OpenML
Supervised Classification on diggle_table_a2

Supervised Classification on diggle_table_a2

Task 3578 Supervised Classification diggle_table_a2 447 runs submitted
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  • study_1 study_107 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7707, f_measure: 0.1093, kappa: 0.1505, kb_relative_information_score: 98.2452, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.0693, predictive_accuracy: 0.2613, prior_entropy: 3.1238, recall: 0.2613, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.9309, scimark_benchmark: 936.6206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7707, f_measure: 0.1093, kappa: 0.1505, kb_relative_information_score: 98.2452, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.0693, predictive_accuracy: 0.2613, prior_entropy: 3.1238, recall: 0.2613, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.9309, scimark_benchmark: 942.1229, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7707, f_measure: 0.1093, kappa: 0.1505, kb_relative_information_score: 98.2452, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.0693, predictive_accuracy: 0.2613, prior_entropy: 3.1238, recall: 0.2613, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.9309, scimark_benchmark: 922.9039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7707, f_measure: 0.1093, kappa: 0.1505, kb_relative_information_score: 98.2452, mean_absolute_error: 0.1698, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.0693, predictive_accuracy: 0.2613, prior_entropy: 3.1238, recall: 0.2613, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.2914, root_relative_squared_error: 0.9309, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9935, kappa: 0.9927, kb_relative_information_score: 307.4193, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9937, predictive_accuracy: 0.9935, prior_entropy: 3.1238, recall: 0.9935, relative_absolute_error: 0.0073, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0377, root_relative_squared_error: 0.1203, scimark_benchmark: 936.6206, usercpu_time_millis: 850, usercpu_time_millis_training: 850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9935, kappa: 0.9927, kb_relative_information_score: 307.4193, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9937, predictive_accuracy: 0.9935, prior_entropy: 3.1238, recall: 0.9935, relative_absolute_error: 0.0073, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0377, root_relative_squared_error: 0.1203, scimark_benchmark: 924.6116, usercpu_time_millis: 380, usercpu_time_millis_training: 380,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9935, kappa: 0.9927, kb_relative_information_score: 307.4193, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9937, predictive_accuracy: 0.9935, prior_entropy: 3.1238, recall: 0.9935, relative_absolute_error: 0.0073, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0377, root_relative_squared_error: 0.1203, scimark_benchmark: 924.6116, usercpu_time_millis: 190, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9935, kappa: 0.9927, kb_relative_information_score: 307.4744, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9937, predictive_accuracy: 0.9935, prior_entropy: 3.1238, recall: 0.9935, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0356, root_relative_squared_error: 0.1138, scimark_benchmark: 947.9494, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9935, kappa: 0.9927, kb_relative_information_score: 307.647, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9937, predictive_accuracy: 0.9935, prior_entropy: 3.1238, recall: 0.9935, relative_absolute_error: 0.0078, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0331, root_relative_squared_error: 0.1056, scimark_benchmark: 929.566, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4848, f_measure: 0.0309, kb_relative_information_score: 0.2738, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.0175, predictive_accuracy: 0.1323, prior_entropy: 3.1238, recall: 0.1323, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.3131, root_relative_squared_error: 1.0001, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9871, kappa: 0.9854, kb_relative_information_score: 304.1061, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9876, predictive_accuracy: 0.9871, prior_entropy: 3.1238, recall: 0.9871, relative_absolute_error: 0.0278, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0514, root_relative_squared_error: 0.164, scimark_benchmark: 902.4773, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4848, f_measure: 0.0309, kb_relative_information_score: 0.2738, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.0175, predictive_accuracy: 0.1323, prior_entropy: 3.1238, recall: 0.1323, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.3131, root_relative_squared_error: 1.0001, scimark_benchmark: 932.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9935, kappa: 0.9927, kb_relative_information_score: 306.8839, mean_absolute_error: 0.0027, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9937, predictive_accuracy: 0.9935, prior_entropy: 3.1238, recall: 0.9935, relative_absolute_error: 0.0137, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0335, root_relative_squared_error: 0.107, scimark_benchmark: 911.0478, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0309, kb_relative_information_score: 23.1188, mean_absolute_error: 0.1928, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.0175, predictive_accuracy: 0.1323, prior_entropy: 3.1238, recall: 0.1323, relative_absolute_error: 0.9833, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.4391, root_relative_squared_error: 1.4025, scimark_benchmark: 929.