OpenML
Supervised Classification on analcatdata_dmft

Supervised Classification on analcatdata_dmft

Task 4582 Supervised Classification analcatdata_dmft 215 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, f_measure: 0.7188, kb_relative_information_score: 9.1446, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3958, root_relative_squared_error: 1, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5056, f_measure: 0.7188, kb_relative_information_score: -4730.5016, mean_absolute_error: 0.3889, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 1.2394, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4212, root_relative_squared_error: 1.0642, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.7165, kappa: -0.0093, kb_relative_information_score: -1028.7197, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6562, predictive_accuracy: 0.8, prior_entropy: 0.7123, recall: 0.8, relative_absolute_error: 1.0104, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4069, root_relative_squared_error: 1.0279, scimark_benchmark: 934.3687, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 2142.5182, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142, scimark_benchmark: 916.0735, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, f_measure: 0.7176, kappa: -0.0045, kb_relative_information_score: -1129.1241, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6485, predictive_accuracy: 0.8033, prior_entropy: 0.7123, recall: 0.8033, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4069, root_relative_squared_error: 1.0279, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4789, f_measure: 0.7172, kappa: -0.0062, kb_relative_information_score: -1009.9659, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6484, predictive_accuracy: 0.8024, prior_entropy: 0.7123, recall: 0.8024, relative_absolute_error: 1.0139, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4062, root_relative_squared_error: 1.0262, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.7126, kappa: -0.0239, kb_relative_information_score: -1349.9787, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6469, predictive_accuracy: 0.7931, prior_entropy: 0.7123, recall: 0.7931, relative_absolute_error: 1.009, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4144, root_relative_squared_error: 1.047, scimark_benchmark: 936.8075, usercpu_time_millis: 6250, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 6080,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5421, f_measure: 0.7188, kb_relative_information_score: -779.8591, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3985, root_relative_squared_error: 1.0068, scimark_benchmark: 931.771, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4582, f_measure: 0.6942, kappa: -0.0764, kb_relative_information_score: -2070.1481, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6526, predictive_accuracy: 0.7472, prior_entropy: 0.7123, recall: 0.7472, relative_absolute_error: 1.0467, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4506, root_relative_squared_error: 1.1385, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 2142.5182, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 2142.5182, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142, scimark_benchmark: 932.438, usercpu_time_millis: 110, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, f_measure: 0.7176, kappa: -0.0045, kb_relative_information_score: -1129.1241, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6485, predictive_accuracy: 0.8033, prior_entropy: 0.7123, recall: 0.8033, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4069, root_relative_squared_error: 1.0279, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, f_measure: 0.7176, kappa: -0.0045, kb_relative_information_score: -1129.1241, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6485, predictive_accuracy: 0.8033, prior_entropy: 0.7123, recall: 0.8033, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4069, root_relative_squared_error: 1.0279, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4582, f_measure: 0.6942, kappa: -0.0764, kb_relative_information_score: -2070.1481, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6526, predictive_accuracy: 0.7472, prior_entropy: 0.7123, recall: 0.7472, relative_absolute_error: 1.0467, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4506, root_relative_squared_error: 1.1385, scimark_benchmark: 943.1009, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, f_measure: 0.7188, kb_relative_information_score: 9.1446, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3958, root_relative_squared_error: 1, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5056, f_measure: 0.7188, kb_relative_information_score: -4730.5016, mean_absolute_error: 0.3889, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 1.2394, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4212, root_relative_squared_error: 1.0642, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.7165, kappa: -0.0093, kb_relative_information_score: -1028.7197, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6562, predictive_accuracy: 0.8, prior_entropy: 0.7123, recall: 0.8, relative_absolute_error: 1.0104, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4069, root_relative_squared_error: 1.0279, scimark_benchmark: 936.2574, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 2142.5182, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142, scimark_benchmark: 905.2959, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 2142.5182, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142, scimark_benchmark: 926.5462, usercpu_time_millis: 100, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, f_measure: 0.7176, kappa: -0.0045, kb_relative_information_score: -1129.1241, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6485, predictive_accuracy: 0.8033, prior_entropy: 0.7123, recall: 0.8033, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4069, root_relative_squared_error: 1.0279, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, f_measure: 0.7176, kappa: -0.0045, kb_relative_information_score: -1129.1241, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6485, predictive_accuracy: 0.8033, prior_entropy: 0.7123, recall: 0.8033, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4069, root_relative_squared_error: 1.0279, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, f_measure: 0.7176, kappa: -0.0045, kb_relative_information_score: -1129.1241, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6485, predictive_accuracy: 0.8033, prior_entropy: 0.7123, recall: 0.8033, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4069, root_relative_squared_error: 1.0279, scimark_benchmark: 930.404, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4789, f_measure: 0.7172, kappa: -0.0062, kb_relative_information_score: -1009.9659, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6484, predictive_accuracy: 0.8024, prior_entropy: 0.7123, recall: 0.8024, relative_absolute_error: 1.0139, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4062, root_relative_squared_error: 1.0262, scimark_benchmark: 903.2737, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.7126, kappa: -0.0239, kb_relative_information_score: -1349.9786, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6469, predictive_accuracy: 0.7931, prior_entropy: 0.7123, recall: 0.7931, relative_absolute_error: 1.009, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4144, root_relative_squared_error: 1.047, scimark_benchmark: 763.3895, usercpu_time_millis: 4230, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 4140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, f_measure: 0.7176, kappa: -0.0045, kb_relative_information_score: -1129.1241, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6485, predictive_accuracy: 