Task
Supervised Classification on mw1

Supervised Classification on mw1

Task 4625 Supervised Classification mw1 206 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, f_measure: 0.9103, kappa: 0.2976, kb_relative_information_score: 442.2621, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.905, predictive_accuracy: 0.9213, prior_entropy: 0.3987, recall: 0.9213, relative_absolute_error: 0.8076, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.9641, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, f_measure: 0.8986, kappa: 0.1893, kb_relative_information_score: -2701.6808, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8901, predictive_accuracy: 0.9141, prior_entropy: 0.3987, recall: 0.9141, relative_absolute_error: 1.038, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.0196, scimark_benchmark: 972.587, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.8993, kappa: 0.2523, kb_relative_information_score: -904.5001, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8945, predictive_accuracy: 0.905, prior_entropy: 0.3987, recall: 0.905, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2775, root_relative_squared_error: 1.0414, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.8787, kappa: 0.2871, kb_relative_information_score: -1445.373, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.9034, predictive_accuracy: 0.861, prior_entropy: 0.3987, recall: 0.861, relative_absolute_error: 0.9665, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.3661, root_relative_squared_error: 1.3737, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.9114, kappa: 0.3368, kb_relative_information_score: -693.3871, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.9072, predictive_accuracy: 0.9174, prior_entropy: 0.3987, recall: 0.9174, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.0194, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.9114, kappa: 0.3368, kb_relative_information_score: -693.3871, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.9072, predictive_accuracy: 0.9174, prior_entropy: 0.3987, recall: 0.9174, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.0194, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.9114, kappa: 0.3368, kb_relative_information_score: -693.3871, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.9072, predictive_accuracy: 0.9174, prior_entropy: 0.3987, recall: 0.9174, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.0194, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, f_measure: 0.897, kappa: 0.127, kb_relative_information_score: -957.9124, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8944, predictive_accuracy: 0.9226, prior_entropy: 0.3987, recall: 0.9226, relative_absolute_error: 0.8927, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.948, scimark_benchmark: 938.191, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.9117, kappa: 0.3032, kb_relative_information_score: -426.4755, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.907, predictive_accuracy: 0.9236, prior_entropy: 0.3987, recall: 0.9236, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.253, root_relative_squared_error: 0.9495, scimark_benchmark: 941.6675, usercpu_time_millis: 9010, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 8950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6238, f_measure: 0.8952, kappa: 0.1701, kb_relative_information_score: -1007.0507, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8857, predictive_accuracy: 0.9097, prior_entropy: 0.3987, recall: 0.9097, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2815, root_relative_squared_error: 1.0562, scimark_benchmark: 944.1067, usercpu_time_millis: 700, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.8838, kappa: -0.009, kb_relative_information_score: 835.4743, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8517, predictive_accuracy: 0.9184, prior_entropy: 0.3987, recall: 0.9184, relative_absolute_error: 0.5678, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2857, root_relative_squared_error: 1.0722, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.8838, kappa: -0.009, kb_relative_information_score: 835.4743, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8517, predictive_accuracy: 0.9184, prior_entropy: 0.3987, recall: 0.9184, relative_absolute_error: 0.5678, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2857, root_relative_squared_error: 1.0722, scimark_benchmark: 944.1783, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.8787, kappa: 0.2871, kb_relative_information_score: -1445.373, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.9034, predictive_accuracy: 0.861, prior_entropy: 0.3987, recall: 0.861, relative_absolute_error: 0.9665, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.3661, root_relative_squared_error: 1.3737, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7605, f_measure: 0.9002, kappa: 0.2026, kb_relative_information_score: -1508.7199, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8922, predictive_accuracy: 0.9154, prior_entropy: 0.3987, recall: 0.9154, relative_absolute_error: 0.8762, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.9771, scimark_benchmark: 943.1009, usercpu_time_millis: 130, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, f_measure: 0.9103, kappa: 0.2976, kb_relative_information_score: 442.2621, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.905, predictive_accuracy: 0.9213, prior_entropy: 0.3987, recall: 0.9213, relative_absolute_error: 0.8076, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.9641, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.8986, kappa: 0.1893, kb_relative_information_score: -2698.8332, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8901, predictive_accuracy: 0.9141, prior_entropy: 0.3987, recall: 0.9141, relative_absolute_error: 1.0377, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2716, root_relative_squared_error: 1.0194, scimark_benchmark: 901.6243, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.8993, kappa: 0.2523, kb_relative_information_score: -904.5001, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8945, predictive_accuracy: 0.905, prior_entropy: 0.3987, recall: 0.905, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2775, root_relative_squared_error: 1.0414, scimark_benchmark: 944.0133, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.8838, kappa: -0.009, kb_relative_information_score: 835.4743, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8517, predictive_accuracy: 0.9184, prior_entropy: 0.3987, recall: 0.9184, relative_absolute_error: 0.5678, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2857, root_relative_squared_error: 1.0722, scimark_benchmark: 945.6228, usercpu_time_millis: 150, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.8838, kappa: -0.009, kb_relative_information_score: 835.4743, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8517, predictive_accuracy: 0.9184, prior_entropy: 0.3987, recall: 0.9184, relative_absolute_error: 0.5678, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2857, root_relative_squared_error: 1.0722, scimark_benchmark: 934.5964, usercpu_time_millis: 180, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.9114, kappa: 0.3368, kb_relative_information_score: -693.3871, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.9072, predictive_accuracy: 0.9174, prior_entropy: 0.3987, recall: 0.9174, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.0194, scimark_benchmark: 930.404, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.9114, kappa: 0.3368, kb_relative_information_score: -693.3871, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.9072, predictive_accuracy: 0.9174, prior_entropy: 0.3987, recall: 0.9174, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.0194, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.9114, kappa: 0.3368, kb_relative_information_score: -693.3871, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.9072, predictive_accuracy: 0.9174, prior_entropy: 0.3987, recall: 0.9174, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.0194, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, f_measure: 0.897, kappa: 0.127, kb_relative_information_score: -957.9124, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8944, predictive_accuracy: 0.9226, prior_entropy: 0.3987, recall: 0.9226, relative_absolute_error: 0.8927, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.948, scimark_benchmark: 941.4991, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.9117, kappa: 0.3032, kb_relative_information_score: -426.4755, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.907, predictive_accuracy: 0.9236, prior_entropy: 0.3987, recall: 0.9236, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.253, root_relative_squared_error: 0.9495, scimark_benchmark: 941.4991, usercpu_time_millis: 5960, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 5910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.9114, kappa: 0.3368, kb_relative_information_score: -693.3871, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.9072, predictive_accuracy: 0.9174, prior_entropy: 0.3987, recall: 0.9174, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.0194, scimark_benchmark: 944.0133, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6238, f_measure: 0.8952, kappa: 0.1701, kb_relative_information_score: -1007.0507, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8857, predictive_accuracy: 0.9097, prior_entropy: 0.3987, recall: 0.9097, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2815, root_relative_squared_error: 1.0562, scimark_benchmark: 942.2392, usercpu_time_millis: 690, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7605, f_measure: 0.9002, kappa: 0.2026, kb_relative_information_score: -1508.7199, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8922, predictive_accuracy: 0.9154, prior_entropy: 0.3987, recall: 0.9154, relative_absolute_error: 0.8762, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.9771, scimark_benchmark: 938.988, usercpu_time_millis: 140, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7074, f_measure: 0.9158, kappa: 0.3168, kb_relative_information_score: 24.4061, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.9156, predictive_accuracy: 0.9305, prior_entropy: 0.3987, recall: 0.9305, relative_absolute_error: 0.8076, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.9073, scimark_benchmark: 926.5462, usercpu_time_millis: 7490, usercpu_time_millis_testing: 3370, usercpu_time_millis_training: 4120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7086, f_measure: 0.9134, kappa: 0.2954, kb_relative_information_score: 9.4575, mean_absolute_error: 0.1162, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.9124, predictive_accuracy: 0.9288, prior_entropy: 0.3987, recall: 0.9288, relative_absolute_error: 0.8082, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.9096, scimark_benchmark: 958.8462, usercpu_time_millis: 5280, usercpu_time_millis_testing: 2750, usercpu_time_millis_training: 2530,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7063, f_measure: 0.9098, kappa: 0.2626, kb_relative_information_score: -22.0261, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.9079, predictive_accuracy: 0.9266, prior_entropy: 0.3987, recall: 0.9266, relative_absolute_error: 0.8122, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.9149, scimark_benchmark: 942.2392, usercpu_time_millis: 1420, usercpu_time_millis_testing: 470, usercpu_time_millis_training: 950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.9107, kappa: 0.2694, kb_relative_information_score: -24.1622, mean_absolute_error: 0.1159, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.9097, predictive_accuracy: 0.9275, prior_entropy: 0.3987, recall: 0.9275, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2439, root_relative_squared_error: 0.9151, scimark_benchmark: 922.613, usercpu_time_millis: 630, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7016, f_measure: 0.9119, kappa: 0.2895, kb_relative_information_score: -183.241, mean_absolute_error: 0.1171, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.9091, predictive_accuracy: 0.9266, prior_entropy: 