Task
Supervised Classification on la2s.wc

Supervised Classification on la2s.wc

Task 4233 Supervised Classification la2s.wc 31 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.8555, kappa: 0.8195, kb_relative_information_score: 20875.5493, mean_absolute_error: 0.1218, mean_prior_absolute_error: 0.2655, number_of_instances: 30750, precision: 0.8603, predictive_accuracy: 0.8575, prior_entropy: 2.4305, recall: 0.8575, relative_absolute_error: 0.4588, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.208, root_relative_squared_error: 0.5708, scimark_benchmark: 1349.7981, usercpu_time_millis: 3017880, usercpu_time_millis_testing: 46100, usercpu_time_millis_training: 2971780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.7847, kappa: 0.7302, kb_relative_information_score: 22359.4132, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.2655, number_of_instances: 30750, precision: 0.7851, predictive_accuracy: 0.7854, prior_entropy: 2.4305, recall: 0.7854, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.6963, scimark_benchmark: 1315.395, usercpu_time_millis: 323390, usercpu_time_millis_testing: 2570, usercpu_time_millis_training: 320820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.8619, kappa: 0.8265, kb_relative_information_score: 24177.5575, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.2655, number_of_instances: 30750, precision: 0.863, predictive_accuracy: 0.8622, prior_entropy: 2.4305, recall: 0.8622, relative_absolute_error: 0.2825, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.1871, root_relative_squared_error: 0.5136, scimark_benchmark: 1318.5526, usercpu_time_millis: 3680770, usercpu_time_millis_training: 3680770,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.7477, kappa: 0.6793, kb_relative_information_score: 21531.5351, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.2655, number_of_instances: 30750, precision: 0.775, predictive_accuracy: 0.7416, prior_entropy: 2.4305, recall: 0.7416, relative_absolute_error: 0.3245, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2929, root_relative_squared_error: 0.8039, scimark_benchmark: 924.1296, usercpu_time_millis: 142190, usercpu_time_millis_testing: 96760, usercpu_time_millis_training: 45430,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8584, f_measure: 0.7579, kappa: 0.6929, kb_relative_information_score: 21901.0026, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.2655, number_of_instances: 30750, precision: 0.7826, predictive_accuracy: 0.7528, prior_entropy: 2.4305, recall: 0.7528, relative_absolute_error: 0.3102, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2862, root_relative_squared_error: 0.7855, scimark_benchmark: 1334.8495, usercpu_time_millis: 115550, usercpu_time_millis_testing: 96230, usercpu_time_millis_training: 19320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.838, kappa: 0.796, kb_relative_information_score: 22755.1803, mean_absolute_error: 0.0949, mean_prior_absolute_error: 0.2655, number_of_instances: 30750, precision: 0.8405, predictive_accuracy: 0.8383, prior_entropy: 2.4305, recall: 0.8383, relative_absolute_error: 0.3573, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.5509, scimark_benchmark: 1315.4655, usercpu_time_millis: 2168750, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 2168680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.8296, kappa: 0.7853, kb_relative_information_score: 22660.0698, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.2655, number_of_instances: 30750, precision: 0.8318, predictive_accuracy: 0.8297, prior_entropy: 2.4305, recall: 0.8297, relative_absolute_error: 0.3581, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2046, root_relative_squared_error: 0.5615, scimark_benchmark: 915.9693, usercpu_time_millis: 1829450, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1829400,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8896, f_measure: 0.7821, kappa: 0.727, kb_relative_information_score: 22089.3996, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.2655, number_of_instances: 30750, precision: 0.7823, predictive_accuracy: 0.7826, prior_entropy: 2.4305, recall: 0.7826, relative_absolute_error: 0.3331, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.6848, scimark_benchmark: 939.9176, usercpu_time_millis: 1785350, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1785320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6603, f_measure: 0.3536, kappa: 0.2544, kb_relative_information_score: 6650.8042, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.2655, number_of_instances: 30750, precision: 0.3272, predictive_accuracy: 0.4667, prior_entropy: 2.4305, recall: 0.4667, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.9115, scimark_benchmark: 1464.9318, usercpu_time_millis: 18690, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 18680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.7847, kappa: 0.7302, kb_relative_information_score: 22359.4132, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.2655, number_of_instances: 30750, precision: 0.7851, predictive_accuracy: 0.7854, prior_entropy: 2.4305, recall: 0.7854, relative_absolute_error: 0.3117, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.6963, scimark_benchmark: 1368.9272, usercpu_time_millis: 324290, usercpu_time_millis_testing: 2170, usercpu_time_millis_training: 322120,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.6857, kappa: 