OpenML
Supervised Classification on analcatdata_apnea3

Supervised Classification on analcatdata_apnea3

Task 4335 Supervised Classification analcatdata_apnea3 214 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.8932, kappa: 0.4647, kb_relative_information_score: 1121.9183, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.8908, predictive_accuracy: 0.9022, prior_entropy: 0.5405, recall: 0.9022, relative_absolute_error: 0.5696, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2565, root_relative_squared_error: 0.783, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.9029, kappa: 0.5194, kb_relative_information_score: 164.8005, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.9009, predictive_accuracy: 0.9096, prior_entropy: 0.5405, recall: 0.9096, relative_absolute_error: 0.7822, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.7641, scimark_benchmark: 972.587, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.9151, kappa: 0.5874, kb_relative_information_score: 1989.5503, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.9133, predictive_accuracy: 0.9189, prior_entropy: 0.5405, recall: 0.9189, relative_absolute_error: 0.5212, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.7078, scimark_benchmark: 934.3687, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8206, kb_relative_information_score: 1200.4717, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.7705, predictive_accuracy: 0.8778, prior_entropy: 0.5405, recall: 0.8778, relative_absolute_error: 0.5663, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.3496, root_relative_squared_error: 1.0673, scimark_benchmark: 944.1067, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8206, kb_relative_information_score: 1200.4717, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.7705, predictive_accuracy: 0.8778, prior_entropy: 0.5405, recall: 0.8778, relative_absolute_error: 0.5663, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.3496, root_relative_squared_error: 1.0673, scimark_benchmark: 916.0735, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.891, kappa: 0.4708, kb_relative_information_score: 1983.8664, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.8879, predictive_accuracy: 0.8958, prior_entropy: 0.5405, recall: 0.8958, relative_absolute_error: 0.5132, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.229, root_relative_squared_error: 0.6992, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.9085, kappa: 0.5543, kb_relative_information_score: 2081.7552, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.9064, predictive_accuracy: 0.9129, prior_entropy: 0.5405, recall: 0.9129, relative_absolute_error: 0.4645, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.7075, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.9129, kappa: 0.5776, kb_relative_information_score: 1959.4865, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.9111, predictive_accuracy: 0.9167, prior_entropy: 0.5405, recall: 0.9167, relative_absolute_error: 0.5123, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.6963, scimark_benchmark: 936.8075, usercpu_time_millis: 1430, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8913, kappa: 0.4444, kb_relative_information_score: 1605.9827, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.8911, predictive_accuracy: 0.9036, prior_entropy: 0.5405, recall: 0.9036, relative_absolute_error: 0.5868, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2456, root_relative_squared_error: 0.7499, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8206, kb_relative_information_score: 1200.4717, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.7705, predictive_accuracy: 0.8778, prior_entropy: 0.5405, recall: 0.8778, relative_absolute_error: 0.5663, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.3496, root_relative_squared_error: 1.0673, scimark_benchmark: 941.3847, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8206, kb_relative_information_score: 1200.4717, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.7705, predictive_accuracy: 0.8778, prior_entropy: 0.5405, recall: 0.8778, relative_absolute_error: 0.5663, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.3496, root_relative_squared_error: 1.0673, scimark_benchmark: 941.3847, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.891, kappa: 0.4708, kb_relative_information_score: 1983.8664, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.8879, predictive_accuracy: 0.8958, prior_entropy: 0.5405, recall: 0.8958, relative_absolute_error: 0.5132, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.229, root_relative_squared_error: 0.6992, scimark_benchmark: 941.