Task
Supervised Classification on letter

Supervised Classification on letter

Task 6 Supervised Classification letter 34651 runs submitted
2 likes downloaded by 2 people , 5 total downloads 0 issues
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
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34651 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5495, kappa: 0.0326, kb_relative_information_score: 0.0575, mean_absolute_error: 0.0723, mean_prior_absolute_error: 0.074, weighted_recall: 0.0718, number_of_instances: 20000, predictive_accuracy: 0.0718, prior_entropy: 4.6998, relative_absolute_error: 0.9776, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.9887, unweighted_recall: 0.0688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.6392, kappa: 0.6277, kb_relative_information_score: 0.6887, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.074, weighted_recall: 0.6421, number_of_instances: 20000, precision: 0.6557, predictive_accuracy: 0.6421, prior_entropy: 4.6998, relative_absolute_error: 0.43, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.7248, unweighted_recall: 0.6409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8821, kappa: 0.8773, kb_relative_information_score: 0.8805, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, weighted_recall: 0.882, number_of_instances: 20000, precision: 0.8822, predictive_accuracy: 0.882, prior_entropy: 4.6998, relative_absolute_error: 0.1227, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0953, root_relative_squared_error: 0.4954, unweighted_recall: 0.8817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9386, f_measure: 0.8819, kappa: 0.8771, kb_relative_information_score: 0.8803, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, weighted_recall: 0.8819, number_of_instances: 20000, precision: 0.8821, predictive_accuracy: 0.8819, prior_entropy: 4.6998, relative_absolute_error: 0.1229, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0953, root_relative_squared_error: 0.4957, unweighted_recall: 0.8816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9749, kappa: 0.9739, kb_relative_information_score: 0.9746, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.074, weighted_recall: 0.975, number_of_instances: 20000, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 4.6998, relative_absolute_error: 0.0261, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0439, root_relative_squared_error: 0.2283, unweighted_recall: 0.9747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.996, f_measure: 0.9403, kappa: 0.9378, kb_relative_information_score: 0.9128, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.074, weighted_recall: 0.9402, number_of_instances: 20000, precision: 0.9409, predictive_accuracy: 0.9402, prior_entropy: 4.6998, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0702, root_relative_squared_error: 0.365, unweighted_recall: 0.9399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7254, kappa: 0.4508, kb_relative_information_score: 0.465, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.074, weighted_recall: 0.4722, number_of_instances: 20000, predictive_accuracy: 0.4722, prior_entropy: 4.6998, relative_absolute_error: 0.549, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2015, root_relative_squared_error: 1.0478, usercpu_time_millis: 1.44, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 1.42, unweighted_recall: 0.4694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.8653, kappa: 0.8567, kb_relative_information_score: 0.7376, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.074, weighted_recall: 0.8623, number_of_instances: 20000, precision: 0.8775, predictive_accuracy: 0.8623, prior_entropy: 4.6998, relative_absolute_error: 0.4653, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.5867, unweighted_recall: 0.8616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.8607, kappa: 0.8519, kb_relative_information_score: 0.7361, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.074, weighted_recall: 0.8576, number_of_instances: 20000, precision: 0.8738, predictive_accuracy: 0.8576, prior_entropy: 4.6998, relative_absolute_error: 0.4632, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.113, root_relative_squared_error: 0.5878, unweighted_recall: 0.8569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9421, kappa: 0.9396, kb_relative_information_score: 0.9142, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.074, weighted_recall: 0.9419, number_of_instances: 20000, precision: 0.9429, predictive_accuracy: 0.9419, prior_entropy: 4.6998, relative_absolute_error: 0.1845, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0697, root_relative_squared_error: 0.3625, unweighted_recall: 0.9416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.8805, kappa: 0.8757, kb_relative_information_score: 0.8789, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.074, weighted_recall: 0.8805, number_of_instances: 20000, precision: 0.8807, predictive_accuracy: 0.8805, prior_entropy: 4.6998, relative_absolute_error: 0.1243, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.4987, unweighted_recall: 0.8802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.8824, kappa: 0.8776, kb_relative_information_score: 0.8809, mean_absolute_error: 0.009, mean_prior_absolute_error: 0.074, weighted_recall: 