OpenML
Supervised Classification on sonar

Supervised Classification on sonar

Task 1803 Supervised Classification sonar 346 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, build_cpu_time: 0.0074, build_memory: 330984581.6, f_measure: 0.7714, kappa: 0.5419, kb_relative_information_score: 377.4318, mean_absolute_error: 0.3322, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7728, predictive_accuracy: 0.7712, prior_entropy: 0.9968, recall: 0.7712, relative_absolute_error: 0.6674, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3991, root_relative_squared_error: 0.8, scimark_benchmark: 947.4258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, build_cpu_time: 0.0592, build_memory: 2680678990.4, f_measure: 0.7979, kappa: 0.5937, kb_relative_information_score: 375.9647, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8005, predictive_accuracy: 0.799, prior_entropy: 0.9968, recall: 0.799, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.763, scimark_benchmark: 874.7213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, build_cpu_time: 0.0416, build_memory: 2386188743.2, f_measure: 0.7979, kappa: 0.5937, kb_relative_information_score: 375.9647, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8005, predictive_accuracy: 0.799, prior_entropy: 0.9968, recall: 0.799, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3807, root_relative_squared_error: 0.763, scimark_benchmark: 941.3608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, build_cpu_time: 0.088, build_memory: 598425893.6, f_measure: 0.8065, kappa: 0.611, kb_relative_information_score: 377.3999, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8095, predictive_accuracy: 0.8077, prior_entropy: 0.9968, recall: 0.8077, relative_absolute_error: 0.6774, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3792, root_relative_squared_error: 0.7602, scimark_benchmark: 940.4855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8986, build_cpu_time: 2.5922, build_memory: 2802541857.6, f_measure: 0.7963, kappa: 0.5907, kb_relative_information_score: 350.1876, mean_absolute_error: 0.3513, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8015, predictive_accuracy: 0.7981, prior_entropy: 0.9968, recall: 0.7981, relative_absolute_error: 0.7057, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.386, root_relative_squared_error: 0.7737, scimark_benchmark: 941.0306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, build_cpu_time: 1.3973, build_memory: 717971164, f_measure: 0.7944, kappa: 0.5869, kb_relative_information_score: 351.099, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7993, predictive_accuracy: 0.7962, prior_entropy: 0.9968, recall: 0.7962, relative_absolute_error: 0.7047, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7735, scimark_benchmark: 921.2344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, build_cpu_time: 1.3113, build_memory: 573712366.4, f_measure: 0.7944, kappa: 0.5869, kb_relative_information_score: 351.099, mean_absolute_error: 0.3507, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7993, predictive_accuracy: 0.7962, prior_entropy: 0.9968, recall: 0.7962, relative_absolute_error: 0.7047, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3859, root_relative_squared_error: 0.7735, scimark_benchmark: 898.8066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8989, build_cpu_time: 0.7882, build_memory: 2426290538.4, f_measure: 0.7924, kappa: 0.5829, kb_relative_information_score: 351.9329, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7976, predictive_accuracy: 0.7942, prior_entropy: 0.9968, recall: 0.7942, relative_absolute_error: 0.7039, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3854, root_relative_squared_error: 0.7726, scimark_benchmark: 947.2295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8981, build_cpu_time: 0.3536, build_memory: 774580179.2, f_measure: 0.7982, kappa: 0.5946, kb_relative_information_score: 354.1121, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.8035, predictive_accuracy: 0.8, prior_entropy: 0.9968, recall: 0.8, relative_absolute_error: 0.7016, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3853, root_relative_squared_error: 0.7723, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7389, build_cpu_time: 0.0131, build_memory: 956045838.4, f_measure: 0.6838, kappa: 0.3653, kb_relative_information_score: 234.4926, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.6842, predictive_accuracy: 0.6837, prior_entropy: 0.9968, recall: 0.6837, relative_absolute_error: 0.7974, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9144, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7389, build_cpu_time: 0.0129, build_memory: 612398844.8, f_measure: 0.6838, kappa: 0.3653, kb_relative_information_score: 234.4926, mean_absolute_error: 0.3969, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.6842, predictive_accuracy: 0.6837, prior_entropy: 0.9968, recall: 0.6837, relative_absolute_error: 0.7974, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9144, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7555, build_cpu_time: 0.0445, build_memory: 672984874.4, f_measure: 0.7007, kappa: 0.3983, kb_relative_information_score: 232.5808, mean_absolute_error: 0.4, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7006, predictive_accuracy: 0.701, prior_entropy: 0.9968, recall: 0.701, relative_absolute_error: 0.8035, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4479, root_relative_squared_error: 0.8979, scimark_benchmark: 938.