OpenML
Supervised Classification on sonar

Supervised Classification on sonar

Task 39 Supervised Classification sonar 915 runs submitted
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  • basic mythbusting mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_29 study_30 study_41 study_50 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3714, kb_relative_information_score: 12.7373, mean_absolute_error: 0.4663, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 0.9369, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6829, root_relative_squared_error: 1.3689, scimark_benchmark: 929.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.7256, kappa: 0.4484, kb_relative_information_score: 82.862, mean_absolute_error: 0.3072, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7256, predictive_accuracy: 0.726, prior_entropy: 0.9968, recall: 0.726, relative_absolute_error: 0.6172, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.8545, scimark_benchmark: 929.0255, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4852, f_measure: 0.3714, kb_relative_information_score: -0.0408, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0001, scimark_benchmark: 938.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8223, kappa: 0.6433, kb_relative_information_score: 96.9473, mean_absolute_error: 0.2813, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8227, predictive_accuracy: 0.8221, prior_entropy: 0.9968, recall: 0.8221, relative_absolute_error: 0.565, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7223, scimark_benchmark: 930.32, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7224, f_measure: 0.6781, kappa: 0.3574, kb_relative_information_score: 78.2148, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6822, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.6226, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5492, root_relative_squared_error: 1.1009, scimark_benchmark: 910.8389, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.837, f_measure: 0.7493, kappa: 0.4958, kb_relative_information_score: 97.2554, mean_absolute_error: 0.2691, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7499, predictive_accuracy: 0.75, prior_entropy: 0.9968, recall: 0.75, relative_absolute_error: 0.5407, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4227, root_relative_squared_error: 0.8474, scimark_benchmark: 934.5243, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.7772, kappa: 0.5522, kb_relative_information_score: 102.7145, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7809, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8066, scimark_benchmark: 933.8635, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8841, f_measure: 0.8315, kappa: 0.6613, kb_relative_information_score: 138.5249, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8317, predictive_accuracy: 0.8317, prior_entropy: 0.9968, recall: 0.8317, relative_absolute_error: 0.3329, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.76, scimark_benchmark: 938.2848, usercpu_time_millis: 13980, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 13970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.891, build_cpu_time: 0.3345, build_memory: 149802956.2308, f_measure: 0.851, kappa: 0.7008, kb_relative_information_score: 144.8655, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8511, predictive_accuracy: 0.851, prior_entropy: 0.9968, recall: 0.851, relative_absolute_error: 0.3044, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7482, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, build_cpu_time: 0.6106, build_memory: 850551323.1154, f_measure: 0.8306, kappa: 0.6595, kb_relative_information_score: 137.4108, mean_absolute_error: 0.169, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8343, predictive_accuracy: 0.8317, prior_entropy: 0.9968, recall: 0.8317, relative_absolute_error: 0.3395, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.7954, scimark_benchmark: 923.9118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9029, build_cpu_time: 0.9838, build_memory: 738836673.8462, f_measure: 0.8347, kappa: 0.6681, kb_relative_information_score: 138.4877, mean_absolute_error: 0.1659, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8431, predictive_accuracy: 0.8365, prior_entropy: 0.9968, recall: 0.8365, relative_absolute_error: 0.3332, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.7969, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, build_cpu_time: 0.2921, build_memory: 468693426.1923, f_measure: 0.8074, kappa: 0.6126, kb_relative_information_score: 123.0247, mean_absolute_error: 0.2042, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8076, predictive_accuracy: 0.8077, prior_entropy: 0.9968, recall: 0.8077, relative_absolute_error: 0.4102, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8343, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.868, build_cpu_time: 1.4498, build_memory: 130392881.1154, f_measure: 0.826, kappa: 0.65, kb_relative_information_score: 136.5494, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8289, predictive_accuracy: 0.8269, prior_entropy: 0.9968, recall: 0.8269, relative_absolute_error: 0.3419, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.402, root_relative_squared_error: 0.8059, scimark_benchmark: 925.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, build_cpu_time: 0.1668, build_memory: 233256347.0385, f_measure: 0.7883, kappa: 0.5744, kb_relative_information_score: 116.8755, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7883, predictive_accuracy: 0.7885, prior_entropy: 0.9968, recall: 0.7885, relative_absolute_error: 0.4384, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4484, root_relative_squared_error: 0.8988, scimark_benchmark: 943.