Task
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: 0.9939, f_measure: 0.9242, kappa: 0.8477, kb_relative_information_score: 379.4469, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9287, predictive_accuracy: 0.924, prior_entropy: 0.991, recall: 0.924, relative_absolute_error: 0.2531, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.4725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9561, kappa: 0.9112, kb_relative_information_score: 414.7, mean_absolute_error: 0.0924, 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: 0.1872, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.3758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.002, 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: 0.0027, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0042, root_relative_squared_error: 0.0085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.982, kappa: 0.9635, kb_relative_information_score: 476.358, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9822, predictive_accuracy: 0.982, prior_entropy: 0.991, recall: 0.982, relative_absolute_error: 0.0507, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1023, root_relative_squared_error: 0.2059,
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: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 498.7475, 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: 0.0034, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0053, root_relative_squared_error: 0.0107,
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: 499.2237, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.002, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0033, root_relative_squared_error: 0.0066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 458.2899, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9921, predictive_accuracy: 0.992, prior_entropy: 0.991, recall: 0.992, relative_absolute_error: 0.105, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.091, root_relative_squared_error: 0.1831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.978, kappa: 0.9554, kb_relative_information_score: 452.0628, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.978, predictive_accuracy: 0.978, prior_entropy: 0.991, recall: 0.978, relative_absolute_error: 0.1085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1287, root_relative_squared_error: 0.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9242, kappa: 0.8477, kb_relative_information_score: 370.0635, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9287, predictive_accuracy: 0.924, prior_entropy: 0.991, recall: 0.924, relative_absolute_error: 0.2789, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.4719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9621, kappa: 0.9233, kb_relative_information_score: 449.5105, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9625, predictive_accuracy: 0.962, prior_entropy: 0.991, recall: 0.962, relative_absolute_error: 0.1138, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.2681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 495.4579, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0121, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0202, root_relative_squared_error: 0.0406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 498.5133, 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: 0.004, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0069, root_relative_squared_error: 0.0138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 498.4089, 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: 0.0043, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0074, root_relative_squared_error: 0.0148,
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: 0.9969, f_measure: 0.9579, kappa: 0.9147, kb_relative_information_score: 342.3673, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9581, predictive_accuracy: 0.958, prior_entropy: 0.991, recall: 0.958, relative_absolute_error: 0.3768, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.4312,
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: 0.9964, f_measure: 0.9561, kappa: 0.9112, kb_relative_information_score: 420.4929, mean_absolute_error: 0.0865, 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: 0.1752, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1787, root_relative_squared_error: 0.3596,
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: 0.9983, f_measure: 0.9581, kappa: 0.9152, kb_relative_information_score: 439.4055, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9585, predictive_accuracy: 0.958, prior_entropy: 0.991, recall: 0.958, relative_absolute_error: 0.1353, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.3017,
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: 0.4935, 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: 0.9987, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 429.2164, mean_absolute_error: 0.0844, 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: 0.1709, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1385, root_relative_squared_error: 0.2787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 478.4661, mean_absolute_error: 0.0224, 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: 0.0454, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1034, root_relative_squared_error: 0.2081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.954, kappa: 0.907, kb_relative_information_score: 157.6895, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9541, predictive_accuracy: 0.954, prior_entropy: 0.991, recall: 0.954, relative_absolute_error: 0.7508, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.7614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 498.5345, 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: 0.004, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0039, root_relative_squared_error: 0.0078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9621, kappa: 0.9233, kb_relative_information_score: 447.6354, mean_absolute_error: 0.0581, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9625, predictive_accuracy: 0.962, prior_entropy: 0.991, recall: 0.962, relative_absolute_error: 0.1176, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.2749,
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: 0.9987, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 458.2494, mean_absolute_error: 0.0487, 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: 0.0985, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1144, root_relative_squared_error: 0.2303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 482.7186, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0429, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0633, root_relative_squared_error: 0.1274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 478.2664, mean_absolute_error: 0.0231, 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: 0.0467, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.2069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 498.4907, 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: 0.0064, root_relative_squared_error: 0.0129,
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: 0.9987, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 470.4971, mean_absolute_error: 0.0329, 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: 0.0667, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.2222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 452.4659, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9921, predictive_accuracy: 0.992, prior_entropy: 0.991, recall: 0.992, relative_absolute_error: 0.1155, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1093, root_relative_squared_error: 0.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 470.9843, mean_absolute_error: 0.032, 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: 0.0649, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1099, root_relative_squared_error: 0.2212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.0904, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0024, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0038, root_relative_squared_error: 0.0077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.8822, kappa: 0.7658, kb_relative_information_score: 330.7222, mean_absolute_error: 0.1762, 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: 0.3568, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2704, root_relative_squared_error: 0.5443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.996, kappa: 0.9919, kb_relative_information_score: 487.4642, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 0.991, recall: 0.996, relative_absolute_error: 0.0299, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9143, kappa: 0.8281, kb_relative_information_score: 339.6881, mean_absolute_error: 0.1723, 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: 0.349, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.253, root_relative_squared_error: 0.5091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 497.1529, mean_absolute_error: 0.0038, 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: 0.013, root_relative_squared_error: 0.0261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.982, kappa: 0.9635, kb_relative_information_score: 479.8647, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.982, predictive_accuracy: 0.982, prior_entropy: 0.991, recall: 0.982, relative_absolute_error: 0.042, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0948, root_relative_squared_error: 0.1908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.988, kappa: 0.9756, kb_relative_information_score: 481.8777, mean_absolute_error: 0.0203, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9883, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0411, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.1592,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 470.0769, mean_absolute_error: 0.0334, 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: 0.0677, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.2189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9719, kappa: 0.9429, kb_relative_information_score: 264.4523, mean_absolute_error: 0.2705, 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: 0.5479, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2845, root_relative_squared_error: 0.5727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 471.1917, mean_absolute_error: 0.0329, 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: 0.0665, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1125, root_relative_squared_error: 0.2264,
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: 0.9988, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 468.9166, mean_absolute_error: 0.0348, 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: 0.0704, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1101, root_relative_squared_error: 0.2215,
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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: 0.8203, 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: 497.8946, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0057, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0097, root_relative_squared_error: 0.0195,
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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: 0.9982, f_measure: 0.9581, kappa: 0.9152, kb_relative_information_score: 436.8993, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9585, predictive_accuracy: 0.958, prior_entropy: 0.991, recall: 0.958, relative_absolute_error: 0.1406, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.3098,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.8681, kappa: 0.7388, kb_relative_information_score: 325.759, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8872, predictive_accuracy: 0.868, prior_entropy: 0.991, recall: 0.868, relative_absolute_error: 0.3686, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2727, root_relative_squared_error: 0.5488,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 470.5648, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0704, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.092, root_relative_squared_error: 0.1852,
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: 0.9996, f_measure: 0.99, kappa: 0.9798, kb_relative_information_score: 457.9335, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9901, predictive_accuracy: 0.99, prior_entropy: 0.991, recall: 0.99, relative_absolute_error: 0.0965, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1177, root_relative_squared_error: 0.237,
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: 497.743, mean_absolute_error: 0.0029, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0059, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.0306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 493.7016, mean_absolute_error: 0.0081, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0163, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0302, root_relative_squared_error: 0.0607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.5318, 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,
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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,
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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: 0.9981, f_measure: 0.9719, kappa: 0.9429, kb_relative_information_score: 403.9539, mean_absolute_error: 0.1142, 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: 0.2313, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1604, root_relative_squared_error: 0.3229,

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