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, build_cpu_time: 0.0516, build_memory: 321849364, f_measure: 0.687, kappa: 0.3709, kb_relative_information_score: 218.4452, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.6897, predictive_accuracy: 0.6894, prior_entropy: 0.9968, recall: 0.6894, relative_absolute_error: 0.8176, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4503, root_relative_squared_error: 0.9026, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, build_cpu_time: 0.1834, build_memory: 629432424, f_measure: 0.7899, kappa: 0.5775, kb_relative_information_score: 445.4757, mean_absolute_error: 0.2984, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7904, predictive_accuracy: 0.7904, prior_entropy: 0.9968, recall: 0.7904, relative_absolute_error: 0.5995, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3766, root_relative_squared_error: 0.7549, scimark_benchmark: 934.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, build_cpu_time: 0.2033, build_memory: 637597805.6, f_measure: 0.6871, kappa: 0.379, kb_relative_information_score: 371.3653, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.696, predictive_accuracy: 0.6875, prior_entropy: 0.9968, recall: 0.6875, relative_absolute_error: 0.646, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4871, root_relative_squared_error: 0.9764, scimark_benchmark: 785.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, build_cpu_time: 0.1681, build_memory: 911201048, f_measure: 0.6871, kappa: 0.379, kb_relative_information_score: 371.3653, mean_absolute_error: 0.3216, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.696, predictive_accuracy: 0.6875, prior_entropy: 0.9968, recall: 0.6875, relative_absolute_error: 0.646, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4871, root_relative_squared_error: 0.9764, scimark_benchmark: 932.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, build_cpu_time: 0.0175, build_memory: 211196917.6, f_measure: 0.7653, kappa: 0.5283, kb_relative_information_score: 560.8689, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7699, predictive_accuracy: 0.7673, prior_entropy: 0.9968, recall: 0.7673, relative_absolute_error: 0.4595, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9033, scimark_benchmark: 899.6089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, build_cpu_time: 0.0188, build_memory: 118773968, f_measure: 0.7653, kappa: 0.5283, kb_relative_information_score: 560.8689, mean_absolute_error: 0.2287, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7699, predictive_accuracy: 0.7673, prior_entropy: 0.9968, recall: 0.7673, relative_absolute_error: 0.4595, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4506, root_relative_squared_error: 0.9033, scimark_benchmark: 932.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6742, build_cpu_time: 0.191, build_memory: 96959860.8, f_measure: 0.6738, kappa: 0.3442, kb_relative_information_score: 358.8362, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.6736, predictive_accuracy: 0.674, prior_entropy: 0.9968, recall: 0.674, relative_absolute_error: 0.6534, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5698, root_relative_squared_error: 1.1422, scimark_benchmark: 926.5157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6742, build_cpu_time: 0.1845, build_memory: 130174491.2, f_measure: 0.6738, kappa: 0.3442, kb_relative_information_score: 358.8362, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.6736, predictive_accuracy: 0.674, prior_entropy: 0.9968, recall: 0.674, relative_absolute_error: 0.6534, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5698, root_relative_squared_error: 1.1422, scimark_benchmark: 936.2648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6742, build_cpu_time: 0.1937, build_memory: 196405526.4, f_measure: 0.6738, kappa: 0.3442, kb_relative_information_score: 358.8362, mean_absolute_error: 0.3252, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.6736, predictive_accuracy: 0.674, prior_entropy: 0.9968, recall: 0.674, relative_absolute_error: 0.6534, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5698, root_relative_squared_error: 1.1422, scimark_benchmark: 944.4245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7789, build_cpu_time: 0.0135, build_memory: 329043523.2, f_measure: 0.6815, kappa: 0.3748, kb_relative_information_score: 369.9003, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7003, predictive_accuracy: 0.6837, prior_entropy: 0.9968, recall: 0.6837, relative_absolute_error: 0.6457, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.535, root_relative_squared_error: 1.0724, scimark_benchmark: 939.2194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7789, build_cpu_time: 0.0148, build_memory: 165626148, f_measure: 0.6815, kappa: 0.3748, kb_relative_information_score: 369.9003, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7003, predictive_accuracy: 0.6837, prior_entropy: 0.9968, recall: 0.6837, relative_absolute_error: 0.6457, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.535, root_relative_squared_error: 1.0724, scimark_benchmark: 929.8459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, build_cpu_time: 187.6445, build_memory: 872108835.2, f_measure: 0.7739, kappa: 0.5455, kb_relative_information_score: 505.028, mean_absolute_error: 0.2622, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7739, predictive_accuracy: 0.774, prior_entropy: 0.9968, recall: 0.774, relative_absolute_error: 0.5268, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8177, scimark_benchmark: 915.2996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, build_cpu_time: 487.5085, build_memory: 636032417.6, f_measure: 0.7777, kappa: 0.5531, kb_relative_information_score: 506.7007, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7777, predictive_accuracy: 0.7779, prior_entropy: 0.9968, recall: 0.7779, relative_absolute_error: 0.5258, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.815, scimark_benchmark: 1212.2248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, build_cpu_time: 0.0239, build_memory: 662264530.4, f_measure: 0.744, kappa: 0.4856, kb_relative_information_score: 310.306, mean_absolute_error: 0.367, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.748, predictive_accuracy: 0.7462, prior_entropy: 0.9968, recall: 0.7462, relative_absolute_error: 0.7373, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8357, scimark_benchmark: 1225.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8215, build_cpu_time: 0.0086, build_memory: 1032043461.6, f_measure: 0.7498, kappa: 0.4973, kb_relative_information_score: 311.8591, mean_absolute_error: 0.3662, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7539, predictive_accuracy: 0.7519, prior_entropy: 0.9968, recall: 0.7519, relative_absolute_error: 0.7357, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4173, root_relative_squared_error: 0.8365, scimark_benchmark: 938.4795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, build_cpu_time: 0.0195, build_memory: 32171380, f_measure: 0.7482, kappa: 0.4938, kb_relative_information_score: 311.7003, mean_absolute_error: 0.3662, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7514, predictive_accuracy: 0.75, prior_entropy: 0.9968, recall: 0.75, relative_absolute_error: 0.7357, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.841, scimark_benchmark: 906.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, build_cpu_time: 0.5248, build_memory: 72920927.2, f_measure: 0.7627, kappa: 0.5228, kb_relative_information_score: 540.2111, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7635, predictive_accuracy: 0.7635, prior_entropy: 0.9968, recall: 0.7635, relative_absolute_error: 0.48, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4813, root_relative_squared_error: 0.9648, scimark_benchmark: 942.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, build_cpu_time: 0.0026, build_memory: 1093734443.2, f_measure: 0.7521, kappa: 0.5017, kb_relative_information_score: 314.6943, mean_absolute_error: 0.3651, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7552, predictive_accuracy: 0.7538, prior_entropy: 0.9968, recall: 0.7538, relative_absolute_error: 0.7336, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4171, root_relative_squared_error: 0.8361, scimark_benchmark: 941.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, build_cpu_time: 0.0018, build_memory: 1030969052, f_measure: 0.7462, kappa: 0.4899, kb_relative_information_score: 310.8419, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7495, predictive_accuracy: 0.7481, prior_entropy: 0.9968, recall: 0.7481, relative_absolute_error: 0.7361, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.8492, scimark_benchmark: 944.3501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, build_cpu_time: 1.5617, build_memory: 119295554.4, f_measure: 0.7551, kappa: 0.5074, kb_relative_information_score: 446.8661, mean_absolute_error: 0.2921, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7557, predictive_accuracy: 0.7558, prior_entropy: 0.9968, recall: 0.7558, relative_absolute_error: 0.5868, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8252, scimark_benchmark: 938.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, build_cpu_time: 3.0992, build_memory: 1017499530.4, f_measure: 0.7627, kappa: 0.5228, kb_relative_information_score: 448.5004, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7635, predictive_accuracy: 0.7635, prior_entropy: 0.9968, recall: 0.7635, relative_absolute_error: 0.5866, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.8153, scimark_benchmark: 941.6914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, build_cpu_time: 5.4199, build_memory: 35354520.8, f_measure: 0.7579, kappa: 0.513, kb_relative_information_score: 445.1176, mean_absolute_error: 0.2937, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7587, predictive_accuracy: 0.7587, prior_entropy: 0.9968, recall: 0.7587, relative_absolute_error: 0.5901, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8166, scimark_benchmark: 941.5509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8416, build_cpu_time: 10.9391, build_memory: 148846409.6, f_measure: 0.7588, kappa: 0.5148, kb_relative_information_score: 444.0452, mean_absolute_error: 