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Supervised Classification on mfeat-zernike

Supervised Classification on mfeat-zernike

Task 1786 Supervised Classification mfeat-zernike 305 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.6045, kappa: 0.5631, kb_relative_information_score: 6122.8963, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6028, predictive_accuracy: 0.6068, prior_entropy: 3.3219, recall: 0.6068, relative_absolute_error: 0.4602, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.8423, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.6401, kappa: 0.6053, kb_relative_information_score: 6179.4898, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6412, predictive_accuracy: 0.6448, prior_entropy: 3.3219, recall: 0.6448, relative_absolute_error: 0.5229, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.7192, scimark_benchmark: 851.2074, usercpu_time_millis: 4930, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6813, f_measure: 0.4144, kappa: 0.3626, kb_relative_information_score: 4000.4893, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.5182, predictive_accuracy: 0.4263, prior_entropy: 3.3219, recall: 0.4263, relative_absolute_error: 0.6374, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3387, root_relative_squared_error: 1.1291, scimark_benchmark: 941.6675, usercpu_time_millis: 8410, usercpu_time_millis_testing: 4770, usercpu_time_millis_training: 3640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.7559, kappa: 0.7291, kb_relative_information_score: 7713.8391, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7563, predictive_accuracy: 0.7562, prior_entropy: 3.3219, recall: 0.7562, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.652, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.7559, kappa: 0.7291, kb_relative_information_score: 7713.8391, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7563, predictive_accuracy: 0.7562, prior_entropy: 3.3219, recall: 0.7562, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.652, scimark_benchmark: 934.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.7196, kappa: 0.6919, kb_relative_information_score: 6998.9726, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7196, predictive_accuracy: 0.7227, prior_entropy: 3.3219, recall: 0.7227, relative_absolute_error: 0.4455, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.6384, scimark_benchmark: 941.6675, usercpu_time_millis: 880, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.7559, kappa: 0.7291, kb_relative_information_score: 7713.8391, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7563, predictive_accuracy: 0.7562, prior_entropy: 3.3219, recall: 0.7562, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.652, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.7743, kappa: 0.7527, kb_relative_information_score: 6968.5938, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7721, predictive_accuracy: 0.7774, prior_entropy: 3.3219, recall: 0.7774, relative_absolute_error: 0.465, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.625, scimark_benchmark: 931.771, usercpu_time_millis: 1730, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 1590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6813, f_measure: 0.4144, kappa: 0.3626, kb_relative_information_score: 4000.4893, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.5182, predictive_accuracy: 0.4263, prior_entropy: 3.3219, recall: 0.4263, relative_absolute_error: 0.6374, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3387, root_relative_squared_error: 1.1291, scimark_benchmark: 937.5117, usercpu_time_millis: 7240, usercpu_time_millis_testing: 4610, usercpu_time_millis_training: 2630,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.6312, kappa: 0.586, kb_relative_information_score: 6006.8431, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6362, predictive_accuracy: 0.6274, prior_entropy: 3.3219, recall: 0.6274, relative_absolute_error: 0.4643, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2411, root_relative_squared_error: 0.8037, scimark_benchmark: 938.5498, usercpu_time_millis: 67520, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 67190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.7743, kappa: 0.7527, kb_relative_information_score: 6968.5938, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7721, predictive_accuracy: 0.7774, prior_entropy: 3.3219, recall: 0.7774, relative_absolute_error: 0.465, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.625, scimark_benchmark: 943.1009, usercpu_time_millis: 1810, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1690,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.6045, kappa: 0.5631, kb_relative_information_score: 6122.8963, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6028, predictive_accuracy: 0.6068, prior_entropy: 3.3219, recall: 0.6068, relative_absolute_error: 0.4602, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.8423, scimark_benchmark: 819.5729, usercpu_time_millis: 160, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.6401, kappa: 0.6053, kb_relative_information_score: 6179.4898, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6412, predictive_accuracy: 0.6448, prior_entropy: 3.3219, recall: 0.6448, relative_absolute_error: 