0.8033, prior_entropy: 0.7123, recall: 0.8033, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4069, root_relative_squared_error: 1.0279, scimark_benchmark: 944.0133, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5421, f_measure: 0.7188, kb_relative_information_score: -779.8591, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3985, root_relative_squared_error: 1.0068, scimark_benchmark: 942.2392, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4582, f_measure: 0.6942, kappa: -0.0764, kb_relative_information_score: -2070.1481, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6526, predictive_accuracy: 0.7472, prior_entropy: 0.7123, recall: 0.7472, relative_absolute_error: 1.0467, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4506, root_relative_squared_error: 1.1385, scimark_benchmark: 936.3213, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4862, f_measure: 0.7188, kb_relative_information_score: 7.8149, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3958, root_relative_squared_error: 1, scimark_benchmark: 934.7923, usercpu_time_millis: 3740, usercpu_time_millis_testing: 1030, usercpu_time_millis_training: 2710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4888, f_measure: 0.7188, kb_relative_information_score: 6.5848, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3958, root_relative_squared_error: 1.0001, scimark_benchmark: 938.4601, usercpu_time_millis: 1930, usercpu_time_millis_testing: 500, usercpu_time_millis_training: 1430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4882, f_measure: 0.7188, kb_relative_information_score: 6.4584, mean_absolute_error: 0.3134, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3958, root_relative_squared_error: 1.0001, scimark_benchmark: 933.3455, usercpu_time_millis: 870, usercpu_time_millis_testing: 190, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4896, f_measure: 0.7188, kb_relative_information_score: 7.1714, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3958, root_relative_squared_error: 1.0001, scimark_benchmark: 891.6381, usercpu_time_millis: 450, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, f_measure: 0.7188, kb_relative_information_score: 9.1446, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3958, root_relative_squared_error: 1, scimark_benchmark: 896.2181, usercpu_time_millis: 200, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5491, f_measure: 0.7188, kb_relative_information_score: -688.4857, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3976, root_relative_squared_error: 1.0046, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5491, f_measure: 0.7188, kb_relative_information_score: -688.4857, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3976, root_relative_squared_error: 1.0046, scimark_benchmark: 938.3115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5491, f_measure: 0.7188, kb_relative_information_score: -688.4857, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3976, root_relative_squared_error: 1.0046, scimark_benchmark: 894.7131, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5491, f_measure: 0.7188, kb_relative_information_score: -688.4857, mean_absolute_error: 0.3096, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3976, root_relative_squared_error: 1.0046, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5512, f_measure: 0.7188, kb_relative_information_score: -676.7767, mean_absolute_error: 0.3095, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9864, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3973, root_relative_squared_error: 1.0039, scimark_benchmark: 929.0296,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5428, f_measure: 0.7188, kb_relative_information_score: 2097.265, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6287, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.109, scimark_benchmark: 926.5859, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.7126, kappa: -0.0239, kb_relative_information_score: -1349.9786, mean_absolute_error: 0.3166, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6469, predictive_accuracy: 0.7931, prior_entropy: 0.7123, recall: 0.7931, relative_absolute_error: 1.009, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4144, root_relative_squared_error: 1.047, scimark_benchmark: 1337.9552, usercpu_time_millis: 2740, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 2630,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5431, f_measure: 0.7188, kb_relative_information_score: -779.0971, mean_absolute_error: 0.3112, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3986, root_relative_squared_error: 1.0072, scimark_benchmark: 1319.4538, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5421, f_measure: 0.7188, kb_relative_information_score: -779.8591, mean_absolute_error: 0.3118, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9937, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3985, root_relative_squared_error: 1.0068, scimark_benchmark: 1334.863, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4582, f_measure: 0.6942, kappa: -0.0764, kb_relative_information_score: -2070.1481, mean_absolute_error: 0.3284, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6526, predictive_accuracy: 0.7472, prior_entropy: 0.7123, recall: 0.7472, relative_absolute_error: 1.0467, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4506, root_relative_squared_error: 1.1385, scimark_benchmark: 1338.5214, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4907, f_measure: 0.7188, kb_relative_information_score: 9.1446, mean_absolute_error: 0.3133, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9985, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3958, root_relative_squared_error: 1, scimark_benchmark: 1393.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5448, f_measure: 0.7188, kb_relative_information_score: -739.9477, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.9883, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.3985, root_relative_squared_error: 1.0067, scimark_benchmark: 1330.3852, usercpu_time_millis: 350, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.7165, kappa: -0.0093, kb_relative_information_score: -1028.7197, mean_absolute_error: 0.317, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6562, predictive_accuracy: 0.8, prior_entropy: 0.7123, recall: 0.8, relative_absolute_error: 1.0104, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4069, root_relative_squared_error: 1.0279, scimark_benchmark: 1321.8132, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7188, kb_relative_information_score: 2142.5182, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6489, predictive_accuracy: 0.8055, prior_entropy: 0.7123, recall: 0.8055, relative_absolute_error: 0.6198, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.441, root_relative_squared_error: 1.1142, scimark_benchmark: 1317.2327, usercpu_time_millis: 120, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4789, f_measure: 0.7172, kappa: -0.0062, kb_relative_information_score: -1009.9659, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6484, predictive_accuracy: 0.8024, prior_entropy: 0.7123, recall: 0.8024, relative_absolute_error: 1.0139, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4062, root_relative_squared_error: 1.0262, scimark_benchmark: 1321.8321, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, f_measure: 0.7176, kappa: -0.0045, kb_relative_information_score: -1129.1241, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.3138, number_of_instances: 7970, precision: 0.6485, predictive_accuracy: 0.8033, prior_entropy: 0.7123, recall: 0.8033, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.3958, root_mean_squared_error: 0.4069, root_relative_squared_error: 1.0279, scimark_benchmark: 1313.5633,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs