OpenML
Supervised Classification on kidney

Supervised Classification on kidney

Task 4513 Supervised Classification kidney 240 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.788, kappa: 0.5747, kb_relative_information_score: 0.4528, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.4987, weighted_recall: 0.7882, number_of_instances: 760, precision: 0.788, predictive_accuracy: 0.7882, prior_entropy: 0.998, relative_absolute_error: 0.5734, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7377, scimark_benchmark: 931.1106, unweighted_recall: 0.7871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7688, f_measure: 0.7196, kappa: 0.4416, kb_relative_information_score: 0.328, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4987, weighted_recall: 0.7197, number_of_instances: 760, precision: 0.7249, predictive_accuracy: 0.7197, prior_entropy: 0.998, relative_absolute_error: 0.688, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4529, root_relative_squared_error: 0.9071, scimark_benchmark: 979.7764, unweighted_recall: 0.7222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.6726, kappa: 0.3443, kb_relative_information_score: 191.4676, mean_absolute_error: 0.3798, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.6733, predictive_accuracy: 0.6724, prior_entropy: 0.9981, recall: 0.6724, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4802, root_relative_squared_error: 0.9618, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7526, kappa: 0.5039, kb_relative_information_score: 291.5341, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7526, predictive_accuracy: 0.7526, prior_entropy: 0.9981, recall: 0.7526, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8194, scimark_benchmark: 972.587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7711, kappa: 0.5412, kb_relative_information_score: 353.9769, mean_absolute_error: 0.2749, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7713, predictive_accuracy: 0.7711, prior_entropy: 0.9981, recall: 0.7711, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8352, scimark_benchmark: 931.4089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6083, f_measure: 0.5579, kappa: 0.2255, kb_relative_information_score: 193.7781, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7824, predictive_accuracy: 0.6289, prior_entropy: 0.9981, recall: 0.6289, relative_absolute_error: 0.7441, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6091, root_relative_squared_error: 1.22, scimark_benchmark: 901.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6083, f_measure: 0.5579, kappa: 0.2255, kb_relative_information_score: 193.7781, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7824, predictive_accuracy: 0.6289, prior_entropy: 0.9981, recall: 0.6289, relative_absolute_error: 0.7441, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6091, root_relative_squared_error: 1.22, scimark_benchmark: 904.0772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.7094, kappa: 0.4191, kb_relative_information_score: 229.0599, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7116, predictive_accuracy: 0.7092, prior_entropy: 0.9981, recall: 0.7092, relative_absolute_error: 0.7132, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8837, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.7094, kappa: 0.4191, kb_relative_information_score: 229.0599, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7116, predictive_accuracy: 0.7092, prior_entropy: 0.9981, recall: 0.7092, relative_absolute_error: 0.7132, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8837, scimark_benchmark: 938.191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.7133, kappa: 0.427, kb_relative_information_score: 253.7218, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7154, predictive_accuracy: 0.7132, prior_entropy: 0.9981, recall: 0.7132, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4186, root_relative_squared_error: 0.8384, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.7278, kappa: 0.455, kb_relative_information_score: 231.9695, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7287, predictive_accuracy: 0.7276, prior_entropy: 0.9981, recall: 0.7276, relative_absolute_error: 0.7195, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.8617, scimark_benchmark: 938.191, usercpu_time_millis: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.7196, kappa: 0.4375, kb_relative_information_score: 282.7576, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7196, predictive_accuracy: 0.7197, prior_entropy: 0.9981, recall: 0.7197, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.8878, scimark_benchmark: 944.1067, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6083, f_measure: 0.5579, kappa: 0.2255, kb_relative_information_score: 193.7781, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7824, predictive_accuracy: 0.6289, prior_entropy: 0.9981, recall: 0.6289, relative_absolute_error: 0.7441, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6091, root_relative_squared_error: 1.22, scimark_benchmark: 939.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6083, f_measure: 0.5579, kappa: 0.2255, kb_relative_information_score: 193.7781, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7824, predictive_accuracy: 0.6289, prior_entropy: 0.9981, recall: 0.6289, relative_absolute_error: 0.7441, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6091, root_relative_squared_error: 1.22, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.7094, kappa: 0.4191, kb_relative_information_score: 229.0599, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7116, predictive_accuracy: 0.7092, prior_entropy: 0.9981, recall: 0.7092, relative_absolute_error: 0.7132, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8837, scimark_benchmark: 974.2014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.7094, kappa: 0.4191, kb_relative_information_score: 229.0599, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7116, predictive_accuracy: 0.7092, prior_entropy: 0.9981, recall: 0.7092, relative_absolute_error: 0.7132, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8837, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.788, kappa: 0.5747, kb_relative_information_score: 344.1191, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7881, predictive_accuracy: 0.7882, prior_entropy: 0.9981, recall: 0.7882, relative_absolute_error: 0.5734, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7377, scimark_benchmark: 947.1781, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.6726, kappa: 0.3443, kb_relative_information_score: 191.4676, mean_absolute_error: 0.3798, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.6733, predictive_accuracy: 0.6724, prior_entropy: 0.9981, recall: 0.6724, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4802, root_relative_squared_error: 0.9618, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7526, kappa: 0.5039, kb_relative_information_score: 291.5341, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7526, predictive_accuracy: 0.7526, prior_entropy: 0.9981, recall: 0.7526, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8194, scimark_benchmark: 908.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.7711, kappa: 0.5412, kb_relative_information_score: 353.9769, mean_absolute_error: 0.2749, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7713, predictive_accuracy: 0.7711, prior_entropy: 0.9981, recall: 0.7711, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.417, root_relative_squared_error: 0.8352, scimark_benchmark: 940.1541, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6083, f_measure: 0.5579, kappa: 0.2255, kb_relative_information_score: 193.7781, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7824, predictive_accuracy: 0.6289, prior_entropy: 0.9981, recall: 0.6289, relative_absolute_error: 0.7441, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6091, root_relative_squared_error: 1.22, scimark_benchmark: 904.5548, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7389, f_measure: 0.6884, kappa: 0.3762, kb_relative_information_score: 200.6852, mean_absolute_error: 0.3722, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.6894, predictive_accuracy: 0.6882, prior_entropy: 0.9981, recall: 0.6882, relative_absolute_error: 0.7465, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.9184, scimark_benchmark: 938.1282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.7094, kappa: 0.4191, kb_relative_information_score: 229.0599, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7116, predictive_accuracy: 0.7092, prior_entropy: 0.9981, recall: 0.7092, relative_absolute_error: 0.7132, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8837, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.7094, kappa: 0.4191, kb_relative_information_score: 229.0599, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7116, predictive_accuracy: 0.7092, prior_entropy: 0.9981, recall: 0.7092, relative_absolute_error: 0.7132, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8837, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8178, f_measure: 0.7133, kappa: 0.427, kb_relative_information_score: 253.7218, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7154, predictive_accuracy: 0.7132, prior_entropy: 0.9981, recall: 0.7132, relative_absolute_error: 0.6886, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4186, root_relative_squared_error: 0.8384, scimark_benchmark: 941.4991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.7278, kappa: 0.455, kb_relative_information_score: 231.9695, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7287, predictive_accuracy: 0.7276, prior_entropy: 0.9981, recall: 0.7276, relative_absolute_error: 0.7195, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.8617, scimark_benchmark: 938.4601, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.7094, kappa: 0.4191, kb_relative_information_score: 229.0599, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7116, predictive_accuracy: 0.7092, prior_entropy: 0.9981, recall: 0.7092, relative_absolute_error: 0.7132, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8837, scimark_benchmark: 932.438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7945, f_measure: 0.7196, kappa: 0.4375, kb_relative_information_score: 282.7576, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7196, predictive_accuracy: 0.7197, prior_entropy: 0.9981, recall: 0.7197, relative_absolute_error: 0.642, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.8878, scimark_benchmark: 936.9595, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.788, kappa: 0.5747, kb_relative_information_score: 344.1191, mean_absolute_error: 0.2859, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7881, predictive_accuracy: 0.7882, prior_entropy: 0.9981, recall: 0.7882, relative_absolute_error: 0.5734, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3684, root_relative_squared_error: 0.7377, scimark_benchmark: 938.988, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.7703, kappa: 0.539, kb_relative_information_score: 292.8791, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7716, predictive_accuracy: 0.7711, prior_entropy: 0.9981, recall: 0.7711, relative_absolute_error: 0.6481, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7702, scimark_benchmark: 908.9569, usercpu_time_millis: 320, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.7691, kappa: 0.5366, kb_relative_information_score: 295.9109, mean_absolute_error: 0.3209, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7701, predictive_accuracy: 0.7697, prior_entropy: 0.9981, recall: 0.7697, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3844, root_relative_squared_error: 0.77, scimark_benchmark: 