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Supervised Classification on collins

Supervised Classification on collins

Task 3850 Supervised Classification collins 141 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.996, kappa: 0.9851, kb_relative_information_score: 488.4218, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 0.6375, recall: 0.996, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.3666, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.1725, scimark_benchmark: 1860.4354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9551, kappa: 0.8294, kb_relative_information_score: 327.8765, mean_absolute_error: 0.0854, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 0.955, predictive_accuracy: 0.956, prior_entropy: 0.6375, recall: 0.956, relative_absolute_error: 0.3166, root_mean_prior_squared_error: 0.3666, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.5287, scimark_benchmark: 1447.2612, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9576, kappa: 0.8486, kb_relative_information_score: 381.0949, mean_absolute_error: 0.055, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 0.9621, predictive_accuracy: 0.956, prior_entropy: 0.6375, recall: 0.956, relative_absolute_error: 0.2039, root_mean_prior_squared_error: 0.3666, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.5244, scimark_benchmark: 1840.6094, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 496.2184, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6375, recall: 1, relative_absolute_error: 0.0041, root_mean_prior_squared_error: 0.3666, root_mean_squared_error: 0.0011, root_relative_squared_error: 0.003, scimark_benchmark: 1840.6094, usercpu_time_millis: 46.875, usercpu_time_millis_testing: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 495.8609, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6375, recall: 1, relative_absolute_error: 0.0038, root_mean_prior_squared_error: 0.3666, root_mean_squared_error: 0.011, root_relative_squared_error: 0.0299, scimark_benchmark: 1873.1108, usercpu_time_millis: 78.125, usercpu_time_millis_testing: 78.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9589, kappa: 0.8433, kb_relative_information_score: 356.5109, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 0.9593, predictive_accuracy: 0.96, prior_entropy: 0.6375, recall: 0.96, relative_absolute_error: 0.2595, root_mean_prior_squared_error: 0.3666, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.4916, scimark_benchmark: 1873.1108, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 496.9714, mean_absolute_error: 0.0004, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6375, recall: 1, relative_absolute_error: 0.0016, root_mean_prior_squared_error: 0.3666, root_mean_squared_error: 0.0004, root_relative_squared_error: 0.0012, scimark_benchmark: 1873.1108, usercpu_time_millis: 62.5, usercpu_time_millis_testing: 62.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 497.4739, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6375, recall: 1, root_mean_prior_squared_error: 0.3666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.767, kb_relative_information_score: 135.3872, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 0.7056, predictive_accuracy: 0.84, prior_entropy: 0.6375, recall: 0.84, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.3666, root_mean_squared_error: 0.4, root_relative_squared_error: 1.0911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 497.4739, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6375, recall: 1, root_mean_prior_squared_error: 0.3666, usercpu_time_millis: 3.119, usercpu_time_millis_testing: 0.486, usercpu_time_millis_training: 2.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 497.4739, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6375, recall: 1, root_mean_prior_squared_error: 0.3666, usercpu_time_millis: 381.614, usercpu_time_millis_testing: 7.581, usercpu_time_millis_training: 374.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.994, kappa: 0.9773, kb_relative_information_score: 483.8957, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 0.994, predictive_accuracy: 0.994, prior_entropy: 0.6375, recall: 0.994, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.3666, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.2113, usercpu_time_millis: 0.73, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 0.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 497.4739, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6375, recall: 1, root_mean_prior_squared_error: 0.3666, usercpu_time_millis: 11.865, usercpu_time_millis_testing: 0.708, usercpu_time_millis_training: 11.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 497.4739, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6375, recall: 1, root_mean_prior_squared_error: 0.3666, usercpu_time_millis: 0.292, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9354, f_measure: 0.9085, kappa: 0.7007, kb_relative_information_score: 271.1697, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 0.9365, predictive_accuracy: 0.9, prior_entropy: 0.6375, recall: 0.9, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.3666, root_mean_squared_error: 0.3162, root_relative_squared_error: 0.8626, usercpu_time_millis: 11.355, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 11.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 497.4739, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6375, recall: 1, root_mean_prior_squared_error: 0.3666, usercpu_time_millis: 41.956, usercpu_time_millis_testing: 3.091, usercpu_time_millis_training: 38.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.998, kappa: 0.9925, kb_relative_information_score: 492.9478, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 0.6375, recall: 0.998, relative_absolute_error: 0.0074, root_mean_prior_squared_error: 0.3666, root_mean_squared_error: 0.0447, root_relative_squared_error: 0.122, usercpu_time_millis: 1.857, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 1.657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 497.4739, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6375, recall: 1, root_mean_prior_squared_error: 0.3666, usercpu_time_millis: 28.884, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 28.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 497.4739, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6375, recall: 1, root_mean_prior_squared_error: 0.3666, usercpu_time_millis: 4.686, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 4.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 497.4739, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6375, recall: 1, root_mean_prior_squared_error: 0.3666, usercpu_time_millis: 1.464, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 1.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 497.4739, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6375, recall: 1, root_mean_prior_squared_error: 0.3666, usercpu_time_millis: 2.195, usercpu_time_millis_testing: 0.734, usercpu_time_millis_training: 1.