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, build_cpu_time: 0.7803, build_memory: 548624270.8462, f_measure: 0.8506, kappa: 0.6996, kb_relative_information_score: 145.443, mean_absolute_error: 0.1495, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8513, predictive_accuracy: 0.851, prior_entropy: 0.9968, recall: 0.851, relative_absolute_error: 0.3004, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7582, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9104, build_cpu_time: 1.8693, build_memory: 691678089.1154, f_measure: 0.85, kappa: 0.6984, kb_relative_information_score: 145.5716, mean_absolute_error: 0.1492, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8539, predictive_accuracy: 0.851, prior_entropy: 0.9968, recall: 0.851, relative_absolute_error: 0.2998, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3791, root_relative_squared_error: 0.7599, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8923, build_cpu_time: 1.8468, build_memory: 945338349.0385, f_measure: 0.8172, kappa: 0.6325, kb_relative_information_score: 132.321, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8172, predictive_accuracy: 0.8173, prior_entropy: 0.9968, recall: 0.8173, relative_absolute_error: 0.3628, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4158, root_relative_squared_error: 0.8336, scimark_benchmark: 923.3659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, build_cpu_time: 15.3279, build_memory: 154966795.2308, f_measure: 0.8743, kappa: 0.7472, kb_relative_information_score: 155.4603, mean_absolute_error: 0.1256, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8777, predictive_accuracy: 0.875, prior_entropy: 0.9968, recall: 0.875, relative_absolute_error: 0.2523, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3528, root_relative_squared_error: 0.7073, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, build_cpu_time: 6.8982, build_memory: 736193460.4615, f_measure: 0.8697, kappa: 0.738, kb_relative_information_score: 153.6055, mean_absolute_error: 0.1299, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8713, predictive_accuracy: 0.8702, prior_entropy: 0.9968, recall: 0.8702, relative_absolute_error: 0.261, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.7105, scimark_benchmark: 937.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8854, build_cpu_time: 3.7997, build_memory: 180525527.5, f_measure: 0.8505, kappa: 0.6992, kb_relative_information_score: 145.6944, mean_absolute_error: 0.1486, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8519, predictive_accuracy: 0.851, prior_entropy: 0.9968, recall: 0.851, relative_absolute_error: 0.2986, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.377, root_relative_squared_error: 0.7557, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, build_cpu_time: 1.9711, build_memory: 1018441771, f_measure: 0.855, kappa: 0.7083, kb_relative_information_score: 147.2028, mean_absolute_error: 0.1452, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8582, predictive_accuracy: 0.8558, prior_entropy: 0.9968, recall: 0.8558, relative_absolute_error: 0.2917, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3744, root_relative_squared_error: 0.7505, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, build_cpu_time: 1.0595, build_memory: 78001255.9615, f_measure: 0.7679, kappa: 0.5333, kb_relative_information_score: 114.1667, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7703, predictive_accuracy: 0.7692, prior_entropy: 0.9968, recall: 0.7692, relative_absolute_error: 0.4482, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.8853, scimark_benchmark: 945.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8477, build_cpu_time: 0.4872, build_memory: 737071598.7692, f_measure: 0.7733, kappa: 0.5439, kb_relative_information_score: 114.353, mean_absolute_error: 0.224, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7743, predictive_accuracy: 0.774, prior_entropy: 0.9968, recall: 0.774, relative_absolute_error: 0.45, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.869, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, build_cpu_time: 0.7359, build_memory: 896567651.1538, f_measure: 0.7641, kappa: 0.5258, kb_relative_information_score: 109.016, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7642, predictive_accuracy: 0.7644, prior_entropy: 0.9968, recall: 0.7644, relative_absolute_error: 0.477, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9149, scimark_benchmark: 940.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, build_cpu_time: 0.6064, build_memory: 1134028358.1154, f_measure: 0.7688, kappa: 0.5352, kb_relative_information_score: 112.4649, mean_absolute_error: 0.2289, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.769, predictive_accuracy: 0.7692, prior_entropy: 0.9968, recall: 0.7692, relative_absolute_error: 0.46, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4454, root_relative_squared_error: 0.8928, scimark_benchmark: 935.1201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, f_measure: 0.6627, kappa: 0.3672, kb_relative_information_score: 81.1754, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.784, predictive_accuracy: 0.6971, prior_entropy: 0.9968, recall: 0.6971, relative_absolute_error: 0.6085, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5504, root_relative_squared_error: 1.1032, scimark_benchmark: 799.2185, usercpu_time_millis: 40, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8936, build_cpu_time: 60.1424, build_memory: 1111778890.0769, f_measure: 0.7919, kappa: 0.5817, kb_relative_information_score: 103.8849, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7951, predictive_accuracy: 0.7933, prior_entropy: 0.9968, recall: 0.7933, relative_absolute_error: 0.5217, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3653, root_relative_squared_error: 0.7323, scimark_benchmark: 943.6824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, build_cpu_time: 1.3644, build_memory: 77238489.8846, f_measure: 0.7861, kappa: 0.5705, kb_relative_information_score: 86.8463, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7933, predictive_accuracy: 0.7885, prior_entropy: 0.9968, recall: 0.7885, relative_absolute_error: 0.6154, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.7435, scimark_benchmark: 946.