934.7923, usercpu_time_millis: 130, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.7691, kappa: 0.5366, kb_relative_information_score: 294.0396, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7701, predictive_accuracy: 0.7697, prior_entropy: 0.9981, recall: 0.7697, relative_absolute_error: 0.6454, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.7733, scimark_benchmark: 936.3373, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.7852, kappa: 0.5688, kb_relative_information_score: 300.6471, mean_absolute_error: 0.3176, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7856, predictive_accuracy: 0.7855, prior_entropy: 0.9981, recall: 0.7855, relative_absolute_error: 0.637, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.3839, root_relative_squared_error: 0.7688, scimark_benchmark: 920.5394, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.78, kappa: 0.5586, kb_relative_information_score: 298.9488, mean_absolute_error: 0.3182, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7802, predictive_accuracy: 0.7803, prior_entropy: 0.9981, recall: 0.7803, relative_absolute_error: 0.6382, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.391, root_relative_squared_error: 0.783, scimark_benchmark: 941.8684, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.7225, kappa: 0.4457, kb_relative_information_score: 324.0027, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7253, predictive_accuracy: 0.7224, prior_entropy: 0.9981, recall: 0.7224, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.433, root_relative_squared_error: 0.8672, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.7225, kappa: 0.4457, kb_relative_information_score: 324.0027, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7253, predictive_accuracy: 0.7224, prior_entropy: 0.9981, recall: 0.7224, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.433, root_relative_squared_error: 0.8672, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.828, f_measure: 0.7225, kappa: 0.4457, kb_relative_information_score: 324.0027, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7253, predictive_accuracy: 0.7224, prior_entropy: 0.9981, recall: 0.7224, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.433, root_relative_squared_error: 0.8672, scimark_benchmark: 936.7184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7198, kappa: 0.4406, kb_relative_information_score: 321.5092, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.723, predictive_accuracy: 0.7197, prior_entropy: 0.9981, recall: 0.7197, relative_absolute_error: 0.5845, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8704, scimark_benchmark: 936.1714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7224, kappa: 0.446, kb_relative_information_score: 320.6504, mean_absolute_error: 0.2926, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7259, predictive_accuracy: 0.7224, prior_entropy: 0.9981, recall: 0.7224, relative_absolute_error: 0.5868, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.8637, scimark_benchmark: 936.1714,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.6726, kappa: 0.3443, kb_relative_information_score: 191.4676, mean_absolute_error: 0.3798, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.6733, predictive_accuracy: 0.6724, prior_entropy: 0.9981, recall: 0.6724, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4802, root_relative_squared_error: 0.9618, scimark_benchmark: 1322.3407,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.6726, kappa: 0.3443, kb_relative_information_score: 191.4676, mean_absolute_error: 0.3798, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.6733, predictive_accuracy: 0.6724, prior_entropy: 0.9981, recall: 0.6724, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4802, root_relative_squared_error: 0.9618, scimark_benchmark: 1313.8988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6083, f_measure: 0.5579, kappa: 0.2255, kb_relative_information_score: 193.7781, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7824, predictive_accuracy: 0.6289, prior_entropy: 0.9981, recall: 0.6289, relative_absolute_error: 0.7441, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.6091, root_relative_squared_error: 1.22, scimark_benchmark: 1324.8408,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6814, f_measure: 0.6726, kappa: 0.3443, kb_relative_information_score: 191.4676, mean_absolute_error: 0.3798, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.6733, predictive_accuracy: 0.6724, prior_entropy: 0.9981, recall: 0.6724, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4802, root_relative_squared_error: 0.9618, scimark_benchmark: 1336.0954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.7526, kappa: 0.5039, kb_relative_information_score: 291.5341, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7526, predictive_accuracy: 0.7526, prior_entropy: 0.9981, recall: 0.7526, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8194, scimark_benchmark: 1274.7011,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.7278, kappa: 0.455, kb_relative_information_score: 231.9697, mean_absolute_error: 0.3588, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7287, predictive_accuracy: 0.7276, prior_entropy: 0.9981, recall: 0.7276, relative_absolute_error: 0.7195, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.8617, scimark_benchmark: 1322.0065, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.7094, kappa: 0.4191, kb_relative_information_score: 229.0599, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4987, number_of_instances: 760, precision: 0.7116, predictive_accuracy: 0.7092, prior_entropy: 0.9981, recall: 0.7092, relative_absolute_error: 0.7132, root_mean_prior_squared_error: 0.4993, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8837, scimark_benchmark: 1339.2472,

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