0.5229, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.7192, scimark_benchmark: 936.2574, usercpu_time_millis: 4160, usercpu_time_millis_training: 4160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6813, f_measure: 0.4144, kappa: 0.3626, kb_relative_information_score: 4000.4893, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.5182, predictive_accuracy: 0.4263, prior_entropy: 3.3219, recall: 0.4263, relative_absolute_error: 0.6374, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3387, root_relative_squared_error: 1.1291, scimark_benchmark: 930.404, usercpu_time_millis: 5780, usercpu_time_millis_testing: 2590, usercpu_time_millis_training: 3190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.7559, kappa: 0.7291, kb_relative_information_score: 7713.8391, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7563, predictive_accuracy: 0.7562, prior_entropy: 3.3219, recall: 0.7562, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.652, scimark_benchmark: 938.1282, usercpu_time_millis: 230, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.7559, kappa: 0.7291, kb_relative_information_score: 7713.8391, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7563, predictive_accuracy: 0.7562, prior_entropy: 3.3219, recall: 0.7562, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.652, scimark_benchmark: 903.2737, usercpu_time_millis: 250, usercpu_time_millis_testing: 160, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.7559, kappa: 0.7291, kb_relative_information_score: 7713.8391, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7563, predictive_accuracy: 0.7562, prior_entropy: 3.3219, recall: 0.7562, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.652, scimark_benchmark: 941.4991, usercpu_time_millis: 240, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.7196, kappa: 0.6919, kb_relative_information_score: 6998.9726, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7196, predictive_accuracy: 0.7227, prior_entropy: 3.3219, recall: 0.7227, relative_absolute_error: 0.4455, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.6384, scimark_benchmark: 933.3455, usercpu_time_millis: 960, usercpu_time_millis_training: 960,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.7559, kappa: 0.7291, kb_relative_information_score: 7713.8391, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7563, predictive_accuracy: 0.7562, prior_entropy: 3.3219, recall: 0.7562, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.652, scimark_benchmark: 944.0133, usercpu_time_millis: 250, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.6312, kappa: 0.586, kb_relative_information_score: 6006.8431, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6362, predictive_accuracy: 0.6274, prior_entropy: 3.3219, recall: 0.6274, relative_absolute_error: 0.4643, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2411, root_relative_squared_error: 0.8037, scimark_benchmark: 936.3213, usercpu_time_millis: 54380, usercpu_time_millis_testing: 340, usercpu_time_millis_training: 54040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.7743, kappa: 0.7527, kb_relative_information_score: 6968.5938, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7721, predictive_accuracy: 0.7774, prior_entropy: 3.3219, recall: 0.7774, relative_absolute_error: 0.465, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.625, scimark_benchmark: 936.9595, usercpu_time_millis: 1840, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 1730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.7975, kappa: 0.7804, kb_relative_information_score: 7686.2315, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7939, predictive_accuracy: 0.8024, prior_entropy: 3.3219, recall: 0.8024, relative_absolute_error: 0.3782, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1632, root_relative_squared_error: 0.5441, scimark_benchmark: 936.2727, usercpu_time_millis: 85930, usercpu_time_millis_testing: 21760, usercpu_time_millis_training: 64170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.7999, kappa: 0.7833, kb_relative_information_score: 7680.2828, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7958, predictive_accuracy: 0.805, prior_entropy: 3.3219, recall: 0.805, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.5458, scimark_benchmark: 935.2002, usercpu_time_millis: 44270, usercpu_time_millis_testing: 11880, usercpu_time_millis_training: 32390,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.7978, kappa: 0.78, kb_relative_information_score: 7661.3697, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7944, predictive_accuracy: 0.802, prior_entropy: 3.3219, recall: 0.802, relative_absolute_error: 0.3804, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.165, root_relative_squared_error: 0.55, scimark_benchmark: 917.2109, usercpu_time_millis: 20780, usercpu_time_millis_testing: 4940, usercpu_time_millis_training: 15840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.7869, kappa: 0.769, kb_relative_information_score: 7632.8434, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.783, predictive_accuracy: 0.7921, prior_entropy: 3.3219, recall: 0.7921, relative_absolute_error: 0.3805, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.5583, scimark_benchmark: 911.2316, usercpu_time_millis: 9740, usercpu_time_millis_testing: 