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File: /var/www/openml/index.php
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Function: require_once

OpenML
OpenML
Supervised Classification on heart-h

Supervised Classification on heart-h

Task 50 Supervised Classification heart-h 703 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • basic study_1 study_107 study_41 study_50 study_73 under100k under1m
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703 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: -13.4112, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 1.0285, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3067, root_relative_squared_error: 1.0099, scimark_benchmark: 944.8381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.7999, kappa: 0.5587, kb_relative_information_score: 6.3075, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8049, predictive_accuracy: 0.8061, prior_entropy: 1.0314, recall: 0.8061, relative_absolute_error: 0.9775, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.9574, scimark_benchmark: 934.8594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6795, f_measure: 0.73, kappa: 0.4067, kb_relative_information_score: 0.6736, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7815, predictive_accuracy: 0.7585, prior_entropy: 1.0314, recall: 0.7585, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.9727, scimark_benchmark: 944.6911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.8284, kappa: 0.625, kb_relative_information_score: 148.5605, mean_absolute_error: 0.0865, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8281, predictive_accuracy: 0.8299, prior_entropy: 1.0314, recall: 0.8299, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.7289, scimark_benchmark: 947.1859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.741, kappa: 0.4371, kb_relative_information_score: 117.5169, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7405, predictive_accuracy: 0.7415, prior_entropy: 1.0314, recall: 0.7415, relative_absolute_error: 0.5527, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.319, root_relative_squared_error: 1.0505, scimark_benchmark: 946.5802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: -13.4112, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 1.0285, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3067, root_relative_squared_error: 1.0099, scimark_benchmark: 919.9797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5062, f_measure: 0.5164, kappa: 0.0155, kb_relative_information_score: -13.4112, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.591, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 1.0285, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3067, root_relative_squared_error: 1.0099, scimark_benchmark: 947.7422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8636, f_measure: 0.7909, kappa: 0.5435, kb_relative_information_score: 149.3243, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7902, predictive_accuracy: 0.7925, prior_entropy: 1.0314, recall: 0.7925, relative_absolute_error: 0.4418, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2555, root_relative_squared_error: 0.8413, scimark_benchmark: 947.2235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7471, f_measure: 0.7682, kappa: 0.4963, kb_relative_information_score: 1.8808, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7678, predictive_accuracy: 0.7687, prior_entropy: 1.0314, recall: 0.7687, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.9694, scimark_benchmark: 945.7413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7955, f_measure: 0.7872, kappa: 0.535, kb_relative_information_score: 116.6606, mean_absolute_error: 0.111, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7865, predictive_accuracy: 0.7891, prior_entropy: 1.0314, recall: 0.7891, relative_absolute_error: 0.5945, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2543, root_relative_squared_error: 0.8374, scimark_benchmark: 947.4229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8874, f_measure: 0.8288, kappa: 0.6266, kb_relative_information_score: 150.6371, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8284, predictive_accuracy: 0.8299, prior_entropy: 1.0314, recall: 0.8299, relative_absolute_error: 0.4551, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.7351, scimark_benchmark: 948.6655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8844, f_measure: 0.8222, kappa: 0.6085, kb_relative_information_score: 152.8148, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8256, predictive_accuracy: 0.8265, prior_entropy: 1.0314, recall: 0.8265, relative_absolute_error: 0.4432, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.7369, scimark_benchmark: 948.9217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.8073, kappa: 0.5782, kb_relative_information_score: 6.7099, mean_absolute_error: 0.1823, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.807, predictive_accuracy: 0.8095, prior_entropy: 1.0314, recall: 0.8095, relative_absolute_error: 0.9765, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2904, root_relative_squared_error: 0.9563, scimark_benchmark: 910.4688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7655, f_measure: 0.7974, kappa: 0.5538, kb_relative_information_score: 