Task
Supervised Classification on jEdit_4.0_4.2

Supervised Classification on jEdit_4.0_4.2

Task 4626 Supervised Classification jEdit_4.0_4.2 197 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7477, f_measure: 0.7104, kappa: 0.4208, kb_relative_information_score: 784.2241, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7114, predictive_accuracy: 0.7109, prior_entropy: 0.9997, recall: 0.7109, relative_absolute_error: 0.7416, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9047, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7254, kappa: 0.4517, kb_relative_information_score: 841.3394, mean_absolute_error: 0.3584, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.727, predictive_accuracy: 0.7255, prior_entropy: 0.9997, recall: 0.7255, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.855, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7377, kappa: 0.4766, kb_relative_information_score: 1034.6818, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7402, predictive_accuracy: 0.738, prior_entropy: 0.9997, recall: 0.738, relative_absolute_error: 0.6438, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.8685, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7089, kappa: 0.4176, kb_relative_information_score: 980.4362, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7091, predictive_accuracy: 0.7091, prior_entropy: 0.9997, recall: 0.7091, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8957, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.7357, kappa: 0.4712, kb_relative_information_score: 995.9009, mean_absolute_error: 0.3308, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7357, predictive_accuracy: 0.7358, prior_entropy: 0.9997, recall: 0.7358, relative_absolute_error: 0.662, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.8365, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.7207, kappa: 0.4413, kb_relative_information_score: 835.9607, mean_absolute_error: 0.3619, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7216, predictive_accuracy: 0.7212, prior_entropy: 0.9997, recall: 0.7212, relative_absolute_error: 0.7241, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8552, scimark_benchmark: 941.6675, usercpu_time_millis: 1400, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.7483, kappa: 0.4977, kb_relative_information_score: 1046.5961, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7507, predictive_accuracy: 0.7485, prior_entropy: 0.9997, recall: 0.7485, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8746, scimark_benchmark: 944.1067, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, f_measure: 0.5605, kappa: 0.2333, kb_relative_information_score: 606.532, mean_absolute_error: 0.3891, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7239, predictive_accuracy: 0.6109, prior_entropy: 0.9997, recall: 0.6109, relative_absolute_error: 0.7785, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6237, root_relative_squared_error: 1.2478, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, f_measure: 0.5605, kappa: 0.2333, kb_relative_information_score: 606.532, mean_absolute_error: 0.3891, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7239, predictive_accuracy: 0.6109, prior_entropy: 0.9997, recall: 0.6109, relative_absolute_error: 0.7785, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6237, root_relative_squared_error: 1.2478, scimark_benchmark: 944.1783, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7089, kappa: 0.4176, kb_relative_information_score: 980.4362, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7091, predictive_accuracy: 0.7091, prior_entropy: 0.9997, recall: 0.7091, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8957, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.7533, kappa: 0.5069, kb_relative_information_score: 1073.1932, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7543, predictive_accuracy: 0.7533, prior_entropy: 0.9997, recall: 0.7533, relative_absolute_error: 0.6313, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.839, scimark_benchmark: 943.1009, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7477, f_measure: 0.7104, kappa: 0.4208, kb_relative_information_score: 784.2241, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7114, predictive_accuracy: 0.7109, prior_entropy: 0.9997, recall: 0.7109, relative_absolute_error: 0.7416, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9047, scimark_benchmark: 942.2392, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7254, kappa: 0.4517, kb_relative_information_score: 841.3394, mean_absolute_error: 0.3584, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.727, predictive_accuracy: 0.7255, prior_entropy: 0.9997, recall: 0.7255, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.855, scimark_benchmark: 901.6243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7377, kappa: 0.4766, kb_relative_information_score: 1034.6818, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7402, predictive_accuracy: 0.738, prior_entropy: 0.9997, recall: 0.738, relative_absolute_error: 0.6438, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.8685, scimark_benchmark: 944.0133, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, f_measure: 0.5605, kappa: 0.2333, kb_relative_information_score: 606.532, mean_absolute_error: 0.3891, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7239, predictive_accuracy: 0.6109, prior_entropy: 0.9997, recall: 0.6109, relative_absolute_error: 