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: 0.5, kb_relative_information_score: 47.8864, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7142, f_measure: 0.7179, kappa: 0.4286, kb_relative_information_score: 212.8335, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7179, predictive_accuracy: 0.718, prior_entropy: 0.991, recall: 0.718, relative_absolute_error: 0.5711, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.531, root_relative_squared_error: 1.0688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.9311, kappa: 0.8601, kb_relative_information_score: 430.7266, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9394, predictive_accuracy: 0.932, prior_entropy: 0.991, recall: 0.932, relative_absolute_error: 0.1377, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.5248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.996, kappa: 0.9919, kb_relative_information_score: 495.8908, mean_absolute_error: 0.004, 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: 0.0081, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.1273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.994, kappa: 0.9878, kb_relative_information_score: 493.8545, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9941, predictive_accuracy: 0.994, prior_entropy: 0.991, recall: 0.994, relative_absolute_error: 0.0122, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.1559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 47.8864, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.9658, kappa: 0.9306, kb_relative_information_score: 465.3451, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.968, predictive_accuracy: 0.966, prior_entropy: 0.991, recall: 0.966, relative_absolute_error: 0.0689, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.3711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.998, kappa: 0.9959, kb_relative_information_score: 497.9272, mean_absolute_error: 0.002, 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: 0.0041, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0447, root_relative_squared_error: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8519, f_measure: 0.854, kappa: 0.7042, kb_relative_information_score: 351.3076, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8539, predictive_accuracy: 0.854, prior_entropy: 0.991, recall: 0.854, relative_absolute_error: 0.2957, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3821, root_relative_squared_error: 0.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 47.8864, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 47.8864, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.998, kappa: 0.9959, kb_relative_information_score: 497.9272, mean_absolute_error: 0.002, 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: 0.0041, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0447, root_relative_squared_error: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 47.8864, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8353, f_measure: 0.8362, kappa: 0.6687, kb_relative_information_score: 332.9801, mean_absolute_error: 0.164, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8366, predictive_accuracy: 0.836, prior_entropy: 0.991, recall: 0.836, relative_absolute_error: 0.3321, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.405, root_relative_squared_error: 0.8151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 47.8864, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 47.8864, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8176, f_measure: 0.8287, kappa: 0.6539, kb_relative_information_score: 330.9438, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.853, predictive_accuracy: 0.834, prior_entropy: 0.991, recall: 0.834, relative_absolute_error: 0.3362, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7943, f_measure: 0.7992, kappa: 0.5923, kb_relative_information_score: 296.3252, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7997, predictive_accuracy: 0.8, prior_entropy: 0.991, recall: 0.8, relative_absolute_error: 0.4051, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4472, root_relative_squared_error: 0.9001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5766, f_measure: 0.5334, kappa: 0.1674, kb_relative_information_score: 117.1235, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7757, predictive_accuracy: 0.624, prior_entropy: 0.991, recall: 0.624, relative_absolute_error: 0.7615, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6132, root_relative_squared_error: 1.2341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5135, f_measure: 0.4238, kappa: 0.03, kb_relative_information_score: 60.1047, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7569, predictive_accuracy: 0.568, prior_entropy: 0.991, recall: 0.568, relative_absolute_error: 0.8749, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6573, root_relative_squared_error: 1.3229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.8712, kappa: 0.7384, kb_relative_information_score: 369.635, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8733, predictive_accuracy: 0.872, prior_entropy: 0.991, recall: 0.872, relative_absolute_error: 0.2592, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3578, root_relative_squared_error: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.978, kappa: 0.9555, kb_relative_information_score: 477.5634, mean_absolute_error: 0.022, 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: 0.0446, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.2985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7277, f_measure: 0.733, kappa: 0.458, kb_relative_information_score: 229.1246, mean_absolute_error: 0.266, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7331, predictive_accuracy: 0.734, prior_entropy: 0.991, recall: 0.734, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5158, root_relative_squared_error: 1.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.9658, kappa: 0.9306, kb_relative_information_score: 465.3451, mean_absolute_error: 0.034, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.968, predictive_accuracy: 0.966, prior_entropy: 0.991, recall: 0.966, relative_absolute_error: 0.0689, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.3711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.8613, kappa: 0.7201, kb_relative_information_score: 363.5259, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.892, predictive_accuracy: 0.866, prior_entropy: 0.991, recall: 0.866, relative_absolute_error: 0.2714, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.743, f_measure: 0.7475, kappa: 0.4877, kb_relative_information_score: 243.3793, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7473, predictive_accuracy: 0.748, prior_entropy: 0.991, recall: 0.748, relative_absolute_error: 0.5104, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 491.8181, mean_absolute_error: 0.008, 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: 0.0162, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8879, f_measure: 0.8881, kappa: 0.7738, kb_relative_information_score: 385.9261, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8885, predictive_accuracy: 0.888, prior_entropy: 0.991, recall: 0.888, relative_absolute_error: 0.2268, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3347, root_relative_squared_error: 0.6736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.996, kappa: 0.9919, kb_relative_information_score: 495.8908, mean_absolute_error: 0.004, 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: 0.0081, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.1273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.978, kappa: 0.9554, kb_relative_information_score: 477.5634, mean_absolute_error: 0.022, 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: 0.0446, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1483, root_relative_squared_error: 0.2985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 47.8864, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1934, f_measure: 0.2031, kappa: -0.6188, kb_relative_information_score: -306.4444, mean_absolute_error: 0.792, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.1987, predictive_accuracy: 0.208, prior_entropy: 0.991, recall: 0.208, relative_absolute_error: 1.604, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.8899, root_relative_squared_error: 1.7912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.7197, kappa: 0.4319, kb_relative_information_score: 214.8699, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7195, predictive_accuracy: 0.72, prior_entropy: 0.991, recall: 0.72, relative_absolute_error: 0.5671, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.998, kappa: 0.9959, kb_relative_information_score: 497.9272, mean_absolute_error: 0.002, 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: 0.0041, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0447, root_relative_squared_error: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.996, kappa: 0.9919, kb_relative_information_score: 495.8908, mean_absolute_error: 0.004, 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: 0.0081, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.1273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7763, f_measure: 0.7798, kappa: 0.5536, kb_relative_information_score: 275.9614, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7797, predictive_accuracy: 0.78, prior_entropy: 0.991, recall: 0.78, relative_absolute_error: 0.4456, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.469, root_relative_squared_error: 0.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 47.8864, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9842, f_measure: 0.986, kappa: 0.9716, kb_relative_information_score: 485.7089, mean_absolute_error: 0.014, 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: 0.0284, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.2381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 47.8864, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7223, f_measure: 0.7259, kappa: 0.4448, kb_relative_information_score: 220.979, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7259, predictive_accuracy: 0.726, prior_entropy: 0.991, recall: 0.726, relative_absolute_error: 0.5549, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5235, root_relative_squared_error: 1.0535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.998, kappa: 0.9959, kb_relative_information_score: 497.9272, mean_absolute_error: 0.002, 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: 0.0041, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0447, root_relative_squared_error: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.998, kappa: 0.996, kb_relative_information_score: 497.9272, mean_absolute_error: 0.002, 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: 0.0041, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0447, root_relative_squared_error: 0.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6813, f_measure: 0.687, kappa: 0.3646, kb_relative_information_score: 182.2877, mean_absolute_error: 0.312, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6867, predictive_accuracy: 0.688, prior_entropy: 0.991, recall: 0.688, relative_absolute_error: 0.6319, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5586, root_relative_squared_error: 1.1242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.972, kappa: 0.9433, kb_relative_information_score: 471.4542, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.972, predictive_accuracy: 0.972, prior_entropy: 0.991, recall: 0.972, relative_absolute_error: 0.0567, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.3368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8695, f_measure: 0.8735, kappa: 0.7433, kb_relative_information_score: 371.6714, mean_absolute_error: 0.126, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8743, predictive_accuracy: 0.874, prior_entropy: 0.991, recall: 0.874, relative_absolute_error: 0.2552, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.355, root_relative_squared_error: 0.7144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 47.8864, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.8998, kappa: 0.7969, kb_relative_information_score: 398.1444, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9, predictive_accuracy: 0.9, prior_entropy: 0.991, recall: 0.9, relative_absolute_error: 0.2025, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.6365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 47.8864, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.97, kappa: 0.9393, kb_relative_information_score: 469.4179, mean_absolute_error: 0.03, 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: 0.0608, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.3486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7506, f_measure: 0.7566, kappa: 0.5056, kb_relative_information_score: 253.5612, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7574, predictive_accuracy: 0.758, prior_entropy: 0.991, recall: 0.758, relative_absolute_error: 0.4901, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.988, kappa: 0.9757, kb_relative_information_score: 487.7453, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.988, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0243, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.2205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3656, f_measure: 0.331, kappa: -0.2865, kb_relative_information_score: -106.8788, mean_absolute_error: 0.596, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.2904, predictive_accuracy: 0.404, prior_entropy: 0.991, recall: 0.404, relative_absolute_error: 1.2071, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.772, root_relative_squared_error: 1.5538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6696, f_measure: 0.6761, kappa: 0.3421, kb_relative_information_score: 172.1058, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6762, predictive_accuracy: 0.678, prior_entropy: 0.991, recall: 0.678, relative_absolute_error: 0.6521, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5675, root_relative_squared_error: 1.1421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.8414, kappa: 0.6811, kb_relative_information_score: 345.1984, mean_absolute_error: 0.152, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8806, predictive_accuracy: 0.848, prior_entropy: 0.991, recall: 0.848, relative_absolute_error: 0.3078, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.7847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8958, kappa: 0.7888, kb_relative_information_score: 394.0717, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8959, predictive_accuracy: 0.896, prior_entropy: 0.991, recall: 0.896, relative_absolute_error: 0.2106, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.954, kappa: 0.907, kb_relative_information_score: 453.1268, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9543, predictive_accuracy: 0.954, prior_entropy: 0.991, recall: 0.954, relative_absolute_error: 0.0932, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.4317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.988, kappa: 0.9757, kb_relative_information_score: 487.7453, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.988, predictive_accuracy: 0.988, prior_entropy: 0.991, recall: 0.988, relative_absolute_error: 0.0243, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1095, root_relative_squared_error: 0.2205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9699, kappa: 0.9388, kb_relative_information_score: 469.4179, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9715, predictive_accuracy: 0.97, prior_entropy: 0.991, recall: 0.97, relative_absolute_error: 0.0608, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1732, root_relative_squared_error: 0.3486,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.99, kappa: 0.9797, kb_relative_information_score: 489.7817, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9902, predictive_accuracy: 0.99, prior_entropy: 0.991, recall: 0.99, relative_absolute_error: 0.0203, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1, root_relative_squared_error: 0.2013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 47.8864, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.996, kappa: 0.9919, kb_relative_information_score: 495.8908, mean_absolute_error: 0.004, 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: 0.0081, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.1273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.8369, kappa: 0.6687, kb_relative_information_score: 335.0165, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8389, predictive_accuracy: 0.838, prior_entropy: 0.991, recall: 0.838, relative_absolute_error: 0.3281, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.8375, kappa: 0.6702, kb_relative_information_score: 335.0165, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8379, predictive_accuracy: 0.838, prior_entropy: 0.991, recall: 0.838, relative_absolute_error: 0.3281, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.8101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.9678, kappa: 0.9347, kb_relative_information_score: 467.3815, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9697, predictive_accuracy: 0.968, prior_entropy: 0.991, recall: 0.968, relative_absolute_error: 0.0648, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.36,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 47.8864, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4938, number_of_instances: 500, predictive_accuracy: 0.556, prior_entropy: 0.991, recall: 0.556, relative_absolute_error: 0.8992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6663, root_relative_squared_error: 1.3411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9505, f_measure: 0.9557, kappa: 0.91, kb_relative_information_score: 455.1632, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9592, predictive_accuracy: 0.956, prior_entropy: 0.991, recall: 0.956, relative_absolute_error: 0.0891, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 499.9636, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.991, recall: 1, root_mean_prior_squared_error: 0.4969,

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