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, build_cpu_time: 1.3105, build_memory: 811249086.3846, f_measure: 0.7861, kappa: 0.5705, kb_relative_information_score: 86.8463, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7933, predictive_accuracy: 0.7885, prior_entropy: 0.9968, recall: 0.7885, relative_absolute_error: 0.6154, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.7435, scimark_benchmark: 934.5584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8928, build_cpu_time: 1.4039, build_memory: 758067902.9231, f_measure: 0.7861, kappa: 0.5705, kb_relative_information_score: 86.8463, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7933, predictive_accuracy: 0.7885, prior_entropy: 0.9968, recall: 0.7885, relative_absolute_error: 0.6154, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.7435, scimark_benchmark: 944.2982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, build_cpu_time: 1.9547, build_memory: 2415324849.4231, f_measure: 0.8009, kappa: 0.6001, kb_relative_information_score: 90.465, mean_absolute_error: 0.2988, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8075, predictive_accuracy: 0.8029, prior_entropy: 0.9968, recall: 0.8029, relative_absolute_error: 0.6003, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3656, root_relative_squared_error: 0.7329, scimark_benchmark: 940.8317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.728, build_cpu_time: 0.028, build_memory: 562436505.4615, f_measure: 0.6758, kappa: 0.3482, kb_relative_information_score: 46.9838, mean_absolute_error: 0.3952, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6776, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9186, scimark_benchmark: 942.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.728, build_cpu_time: 0.025, build_memory: 939517190.2692, f_measure: 0.6758, kappa: 0.3482, kb_relative_information_score: 46.9838, mean_absolute_error: 0.3952, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6776, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9186, scimark_benchmark: 902.1764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.728, build_cpu_time: 0.0373, build_memory: 402429596.2308, f_measure: 0.6758, kappa: 0.3482, kb_relative_information_score: 46.9838, mean_absolute_error: 0.3952, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6776, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9186, scimark_benchmark: 941.6532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.728, build_cpu_time: 0.0441, build_memory: 854263815.0769, f_measure: 0.6758, kappa: 0.3482, kb_relative_information_score: 46.9838, mean_absolute_error: 0.3952, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6776, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9186, scimark_benchmark: 940.6012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.728, build_cpu_time: 0.0454, build_memory: 1351604547.2308, f_measure: 0.6758, kappa: 0.3482, kb_relative_information_score: 46.9838, mean_absolute_error: 0.3952, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6776, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.7939, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9186, scimark_benchmark: 785.9104,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.686, kappa: 0.3814, kb_relative_information_score: 77.3528, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7017, predictive_accuracy: 0.6875, prior_entropy: 0.9968, recall: 0.6875, relative_absolute_error: 0.6277, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5218, root_relative_squared_error: 1.0459, scimark_benchmark: 1838.8826, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8657, f_measure: 0.8552, kappa: 0.7087, kb_relative_information_score: 146.4656, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8572, predictive_accuracy: 0.8558, prior_entropy: 0.9968, recall: 0.8558, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7573, scimark_benchmark: 1851.1033, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.8453, kappa: 0.6889, kb_relative_information_score: 142.4705, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8484, predictive_accuracy: 0.8462, prior_entropy: 0.9968, recall: 0.8462, relative_absolute_error: 0.3164, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.7822, scimark_benchmark: 1851.1033, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.686, kappa: 0.3814, kb_relative_information_score: 77.3528, mean_absolute_error: 0.3124, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7017, predictive_accuracy: 0.6875, prior_entropy: 0.9968, recall: 0.6875, relative_absolute_error: 0.6277, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5218, root_relative_squared_error: 1.0459, scimark_benchmark: 1851.1033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.8453, kappa: 0.6889, kb_relative_information_score: 142.4705, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8484, predictive_accuracy: 0.8462, prior_entropy: 0.9968, recall: 0.8462, relative_absolute_error: 0.3164, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.7822, scimark_benchmark: 1336.8944, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.8009, kappa: 0.6001, kb_relative_information_score: 86.9411, mean_absolute_error: 0.3044, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8075, predictive_accuracy: 0.8029, prior_entropy: 0.9968, recall: 0.8029, relative_absolute_error: 0.6116, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.7573, scimark_benchmark: 1336.8944, usercpu_time_millis: 62.4004, usercpu_time_millis_testing: 15.6001, usercpu_time_millis_training: 46.8003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4852, f_measure: 0.3714, kb_relative_information_score: -0.0408, mean_absolute_error: 0.4978, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.2848, predictive_accuracy: 0.5337, prior_entropy: 0.9968, recall: 0.5337, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4989, root_relative_squared_error: 1.0001, scimark_benchmark: 1336.8944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.6753, kappa: 0.364, kb_relative_information_score: 73.5649, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6962, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.644, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.537, root_relative_squared_error: 1.0765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.678, kappa: 0.3533, kb_relative_information_score: 72.5339, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6781, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.6798, kappa: 0.3739, kb_relative_information_score: 73.4099, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7025, predictive_accuracy: 0.6827, prior_entropy: 0.9968, recall: 0.6827, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.537, root_relative_squared_error: 1.0764, scimark_benchmark: 1838.