0.7785, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6237, root_relative_squared_error: 1.2478, scimark_benchmark: 945.6228, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6185, f_measure: 0.5605, kappa: 0.2333, kb_relative_information_score: 606.532, mean_absolute_error: 0.3891, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7239, predictive_accuracy: 0.6109, prior_entropy: 0.9997, recall: 0.6109, relative_absolute_error: 0.7785, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.6237, root_relative_squared_error: 1.2478, scimark_benchmark: 934.5964, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7727, f_measure: 0.706, kappa: 0.412, kb_relative_information_score: 1058.3148, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7071, predictive_accuracy: 0.7066, prior_entropy: 0.9997, recall: 0.7066, relative_absolute_error: 0.6212, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4803, root_relative_squared_error: 0.9609, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7089, kappa: 0.4176, kb_relative_information_score: 980.4362, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7091, predictive_accuracy: 0.7091, prior_entropy: 0.9997, recall: 0.7091, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8957, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7089, kappa: 0.4176, kb_relative_information_score: 980.4362, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7091, predictive_accuracy: 0.7091, prior_entropy: 0.9997, recall: 0.7091, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8957, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7089, kappa: 0.4176, kb_relative_information_score: 980.4362, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7091, predictive_accuracy: 0.7091, prior_entropy: 0.9997, recall: 0.7091, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8957, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.7357, kappa: 0.4712, kb_relative_information_score: 995.9009, mean_absolute_error: 0.3308, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7357, predictive_accuracy: 0.7358, prior_entropy: 0.9997, recall: 0.7358, relative_absolute_error: 0.662, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.8365, scimark_benchmark: 941.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, f_measure: 0.7207, kappa: 0.4413, kb_relative_information_score: 835.9607, mean_absolute_error: 0.3619, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7216, predictive_accuracy: 0.7212, prior_entropy: 0.9997, recall: 0.7212, relative_absolute_error: 0.7241, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8552, scimark_benchmark: 941.4991, usercpu_time_millis: 1280, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7089, kappa: 0.4176, kb_relative_information_score: 980.4362, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7091, predictive_accuracy: 0.7091, prior_entropy: 0.9997, recall: 0.7091, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8957, scimark_benchmark: 945.6228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.7483, kappa: 0.4977, kb_relative_information_score: 1046.5961, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7507, predictive_accuracy: 0.7485, prior_entropy: 0.9997, recall: 0.7485, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8746, scimark_benchmark: 936.2574, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.7533, kappa: 0.5069, kb_relative_information_score: 1073.1932, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7543, predictive_accuracy: 0.7533, prior_entropy: 0.9997, recall: 0.7533, relative_absolute_error: 0.6313, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.839, scimark_benchmark: 938.988, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.7546, kappa: 0.5112, kb_relative_information_score: 923.21, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7593, predictive_accuracy: 0.7551, prior_entropy: 0.9997, recall: 0.7551, relative_absolute_error: 0.6964, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.8203, scimark_benchmark: 870.2101, usercpu_time_millis: 1310, usercpu_time_millis_testing: 720, usercpu_time_millis_training: 590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8233, f_measure: 0.7534, kappa: 0.5091, kb_relative_information_score: 919.5557, mean_absolute_error: 0.3486, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7587, predictive_accuracy: 0.754, prior_entropy: 0.9997, recall: 0.754, relative_absolute_error: 0.6976, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4107, root_relative_squared_error: 0.8216, scimark_benchmark: 848.0926, usercpu_time_millis: 1010, usercpu_time_millis_testing: 580, usercpu_time_millis_training: 430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8212, f_measure: 0.7529, kappa: 0.5074, kb_relative_information_score: 919.3622, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7565, predictive_accuracy: 0.7533, prior_entropy: 0.9997, recall: 0.7533, relative_absolute_error: 0.6977, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4115, root_relative_squared_error: 0.8232, scimark_benchmark: 945.6228, usercpu_time_millis: 220, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8169, f_measure: 0.749, kappa: 0.4993, kb_relative_information_score: 917.789, mean_absolute_error: 0.3487, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7521, predictive_accuracy: 0.7493, prior_entropy: 0.9997, recall: 0.7493, relative_absolute_error: 0.6977, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4137, root_relative_squared_error: 