0.8824, number_of_instances: 20000, precision: 0.8826, predictive_accuracy: 0.8824, prior_entropy: 4.6998, relative_absolute_error: 0.1224, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0951, root_relative_squared_error: 0.4947, unweighted_recall: 0.8821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.6214, kappa: 0.6103, kb_relative_information_score: 0.6248, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.074, weighted_recall: 0.6253, number_of_instances: 20000, precision: 0.6367, predictive_accuracy: 0.6253, prior_entropy: 4.6998, relative_absolute_error: 0.5897, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.7368, unweighted_recall: 0.6245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9153, kappa: 0.9119, kb_relative_information_score: 0.9073, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.074, weighted_recall: 0.9153, number_of_instances: 20000, precision: 0.9159, predictive_accuracy: 0.9153, prior_entropy: 4.6998, relative_absolute_error: 0.1765, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0715, root_relative_squared_error: 0.3717, unweighted_recall: 0.9148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9775, kappa: 0.9766, kb_relative_information_score: 0.9721, mean_absolute_error: 0.0044, mean_prior_absolute_error: 0.074, weighted_recall: 0.9775, number_of_instances: 20000, precision: 0.9775, predictive_accuracy: 0.9775, prior_entropy: 4.6998, relative_absolute_error: 0.0588, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0385, root_relative_squared_error: 0.2003, unweighted_recall: 0.9774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.8707, kappa: 0.8654, kb_relative_information_score: 0.8575, mean_absolute_error: 0.0196, mean_prior_absolute_error: 0.074, weighted_recall: 0.8706, number_of_instances: 20000, precision: 0.8718, predictive_accuracy: 0.8706, prior_entropy: 4.6998, relative_absolute_error: 0.2644, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0887, root_relative_squared_error: 0.4614, unweighted_recall: 0.8697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.939, kappa: 0.9365, kb_relative_information_score: 0.9304, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.074, weighted_recall: 0.939, number_of_instances: 20000, precision: 0.9395, predictive_accuracy: 0.939, prior_entropy: 4.6998, relative_absolute_error: 0.1387, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0617, root_relative_squared_error: 0.3206, unweighted_recall: 0.9386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.8661, kappa: 0.8607, kb_relative_information_score: 0.8553, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.074, weighted_recall: 0.8661, number_of_instances: 20000, precision: 0.8672, predictive_accuracy: 0.8661, prior_entropy: 4.6998, relative_absolute_error: 0.2659, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.4657, unweighted_recall: 0.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9214, kappa: 0.9181, kb_relative_information_score: 0.9148, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.074, weighted_recall: 0.9213, number_of_instances: 20000, precision: 0.9219, predictive_accuracy: 0.9213, prior_entropy: 4.6998, relative_absolute_error: 0.1632, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0686, root_relative_squared_error: 0.3568, unweighted_recall: 0.9209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9239, f_measure: 0.5294, kappa: 0.5097, kb_relative_information_score: 0.3828, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.074, weighted_recall: 0.5286, number_of_instances: 20000, precision: 0.5493, predictive_accuracy: 0.5286, prior_entropy: 4.6998, relative_absolute_error: 0.8648, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.8914, unweighted_recall: 0.5274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.8505, kappa: 0.8446, kb_relative_information_score: 0.84, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.074, weighted_recall: 0.8506, number_of_instances: 20000, precision: 0.8518, predictive_accuracy: 0.8506, prior_entropy: 4.6998, relative_absolute_error: 0.2891, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.4903, unweighted_recall: 0.8495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9612, kappa: 0.9593, kb_relative_information_score: 0.9463, mean_absolute_error: 0.0066, mean_prior_absolute_error: 0.074, weighted_recall: 0.9609, number_of_instances: 20000, precision: 0.9623, predictive_accuracy: 0.9609, prior_entropy: 4.6998, relative_absolute_error: 0.0889, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0534, root_relative_squared_error: 0.2777, unweighted_recall: 0.9607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9781, kappa: 0.9772, kb_relative_information_score: 0.973, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.074, weighted_recall: 0.9781, number_of_instances: 20000, precision: 0.9781, predictive_accuracy: 0.9781, prior_entropy: 4.6998, relative_absolute_error: 0.0559, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0383, root_relative_squared_error: 0.199, unweighted_recall: 0.