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File: /var/www/openml/index.php
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Function: require_once

OpenML
OpenML
Supervised Classification on letter

Supervised Classification on letter

Task 6 Supervised Classification letter 35039 runs submitted
2 likes downloaded by 2 people , 5 total downloads 0 issues
Visibility: Public
  • 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
Issue #Downvotes for this reason By


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35039 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.5322, kappa: 0.532, kb_relative_information_score: 3707.1418, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6189, predictive_accuracy: 0.5502, prior_entropy: 4.6998, recall: 0.5502, relative_absolute_error: 0.9665, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.9731, scimark_benchmark: 902.5708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.8662, kappa: 0.8597, kb_relative_information_score: 4145.2358, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8715, predictive_accuracy: 0.8652, prior_entropy: 4.6998, recall: 0.8652, relative_absolute_error: 0.9613, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.9675, scimark_benchmark: 947.5848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.8569, kappa: 0.851, kb_relative_information_score: 17257.7065, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8575, predictive_accuracy: 0.8568, prior_entropy: 4.6998, recall: 0.8568, relative_absolute_error: 0.1961, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0938, root_relative_squared_error: 0.4877, scimark_benchmark: 947.9716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9857, f_measure: 0.8662, kappa: 0.8597, kb_relative_information_score: 4145.2358, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8715, predictive_accuracy: 0.8652, prior_entropy: 4.6998, recall: 0.8652, relative_absolute_error: 0.9613, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.9675, scimark_benchmark: 945.0415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.8843, kappa: 0.8415, kb_relative_information_score: 3944.2568, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9511, predictive_accuracy: 0.8477, prior_entropy: 4.6998, recall: 0.8477, relative_absolute_error: 0.9639, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.9707, scimark_benchmark: 910.6823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9215, kappa: 0.9183, kb_relative_information_score: 18546.6174, mean_absolute_error: 0.0065, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9217, predictive_accuracy: 0.9214, prior_entropy: 4.6998, recall: 0.9214, relative_absolute_error: 0.0885, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.3802, scimark_benchmark: 936.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.8139, kappa: 0.8063, kb_relative_information_score: 16537.7988, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8148, predictive_accuracy: 0.8138, prior_entropy: 4.6998, recall: 0.8138, relative_absolute_error: 0.2627, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1029, root_relative_squared_error: 0.5351, scimark_benchmark: 948.5758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9154, kappa: 0.9119, kb_relative_information_score: 17873.9265, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9162, predictive_accuracy: 0.9153, prior_entropy: 4.6998, recall: 0.9153, relative_absolute_error: 0.2166, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0756, root_relative_squared_error: 0.3931, scimark_benchmark: 950.0317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.909, kappa: 0.9051, kb_relative_information_score: 17842.0275, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9098, predictive_accuracy: 0.9088, prior_entropy: 4.6998, recall: 0.9088, relative_absolute_error: 0.216, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0769, root_relative_squared_error: 0.3998, scimark_benchmark: 949.0927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.7224, kappa: 0.7118, kb_relative_information_score: 227.3104, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7258, predictive_accuracy: 0.7229, prior_entropy: 4.6998, recall: 0.7229, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.192, root_relative_squared_error: 0.9986, scimark_benchmark: 946.3827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, f_measure: 0.0109, kappa: 0.0329, kb_relative_information_score: 2445.7166, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0059, predictive_accuracy: 0.0709, prior_entropy: 4.6998, recall: 0.0709, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9907, scimark_benchmark: 948.2971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9118, kappa: 0.9081, kb_relative_information_score: 17859.005, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9126, predictive_accuracy: 0.9116, prior_entropy: 4.6998, recall: 0.9116, relative_absolute_error: 0.2159, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0763, root_relative_squared_error: 0.3968, scimark_benchmark: 938.2528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.8785, kappa: 0.8734, kb_relative_information_score: 17645.9391, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8789, predictive_accuracy: 0.8783, prior_entropy: 4.6998, recall: 0.8783, relative_absolute_error: 0.1425, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.4719, scimark_benchmark: 909.2511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9564, kappa: 