0.3987, recall: 0.9266, relative_absolute_error: 0.8143, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.247, root_relative_squared_error: 0.927, scimark_benchmark: 935.0213, usercpu_time_millis: 310, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.9041, kappa: 0.2209, kb_relative_information_score: -252.0298, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8985, predictive_accuracy: 0.9211, prior_entropy: 0.3987, recall: 0.9211, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.9559, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.9041, kappa: 0.2209, kb_relative_information_score: -252.0298, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8985, predictive_accuracy: 0.9211, prior_entropy: 0.3987, recall: 0.9211, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.9559, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.9041, kappa: 0.2209, kb_relative_information_score: -252.0298, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8985, predictive_accuracy: 0.9211, prior_entropy: 0.3987, recall: 0.9211, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.9559, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.9041, kappa: 0.2209, kb_relative_information_score: -252.0298, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8985, predictive_accuracy: 0.9211, prior_entropy: 0.3987, recall: 0.9211, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.9559, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.9041, kappa: 0.2209, kb_relative_information_score: -252.0298, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8985, predictive_accuracy: 0.9211, prior_entropy: 0.3987, recall: 0.9211, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.9559, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4834, f_measure: 0.8862, kb_relative_information_score: -66.0792, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8521, predictive_accuracy: 0.9231, prior_entropy: 0.3987, recall: 0.9231, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2665, root_relative_squared_error: 1.0001, scimark_benchmark: 929.0296,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7264, f_measure: 0.9045, kappa: 0.2226, kb_relative_information_score: 944.1547, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8992, predictive_accuracy: 0.9216, prior_entropy: 0.3987, recall: 0.9216, relative_absolute_error: 0.5488, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2705, root_relative_squared_error: 1.0149, scimark_benchmark: 929.0296, usercpu_time_millis: 260, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 250,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.735, f_measure: 0.9, kappa: 0.2034, kb_relative_information_score: 694.901, mean_absolute_error: 0.0851, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8919, predictive_accuracy: 0.9146, prior_entropy: 0.3987, recall: 0.9146, relative_absolute_error: 0.5915, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2802, root_relative_squared_error: 1.0516, scimark_benchmark: 941.9549, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.731, f_measure: 0.8996, kappa: 0.2019, kb_relative_information_score: 629.0625, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8915, predictive_accuracy: 0.9141, prior_entropy: 0.3987, recall: 0.9141, relative_absolute_error: 0.6003, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2846, root_relative_squared_error: 1.068, scimark_benchmark: 929.0296, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8862, kb_relative_information_score: 1015.6394, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8521, predictive_accuracy: 0.9231, prior_entropy: 0.3987, recall: 0.9231, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2774, root_relative_squared_error: 1.0408, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4506, f_measure: 0.9003, kappa: 0.2208, kb_relative_information_score: 44.0728, mean_absolute_error: 0.1242, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8927, predictive_accuracy: 0.9124, prior_entropy: 0.3987, recall: 0.9124, relative_absolute_error: 0.8641, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.287, root_relative_squared_error: 1.077, scimark_benchmark: 922.8232, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.656, f_measure: 0.8992, kappa: 0.202, kb_relative_information_score: -1034.4812, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.891, predictive_accuracy: 0.9132, prior_entropy: 0.3987, recall: 0.9132, relative_absolute_error: 0.979, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2665, root_relative_squared_error: 1, scimark_benchmark: 929.0296, usercpu_time_millis: 670, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 660,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.8998, kappa: 0.1477, kb_relative_information_score: -947.2314, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.9034, predictive_accuracy: 0.9253, prior_entropy: 0.3987, recall: 0.9253, relative_absolute_error: 0.8453, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2471, root_relative_squared_error: 0.9272, scimark_benchmark: 931.7994, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5768, f_measure: 0.9103, kappa: 0.2976, kb_relative_information_score: 442.2621, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.905, predictive_accuracy: 0.9213, prior_entropy: 0.3987, recall: 0.9213, relative_absolute_error: 0.8076, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.9641, scimark_benchmark: 934.929, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.8986, kappa: 0.1893, kb_relative_information_score: -2698.8332, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8901, predictive_accuracy: 0.9141, prior_entropy: 0.3987, recall: 0.9141, relative_absolute_error: 1.0377, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2716, root_relative_squared_error: 1.0194, scimark_benchmark: 906.0994, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7433, f_measure: 0.8993, kappa: 0.2523, kb_relative_information_score: -904.5001, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8945, predictive_accuracy: 0.905, prior_entropy: 