Task
Supervised Classification on ipums_la_99-small

Supervised Classification on ipums_la_99-small

Task 4586 Supervised Classification ipums_la_99-small 218 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7275, f_measure: 0.9091, kappa: 0.0648, kb_relative_information_score: -28136.1603, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9061, predictive_accuracy: 0.9351, prior_entropy: 0.3444, recall: 0.9351, relative_absolute_error: 0.9261, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.9768, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.9104, kappa: 0.081, kb_relative_information_score: -132945.4125, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9085, predictive_accuracy: 0.9353, prior_entropy: 0.3444, recall: 0.9353, relative_absolute_error: 1.1748, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.97, scimark_benchmark: 972.587, usercpu_time_millis: 1610, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.9096, kappa: 0.0704, kb_relative_information_score: -36737.9413, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9079, predictive_accuracy: 0.9354, prior_entropy: 0.3444, recall: 0.9354, relative_absolute_error: 0.8463, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.223, root_relative_squared_error: 0.9096, scimark_benchmark: 934.3687, usercpu_time_millis: 19850, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 19840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.9091, kappa: 0.0875, kb_relative_information_score: -7692.8861, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.8994, predictive_accuracy: 0.9312, prior_entropy: 0.3444, recall: 0.9312, relative_absolute_error: 0.7124, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.99, scimark_benchmark: 936.8075, usercpu_time_millis: 24740940, usercpu_time_millis_testing: 168790, usercpu_time_millis_training: 24572150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9047, kappa: -0, kb_relative_information_score: 21457.2217, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.8757, predictive_accuracy: 0.9358, prior_entropy: 0.3444, recall: 0.9358, relative_absolute_error: 0.534, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2534, root_relative_squared_error: 1.0338, scimark_benchmark: 916.0735, usercpu_time_millis: 297370, usercpu_time_millis_testing: 65270, usercpu_time_millis_training: 232100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.8723, kappa: 0.2481, kb_relative_information_score: -117611.4699, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9192, predictive_accuracy: 0.8415, prior_entropy: 0.3444, recall: 0.8415, relative_absolute_error: 1.414, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.3529, root_relative_squared_error: 1.4395, scimark_benchmark: 941.6675, usercpu_time_millis: 640, usercpu_time_millis_testing: 450, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.8723, kappa: 0.2481, kb_relative_information_score: -117611.4699, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9192, predictive_accuracy: 0.8415, prior_entropy: 0.3444, recall: 0.8415, relative_absolute_error: 1.414, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.3529, root_relative_squared_error: 1.4395, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.9147, kappa: 0.1348, kb_relative_information_score: -33292.2691, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9154, predictive_accuracy: 0.9367, prior_entropy: 0.3444, recall: 0.9367, relative_absolute_error: 0.8082, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.921, scimark_benchmark: 941.6675, usercpu_time_millis: 2120, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 2100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, f_measure: 0.9129, kappa: 0.1387, kb_relative_information_score: 12532.6752, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9057, predictive_accuracy: 0.9319, prior_entropy: 0.3444, recall: 0.9319, relative_absolute_error: 0.5903, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2537, root_relative_squared_error: 1.0349, scimark_benchmark: 944.1067, usercpu_time_millis: 43120, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 42970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.9099, kappa: 0.0654, kb_relative_information_score: -36310.4139, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9227, predictive_accuracy: 0.9372, prior_entropy: 0.3444, recall: 0.9372, relative_absolute_error: 0.8277, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.9174, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9047, kappa: -0, kb_relative_information_score: 21457.2217, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.8757, predictive_accuracy: 0.9358, prior_entropy: 0.3444, recall: 0.9358, relative_absolute_error: 0.534, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2534, root_relative_squared_error: 1.0338, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9047, kappa: -0, kb_relative_information_score: 21457.2217, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.8757, predictive_accuracy: 0.9358, prior_entropy: 0.3444, recall: 0.9358, relative_absolute_error: 0.534, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2534, root_relative_squared_error: 1.0338, scimark_benchmark: 932.438, usercpu_time_millis: 283300, usercpu_time_millis_testing: 63480, usercpu_time_millis_training: 219820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.8031, kappa: 