5.905, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8004, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2911, root_relative_squared_error: 0.9585, scimark_benchmark: 912.7837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8159, kappa: 0.6, kb_relative_information_score: 148.9652, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8156, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7385, scimark_benchmark: 946.6651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6571, f_measure: 0.7081, kappa: 0.3653, kb_relative_information_score: -0.5337, mean_absolute_error: 0.1858, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7942, predictive_accuracy: 0.7483, prior_entropy: 1.0314, recall: 0.7483, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2964, root_relative_squared_error: 0.9759, scimark_benchmark: 947.0861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8159, kappa: 0.6, kb_relative_information_score: 148.9652, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8156, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7385, scimark_benchmark: 946.4552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8508, f_measure: 0.7835, kappa: 0.5265, kb_relative_information_score: 116.9797, mean_absolute_error: 0.1101, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7828, predictive_accuracy: 0.7857, prior_entropy: 1.0314, recall: 0.7857, relative_absolute_error: 0.5898, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.242, root_relative_squared_error: 0.7967, scimark_benchmark: 946.3344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7275, f_measure: 0.7716, kappa: 0.4947, kb_relative_information_score: 3.8929, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7918, predictive_accuracy: 0.7857, prior_entropy: 1.0314, recall: 0.7857, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.964, scimark_benchmark: 948.9214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8243, f_measure: 0.7955, kappa: 0.5509, kb_relative_information_score: 130.795, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7963, predictive_accuracy: 0.7993, prior_entropy: 1.0314, recall: 0.7993, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.249, root_relative_squared_error: 0.8198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8931, f_measure: 0.8288, kappa: 0.6266, kb_relative_information_score: 149.4044, mean_absolute_error: 0.0866, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8284, predictive_accuracy: 0.8299, prior_entropy: 1.0314, recall: 0.8299, relative_absolute_error: 0.4637, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.7163, scimark_benchmark: 923.9757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.909, f_measure: 0.8464, kappa: 0.666, kb_relative_information_score: 171.662, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8461, predictive_accuracy: 0.8469, prior_entropy: 1.0314, recall: 0.8469, relative_absolute_error: 0.3693, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2229, root_relative_squared_error: 0.7338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.8199, kappa: 0.6098, kb_relative_information_score: 120.3987, mean_absolute_error: 0.1096, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8201, predictive_accuracy: 0.8197, prior_entropy: 1.0314, recall: 0.8197, relative_absolute_error: 0.5868, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.776, scimark_benchmark: 924.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6828, f_measure: 0.7343, kappa: 0.418, kb_relative_information_score: 1.4784, mean_absolute_error: 0.1848, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.801, predictive_accuracy: 0.7653, prior_entropy: 1.0314, recall: 0.7653, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.9705, scimark_benchmark: 921.0239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.8142, kappa: 0.5933, kb_relative_information_score: 148.8004, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.814, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.4552, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.7646, scimark_benchmark: 948.4483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: -13.4112, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 1.0285, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3067, root_relative_squared_error: 1.0099, scimark_benchmark: 915.8286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7674, f_measure: 0.8094, kappa: 0.5814, kb_relative_information_score: 110.8916, mean_absolute_error: 0.1183, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8105, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.6335, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2473, root_relative_squared_error: 0.8142, scimark_benchmark: 934.1788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7761, f_measure: 0.8101, kappa: 0.581, kb_relative_information_score: 7.5147, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8164, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.9744, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.9541, scimark_benchmark: 911.3727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.8119, kappa: 0.5842, kb_relative_information_score: 7.9171, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.823, predictive_accuracy: 0.8197, prior_entropy: 1.0314, recall: 0.8197, relative_absolute_error: 0.9733, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2894, root_relative_squared_error: 