1170, usercpu_time_millis_training: 8570,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.783, kappa: 0.7634, kb_relative_information_score: 7627.2941, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7798, predictive_accuracy: 0.7871, prior_entropy: 3.3219, recall: 0.7871, relative_absolute_error: 0.3765, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.5683, scimark_benchmark: 889.4922, usercpu_time_millis: 5820, usercpu_time_millis_testing: 530, usercpu_time_millis_training: 5290,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 929.0296, usercpu_time_millis: 290, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6759, f_measure: 0.1152, kappa: 0.1049, kb_relative_information_score: 1884.4469, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.0961, predictive_accuracy: 0.1944, prior_entropy: 3.3219, recall: 0.1944, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.291, root_relative_squared_error: 0.97, scimark_benchmark: 938.3115, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6759, f_measure: 0.1152, kappa: 0.1049, kb_relative_information_score: 1884.4469, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.0961, predictive_accuracy: 0.1944, prior_entropy: 3.3219, recall: 0.1944, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.291, root_relative_squared_error: 0.97, scimark_benchmark: 936.1714, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6759, f_measure: 0.1152, kappa: 0.1049, kb_relative_information_score: 1884.4469, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.0961, predictive_accuracy: 0.1944, prior_entropy: 3.3219, recall: 0.1944, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.291, root_relative_squared_error: 0.97, scimark_benchmark: 938.3115, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6759, f_measure: 0.1152, kappa: 0.1049, kb_relative_information_score: 1884.4469, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.0961, predictive_accuracy: 0.1944, prior_entropy: 3.3219, recall: 0.1944, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.291, root_relative_squared_error: 0.97, scimark_benchmark: 935.6052, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6759, f_measure: 0.1152, kappa: 0.1049, kb_relative_information_score: 1884.4469, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.0961, predictive_accuracy: 0.1944, prior_entropy: 3.3219, recall: 0.1944, relative_absolute_error: 0.9393, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.291, root_relative_squared_error: 0.97, scimark_benchmark: 935.6052, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, kb_relative_information_score: 588.1826, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.4142, scimark_benchmark: 941.9549, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.7715, kappa: 0.7484, kb_relative_information_score: 7436.4301, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7702, predictive_accuracy: 0.7736, prior_entropy: 3.3219, recall: 0.7736, relative_absolute_error: 0.403, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.176, root_relative_squared_error: 0.5868, scimark_benchmark: 926.5859, usercpu_time_millis: 4380, usercpu_time_millis_testing: 240, usercpu_time_millis_training: 4140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.7492, kappa: 0.7248, kb_relative_information_score: 7025.8057, mean_absolute_error: 0.0796, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7488, predictive_accuracy: 0.7523, prior_entropy: 3.3219, recall: 0.7523, relative_absolute_error: 0.4421, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.6216, scimark_benchmark: 924.4107, usercpu_time_millis: 25040, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 24970,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.7559, kappa: 0.7291, kb_relative_information_score: 7713.8391, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7563, predictive_accuracy: 0.7562, prior_entropy: 3.3219, recall: 0.7562, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.652, scimark_benchmark: 1316.5668, usercpu_time_millis: 190, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.7559, kappa: 0.7291, kb_relative_information_score: 7713.8391, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7563, predictive_accuracy: 0.7562, prior_entropy: 3.3219, recall: 0.7562, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.652, scimark_benchmark: 1354.5533, usercpu_time_millis: 200, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.6045, kappa: 0.5631, kb_relative_information_score: 6122.8963, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6028, predictive_accuracy: 0.6068, prior_entropy: 3.3219, recall: 0.6068, relative_absolute_error: 0.4602, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.8423, scimark_benchmark: 1306.9281, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.6045, kappa: 0.5631, kb_relative_information_score: 6122.8963, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6028, predictive_accuracy: 0.6068, prior_entropy: 3.3219, recall: 0.6068, relative_absolute_error: 0.4602, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.8423, scimark_benchmark: 1345.6844, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.7053, kappa: 0.6731, kb_relative_information_score: 7195.5588, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.707, predictive_accuracy: 