OpenML
Supervised Classification on analcatdata_wildcat

Supervised Classification on analcatdata_wildcat

Task 4319 Supervised Classification analcatdata_wildcat 203 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, f_measure: 0.7762, kappa: 0.4941, kb_relative_information_score: 453.3102, mean_absolute_error: 0.2847, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.8069, predictive_accuracy: 0.7669, prior_entropy: 0.8699, recall: 0.7669, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.8705, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.7609, kappa: 0.4148, kb_relative_information_score: 396.7033, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7599, predictive_accuracy: 0.762, prior_entropy: 0.8699, recall: 0.762, relative_absolute_error: 0.7318, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8766, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.771, kappa: 0.4338, kb_relative_information_score: 503.9118, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7687, predictive_accuracy: 0.7748, prior_entropy: 0.8699, recall: 0.7748, relative_absolute_error: 0.6691, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.9037, scimark_benchmark: 934.3687, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4909, f_measure: 0.5855, kappa: -0.0253, kb_relative_information_score: 338.4176, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.5038, predictive_accuracy: 0.6988, prior_entropy: 0.8699, recall: 0.6988, relative_absolute_error: 0.732, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.5488, root_relative_squared_error: 1.2116, scimark_benchmark: 904.6764, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4909, f_measure: 0.5855, kappa: -0.0253, kb_relative_information_score: 338.4176, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.5038, predictive_accuracy: 0.6988, prior_entropy: 0.8699, recall: 0.6988, relative_absolute_error: 0.732, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.5488, root_relative_squared_error: 1.2116, scimark_benchmark: 931.771, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7829, f_measure: 0.7413, kappa: 0.4013, kb_relative_information_score: 436.4441, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7606, predictive_accuracy: 0.7325, prior_entropy: 0.8699, recall: 0.7325, relative_absolute_error: 0.7012, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8832, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.7569, kappa: 0.4019, kb_relative_information_score: 435.9748, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7549, predictive_accuracy: 0.7595, prior_entropy: 0.8699, recall: 0.7595, relative_absolute_error: 0.7036, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.8712, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7621, kappa: 0.4076, kb_relative_information_score: 421.2424, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7594, predictive_accuracy: 0.7687, prior_entropy: 0.8699, recall: 0.7687, relative_absolute_error: 0.725, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.8687, scimark_benchmark: 944.1067, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.7612, kappa: 0.4432, kb_relative_information_score: 459.8821, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7768, predictive_accuracy: 0.754, prior_entropy: 0.8699, recall: 0.754, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.9334, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4909, f_measure: 0.5855, kappa: -0.0253, kb_relative_information_score: 338.4176, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.5038, predictive_accuracy: 0.6988, prior_entropy: 0.8699, recall: 0.6988, relative_absolute_error: 0.732, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.5488, root_relative_squared_error: 1.2116, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4909, f_measure: 0.5855, kappa: -0.0253, kb_relative_information_score: 338.4176, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.5038, predictive_accuracy: 0.6988, prior_entropy: 0.8699, recall: 0.6988, relative_absolute_error: 0.732, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.5488, root_relative_squared_error: 1.2116, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7829, f_measure: 0.7413, kappa: 0.4013, kb_relative_information_score: 436.4441, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7606, predictive_accuracy: 0.7325, prior_entropy: 0.8699, recall: 0.7325, relative_absolute_error: 0.7012, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8832, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7484, kappa: 0.3757, kb_relative_information_score: 513.1379, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7453, predictive_accuracy: 0.754, prior_entropy: 0.8699, recall: 0.754, relative_absolute_error: 0.6435, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8825, scimark_benchmark: 943.1009, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, f_measure: 0.7762, kappa: 0.4941, kb_relative_information_score: 453.3102, mean_absolute_error: 0.2847, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.8069, predictive_accuracy: 0.7669, prior_entropy: 0.8699, recall: 0.7669, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.8705, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.7609, kappa: 0.4148, kb_relative_information_score: 396.7033, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7599, predictive_accuracy: 0.762, prior_entropy: 0.8699, recall: 0.762, relative_absolute_error: 0.7318, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8766, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.771, kappa: 0.4338, kb_relative_information_score: 503.9118, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7687, predictive_accuracy: 