0.953, kb_relative_information_score: 4201.2866, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9611, predictive_accuracy: 0.9548, prior_entropy: 4.6998, recall: 0.9548, relative_absolute_error: 0.9607, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.186, root_relative_squared_error: 0.9673, scimark_benchmark: 947.6587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9821, f_measure: 0.8843, kappa: 0.8415, kb_relative_information_score: 3944.2568, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9511, predictive_accuracy: 0.8477, prior_entropy: 4.6998, recall: 0.8477, relative_absolute_error: 0.9639, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1867, root_relative_squared_error: 0.9707, scimark_benchmark: 906.1019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9555, kappa: 0.9537, kb_relative_information_score: 19312.9059, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.956, predictive_accuracy: 0.9555, prior_entropy: 4.6998, recall: 0.9555, relative_absolute_error: 0.0669, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.051, root_relative_squared_error: 0.2652, scimark_benchmark: 947.4895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5691, f_measure: 0.0918, kappa: 0.1383, kb_relative_information_score: 3226.6006, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.068, predictive_accuracy: 0.172, prior_entropy: 4.6998, recall: 0.172, relative_absolute_error: 0.8612, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2524, root_relative_squared_error: 1.3124, scimark_benchmark: 946.8042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.8787, kappa: 0.8736, kb_relative_information_score: 17667.6602, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8792, predictive_accuracy: 0.8785, prior_entropy: 4.6998, recall: 0.8785, relative_absolute_error: 0.1399, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.471, scimark_benchmark: 948.8027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.882, kappa: 0.8768, kb_relative_information_score: 4167.1064, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.885, predictive_accuracy: 0.8815, prior_entropy: 4.6998, recall: 0.8815, relative_absolute_error: 0.961, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.186, root_relative_squared_error: 0.9671, scimark_benchmark: 948.9123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9566, kappa: 0.9548, kb_relative_information_score: 4225.241, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9569, predictive_accuracy: 0.9565, prior_entropy: 4.6998, recall: 0.9565, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1857, root_relative_squared_error: 0.9658, scimark_benchmark: 946.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.7993, kappa: 0.79, kb_relative_information_score: 4062.2738, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8105, predictive_accuracy: 0.7981, prior_entropy: 4.6998, recall: 0.7981, relative_absolute_error: 0.9622, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.9686, scimark_benchmark: 910.8094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9564, kappa: 0.953, kb_relative_information_score: 4201.2866, mean_absolute_error: 0.0711, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9611, predictive_accuracy: 0.9548, prior_entropy: 4.6998, recall: 0.9548, relative_absolute_error: 0.9607, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.186, root_relative_squared_error: 0.9673, scimark_benchmark: 938.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9649, kappa: 0.9634, kb_relative_information_score: 4237.4337, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9655, predictive_accuracy: 0.9649, prior_entropy: 4.6998, recall: 0.9649, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.9665, scimark_benchmark: 949.2883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.783, kappa: 0.7712, kb_relative_information_score: 4026.4027, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7969, predictive_accuracy: 0.7801, prior_entropy: 4.6998, recall: 0.7801, relative_absolute_error: 0.9626, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.969, scimark_benchmark: 948.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9507, f_measure: 0.6549, kappa: 0.6319, kb_relative_information_score: 9232.7954, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6836, predictive_accuracy: 0.6461, prior_entropy: 4.6998, recall: 0.6461, relative_absolute_error: 0.7607, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1557, root_relative_squared_error: 0.8098, scimark_benchmark: 946.2427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9753, f_measure: 0.7937, kappa: 0.7849, kb_relative_information_score: 16129.6186, mean_absolute_error: 0.0218, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7949, predictive_accuracy: 0.7932, prior_entropy: 4.6998, recall: 0.7932, relative_absolute_error: 0.2947, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1078, root_relative_squared_error: 0.5604, scimark_benchmark: 947.8449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.7332, kappa: 0.7222, kb_relative_information_score: 14443.4891, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7361, predictive_accuracy: 0.7329, prior_entropy: 4.6998, recall: 0.7329, relative_absolute_error: 0.455, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.12, root_relative_squared_error: 0.6239, scimark_benchmark: 946.5275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.8771, kappa: 0.872, kb_relative_information_score: 17609.7144, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8776, predictive_accuracy: 0.877, prior_entropy: 4.6998, recall: 0.877, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.4726, scimark_benchmark: 946.5244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9115, f_measure: 0.8298, kappa: 0.8229, kb_relative_information_score: 16551.7284, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8301, predictive_accuracy: 0.8298, prior_entropy: 4.6998, recall: 0.8298, relative_absolute_error: 0.1771, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1144, root_relative_squared_error: 0.5951, scimark_benchmark: 942.2698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, f_measure: 0.4304, kappa: 0.4449, kb_relative_information_score: 3556.3432, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.5663, predictive_accuracy: 0.4667, prior_entropy: 4.6998, recall: 0.4667, relative_absolute_error: 0.9682, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.9748, scimark_benchmark: 948.0321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9446, kappa: 0.9422, kb_relative_information_score: 18767.6476, mean_absolute_error: 0.0104, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9453, predictive_accuracy: 0.9445, prior_entropy: 4.6998, recall: 0.9445, relative_absolute_error: 0.1412, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0626, root_relative_squared_error: 0.3255, scimark_benchmark: 945.7221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5831, f_measure: 0.0082, kappa: 0.0028, kb_relative_information_score: 1158.8647, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0649, predictive_accuracy: 0.0433, prior_entropy: 4.6998, recall: 0.0433, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1934, root_relative_squared_error: 1.0057, scimark_benchmark: 946.2244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9327, kappa: 0.9298, kb_relative_information_score: 4211.02, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9335, predictive_accuracy: 0.9325, prior_entropy: 4.6998, recall: 0.9325, relative_absolute_error: 0.9605, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.9662, scimark_benchmark: 947.4974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9525, kappa: 0.9505, kb_relative_information_score: 19142.6133, mean_absolute_error: 0.007, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9531, predictive_accuracy: 0.9525, prior_entropy: 4.6998, recall: 0.9525, relative_absolute_error: 0.0948, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0543, root_relative_squared_error: 0.2824, scimark_benchmark: 937.2697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9534, kappa: 0.9515, kb_relative_information_score: 19198.326, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9537, predictive_accuracy: 0.9534, prior_entropy: 4.6998, recall: 0.9534, relative_absolute_error: 0.0864, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0532, root_relative_squared_error: 0.2765, scimark_benchmark: 912.3859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.8742, kappa: 0.869, kb_relative_information_score: 17532.4131, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8747, predictive_accuracy: 0.8741, prior_entropy: 4.6998, recall: 0.8741, relative_absolute_error: 0.1592, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.4743, scimark_benchmark: 948.5653,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.0032, kb_relative_information_score: 1.6782, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0017, predictive_accuracy: 0.0407, prior_entropy: 4.6998, recall: 0.0407, relative_absolute_error: 1, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1923, root_relative_squared_error: 1, scimark_benchmark: 948.9247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.8777, kappa: 0.8726, kb_relative_information_score: 17627.346, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8781, predictive_accuracy: 0.8776, prior_entropy: 4.6998, recall: 0.8776, relative_absolute_error: 0.1454, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.4724, scimark_benchmark: 909.2158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9493, kappa: 0.9472, kb_relative_information_score: 18953.1209, mean_absolute_error: 0.0088, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9499, predictive_accuracy: 0.9492, prior_entropy: 4.6998, recall: 0.9492, relative_absolute_error: 0.1193, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0585, root_relative_squared_error: 0.3042, scimark_benchmark: 947.2812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5691, f_measure: 0.0918, kappa: 0.1383, kb_relative_information_score: 3226.6006, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.068, predictive_accuracy: 0.172, prior_entropy: 4.6998, recall: 0.172, relative_absolute_error: 0.8612, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.2524, root_relative_squared_error: 1.3124, scimark_benchmark: 946.0997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, f_measure: 0.0109, kappa: 0.0329, kb_relative_information_score: 2445.7166, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0059, predictive_accuracy: 0.0709, prior_entropy: 4.6998, recall: 0.0709, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9907, scimark_benchmark: 943.8256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.96, kappa: 0.9583, kb_relative_information_score: 19198.0047, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.96, predictive_accuracy: 0.96, prior_entropy: 4.6998, recall: 0.96, relative_absolute_error: 0.0431, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0549, root_relative_squared_error: 0.2855, scimark_benchmark: 947.4673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6512, f_measure: 0.0109, kappa: 0.0329, kb_relative_information_score: 2445.7166, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.0059, predictive_accuracy: 0.0709, prior_entropy: 4.6998, recall: 0.0709, relative_absolute_error: 0.9815, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.9907, scimark_benchmark: 910.