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.8485, kappa: 0.8423, kb_relative_information_score: 0.8572, mean_absolute_error: 0.0177, mean_prior_absolute_error: 0.074, weighted_recall: 0.8484, number_of_instances: 20000, precision: 0.8511, predictive_accuracy: 0.8484, prior_entropy: 4.6998, relative_absolute_error: 0.2397, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.4713, unweighted_recall: 0.8476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9463, kappa: 0.9441, kb_relative_information_score: 0.939, mean_absolute_error: 0.0091, mean_prior_absolute_error: 0.074, weighted_recall: 0.9463, number_of_instances: 20000, precision: 0.9467, predictive_accuracy: 0.9463, prior_entropy: 4.6998, relative_absolute_error: 0.1231, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0576, root_relative_squared_error: 0.2995, unweighted_recall: 0.9459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9406, f_measure: 0.6803, kappa: 0.5799, kb_relative_information_score: 0.4121, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.074, weighted_recall: 0.5963, number_of_instances: 20000, precision: 0.9034, predictive_accuracy: 0.5963, prior_entropy: 4.6998, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.8011, unweighted_recall: 0.5957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.8331, kappa: 0.8265, kb_relative_information_score: 0.8229, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.074, weighted_recall: 0.8332, number_of_instances: 20000, precision: 0.8347, predictive_accuracy: 0.8332, prior_entropy: 4.6998, relative_absolute_error: 0.3122, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0988, root_relative_squared_error: 0.5138, unweighted_recall: 0.8321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.971, kappa: 0.9698, kb_relative_information_score: 0.9688, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.074, weighted_recall: 0.971, number_of_instances: 20000, precision: 0.971, predictive_accuracy: 0.971, prior_entropy: 4.6998, relative_absolute_error: 0.0644, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0421, root_relative_squared_error: 0.2191, unweighted_recall: 0.9708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9763, kappa: 0.9754, kb_relative_information_score: 0.9707, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.074, weighted_recall: 0.9763, number_of_instances: 20000, precision: 0.9763, predictive_accuracy: 0.9763, prior_entropy: 4.6998, relative_absolute_error: 0.0619, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0394, root_relative_squared_error: 0.205, unweighted_recall: 0.9762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9231, kappa: 0.92, kb_relative_information_score: 0.919, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.074, weighted_recall: 0.9231, number_of_instances: 20000, precision: 0.9238, predictive_accuracy: 0.9231, prior_entropy: 4.6998, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0671, root_relative_squared_error: 0.3491, unweighted_recall: 0.9226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9502, kappa: 0.9483, kb_relative_information_score: 0.931, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.074, weighted_recall: 0.9503, number_of_instances: 20000, precision: 0.9503, predictive_accuracy: 0.9503, prior_entropy: 4.6998, relative_absolute_error: 0.1368, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0604, root_relative_squared_error: 0.3141, unweighted_recall: 0.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.4965, kappa: 0.4518, kb_relative_information_score: 0.3712, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.074, weighted_recall: 0.4729, number_of_instances: 20000, precision: 0.606, predictive_accuracy: 0.4729, prior_entropy: 4.6998, relative_absolute_error: 0.8392, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.8955, unweighted_recall: 0.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9555, kappa: 0.9537, kb_relative_information_score: 0.9423, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.074, weighted_recall: 0.9555, number_of_instances: 20000, precision: 0.9557, predictive_accuracy: 0.9555, prior_entropy: 4.6998, relative_absolute_error: 0.1205, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0552, root_relative_squared_error: 0.2871, unweighted_recall: 0.9551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9738, kappa: 0.9728, kb_relative_information_score: 0.9676, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.074, weighted_recall: 0.9738, number_of_instances: 20000, precision: 0.9738, predictive_accuracy: 0.9738, prior_entropy: 4.6998, relative_absolute_error: 0.0693, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0413, root_relative_squared_error: 0.2146, unweighted_recall: 0.9736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.8415, kappa: 0.8352, kb_relative_information_score: 0.8317, mean_absolute_error: 0.0222, mean_prior_absolute_error: 0.074, weighted_recall: 0.8415, number_of_instances: 20000, precision: 0.843, predictive_accuracy: 0.8415, prior_entropy: 4.6998, relative_absolute_error: 0.2998, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0965, root_relative_squared_error: 0.5018, unweighted_recall: 0.8405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9577, kappa: 0.956, kb_relative_information_score: 0.9449, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.074, weighted_recall: 0.9577, number_of_instances: 20000, precision: 0.9579, predictive_accuracy: 0.9577, prior_entropy: 4.6998, relative_absolute_error: 