OpenML
Supervised Classification on irish

Supervised Classification on irish

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

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 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: 0.8604, f_measure: 0.8653, kappa: 0.7265, kb_relative_information_score: 363.5259, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8667, 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: 0.6733, f_measure: 0.6748, kappa: 0.3442, kb_relative_information_score: 168.033, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6768, predictive_accuracy: 0.674, prior_entropy: 0.991, recall: 0.674, relative_absolute_error: 0.6602, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.571, root_relative_squared_error: 1.1492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1898, f_measure: 0.2, kappa: -0.6203, kb_relative_information_score: -314.5899, mean_absolute_error: 0.8, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.2, predictive_accuracy: 0.2, prior_entropy: 0.991, recall: 0.2, relative_absolute_error: 1.6202, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.8944, root_relative_squared_error: 1.8002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9856, 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: 0.986, 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: 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: 0.9887, 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: 0.9388, f_measure: 0.9381, kappa: 0.8748, kb_relative_information_score: 436.8357, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9385, predictive_accuracy: 0.938, prior_entropy: 0.991, recall: 0.938, relative_absolute_error: 0.1256, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.249, root_relative_squared_error: 0.5011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, 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: 0.5, 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: 0.7156, f_measure: 0.7149, kappa: 0.4267, kb_relative_information_score: 208.7607, mean_absolute_error: 0.286, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7188, predictive_accuracy: 0.714, prior_entropy: 0.991, recall: 0.714, relative_absolute_error: 0.5792, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5348, root_relative_squared_error: 1.0764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, f_measure: 0.7886, kappa: 0.5801, kb_relative_information_score: 298.3616, mean_absolute_error: 0.198, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.854, predictive_accuracy: 0.802, prior_entropy: 0.991, recall: 0.802, relative_absolute_error: 0.401, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.445, root_relative_squared_error: 0.8956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, 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: 0.9541, 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: 0.9617, 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: 0.5383, f_measure: 0.4694, kappa: 0.0844, kb_relative_information_score: 82.5049, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.764, predictive_accuracy: 0.59, prior_entropy: 0.991, recall: 0.59, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6403, root_relative_squared_error: 1.2887,
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: 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: 0.9887, 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: 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: 0.9572, f_measure: 0.9618, kappa: 0.9224, kb_relative_information_score: 461.2723, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9644, predictive_accuracy: 0.962, prior_entropy: 0.991, recall: 0.962, relative_absolute_error: 0.077, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.3923,
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: 0.8555, f_measure: 0.8562, kappa: 0.7091, kb_relative_information_score: 353.344, mean_absolute_error: 0.144, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8566, predictive_accuracy: 0.856, prior_entropy: 0.991, recall: 0.856, relative_absolute_error: 0.2916, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.9332, kappa: 0.8643, kb_relative_information_score: 432.7629, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.941, predictive_accuracy: 0.934, prior_entropy: 0.991, recall: 0.934, relative_absolute_error: 0.1337, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1997, f_measure: 0.2098, kappa: -0.6008, kb_relative_information_score: -304.408, mean_absolute_error: 0.79, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.2096, predictive_accuracy: 0.21, prior_entropy: 0.991, recall: 0.21, relative_absolute_error: 1.6, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.8888, root_relative_squared_error: 1.7889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, 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: 0.992, 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: 0.986, f_measure: 0.986, kappa: 0.9717, kb_relative_information_score: 485.7089, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.986, 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: 0.5, 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: 0.6908, f_measure: 0.6942, kappa: 0.3811, kb_relative_information_score: 188.3969, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6944, predictive_accuracy: 0.694, prior_entropy: 0.991, recall: 0.694, relative_absolute_error: 0.6197, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5532, root_relative_squared_error: 1.1134,
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: 0.246, f_measure: 0.2456, kappa: -0.5235, kb_relative_information_score: -243.3165, mean_absolute_error: 0.73, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.2273, predictive_accuracy: 0.27, prior_entropy: 0.991, recall: 0.27, relative_absolute_error: 1.4785, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.8544, root_relative_squared_error: 1.7196,
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: 0.6066, f_measure: 0.6105, kappa: 0.2126, kb_relative_information_score: 102.8688, mean_absolute_error: 0.39, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6113, predictive_accuracy: 0.61, prior_entropy: 0.991, recall: 0.61, relative_absolute_error: 0.7899, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6245, root_relative_squared_error: 1.2569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7142, f_measure: 0.7192, kappa: 0.4303, kb_relative_information_score: 214.8699, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7191, 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: 0.9955, 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: 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: 0.991, 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: 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: 0.188, f_measure: 0.1982, kappa: -0.6236, kb_relative_information_score: -316.6263, mean_absolute_error: 0.802, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.1984, predictive_accuracy: 0.198, prior_entropy: 0.991, recall: 0.198, relative_absolute_error: 1.6243, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.8955, root_relative_squared_error: 1.8024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.9221, kappa: 0.8425, kb_relative_information_score: 420.5446, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9226, predictive_accuracy: 0.922, prior_entropy: 0.991, recall: 0.922, relative_absolute_error: 0.158, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.5621,