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.8607, kappa: 0.8549, kb_relative_information_score: 17355.8855, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8612, predictive_accuracy: 0.8605, prior_entropy: 4.6998, recall: 0.8605, relative_absolute_error: 0.1876, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0926, root_relative_squared_error: 0.4817, scimark_benchmark: 944.9078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.964, kappa: 0.9621, kb_relative_information_score: 4224.6436, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9656, predictive_accuracy: 0.9636, prior_entropy: 4.6998, recall: 0.9636, relative_absolute_error: 0.9604, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.186, root_relative_squared_error: 0.967, scimark_benchmark: 948.7708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.5398, kappa: 0.5325, kb_relative_information_score: 11138.1539, mean_absolute_error: 0.0493, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.5551, predictive_accuracy: 0.5506, prior_entropy: 4.6998, recall: 0.5506, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1533, root_relative_squared_error: 0.7973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.8651, kappa: 0.8596, kb_relative_information_score: 17329.7143, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8658, predictive_accuracy: 0.865, prior_entropy: 4.6998, recall: 0.865, relative_absolute_error: 0.2372, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0873, root_relative_squared_error: 0.454, scimark_benchmark: 948.3217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.833, kappa: 0.8261, kb_relative_information_score: 16887.8944, mean_absolute_error: 0.0172, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8338, predictive_accuracy: 0.8328, prior_entropy: 4.6998, recall: 0.8328, relative_absolute_error: 0.2331, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0985, root_relative_squared_error: 0.5122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9716, kappa: 0.9704, kb_relative_information_score: 4238.084, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9718, predictive_accuracy: 0.9716, prior_entropy: 4.6998, recall: 0.9716, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.9668, scimark_benchmark: 947.0499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.7713, kappa: 0.7633, kb_relative_information_score: 15456.7426, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.7714, predictive_accuracy: 0.7724, prior_entropy: 4.6998, recall: 0.7724, relative_absolute_error: 0.3845, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.591, scimark_benchmark: 946.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9555, kappa: 0.9536, kb_relative_information_score: 4230.1148, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.9561, predictive_accuracy: 0.9554, prior_entropy: 4.6998, recall: 0.9554, relative_absolute_error: 0.9603, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.9662, scimark_benchmark: 947.0588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8802, kappa: 0.8735, kb_relative_information_score: 17949.6808, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8866, predictive_accuracy: 0.8784, prior_entropy: 4.6998, recall: 0.8784, relative_absolute_error: 0.1774, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.083, root_relative_squared_error: 0.4315, scimark_benchmark: 948.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.8787, kappa: 0.8736, kb_relative_information_score: 17667.6602, mean_absolute_error: 0.0103, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8792, predictive_accuracy: 0.8785, prior_entropy: 4.6998, recall: 0.8785, relative_absolute_error: 0.1399, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.471, scimark_benchmark: 911.7299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.8334, kappa: 0.8265, kb_relative_information_score: 16934.2485, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8341, predictive_accuracy: 0.8332, prior_entropy: 4.6998, recall: 0.8332, relative_absolute_error: 0.2301, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.5101, scimark_benchmark: 950.1836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8863, f_measure: 0.3824, kappa: 0.3905, kb_relative_information_score: 3709.5974, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6044, predictive_accuracy: 0.4142, prior_entropy: 4.6998, recall: 0.4142, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.9736, scimark_benchmark: 948.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.8164, kappa: 0.807, kb_relative_information_score: 4081.0985, mean_absolute_error: 0.0712, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.8264, predictive_accuracy: 0.8144, prior_entropy: 4.6998, recall: 0.8144, relative_absolute_error: 0.962, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.9683, scimark_benchmark: 946.5962,

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