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: 0.7817, f_measure: 0.7834, kappa: 0.5645, kb_relative_information_score: 117.4073, mean_absolute_error: 0.2163, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7835, predictive_accuracy: 0.7837, prior_entropy: 0.9968, recall: 0.7837, relative_absolute_error: 0.4346, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9324, scimark_benchmark: 943.372,
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: 910.2738,
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: 908.6621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6978, f_measure: 0.6926, kappa: 0.3834, kb_relative_information_score: 78.2802, mean_absolute_error: 0.3107, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6934, predictive_accuracy: 0.6923, prior_entropy: 0.9968, recall: 0.6923, relative_absolute_error: 0.6242, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.0907,
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: 919.3702,
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: 924.0018,
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: 946.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.6923, kappa: 0.3818, kb_relative_information_score: 72.6827, mean_absolute_error: 0.3277, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6923, predictive_accuracy: 0.6923, prior_entropy: 0.9968, recall: 0.6923, relative_absolute_error: 0.6584, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5301, root_relative_squared_error: 1.0625, scimark_benchmark: 947.6089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8351, f_measure: 0.8364, kappa: 0.6712, kb_relative_information_score: 139.549, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8365, predictive_accuracy: 0.8365, prior_entropy: 0.9968, recall: 0.8365, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8104, scimark_benchmark: 904.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.567, f_measure: 0.4974, kappa: 0.1418, kb_relative_information_score: 38.9048, mean_absolute_error: 0.4038, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7701, predictive_accuracy: 0.5962, prior_entropy: 0.9968, recall: 0.5962, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6355, root_relative_squared_error: 1.2739, scimark_benchmark: 931.2378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.8215, kappa: 0.641, kb_relative_information_score: 127.7947, mean_absolute_error: 0.1936, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8228, predictive_accuracy: 0.8221, prior_entropy: 0.9968, recall: 0.8221, relative_absolute_error: 0.389, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3905, root_relative_squared_error: 0.7829, scimark_benchmark: 946.2679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.7733, kappa: 0.5439, kb_relative_information_score: 106.522, mean_absolute_error: 0.2479, 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: 0.4981, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.817, scimark_benchmark: 909.8226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9137, f_measure: 0.8505, kappa: 0.6992, kb_relative_information_score: 138.1857, mean_absolute_error: 0.1694, 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: 0.3404, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3323, root_relative_squared_error: 0.666, scimark_benchmark: 923.2292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8814, f_measure: 0.774, kappa: 0.5457, kb_relative_information_score: 92.1775, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7739, predictive_accuracy: 0.774, prior_entropy: 0.9968, recall: 0.774, relative_absolute_error: 0.5753, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7589, scimark_benchmark: 949.6454,
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: 941.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8104, f_measure: 0.7142, kappa: 0.4301, kb_relative_information_score: 65.9387, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7313, predictive_accuracy: 0.7212, prior_entropy: 0.9968, recall: 0.7212, relative_absolute_error: 0.7009, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4193, root_relative_squared_error: 0.8404, scimark_benchmark: 949.8817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.7207, kappa: 0.4383, kb_relative_information_score: 75.8966, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7208, predictive_accuracy: 0.7212, prior_entropy: 0.9968, recall: 0.7212, relative_absolute_error: 0.6463, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9488, scimark_benchmark: 911.2426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8429, f_measure: 0.8455, kappa: 0.6893, kb_relative_information_score: 143.5748, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8474, predictive_accuracy: 0.8462, prior_entropy: 0.9968, recall: 0.8462, relative_absolute_error: 0.3091, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7862, scimark_benchmark: 903.7134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7716, f_measure: 0.715, kappa: 0.4268, kb_relative_information_score: 65.5521, mean_absolute_error: 0.3553, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7163, predictive_accuracy: 0.7163, prior_entropy: 0.9968, recall: 0.7163, relative_absolute_error: 0.7139, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4337, root_relative_squared_error: 0.8693, scimark_benchmark: 946.5133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.8296, kappa: 0.6582, kb_relative_information_score: 84.659, mean_absolute_error: 0.316, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8391, predictive_accuracy: 0.8317, prior_entropy: 0.9968, recall: 0.8317, relative_absolute_error: 0.6348, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3625, root_relative_squared_error: 0.7266, scimark_benchmark: 931.3351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9113, f_measure: 0.8246, kappa: 0.6482, kb_relative_information_score: 82.6412, mean_absolute_error: 0.3201, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8352, predictive_accuracy: 0.8269, prior_entropy: 0.9968, recall: 0.8269, relative_absolute_error: 0.643, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3697, root_relative_squared_error: 0.7411, scimark_benchmark: 948.4616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8829, f_measure: 0.7615, kappa: 0.5214, kb_relative_information_score: 77.229, mean_absolute_error: 0.3312, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7691, predictive_accuracy: 0.7644, prior_entropy: 0.9968, recall: 0.7644, relative_absolute_error: 0.6654, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3849, root_relative_squared_error: 0.7716, scimark_benchmark: 911.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6972, f_measure: 0.678, kappa: 0.3533, kb_relative_information_score: 72.3715, mean_absolute_error: 0.3249, 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: 0.6528, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5455, root_relative_squared_error: 1.0935, scimark_benchmark: 949.2275,
