OpenML
Supervised Classification on irish

Supervised Classification on irish

Task 3543 Supervised Classification irish 13324 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 under100k under1m
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13324 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.998, kappa: 0.9959, kb_relative_information_score: 472.0985, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.991, recall: 0.998, relative_absolute_error: 0.0664, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.1809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.97, kappa: 0.9393, kb_relative_information_score: 453.7764, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9701, predictive_accuracy: 0.97, prior_entropy: 0.991, recall: 0.97, relative_absolute_error: 0.105, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.2525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 498.4708, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0041, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0065, root_relative_squared_error: 0.0131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 489.515, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.027, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0423, root_relative_squared_error: 0.0852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 496.6837, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0089, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.015, root_relative_squared_error: 0.0302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: -7.046, mean_absolute_error: 0.4982, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1.0091, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4985, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 475.9848, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.058, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0808, root_relative_squared_error: 0.1627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 498.7933, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0032, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0056, root_relative_squared_error: 0.0112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 497.1931, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0076, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0119, root_relative_squared_error: 0.0239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 480.7998, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0478, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0666, root_relative_squared_error: 0.1341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 497.6399, mean_absolute_error: 0.0031, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0063, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0108, root_relative_squared_error: 0.0218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 472.6319, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0614, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.2176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9521, kappa: 0.9032, kb_relative_information_score: 395.2716, mean_absolute_error: 0.1118, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9529, predictive_accuracy: 0.952, prior_entropy: 0.991, recall: 0.952, relative_absolute_error: 0.2263, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2106, root_relative_squared_error: 0.4238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.536, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0012, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0021, root_relative_squared_error: 0.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 498.422, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0067, root_relative_squared_error: 0.0135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 498.9628, mean_absolute_error: 0.0014, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0028, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0044, root_relative_squared_error: 0.0088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 448.8258, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.1218, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.0271, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0026, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0041, root_relative_squared_error: 0.0083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 478.2684, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0535, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0734, root_relative_squared_error: 0.1477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9561, kappa: 0.9112, kb_relative_information_score: 416.3571, mean_absolute_error: 0.0898, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9566, predictive_accuracy: 0.956, prior_entropy: 0.991, recall: 0.956, relative_absolute_error: 0.182, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.3779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.8822, kappa: 0.7658, kb_relative_information_score: 331.9501, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8968, predictive_accuracy: 0.882, prior_entropy: 0.991, recall: 0.882, relative_absolute_error: 0.3539, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2699, root_relative_squared_error: 0.5431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.8231, kappa: 0.6551, kb_relative_information_score: 293.9715, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8594, predictive_accuracy: 0.824, prior_entropy: 0.991, recall: 0.824, relative_absolute_error: 0.4462, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2862, root_relative_squared_error: 0.5761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 497.6944, mean_absolute_error: 0.003, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0061, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0125, root_relative_squared_error: 0.0252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 493.2189, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0179, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0273, root_relative_squared_error: 0.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 498.6684, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0035, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0092, root_relative_squared_error: 0.0185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 497.1706, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0073, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0205, root_relative_squared_error: 0.0413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9561, kappa: 0.9112, kb_relative_information_score: 425.555, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9566, predictive_accuracy: 0.956, prior_entropy: 0.991, recall: 0.956, relative_absolute_error: 0.1646, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.3448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 494.7838, mean_absolute_error: 0.0068, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0137, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0237, root_relative_squared_error: 0.0478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.962, kappa: 0.9229, kb_relative_information_score: 330.9636, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9621, predictive_accuracy: 0.962, prior_entropy: 0.991, recall: 0.962, relative_absolute_error: 0.4043, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.4482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 467.3041, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0746, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.112, root_relative_squared_error: 0.2255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9719, kappa: 0.9429, kb_relative_information_score: 220.6211, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9733, predictive_accuracy: 0.972, prior_entropy: 0.991, recall: 0.972, relative_absolute_error: 0.6324, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.325, root_relative_squared_error: 0.6541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 441.5858, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.1405, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.2561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 470.2804, mean_absolute_error: 0.0332, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9863, predictive_accuracy: 0.986, prior_entropy: 0.991, recall: 0.986, relative_absolute_error: 0.0672, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1107, root_relative_squared_error: 0.2227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 173.068, mean_absolute_error: 0.354, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.717, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.964, kappa: 0.9272, kb_relative_information_score: 444.8376, mean_absolute_error: 0.0584, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9642, predictive_accuracy: 0.964, prior_entropy: 0.991, recall: 0.964, relative_absolute_error: 0.1182, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.3133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 304.7322, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.4222, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 304.7322, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.4222, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 480.2736, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0484, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.07, root_relative_squared_error: 0.1408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.007, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 496.1339, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0103, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0173, root_relative_squared_error: 0.0349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9541, kappa: 0.9072, kb_relative_information_score: 406.0654, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9548, predictive_accuracy: 0.954, prior_entropy: 0.991, recall: 0.954, relative_absolute_error: 0.2019, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2022, root_relative_squared_error: 0.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.86, kappa: 0.7235, kb_relative_information_score: 317.4771, mean_absolute_error: 0.1919, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8818, predictive_accuracy: 0.86, prior_entropy: 0.991, recall: 0.86, relative_absolute_error: 0.3887, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.5559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.5376, mean_absolute_error: 0.0006, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0012, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0019, root_relative_squared_error: 0.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 489.371, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0276, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0408, root_relative_squared_error: 0.0821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.007, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.007, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 304.7322, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.4222, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, kb_relative_information_score: 0.007, mean_absolute_error: 0.4937, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 304.7322, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.4222, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.8678, kappa: 0.733, kb_relative_information_score: 304.7322, mean_absolute_error: 0.2085, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.896, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.4222, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6514,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9143, kappa: 0.8281, kb_relative_information_score: 324.3581, mean_absolute_error: 0.1908, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9207, predictive_accuracy: 0.914, prior_entropy: 0.991, recall: 0.914, relative_absolute_error: 0.3863, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2605, root_relative_squared_error: 0.5242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9561, kappa: 0.9112, kb_relative_information_score: 417.6, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9566, predictive_accuracy: 0.956, prior_entropy: 0.991, recall: 0.956, relative_absolute_error: 0.1812, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.3678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 485.4702, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0532, root_relative_squared_error: 0.107,

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