Task
Supervised Classification on la1s.wc

Supervised Classification on la1s.wc

Task 4236 Supervised Classification la1s.wc 30 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, f_measure: 0.7697, kappa: 0.7128, kb_relative_information_score: 22820.1799, mean_absolute_error: 0.0873, mean_prior_absolute_error: 0.2665, number_of_instances: 32040, precision: 0.7695, predictive_accuracy: 0.7707, prior_entropy: 2.4437, recall: 0.7707, relative_absolute_error: 0.3274, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.262, root_relative_squared_error: 0.7176, scimark_benchmark: 912.5006, usercpu_time_millis: 425140, usercpu_time_millis_testing: 2990, usercpu_time_millis_training: 422150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.7402, kappa: 0.6757, kb_relative_information_score: 22396.552, mean_absolute_error: 0.0876, mean_prior_absolute_error: 0.2665, number_of_instances: 32040, precision: 0.7586, predictive_accuracy: 0.7371, prior_entropy: 2.4437, recall: 0.7371, relative_absolute_error: 0.3288, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2945, root_relative_squared_error: 0.8067, scimark_benchmark: 1297.6356, usercpu_time_millis: 176850, usercpu_time_millis_testing: 132080, usercpu_time_millis_training: 44770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.7535, kappa: 0.693, kb_relative_information_score: 22858.4372, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.2665, number_of_instances: 32040, precision: 0.7648, predictive_accuracy: 0.752, prior_entropy: 2.4437, recall: 0.752, relative_absolute_error: 0.3105, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.286, root_relative_squared_error: 0.7834, scimark_benchmark: 1350.9691, usercpu_time_millis: 121810, usercpu_time_millis_testing: 103250, usercpu_time_millis_training: 18560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.8121, kappa: 0.7664, kb_relative_information_score: 22936.2769, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.2665, number_of_instances: 32040, precision: 0.8166, predictive_accuracy: 0.8147, prior_entropy: 2.4437, recall: 0.8147, relative_absolute_error: 0.3794, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.5843, scimark_benchmark: 1334.9657, usercpu_time_millis: 1687920, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1687870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.82, kappa: 0.7764, kb_relative_information_score: 23041.2648, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.2665, number_of_instances: 32040, precision: 0.825, predictive_accuracy: 0.8226, prior_entropy: 2.4437, recall: 0.8226, relative_absolute_error: 0.3788, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.5744, scimark_benchmark: 1501.4698, usercpu_time_millis: 2689120, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 2689050,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.7691, kappa: 0.7123, kb_relative_information_score: 22563.1704, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.2665, number_of_instances: 32040, precision: 0.7689, predictive_accuracy: 0.7706, prior_entropy: 2.4437, recall: 0.7706, relative_absolute_error: 0.3491, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2553, root_relative_squared_error: 0.6993, scimark_benchmark: 943.1756, usercpu_time_millis: 2405130, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 2405090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6484, f_measure: 0.3339, kappa: 0.2388, kb_relative_information_score: 6496.9377, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.2665, number_of_instances: 32040, precision: 0.2974, predictive_accuracy: 0.4529, prior_entropy: 2.4437, recall: 0.4529, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.9221, scimark_benchmark: 1321.7236, usercpu_time_millis: 22510, usercpu_time_millis_training: 22510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7806, f_measure: 0.6477, kappa: 0.5599, kb_relative_information_score: 18758.6492, mean_absolute_error: 0.117, mean_prior_absolute_error: 0.2665, number_of_instances: 32040, precision: 0.647, predictive_accuracy: 0.6489, prior_entropy: 2.4437, recall: 0.6489, relative_absolute_error: 0.4391, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.9372, scimark_benchmark: 1321.527, usercpu_time_millis: 28190, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 28180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9629, f_measure: 0.8121, kappa: 0.7664, kb_relative_information_score: 22936.2769, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.2665, number_of_instances: 32040, precision: 0.8166, predictive_accuracy: 0.8147, prior_entropy: 2.4437, recall: 0.8147, relative_absolute_error: 0.3794, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2133, root_relative_squared_error: 0.5843, scimark_benchmark: 1330.7266, usercpu_time_millis: 1667200, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 1667160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4976, f_measure: 0.1339, kb_relative_information_score: 5.7542, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.2665, number_of_instances: 32040, precision: 0.0866, predictive_accuracy: 0.2943, prior_entropy: 2.4437, recall: 0.2943, relative_absolute_error: 1, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.365, root_relative_squared_error: 1, scimark_benchmark: 1339.4189, usercpu_time_millis: 9940, usercpu_time_millis_testing: 9940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.8761, kappa: 0.8454, kb_relative_information_score: 26509.1582, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.2665, number_of_instances: 32040, precision: 0.8768, predictive_accuracy: 0.8766, prior_entropy: 2.4437, recall: 0.8766, relative_absolute_error: 0.22, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.4962, scimark_benchmark: 934.6432, usercpu_time_millis: 2888230, usercpu_time_millis_testing: 9770, usercpu_time_millis_training: 2878460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6484, f_measure: 0.3339, kappa: 0.2388, kb_relative_information_score: 6496.9377, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.2665, number_of_instances: 32040, precision: 0.2974, predictive_accuracy: 0.4529, prior_entropy: 2.4437, recall: 0.4529, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.9221, scimark_benchmark: 1442.7264, usercpu_time_millis: 23030, usercpu_time_millis_training: 23030,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6484, f_measure: 0.3339, kappa: 0.2388, kb_relative_information_score: 6496.9377, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.2665, number_of_instances: 32040, precision: 0.2974, predictive_accuracy: 0.4529, prior_entropy: 2.4437, recall: 0.4529, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.9221, scimark_benchmark: 943.1756, usercpu_time_millis: 25250, usercpu_time_millis_training: 25250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6484, f_measure: 0.3339, kappa: 0.2388, kb_relative_information_score: 6496.9377, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.2665, number_of_instances: 32040, precision: 0.2974, predictive_accuracy: 0.4529, prior_entropy: 2.4437, recall: 0.4529, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.9221, scimark_benchmark: 889.3151, usercpu_time_millis: 25210, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 25200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6484, f_measure: 0.3339, kappa: 0.2388, kb_relative_information_score: 6496.9377, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.2665, number_of_instances: 32040, precision: 0.2974, predictive_accuracy: 0.4529, prior_entropy: 2.4437, recall: 0.4529, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.9221, scimark_benchmark: 1336.2509, usercpu_time_millis: 22540, usercpu_time_millis_training: 22540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6484, f_measure: 0.3339, kappa: 0.2388, kb_relative_information_score: 6496.9377, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.2665, number_of_instances: 32040, precision: 0.2974, predictive_accuracy: 0.4529, prior_entropy: 2.4437, recall: 0.4529, relative_absolute_error: 0.8501, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.9221, scimark_benchmark: 942.9518, usercpu_time_millis: 24840, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 24830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.2733, kappa: 0.1863, kb_relative_information_score: 9400.6045, mean_absolute_error: 0.2199, mean_prior_absolute_error: 0.2665, number_of_instances: 32040, precision: 0.604, predictive_accuracy: 0.3172, prior_entropy: 2.4437, recall: 0.3172, relative_absolute_error: 0.8249, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.4146, root_relative_squared_error: 1.1358, scimark_benchmark: 1442.7264, usercpu_time_millis: 64970, usercpu_time_millis_testing: 64970,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6938, f_measure: 0.3273, kappa: 0.2247, kb_relative_information_score: 10528.3886, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.2665, number_of_instances: 32040, precision: 0.6247, predictive_accuracy: 0.3522, prior_entropy: 2.4437, recall: 0.3522, relative_absolute_error: 0.7866, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.4087, root_relative_squared_error: 1.1195, scimark_benchmark: 854.5188, usercpu_time_millis: 72740, usercpu_time_millis_testing: 72730, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9027, f_measure: 0.7751, kappa: 0.7191, kb_relative_information_score: 21929.094, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.2665, number_of_instances: 32040, precision: 0.7764, predictive_accuracy: 0.7765, prior_entropy: 2.4437, recall: 0.7765, relative_absolute_error: 0.3848, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.6826, scimark_benchmark: 1404.1865, usercpu_time_millis: 1672890, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1672880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.6411, kappa: 0.5607, kb_relative_information_score: 7428.9933, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.2665, number_of_instances: 32040, precision: 0.7465, predictive_accuracy: 0.6604, prior_entropy: 2.4437, recall: 0.6604, relative_absolute_error: 0.8966, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3361, root_relative_squared_error: 0.9206, scimark_benchmark: 940.3347, usercpu_time_millis: 160570, usercpu_time_millis_testing: 