0.7748, prior_entropy: 0.8699, recall: 0.7748, relative_absolute_error: 0.6691, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.9037, scimark_benchmark: 938.1282, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4909, f_measure: 0.5855, kappa: -0.0253, kb_relative_information_score: 338.4176, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.5038, predictive_accuracy: 0.6988, prior_entropy: 0.8699, recall: 0.6988, relative_absolute_error: 0.732, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.5488, root_relative_squared_error: 1.2116, scimark_benchmark: 937.5683, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4909, f_measure: 0.5855, kappa: -0.0253, kb_relative_information_score: 338.4176, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.5038, predictive_accuracy: 0.6988, prior_entropy: 0.8699, recall: 0.6988, relative_absolute_error: 0.732, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.5488, root_relative_squared_error: 1.2116, scimark_benchmark: 859.5223, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7829, f_measure: 0.7413, kappa: 0.4013, kb_relative_information_score: 436.4441, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7606, predictive_accuracy: 0.7325, prior_entropy: 0.8699, recall: 0.7325, relative_absolute_error: 0.7012, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8832, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7829, f_measure: 0.7413, kappa: 0.4013, kb_relative_information_score: 436.4441, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7606, predictive_accuracy: 0.7325, prior_entropy: 0.8699, recall: 0.7325, relative_absolute_error: 0.7012, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8832, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7829, f_measure: 0.7413, kappa: 0.4013, kb_relative_information_score: 436.4441, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7606, predictive_accuracy: 0.7325, prior_entropy: 0.8699, recall: 0.7325, relative_absolute_error: 0.7012, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8832, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.7569, kappa: 0.4019, kb_relative_information_score: 435.9748, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7549, predictive_accuracy: 0.7595, prior_entropy: 0.8699, recall: 0.7595, relative_absolute_error: 0.7036, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.8712, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7621, kappa: 0.4076, kb_relative_information_score: 421.2424, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7594, predictive_accuracy: 0.7687, prior_entropy: 0.8699, recall: 0.7687, relative_absolute_error: 0.725, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.8687, scimark_benchmark: 934.5964, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7829, f_measure: 0.7413, kappa: 0.4013, kb_relative_information_score: 436.4441, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7606, predictive_accuracy: 0.7325, prior_entropy: 0.8699, recall: 0.7325, relative_absolute_error: 0.7012, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8832, scimark_benchmark: 944.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.7612, kappa: 0.4432, kb_relative_information_score: 459.8821, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7768, predictive_accuracy: 0.754, prior_entropy: 0.8699, recall: 0.754, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.9334, scimark_benchmark: 945.6228, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7484, kappa: 0.3757, kb_relative_information_score: 513.1379, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7453, predictive_accuracy: 0.754, prior_entropy: 0.8699, recall: 0.754, relative_absolute_error: 0.6435, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8825, scimark_benchmark: 901.4991, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.7737, kappa: 0.4618, kb_relative_information_score: 498.5057, mean_absolute_error: 0.2794, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.781, predictive_accuracy: 0.7693, prior_entropy: 0.8699, recall: 0.7693, relative_absolute_error: 0.679, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.8288, scimark_benchmark: 1051.249, usercpu_time_millis: 870, usercpu_time_millis_testing: 520, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.834, f_measure: 0.7714, kappa: 0.4545, kb_relative_information_score: 498.068, mean_absolute_error: 0.2795, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7776, predictive_accuracy: 0.7675, prior_entropy: 0.8699, recall: 0.7675, relative_absolute_error: 0.6793, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.8292, scimark_benchmark: 904.5548, usercpu_time_millis: 170, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8337, f_measure: 0.7771, kappa: 0.4691, kb_relative_information_score: 495.4031, mean_absolute_error: 0.2803, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7838, predictive_accuracy: 0.773, prior_entropy: 0.8699, recall: 0.773, relative_absolute_error: 0.6811, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.3761, root_relative_squared_error: 0.8303, scimark_benchmark: 897.0978, usercpu_time_millis: 90, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.775, kappa: 0.4631, kb_relative_information_score: 498.1837, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7811, predictive_accuracy: 0.7712, prior_entropy: 0.8699, recall: 0.7712, relative_absolute_error: 0.6788, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.8292, scimark_benchmark: 917.2109, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.776, kappa: 0.4647, kb_relative_information_score: 501.5068, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7816, predictive_accuracy: 