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.678, kappa: 0.3533, kb_relative_information_score: 72.5339, mean_absolute_error: 0.3244, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6781, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.6518, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5477, root_relative_squared_error: 1.0979, scimark_benchmark: 1850.8887, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7707, f_measure: 0.7501, kappa: 0.4984, kb_relative_information_score: 101.139, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7504, predictive_accuracy: 0.75, prior_entropy: 0.9968, recall: 0.75, relative_absolute_error: 0.5165, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4822, root_relative_squared_error: 0.9666, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.7022, kappa: 0.4027, kb_relative_information_score: 83.1883, mean_absolute_error: 0.2981, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.703, predictive_accuracy: 0.7019, prior_entropy: 0.9968, recall: 0.7019, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.546, root_relative_squared_error: 1.0944, usercpu_time_millis: 0.19, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.7536, kappa: 0.5045, kb_relative_information_score: 100.0919, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7553, predictive_accuracy: 0.7548, prior_entropy: 0.9968, recall: 0.7548, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9109, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7828, f_measure: 0.7536, kappa: 0.5045, kb_relative_information_score: 100.0919, mean_absolute_error: 0.2624, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7553, predictive_accuracy: 0.7548, prior_entropy: 0.9968, recall: 0.7548, relative_absolute_error: 0.5272, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4544, root_relative_squared_error: 0.9109, scimark_benchmark: 819.5729, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.4383, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9107, scimark_benchmark: 1230.3004, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.6798, kappa: 0.3739, kb_relative_information_score: 73.4099, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7025, predictive_accuracy: 0.6827, prior_entropy: 0.9968, recall: 0.6827, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.537, root_relative_squared_error: 1.0764, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7881, f_measure: 0.6999, kappa: 0.4011, kb_relative_information_score: 31.0797, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7147, predictive_accuracy: 0.7067, prior_entropy: 0.9968, recall: 0.7067, relative_absolute_error: 0.8792, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4515, root_relative_squared_error: 0.9051, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.6798, kappa: 0.3739, kb_relative_information_score: 73.4099, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7025, predictive_accuracy: 0.6827, prior_entropy: 0.9968, recall: 0.6827, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.537, root_relative_squared_error: 1.0764, scimark_benchmark: 1230.3004, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.6798, kappa: 0.3739, kb_relative_information_score: 73.4099, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7025, predictive_accuracy: 0.6827, prior_entropy: 0.9968, recall: 0.6827, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.537, root_relative_squared_error: 1.0764, scimark_benchmark: 1230.3004, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7947, f_measure: 0.6798, kappa: 0.3739, kb_relative_information_score: 73.4099, mean_absolute_error: 0.3208, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7025, predictive_accuracy: 0.6827, prior_entropy: 0.9968, recall: 0.6827, relative_absolute_error: 0.6445, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.537, root_relative_squared_error: 1.0764, scimark_benchmark: 1230.3004, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7881, f_measure: 0.6999, kappa: 0.4011, kb_relative_information_score: 31.0797, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7147, predictive_accuracy: 0.7067, prior_entropy: 0.9968, recall: 0.7067, relative_absolute_error: 0.8792, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4515, root_relative_squared_error: 0.9051, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.861, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.4383, mean_absolute_error: 0.2534, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5092, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9107, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.6896, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.439, root_relative_squared_error: 0.88, scimark_benchmark: 941.6675, usercpu_time_millis: 20, usercpu_time_millis_testing: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7334, kappa: 0.4642, kb_relative_information_score: 101.6896, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7371, predictive_accuracy: 0.7356, prior_entropy: 0.9968, recall: 0.7356, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.439, root_relative_squared_error: 0.88, scimark_benchmark: 941.6675, usercpu_time_millis: 30, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 10,

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