0.1979, kb_relative_information_score: -215541.9997, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9303, predictive_accuracy: 0.7367, prior_entropy: 0.3444, recall: 0.7367, relative_absolute_error: 2.1901, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.9372, scimark_benchmark: 974.2014, usercpu_time_millis: 220, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.8723, kappa: 0.2481, kb_relative_information_score: -117611.4699, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9192, predictive_accuracy: 0.8415, prior_entropy: 0.3444, recall: 0.8415, relative_absolute_error: 1.414, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.3529, root_relative_squared_error: 1.4395, scimark_benchmark: 974.2014, usercpu_time_millis: 490, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.9099, kappa: 0.0654, kb_relative_information_score: -36310.4139, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9227, predictive_accuracy: 0.9372, prior_entropy: 0.3444, recall: 0.9372, relative_absolute_error: 0.8277, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.9174, scimark_benchmark: 937.5117, usercpu_time_millis: 3030, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 2530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7275, f_measure: 0.9091, kappa: 0.0648, kb_relative_information_score: -28136.1603, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9061, predictive_accuracy: 0.9351, prior_entropy: 0.3444, recall: 0.9351, relative_absolute_error: 0.9261, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.9768, scimark_benchmark: 942.2392, usercpu_time_millis: 210, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.9104, kappa: 0.081, kb_relative_information_score: -132945.4125, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9085, predictive_accuracy: 0.9353, prior_entropy: 0.3444, recall: 0.9353, relative_absolute_error: 1.1748, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.97, scimark_benchmark: 901.6243, usercpu_time_millis: 1120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.9096, kappa: 0.0704, kb_relative_information_score: -36737.9413, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9079, predictive_accuracy: 0.9354, prior_entropy: 0.3444, recall: 0.9354, relative_absolute_error: 0.8463, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.223, root_relative_squared_error: 0.9096, scimark_benchmark: 936.2574, usercpu_time_millis: 17430, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 17420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9047, kappa: -0, kb_relative_information_score: 21457.2217, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.8757, predictive_accuracy: 0.9358, prior_entropy: 0.3444, recall: 0.9358, relative_absolute_error: 0.534, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2534, root_relative_squared_error: 1.0338, scimark_benchmark: 937.5683, usercpu_time_millis: 277440, usercpu_time_millis_testing: 60500, usercpu_time_millis_training: 216940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9047, kappa: -0, kb_relative_information_score: 21457.2217, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.8757, predictive_accuracy: 0.9358, prior_entropy: 0.3444, recall: 0.9358, relative_absolute_error: 0.534, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2534, root_relative_squared_error: 1.0338, scimark_benchmark: 926.5462, usercpu_time_millis: 293250, usercpu_time_millis_testing: 61300, usercpu_time_millis_training: 231950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.8723, kappa: 0.2481, kb_relative_information_score: -117611.4699, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9192, predictive_accuracy: 0.8415, prior_entropy: 0.3444, recall: 0.8415, relative_absolute_error: 1.414, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.3529, root_relative_squared_error: 1.4395, scimark_benchmark: 930.404, usercpu_time_millis: 540, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.8723, kappa: 0.2481, kb_relative_information_score: -117611.4699, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9192, predictive_accuracy: 0.8415, prior_entropy: 0.3444, recall: 0.8415, relative_absolute_error: 1.414, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.3529, root_relative_squared_error: 1.4395, scimark_benchmark: 933.3455, usercpu_time_millis: 530, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.9147, kappa: 0.1348, kb_relative_information_score: -33292.2691, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9154, predictive_accuracy: 0.9367, prior_entropy: 0.3444, recall: 0.9367, relative_absolute_error: 0.8082, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.921, scimark_benchmark: 933.3455, usercpu_time_millis: 1930, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.8723, kappa: 0.2481, kb_relative_information_score: -117611.4699, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9192, predictive_accuracy: 0.8415, prior_entropy: 0.3444, recall: 0.8415, relative_absolute_error: 1.414, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.3529, root_relative_squared_error: 1.4395, scimark_benchmark: 944.0133, usercpu_time_millis: 580, usercpu_time_millis_testing: 430, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, f_measure: 0.9129, kappa: 0.1387, kb_relative_information_score: 12532.6752, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9057, predictive_accuracy: 