0.7058, prior_entropy: 3.3219, recall: 0.7058, relative_absolute_error: 0.3329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.7254, scimark_benchmark: 1319.4538, usercpu_time_millis: 130, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.7559, kappa: 0.7291, kb_relative_information_score: 7713.8391, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7563, predictive_accuracy: 0.7562, prior_entropy: 3.3219, recall: 0.7562, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.652, scimark_benchmark: 1337.1928, usercpu_time_millis: 170, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.7559, kappa: 0.7291, kb_relative_information_score: 7713.8391, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7563, predictive_accuracy: 0.7562, prior_entropy: 3.3219, recall: 0.7562, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.652, scimark_benchmark: 1333.0982, usercpu_time_millis: 190, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.7559, kappa: 0.7291, kb_relative_information_score: 7713.8391, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7563, predictive_accuracy: 0.7562, prior_entropy: 3.3219, recall: 0.7562, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.652, scimark_benchmark: 1318.4315, usercpu_time_millis: 170, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.6312, kappa: 0.586, kb_relative_information_score: 6006.8431, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6362, predictive_accuracy: 0.6274, prior_entropy: 3.3219, recall: 0.6274, relative_absolute_error: 0.4643, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2411, root_relative_squared_error: 0.8037, scimark_benchmark: 1311.5017, usercpu_time_millis: 71950, usercpu_time_millis_testing: 1100, usercpu_time_millis_training: 70850,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.7743, kappa: 0.7527, kb_relative_information_score: 6968.5938, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7721, predictive_accuracy: 0.7774, prior_entropy: 3.3219, recall: 0.7774, relative_absolute_error: 0.465, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.625, scimark_benchmark: 1310.6554, usercpu_time_millis: 1700, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 1590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.8146, kappa: 0.7957, kb_relative_information_score: 8398.5463, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8136, predictive_accuracy: 0.8161, prior_entropy: 3.3219, recall: 0.8161, relative_absolute_error: 0.2009, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1696, root_relative_squared_error: 0.5652, scimark_benchmark: 1256.2802, usercpu_time_millis: 2650, usercpu_time_millis_testing: 720, usercpu_time_millis_training: 1930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, f_measure: 0.686, kappa: 0.6563, kb_relative_information_score: 7068.1488, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6833, predictive_accuracy: 0.6907, prior_entropy: 3.3219, recall: 0.6907, relative_absolute_error: 0.3525, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2261, root_relative_squared_error: 0.7536, scimark_benchmark: 1331.0047, usercpu_time_millis: 420, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 410,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.6401, kappa: 0.6053, kb_relative_information_score: 6179.4898, mean_absolute_error: 0.0941, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6412, predictive_accuracy: 0.6448, prior_entropy: 3.3219, recall: 0.6448, relative_absolute_error: 0.5229, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.7192, scimark_benchmark: 1253.0071, usercpu_time_millis: 3520, usercpu_time_millis_training: 3520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8325, f_measure: 0.6045, kappa: 0.5631, kb_relative_information_score: 6122.8963, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6028, predictive_accuracy: 0.6068, prior_entropy: 3.3219, recall: 0.6068, relative_absolute_error: 0.4602, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2527, root_relative_squared_error: 0.8423, scimark_benchmark: 1313.8988, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6813, f_measure: 0.4144, kappa: 0.3626, kb_relative_information_score: 4000.4893, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.5182, predictive_accuracy: 0.4263, prior_entropy: 3.3219, recall: 0.4263, relative_absolute_error: 0.6374, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3387, root_relative_squared_error: 1.1291, scimark_benchmark: 1322.7257, usercpu_time_millis: 8870, usercpu_time_millis_testing: 4320, usercpu_time_millis_training: 4550,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.6312, kappa: 0.586, kb_relative_information_score: 6006.8431, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6362, predictive_accuracy: 0.6274, prior_entropy: 3.3219, recall: 0.6274, relative_absolute_error: 0.4643, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2411, root_relative_squared_error: 0.8037, scimark_benchmark: 1325.1482, usercpu_time_millis: 72590, usercpu_time_millis_testing: 1100, usercpu_time_millis_training: 71490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.76, kappa: 0.7338, kb_relative_information_score: 7726.1368, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7601, predictive_accuracy: 