934, scimark_benchmark: 1329.8008, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9598, kappa: 0.9178, kb_relative_information_score: 2880.6873, mean_absolute_error: 0.0764, mean_prior_absolute_error: 0.489, number_of_instances: 3360, precision: 0.9598, predictive_accuracy: 0.9598, prior_entropy: 0.9842, recall: 0.9598, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.4944, root_mean_squared_error: 0.189, root_relative_squared_error: 0.3823, scimark_benchmark: 1313.9976, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,

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