Task
Supervised Classification on diabetes_numeric

Supervised Classification on diabetes_numeric

Task 4361 Supervised Classification diabetes_numeric 215 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4091, f_measure: 0.482, kappa: -0.0442, kb_relative_information_score: -7.4062, mean_absolute_error: 0.4835, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.4829, predictive_accuracy: 0.5628, prior_entropy: 0.971, recall: 0.5628, relative_absolute_error: 1.0093, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.524, root_relative_squared_error: 1.0717, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6487, f_measure: 0.6261, kappa: 0.2192, kb_relative_information_score: 66.2686, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.6267, predictive_accuracy: 0.6256, prior_entropy: 0.971, recall: 0.6256, relative_absolute_error: 0.8489, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4945, root_relative_squared_error: 1.0114, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6109, f_measure: 0.6059, kappa: 0.1737, kb_relative_information_score: 68.2122, mean_absolute_error: 0.3986, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.605, predictive_accuracy: 0.607, prior_entropy: 0.971, recall: 0.607, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.1458, scimark_benchmark: 934.3687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4196, f_measure: 0.4202, kappa: -0.1818, kb_relative_information_score: -27.1109, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.3804, predictive_accuracy: 0.5, prior_entropy: 0.971, recall: 0.5, relative_absolute_error: 1.0437, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4462, scimark_benchmark: 944.1067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4196, f_measure: 0.4202, kappa: -0.1818, kb_relative_information_score: -27.1109, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.3804, predictive_accuracy: 0.5, prior_entropy: 0.971, recall: 0.5, relative_absolute_error: 1.0437, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4462, scimark_benchmark: 916.0735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4034, f_measure: 0.4845, kappa: -0.0418, kb_relative_information_score: -10.8806, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.4861, predictive_accuracy: 0.5628, prior_entropy: 0.971, recall: 0.5628, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5259, root_relative_squared_error: 1.0757, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6739, f_measure: 0.6392, kappa: 0.2372, kb_relative_information_score: 59.7592, mean_absolute_error: 0.4173, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.6429, predictive_accuracy: 0.6535, prior_entropy: 0.971, recall: 0.6535, relative_absolute_error: 0.871, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9603, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, f_measure: 0.625, kappa: 0.2082, kb_relative_information_score: 53.8365, mean_absolute_error: 0.4253, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.6317, predictive_accuracy: 0.6442, prior_entropy: 0.971, recall: 0.6442, relative_absolute_error: 0.8878, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.9607, scimark_benchmark: 938.9588, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6017, f_measure: 0.6148, kappa: 0.1891, kb_relative_information_score: 55.0579, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.6258, predictive_accuracy: 0.6395, prior_entropy: 0.971, recall: 0.6395, relative_absolute_error: 0.8807, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4884, root_relative_squared_error: 0.999, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4196, f_measure: 0.4202, kappa: -0.1818, kb_relative_information_score: -27.1109, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.3804, predictive_accuracy: 0.5, prior_entropy: 0.971, recall: 0.5, relative_absolute_error: 1.0437, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4462, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4196, f_measure: 0.4202, kappa: -0.1818, kb_relative_information_score: -27.1109, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.3804, predictive_accuracy: 0.5, prior_entropy: 0.971, recall: 0.5, relative_absolute_error: 1.0437, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4462, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4055, f_measure: 0.4845, kappa: -0.0418, kb_relative_information_score: -10.7491, mean_absolute_error: 0.4875, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.4861, predictive_accuracy: 0.5628, prior_entropy: 0.971, recall: 0.5628, relative_absolute_error: 1.0175, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.525, root_relative_squared_error: 1.0737, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.656, f_measure: 0.6314, kappa: 0.2321, kb_relative_information_score: 69.021, mean_absolute_error: 0.3994, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.633, predictive_accuracy: 0.6302, prior_entropy: 0.971, recall: 0.6302, relative_absolute_error: 0.8338, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.0597, scimark_benchmark: 943.1009, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4091, f_measure: 0.482, kappa: -0.0442, kb_relative_information_score: -7.4062, mean_absolute_error: 0.4835, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.4829, predictive_accuracy: 0.5628, prior_entropy: 0.971, recall: 0.5628, relative_absolute_error: 1.0093, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.524, root_relative_squared_error: 1.0717, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6487, f_measure: 0.6261, kappa: 