0.8277, scimark_benchmark: 922.613, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.7442, kappa: 0.4899, kb_relative_information_score: 921.4695, mean_absolute_error: 0.3474, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7472, predictive_accuracy: 0.7445, prior_entropy: 0.9997, recall: 0.7445, relative_absolute_error: 0.6952, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4142, root_relative_squared_error: 0.8286, scimark_benchmark: 935.0213, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.7006, kappa: 0.4041, kb_relative_information_score: 922.2995, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.708, predictive_accuracy: 0.7033, prior_entropy: 0.9997, recall: 0.7033, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.881, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.7006, kappa: 0.4041, kb_relative_information_score: 922.2995, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.708, predictive_accuracy: 0.7033, prior_entropy: 0.9997, recall: 0.7033, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.881, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.7006, kappa: 0.4041, kb_relative_information_score: 922.2995, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.708, predictive_accuracy: 0.7033, prior_entropy: 0.9997, recall: 0.7033, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.881, scimark_benchmark: 926.5859, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.7006, kappa: 0.4041, kb_relative_information_score: 922.2995, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.708, predictive_accuracy: 0.7033, prior_entropy: 0.9997, recall: 0.7033, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.881, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.6999, kappa: 0.4026, kb_relative_information_score: 919.58, mean_absolute_error: 0.343, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7074, predictive_accuracy: 0.7026, prior_entropy: 0.9997, recall: 0.7026, relative_absolute_error: 0.6862, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.8814, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.3456, kb_relative_information_score: -0.1467, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.2611, predictive_accuracy: 0.5109, prior_entropy: 0.9997, recall: 0.5109, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4999, root_relative_squared_error: 1, scimark_benchmark: 929.0296,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8111, f_measure: 0.7314, kappa: 0.4634, kb_relative_information_score: 1255.2571, mean_absolute_error: 0.2716, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7346, predictive_accuracy: 0.7325, prior_entropy: 0.9997, recall: 0.7325, relative_absolute_error: 0.5434, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.947, scimark_benchmark: 929.0296, usercpu_time_millis: 50, usercpu_time_millis_training: 50,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7089, kappa: 0.4176, kb_relative_information_score: 980.4362, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7091, predictive_accuracy: 0.7091, prior_entropy: 0.9997, recall: 0.7091, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8957, scimark_benchmark: 1350.2591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7089, kappa: 0.4176, kb_relative_information_score: 980.4362, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7091, predictive_accuracy: 0.7091, prior_entropy: 0.9997, recall: 0.7091, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8957, scimark_benchmark: 1366.7181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7089, kappa: 0.4176, kb_relative_information_score: 980.4362, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7091, predictive_accuracy: 0.7091, prior_entropy: 0.9997, recall: 0.7091, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8957, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7089, kappa: 0.4176, kb_relative_information_score: 980.4362, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7091, predictive_accuracy: 0.7091, prior_entropy: 0.9997, recall: 0.7091, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8957, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7089, kappa: 0.4176, kb_relative_information_score: 980.4362, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7091, predictive_accuracy: 0.7091, prior_entropy: 0.9997, recall: 0.7091, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8957, scimark_benchmark: 1318.4315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7089, kappa: 0.4176, kb_relative_information_score: 980.4362, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7091, predictive_accuracy: 0.7091, prior_entropy: 0.9997, recall: 0.7091, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8957, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7089, kappa: 0.4176, kb_relative_information_score: 980.4362, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7091, predictive_accuracy: 0.7091, prior_entropy: 0.9997, recall: 0.7091, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8957, scimark_benchmark: 1316.5668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7089, kappa: 0.4176, kb_relative_information_score: 980.4362, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7091, predictive_accuracy: 0.7091, prior_entropy: 0.9997, recall: 0.7091, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8957, scimark_benchmark: 1306.9281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.7483, kappa: 0.4977, kb_relative_information_score: 