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.958, kappa: 0.9525, kb_relative_information_score: 296.8298, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9587, predictive_accuracy: 0.9581, prior_entropy: 3.1238, recall: 0.9581, relative_absolute_error: 0.0521, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0841, root_relative_squared_error: 0.2686, scimark_benchmark: 904.3001, usercpu_time_millis: 110, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9838, kappa: 0.9817, kb_relative_information_score: 295.0961, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9842, predictive_accuracy: 0.9839, prior_entropy: 3.1238, recall: 0.9839, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0656, root_relative_squared_error: 0.2096, scimark_benchmark: 943.2817, usercpu_time_millis: 350, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.2614, kappa: 0.2631, kb_relative_information_score: 96.7114, mean_absolute_error: 0.1707, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.312, predictive_accuracy: 0.3581, prior_entropy: 3.1238, recall: 0.3581, relative_absolute_error: 0.8704, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.2882, root_relative_squared_error: 0.9206, scimark_benchmark: 901.0726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9678, kappa: 0.9634, kb_relative_information_score: 298.9244, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.968, predictive_accuracy: 0.9677, prior_entropy: 3.1238, recall: 0.9677, relative_absolute_error: 0.0366, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.2704, scimark_benchmark: 945.3151, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9678, kappa: 0.9634, kb_relative_information_score: 298.9244, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.968, predictive_accuracy: 0.9677, prior_entropy: 3.1238, recall: 0.9677, relative_absolute_error: 0.0366, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.2704, scimark_benchmark: 942.6953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 309.7134, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 3.1238, recall: 1, root_mean_prior_squared_error: 0.3131, scimark_benchmark: 922.5647, usercpu_time_millis: 170, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7184, f_measure: 0.136, kappa: 0.1465, kb_relative_information_score: 37.4668, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.1675, predictive_accuracy: 0.2581, prior_entropy: 3.1238, recall: 0.2581, relative_absolute_error: 0.9641, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.9851, scimark_benchmark: 917.1386, usercpu_time_millis: 230, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, build_cpu_time: 1.7398, build_memory: 619676469.6, f_measure: 0.9022, kappa: 0.8902, kb_relative_information_score: 271.7792, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9059, predictive_accuracy: 0.9032, prior_entropy: 3.1238, recall: 0.9032, relative_absolute_error: 0.1966, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.1284, root_relative_squared_error: 0.41, scimark_benchmark: 940.2036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, build_cpu_time: 1.6148, build_memory: 974790992.8, f_measure: 0.9022, kappa: 0.8902, kb_relative_information_score: 271.7792, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9059, predictive_accuracy: 0.9032, prior_entropy: 3.1238, recall: 0.9032, relative_absolute_error: 0.1966, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.1284, root_relative_squared_error: 0.41, scimark_benchmark: 929.9115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, build_cpu_time: 1.6847, build_memory: 1575634496.8, f_measure: 0.9022, kappa: 0.8902, kb_relative_information_score: 271.7792, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9059, predictive_accuracy: 0.9032, prior_entropy: 3.1238, recall: 0.9032, relative_absolute_error: 0.1966, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.1284, root_relative_squared_error: 0.41, scimark_benchmark: 926.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9901, build_cpu_time: 1.0063, build_memory: 759057868.8, f_measure: 0.8895, kappa: 0.8755, kb_relative_information_score: 267.0696, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.8949, predictive_accuracy: 0.8903, prior_entropy: 3.1238, recall: 0.8903, relative_absolute_error: 0.2254, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.4245, scimark_benchmark: 926.9332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0023, build_memory: 162367881.6, f_measure: 1, kappa: 1, kb_relative_information_score: 309.5572, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 3.1238, recall: 1, relative_absolute_error: 0.0012, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0026, root_relative_squared_error: 0.0082, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0033, build_memory: 56867983.2, f_measure: 1, kappa: 1, kb_relative_information_score: 309.5572, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 3.1238, recall: 1, relative_absolute_error: 0.0012, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0026, root_relative_squared_error: 0.0082, scimark_benchmark: 942.