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: 944.9542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7663, f_measure: 0.7501, kappa: 0.4984, kb_relative_information_score: 100.9745, mean_absolute_error: 0.2576, 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: 0.5175, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9683, scimark_benchmark: 945.5425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7228, f_measure: 0.639, kappa: 0.2741, kb_relative_information_score: 55.8637, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6388, predictive_accuracy: 0.6394, prior_entropy: 0.9968, recall: 0.6394, relative_absolute_error: 0.7396, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4911, root_relative_squared_error: 0.9844, scimark_benchmark: 937.3029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.8317, kappa: 0.6617, kb_relative_information_score: 126.783, mean_absolute_error: 0.1979, 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: 0.3976, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.6946, scimark_benchmark: 938.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8302, f_measure: 0.7069, kappa: 0.4128, kb_relative_information_score: 72.7826, mean_absolute_error: 0.3319, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7159, predictive_accuracy: 0.7115, prior_entropy: 0.9968, recall: 0.7115, relative_absolute_error: 0.6668, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4078, root_relative_squared_error: 0.8174, scimark_benchmark: 944.5681,
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: 923.3595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7568, f_measure: 0.7111, kappa: 0.4189, kb_relative_information_score: 77.7678, mean_absolute_error: 0.3181, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7111, predictive_accuracy: 0.7115, prior_entropy: 0.9968, recall: 0.7115, relative_absolute_error: 0.639, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4768, root_relative_squared_error: 0.9557, scimark_benchmark: 946.4969,
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: 924.6692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.7763, kappa: 0.551, kb_relative_information_score: 78.1544, mean_absolute_error: 0.3294, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7834, predictive_accuracy: 0.7788, prior_entropy: 0.9968, recall: 0.7788, relative_absolute_error: 0.6618, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3827, root_relative_squared_error: 0.7671, scimark_benchmark: 946.3165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, f_measure: 0.781, kappa: 0.5605, kb_relative_information_score: 78.7634, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7891, predictive_accuracy: 0.7837, prior_entropy: 0.9968, recall: 0.7837, relative_absolute_error: 0.6581, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3818, root_relative_squared_error: 0.7654, scimark_benchmark: 914.7461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8442, f_measure: 0.8459, kappa: 0.6901, kb_relative_information_score: 143.5748, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8463, predictive_accuracy: 0.8462, prior_entropy: 0.9968, recall: 0.8462, relative_absolute_error: 0.3091, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7862, scimark_benchmark: 911.2036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8488, f_measure: 0.7729, kappa: 0.5433, kb_relative_information_score: 92.923, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7748, predictive_accuracy: 0.774, prior_entropy: 0.9968, recall: 0.774, relative_absolute_error: 0.5746, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3989, root_relative_squared_error: 0.7997, scimark_benchmark: 924.6561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6793, f_measure: 0.682, kappa: 0.3635, kb_relative_information_score: 77.1496, mean_absolute_error: 0.3125, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6912, predictive_accuracy: 0.6875, prior_entropy: 0.9968, recall: 0.6875, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.559, root_relative_squared_error: 1.1206, scimark_benchmark: 912.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.6969, kappa: 0.4282, kb_relative_information_score: 93.2527, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8189, predictive_accuracy: 0.726, prior_entropy: 0.9968, recall: 0.726, relative_absolute_error: 0.5505, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5235, root_relative_squared_error: 1.0494, scimark_benchmark: 916.5154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7118, f_measure: 0.6879, kappa: 0.375, kb_relative_information_score: 69.5835, mean_absolute_error: 0.3361, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6898, predictive_accuracy: 0.6875, prior_entropy: 0.9968, recall: 0.6875, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5151, root_relative_squared_error: 1.0326, scimark_benchmark: 946.