0.116, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0539, root_relative_squared_error: 0.28, unweighted_recall: 0.9574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9428, kappa: 0.9405, kb_relative_information_score: 0.9178, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.074, weighted_recall: 0.9428, number_of_instances: 20000, precision: 0.943, predictive_accuracy: 0.9428, prior_entropy: 4.6998, relative_absolute_error: 0.1609, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0657, root_relative_squared_error: 0.3416, unweighted_recall: 0.9427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9054, kappa: 0.9015, kb_relative_information_score: 0.8944, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.074, weighted_recall: 0.9053, number_of_instances: 20000, precision: 0.9062, predictive_accuracy: 0.9053, prior_entropy: 4.6998, relative_absolute_error: 0.2017, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.076, root_relative_squared_error: 0.3951, unweighted_recall: 0.9047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8994, kappa: 0.2376, kb_relative_information_score: 0.1547, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.074, weighted_recall: 0.2663, number_of_instances: 20000, predictive_accuracy: 0.2663, prior_entropy: 4.6998, relative_absolute_error: 0.973, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.9773, unweighted_recall: 0.2669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.5447, kappa: 0.5394, kb_relative_information_score: 0.5014, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.074, weighted_recall: 0.557, number_of_instances: 20000, precision: 0.6053, predictive_accuracy: 0.557, prior_entropy: 4.6998, relative_absolute_error: 0.6964, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1554, root_relative_squared_error: 0.8083, unweighted_recall: 0.5574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.7115, kappa: 0.7008, kb_relative_information_score: 0.6622, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.074, weighted_recall: 0.7123, number_of_instances: 20000, precision: 0.7176, predictive_accuracy: 0.7123, prior_entropy: 4.6998, relative_absolute_error: 0.5914, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1354, root_relative_squared_error: 0.7039, unweighted_recall: 0.7105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9786, kappa: 0.9777, kb_relative_information_score: 0.9732, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.074, weighted_recall: 0.9786, number_of_instances: 20000, precision: 0.9786, predictive_accuracy: 0.9786, prior_entropy: 4.6998, relative_absolute_error: 0.0564, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0378, root_relative_squared_error: 0.1964, unweighted_recall: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.7666, kappa: 0.7586, kb_relative_information_score: 0.7478, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.074, weighted_recall: 0.7679, number_of_instances: 20000, precision: 0.767, predictive_accuracy: 0.7679, prior_entropy: 4.6998, relative_absolute_error: 0.4383, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1175, root_relative_squared_error: 0.6112, unweighted_recall: 0.7664,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7204, kappa: 0.7107, kb_relative_information_score: 0.6407, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.724, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6282, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.138, root_relative_squared_error: 0.7176, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.7166, kappa: 0.7067, kb_relative_information_score: 0.6616, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.074, weighted_recall: 0.718, number_of_instances: 20000, precision: 0.7203, predictive_accuracy: 0.718, prior_entropy: 4.6998, relative_absolute_error: 0.5949, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1351, root_relative_squared_error: 0.7024, unweighted_recall: 0.7163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9432, f_measure: 0.5952, kappa: 0.6046, kb_relative_information_score: 0.3579, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.074, weighted_recall: 0.6199, number_of_instances: 20000, precision: 0.6191, predictive_accuracy: 0.6199, prior_entropy: 4.6998, relative_absolute_error: 0.8861, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.9013, unweighted_recall: 0.6177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.7222, kappa: 0.7117, kb_relative_information_score: 0.6589, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.074, weighted_recall: 0.7228, number_of_instances: 20000, precision: 0.7256, predictive_accuracy: 0.7228, prior_entropy: 4.6998, relative_absolute_error: 0.5989, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1353, root_relative_squared_error: 0.7033, unweighted_recall: 0.7211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7206, kappa: 0.7107, kb_relative_information_score: 0.6522, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.074, weighted_recall: 0.7218, number_of_instances: 20000, precision: 0.7235, predictive_accuracy: 0.7218, prior_entropy: 4.6998, relative_absolute_error: 0.6099, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1363, root_relative_squared_error: 0.7087, unweighted_recall: 0.7201,

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