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: 0.6832, f_measure: 0.683, kappa: 0.3626, kb_relative_information_score: 176.1786, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6868, predictive_accuracy: 0.682, prior_entropy: 0.991, recall: 0.682, relative_absolute_error: 0.644, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5639, root_relative_squared_error: 1.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6732, f_measure: 0.6778, kappa: 0.3469, kb_relative_information_score: 172.1058, mean_absolute_error: 0.322, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6776, 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: 0.9127, f_measure: 0.914, kappa: 0.8257, kb_relative_information_score: 412.3991, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.914, predictive_accuracy: 0.914, prior_entropy: 0.991, recall: 0.914, relative_absolute_error: 0.1742, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2933, root_relative_squared_error: 0.5902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.568, f_measure: 0.5213, kappa: 0.1489, kb_relative_information_score: 108.9779, mean_absolute_error: 0.384, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7592, predictive_accuracy: 0.616, prior_entropy: 0.991, recall: 0.616, relative_absolute_error: 0.7777, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6197, root_relative_squared_error: 1.2472,
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: 0.7075, f_measure: 0.7103, kappa: 0.414, kb_relative_information_score: 204.688, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7107, predictive_accuracy: 0.71, prior_entropy: 0.991, recall: 0.71, relative_absolute_error: 0.5873, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5385, root_relative_squared_error: 1.0839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7617, f_measure: 0.7725, kappa: 0.547, kb_relative_information_score: 282.0705, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8285, predictive_accuracy: 0.786, prior_entropy: 0.991, recall: 0.786, relative_absolute_error: 0.4334, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9311,
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: 0.937, f_measure: 0.9361, kappa: 0.8708, kb_relative_information_score: 434.7993, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9367, predictive_accuracy: 0.936, prior_entropy: 0.991, recall: 0.936, relative_absolute_error: 0.1296, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.253, root_relative_squared_error: 0.5092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.928, kappa: 0.8543, kb_relative_information_score: 426.6538, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9281, predictive_accuracy: 0.928, prior_entropy: 0.991, recall: 0.928, relative_absolute_error: 0.1458, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.5401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.9361, kappa: 0.8708, kb_relative_information_score: 434.7993, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9367, predictive_accuracy: 0.936, prior_entropy: 0.991, recall: 0.936, relative_absolute_error: 0.1296, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.253, root_relative_squared_error: 0.5092,
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: 0.7039, f_measure: 0.7064, kappa: 0.4064, kb_relative_information_score: 200.6152, mean_absolute_error: 0.294, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7071, predictive_accuracy: 0.706, prior_entropy: 0.991, recall: 0.706, relative_absolute_error: 0.5954, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5422, root_relative_squared_error: 1.0913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7081, f_measure: 0.7125, kappa: 0.4415, kb_relative_information_score: 235.2337, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8146, predictive_accuracy: 0.74, prior_entropy: 0.991, recall: 0.74, relative_absolute_error: 0.5266, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, f_measure: 0.6902, kappa: 0.373, kb_relative_information_score: 184.3241, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6904, predictive_accuracy: 0.69, prior_entropy: 0.991, recall: 0.69, relative_absolute_error: 0.6278, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.7242, kappa: 0.442, kb_relative_information_score: 218.9426, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7246, predictive_accuracy: 0.724, prior_entropy: 0.991, recall: 0.724, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5254, root_relative_squared_error: 1.0574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.1844, f_measure: 0.1945, kappa: -0.6303, kb_relative_information_score: -320.6991, mean_absolute_error: 0.806, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.195, predictive_accuracy: 0.194, prior_entropy: 0.991, recall: 0.194, relative_absolute_error: 1.6324, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.8978, root_relative_squared_error: 1.8069,
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: 0.9887, 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: 0.9838, f_measure: 0.984, kappa: 0.9676, kb_relative_information_score: 483.6725, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 0.991, recall: 0.984, relative_absolute_error: 0.0324, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1265, root_relative_squared_error: 0.2546,
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: 0.9203, f_measure: 0.9201, kappa: 0.8384, kb_relative_information_score: 418.5083, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9205, predictive_accuracy: 0.92, prior_entropy: 0.991, recall: 0.92, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.5693,
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: 0.9662, 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: 0.7146, f_measure: 0.7181, kappa: 0.4291, kb_relative_information_score: 212.8335, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7181, 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: 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: 0.9392, f_measure: 0.9455, kappa: 0.8893, kb_relative_information_score: 444.9813, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9508, predictive_accuracy: 0.946, prior_entropy: 0.991, recall: 0.946, relative_absolute_error: 0.1094, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4677,
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: 0.9266, f_measure: 0.9261, kappa: 0.8506, kb_relative_information_score: 424.6174, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9266, predictive_accuracy: 0.926, prior_entropy: 0.991, recall: 0.926, relative_absolute_error: 0.1499, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.272, root_relative_squared_error: 0.5475,
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: 0.9977, 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: 0.9977, 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: 0.9924, 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: 0.992, 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,

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