0.6154, kb_relative_information_score: 19344.5964, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.2655, number_of_instances: 30750, precision: 0.7102, predictive_accuracy: 0.7012, prior_entropy: 2.4305, recall: 0.7012, relative_absolute_error: 0.3751, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3156, root_relative_squared_error: 0.8662, scimark_benchmark: 1299.5783, usercpu_time_millis: 6347080, usercpu_time_millis_testing: 3499720, usercpu_time_millis_training: 2847360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.8809, kappa: 0.8504, kb_relative_information_score: 25744.7407, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.2655, number_of_instances: 30750, precision: 0.882, predictive_accuracy: 0.8812, prior_entropy: 2.4305, recall: 0.8812, relative_absolute_error: 0.2051, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.4825, scimark_benchmark: 1307.3269, usercpu_time_millis: 1676480, usercpu_time_millis_testing: 7890, usercpu_time_millis_training: 1668590,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6603, f_measure: 0.3536, kappa: 0.2544, kb_relative_information_score: 6650.8042, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.2655, number_of_instances: 30750, precision: 0.3272, predictive_accuracy: 0.4667, prior_entropy: 2.4305, recall: 0.4667, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.9115, scimark_benchmark: 918.0213, usercpu_time_millis: 22600, usercpu_time_millis_training: 22600,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6603, f_measure: 0.3536, kappa: 0.2544, kb_relative_information_score: 6650.8042, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.2655, number_of_instances: 30750, precision: 0.3272, predictive_accuracy: 0.4667, prior_entropy: 2.4305, recall: 0.4667, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.9115, scimark_benchmark: 1372.2145, usercpu_time_millis: 20100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6603, f_measure: 0.3536, kappa: 0.2544, kb_relative_information_score: 6650.8042, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.2655, number_of_instances: 30750, precision: 0.3272, predictive_accuracy: 0.4667, prior_entropy: 2.4305, recall: 0.4667, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.9115, scimark_benchmark: 1318.1432, usercpu_time_millis: 20750, usercpu_time_millis_training: 20750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6603, f_measure: 0.3536, kappa: 0.2544, kb_relative_information_score: 6650.8042, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.2655, number_of_instances: 30750, precision: 0.3272, predictive_accuracy: 0.4667, prior_entropy: 2.4305, recall: 0.4667, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.9115, scimark_benchmark: 1321.9426, usercpu_time_millis: 20500, usercpu_time_millis_training: 20500,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6603, f_measure: 0.3536, kappa: 0.2544, kb_relative_information_score: 6650.8042, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.2655, number_of_instances: 30750, precision: 0.3272, predictive_accuracy: 0.4667, prior_entropy: 2.4305, recall: 0.4667, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3321, root_relative_squared_error: 0.9115, scimark_benchmark: 1372.2145, usercpu_time_millis: 20180, usercpu_time_millis_training: 20180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6836, f_measure: 0.3009, kappa: 0.2029, kb_relative_information_score: 9120.3386, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.2655, number_of_instances: 30750, precision: 0.6682, predictive_accuracy: 0.3232, prior_entropy: 2.4305, recall: 0.3232, relative_absolute_error: 0.8431, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.4195, root_relative_squared_error: 1.1515, scimark_benchmark: 1318.1432, usercpu_time_millis: 64950, usercpu_time_millis_testing: 64950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.3379, kappa: 0.2412, kb_relative_information_score: 10109.5461, mean_absolute_error: 0.214, mean_prior_absolute_error: 0.2655, number_of_instances: 30750, precision: 0.6388, predictive_accuracy: 0.3606, prior_entropy: 2.4305, recall: 0.3606, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.4121, root_relative_squared_error: 1.1311, scimark_benchmark: 934.4732, usercpu_time_millis: 73230, usercpu_time_millis_testing: 73220, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.6717, kappa: 0.5954, kb_relative_information_score: 7606.7309, mean_absolute_error: 0.2364, mean_prior_absolute_error: 0.2655, number_of_instances: 30750, precision: 0.7634, predictive_accuracy: 0.6866, prior_entropy: 2.4305, recall: 0.6866, relative_absolute_error: 0.8904, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3322, root_relative_squared_error: 0.9117, scimark_benchmark: 915.6729, usercpu_time_millis: 148670, usercpu_time_millis_testing: 110740, usercpu_time_millis_training: 37930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.7785, kappa: 0.7209, kb_relative_information_score: 21116.0603, mean_absolute_error: 0.101, mean_prior_absolute_error: 0.2655, number_of_instances: 30750, precision: 0.7801, predictive_accuracy: 0.7785, prior_entropy: 2.4305, recall: 0.7785, relative_absolute_error: 0.3804, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2446, root_relative_squared_error: 0.6714, scimark_benchmark: 1336.3256, usercpu_time_millis: 1402650, usercpu_time_millis_training: 