0.953, scimark_benchmark: 948.3622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.8064, kappa: 0.5717, kb_relative_information_score: 147.1402, mean_absolute_error: 0.0839, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8232, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.4492, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2398, root_relative_squared_error: 0.7897, scimark_benchmark: 948.4506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4988, kb_relative_information_score: -13.4112, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.4089, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 1.0285, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3067, root_relative_squared_error: 1.0099, scimark_benchmark: 937.2222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7676, f_measure: 0.7981, kappa: 0.5557, kb_relative_information_score: 154.0219, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8001, predictive_accuracy: 0.8027, prior_entropy: 1.0314, recall: 0.8027, relative_absolute_error: 0.4226, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.9249, scimark_benchmark: 948.4188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7025, f_measure: 0.751, kappa: 0.4504, kb_relative_information_score: 2.2833, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7866, predictive_accuracy: 0.7721, prior_entropy: 1.0314, recall: 0.7721, relative_absolute_error: 0.9879, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.9683, scimark_benchmark: 926.6106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7885, f_measure: 0.7877, kappa: 0.5369, kb_relative_information_score: 114.5595, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.787, predictive_accuracy: 0.7891, prior_entropy: 1.0314, recall: 0.7891, relative_absolute_error: 0.6035, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2552, root_relative_squared_error: 0.8403, scimark_benchmark: 917.0511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5743, f_measure: 0.613, kappa: 0.1796, kb_relative_information_score: -7.7773, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7276, predictive_accuracy: 0.6871, prior_entropy: 1.0314, recall: 0.6871, relative_absolute_error: 1.0139, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3022, root_relative_squared_error: 0.9952, scimark_benchmark: 947.6475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8905, f_measure: 0.7977, kappa: 0.5584, kb_relative_information_score: 115.7335, mean_absolute_error: 0.1131, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7971, predictive_accuracy: 0.7993, prior_entropy: 1.0314, recall: 0.7993, relative_absolute_error: 0.6058, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.243, root_relative_squared_error: 0.8, scimark_benchmark: 946.0515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8402, f_measure: 0.7787, kappa: 0.5195, kb_relative_information_score: 135.3153, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7785, predictive_accuracy: 0.7789, prior_entropy: 1.0314, recall: 0.7789, relative_absolute_error: 0.4961, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2634, root_relative_squared_error: 0.8674,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8799, f_measure: 0.8114, kappa: 0.5884, kb_relative_information_score: 121.8337, mean_absolute_error: 0.1064, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8109, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.57, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2313, root_relative_squared_error: 0.7617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8159, kappa: 0.6, kb_relative_information_score: 148.9652, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8156, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7385, scimark_benchmark: 946.6546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.7861, kappa: 0.5311, kb_relative_information_score: 128.1756, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7858, predictive_accuracy: 0.7891, prior_entropy: 1.0314, recall: 0.7891, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.237, root_relative_squared_error: 0.7803, scimark_benchmark: 945.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.8041, kappa: 0.5716, kb_relative_information_score: 133.0386, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8037, predictive_accuracy: 0.8061, prior_entropy: 1.0314, recall: 0.8061, relative_absolute_error: 0.5274, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7386, scimark_benchmark: 928.5452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8026, f_measure: 0.8247, kappa: 0.6167, kb_relative_information_score: 8.722, mean_absolute_error: 0.1813, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8246, predictive_accuracy: 0.8265, prior_entropy: 1.0314, recall: 0.8265, relative_absolute_error: 0.9713, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2888, root_relative_squared_error: 0.9508, scimark_benchmark: 910.6712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5062, f_measure: 0.5164, kappa: 0.0155, kb_relative_information_score: -13.4112, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.591, predictive_accuracy: 0.6395, prior_entropy: 1.0314, recall: 0.6395, relative_absolute_error: 1.0285, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3067, root_relative_squared_error: 