0.3987, recall: 0.905, relative_absolute_error: 0.8512, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2775, root_relative_squared_error: 1.0414, scimark_benchmark: 910.2571, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.8838, kappa: -0.009, kb_relative_information_score: 835.4743, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8517, predictive_accuracy: 0.9184, prior_entropy: 0.3987, recall: 0.9184, relative_absolute_error: 0.5678, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2857, root_relative_squared_error: 1.0722, scimark_benchmark: 949.7766, usercpu_time_millis: 140, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 80,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.9117, kappa: 0.3032, kb_relative_information_score: -426.4755, mean_absolute_error: 0.1115, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.907, predictive_accuracy: 0.9236, prior_entropy: 0.3987, recall: 0.9236, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.253, root_relative_squared_error: 0.9495, scimark_benchmark: 946.9304, usercpu_time_millis: 5470, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 5410,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.8986, kappa: 0.1893, kb_relative_information_score: -2698.8332, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8901, predictive_accuracy: 0.9141, prior_entropy: 0.3987, recall: 0.9141, relative_absolute_error: 1.0377, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2716, root_relative_squared_error: 1.0194, scimark_benchmark: 944.2646, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.9114, kappa: 0.3368, kb_relative_information_score: -693.3871, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.9072, predictive_accuracy: 0.9174, prior_entropy: 0.3987, recall: 0.9174, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.0194, scimark_benchmark: 1303.5632, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7465, f_measure: 0.897, kappa: 0.127, kb_relative_information_score: -957.9124, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8944, predictive_accuracy: 0.9226, prior_entropy: 0.3987, recall: 0.9226, relative_absolute_error: 0.8927, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2526, root_relative_squared_error: 0.948, scimark_benchmark: 1349.1517, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.8787, kappa: 0.2871, kb_relative_information_score: -1445.373, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.9034, predictive_accuracy: 0.861, prior_entropy: 0.3987, recall: 0.861, relative_absolute_error: 0.9665, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.3661, root_relative_squared_error: 1.3737, scimark_benchmark: 1333.202, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.9114, kappa: 0.3368, kb_relative_information_score: -693.3871, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.9072, predictive_accuracy: 0.9174, prior_entropy: 0.3987, recall: 0.9174, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.0194, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.9114, kappa: 0.3368, kb_relative_information_score: -693.3871, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.9072, predictive_accuracy: 0.9174, prior_entropy: 0.3987, recall: 0.9174, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.0194, scimark_benchmark: 1338.5214, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.8787, kappa: 0.2871, kb_relative_information_score: -1445.373, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.9034, predictive_accuracy: 0.861, prior_entropy: 0.3987, recall: 0.861, relative_absolute_error: 0.9665, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.3661, root_relative_squared_error: 1.3737, scimark_benchmark: 1309.0674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.9114, kappa: 0.3368, kb_relative_information_score: -693.3871, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.9072, predictive_accuracy: 0.9174, prior_entropy: 0.3987, recall: 0.9174, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.0194, scimark_benchmark: 1306.9281, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.9114, kappa: 0.3368, kb_relative_information_score: -693.3871, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.9072, predictive_accuracy: 0.9174, prior_entropy: 0.3987, recall: 0.9174, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.0194, scimark_benchmark: 1306.9281, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.9114, kappa: 0.3368, kb_relative_information_score: -693.3871, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.9072, predictive_accuracy: 0.9174, prior_entropy: 0.3987, recall: 0.9174, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.0194, scimark_benchmark: 1338.5214, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.8787, kappa: 0.2871, kb_relative_information_score: -1445.373, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.9034, predictive_accuracy: 0.861, prior_entropy: 0.3987, recall: 0.861, relative_absolute_error: 0.9665, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.3661, root_relative_squared_error: 1.3737, scimark_benchmark: 1321.8321, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.9114, kappa: 0.3368, kb_relative_information_score: -693.3871, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.9072, predictive_accuracy: 0.9174, prior_entropy: 0.3987, recall: 0.9174, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.0194, scimark_benchmark: 1324.7884, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.9114, kappa: 0.3368, kb_relative_information_score: -693.3871, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.9072, predictive_accuracy: 0.9174, prior_entropy: 0.3987, recall: 0.9174, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.0194, scimark_benchmark: 1306.8702, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, f_measure: 0.8994, kappa: 0.2548, kb_relative_information_score: -905.1787, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8948, predictive_accuracy: 0.905, prior_entropy: 0.3987, recall: 0.905, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2777, root_relative_squared_error: 