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0047, build_memory: 1017587311.2, f_measure: 1, kappa: 1, kb_relative_information_score: 309.5572, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 3.1238, recall: 1, relative_absolute_error: 0.0012, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0026, root_relative_squared_error: 0.0082, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0064, build_memory: 1332035751.2, f_measure: 1, kappa: 1, kb_relative_information_score: 309.5572, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 3.1238, recall: 1, relative_absolute_error: 0.0012, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0026, root_relative_squared_error: 0.0082, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, build_cpu_time: 0.0044, build_memory: 487117444.8, f_measure: 0.9741, kappa: 0.9707, kb_relative_information_score: 301.1927, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9741, predictive_accuracy: 0.9742, prior_entropy: 3.1238, recall: 0.9742, relative_absolute_error: 0.0292, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.2419, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, build_cpu_time: 0.0064, build_memory: 19115792, f_measure: 0.9741, kappa: 0.9707, kb_relative_information_score: 301.1927, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9741, predictive_accuracy: 0.9742, prior_entropy: 3.1238, recall: 0.9742, relative_absolute_error: 0.0292, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.2419, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, build_cpu_time: 0.0033, build_memory: 1372495686.4, f_measure: 0.9741, kappa: 0.9707, kb_relative_information_score: 301.1927, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9741, predictive_accuracy: 0.9742, prior_entropy: 3.1238, recall: 0.9742, relative_absolute_error: 0.0292, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.2419, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, build_cpu_time: 0.0026, build_memory: 2400404264, f_measure: 0.9741, kappa: 0.9707, kb_relative_information_score: 301.1927, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9741, predictive_accuracy: 0.9742, prior_entropy: 3.1238, recall: 0.9742, relative_absolute_error: 0.0292, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.2419, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, build_cpu_time: 0.0016, build_memory: 543121560, f_measure: 0.9741, kappa: 0.9707, kb_relative_information_score: 301.1927, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9741, predictive_accuracy: 0.9742, prior_entropy: 3.1238, recall: 0.9742, relative_absolute_error: 0.0292, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0757, root_relative_squared_error: 0.2419, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.1003, build_memory: 743557088.8, f_measure: 0.9935, kappa: 0.9927, kb_relative_information_score: 302.7101, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9937, predictive_accuracy: 0.9935, prior_entropy: 3.1238, recall: 0.9935, relative_absolute_error: 0.0476, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.045, root_relative_squared_error: 0.1437, scimark_benchmark: 939.084,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0993, build_memory: 461288194.4, f_measure: 0.9935, kappa: 0.9927, kb_relative_information_score: 302.7101, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9937, predictive_accuracy: 0.9935, prior_entropy: 3.1238, recall: 0.9935, relative_absolute_error: 0.0476, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.045, root_relative_squared_error: 0.1437, scimark_benchmark: 920.6725,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, build_cpu_time: 0.0111, build_memory: 195749404.8, f_measure: 0.9422, kappa: 0.9341, kb_relative_information_score: 288.6037, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9458, predictive_accuracy: 0.9419, prior_entropy: 3.1238, recall: 0.9419, relative_absolute_error: 0.0785, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.1114, root_relative_squared_error: 0.3557, scimark_benchmark: 937.1859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0002, build_memory: 1175686840, f_measure: 1, kappa: 1, kb_relative_information_score: 305.6867, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 3.1238, recall: 1, relative_absolute_error: 0.0314, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0098, root_relative_squared_error: 0.0313, scimark_benchmark: 936.8525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7184, build_cpu_time: 0.2259, build_memory: 428768042.4, f_measure: 0.136, kappa: 0.1465, kb_relative_information_score: 37.4668, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.1675, predictive_accuracy: 0.2581, prior_entropy: 3.1238, recall: 0.2581, relative_absolute_error: 0.9641, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.3084, root_relative_squared_error: 0.9851, scimark_benchmark: 946.9374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9678, build_cpu_time: 0.1273, build_memory: 360959658.4, f_measure: 0.7781, kappa: 0.7539, kb_relative_information_score: 89.4621, mean_absolute_error: 0.1744, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.8224, predictive_accuracy: 0.7839, prior_entropy: 3.1238, recall: 0.7839, relative_absolute_error: 0.8893, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.2842, root_relative_squared_error: 0.9076, scimark_benchmark: 915.7861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, build_cpu_time: 0.2968, build_memory: 98314115.2, f_measure: 0.9903, kappa: 0.989, kb_relative_information_score: 306.6617, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.9904, predictive_accuracy: 0.9903, prior_entropy: 3.1238, recall: 0.9903, relative_absolute_error: 0.0112, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1348, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.0098, build_memory: 389832475.2, f_measure: 1, kappa: 1, kb_relative_information_score: 309.1052, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 3.1238, recall: 1, relative_absolute_error: 0.0045, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0105, root_relative_squared_error: 0.0334, scimark_benchmark: 920.