0.9319, prior_entropy: 0.3444, recall: 0.9319, relative_absolute_error: 0.5903, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2537, root_relative_squared_error: 1.0349, scimark_benchmark: 941.3057, usercpu_time_millis: 49000, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 48830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.9165, kappa: 0.153, kb_relative_information_score: -32122.8088, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9205, predictive_accuracy: 0.9381, prior_entropy: 0.3444, recall: 0.9381, relative_absolute_error: 0.8164, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.899, scimark_benchmark: 936.2574, usercpu_time_millis: 1154470, usercpu_time_millis_testing: 256160, usercpu_time_millis_training: 898310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.9099, kappa: 0.0654, kb_relative_information_score: -36310.4139, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9227, predictive_accuracy: 0.9372, prior_entropy: 0.3444, recall: 0.9372, relative_absolute_error: 0.8277, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.9174, scimark_benchmark: 938.988, usercpu_time_millis: 3140, usercpu_time_millis_testing: 400, usercpu_time_millis_training: 2740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.9171, kappa: 0.161, kb_relative_information_score: -32299.2405, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.921, predictive_accuracy: 0.9383, prior_entropy: 0.3444, recall: 0.9383, relative_absolute_error: 0.8162, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.9005, scimark_benchmark: 941.4991, usercpu_time_millis: 583020, usercpu_time_millis_testing: 132660, usercpu_time_millis_training: 450360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8873, f_measure: 0.9174, kappa: 0.1664, kb_relative_information_score: -32085.52, mean_absolute_error: 0.0981, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9201, predictive_accuracy: 0.9381, prior_entropy: 0.3444, recall: 0.9381, relative_absolute_error: 0.8158, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.904, scimark_benchmark: 933.4823, usercpu_time_millis: 292770, usercpu_time_millis_testing: 68710, usercpu_time_millis_training: 224060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8792, f_measure: 0.9175, kappa: 0.1728, kb_relative_information_score: -33167.3913, mean_absolute_error: 0.0984, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9178, predictive_accuracy: 0.9373, prior_entropy: 0.3444, recall: 0.9373, relative_absolute_error: 0.8179, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.9132, scimark_benchmark: 896.2424, usercpu_time_millis: 180540, usercpu_time_millis_testing: 39820, usercpu_time_millis_training: 140720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8698, f_measure: 0.918, kappa: 0.1878, kb_relative_information_score: -32460.2969, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.915, predictive_accuracy: 0.9359, prior_entropy: 0.3444, recall: 0.9359, relative_absolute_error: 0.813, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2263, root_relative_squared_error: 0.9232, scimark_benchmark: 896.2181, usercpu_time_millis: 74290, usercpu_time_millis_testing: 11720, usercpu_time_millis_training: 62570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.909, kappa: 0.0547, kb_relative_information_score: -39872.5464, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9187, predictive_accuracy: 0.9367, prior_entropy: 0.3444, recall: 0.9367, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.9132, scimark_benchmark: 936.1714, usercpu_time_millis: 190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.909, kappa: 0.0547, kb_relative_information_score: -39872.5464, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9187, predictive_accuracy: 0.9367, prior_entropy: 0.3444, recall: 0.9367, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.9132, scimark_benchmark: 938.3115, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.909, kappa: 0.0547, kb_relative_information_score: -39872.5464, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9187, predictive_accuracy: 0.9367, prior_entropy: 0.3444, recall: 0.9367, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.9132, scimark_benchmark: 929.0296, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.909, kappa: 0.0547, kb_relative_information_score: -39872.5464, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9187, predictive_accuracy: 0.9367, prior_entropy: 0.3444, recall: 0.9367, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2239, root_relative_squared_error: 0.9132, scimark_benchmark: 926.5859, usercpu_time_millis: 210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 200,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.8723, kappa: 0.2481, kb_relative_information_score: -117611.4699, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9192, predictive_accuracy: 0.8415, prior_entropy: 0.3444, recall: 0.8415, relative_absolute_error: 1.414, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.3529, root_relative_squared_error: 1.4395, scimark_benchmark: 1340.9749, usercpu_time_millis: 370, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.8723, kappa: 0.2481, kb_relative_information_score: -117611.4699, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9192, predictive_accuracy: 0.8415, prior_entropy: 0.3444, recall: 