1.042, scimark_benchmark: 1314.2279, usercpu_time_millis: 120, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.9114, kappa: 0.3368, kb_relative_information_score: -693.3871, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.9072, predictive_accuracy: 0.9174, prior_entropy: 0.3987, recall: 0.9174, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.0194, scimark_benchmark: 1337.1928, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.9114, kappa: 0.3368, kb_relative_information_score: -693.3871, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.9072, predictive_accuracy: 0.9174, prior_entropy: 0.3987, recall: 0.9174, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.0194, scimark_benchmark: 1337.3324, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6238, f_measure: 0.8952, kappa: 0.1701, kb_relative_information_score: -1007.0507, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8857, predictive_accuracy: 0.9097, prior_entropy: 0.3987, recall: 0.9097, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2815, root_relative_squared_error: 1.0562, scimark_benchmark: 1322.1893, usercpu_time_millis: 710, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7605, f_measure: 0.9002, kappa: 0.2026, kb_relative_information_score: -1508.7199, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8922, predictive_accuracy: 0.9154, prior_entropy: 0.3987, recall: 0.9154, relative_absolute_error: 0.8762, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.9771, scimark_benchmark: 1338.5214, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7198, f_measure: 0.9102, kappa: 0.3035, kb_relative_information_score: -1018.4808, mean_absolute_error: 0.1196, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.9048, predictive_accuracy: 0.9201, prior_entropy: 0.3987, recall: 0.9201, relative_absolute_error: 0.8321, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2667, root_relative_squared_error: 1.0007, scimark_benchmark: 1342.8584, usercpu_time_millis: 240, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.739, f_measure: 0.8986, kappa: 0.1893, kb_relative_information_score: -2701.6808, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8901, predictive_accuracy: 0.9141, prior_entropy: 0.3987, recall: 0.9141, relative_absolute_error: 1.038, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.0196, scimark_benchmark: 1350.1007, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, f_measure: 0.8994, kappa: 0.2548, kb_relative_information_score: -905.1787, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8948, predictive_accuracy: 0.905, prior_entropy: 0.3987, recall: 0.905, relative_absolute_error: 0.8516, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2777, root_relative_squared_error: 1.042, scimark_benchmark: 1342.2845, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7508, f_measure: 0.91, kappa: 0.26, kb_relative_information_score: -905.1981, mean_absolute_error: 0.1235, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.9095, predictive_accuracy: 0.9275, prior_entropy: 0.3987, recall: 0.9275, relative_absolute_error: 0.8589, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2505, root_relative_squared_error: 0.9399, scimark_benchmark: 1318.6467, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.8838, kappa: -0.009, kb_relative_information_score: 835.4743, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8517, predictive_accuracy: 0.9184, prior_entropy: 0.3987, recall: 0.9184, relative_absolute_error: 0.5678, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2857, root_relative_squared_error: 1.0722, scimark_benchmark: 1345.9182, usercpu_time_millis: 220, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7319, f_measure: 0.8787, kappa: 0.2871, kb_relative_information_score: -1445.373, mean_absolute_error: 0.139, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.9034, predictive_accuracy: 0.861, prior_entropy: 0.3987, recall: 0.861, relative_absolute_error: 0.9665, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.3661, root_relative_squared_error: 1.3737, scimark_benchmark: 1343.7262, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.9114, kappa: 0.3368, kb_relative_information_score: -693.3871, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.9072, predictive_accuracy: 0.9174, prior_entropy: 0.3987, recall: 0.9174, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.0194, scimark_benchmark: 1332.7555, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.9114, kappa: 0.3368, kb_relative_information_score: -693.3871, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.9072, predictive_accuracy: 0.9174, prior_entropy: 0.3987, recall: 0.9174, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.0194, scimark_benchmark: 1325.6322, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.9114, kappa: 0.3368, kb_relative_information_score: -693.3871, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.9072, predictive_accuracy: 0.9174, prior_entropy: 0.3987, recall: 0.9174, relative_absolute_error: 0.7812, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.0194, scimark_benchmark: 1351.1238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7605, f_measure: 0.9002, kappa: 0.2026, kb_relative_information_score: -1508.7199, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8922, predictive_accuracy: 0.9154, prior_entropy: 0.3987, recall: 0.9154, relative_absolute_error: 0.8762, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.9771, scimark_benchmark: 1313.9976, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6238, f_measure: 0.8952, kappa: 0.1701, kb_relative_information_score: -1007.0507, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.1438, number_of_instances: 4030, precision: 0.8857, predictive_accuracy: 0.9097, prior_entropy: 0.3987, recall: 0.9097, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.2665, root_mean_squared_error: 0.2815, root_relative_squared_error: 1.0562, scimark_benchmark: 1302.342, usercpu_time_millis: 770, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 760,

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