1.0099, scimark_benchmark: 926.3809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.8088, kappa: 0.5796, kb_relative_information_score: 107.9086, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8107, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.6457, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2467, root_relative_squared_error: 0.8122, scimark_benchmark: 884.7018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.826, kappa: 0.6215, kb_relative_information_score: -199.1607, mean_absolute_error: 0.2923, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8256, predictive_accuracy: 0.8265, prior_entropy: 1.0314, recall: 0.8265, relative_absolute_error: 1.5653, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.3661, root_relative_squared_error: 1.2053, scimark_benchmark: 933.8586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.819, kappa: 0.6017, kb_relative_information_score: 152.7213, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8217, predictive_accuracy: 0.8231, prior_entropy: 1.0314, recall: 0.8231, relative_absolute_error: 0.4473, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.7208, scimark_benchmark: 940.7926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8768, f_measure: 0.8082, kappa: 0.5818, kb_relative_information_score: 129.9395, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8077, predictive_accuracy: 0.8095, prior_entropy: 1.0314, recall: 0.8095, relative_absolute_error: 0.5335, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.7702, scimark_benchmark: 915.8929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8141, f_measure: 0.8324, kappa: 0.6348, kb_relative_information_score: 9.5268, mean_absolute_error: 0.181, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.832, predictive_accuracy: 0.8333, prior_entropy: 1.0314, recall: 0.8333, relative_absolute_error: 0.9692, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.9486, scimark_benchmark: 947.1621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7532, f_measure: 0.7943, kappa: 0.5471, kb_relative_information_score: 107.196, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7966, predictive_accuracy: 0.7993, prior_entropy: 1.0314, recall: 0.7993, relative_absolute_error: 0.6426, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.255, root_relative_squared_error: 0.8398, scimark_benchmark: 926.1881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7109, f_measure: 0.7367, kappa: 0.4261, kb_relative_information_score: -1.741, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7356, predictive_accuracy: 0.7381, prior_entropy: 1.0314, recall: 0.7381, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2974, root_relative_squared_error: 0.9792, scimark_benchmark: 947.6728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7418, f_measure: 0.7619, kappa: 0.4836, kb_relative_information_score: 1.076, mean_absolute_error: 0.185, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7619, predictive_accuracy: 0.7619, prior_entropy: 1.0314, recall: 0.7619, relative_absolute_error: 0.991, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9716, scimark_benchmark: 909.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8966, f_measure: 0.8159, kappa: 0.6, kb_relative_information_score: 148.9652, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8156, predictive_accuracy: 0.8163, prior_entropy: 1.0314, recall: 0.8163, relative_absolute_error: 0.4591, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2243, root_relative_squared_error: 0.7385, scimark_benchmark: 949.2975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8492, f_measure: 0.8106, kappa: 0.592, kb_relative_information_score: 120.6133, mean_absolute_error: 0.1086, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8124, predictive_accuracy: 0.8095, prior_entropy: 1.0314, recall: 0.8095, relative_absolute_error: 0.5818, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2369, root_relative_squared_error: 0.7802, scimark_benchmark: 944.5368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.8123, kappa: 0.5918, kb_relative_information_score: 146.5352, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.8119, predictive_accuracy: 0.8129, prior_entropy: 1.0314, recall: 0.8129, relative_absolute_error: 0.4661, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2332, root_relative_squared_error: 0.7677, scimark_benchmark: 946.7132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8243, f_measure: 0.7955, kappa: 0.5509, kb_relative_information_score: 130.795, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7963, predictive_accuracy: 0.7993, prior_entropy: 1.0314, recall: 0.7993, relative_absolute_error: 0.5238, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.249, root_relative_squared_error: 0.8198, scimark_benchmark: 927.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7275, f_measure: 0.7716, kappa: 0.4947, kb_relative_information_score: 3.8929, mean_absolute_error: 0.1837, mean_prior_absolute_error: 0.1867, number_of_instances: 294, precision: 0.7918, predictive_accuracy: 0.7857, prior_entropy: 1.0314, recall: 0.7857, relative_absolute_error: 0.9837, root_mean_prior_squared_error: 0.3037, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.964, scimark_benchmark: 947.7302,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs