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: 0.9985, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 479.0189, mean_absolute_error: 0.0217, 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: 0.044, 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: 0.9934, f_measure: 0.9619, kappa: 0.9228, kb_relative_information_score: 226.8515, mean_absolute_error: 0.3052, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9622, predictive_accuracy: 0.962, prior_entropy: 0.991, recall: 0.962, relative_absolute_error: 0.618, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3206, root_relative_squared_error: 0.6453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 474.3493, mean_absolute_error: 0.0286, 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: 0.0579, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1045, root_relative_squared_error: 0.2103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.982, kappa: 0.9635, kb_relative_information_score: 479.2626, mean_absolute_error: 0.0214, 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: 0.0433, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.096, root_relative_squared_error: 0.1933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 498.6513, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0036, 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: 0.9986, f_measure: 0.982, kappa: 0.9634, kb_relative_information_score: 434.2435, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9826, predictive_accuracy: 0.982, prior_entropy: 0.991, recall: 0.982, relative_absolute_error: 0.1582, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1328, root_relative_squared_error: 0.2673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 442.7373, mean_absolute_error: 0.0685, 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: 0.1387, 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: 491.4616, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0224, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0321, root_relative_squared_error: 0.0647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 493.1412, mean_absolute_error: 0.0088, 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: 0.0311, root_relative_squared_error: 0.0626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 497.3288, mean_absolute_error: 0.0035, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0163, root_relative_squared_error: 0.0328,
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: 0.9998, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 477.7338, mean_absolute_error: 0.0241, 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: 0.0489, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.1926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 442.2609, mean_absolute_error: 0.0688, 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: 0.1393, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1235, root_relative_squared_error: 0.2485,
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: 499.7573, mean_absolute_error: 0.0003, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0006, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0014, root_relative_squared_error: 0.0029,
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: 0.4935, 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: 0.9979, f_measure: 0.982, kappa: 0.9634, kb_relative_information_score: 245.0141, mean_absolute_error: 0.2884, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9823, predictive_accuracy: 0.982, prior_entropy: 0.991, recall: 0.982, relative_absolute_error: 0.5841, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.6112,
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: 0.9988, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 440.8165, mean_absolute_error: 0.0702, 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: 0.1422, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.2566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 494.6777, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0139, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0265, root_relative_squared_error: 0.0533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9284, f_measure: 0.8309, kappa: 0.6568, kb_relative_information_score: 151.1695, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8422, predictive_accuracy: 0.834, prior_entropy: 0.991, recall: 0.834, relative_absolute_error: 0.7514, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.7751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.982, kappa: 0.9635, kb_relative_information_score: 474.7087, mean_absolute_error: 0.0273, 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: 0.0554, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1002, root_relative_squared_error: 0.2017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9719, kappa: 0.9429, kb_relative_information_score: 370.1804, mean_absolute_error: 0.1531, 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: 0.3101, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.3893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 476.3942, mean_absolute_error: 0.0252, 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: 0.0511, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1055, root_relative_squared_error: 0.2123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 480.9098, mean_absolute_error: 0.0204, 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: 0.0414, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.1802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9719, kappa: 0.9429, kb_relative_information_score: 361.9357, mean_absolute_error: 0.1625, 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: 0.329, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.201, root_relative_squared_error: 0.4044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 498.5765, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0038, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0093, root_relative_squared_error: 0.0187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9619, kappa: 0.9227, kb_relative_information_score: 344.1883, mean_absolute_error: 0.1819, 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: 0.3684, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9719, kappa: 0.9429, kb_relative_information_score: 425.3722, mean_absolute_error: 0.0882, 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: 0.1787, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.2929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 467.0443, mean_absolute_error: 0.0379, 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: 0.0767, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1101, root_relative_squared_error: 0.2216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 470.6682, mean_absolute_error: 0.0322, 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: 0.0651, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.11, root_relative_squared_error: 0.2214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9719, kappa: 0.9429, kb_relative_information_score: 299.3753, mean_absolute_error: 0.2336, 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: 0.4732, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.5108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9719, kappa: 0.9429, kb_relative_information_score: 401.1551, mean_absolute_error: 0.1162, 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: 0.2354, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.3365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 479.5742, mean_absolute_error: 0.0209, 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: 0.0424, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 483.6096, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0414, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0576, root_relative_squared_error: 0.116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9719, kappa: 0.9429, kb_relative_information_score: 368.3265, mean_absolute_error: 0.1548, 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: 0.3136, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.197, root_relative_squared_error: 0.3965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.96, kappa: 0.9191, kb_relative_information_score: 202.7273, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9602, predictive_accuracy: 0.96, prior_entropy: 0.991, recall: 0.96, relative_absolute_error: 0.6681, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.34, root_relative_squared_error: 0.6843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.8842, mean_absolute_error: 0.0001, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0002, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0009, root_relative_squared_error: 0.0018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 428.664, mean_absolute_error: 0.0853, 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: 0.1727, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.2852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9679, kappa: 0.9348, kb_relative_information_score: 174.9366, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9689, predictive_accuracy: 0.968, prior_entropy: 0.991, recall: 0.968, relative_absolute_error: 0.7202, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3637, root_relative_squared_error: 0.7319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 473.6551, mean_absolute_error: 0.0289, 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: 0.0585, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1046, root_relative_squared_error: 0.2106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9719, kappa: 0.9429, kb_relative_information_score: 426.8925, mean_absolute_error: 0.0871, 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: 0.1764, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1381, root_relative_squared_error: 0.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 447.9196, mean_absolute_error: 0.0617, 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: 0.125, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1228, root_relative_squared_error: 0.2472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 473.5553, mean_absolute_error: 0.0293, 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: 0.0593, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1048, root_relative_squared_error: 0.2108,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 490.7014, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, relative_absolute_error: 0.0243, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0363, root_relative_squared_error: 0.073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5964, kb_relative_information_score: 3.5015, mean_absolute_error: 0.491, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4968, root_relative_squared_error: 0.9999,
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: 0.9922, f_measure: 0.9003, kappa: 0.8007, kb_relative_information_score: 368.4806, mean_absolute_error: 0.1357, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9099, predictive_accuracy: 0.9, prior_entropy: 0.991, recall: 0.9, relative_absolute_error: 0.2748, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.4945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 470.7692, mean_absolute_error: 0.0333, 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: 0.0673, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.2204,

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