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OpenML
OpenML
Supervised Classification on mfeat-morphological

Supervised Classification on mfeat-morphological

Task 18 Supervised Classification mfeat-morphological 21769 runs submitted
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  • at2 basic OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_7 study_70 study_98 study_99 under100k under1m
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21769 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.7012, kappa: 0.6694, kb_relative_information_score: 1502.5278, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7016, predictive_accuracy: 0.7025, prior_entropy: 3.3219, recall: 0.7025, relative_absolute_error: 0.3509, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2034, root_relative_squared_error: 0.678, scimark_benchmark: 937.6212, usercpu_time_millis: 440, usercpu_time_millis_testing: 440,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9207, f_measure: 0.5246, kappa: 0.5228, kb_relative_information_score: 519.6113, mean_absolute_error: 0.1634, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5544, predictive_accuracy: 0.5705, prior_entropy: 3.3219, recall: 0.5705, relative_absolute_error: 0.9077, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.9276, scimark_benchmark: 930.5999, usercpu_time_millis: 8640, usercpu_time_millis_testing: 3410, usercpu_time_millis_training: 5230,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.7058, kappa: 0.6767, kb_relative_information_score: 555.2577, mean_absolute_error: 0.1619, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.715, predictive_accuracy: 0.709, prior_entropy: 3.3219, recall: 0.709, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2757, root_relative_squared_error: 0.919, scimark_benchmark: 894.7222, usercpu_time_millis: 230, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 220,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.738, kappa: 0.7094, kb_relative_information_score: 1517.8171, mean_absolute_error: 0.0675, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7412, predictive_accuracy: 0.7385, prior_entropy: 3.3219, recall: 0.7385, relative_absolute_error: 0.3753, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1809, root_relative_squared_error: 0.6029, scimark_benchmark: 938.9967, usercpu_time_millis: 1820, usercpu_time_millis_training: 1820,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5303, f_measure: 0.1237, kappa: 0.0606, kb_relative_information_score: 231.6241, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.1247, predictive_accuracy: 0.1545, prior_entropy: 3.3219, recall: 0.1545, relative_absolute_error: 0.9394, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.4112, root_relative_squared_error: 1.3707, scimark_benchmark: 1304.9611, usercpu_time_millis: 1490, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1480,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9474, f_measure: 0.6912, kappa: 0.6639, kb_relative_information_score: 1405.3108, mean_absolute_error: 0.0758, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6935, predictive_accuracy: 0.6975, prior_entropy: 3.3219, recall: 0.6975, relative_absolute_error: 0.4211, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2009, root_relative_squared_error: 0.6697, scimark_benchmark: 1368.9272, usercpu_time_millis: 1080, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 940,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, f_measure: 0.6428, kappa: 0.6022, kb_relative_information_score: 1265.7753, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6447, predictive_accuracy: 0.642, prior_entropy: 3.3219, recall: 0.642, relative_absolute_error: 0.3964, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.8815, scimark_benchmark: 1319.9043, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.6827, kappa: 0.6817, kb_relative_information_score: 1471.0077, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7032, predictive_accuracy: 0.7135, prior_entropy: 3.3219, recall: 0.7135, relative_absolute_error: 0.3834, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.6514, scimark_benchmark: 1280.6952, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.6987, kappa: 0.6889, kb_relative_information_score: 1460.1018, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7141, predictive_accuracy: 0.72, prior_entropy: 3.3219, recall: 0.72, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1936, root_relative_squared_error: 0.6455, scimark_benchmark: 1355.7054, usercpu_time_millis: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8183, f_measure: 0.6726, kappa: 0.6367, kb_relative_information_score: 1316.0746, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6728, predictive_accuracy: 0.673, prior_entropy: 3.3219, recall: 0.673, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2557, root_relative_squared_error: 0.8524, scimark_benchmark: 1325.2092, usercpu_time_millis: 260, usercpu_time_millis_testing: 150, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6228, f_measure: 0.2609, kappa: 0.2456, kb_relative_information_score: 579.8613, mean_absolute_error: 0.1358, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.3843, predictive_accuracy: 0.321, prior_entropy: 