Task
Supervised Classification on postoperative-patient-data

Supervised Classification on postoperative-patient-data

Task 264 Supervised Classification postoperative-patient-data 308 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6083, kb_relative_information_score: 0.1516, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.5244, predictive_accuracy: 0.7241, prior_entropy: 1.0305, recall: 0.7241, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.9999, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4226, f_measure: 0.5661, kappa: -0.1226, kb_relative_information_score: -5.546, mean_absolute_error: 0.3184, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.5497, predictive_accuracy: 0.5862, prior_entropy: 1.0305, recall: 0.5862, relative_absolute_error: 1.1378, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.4784, root_relative_squared_error: 1.3081, scimark_benchmark: 851.2074, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6083, kb_relative_information_score: 7.0248, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.5244, predictive_accuracy: 0.7241, prior_entropy: 1.0305, recall: 0.7241, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.4288, root_relative_squared_error: 1.1726, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5049, f_measure: 0.5855, kappa: -0.0394, kb_relative_information_score: -1.4731, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.5292, predictive_accuracy: 0.6552, prior_entropy: 1.0305, recall: 0.6552, relative_absolute_error: 1.0193, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.3912, root_relative_squared_error: 1.0696, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4444, f_measure: 0.6356, kappa: 0.0369, kb_relative_information_score: -1.2593, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.6211, predictive_accuracy: 0.6897, prior_entropy: 1.0305, recall: 0.6897, relative_absolute_error: 1.0114, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.3984, root_relative_squared_error: 1.0893, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4444, f_measure: 0.6356, kappa: 0.0369, kb_relative_information_score: -1.2593, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.6211, predictive_accuracy: 0.6897, prior_entropy: 1.0305, recall: 0.6897, relative_absolute_error: 1.0114, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.3984, root_relative_squared_error: 1.0893, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4444, f_measure: 0.6356, kappa: 0.0369, kb_relative_information_score: -1.2593, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.6211, predictive_accuracy: 0.6897, prior_entropy: 1.0305, recall: 0.6897, relative_absolute_error: 1.0114, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.3984, root_relative_squared_error: 1.0893, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4566, f_measure: 0.5911, kappa: -0.0653, kb_relative_information_score: -2.319, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.5172, predictive_accuracy: 0.6897, prior_entropy: 1.0305, recall: 0.6897, relative_absolute_error: 1.0401, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.3802, root_relative_squared_error: 1.0396, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4444, f_measure: 0.6356, kappa: 0.0369, kb_relative_information_score: -1.2593, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.6211, predictive_accuracy: 0.6897, prior_entropy: 1.0305, recall: 0.6897, relative_absolute_error: 1.0114, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.3984, root_relative_squared_error: 1.0893, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4061, f_measure: 0.4937, kappa: -0.3097, kb_relative_information_score: -3.6445, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.4723, predictive_accuracy: 0.5172, prior_entropy: 1.0305, recall: 0.5172, relative_absolute_error: 1.0842, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.4414, root_relative_squared_error: 1.207, scimark_benchmark: 931.771, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6083, kb_relative_information_score: 7.0248, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.5244, predictive_accuracy: 0.7241, prior_entropy: 1.0305, recall: 0.7241, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.4288, root_relative_squared_error: 1.1726, scimark_benchmark: 937.5117, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4444, f_measure: 0.6356, kappa: 0.0369, kb_relative_information_score: -1.2593, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.6211, predictive_accuracy: 0.6897, prior_entropy: 1.0305, recall: 0.6897, relative_absolute_error: 1.0114, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.3984, root_relative_squared_error: 1.0893, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4752, f_measure: 0.6356, kappa: 0.0369, kb_relative_information_score: -0.9148, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.6211, predictive_accuracy: 0.6897, prior_entropy: 1.0305, recall: 0.6897, relative_absolute_error: 1.0064, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.386, root_relative_squared_error: 1.0556, scimark_benchmark: 943.1009, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4061, f_measure: 0.4937, kappa: -0.3097, kb_relative_information_score: -3.6445, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.4723, predictive_accuracy: 0.5172, prior_entropy: 1.0305, recall: 0.5172, relative_absolute_error: 1.0842, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.4414, root_relative_squared_error: 1.207, scimark_benchmark: 943.1009, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6083, kb_relative_information_score: 0.1516, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.5244, predictive_accuracy: 0.7241, prior_entropy: 1.0305, recall: 0.7241, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.9999, scimark_benchmark: 819.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4226, f_measure: 0.5661, kappa: -0.1226, kb_relative_information_score: -5.546, mean_absolute_error: 0.3184, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.5497, predictive_accuracy: 0.5862, prior_entropy: 1.0305, recall: 0.5862, relative_absolute_error: 1.1378, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.4784, root_relative_squared_error: 1.3081, scimark_benchmark: 936.2574, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6083, kb_relative_information_score: 7.0248, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.5244, predictive_accuracy: 0.7241, prior_entropy: 1.0305, recall: 0.7241, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.4288, root_relative_squared_error: 1.1726, scimark_benchmark: 730.6551,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4444, f_measure: 0.6356, kappa: 0.0369, kb_relative_information_score: -1.2593, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.6211, predictive_accuracy: 0.6897, prior_entropy: 1.0305, recall: 0.6897, relative_absolute_error: 1.0114, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.3984, root_relative_squared_error: 1.0893, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4566, f_measure: 0.5911, kappa: -0.0653, kb_relative_information_score: -2.319, mean_absolute_error: 0.2911, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.5172, predictive_accuracy: 0.6897, prior_entropy: 1.0305, recall: 0.6897, relative_absolute_error: 1.0401, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.3802, root_relative_squared_error: 1.0396, scimark_benchmark: 933.3455,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4061, f_measure: 0.4937, kappa: -0.3097, kb_relative_information_score: -3.6445, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.4723, predictive_accuracy: 0.5172, prior_entropy: 1.0305, recall: 0.5172, relative_absolute_error: 1.0842, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.4414, root_relative_squared_error: 1.207, scimark_benchmark: 901.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4762, f_measure: 0.6083, kb_relative_information_score: -1.6067, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.5244, predictive_accuracy: 0.7241, prior_entropy: 1.0305, recall: 0.7241, relative_absolute_error: 1.0213, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.3792, root_relative_squared_error: 1.0367, scimark_benchmark: 938.4601, usercpu_time_millis: 670, usercpu_time_millis_testing: 180, usercpu_time_millis_training: 490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4177, f_measure: 0.6083, kb_relative_information_score: -1.2237, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.5244, predictive_accuracy: 0.7241, prior_entropy: 1.0305, recall: 0.7241, relative_absolute_error: 1.0157, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.3771, root_relative_squared_error: 1.0311, scimark_benchmark: 943.2803, usercpu_time_millis: 380, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 260,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4643, f_measure: 0.5911, kappa: -0.0653, kb_relative_information_score: -1.6473, mean_absolute_error: 0.2869, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.5172, predictive_accuracy: 0.6897, prior_entropy: 1.0305, recall: 0.6897, relative_absolute_error: 1.0254, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.3822, root_relative_squared_error: 1.0452, scimark_benchmark: 935.0213, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5311, f_measure: 0.6083, kb_relative_information_score: -1.046, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.5244, predictive_accuracy: 0.7241, prior_entropy: 1.0305, recall: 0.7241, relative_absolute_error: 1.0079, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.3731, root_relative_squared_error: 1.0201, scimark_benchmark: 932.4744, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4177, f_measure: 0.5733, kappa: -0.124, kb_relative_information_score: -3.3621, mean_absolute_error: 0.3002, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.5096, predictive_accuracy: 0.6552, prior_entropy: 1.0305, recall: 0.6552, relative_absolute_error: 1.0728, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.4098, root_relative_squared_error: 1.1204, scimark_benchmark: 889.4922, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5925, f_measure: 0.5733, kappa: -0.0584, kb_relative_information_score: -12.7491, mean_absolute_error: 0.3667, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.5096, predictive_accuracy: 0.6552, prior_entropy: 1.0305, recall: 0.6552, relative_absolute_error: 1.3103, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.4158, root_relative_squared_error: 1.137, scimark_benchmark: 938.3115,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6083, kb_relative_information_score: 7.0248, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.5244, predictive_accuracy: 0.7241, prior_entropy: 1.0305, recall: 0.7241, relative_absolute_error: 0.6572, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.4288, root_relative_squared_error: 1.1726, scimark_benchmark: 938.3115,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4653, f_measure: 0.5172, kappa: -0.2083, kb_relative_information_score: -14.2061, mean_absolute_error: 0.3826, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.5172, predictive_accuracy: 0.5172, prior_entropy: 1.0305, recall: 0.5172, relative_absolute_error: 1.3674, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.1603, scimark_benchmark: 936.7184, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6084, f_measure: 0.5911, kappa: -0.0316, kb_relative_information_score: -0.217, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.5172, predictive_accuracy: 0.6897, prior_entropy: 1.0305, recall: 0.6897, relative_absolute_error: 0.9899, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.3875, root_relative_squared_error: 1.0596, scimark_benchmark: 1227.9507, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5049, f_measure: 0.5855, kappa: -0.0394, kb_relative_information_score: -1.4731, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.5292, predictive_accuracy: 0.6552, prior_entropy: 1.0305, recall: 0.6552, relative_absolute_error: 1.0193, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.3912, root_relative_squared_error: 1.0696, scimark_benchmark: 932.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5049, f_measure: 0.5855, kappa: -0.0394, kb_relative_information_score: -1.4731, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.5292, predictive_accuracy: 0.6552, prior_entropy: 1.0305, recall: 0.6552, relative_absolute_error: 1.0193, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.3912, root_relative_squared_error: 1.0696, scimark_benchmark: 938.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4444, f_measure: 0.6356, kappa: 0.0369, kb_relative_information_score: -1.2593, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.6211, predictive_accuracy: 0.6897, prior_entropy: 1.0305, recall: 0.6897, relative_absolute_error: 1.0114, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.3984, root_relative_squared_error: 1.0893, scimark_benchmark: 1288.1375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6083, kb_relative_information_score: 0.1516, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.5244, predictive_accuracy: 0.7241, prior_entropy: 1.0305, recall: 0.7241, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.9999, scimark_benchmark: 1371.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5049, f_measure: 0.5855, kappa: -0.0394, kb_relative_information_score: -1.4731, mean_absolute_error: 0.2852, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.5292, predictive_accuracy: 0.6552, prior_entropy: 1.0305, recall: 0.6552, relative_absolute_error: 1.0193, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.3912, root_relative_squared_error: 1.0696, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4444, f_measure: 0.6356, kappa: 0.0369, kb_relative_information_score: -1.2593, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.6211, predictive_accuracy: 0.6897, prior_entropy: 1.0305, recall: 0.6897, relative_absolute_error: 1.0114, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.3984, root_relative_squared_error: 1.0893, scimark_benchmark: 1380.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4444, f_measure: 0.6356, kappa: 0.0369, kb_relative_information_score: -1.2593, mean_absolute_error: 0.283, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.6211, predictive_accuracy: 0.6897, prior_entropy: 1.0305, recall: 0.6897, relative_absolute_error: 1.0114, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.3984, root_relative_squared_error: 1.0893, scimark_benchmark: 1354.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4061, f_measure: 0.4937, kappa: -0.3097, kb_relative_information_score: -3.6445, mean_absolute_error: 0.3034, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.4723, predictive_accuracy: 0.5172, prior_entropy: 1.0305, recall: 0.5172, relative_absolute_error: 1.0842, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.4414, root_relative_squared_error: 1.207, scimark_benchmark: 1345.7204, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6083, kb_relative_information_score: 0.1516, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.5244, predictive_accuracy: 0.7241, prior_entropy: 1.0305, recall: 0.7241, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.9999, scimark_benchmark: 1064.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4464, f_measure: 0.5149, kappa: -0.2694, kb_relative_information_score: -3.9967, mean_absolute_error: 0.2995, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.4828, predictive_accuracy: 0.5517, prior_entropy: 1.0305, recall: 0.5517, relative_absolute_error: 1.0704, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.4366, root_relative_squared_error: 1.1939, scimark_benchmark: 1318.6149, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4752, f_measure: 0.6127, kappa: -0.0211, kb_relative_information_score: -3.5118, mean_absolute_error: 0.3016, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.5903, predictive_accuracy: 0.6552, prior_entropy: 1.0305, recall: 0.6552, relative_absolute_error: 1.0777, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.426, root_relative_squared_error: 1.1649, scimark_benchmark: 892.0148, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3594, f_measure: 0.6083, kb_relative_information_score: 0.0927, mean_absolute_error: 0.2786, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.5244, predictive_accuracy: 0.7241, prior_entropy: 1.0305, recall: 0.7241, relative_absolute_error: 0.9955, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.3662, root_relative_squared_error: 1.0014, scimark_benchmark: 1342.2985, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5136, f_measure: 0.6083, kb_relative_information_score: 0.1446, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.5244, predictive_accuracy: 0.7241, prior_entropy: 1.0305, recall: 0.7241, relative_absolute_error: 0.993, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.3657, root_relative_squared_error: 1, scimark_benchmark: 1347.5461, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6083, kb_relative_information_score: 0.1516, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.5244, predictive_accuracy: 0.7241, prior_entropy: 1.0305, recall: 0.7241, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.9999, scimark_benchmark: 922.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6083, kb_relative_information_score: -20.9616, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.5244, predictive_accuracy: 0.7241, prior_entropy: 1.0305, recall: 0.7241, relative_absolute_error: 1.5883, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.4714, root_relative_squared_error: 1.289, scimark_benchmark: 1086.8793, usercpu_time_millis: 510, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6083, kb_relative_information_score: 0.1516, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.5244, predictive_accuracy: 0.7241, prior_entropy: 1.0305, recall: 0.7241, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.9999, scimark_benchmark: 1348.7888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6083, kb_relative_information_score: 0.1516, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.5244, predictive_accuracy: 0.7241, prior_entropy: 1.0305, recall: 0.7241, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.9999, scimark_benchmark: 1347.388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.6083, kb_relative_information_score: 0.1516, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.2798, number_of_instances: 29, precision: 0.5244, predictive_accuracy: 0.7241, prior_entropy: 1.0305, recall: 0.7241, relative_absolute_error: 0.9939, root_mean_prior_squared_error: 0.3657, root_mean_squared_error: 0.3657, root_relative_squared_error: 0.9999, scimark_benchmark: 935.5075,

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