119980, usercpu_time_millis_training: 40590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.8436, kappa: 0.8045, kb_relative_information_score: 10190.3045, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.2665, number_of_instances: 32040, precision: 0.8456, predictive_accuracy: 0.8436, prior_entropy: 2.4437, recall: 0.8436, relative_absolute_error: 0.8547, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.8737, scimark_benchmark: 1301.9956, usercpu_time_millis: 16030, usercpu_time_millis_testing: 1610, usercpu_time_millis_training: 14420,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9275, f_measure: 0.8831, kappa: 0.8537, kb_relative_information_score: 27545.9766, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.2665, number_of_instances: 32040, precision: 0.8832, predictive_accuracy: 0.8831, prior_entropy: 2.4437, recall: 0.8831, relative_absolute_error: 0.1462, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.5408, scimark_benchmark: 1337.7959, usercpu_time_millis: 1420, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.8017, kappa: 0.7756, kb_relative_information_score: 16291.159, mean_absolute_error: 0.1742, mean_prior_absolute_error: 0.2665, number_of_instances: 32040, precision: 0.8423, predictive_accuracy: 0.825, prior_entropy: 2.4437, recall: 0.825, relative_absolute_error: 0.6538, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2567, root_relative_squared_error: 0.7032, scimark_benchmark: 1354.2491, usercpu_time_millis: 112290, usercpu_time_millis_testing: 2670, usercpu_time_millis_training: 109620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.7606, kappa: 0.7023, kb_relative_information_score: 21601.2482, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.2665, number_of_instances: 32040, precision: 0.7624, predictive_accuracy: 0.7632, prior_entropy: 2.4437, recall: 0.7632, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2486, root_relative_squared_error: 0.681, scimark_benchmark: 986.8456, usercpu_time_millis: 171760, usercpu_time_millis_training: 171760,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.689, f_measure: 0.4982, kappa: 0.3746, kb_relative_information_score: 13244.2015, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.2665, number_of_instances: 32040, precision: 0.4984, predictive_accuracy: 0.4992, prior_entropy: 2.4437, recall: 0.4992, relative_absolute_error: 0.6264, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.4086, root_relative_squared_error: 1.1193, scimark_benchmark: 825.5282, usercpu_time_millis: 1800, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8427, f_measure: 0.7478, kappa: 0.6846, kb_relative_information_score: 22480.19, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.2665, number_of_instances: 32040, precision: 0.7485, predictive_accuracy: 0.7486, prior_entropy: 2.4437, recall: 0.7486, relative_absolute_error: 0.3145, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.7931, scimark_benchmark: 1028.5889, usercpu_time_millis: 6919500, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 6919490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.7877, kappa: 0.7362, kb_relative_information_score: 23762.3515, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.2665, number_of_instances: 32040, precision: 0.7866, predictive_accuracy: 0.7892, prior_entropy: 2.4437, recall: 0.7892, relative_absolute_error: 0.2778, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.7066, scimark_benchmark: 1368.9272, usercpu_time_millis: 1132160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1132110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6141, f_measure: 0.3339, kappa: 0.2385, kb_relative_information_score: 9656.2761, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.2665, number_of_instances: 32040, precision: 0.2978, predictive_accuracy: 0.4526, prior_entropy: 2.4437, recall: 0.4526, relative_absolute_error: 0.6846, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.4272, root_relative_squared_error: 1.1702, scimark_benchmark: 1465.2979, usercpu_time_millis: 10230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.7613, kappa: 0.7029, kb_relative_information_score: 22638.4385, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.2665, number_of_instances: 32040, precision: 0.7607, predictive_accuracy: 0.7628, prior_entropy: 2.4437, recall: 0.7628, relative_absolute_error: 0.3259, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.2707, root_relative_squared_error: 0.7415, scimark_benchmark: 1337.446, usercpu_time_millis: 521600, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 521560,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4976, f_measure: 0.1339, kb_relative_information_score: 5.7542, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.2665, number_of_instances: 32040, precision: 0.0866, predictive_accuracy: 0.2943, prior_entropy: 2.4437, recall: 0.2943, relative_absolute_error: 1, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.365, root_relative_squared_error: 1, scimark_benchmark: 1418.5826,

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    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)

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