OpenML
Supervised Classification on analcatdata_authorship

Supervised Classification on analcatdata_authorship

Task 3549 Supervised Classification analcatdata_authorship 23487 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_50 study_7 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, kb_relative_information_score: 1.9893, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.975, kappa: 0.9636, kb_relative_information_score: 729.7158, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9752, predictive_accuracy: 0.975, prior_entropy: 1.7898, recall: 0.975, relative_absolute_error: 0.1904, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1299, root_relative_squared_error: 0.3134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 815.0044, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.047, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0547, root_relative_squared_error: 0.1319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9572, kappa: 0.9376, kb_relative_information_score: 729.3058, mean_absolute_error: 0.063, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9575, predictive_accuracy: 0.9572, prior_entropy: 1.7898, recall: 0.9572, relative_absolute_error: 0.1833, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1392, root_relative_squared_error: 0.3358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 820.0762, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0372, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0506, root_relative_squared_error: 0.1221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9595, kappa: 0.9411, kb_relative_information_score: 733.968, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.96, predictive_accuracy: 0.9596, prior_entropy: 1.7898, recall: 0.9596, relative_absolute_error: 0.1762, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.3243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9727, kappa: 0.9604, kb_relative_information_score: 794.0761, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9734, predictive_accuracy: 0.9727, prior_entropy: 1.7898, recall: 0.9727, relative_absolute_error: 0.0755, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.2481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9905, kappa: 0.9862, kb_relative_information_score: 438.4441, mean_absolute_error: 0.1815, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7898, recall: 0.9905, relative_absolute_error: 0.5278, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.7127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kappa: -0.0017, kb_relative_information_score: 1.3267, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3734, prior_entropy: 1.7898, recall: 0.3734, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5246, kappa: 0.0039, kb_relative_information_score: 1.6905, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3793, prior_entropy: 1.7898, recall: 0.3793, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4143, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.944, kappa: 0.9185, kb_relative_information_score: 745.6989, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9446, predictive_accuracy: 0.9441, prior_entropy: 1.7898, recall: 0.9441, relative_absolute_error: 0.1473, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1426, root_relative_squared_error: 0.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9786, kappa: 0.9688, kb_relative_information_score: 756.7109, mean_absolute_error: 0.0488, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9789, predictive_accuracy: 0.9786, prior_entropy: 1.7898, recall: 0.9786, relative_absolute_error: 0.1419, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.2782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 1.5028, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.9417, kappa: 0.9152, kb_relative_information_score: 770.7036, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9418, predictive_accuracy: 0.9417, prior_entropy: 1.7898, recall: 0.9417, relative_absolute_error: 0.0876, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.4046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 821.0568, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7898, recall: 0.9976, relative_absolute_error: 0.0354, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0491, root_relative_squared_error: 0.1185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kappa: -0.0017, kb_relative_information_score: 1.0357, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3734, prior_entropy: 1.7898, recall: 0.3734, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 0.6556, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9262, kappa: 0.8927, kb_relative_information_score: 84.5709, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9262, predictive_accuracy: 0.9263, prior_entropy: 1.7898, recall: 0.9263, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.9603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, kappa: 0.4341, kb_relative_information_score: 300.1995, mean_absolute_error: 0.2447, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.6421, prior_entropy: 1.7898, recall: 0.6421, relative_absolute_error: 0.7116, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.355, root_relative_squared_error: 0.8562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9427, kappa: 0.9167, kb_relative_information_score: 706.6812, mean_absolute_error: 0.0738, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9434, predictive_accuracy: 0.9429, prior_entropy: 1.7898, recall: 0.9429, relative_absolute_error: 0.2145, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.3799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 820.8357, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0359, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0491, root_relative_squared_error: 0.1185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.95, kappa: 0.9272, kb_relative_information_score: 721.7502, mean_absolute_error: 0.0659, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9502, predictive_accuracy: 0.9501, prior_entropy: 1.7898, recall: 0.9501, relative_absolute_error: 0.1916, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.3573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 820.5902, mean_absolute_error: 0.0126, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0365, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0464, root_relative_squared_error: 0.1119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 819.716, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0379, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0508, root_relative_squared_error: 0.1225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9833, kappa: 0.9758, kb_relative_information_score: 57.5199, mean_absolute_error: 0.3545, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9834, predictive_accuracy: 0.9834, prior_entropy: 1.7898, recall: 0.9834, relative_absolute_error: 1.0308, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.9875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.951, kappa: 0.9289, kb_relative_information_score: 723.0773, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9521, predictive_accuracy: 0.9512, prior_entropy: 1.7898, recall: 0.9512, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1445, root_relative_squared_error: 0.3486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 823.4521, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0313, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.042, root_relative_squared_error: 0.1013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 820.288, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.037, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0469, root_relative_squared_error: 0.1131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9893, kappa: 0.9844, kb_relative_information_score: 672.2463, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9893, predictive_accuracy: 