0.7724, prior_entropy: 0.8699, recall: 0.7724, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.8314, scimark_benchmark: 919.7824, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7693, f_measure: 0.7251, kappa: 0.3273, kb_relative_information_score: 358.0743, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.724, predictive_accuracy: 0.7264, prior_entropy: 0.8699, recall: 0.7264, relative_absolute_error: 0.7371, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.9295, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7693, f_measure: 0.7251, kappa: 0.3273, kb_relative_information_score: 358.0743, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.724, predictive_accuracy: 0.7264, prior_entropy: 0.8699, recall: 0.7264, relative_absolute_error: 0.7371, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.9295, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7693, f_measure: 0.7251, kappa: 0.3273, kb_relative_information_score: 358.0743, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.724, predictive_accuracy: 0.7264, prior_entropy: 0.8699, recall: 0.7264, relative_absolute_error: 0.7371, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.9295, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7693, f_measure: 0.7251, kappa: 0.3273, kb_relative_information_score: 358.0743, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.724, predictive_accuracy: 0.7264, prior_entropy: 0.8699, recall: 0.7264, relative_absolute_error: 0.7371, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.9295, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7693, f_measure: 0.7251, kappa: 0.3273, kb_relative_information_score: 358.0743, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.724, predictive_accuracy: 0.7264, prior_entropy: 0.8699, recall: 0.7264, relative_absolute_error: 0.7371, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.9295, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.467, f_measure: 0.5918, kb_relative_information_score: -4.4858, mean_absolute_error: 0.4117, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.5065, predictive_accuracy: 0.7117, prior_entropy: 0.8699, recall: 0.7117, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4532, root_relative_squared_error: 1.0004, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7837, f_measure: 0.7274, kappa: 0.3128, kb_relative_information_score: 503.3069, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7243, predictive_accuracy: 0.7417, prior_entropy: 0.8699, recall: 0.7417, relative_absolute_error: 0.6451, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4667, root_relative_squared_error: 1.0303, scimark_benchmark: 938.3115, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.7258, kappa: 0.3071, kb_relative_information_score: 504.9045, mean_absolute_error: 0.2651, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7232, predictive_accuracy: 0.7417, prior_entropy: 0.8699, recall: 0.7417, relative_absolute_error: 0.6442, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4636, root_relative_squared_error: 1.0233, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4909, f_measure: 0.5855, kappa: -0.0253, kb_relative_information_score: 338.4176, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.5038, predictive_accuracy: 0.6988, prior_entropy: 0.8699, recall: 0.6988, relative_absolute_error: 0.732, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.5488, root_relative_squared_error: 1.2116, scimark_benchmark: 1316.5668, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7829, f_measure: 0.7413, kappa: 0.4013, kb_relative_information_score: 436.4441, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7606, predictive_accuracy: 0.7325, prior_entropy: 0.8699, recall: 0.7325, relative_absolute_error: 0.7012, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8832, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8281, f_measure: 0.7621, kappa: 0.4076, kb_relative_information_score: 421.2424, mean_absolute_error: 0.2983, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7594, predictive_accuracy: 0.7687, prior_entropy: 0.8699, recall: 0.7687, relative_absolute_error: 0.725, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.8687, scimark_benchmark: 1309.2287, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7829, f_measure: 0.7413, kappa: 0.4013, kb_relative_information_score: 436.4441, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7606, predictive_accuracy: 0.7325, prior_entropy: 0.8699, recall: 0.7325, relative_absolute_error: 0.7012, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8832, scimark_benchmark: 1331.4379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7714, f_measure: 0.7354, kappa: 0.3737, kb_relative_information_score: 415.0589, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7451, predictive_accuracy: 0.7294, prior_entropy: 0.8699, recall: 0.7294, relative_absolute_error: 0.7006, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4628, root_relative_squared_error: 1.0215, scimark_benchmark: 1317.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7829, f_measure: 0.7413, kappa: 0.4013, kb_relative_information_score: 436.4441, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7606, predictive_accuracy: 0.7325, prior_entropy: 0.8699, recall: 0.7325, relative_absolute_error: 0.7012, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8832, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7829, f_measure: 0.7413, kappa: 0.4013, kb_relative_information_score: 436.4441, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7606, predictive_accuracy: 0.7325, prior_entropy: 0.8699, recall: 0.7325, relative_absolute_error: 0.7012, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8832, scimark_benchmark: 1346.4374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.816, f_measure: 0.7569, kappa: 0.4019, kb_relative_information_score: 435.9748, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7549, predictive_accuracy: 0.7595, prior_entropy: 0.8699, recall: 0.7595, relative_absolute_error: 0.7036, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.8712, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.7612, kappa: 0.4432, kb_relative_information_score: 459.8821, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7768, predictive_accuracy: 0.754, prior_entropy: 0.8699, recall: 0.754, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.9334, scimark_benchmark: 1322.1893, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8265, f_measure: 0.7484, kappa: 0.3757, kb_relative_information_score: 513.1379, mean_absolute_error: 0.2648, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7453, predictive_accuracy: 0.754, prior_entropy: 0.8699, recall: 0.754, relative_absolute_error: 0.6435, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.3998, root_relative_squared_error: 0.8825, scimark_benchmark: 1354.5533, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7546, f_measure: 0.7762, kappa: 0.4941, kb_relative_information_score: 453.3102, mean_absolute_error: 0.2847, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.8069, predictive_accuracy: 0.7669, prior_entropy: 0.8699, recall: 0.7669, relative_absolute_error: 0.692, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.8705, scimark_benchmark: 1309.4708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.7419, kappa: 0.3998, kb_relative_information_score: 434.6217, mean_absolute_error: 0.2899, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.759, predictive_accuracy: 0.7337, prior_entropy: 0.8699, recall: 0.7337, relative_absolute_error: 0.7046, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.8541, scimark_benchmark: 1330.8256, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.815, f_measure: 0.7609, kappa: 0.4148, kb_relative_information_score: 396.7033, mean_absolute_error: 0.3011, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7599, predictive_accuracy: 0.762, prior_entropy: 0.8699, recall: 0.762, relative_absolute_error: 0.7318, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.3971, root_relative_squared_error: 0.8766, scimark_benchmark: 1350.1007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.771, kappa: 0.4338, kb_relative_information_score: 503.9118, mean_absolute_error: 0.2753, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7687, predictive_accuracy: 0.7748, prior_entropy: 0.8699, recall: 0.7748, relative_absolute_error: 0.6691, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.9037, scimark_benchmark: 1339.6197, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.7293, kappa: 0.3222, kb_relative_information_score: 382.6402, mean_absolute_error: 0.3038, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7252, predictive_accuracy: 0.7393, prior_entropy: 0.8699, recall: 0.7393, relative_absolute_error: 0.7383, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4093, root_relative_squared_error: 0.9035, scimark_benchmark: 1331.8682, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7829, f_measure: 0.7413, kappa: 0.4013, kb_relative_information_score: 436.4441, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7606, predictive_accuracy: 0.7325, prior_entropy: 0.8699, recall: 0.7325, relative_absolute_error: 0.7012, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8832, scimark_benchmark: 1375.1578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7829, f_measure: 0.7413, kappa: 0.4013, kb_relative_information_score: 436.4441, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7606, predictive_accuracy: 0.7325, prior_entropy: 0.8699, recall: 0.7325, relative_absolute_error: 0.7012, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8832, scimark_benchmark: 1343.7262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.7612, kappa: 0.4432, kb_relative_information_score: 459.8821, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7768, predictive_accuracy: 0.754, prior_entropy: 0.8699, recall: 0.754, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.9334, scimark_benchmark: 1317.8359, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4909, f_measure: 0.5855, kappa: -0.0253, kb_relative_information_score: 338.4176, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.5038, predictive_accuracy: 0.6988, prior_entropy: 0.8699, recall: 0.6988, relative_absolute_error: 0.732, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.5488, root_relative_squared_error: 1.2116, scimark_benchmark: 1325.6322, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7829, f_measure: 0.7413, kappa: 0.4013, kb_relative_information_score: 436.4441, mean_absolute_error: 0.2885, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7606, predictive_accuracy: 0.7325, prior_entropy: 0.8699, recall: 0.7325, relative_absolute_error: 0.7012, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8832, scimark_benchmark: 1353.5464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.784, f_measure: 0.7612, kappa: 0.4432, kb_relative_information_score: 459.8821, mean_absolute_error: 0.2824, mean_prior_absolute_error: 0.4115, number_of_instances: 1630, precision: 0.7768, predictive_accuracy: 0.754, prior_entropy: 0.8699, recall: 0.754, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.453, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.9334, scimark_benchmark: 1324.6608, usercpu_time_millis: 30, usercpu_time_millis_training: 30,

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