OpenML
Supervised Classification on kdd_internet_usage

Supervised Classification on kdd_internet_usage

Task 4549 Supervised Classification kdd_internet_usage 209 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.8836, kappa: 0.7019, kb_relative_information_score: 60991.9443, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8831, predictive_accuracy: 0.8844, prior_entropy: 0.8395, recall: 0.8844, relative_absolute_error: 0.3846, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.656, scimark_benchmark: 974.2014, usercpu_time_millis: 31116520, usercpu_time_millis_testing: 98490, usercpu_time_millis_training: 31018030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8937, kappa: 0.7249, kb_relative_information_score: 63938.0542, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8936, predictive_accuracy: 0.8956, prior_entropy: 0.8395, recall: 0.8956, relative_absolute_error: 0.3657, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.6469, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.896, kappa: 0.7353, kb_relative_information_score: 51038.7024, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.8395, recall: 0.896, relative_absolute_error: 0.4941, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.6376, scimark_benchmark: 972.587, usercpu_time_millis: 1010, usercpu_time_millis_training: 1010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8925, kappa: 0.7247, kb_relative_information_score: 60199.8031, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8921, predictive_accuracy: 0.8933, prior_entropy: 0.8395, recall: 0.8933, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.6344, scimark_benchmark: 934.3687, usercpu_time_millis: 40700, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, f_measure: 0.8868, kappa: 0.7099, kb_relative_information_score: 69319.3432, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8863, predictive_accuracy: 0.8877, prior_entropy: 0.8395, recall: 0.8877, relative_absolute_error: 0.2859, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.7562, scimark_benchmark: 944.1067, usercpu_time_millis: 46740, usercpu_time_millis_testing: 17880, usercpu_time_millis_training: 28860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, f_measure: 0.8868, kappa: 0.7099, kb_relative_information_score: 69319.3432, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8863, predictive_accuracy: 0.8877, prior_entropy: 0.8395, recall: 0.8877, relative_absolute_error: 0.2859, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.7562, scimark_benchmark: 916.0735, usercpu_time_millis: 42800, usercpu_time_millis_testing: 17060, usercpu_time_millis_training: 25740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8686, kappa: 0.6722, kb_relative_information_score: 60179.6323, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8729, predictive_accuracy: 0.8663, prior_entropy: 0.8395, recall: 0.8663, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.7296, scimark_benchmark: 941.6675, usercpu_time_millis: 950, usercpu_time_millis_testing: 810, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8686, kappa: 0.6722, kb_relative_information_score: 60179.6323, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8729, predictive_accuracy: 0.8663, prior_entropy: 0.8395, recall: 0.8663, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.7296, scimark_benchmark: 941.6675, usercpu_time_millis: 880, usercpu_time_millis_testing: 740, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8686, kappa: 0.6722, kb_relative_information_score: 60179.6323, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8729, predictive_accuracy: 0.8663, prior_entropy: 0.8395, recall: 0.8663, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.7296, scimark_benchmark: 938.191, usercpu_time_millis: 800, usercpu_time_millis_testing: 670, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8768, kappa: 0.6832, kb_relative_information_score: 56702.9959, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8761, predictive_accuracy: 0.8782, prior_entropy: 0.8395, recall: 0.8782, relative_absolute_error: 0.4324, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6896, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.7983, kappa: 0.457, kb_relative_information_score: 44481.971, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8276, predictive_accuracy: 0.8221, prior_entropy: 0.8395, recall: 0.8221, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7933, scimark_benchmark: 938.191, usercpu_time_millis: 1605730, usercpu_time_millis_testing: 350080, usercpu_time_millis_training: 1255650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8777, kappa: 0.6876, kb_relative_information_score: 64640.1502, mean_absolute_error: 0.1313, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8773, predictive_accuracy: 0.8782, prior_entropy: 0.8395, recall: 0.8782, relative_absolute_error: 0.3341, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.7223, scimark_benchmark: 944.1067, usercpu_time_millis: 104440, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 104290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, f_measure: 0.8868, kappa: 0.7099, kb_relative_information_score: 69319.3432, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8863, predictive_accuracy: 0.8877, prior_entropy: 0.8395, recall: 0.8877, relative_absolute_error: 0.2859, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.7562, scimark_benchmark: 947.1781, usercpu_time_millis: 84280, usercpu_time_millis_testing: 