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File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
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File: /var/www/openml/index.php
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Function: require_once

OpenML
Task
Supervised Classification on mfeat-karhunen

Supervised Classification on mfeat-karhunen

Task 1780 Supervised Classification mfeat-karhunen 307 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9503, kappa: 0.9448, kb_relative_information_score: 9470.6439, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9527, predictive_accuracy: 0.9503, prior_entropy: 3.3219, recall: 0.9503, relative_absolute_error: 0.0811, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0886, root_relative_squared_error: 0.2953, scimark_benchmark: 869.6028, usercpu_time_millis: 2700, usercpu_time_millis_testing: 2700,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.8972, kappa: 0.8864, kb_relative_information_score: 2899.9741, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8998, predictive_accuracy: 0.8978, prior_entropy: 3.3219, recall: 0.8978, relative_absolute_error: 0.894, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9126, scimark_benchmark: 882.7843, usercpu_time_millis: 15420, usercpu_time_millis_testing: 12640, usercpu_time_millis_training: 2780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9583, kappa: 0.9537, kb_relative_information_score: 2956.6043, mean_absolute_error: 0.1604, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9588, predictive_accuracy: 0.9583, prior_entropy: 3.3219, recall: 0.9583, relative_absolute_error: 0.8913, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2726, root_relative_squared_error: 0.9087, scimark_benchmark: 939.449, usercpu_time_millis: 720, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 620,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.9451, kappa: 0.939, kb_relative_information_score: 9369.6725, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9453, predictive_accuracy: 0.9451, prior_entropy: 3.3219, recall: 0.9451, relative_absolute_error: 0.0937, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.3039, scimark_benchmark: 944.4621, usercpu_time_millis: 4820, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 4800,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.9132, kappa: 0.9038, kb_relative_information_score: 9094.374, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9134, predictive_accuracy: 0.9134, prior_entropy: 3.3219, recall: 0.9134, relative_absolute_error: 0.0962, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1316, root_relative_squared_error: 0.4387, scimark_benchmark: 938.9967, usercpu_time_millis: 760, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 750,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.904, kappa: 0.8929, kb_relative_information_score: 9062.3836, mean_absolute_error: 0.0202, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.905, predictive_accuracy: 0.9036, prior_entropy: 3.3219, recall: 0.9036, relative_absolute_error: 0.1124, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.4142, scimark_benchmark: 1250.8301, usercpu_time_millis: 140, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.7961, kappa: 0.7729, kb_relative_information_score: 7687.7251, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.798, predictive_accuracy: 0.7956, prior_entropy: 3.3219, recall: 0.7956, relative_absolute_error: 0.2781, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.175, root_relative_squared_error: 0.5833, scimark_benchmark: 1325.942, usercpu_time_millis: 120150, usercpu_time_millis_testing: 1510, usercpu_time_millis_training: 118640,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9511, kappa: 0.9457, kb_relative_information_score: 7698.3619, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9513, predictive_accuracy: 0.9511, prior_entropy: 3.3219, recall: 0.9511, relative_absolute_error: 0.4085, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.146, root_relative_squared_error: 0.4867, scimark_benchmark: 1346.9602, usercpu_time_millis: 2070, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 1920,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.812, f_measure: 0.6613, kappa: 0.624, kb_relative_information_score: 6461.1567, mean_absolute_error: 0.0677, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6616, predictive_accuracy: 0.6616, prior_entropy: 3.3219, recall: 0.6616, relative_absolute_error: 0.376, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2602, root_relative_squared_error: 0.8672, scimark_benchmark: 1073.494, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.7456, kappa: 0.7186, kb_relative_information_score: 7074.6128, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7453, predictive_accuracy: 0.7467, prior_entropy: 3.3219, recall: 0.7467, relative_absolute_error: 0.3695, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.6773, scimark_benchmark: 1280.6952, usercpu_time_millis: 110, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.7833, kappa: 0.7596, kb_relative_information_score: 7581.7513, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.7838, predictive_accuracy: 0.7836, prior_entropy: 3.3219, recall: 0.7836, relative_absolute_error: 0.289, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.6481, scimark_benchmark: 1321.6263, usercpu_time_millis: 2360, usercpu_time_millis_training: 2360,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.788, kappa: 0.7587, kb_relative_information_score: 7728.6147, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8077, predictive_accuracy: 0.7828, prior_entropy: 3.3219, recall: 0.7828, relative_absolute_error: 0.2413, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.6947, scimark_benchmark: 1315.395, usercpu_time_millis: 2330, usercpu_time_millis_testing: 1310, usercpu_time_millis_training: 1020,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5016, f_measure: 0.0238, kappa: 0.0031, kb_relative_information_score: 617.4638, mean_absolute_error: 0.1794, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.41, predictive_accuracy: 0.1028, prior_entropy: 3.3219, recall: 0.1028, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4236, root_relative_squared_error: 1.412, scimark_benchmark: 1368.9272, usercpu_time_millis: 2830, usercpu_time_millis_testing: 630, usercpu_time_millis_training: 2200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8951, f_measure: 0.8006, kappa: 0.7783, kb_relative_information_score: 7879.5396, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8009, predictive_accuracy: 0.8005, prior_entropy: 3.3219, recall: 0.8005, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.6563, scimark_benchmark: 1384.4418, usercpu_time_millis: 710, usercpu_time_millis_training: 710,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6201, f_measure: 0.3053, kappa: 0.2401, kb_relative_information_score: 2848.0645, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.3057, predictive_accuracy: 0.3161, prior_entropy: 3.3219, recall: 0.3161, relative_absolute_error: 0.7599, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3698, root_relative_squared_error: 1.2328, scimark_benchmark: 1465.2979, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8744, f_measure: 0.7744, kappa: 0.7488, kb_relative_information_score: 7635.5423, mean_absolute_error: 0.0452, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.776, predictive_accuracy: 0.7739, prior_entropy: 3.3219, recall: 0.7739, relative_absolute_error: 0.2512, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.7088, scimark_benchmark: 1028.5889, usercpu_time_millis: 41460, usercpu_time_millis_training: 41460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0182, mean_absolute_error: 0.18, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.01, predictive_accuracy: 0.1, prior_entropy: 3.3219, recall: 0.1, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3, root_relative_squared_error: 1, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.7862, kappa: 0.7628, kb_relative_information_score: 7769.5189, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.786, predictive_accuracy: 0.7865, prior_entropy: 3.3219, recall: 0.7865, relative_absolute_error: 0.2506, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.6598, scimark_benchmark: 1066.833, usercpu_time_millis: 340, usercpu_time_millis_training: 340,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, build_cpu_time: 15.4503, build_memory: 1138059460, f_measure: 0.9431, kappa: 0.9368, kb_relative_information_score: 9408.023, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9432, predictive_accuracy: 0.9431, prior_entropy: 3.3219, recall: 0.9431, relative_absolute_error: 0.0632, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.3537, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, build_cpu_time: 8.795, build_memory: 1046678924, f_measure: 0.9458, kappa: 0.9398, kb_relative_information_score: 9441.4925, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.946, predictive_accuracy: 0.9458, prior_entropy: 3.3219, recall: 0.9458, relative_absolute_error: 0.0598, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.103, root_relative_squared_error: 0.3433, scimark_benchmark: 926.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, build_cpu_time: 4.0159, build_memory: 758104108, f_measure: 0.9476, kappa: 0.9418, kb_relative_information_score: 9461.1367, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9478, predictive_accuracy: 0.9476, prior_entropy: 3.3219, recall: 0.9476, relative_absolute_error: 0.0584, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.3357, scimark_benchmark: 923.