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, f_measure: 0.7455, kappa: 0.4904, kb_relative_information_score: 101.3042, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7475, predictive_accuracy: 0.7452, prior_entropy: 0.9968, recall: 0.7452, relative_absolute_error: 0.5119, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.0119, scimark_benchmark: 930.4371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7361, f_measure: 0.7021, kappa: 0.4058, kb_relative_information_score: 80.0422, mean_absolute_error: 0.3078, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7069, predictive_accuracy: 0.7019, prior_entropy: 0.9968, recall: 0.7019, relative_absolute_error: 0.6184, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5133, root_relative_squared_error: 1.029, scimark_benchmark: 913.9306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.8121, kappa: 0.6221, kb_relative_information_score: 131.942, mean_absolute_error: 0.1803, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8126, predictive_accuracy: 0.8125, prior_entropy: 0.9968, recall: 0.8125, relative_absolute_error: 0.3621, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.385, root_relative_squared_error: 0.7718, scimark_benchmark: 949.3116,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9002, f_measure: 0.8215, kappa: 0.641, kb_relative_information_score: 125.2477, mean_absolute_error: 0.2015, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8228, predictive_accuracy: 0.8221, prior_entropy: 0.9968, recall: 0.8221, relative_absolute_error: 0.4047, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.7627, scimark_benchmark: 946.5061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.7207, kappa: 0.4383, kb_relative_information_score: 75.8966, mean_absolute_error: 0.3217, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7208, predictive_accuracy: 0.7212, prior_entropy: 0.9968, recall: 0.7212, relative_absolute_error: 0.6463, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9488, scimark_benchmark: 910.9097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8714, f_measure: 0.7829, kappa: 0.5634, kb_relative_information_score: 80.7453, mean_absolute_error: 0.3204, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.784, predictive_accuracy: 0.7837, prior_entropy: 0.9968, recall: 0.7837, relative_absolute_error: 0.6436, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7674, scimark_benchmark: 946.1027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.6682, kappa: 0.3331, kb_relative_information_score: 66.9003, mean_absolute_error: 0.341, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6681, predictive_accuracy: 0.6683, prior_entropy: 0.9968, recall: 0.6683, relative_absolute_error: 0.685, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4788, root_relative_squared_error: 0.9599, scimark_benchmark: 922.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8164, f_measure: 0.8214, kappa: 0.6454, kb_relative_information_score: 135.5233, mean_absolute_error: 0.1731, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8542, predictive_accuracy: 0.8269, prior_entropy: 0.9968, recall: 0.8269, relative_absolute_error: 0.3477, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.416, root_relative_squared_error: 0.8339, scimark_benchmark: 947.7573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7631, f_measure: 0.6775, kappa: 0.3516, kb_relative_information_score: 69.8441, mean_absolute_error: 0.3336, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6774, predictive_accuracy: 0.6779, prior_entropy: 0.9968, recall: 0.6779, relative_absolute_error: 0.6702, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4766, root_relative_squared_error: 0.9554, scimark_benchmark: 937.5573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7691, kappa: 0.5358, kb_relative_information_score: 75.2924, mean_absolute_error: 0.3312, 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: 0.6653, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4177, root_relative_squared_error: 0.8373, scimark_benchmark: 910.7739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.567, f_measure: 0.4974, kappa: 0.1418, kb_relative_information_score: 38.9048, mean_absolute_error: 0.4038, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7701, predictive_accuracy: 0.5962, prior_entropy: 0.9968, recall: 0.5962, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.6355, root_relative_squared_error: 1.2739, scimark_benchmark: 941.4791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7081, f_measure: 0.6588, kappa: 0.3146, kb_relative_information_score: 54.7489, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6589, predictive_accuracy: 0.6587, prior_entropy: 0.9968, recall: 0.6587, relative_absolute_error: 0.7513, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.4887, root_relative_squared_error: 0.9796, scimark_benchmark: 914.6886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8775, f_measure: 0.7923, kappa: 0.5822, kb_relative_information_score: 78.0349, mean_absolute_error: 0.3292, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.7943, predictive_accuracy: 0.7933, prior_entropy: 0.9968, recall: 0.7933, relative_absolute_error: 0.6614, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3847, root_relative_squared_error: 0.7711, scimark_benchmark: 891.3987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7119, f_measure: 0.6975, kappa: 0.3942, kb_relative_information_score: 81.9713, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.6994, predictive_accuracy: 0.6971, prior_entropy: 0.9968, recall: 0.6971, relative_absolute_error: 0.6044, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.5473, root_relative_squared_error: 1.0971, scimark_benchmark: 903.7914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8594, kappa: 0.7175, kb_relative_information_score: 149.1767, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.4978, number_of_instances: 208, precision: 0.8652, predictive_accuracy: 0.8606, prior_entropy: 0.9968, recall: 0.8606, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.4989, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7347, scimark_benchmark: 945.7053,
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: 926.5898,
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: 916.3666,
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: 923.0993,

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