36780, usercpu_time_millis_training: 47500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8498, f_measure: 0.8868, kappa: 0.7099, kb_relative_information_score: 69319.3432, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8863, predictive_accuracy: 0.8877, prior_entropy: 0.8395, recall: 0.8877, relative_absolute_error: 0.2859, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3352, root_relative_squared_error: 0.7562, scimark_benchmark: 932.438, usercpu_time_millis: 49650, usercpu_time_millis_testing: 18340, usercpu_time_millis_training: 31310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8578, kappa: 0.649, kb_relative_information_score: 57631.403, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8656, predictive_accuracy: 0.8542, prior_entropy: 0.8395, recall: 0.8542, relative_absolute_error: 0.3961, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.7789, scimark_benchmark: 974.2014, usercpu_time_millis: 160, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8744, kappa: 0.6698, kb_relative_information_score: 42958.6719, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8784, predictive_accuracy: 0.8799, prior_entropy: 0.8395, recall: 0.8799, relative_absolute_error: 0.6081, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.7024, scimark_benchmark: 937.5117, usercpu_time_millis: 3700, usercpu_time_millis_testing: 600, usercpu_time_millis_training: 3100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8937, kappa: 0.7249, kb_relative_information_score: 63938.0542, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8936, predictive_accuracy: 0.8956, prior_entropy: 0.8395, recall: 0.8956, relative_absolute_error: 0.3657, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.6469, scimark_benchmark: 942.2392, usercpu_time_millis: 340, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.896, kappa: 0.7353, kb_relative_information_score: 51038.7024, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.8395, recall: 0.896, relative_absolute_error: 0.4941, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.6376, scimark_benchmark: 908.9569, usercpu_time_millis: 1390, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8925, kappa: 0.7247, kb_relative_information_score: 60199.8031, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8921, predictive_accuracy: 0.8933, prior_entropy: 0.8395, recall: 0.8933, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.6344, scimark_benchmark: 938.1282, usercpu_time_millis: 48210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 48200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.7983, kappa: 0.457, kb_relative_information_score: 44481.971, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8276, predictive_accuracy: 0.8221, prior_entropy: 0.8395, recall: 0.8221, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7933, scimark_benchmark: 904.5548, usercpu_time_millis: 1871950, usercpu_time_millis_testing: 357560, usercpu_time_millis_training: 1514390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.898, kappa: 0.737, kb_relative_information_score: 62852.9076, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8978, predictive_accuracy: 0.8996, prior_entropy: 0.8395, recall: 0.8996, relative_absolute_error: 0.3762, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.6066, scimark_benchmark: 937.5683, usercpu_time_millis: 4261310, usercpu_time_millis_testing: 883940, usercpu_time_millis_training: 3377370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8578, kappa: 0.649, kb_relative_information_score: 57631.403, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8656, predictive_accuracy: 0.8542, prior_entropy: 0.8395, recall: 0.8542, relative_absolute_error: 0.3961, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.7789, scimark_benchmark: 930.404, usercpu_time_millis: 130, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8686, kappa: 0.6722, kb_relative_information_score: 60179.6323, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8729, predictive_accuracy: 0.8663, prior_entropy: 0.8395, recall: 0.8663, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.7296, scimark_benchmark: 930.404, usercpu_time_millis: 940, usercpu_time_millis_testing: 800, usercpu_time_millis_training: 140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8686, kappa: 0.6722, kb_relative_information_score: 60179.6323, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8729, predictive_accuracy: 0.8663, prior_entropy: 0.8395, recall: 0.8663, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.7296, scimark_benchmark: 941.4991, usercpu_time_millis: 810, usercpu_time_millis_testing: 680, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8768, kappa: 0.6832, kb_relative_information_score: 56702.9959, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8761, predictive_accuracy: 0.8782, prior_entropy: 0.8395, recall: 0.8782, relative_absolute_error: 0.4324, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6896, scimark_benchmark: 930.404, usercpu_time_millis: 4630, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4610,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8686, kappa: 0.6722, kb_relative_information_score: 60179.6323, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8729, predictive_accuracy: 0.8663, prior_entropy: 0.8395, recall: 0.8663, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.7296, scimark_benchmark: 932.438, usercpu_time_millis: 780, usercpu_time_millis_testing: 650, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8777, kappa: 0.6876, kb_relative_information_score: 64640.1502, mean_absolute_error: 0.1313, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8773, predictive_accuracy: 0.8782, prior_entropy: 0.8395, recall: 0.8782, relative_absolute_error: 0.3341, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.7223, scimark_benchmark: 945.6228, usercpu_time_millis: 101740, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 101590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8744, kappa: 0.6698, kb_relative_information_score: 42958.6719, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8784, predictive_accuracy: 0.8799, prior_entropy: 0.8395, recall: 0.8799, relative_absolute_error: 0.6081, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.7024, scimark_benchmark: 941.4991, usercpu_time_millis: 4100, usercpu_time_millis_testing: 650, usercpu_time_millis_training: 3450,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.8977, kappa: 0.7361, kb_relative_information_score: 62822.8815, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8974, predictive_accuracy: 0.8992, prior_entropy: 0.8395, recall: 0.8992, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.6078, scimark_benchmark: 945.6228, usercpu_time_millis: 2123890, usercpu_time_millis_testing: 461340, usercpu_time_millis_training: 1662550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.8967, kappa: 0.7334, kb_relative_information_score: 62724.2151, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8965, predictive_accuracy: 0.8983, prior_entropy: 0.8395, recall: 0.8983, relative_absolute_error: 0.3759, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.271, root_relative_squared_error: 0.6114, scimark_benchmark: 936.3373, usercpu_time_millis: 1106080, usercpu_time_millis_testing: 232360, usercpu_time_millis_training: 873720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.8945, kappa: 0.7279, kb_relative_information_score: 62482.971, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8942, predictive_accuracy: 0.8961, prior_entropy: 0.8395, recall: 0.8961, relative_absolute_error: 0.3754, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2735, root_relative_squared_error: 0.6171, scimark_benchmark: 930.5033, usercpu_time_millis: 533260, usercpu_time_millis_testing: 119250, usercpu_time_millis_training: 414010,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8899, kappa: 0.7163, kb_relative_information_score: 62020.9833, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8895, predictive_accuracy: 0.8915, prior_entropy: 0.8395, recall: 0.8915, relative_absolute_error: 0.3758, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2795, root_relative_squared_error: 0.6306, scimark_benchmark: 920.3788, usercpu_time_millis: 271870, usercpu_time_millis_testing: 57870, usercpu_time_millis_training: 214000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.6179, kb_relative_information_score: 16046.3365, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.5349, predictive_accuracy: 0.7314, prior_entropy: 0.8395, recall: 0.7314, relative_absolute_error: 0.7601, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.8719, scimark_benchmark: 936.1714, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.6179, kb_relative_information_score: 16046.3365, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.5349, predictive_accuracy: 0.7314, prior_entropy: 0.8395, recall: 0.7314, relative_absolute_error: 0.7601, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.8719, scimark_benchmark: 930.0565, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.6179, kb_relative_information_score: 16046.3365, mean_absolute_error: 0.2987, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.5349, predictive_accuracy: 0.7314, prior_entropy: 0.8395, recall: 0.7314, relative_absolute_error: 0.7601, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.8719, scimark_benchmark: 941.9549, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8686, kappa: 0.6722, kb_relative_information_score: 60179.6323, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8729, predictive_accuracy: 0.8663, prior_entropy: 0.8395, recall: 0.8663, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.7296, scimark_benchmark: 1313.8988, usercpu_time_millis: 620, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8578, kappa: 0.649, kb_relative_information_score: 57631.403, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8656, predictive_accuracy: 0.8542, prior_entropy: 0.8395, recall: 0.8542, relative_absolute_error: 0.3961, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.7789, scimark_benchmark: 1303.5632, usercpu_time_millis: 140, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8686, kappa: 0.6722, kb_relative_information_score: 60179.6323, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8729, predictive_accuracy: 0.8663, prior_entropy: 0.8395, recall: 0.8663, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.7296, scimark_benchmark: 1286.2211, usercpu_time_millis: 610, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8686, kappa: 0.6722, kb_relative_information_score: 60179.6323, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8729, predictive_accuracy: 0.8663, prior_entropy: 0.8395, recall: 0.8663, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.7296, scimark_benchmark: 1347.6543, usercpu_time_millis: 590, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8925, kappa: 