1046.5961, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7507, predictive_accuracy: 0.7485, prior_entropy: 0.9997, recall: 0.7485, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8746, scimark_benchmark: 1331.4379, usercpu_time_millis: 100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7727, f_measure: 0.706, kappa: 0.412, kb_relative_information_score: 1058.3148, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7071, predictive_accuracy: 0.7066, prior_entropy: 0.9997, recall: 0.7066, relative_absolute_error: 0.6212, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4803, root_relative_squared_error: 0.9609, scimark_benchmark: 1337.1928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7089, kappa: 0.4176, kb_relative_information_score: 980.4362, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7091, predictive_accuracy: 0.7091, prior_entropy: 0.9997, recall: 0.7091, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8957, scimark_benchmark: 1342.2845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7089, kappa: 0.4176, kb_relative_information_score: 980.4362, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7091, predictive_accuracy: 0.7091, prior_entropy: 0.9997, recall: 0.7091, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8957, scimark_benchmark: 1309.2287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7089, kappa: 0.4176, kb_relative_information_score: 980.4362, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7091, predictive_accuracy: 0.7091, prior_entropy: 0.9997, recall: 0.7091, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8957, scimark_benchmark: 1331.1314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7089, kappa: 0.4176, kb_relative_information_score: 980.4362, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7091, predictive_accuracy: 0.7091, prior_entropy: 0.9997, recall: 0.7091, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8957, scimark_benchmark: 1337.1928, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7089, kappa: 0.4176, kb_relative_information_score: 980.4362, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7091, predictive_accuracy: 0.7091, prior_entropy: 0.9997, recall: 0.7091, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8957, scimark_benchmark: 1338.5214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.7483, kappa: 0.4977, kb_relative_information_score: 1046.5961, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7507, predictive_accuracy: 0.7485, prior_entropy: 0.9997, recall: 0.7485, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.8746, scimark_benchmark: 1393.8432, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8159, f_measure: 0.7533, kappa: 0.5069, kb_relative_information_score: 1073.1932, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7543, predictive_accuracy: 0.7533, prior_entropy: 0.9997, recall: 0.7533, relative_absolute_error: 0.6313, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.839, scimark_benchmark: 1335.6555, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.7259, kappa: 0.4519, kb_relative_information_score: 992.0815, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7262, predictive_accuracy: 0.7259, prior_entropy: 0.9997, recall: 0.7259, relative_absolute_error: 0.6614, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9387, scimark_benchmark: 1321.4771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.7377, kappa: 0.4766, kb_relative_information_score: 1034.6818, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7402, predictive_accuracy: 0.738, prior_entropy: 0.9997, recall: 0.738, relative_absolute_error: 0.6438, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.8685, scimark_benchmark: 1318.6467, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7727, f_measure: 0.706, kappa: 0.412, kb_relative_information_score: 1058.3148, mean_absolute_error: 0.3105, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7071, predictive_accuracy: 0.7066, prior_entropy: 0.9997, recall: 0.7066, relative_absolute_error: 0.6212, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4803, root_relative_squared_error: 0.9609, scimark_benchmark: 1338.7159,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.7089, kappa: 0.4176, kb_relative_information_score: 980.4362, mean_absolute_error: 0.3287, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7091, predictive_accuracy: 0.7091, prior_entropy: 0.9997, recall: 0.7091, relative_absolute_error: 0.6577, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.8957, scimark_benchmark: 1299.5896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7477, f_measure: 0.7104, kappa: 0.4208, kb_relative_information_score: 784.2241, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.7114, predictive_accuracy: 0.7109, prior_entropy: 0.9997, recall: 0.7109, relative_absolute_error: 0.7416, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9047, scimark_benchmark: 1362.1309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7957, f_measure: 0.7254, kappa: 0.4517, kb_relative_information_score: 841.3394, mean_absolute_error: 0.3584, mean_prior_absolute_error: 0.4998, number_of_instances: 2740, precision: 0.727, predictive_accuracy: 0.7255, prior_entropy: 0.9997, recall: 0.7255, relative_absolute_error: 0.7171, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.855, scimark_benchmark: 1337.8124, usercpu_time_millis: 10, usercpu_time_millis_training: 10,

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