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, build_cpu_time: 1.5015, build_memory: 548876249.6, f_measure: 0.8905, kappa: 0.8786, kb_relative_information_score: 8789.4919, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.8907, predictive_accuracy: 0.8907, prior_entropy: 3.3219, recall: 0.8907, relative_absolute_error: 0.1623, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.4237, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, build_cpu_time: 2.9804, build_memory: 656454087.2, f_measure: 0.9136, kappa: 0.9041, kb_relative_information_score: 9122.3194, mean_absolute_error: 0.0198, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9138, predictive_accuracy: 0.9137, prior_entropy: 3.3219, recall: 0.9137, relative_absolute_error: 0.1101, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.3839, scimark_benchmark: 935.1201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, build_cpu_time: 6.1355, build_memory: 666684573.6, f_measure: 0.9312, kappa: 0.9236, kb_relative_information_score: 9296.2866, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9314, predictive_accuracy: 0.9312, prior_entropy: 3.3219, recall: 0.9312, relative_absolute_error: 0.0841, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.107, root_relative_squared_error: 0.3568, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, build_cpu_time: 11.7261, build_memory: 755221953.6, f_measure: 0.9361, kappa: 0.929, kb_relative_information_score: 9349.9879, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9364, predictive_accuracy: 0.9361, prior_entropy: 3.3219, recall: 0.9361, relative_absolute_error: 0.075, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1051, root_relative_squared_error: 0.3505, scimark_benchmark: 918.9027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, build_cpu_time: 17.2142, build_memory: 73318392.8, f_measure: 0.9388, kappa: 0.932, kb_relative_information_score: 9369.8239, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9391, predictive_accuracy: 0.9388, prior_entropy: 3.3219, recall: 0.9388, relative_absolute_error: 0.0722, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1041, root_relative_squared_error: 0.347, scimark_benchmark: 943.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, build_cpu_time: 0.0196, build_memory: 669024525.6, f_measure: 0.6832, kappa: 0.6472, kb_relative_information_score: 6679.72, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6842, predictive_accuracy: 0.6825, prior_entropy: 3.3219, recall: 0.6825, relative_absolute_error: 0.3528, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.252, root_relative_squared_error: 0.84, scimark_benchmark: 926.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, build_cpu_time: 0.0311, build_memory: 2601013432, f_measure: 0.6832, kappa: 0.6472, kb_relative_information_score: 6679.72, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6842, predictive_accuracy: 0.6825, prior_entropy: 3.3219, recall: 0.6825, relative_absolute_error: 0.3528, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.252, root_relative_squared_error: 0.84, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, build_cpu_time: 0.0183, build_memory: 2384169204, f_measure: 0.6832, kappa: 0.6472, kb_relative_information_score: 6679.72, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6842, predictive_accuracy: 0.6825, prior_entropy: 3.3219, recall: 0.6825, relative_absolute_error: 0.3528, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.252, root_relative_squared_error: 0.84, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, build_cpu_time: 0.0271, build_memory: 545994404.8, f_measure: 0.6832, kappa: 0.6472, kb_relative_information_score: 6679.72, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6842, predictive_accuracy: 0.6825, prior_entropy: 3.3219, recall: 0.6825, relative_absolute_error: 0.3528, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.252, root_relative_squared_error: 0.84, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8236, build_cpu_time: 0.0265, build_memory: 760817132, f_measure: 0.6832, kappa: 0.6472, kb_relative_information_score: 6679.72, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.6842, predictive_accuracy: 0.6825, prior_entropy: 3.3219, recall: 0.6825, relative_absolute_error: 0.3528, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.252, root_relative_squared_error: 0.84, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, build_cpu_time: 0.9572, build_memory: 1834198887.2, f_measure: 0.9499, kappa: 0.9443, kb_relative_information_score: 7691.9188, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.9501, predictive_accuracy: 0.9499, prior_entropy: 3.3219, recall: 0.9499, relative_absolute_error: 0.4097, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1463, root_relative_squared_error: 0.4878, scimark_benchmark: 943.8094,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6239, build_cpu_time: 0.0868, build_memory: 194284296.8, f_measure: 0.313, kappa: 0.2478, kb_relative_information_score: 2920.2218, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.18, number_of_instances: 10000, precision: 0.3171, predictive_accuracy: 0.323, prior_entropy: 3.3219, recall: 0.323, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.368, root_relative_squared_error: 1.2266, scimark_benchmark: 941.7372,
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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