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: 0.8816, f_measure: 0.8856, kappa: 0.7677, kb_relative_information_score: 383.8897, mean_absolute_error: 0.114, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8864, predictive_accuracy: 0.886, prior_entropy: 0.991, recall: 0.886, relative_absolute_error: 0.2309, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3376, root_relative_squared_error: 0.6796,
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: 0.9811, f_measure: 0.982, kappa: 0.9635, kb_relative_information_score: 481.6362, mean_absolute_error: 0.018, 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: 0.0365, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.27,
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: 0.8875, f_measure: 0.8899, kappa: 0.7767, kb_relative_information_score: 387.9625, mean_absolute_error: 0.11, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8899, predictive_accuracy: 0.89, prior_entropy: 0.991, recall: 0.89, relative_absolute_error: 0.2228, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3317, root_relative_squared_error: 0.6675,
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: 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: 0.991, 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: 0.9302, f_measure: 0.9373, kappa: 0.8726, kb_relative_information_score: 436.8357, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9442, 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: 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: 0.7619, f_measure: 0.7671, kappa: 0.5271, kb_relative_information_score: 263.7431, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7674, predictive_accuracy: 0.768, prior_entropy: 0.991, recall: 0.768, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4817, root_relative_squared_error: 0.9694,
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: 0.693, f_measure: 0.6963, kappa: 0.3854, kb_relative_information_score: 190.4333, mean_absolute_error: 0.304, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6966, predictive_accuracy: 0.696, prior_entropy: 0.991, recall: 0.696, relative_absolute_error: 0.6157, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5514, root_relative_squared_error: 1.1097,
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: 0.9842, 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: 0.2159, f_measure: 0.2258, kappa: -0.5684, kb_relative_information_score: -288.1169, mean_absolute_error: 0.774, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.2256, predictive_accuracy: 0.226, prior_entropy: 0.991, recall: 0.226, relative_absolute_error: 1.5676, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.8798, root_relative_squared_error: 1.7707,
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: 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: 0.7201, f_measure: 0.7224, kappa: 0.4387, kb_relative_information_score: 216.9063, mean_absolute_error: 0.278, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7231, predictive_accuracy: 0.722, prior_entropy: 0.991, recall: 0.722, relative_absolute_error: 0.563, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5273, root_relative_squared_error: 1.0612,
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: 0.8546, f_measure: 0.8623, kappa: 0.7202, kb_relative_information_score: 361.4895, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.869, predictive_accuracy: 0.864, prior_entropy: 0.991, recall: 0.864, relative_absolute_error: 0.2754, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3688, root_relative_squared_error: 0.7422,
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: 0.9392, 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: 0.5068, f_measure: 0.4107, kappa: 0.015, kb_relative_information_score: 53.9956, mean_absolute_error: 0.438, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.755, predictive_accuracy: 0.562, prior_entropy: 0.991, recall: 0.562, relative_absolute_error: 0.8871, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6618, root_relative_squared_error: 1.332,
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: 0.6922, f_measure: 0.6945, kappa: 0.3827, kb_relative_information_score: 188.3969, mean_absolute_error: 0.306, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6955, 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: 0.7196, f_measure: 0.725, kappa: 0.4417, kb_relative_information_score: 220.979, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.725, 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: 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: 0.9068, f_measure: 0.908, kappa: 0.8137, kb_relative_information_score: 406.29, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.908, predictive_accuracy: 0.908, prior_entropy: 0.991, recall: 0.908, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3033, root_relative_squared_error: 0.6105,
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: 0.9591, f_measure: 0.9581, kappa: 0.9152, kb_relative_information_score: 457.1996, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9585, predictive_accuracy: 0.958, prior_entropy: 0.991, recall: 0.958, relative_absolute_error: 0.0851, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.4125,
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: 0.9627, f_measure: 0.962, kappa: 0.9232, kb_relative_information_score: 461.2723, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9623, 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: 0.8051, f_measure: 0.8079, kappa: 0.6108, kb_relative_information_score: 304.4708, mean_absolute_error: 0.192, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8078, predictive_accuracy: 0.808, prior_entropy: 0.991, recall: 0.808, relative_absolute_error: 0.3889, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4382, root_relative_squared_error: 0.8819,