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.011, build_memory: 773818944, f_measure: 1, kappa: 1, kb_relative_information_score: 309.1052, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 3.1238, recall: 1, relative_absolute_error: 0.0045, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0105, root_relative_squared_error: 0.0334, scimark_benchmark: 943.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4848, build_cpu_time: 0.0001, build_memory: 277090096, f_measure: 0.0309, kb_relative_information_score: 0.2738, mean_absolute_error: 0.1961, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.0175, predictive_accuracy: 0.1323, prior_entropy: 3.1238, recall: 0.1323, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.3131, root_relative_squared_error: 1.0001, scimark_benchmark: 922.5645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, build_cpu_time: 0.001, build_memory: 290875275.2, f_measure: 0.8702, kappa: 0.8536, kb_relative_information_score: 269.173, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.881, predictive_accuracy: 0.871, prior_entropy: 3.1238, recall: 0.871, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.5179, scimark_benchmark: 946.9694,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, build_cpu_time: 0.0009, build_memory: 639163895.2, f_measure: 0.8702, kappa: 0.8536, kb_relative_information_score: 269.173, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.881, predictive_accuracy: 0.871, prior_entropy: 3.1238, recall: 0.871, relative_absolute_error: 0.1488, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.5179, scimark_benchmark: 943.2554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, build_cpu_time: 1.0239, build_memory: 926195940, f_measure: 0.7424, kappa: 0.7247, kb_relative_information_score: 89.0485, mean_absolute_error: 0.1746, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.7896, predictive_accuracy: 0.7581, prior_entropy: 3.1238, recall: 0.7581, relative_absolute_error: 0.8903, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.2844, root_relative_squared_error: 0.9083, scimark_benchmark: 946.0329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, build_cpu_time: 2.4747, build_memory: 811104148, f_measure: 0.7969, kappa: 0.7688, kb_relative_information_score: 88.7913, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.8274, predictive_accuracy: 0.7968, prior_entropy: 3.1238, recall: 0.7968, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.9088, scimark_benchmark: 932.0191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, build_cpu_time: 1.991, build_memory: 1016623012, f_measure: 0.7969, kappa: 0.7688, kb_relative_information_score: 88.7913, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.8274, predictive_accuracy: 0.7968, prior_entropy: 3.1238, recall: 0.7968, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.9088, scimark_benchmark: 941.9153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, build_cpu_time: 4.6726, build_memory: 884256924, f_measure: 0.7877, kappa: 0.7615, kb_relative_information_score: 88.7577, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.8265, predictive_accuracy: 0.7903, prior_entropy: 3.1238, recall: 0.7903, relative_absolute_error: 0.8907, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.9088, scimark_benchmark: 939.7809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, build_cpu_time: 8.0656, build_memory: 785689560, f_measure: 0.7893, kappa: 0.7653, kb_relative_information_score: 88.7002, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.8264, predictive_accuracy: 0.7935, prior_entropy: 3.1238, recall: 0.7935, relative_absolute_error: 0.8909, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.9089, scimark_benchmark: 938.6729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, build_cpu_time: 17.6619, build_memory: 1195889289.6, f_measure: 0.801, kappa: 0.7762, kb_relative_information_score: 88.7573, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 0.8366, predictive_accuracy: 0.8032, prior_entropy: 3.1238, recall: 0.8032, relative_absolute_error: 0.8908, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.9088, scimark_benchmark: 945.7067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, build_cpu_time: 0.1629, build_memory: 107352467.2, f_measure: 1, kappa: 1, kb_relative_information_score: 308.7404, mean_absolute_error: 0.0015, mean_prior_absolute_error: 0.1961, number_of_instances: 310, precision: 1, predictive_accuracy: 1, prior_entropy: 3.1238, recall: 1, relative_absolute_error: 0.0074, root_mean_prior_squared_error: 0.3131, root_mean_squared_error: 0.0098, root_relative_squared_error: 0.0312, scimark_benchmark: 943.2048,

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