0.7247, kb_relative_information_score: 60199.8031, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8921, predictive_accuracy: 0.8933, prior_entropy: 0.8395, recall: 0.8933, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.6344, scimark_benchmark: 1310.3168, usercpu_time_millis: 26580, usercpu_time_millis_training: 26580,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8686, kappa: 0.6722, kb_relative_information_score: 60179.6323, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8729, predictive_accuracy: 0.8663, prior_entropy: 0.8395, recall: 0.8663, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.7296, scimark_benchmark: 1324.8408, usercpu_time_millis: 620, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8925, kappa: 0.7247, kb_relative_information_score: 60199.8031, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8921, predictive_accuracy: 0.8933, prior_entropy: 0.8395, recall: 0.8933, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.6344, scimark_benchmark: 1318.6467, usercpu_time_millis: 30360, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.904, f_measure: 0.7983, kappa: 0.457, kb_relative_information_score: 44481.971, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8276, predictive_accuracy: 0.8221, prior_entropy: 0.8395, recall: 0.8221, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7933, scimark_benchmark: 1318.6467, usercpu_time_millis: 908510, usercpu_time_millis_testing: 313800, usercpu_time_millis_training: 594710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8686, kappa: 0.6722, kb_relative_information_score: 60179.6323, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8729, predictive_accuracy: 0.8663, prior_entropy: 0.8395, recall: 0.8663, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.7296, scimark_benchmark: 1324.6442, usercpu_time_millis: 660, usercpu_time_millis_testing: 560, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8744, kappa: 0.6698, kb_relative_information_score: 42958.6719, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8784, predictive_accuracy: 0.8799, prior_entropy: 0.8395, recall: 0.8799, relative_absolute_error: 0.6081, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.7024, scimark_benchmark: 1322.3407, usercpu_time_millis: 4570, usercpu_time_millis_testing: 1400, usercpu_time_millis_training: 3170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.873, kappa: 0.681, kb_relative_information_score: 61213.7021, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8754, predictive_accuracy: 0.8715, prior_entropy: 0.8395, recall: 0.8715, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.7137, scimark_benchmark: 1347.1763, usercpu_time_millis: 73980, usercpu_time_millis_testing: 62700, usercpu_time_millis_training: 11280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8578, kappa: 0.649, kb_relative_information_score: 57631.403, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8656, predictive_accuracy: 0.8542, prior_entropy: 0.8395, recall: 0.8542, relative_absolute_error: 0.3961, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.7789, scimark_benchmark: 1331.2559, usercpu_time_millis: 140, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8686, kappa: 0.6722, kb_relative_information_score: 60179.6323, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8729, predictive_accuracy: 0.8663, prior_entropy: 0.8395, recall: 0.8663, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.7296, scimark_benchmark: 1322.3407, usercpu_time_millis: 590, usercpu_time_millis_testing: 490, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8686, kappa: 0.6722, kb_relative_information_score: 60179.6323, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8729, predictive_accuracy: 0.8663, prior_entropy: 0.8395, recall: 0.8663, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.7296, scimark_benchmark: 1342.8584, usercpu_time_millis: 680, usercpu_time_millis_testing: 550, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8686, kappa: 0.6722, kb_relative_information_score: 60179.6323, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8729, predictive_accuracy: 0.8663, prior_entropy: 0.8395, recall: 0.8663, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.7296, scimark_benchmark: 1331.4379, usercpu_time_millis: 710, usercpu_time_millis_testing: 580, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8937, kappa: 0.7249, kb_relative_information_score: 63938.0542, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8936, predictive_accuracy: 0.8956, prior_entropy: 0.8395, recall: 0.8956, relative_absolute_error: 0.3657, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.6469, scimark_benchmark: 1330.9181, usercpu_time_millis: 190, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9073, f_measure: 0.8777, kappa: 0.6876, kb_relative_information_score: 64640.1502, mean_absolute_error: 0.1313, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8773, predictive_accuracy: 0.8782, prior_entropy: 0.8395, recall: 0.8782, relative_absolute_error: 0.3341, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.7223, scimark_benchmark: 1345.5961, usercpu_time_millis: 125380, usercpu_time_millis_testing: 390, usercpu_time_millis_training: 124990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8686, kappa: 0.6722, kb_relative_information_score: 60179.6323, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8729, predictive_accuracy: 0.8663, prior_entropy: 0.8395, recall: 