0.8415, relative_absolute_error: 1.414, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.3529, root_relative_squared_error: 1.4395, scimark_benchmark: 1340.9749, usercpu_time_millis: 360, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.8723, kappa: 0.2481, kb_relative_information_score: -117611.4699, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9192, predictive_accuracy: 0.8415, prior_entropy: 0.3444, recall: 0.8415, relative_absolute_error: 1.414, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.3529, root_relative_squared_error: 1.4395, scimark_benchmark: 1338.5214, usercpu_time_millis: 400, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.9104, kappa: 0.081, kb_relative_information_score: -132945.4125, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9085, predictive_accuracy: 0.9353, prior_entropy: 0.3444, recall: 0.9353, relative_absolute_error: 1.1748, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.97, scimark_benchmark: 1313.8988, usercpu_time_millis: 770, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 760,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.8723, kappa: 0.2481, kb_relative_information_score: -117611.4699, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9192, predictive_accuracy: 0.8415, prior_entropy: 0.3444, recall: 0.8415, relative_absolute_error: 1.414, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.3529, root_relative_squared_error: 1.4395, scimark_benchmark: 1324.6442, usercpu_time_millis: 390, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.8723, kappa: 0.2481, kb_relative_information_score: -117611.4699, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9192, predictive_accuracy: 0.8415, prior_entropy: 0.3444, recall: 0.8415, relative_absolute_error: 1.414, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.3529, root_relative_squared_error: 1.4395, scimark_benchmark: 1306.9281, usercpu_time_millis: 390, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.8723, kappa: 0.2481, kb_relative_information_score: -117611.4699, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9192, predictive_accuracy: 0.8415, prior_entropy: 0.3444, recall: 0.8415, relative_absolute_error: 1.414, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.3529, root_relative_squared_error: 1.4395, scimark_benchmark: 1317.5857, usercpu_time_millis: 380, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.8723, kappa: 0.2481, kb_relative_information_score: -117611.4699, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9192, predictive_accuracy: 0.8415, prior_entropy: 0.3444, recall: 0.8415, relative_absolute_error: 1.414, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.3529, root_relative_squared_error: 1.4395, scimark_benchmark: 1338.5214, usercpu_time_millis: 390, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.8031, kappa: 0.1979, kb_relative_information_score: -215541.9997, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9303, predictive_accuracy: 0.7367, prior_entropy: 0.3444, recall: 0.7367, relative_absolute_error: 2.1901, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.9372, scimark_benchmark: 1322.3407, usercpu_time_millis: 160, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.8723, kappa: 0.2481, kb_relative_information_score: -117611.4699, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9192, predictive_accuracy: 0.8415, prior_entropy: 0.3444, recall: 0.8415, relative_absolute_error: 1.414, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.3529, root_relative_squared_error: 1.4395, scimark_benchmark: 1324.7884, usercpu_time_millis: 420, usercpu_time_millis_testing: 320, usercpu_time_millis_training: 100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.8723, kappa: 0.2481, kb_relative_information_score: -117611.4699, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9192, predictive_accuracy: 0.8415, prior_entropy: 0.3444, recall: 0.8415, relative_absolute_error: 1.414, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.3529, root_relative_squared_error: 1.4395, scimark_benchmark: 1337.9552, usercpu_time_millis: 380, usercpu_time_millis_testing: 290, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.8723, kappa: 0.2481, kb_relative_information_score: -117611.4699, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9192, predictive_accuracy: 0.8415, prior_entropy: 0.3444, recall: 0.8415, relative_absolute_error: 1.414, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.3529, root_relative_squared_error: 1.4395, scimark_benchmark: 1322.3407, usercpu_time_millis: 360, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8286, f_measure: 0.9091, kappa: 0.0875, kb_relative_information_score: -7692.8861, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.8994, predictive_accuracy: 0.9312, prior_entropy: 0.3444, recall: 0.9312, relative_absolute_error: 0.7124, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.99, scimark_benchmark: 916.5769, usercpu_time_millis: 22386190, usercpu_time_millis_testing: 157680, usercpu_time_millis_training: 22228510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7275, f_measure: 0.9091, kappa: 0.0648, kb_relative_information_score: -28136.1603, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9061, predictive_accuracy: 0.9351, prior_entropy: 0.3444, recall: 0.9351, relative_absolute_error: 0.9261, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.9768, scimark_benchmark: 