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: 0.747, f_measure: 0.7515, kappa: 0.4959, kb_relative_information_score: 247.452, mean_absolute_error: 0.248, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7514, predictive_accuracy: 0.752, prior_entropy: 0.991, recall: 0.752, relative_absolute_error: 0.5023, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.498, root_relative_squared_error: 1.0023,
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: 0.9244, f_measure: 0.9241, kappa: 0.8465, kb_relative_information_score: 422.581, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9245, predictive_accuracy: 0.924, prior_entropy: 0.991, recall: 0.924, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.5549,
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: 0.6723, f_measure: 0.6761, kappa: 0.3444, kb_relative_information_score: 170.0694, mean_absolute_error: 0.324, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.6763, predictive_accuracy: 0.676, prior_entropy: 0.991, recall: 0.676, relative_absolute_error: 0.6562, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5692, root_relative_squared_error: 1.1456,
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: 0.7021, f_measure: 0.7045, kappa: 0.4026, kb_relative_information_score: 198.5788, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7053, predictive_accuracy: 0.704, prior_entropy: 0.991, recall: 0.704, relative_absolute_error: 0.5995, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5441, root_relative_squared_error: 1.095,
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: 0.8524, f_measure: 0.854, kappa: 0.7044, kb_relative_information_score: 351.3076, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8541, 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: 0.9221, f_measure: 0.9221, kappa: 0.8424, kb_relative_information_score: 420.5446, mean_absolute_error: 0.078, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9223, 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: 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: 0.7029, f_measure: 0.7076, kappa: 0.407, kb_relative_information_score: 202.6516, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7073, predictive_accuracy: 0.708, prior_entropy: 0.991, recall: 0.708, relative_absolute_error: 0.5914, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5404, root_relative_squared_error: 1.0876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9739, kappa: 0.947, kb_relative_information_score: 473.4906, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9752, predictive_accuracy: 0.974, prior_entropy: 0.991, recall: 0.974, relative_absolute_error: 0.0527, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1612, root_relative_squared_error: 0.3245,
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: 0.9703, 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: 0.9924, 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: 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: 0.9528, f_measure: 0.9521, kappa: 0.903, kb_relative_information_score: 451.0904, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9524, predictive_accuracy: 0.952, prior_entropy: 0.991, recall: 0.952, relative_absolute_error: 0.0972, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2191, root_relative_squared_error: 0.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.8542, kappa: 0.7052, kb_relative_information_score: 351.3076, mean_absolute_error: 0.146, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.8547, 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: 0.9901, f_measure: 0.99, kappa: 0.9798, kb_relative_information_score: 489.7817, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.99, 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: 0.933, f_measure: 0.9321, kappa: 0.8628, kb_relative_information_score: 430.7266, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9327, 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: 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: 0.2159, f_measure: 0.2258, kappa: -0.5684, kb_relative_information_score: -288.1169, mean_absolute_error: 0.774, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.2256, predictive_accuracy: 0.226, prior_entropy: 0.991, recall: 0.226, relative_absolute_error: 1.5676, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.8798, root_relative_squared_error: 1.7707,
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: 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: 0.5455, f_measure: 0.4839, kappa: 0.1001, kb_relative_information_score: 88.6141, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.746, predictive_accuracy: 0.596, prior_entropy: 0.991, recall: 0.596, relative_absolute_error: 0.8182, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.6356, root_relative_squared_error: 1.2793,
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: 0.7871, f_measure: 0.79, kappa: 0.5745, kb_relative_information_score: 286.1433, mean_absolute_error: 0.21, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.7899, predictive_accuracy: 0.79, prior_entropy: 0.991, recall: 0.79, relative_absolute_error: 0.4253, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4583, root_relative_squared_error: 0.9223,
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: 0.9451, f_measure: 0.9441, kappa: 0.887, kb_relative_information_score: 442.9449, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.9447, predictive_accuracy: 0.944, prior_entropy: 0.991, recall: 0.944, relative_absolute_error: 0.1134, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.4763,

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