0.2943, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7597, predictive_accuracy: 0.7596, prior_entropy: 0.9968, recall: 0.7596, relative_absolute_error: 0.5913, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.8151, scimark_benchmark: 945.0883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8417, build_cpu_time: 21.2953, build_memory: 993726692, f_measure: 0.7598, kappa: 0.5169, kb_relative_information_score: 442.7671, mean_absolute_error: 0.2952, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7606, predictive_accuracy: 0.7606, prior_entropy: 0.9968, recall: 0.7606, relative_absolute_error: 0.5931, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8148, scimark_benchmark: 945.9825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, build_cpu_time: 1.5507, build_memory: 2206549914.4, f_measure: 0.767, kappa: 0.5315, kb_relative_information_score: 515.6283, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7671, predictive_accuracy: 0.7673, prior_entropy: 0.9968, recall: 0.7673, relative_absolute_error: 0.5132, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8496, scimark_benchmark: 946.2416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, build_cpu_time: 0.8369, build_memory: 1196948912.8, f_measure: 0.7669, kappa: 0.5313, kb_relative_information_score: 515.2562, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7671, predictive_accuracy: 0.7673, prior_entropy: 0.9968, recall: 0.7673, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4246, root_relative_squared_error: 0.8511, scimark_benchmark: 935.2997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, build_cpu_time: 0.4312, build_memory: 301959704, f_measure: 0.765, kappa: 0.5274, kb_relative_information_score: 510.8185, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7652, predictive_accuracy: 0.7654, prior_entropy: 0.9968, recall: 0.7654, relative_absolute_error: 0.5181, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4258, root_relative_squared_error: 0.8534, scimark_benchmark: 943.8925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, build_cpu_time: 0.2871, build_memory: 533038759.2, f_measure: 0.7642, kappa: 0.5259, kb_relative_information_score: 507.5776, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7642, predictive_accuracy: 0.7644, prior_entropy: 0.9968, recall: 0.7644, relative_absolute_error: 0.5212, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8558, scimark_benchmark: 944.0386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, build_cpu_time: 0.7634, build_memory: 2474838448.8, f_measure: 0.7665, kappa: 0.5307, kb_relative_information_score: 389.2314, mean_absolute_error: 0.328, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7702, predictive_accuracy: 0.7683, prior_entropy: 0.9968, recall: 0.7683, relative_absolute_error: 0.659, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.39, root_relative_squared_error: 0.7819, scimark_benchmark: 944.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, build_cpu_time: 1.5891, build_memory: 1002514265.6, f_measure: 0.7656, kappa: 0.5288, kb_relative_information_score: 388.3852, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7691, predictive_accuracy: 0.7673, prior_entropy: 0.9968, recall: 0.7673, relative_absolute_error: 0.6601, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7816, scimark_benchmark: 947.2189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, build_cpu_time: 0.6695, build_memory: 82657960.8, f_measure: 0.746, kappa: 0.4891, kb_relative_information_score: 368.4047, mean_absolute_error: 0.3366, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7474, predictive_accuracy: 0.7471, prior_entropy: 0.9968, recall: 0.7471, relative_absolute_error: 0.6762, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4008, root_relative_squared_error: 0.8033, scimark_benchmark: 945.7423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, build_cpu_time: 0.3357, build_memory: 991306629.6, f_measure: 0.7494, kappa: 0.4962, kb_relative_information_score: 371.6662, mean_absolute_error: 0.3344, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7519, predictive_accuracy: 0.751, prior_entropy: 0.9968, recall: 0.751, relative_absolute_error: 0.6718, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4012, root_relative_squared_error: 0.8043, scimark_benchmark: 922.2174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, build_cpu_time: 0.2117, build_memory: 2217283439.2, f_measure: 0.7531, kappa: 0.5037, kb_relative_information_score: 373.8209, mean_absolute_error: 0.3333, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7561, predictive_accuracy: 0.7548, prior_entropy: 0.9968, recall: 0.7548, relative_absolute_error: 0.6696, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8068, scimark_benchmark: 926.8346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, build_cpu_time: 0.1039, build_memory: 136111209.6, f_measure: 0.7584, kappa: 0.5141, kb_relative_information_score: 377.462, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.4978, number_of_instances: 1040, precision: 0.7602, predictive_accuracy: 0.7596, prior_entropy: 0.9968, recall: 0.7596, relative_absolute_error: 0.6642, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8113, scimark_benchmark: 934.9224,

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