1330.9181, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.9104, kappa: 0.081, kb_relative_information_score: -132945.4125, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9085, predictive_accuracy: 0.9353, prior_entropy: 0.3444, recall: 0.9353, relative_absolute_error: 1.1748, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.97, scimark_benchmark: 1314.2279, usercpu_time_millis: 920, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.8723, kappa: 0.2481, kb_relative_information_score: -117611.4699, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9192, predictive_accuracy: 0.8415, prior_entropy: 0.3444, recall: 0.8415, relative_absolute_error: 1.414, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.3529, root_relative_squared_error: 1.4395, scimark_benchmark: 1374.9737, usercpu_time_millis: 410, usercpu_time_millis_testing: 310, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7386, f_measure: 0.9129, kappa: 0.1387, kb_relative_information_score: 12532.6752, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9057, predictive_accuracy: 0.9319, prior_entropy: 0.3444, recall: 0.9319, relative_absolute_error: 0.5903, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2537, root_relative_squared_error: 1.0349, scimark_benchmark: 1306.9281, usercpu_time_millis: 53190, usercpu_time_millis_testing: 410, usercpu_time_millis_training: 52780,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.8723, kappa: 0.2481, kb_relative_information_score: -117611.4699, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9192, predictive_accuracy: 0.8415, prior_entropy: 0.3444, recall: 0.8415, relative_absolute_error: 1.414, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.3529, root_relative_squared_error: 1.4395, scimark_benchmark: 1326.2019, usercpu_time_millis: 370, usercpu_time_millis_testing: 280, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8693, f_measure: 0.9099, kappa: 0.0654, kb_relative_information_score: -36310.4139, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9227, predictive_accuracy: 0.9372, prior_entropy: 0.3444, recall: 0.9372, relative_absolute_error: 0.8277, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.9174, scimark_benchmark: 1345.5961, usercpu_time_millis: 3310, usercpu_time_millis_testing: 720, usercpu_time_millis_training: 2590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7275, f_measure: 0.9091, kappa: 0.0648, kb_relative_information_score: -28136.1603, mean_absolute_error: 0.1114, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9061, predictive_accuracy: 0.9351, prior_entropy: 0.3444, recall: 0.9351, relative_absolute_error: 0.9261, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2395, root_relative_squared_error: 0.9768, scimark_benchmark: 1309.4708, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9047, kappa: -0, kb_relative_information_score: 21457.2217, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.8757, predictive_accuracy: 0.9358, prior_entropy: 0.3444, recall: 0.9358, relative_absolute_error: 0.534, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2534, root_relative_squared_error: 1.0338, scimark_benchmark: 1304.4677, usercpu_time_millis: 336960, usercpu_time_millis_testing: 73790, usercpu_time_millis_training: 263170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8881, f_measure: 0.9096, kappa: 0.0704, kb_relative_information_score: -36737.9413, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9079, predictive_accuracy: 0.9354, prior_entropy: 0.3444, recall: 0.9354, relative_absolute_error: 0.8463, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.223, root_relative_squared_error: 0.9096, scimark_benchmark: 1321.8132, usercpu_time_millis: 13900, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 13890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9047, kappa: -0, kb_relative_information_score: 21457.2217, mean_absolute_error: 0.0642, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.8757, predictive_accuracy: 0.9358, prior_entropy: 0.3444, recall: 0.9358, relative_absolute_error: 0.534, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2534, root_relative_squared_error: 1.0338, scimark_benchmark: 1320.2063, usercpu_time_millis: 373130, usercpu_time_millis_testing: 80150, usercpu_time_millis_training: 292980,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8911, f_measure: 0.9104, kappa: 0.081, kb_relative_information_score: -132945.4125, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9085, predictive_accuracy: 0.9353, prior_entropy: 0.3444, recall: 0.9353, relative_absolute_error: 1.1748, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.97, scimark_benchmark: 1357.7543, usercpu_time_millis: 860, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.8723, kappa: 0.2481, kb_relative_information_score: -117611.4699, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.1203, number_of_instances: 88440, precision: 0.9192, predictive_accuracy: 0.8415, prior_entropy: 0.3444, recall: 0.8415, relative_absolute_error: 1.414, root_mean_prior_squared_error: 0.2452, root_mean_squared_error: 0.3529, root_relative_squared_error: 1.4395, scimark_benchmark: 1260.1387, usercpu_time_millis: 350, usercpu_time_millis_testing: 270, usercpu_time_millis_training: 80,
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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