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.9049, kappa: 0.5442, kb_relative_information_score: 1827.2073, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.9029, predictive_accuracy: 0.9078, prior_entropy: 0.5405, recall: 0.9078, relative_absolute_error: 0.4688, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.799, scimark_benchmark: 947.1781, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.8932, kappa: 0.4647, kb_relative_information_score: 1121.9183, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.8908, predictive_accuracy: 0.9022, prior_entropy: 0.5405, recall: 0.9022, relative_absolute_error: 0.5696, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2565, root_relative_squared_error: 0.783, scimark_benchmark: 942.2392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9106, f_measure: 0.9029, kappa: 0.5194, kb_relative_information_score: 164.8005, mean_absolute_error: 0.1688, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.9009, predictive_accuracy: 0.9096, prior_entropy: 0.5405, recall: 0.9096, relative_absolute_error: 0.7822, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.7641, scimark_benchmark: 908.9569, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9008, f_measure: 0.9151, kappa: 0.5874, kb_relative_information_score: 1989.5503, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.9133, predictive_accuracy: 0.9189, prior_entropy: 0.5405, recall: 0.9189, relative_absolute_error: 0.5212, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2318, root_relative_squared_error: 0.7078, scimark_benchmark: 936.2574, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8206, kb_relative_information_score: 1200.4717, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.7705, predictive_accuracy: 0.8778, prior_entropy: 0.5405, recall: 0.8778, relative_absolute_error: 0.5663, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.3496, root_relative_squared_error: 1.0673, scimark_benchmark: 927.2882, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8206, kb_relative_information_score: 1200.4717, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.7705, predictive_accuracy: 0.8778, prior_entropy: 0.5405, recall: 0.8778, relative_absolute_error: 0.5663, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.3496, root_relative_squared_error: 1.0673, scimark_benchmark: 934.5964, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.891, kappa: 0.4708, kb_relative_information_score: 1983.8664, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.8879, predictive_accuracy: 0.8958, prior_entropy: 0.5405, recall: 0.8958, relative_absolute_error: 0.5132, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.229, root_relative_squared_error: 0.6992, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.891, kappa: 0.4708, kb_relative_information_score: 1983.8664, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.8879, predictive_accuracy: 0.8958, prior_entropy: 0.5405, recall: 0.8958, relative_absolute_error: 0.5132, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.229, root_relative_squared_error: 0.6992, scimark_benchmark: 903.2737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.891, kappa: 0.4708, kb_relative_information_score: 1983.8664, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.8879, predictive_accuracy: 0.8958, prior_entropy: 0.5405, recall: 0.8958, relative_absolute_error: 0.5132, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.229, root_relative_squared_error: 0.6992, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.9085, kappa: 0.5543, kb_relative_information_score: 2081.7552, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.9064, predictive_accuracy: 0.9129, prior_entropy: 0.5405, recall: 0.9129, relative_absolute_error: 0.4645, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2317, root_relative_squared_error: 0.7075, scimark_benchmark: 930.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, f_measure: 0.891, kappa: 0.4708, kb_relative_information_score: 1983.8664, mean_absolute_error: 0.1108, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.8879, predictive_accuracy: 0.8958, prior_entropy: 0.5405, recall: 0.8958, relative_absolute_error: 0.5132, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.229, root_relative_squared_error: 0.6992, scimark_benchmark: 945.6228, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8913, kappa: 0.4444, kb_relative_information_score: 1605.9827, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.8911, predictive_accuracy: 0.9036, prior_entropy: 0.5405, recall: 0.9036, relative_absolute_error: 0.5868, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2456, root_relative_squared_error: 0.7499, scimark_benchmark: 932.438, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.9049, kappa: 0.5442, kb_relative_information_score: 1827.2073, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.9029, predictive_accuracy: 0.9078, prior_entropy: 0.5405, recall: 0.9078, relative_absolute_error: 0.4688, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.799, scimark_benchmark: 901.4991, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.9076, kappa: 0.5387, kb_relative_information_score: 1828.2518, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.9067, predictive_accuracy: 0.9149, prior_entropy: 0.5405, recall: 0.9149, relative_absolute_error: 0.5482, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.7404, scimark_benchmark: 943.6618, usercpu_time_millis: 970, usercpu_time_millis_testing: 230, usercpu_time_millis_training: 740,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.9062, kappa: 0.5333, kb_relative_information_score: 1832.6287, mean_absolute_error: 0.1182, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.9049, predictive_accuracy: 0.9133, prior_entropy: 0.5405, recall: 0.9133, relative_absolute_error: 0.5476, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.7407, scimark_benchmark: 933.3455, usercpu_time_millis: 460, usercpu_time_millis_testing: 110, usercpu_time_millis_training: 350,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, f_measure: 0.9063, kappa: 0.5323, kb_relative_information_score: 1822.2715, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.9053, predictive_accuracy: 0.9138, prior_entropy: 0.5405, recall: 0.9138, relative_absolute_error: 0.549, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.7415, scimark_benchmark: 929.7512, usercpu_time_millis: 240, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.9069, kappa: 0.5355, kb_relative_information_score: 1819.3312, mean_absolute_error: 0.1184, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.9059, predictive_accuracy: 0.9142, prior_entropy: 0.5405, recall: 0.9142, relative_absolute_error: 0.5488, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2432, root_relative_squared_error: 0.7426, scimark_benchmark: 938.8535, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.9073, kappa: 0.5406, kb_relative_information_score: 1796.7087, mean_absolute_error: 0.1179, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.9058, predictive_accuracy: 0.9138, prior_entropy: 0.5405, recall: 0.9138, relative_absolute_error: 0.5465, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.246, root_relative_squared_error: 0.7511, scimark_benchmark: 931.6751, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8901, kappa: 0.4342, kb_relative_information_score: 1082.0165, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.8913, predictive_accuracy: 0.9038, prior_entropy: 0.5405, recall: 0.9038, relative_absolute_error: 0.6228, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.26, root_relative_squared_error: 0.7937, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8901, kappa: 0.4342, kb_relative_information_score: 1082.0165, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.8913, predictive_accuracy: 0.9038, prior_entropy: 0.5405, recall: 0.9038, relative_absolute_error: 0.6228, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.26, root_relative_squared_error: 0.7937, scimark_benchmark: 889.4922, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8899, kappa: 0.4335, kb_relative_information_score: 1081.9141, mean_absolute_error: 0.1344, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.891, predictive_accuracy: 0.9036, prior_entropy: 0.5405, recall: 0.9036, relative_absolute_error: 0.6229, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.26, root_relative_squared_error: 0.7938, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8894, kappa: 0.4286, kb_relative_information_score: 1069.7924, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.8913, predictive_accuracy: 0.9038, prior_entropy: 0.5405, recall: 0.9038, relative_absolute_error: 0.6269, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2601, root_relative_squared_error: 0.794, scimark_benchmark: 936.1714, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8967, f_measure: 0.8699, kappa: 0.3143, kb_relative_information_score: 922.937, mean_absolute_error: 0.1414, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.8722, predictive_accuracy: 0.8916, prior_entropy: 0.5405, recall: 0.8916, relative_absolute_error: 0.6553, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.8116, scimark_benchmark: 929.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4741, f_measure: 0.8206, kb_relative_information_score: -47.7393, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.7705, predictive_accuracy: 0.8778, prior_entropy: 0.5405, recall: 0.8778, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.3276, root_relative_squared_error: 1.0001, scimark_benchmark: 941.9549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.8503, kappa: 0.1757, kb_relative_information_score: 1699.9755, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.8991, predictive_accuracy: 0.8907, prior_entropy: 0.5405, recall: 0.8907, relative_absolute_error: 0.4966, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.307, root_relative_squared_error: 0.9374, scimark_benchmark: 926.5859, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9061, f_measure: 0.8233, kappa: 0.0159, kb_relative_information_score: 1308.4304, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.8936, predictive_accuracy: 0.8789, prior_entropy: 0.5405, recall: 0.8789, relative_absolute_error: 0.5472, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.3349, root_relative_squared_error: 1.0223, scimark_benchmark: 929.0296, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9039, f_measure: 0.9129, kappa: 0.5776, kb_relative_information_score: 1959.4865, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.2158, number_of_instances: 4500, precision: 0.9111, predictive_accuracy: 0.9167, prior_entropy: 0.5405, recall: 0.9167, relative_absolute_error: 0.5123, root_mean_prior_squared_error: 0.3275, root_mean_squared_error: 0.2281, root_relative_squared_error: 0.6963, scimark_benchmark: 1309.2287, usercpu_time_millis: 790, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 760,
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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