0.8663, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.7296, scimark_benchmark: 1338.5214, usercpu_time_millis: 610, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8686, kappa: 0.6722, kb_relative_information_score: 60179.6323, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8729, predictive_accuracy: 0.8663, prior_entropy: 0.8395, recall: 0.8663, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.7296, scimark_benchmark: 1345.6844, usercpu_time_millis: 610, usercpu_time_millis_testing: 510, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8686, kappa: 0.6722, kb_relative_information_score: 60179.6323, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8729, predictive_accuracy: 0.8663, prior_entropy: 0.8395, recall: 0.8663, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.7296, scimark_benchmark: 1374.9737, usercpu_time_millis: 660, usercpu_time_millis_testing: 550, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8768, kappa: 0.6832, kb_relative_information_score: 56702.9959, mean_absolute_error: 0.1699, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8761, predictive_accuracy: 0.8782, prior_entropy: 0.8395, recall: 0.8782, relative_absolute_error: 0.4324, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.6896, scimark_benchmark: 1326.2019, usercpu_time_millis: 3830, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8686, kappa: 0.6722, kb_relative_information_score: 60179.6323, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8729, predictive_accuracy: 0.8663, prior_entropy: 0.8395, recall: 0.8663, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.7296, scimark_benchmark: 1318.4315, usercpu_time_millis: 540, usercpu_time_millis_testing: 440, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8744, kappa: 0.6698, kb_relative_information_score: 42958.6719, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8784, predictive_accuracy: 0.8799, prior_entropy: 0.8395, recall: 0.8799, relative_absolute_error: 0.6081, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3113, root_relative_squared_error: 0.7024, scimark_benchmark: 1335.5309, usercpu_time_millis: 2650, usercpu_time_millis_testing: 620, usercpu_time_millis_training: 2030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8937, kappa: 0.7249, kb_relative_information_score: 63938.0542, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8936, predictive_accuracy: 0.8956, prior_entropy: 0.8395, recall: 0.8956, relative_absolute_error: 0.3657, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.6469, scimark_benchmark: 1342.2845, usercpu_time_millis: 210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.896, kappa: 0.7353, kb_relative_information_score: 51038.7024, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.896, predictive_accuracy: 0.896, prior_entropy: 0.8395, recall: 0.896, relative_absolute_error: 0.4941, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.6376, scimark_benchmark: 1350.1007, usercpu_time_millis: 1190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.8925, kappa: 0.7247, kb_relative_information_score: 60199.8031, mean_absolute_error: 0.1614, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8921, predictive_accuracy: 0.8933, prior_entropy: 0.8395, recall: 0.8933, relative_absolute_error: 0.4108, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2812, root_relative_squared_error: 0.6344, scimark_benchmark: 1347.1763, usercpu_time_millis: 33600, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 33590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8578, kappa: 0.649, kb_relative_information_score: 57631.403, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8656, predictive_accuracy: 0.8542, prior_entropy: 0.8395, recall: 0.8542, relative_absolute_error: 0.3961, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.7789, scimark_benchmark: 1352.3373, usercpu_time_millis: 120, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9306, f_measure: 0.873, kappa: 0.681, kb_relative_information_score: 61213.7021, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8754, predictive_accuracy: 0.8715, prior_entropy: 0.8395, recall: 0.8715, relative_absolute_error: 0.3685, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3163, root_relative_squared_error: 0.7137, scimark_benchmark: 1310.4278, usercpu_time_millis: 73250, usercpu_time_millis_testing: 63890, usercpu_time_millis_training: 9360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8937, kappa: 0.7249, kb_relative_information_score: 63938.0542, mean_absolute_error: 0.1437, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8936, predictive_accuracy: 0.8956, prior_entropy: 0.8395, recall: 0.8956, relative_absolute_error: 0.3657, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.2867, root_relative_squared_error: 0.6469, scimark_benchmark: 940.3347, usercpu_time_millis: 290, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9281, f_measure: 0.8686, kappa: 0.6722, kb_relative_information_score: 60179.6323, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.3929, number_of_instances: 101080, precision: 0.8729, predictive_accuracy: 0.8663, prior_entropy: 0.8395, recall: 0.8663, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.4432, root_mean_squared_error: 0.3234, root_relative_squared_error: 0.7296, scimark_benchmark: 1344.0499, usercpu_time_millis: 700, usercpu_time_millis_testing: 590, usercpu_time_millis_training: 110,

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