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.996, kappa: 0.9851, kb_relative_information_score: 488.4218, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 0.6375, recall: 0.996, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.3666, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.1725, usercpu_time_millis: 2.787, usercpu_time_millis_testing: 0.953, usercpu_time_millis_training: 1.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7438, f_measure: 0.9058, kappa: 0.6151, kb_relative_information_score: 311.9045, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 0.9253, predictive_accuracy: 0.918, prior_entropy: 0.6375, recall: 0.918, relative_absolute_error: 0.304, root_mean_prior_squared_error: 0.3666, root_mean_squared_error: 0.2864, root_relative_squared_error: 0.7811, usercpu_time_millis: 0.558, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.9628, kappa: 0.8648, kb_relative_information_score: 411.4783, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 0.9646, predictive_accuracy: 0.962, prior_entropy: 0.6375, recall: 0.962, relative_absolute_error: 0.1409, root_mean_prior_squared_error: 0.3666, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.5317, usercpu_time_millis: 0.834, usercpu_time_millis_testing: 0.61, usercpu_time_millis_training: 0.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 497.4739, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6375, recall: 1, root_mean_prior_squared_error: 0.3666, usercpu_time_millis: 0.419, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 0.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 497.4739, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6375, recall: 1, root_mean_prior_squared_error: 0.3666, usercpu_time_millis: 1.334, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 1.234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.9562, kappa: 0.8309, kb_relative_information_score: 402.4262, mean_absolute_error: 0.042, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 0.9579, predictive_accuracy: 0.958, prior_entropy: 0.6375, recall: 0.958, relative_absolute_error: 0.1557, root_mean_prior_squared_error: 0.3666, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.559, usercpu_time_millis: 0.337, usercpu_time_millis_testing: 0.321, usercpu_time_millis_training: 0.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.994, kappa: 0.9773, kb_relative_information_score: 483.8957, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 0.994, predictive_accuracy: 0.994, prior_entropy: 0.6375, recall: 0.994, relative_absolute_error: 0.0222, root_mean_prior_squared_error: 0.3666, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.2113, usercpu_time_millis: 0.576, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.996, kappa: 0.9851, kb_relative_information_score: 488.4218, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 0.6375, recall: 0.996, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.3666, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.1725, usercpu_time_millis: 3, usercpu_time_millis_testing: 1.089, usercpu_time_millis_training: 1.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 497.4739, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6375, recall: 1, root_mean_prior_squared_error: 0.3666, usercpu_time_millis: 2.872, usercpu_time_millis_testing: 0.86, usercpu_time_millis_training: 2.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 497.4739, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6375, recall: 1, root_mean_prior_squared_error: 0.3666, usercpu_time_millis: 2.637, usercpu_time_millis_testing: 0.938, usercpu_time_millis_training: 1.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 497.4739, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6375, recall: 1, root_mean_prior_squared_error: 0.3666, usercpu_time_millis: 1.46, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 497.4739, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6375, recall: 1, root_mean_prior_squared_error: 0.3666, usercpu_time_millis: 0.597, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 0.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.767, kb_relative_information_score: 135.3872, mean_absolute_error: 0.16, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 0.7056, predictive_accuracy: 0.84, prior_entropy: 0.6375, recall: 0.84, relative_absolute_error: 0.5932, root_mean_prior_squared_error: 0.3666, root_mean_squared_error: 0.4, root_relative_squared_error: 1.0911, usercpu_time_millis: 0.739, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 497.4739, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6375, recall: 1, root_mean_prior_squared_error: 0.3666, usercpu_time_millis: 102.83, usercpu_time_millis_testing: 5.855, usercpu_time_millis_training: 96.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.996, kappa: 0.985, kb_relative_information_score: 488.4218, mean_absolute_error: 0.004, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 0.996, predictive_accuracy: 0.996, prior_entropy: 0.6375, recall: 0.996, relative_absolute_error: 0.0148, root_mean_prior_squared_error: 0.3666, root_mean_squared_error: 0.0632, root_relative_squared_error: 0.1725, usercpu_time_millis: 19.279, usercpu_time_millis_testing: 2.584, usercpu_time_millis_training: 16.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 497.4739, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6375, recall: 1, root_mean_prior_squared_error: 0.3666, usercpu_time_millis: 1.039, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 0.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 497.4739, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6375, recall: 1, root_mean_prior_squared_error: 0.3666, usercpu_time_millis: 4.279, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 4.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 497.4739, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6375, recall: 1, root_mean_prior_squared_error: 0.3666, usercpu_time_millis: 18.57, usercpu_time_millis_testing: 3.052, usercpu_time_millis_training: 15.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.939, kappa: 0.7573, kb_relative_information_score: 370.7436, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 0.9475, predictive_accuracy: 0.944, prior_entropy: 0.6375, recall: 0.944, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.3666, root_mean_squared_error: 0.2366, root_relative_squared_error: 0.6455, usercpu_time_millis: 2.967, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 2.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 497.4739, mean_prior_absolute_error: 0.2697, number_of_instances: 500, precision: 1, predictive_accuracy: 1, prior_entropy: 0.6375, recall: 1, root_mean_prior_squared_error: 0.3666, usercpu_time_millis: 1.098, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 1.023,

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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)

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