0.2192, kb_relative_information_score: 66.2686, mean_absolute_error: 0.4067, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.6267, predictive_accuracy: 0.6256, prior_entropy: 0.971, recall: 0.6256, relative_absolute_error: 0.8489, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4945, root_relative_squared_error: 1.0114, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6109, f_measure: 0.6059, kappa: 0.1737, kb_relative_information_score: 68.2122, mean_absolute_error: 0.3986, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.605, predictive_accuracy: 0.607, prior_entropy: 0.971, recall: 0.607, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.1458, scimark_benchmark: 936.2574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4196, f_measure: 0.4202, kappa: -0.1818, kb_relative_information_score: -27.1109, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.3804, predictive_accuracy: 0.5, prior_entropy: 0.971, recall: 0.5, relative_absolute_error: 1.0437, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4462, scimark_benchmark: 927.2882, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4196, f_measure: 0.4202, kappa: -0.1818, kb_relative_information_score: -27.1109, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.3804, predictive_accuracy: 0.5, prior_entropy: 0.971, recall: 0.5, relative_absolute_error: 1.0437, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4462, scimark_benchmark: 943.6618, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4034, f_measure: 0.4845, kappa: -0.0418, kb_relative_information_score: -10.8806, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.4861, predictive_accuracy: 0.5628, prior_entropy: 0.971, recall: 0.5628, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5259, root_relative_squared_error: 1.0757, scimark_benchmark: 933.3455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6739, f_measure: 0.6392, kappa: 0.2372, kb_relative_information_score: 59.7592, mean_absolute_error: 0.4173, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.6429, predictive_accuracy: 0.6535, prior_entropy: 0.971, recall: 0.6535, relative_absolute_error: 0.871, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9603, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, f_measure: 0.625, kappa: 0.2082, kb_relative_information_score: 53.8365, mean_absolute_error: 0.4253, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.6317, predictive_accuracy: 0.6442, prior_entropy: 0.971, recall: 0.6442, relative_absolute_error: 0.8878, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.9607, scimark_benchmark: 905.2959, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4034, f_measure: 0.4845, kappa: -0.0418, kb_relative_information_score: -10.8806, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.4861, predictive_accuracy: 0.5628, prior_entropy: 0.971, recall: 0.5628, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5259, root_relative_squared_error: 1.0757, scimark_benchmark: 936.9595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6017, f_measure: 0.6148, kappa: 0.1891, kb_relative_information_score: 55.0579, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.6258, predictive_accuracy: 0.6395, prior_entropy: 0.971, recall: 0.6395, relative_absolute_error: 0.8807, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4884, root_relative_squared_error: 0.999, scimark_benchmark: 730.6551, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.656, f_measure: 0.6314, kappa: 0.2321, kb_relative_information_score: 69.021, mean_absolute_error: 0.3994, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.633, predictive_accuracy: 0.6302, prior_entropy: 0.971, recall: 0.6302, relative_absolute_error: 0.8338, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.0597, scimark_benchmark: 901.4991, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.549, f_measure: 0.5531, kappa: 0.0549, kb_relative_information_score: 3.9427, mean_absolute_error: 0.4734, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.5498, predictive_accuracy: 0.5698, prior_entropy: 0.971, recall: 0.5698, relative_absolute_error: 0.9882, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5111, root_relative_squared_error: 1.0453, scimark_benchmark: 934.695, usercpu_time_millis: 80, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5443, f_measure: 0.557, kappa: 0.063, kb_relative_information_score: 2.5109, mean_absolute_error: 0.4745, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.5536, predictive_accuracy: 0.5721, prior_entropy: 0.971, recall: 0.5721, relative_absolute_error: 0.9905, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5125, root_relative_squared_error: 1.0482, scimark_benchmark: 937.5683, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5493, f_measure: 0.5588, kappa: 0.067, kb_relative_information_score: 4.9446, mean_absolute_error: 0.4723, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.5553, predictive_accuracy: 0.5721, prior_entropy: 0.971, recall: 0.5721, relative_absolute_error: 0.9859, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5108, root_relative_squared_error: 1.0447, scimark_benchmark: 862.7006, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5529, f_measure: 0.5512, kappa: 0.0508, kb_relative_information_score: 5.3741, mean_absolute_error: 0.4726, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.5473, predictive_accuracy: 0.5651, prior_entropy: 0.971, recall: 0.5651, relative_absolute_error: 0.9865, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5118, root_relative_squared_error: 1.0468, scimark_benchmark: 