0.9893, prior_entropy: 1.7898, recall: 0.9893, relative_absolute_error: 0.2976, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1521, root_relative_squared_error: 0.3668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 2.2168, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 819.3566, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0384, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0522, root_relative_squared_error: 0.1259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 817.7324, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0424, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0499, root_relative_squared_error: 0.1205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.9477, kappa: 0.9239, kb_relative_information_score: 85.9901, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9477, predictive_accuracy: 0.9477, prior_entropy: 1.7898, recall: 0.9477, relative_absolute_error: 1.0008, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.9591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, kb_relative_information_score: 1.6917, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9561, kappa: 0.936, kb_relative_information_score: 765.1302, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9564, predictive_accuracy: 0.956, prior_entropy: 1.7898, recall: 0.956, relative_absolute_error: 0.1196, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1324, root_relative_squared_error: 0.3194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 819.9417, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.038, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0466, root_relative_squared_error: 0.1123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 810.8857, mean_absolute_error: 0.0176, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9881, predictive_accuracy: 0.9881, prior_entropy: 1.7898, recall: 0.9881, relative_absolute_error: 0.0511, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0702, root_relative_squared_error: 0.1693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9941, kappa: 0.9914, kb_relative_information_score: 814.552, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9941, predictive_accuracy: 0.9941, prior_entropy: 1.7898, recall: 0.9941, relative_absolute_error: 0.0477, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0553, root_relative_squared_error: 0.1335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9619, kappa: 0.9446, kb_relative_information_score: 795.5189, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9624, predictive_accuracy: 0.962, prior_entropy: 1.7898, recall: 0.962, relative_absolute_error: 0.0546, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.3176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5534, kappa: -0.0232, kb_relative_information_score: 39.3296, mean_absolute_error: 0.3392, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3401, prior_entropy: 1.7898, recall: 0.3401, relative_absolute_error: 0.9863, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4125, root_relative_squared_error: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 819.3858, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0384, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0518, root_relative_squared_error: 0.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9666, kappa: 0.9515, kb_relative_information_score: 760.1857, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.967, predictive_accuracy: 0.9667, prior_entropy: 1.7898, recall: 0.9667, relative_absolute_error: 0.1296, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1223, root_relative_squared_error: 0.2951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9948, kb_relative_information_score: 823.6698, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 1.7898, recall: 0.9964, relative_absolute_error: 0.0308, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0422, root_relative_squared_error: 0.1018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3895, kb_relative_information_score: 2.1608, mean_absolute_error: 0.3434, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3769, prior_entropy: 1.7898, recall: 0.3769, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9476, kappa: 0.9237, kb_relative_information_score: 728.3449, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9479, predictive_accuracy: 0.9477, prior_entropy: 1.7898, recall: 0.9477, relative_absolute_error: 0.1815, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.3445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.963, kappa: 0.9463, kb_relative_information_score: 731.3947, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9635, predictive_accuracy: 0.9631, prior_entropy: 1.7898, recall: 0.9631, relative_absolute_error: 0.1813, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1351, root_relative_squared_error: 0.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, kappa: 0.0006, kb_relative_information_score: 1.8002, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.3439, number_of_instances: 841, predictive_accuracy: 0.3698, prior_entropy: 1.7898, recall: 0.3698, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9931, kb_relative_information_score: 819.9277, mean_absolute_error: 0.0124, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9953, predictive_accuracy: 0.9952, prior_entropy: 1.7898, recall: 0.9952, relative_absolute_error: 0.0362, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0509, root_relative_squared_error: 0.1228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9976, kappa: 0.9965, kb_relative_information_score: 817.4935, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7898, recall: 0.9976, relative_absolute_error: 0.0428, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0503, root_relative_squared_error: 0.1214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9857, kappa: 0.9792, kb_relative_information_score: 67.954, mean_absolute_error: 0.3514, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9858, predictive_accuracy: 0.9857, prior_entropy: 1.7898, recall: 0.9857, relative_absolute_error: 1.0219, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.9789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9726, kappa: 0.9602, kb_relative_information_score: 754.9667, mean_absolute_error: 0.0491, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9731, predictive_accuracy: 0.9727, prior_entropy: 1.7898, recall: 0.9727, relative_absolute_error: 0.1429, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.2844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9929, kappa: 0.9896, kb_relative_information_score: 815.4075, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7898, recall: 0.9929, relative_absolute_error: 0.0406, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0579, root_relative_squared_error: 0.1396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9761, kappa: 0.9653, kb_relative_information_score: 733.2496, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9764, predictive_accuracy: 0.9762, prior_entropy: 1.7898, recall: 0.9762, relative_absolute_error: 0.1876, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1238, root_relative_squared_error: 0.2986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.9359, kappa: 0.9068, kb_relative_information_score: 767.3222, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9361, predictive_accuracy: 0.9358, prior_entropy: 1.7898, recall: 0.9358, relative_absolute_error: 0.0934, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.4322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9762, kappa: 0.9654, kb_relative_information_score: 754.4442, mean_absolute_error: 0.0514, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9764, predictive_accuracy: 0.9762, prior_entropy: 1.7898, recall: 0.9762, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.2698,

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