1402650,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.8633, kappa: 0.8286, kb_relative_information_score: 9850.1472, mean_absolute_error: 0.2269, mean_prior_absolute_error: 0.2655, number_of_instances: 30750, precision: 0.8644, predictive_accuracy: 0.8636, prior_entropy: 2.4305, recall: 0.8636, relative_absolute_error: 0.8545, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.8712, scimark_benchmark: 825.5282, usercpu_time_millis: 16520, usercpu_time_millis_testing: 1460, usercpu_time_millis_training: 15060,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.9, kappa: 0.8746, kb_relative_information_score: 27044.9076, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.2655, number_of_instances: 30750, precision: 0.9, predictive_accuracy: 0.9002, prior_entropy: 2.4305, recall: 0.9002, relative_absolute_error: 0.1253, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.5006, scimark_benchmark: 942.9518, usercpu_time_millis: 1360, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 1330,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.8241, kappa: 0.7907, kb_relative_information_score: 15982.58, mean_absolute_error: 0.1705, mean_prior_absolute_error: 0.2655, number_of_instances: 30750, precision: 0.8573, predictive_accuracy: 0.8372, prior_entropy: 2.4305, recall: 0.8372, relative_absolute_error: 0.6421, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2529, root_relative_squared_error: 0.6942, scimark_benchmark: 1333.1164, usercpu_time_millis: 102690, usercpu_time_millis_testing: 2550, usercpu_time_millis_training: 100140,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9223, f_measure: 0.7784, kappa: 0.7213, kb_relative_information_score: 21371.1013, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.2655, number_of_instances: 30750, precision: 0.7797, predictive_accuracy: 0.7787, prior_entropy: 2.4305, recall: 0.7787, relative_absolute_error: 0.3753, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.6579, scimark_benchmark: 1369.9744, usercpu_time_millis: 150960, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 150950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6949, f_measure: 0.5086, kappa: 0.3848, kb_relative_information_score: 12918.0776, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.2655, number_of_instances: 30750, precision: 0.5091, predictive_accuracy: 0.5096, prior_entropy: 2.4305, recall: 0.5096, relative_absolute_error: 0.6157, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.4043, root_relative_squared_error: 1.1097, scimark_benchmark: 1316.0472, usercpu_time_millis: 1540, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8526, f_measure: 0.7643, kappa: 0.7035, kb_relative_information_score: 22087.8168, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.2655, number_of_instances: 30750, precision: 0.7652, predictive_accuracy: 0.7645, prior_entropy: 2.4305, recall: 0.7645, relative_absolute_error: 0.2957, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2802, root_relative_squared_error: 0.7691, scimark_benchmark: 1335.643, usercpu_time_millis: 3662890, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 3662880,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8839, f_measure: 0.7823, kappa: 0.7283, kb_relative_information_score: 22538.1427, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.2655, number_of_instances: 30750, precision: 0.782, predictive_accuracy: 0.7833, prior_entropy: 2.4305, recall: 0.7833, relative_absolute_error: 0.2859, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.262, root_relative_squared_error: 0.719, scimark_benchmark: 1337.446, usercpu_time_millis: 1062260, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 1062210,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.623, f_measure: 0.3536, kappa: 0.2544, kb_relative_information_score: 9516.4662, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.2655, number_of_instances: 30750, precision: 0.3272, predictive_accuracy: 0.4667, prior_entropy: 2.4305, recall: 0.4667, relative_absolute_error: 0.6696, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.4216, root_relative_squared_error: 1.1573, scimark_benchmark: 1466.6185, usercpu_time_millis: 9540, usercpu_time_millis_training: 9540,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8637, f_measure: 0.7706, kappa: 0.7131, kb_relative_information_score: 22079.2205, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.2655, number_of_instances: 30750, precision: 0.7703, predictive_accuracy: 0.7714, prior_entropy: 2.4305, recall: 0.7714, relative_absolute_error: 0.3123, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.2666, root_relative_squared_error: 0.7316, scimark_benchmark: 1367.4715, usercpu_time_millis: 452310, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 452280,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4977, f_measure: 0.1338, kb_relative_information_score: 5.0393, mean_absolute_error: 0.2655, mean_prior_absolute_error: 0.2655, number_of_instances: 30750, precision: 0.0866, predictive_accuracy: 0.2943, prior_entropy: 2.4305, recall: 0.2943, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.3643, root_relative_squared_error: 1, scimark_benchmark: 1466.6185, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

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    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)

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