917.2109, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5354, f_measure: 0.5502, kappa: 0.0487, kb_relative_information_score: 1.1493, mean_absolute_error: 0.4757, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.5464, predictive_accuracy: 0.5651, prior_entropy: 0.971, recall: 0.5651, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5154, root_relative_squared_error: 1.054, scimark_benchmark: 921.466, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6809, f_measure: 0.6452, kappa: 0.2495, kb_relative_information_score: 102.6997, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.6463, predictive_accuracy: 0.6558, prior_entropy: 0.971, recall: 0.6558, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0204, scimark_benchmark: 889.4922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6809, f_measure: 0.6452, kappa: 0.2495, kb_relative_information_score: 102.6997, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.6463, predictive_accuracy: 0.6558, prior_entropy: 0.971, recall: 0.6558, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0204, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6809, f_measure: 0.6452, kappa: 0.2495, kb_relative_information_score: 102.6997, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.6463, predictive_accuracy: 0.6558, prior_entropy: 0.971, recall: 0.6558, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0204, scimark_benchmark: 929.0296, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6809, f_measure: 0.6452, kappa: 0.2495, kb_relative_information_score: 102.6997, mean_absolute_error: 0.3613, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.6463, predictive_accuracy: 0.6558, prior_entropy: 0.971, recall: 0.6558, relative_absolute_error: 0.7542, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0204, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, f_measure: 0.6479, kappa: 0.2554, kb_relative_information_score: 103.8192, mean_absolute_error: 0.3602, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.649, predictive_accuracy: 0.6581, prior_entropy: 0.971, recall: 0.6581, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4972, root_relative_squared_error: 1.0168, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.388, f_measure: 0.4557, kb_relative_information_score: -3.2034, mean_absolute_error: 0.4811, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.3656, predictive_accuracy: 0.6047, prior_entropy: 0.971, recall: 0.6047, relative_absolute_error: 1.0043, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.491, root_relative_squared_error: 1.0043, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6927, f_measure: 0.665, kappa: 0.2935, kb_relative_information_score: 133.6611, mean_absolute_error: 0.323, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.6639, predictive_accuracy: 0.6698, prior_entropy: 0.971, recall: 0.6698, relative_absolute_error: 0.6742, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5509, root_relative_squared_error: 1.1266, scimark_benchmark: 936.1714, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7044, f_measure: 0.6803, kappa: 0.3248, kb_relative_information_score: 146.4956, mean_absolute_error: 0.3097, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.6801, predictive_accuracy: 0.686, prior_entropy: 0.971, recall: 0.686, relative_absolute_error: 0.6465, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5299, root_relative_squared_error: 1.0838, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7105, f_measure: 0.6973, kappa: 0.3597, kb_relative_information_score: 152.9383, mean_absolute_error: 0.3051, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.7021, predictive_accuracy: 0.707, prior_entropy: 0.971, recall: 0.707, relative_absolute_error: 0.6369, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.518, root_relative_squared_error: 1.0595, scimark_benchmark: 938.3115, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7025, f_measure: 0.6759, kappa: 0.3147, kb_relative_information_score: 139.0209, mean_absolute_error: 0.3192, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.682, predictive_accuracy: 0.6884, prior_entropy: 0.971, recall: 0.6884, relative_absolute_error: 0.6662, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5208, root_relative_squared_error: 1.0651, scimark_benchmark: 938.3115,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4034, f_measure: 0.4845, kappa: -0.0418, kb_relative_information_score: -10.8806, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.4861, predictive_accuracy: 0.5628, prior_entropy: 0.971, recall: 0.5628, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5259, root_relative_squared_error: 1.0757, scimark_benchmark: 1338.5214,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4034, f_measure: 0.4845, kappa: -0.0418, kb_relative_information_score: -10.8806, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.4861, predictive_accuracy: 0.5628, prior_entropy: 0.971, recall: 0.5628, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5259, root_relative_squared_error: 1.0757, scimark_benchmark: 1324.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, f_measure: 0.625, kappa: 0.2082, kb_relative_information_score: 53.8365, mean_absolute_error: 0.4253, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.6317, predictive_accuracy: 0.6442, prior_entropy: 0.971, recall: 0.6442, relative_absolute_error: 0.8878, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.9607, scimark_benchmark: 1309.0674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4034, f_measure: 0.4845, kappa: -0.0418, kb_relative_information_score: -10.8806, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.4861, predictive_accuracy: 0.5628, prior_entropy: 0.971, recall: 0.5628, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5259, root_relative_squared_error: 1.0757, scimark_benchmark: 1340.