0.7604, prior_entropy: 3.3219, recall: 0.7604, relative_absolute_error: 0.2743, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1955, root_relative_squared_error: 0.6516, scimark_benchmark: 1385.8862, usercpu_time_millis: 13020, usercpu_time_millis_testing: 11500, usercpu_time_millis_training: 1520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6813, f_measure: 0.4144, kappa: 0.3626, kb_relative_information_score: 4000.4893, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.5182, predictive_accuracy: 0.4263, prior_entropy: 3.3219, recall: 0.4263, relative_absolute_error: 0.6374, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3387, root_relative_squared_error: 1.1291, scimark_benchmark: 1393.8432, usercpu_time_millis: 8370, usercpu_time_millis_testing: 4330, usercpu_time_millis_training: 4040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.7053, kappa: 0.6731, kb_relative_information_score: 7195.5588, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.707, predictive_accuracy: 0.7058, prior_entropy: 3.3219, recall: 0.7058, relative_absolute_error: 0.3329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.7254, scimark_benchmark: 1354.3488, usercpu_time_millis: 120, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.7196, kappa: 0.6919, kb_relative_information_score: 6998.9726, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7196, predictive_accuracy: 0.7227, prior_entropy: 3.3219, recall: 0.7227, relative_absolute_error: 0.4455, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.6384, scimark_benchmark: 1347.993, usercpu_time_millis: 850, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 840,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.7559, kappa: 0.7291, kb_relative_information_score: 7713.8391, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7563, predictive_accuracy: 0.7562, prior_entropy: 3.3219, recall: 0.7562, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.652, scimark_benchmark: 1354.3488, usercpu_time_millis: 180, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.6312, kappa: 0.586, kb_relative_information_score: 6006.8431, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6362, predictive_accuracy: 0.6274, prior_entropy: 3.3219, recall: 0.6274, relative_absolute_error: 0.4643, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2411, root_relative_squared_error: 0.8037, scimark_benchmark: 1281.7531, usercpu_time_millis: 77290, usercpu_time_millis_testing: 1120, usercpu_time_millis_training: 76170,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.7053, kappa: 0.6731, kb_relative_information_score: 7195.5588, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.707, predictive_accuracy: 0.7058, prior_entropy: 3.3219, recall: 0.7058, relative_absolute_error: 0.3329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.7254, scimark_benchmark: 938.0414, usercpu_time_millis: 150, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.882, f_measure: 0.6312, kappa: 0.586, kb_relative_information_score: 6006.8431, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6362, predictive_accuracy: 0.6274, prior_entropy: 3.3219, recall: 0.6274, relative_absolute_error: 0.4643, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2411, root_relative_squared_error: 0.8037, scimark_benchmark: 940.3347, usercpu_time_millis: 55190, usercpu_time_millis_testing: 330, usercpu_time_millis_training: 54860,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.7743, kappa: 0.7527, kb_relative_information_score: 6968.5938, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7721, predictive_accuracy: 0.7774, prior_entropy: 3.3219, recall: 0.7774, relative_absolute_error: 0.465, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.625, scimark_benchmark: 1322.7257, usercpu_time_millis: 1590, usercpu_time_millis_testing: 120, usercpu_time_millis_training: 1470,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6813, f_measure: 0.4144, kappa: 0.3626, kb_relative_information_score: 4000.4893, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.5182, predictive_accuracy: 0.4263, prior_entropy: 3.3219, recall: 0.4263, relative_absolute_error: 0.6374, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3387, root_relative_squared_error: 1.1291, scimark_benchmark: 918.0213, usercpu_time_millis: 5250, usercpu_time_millis_testing: 1940, usercpu_time_millis_training: 3310,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.7053, kappa: 0.6731, kb_relative_information_score: 7195.5588, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.707, predictive_accuracy: 0.7058, prior_entropy: 3.3219, recall: 0.7058, relative_absolute_error: 0.3329, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2176, root_relative_squared_error: 0.7254, scimark_benchmark: 938.0414, usercpu_time_millis: 150, usercpu_time_millis_testing: 60, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.7559, kappa: 0.7291, kb_relative_information_score: 7713.8391, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7563, predictive_accuracy: 0.7562, prior_entropy: 3.3219, recall: 0.7562, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.652, scimark_benchmark: 918.0213, usercpu_time_millis: 260, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 110,

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