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6017, f_measure: 0.6148, kappa: 0.1891, kb_relative_information_score: 55.0579, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.6258, predictive_accuracy: 0.6395, prior_entropy: 0.971, recall: 0.6395, relative_absolute_error: 0.8807, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4884, root_relative_squared_error: 0.999, scimark_benchmark: 1375.1578, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4055, f_measure: 0.4845, kappa: -0.0418, kb_relative_information_score: -10.7491, mean_absolute_error: 0.4875, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.4861, predictive_accuracy: 0.5628, prior_entropy: 0.971, recall: 0.5628, relative_absolute_error: 1.0175, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.525, root_relative_squared_error: 1.0737, scimark_benchmark: 1342.8584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4034, f_measure: 0.4845, kappa: -0.0418, kb_relative_information_score: -10.8806, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.4861, predictive_accuracy: 0.5628, prior_entropy: 0.971, recall: 0.5628, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5259, root_relative_squared_error: 1.0757, scimark_benchmark: 1324.7884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, f_measure: 0.625, kappa: 0.2082, kb_relative_information_score: 53.8365, mean_absolute_error: 0.4253, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.6317, predictive_accuracy: 0.6442, prior_entropy: 0.971, recall: 0.6442, relative_absolute_error: 0.8878, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4698, root_relative_squared_error: 0.9607, scimark_benchmark: 1315.9287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4034, f_measure: 0.4845, kappa: -0.0418, kb_relative_information_score: -10.8806, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.4861, predictive_accuracy: 0.5628, prior_entropy: 0.971, recall: 0.5628, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5259, root_relative_squared_error: 1.0757, scimark_benchmark: 1393.8432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4034, f_measure: 0.4845, kappa: -0.0418, kb_relative_information_score: -10.8806, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.4861, predictive_accuracy: 0.5628, prior_entropy: 0.971, recall: 0.5628, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5259, root_relative_squared_error: 1.0757, scimark_benchmark: 1321.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4034, f_measure: 0.4845, kappa: -0.0418, kb_relative_information_score: -10.8806, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.4861, predictive_accuracy: 0.5628, prior_entropy: 0.971, recall: 0.5628, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5259, root_relative_squared_error: 1.0757, scimark_benchmark: 1325.8468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4034, f_measure: 0.4845, kappa: -0.0418, kb_relative_information_score: -10.8806, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.4861, predictive_accuracy: 0.5628, prior_entropy: 0.971, recall: 0.5628, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5259, root_relative_squared_error: 1.0757, scimark_benchmark: 1332.7986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4034, f_measure: 0.4845, kappa: -0.0418, kb_relative_information_score: -10.8806, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.4861, predictive_accuracy: 0.5628, prior_entropy: 0.971, recall: 0.5628, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5259, root_relative_squared_error: 1.0757, scimark_benchmark: 1313.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6017, f_measure: 0.6148, kappa: 0.1891, kb_relative_information_score: 55.0579, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.6258, predictive_accuracy: 0.6395, prior_entropy: 0.971, recall: 0.6395, relative_absolute_error: 0.8807, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.4884, root_relative_squared_error: 0.999, scimark_benchmark: 1358.6198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.656, f_measure: 0.6314, kappa: 0.2321, kb_relative_information_score: 69.021, mean_absolute_error: 0.3994, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.633, predictive_accuracy: 0.6302, prior_entropy: 0.971, recall: 0.6302, relative_absolute_error: 0.8338, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5182, root_relative_squared_error: 1.0597, scimark_benchmark: 1310.6554, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6109, f_measure: 0.6059, kappa: 0.1737, kb_relative_information_score: 68.2122, mean_absolute_error: 0.3986, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.605, predictive_accuracy: 0.607, prior_entropy: 0.971, recall: 0.607, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.1458, scimark_benchmark: 1319.5773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4034, f_measure: 0.4845, kappa: -0.0418, kb_relative_information_score: -10.8806, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.4791, number_of_instances: 430, precision: 0.4861, predictive_accuracy: 0.5628, prior_entropy: 0.971, recall: 0.5628, relative_absolute_error: 1.0178, root_mean_prior_squared_error: 0.4889, root_mean_squared_error: 0.5259, root_relative_squared_error: 1.0757, scimark_benchmark: 1396.1629,

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