3.3219, recall: 0.321, relative_absolute_error: 0.7544, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3685, root_relative_squared_error: 1.2284, scimark_benchmark: 1384.4418, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.6888, kappa: 0.6906, kb_relative_information_score: 1496.5492, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6982, predictive_accuracy: 0.7215, prior_entropy: 3.3219, recall: 0.7215, relative_absolute_error: 0.3513, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1991, root_relative_squared_error: 0.6638, scimark_benchmark: 1465.2979, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.4669, kappa: 0.4183, kb_relative_information_score: 905.0919, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.4641, predictive_accuracy: 0.4765, prior_entropy: 3.3219, recall: 0.4765, relative_absolute_error: 0.5817, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.3236, root_relative_squared_error: 1.0786, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.7196, kappa: 0.7128, kb_relative_information_score: 1495.2291, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7335, predictive_accuracy: 0.7415, prior_entropy: 3.3219, recall: 0.7415, relative_absolute_error: 0.3005, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.6788, scimark_benchmark: 923.7642, usercpu_time_millis: 68540, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 68460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8322, f_measure: 0.6805, kappa: 0.6644, kb_relative_information_score: 1368.3625, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6866, predictive_accuracy: 0.698, prior_entropy: 3.3219, recall: 0.698, relative_absolute_error: 0.3356, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.8192, scimark_benchmark: 1028.5889, usercpu_time_millis: 1630, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1620,
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: 2000, 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: 0.919, f_measure: 0.6932, kappa: 0.6939, kb_relative_information_score: 1491.9171, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6979, predictive_accuracy: 0.7245, prior_entropy: 3.3219, recall: 0.7245, relative_absolute_error: 0.3544, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.665, scimark_benchmark: 1054.3694, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.6798, kappa: 0.6594, kb_relative_information_score: 600.3167, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6917, predictive_accuracy: 0.6935, prior_entropy: 3.3219, recall: 0.6935, relative_absolute_error: 0.8741, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.8841, scimark_benchmark: 945.6434, usercpu_time_millis: 280, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.6798, kappa: 0.6594, kb_relative_information_score: 600.3167, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6917, predictive_accuracy: 0.6935, prior_entropy: 3.3219, recall: 0.6935, relative_absolute_error: 0.8741, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.8841, scimark_benchmark: 922.9039, usercpu_time_millis: 290, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.6798, kappa: 0.6594, kb_relative_information_score: 600.3167, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6917, predictive_accuracy: 0.6935, prior_entropy: 3.3219, recall: 0.6935, relative_absolute_error: 0.8741, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.8841, scimark_benchmark: 911.0478, usercpu_time_millis: 260, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8567, f_measure: 0.6798, kappa: 0.6594, kb_relative_information_score: 600.3167, mean_absolute_error: 0.1573, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6917, predictive_accuracy: 0.6935, prior_entropy: 3.3219, recall: 0.6935, relative_absolute_error: 0.8741, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2652, root_relative_squared_error: 0.8841, scimark_benchmark: 943.2817, usercpu_time_millis: 260, usercpu_time_millis_testing: 70, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.0801, kappa: 0.1106, kb_relative_information_score: 572.1443, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0577, predictive_accuracy: 0.1995, prior_entropy: 3.3219, recall: 0.1995, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9446, scimark_benchmark: 942.1229, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.0801, kappa: 0.1106, kb_relative_information_score: 572.1443, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0577, predictive_accuracy: 0.1995, prior_entropy: 3.3219, recall: 0.1995, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9446, scimark_benchmark: 926.6717, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.0801, kappa: 0.1106, kb_relative_information_score: 572.1443, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0577, predictive_accuracy: 0.1995, prior_entropy: 3.3219, recall: 0.1995, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9446, scimark_benchmark: 876.8277, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.0801, kappa: 0.1106, kb_relative_information_score: 572.1443, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0577, predictive_accuracy: 0.1995, prior_entropy: 3.3219, recall: 0.1995, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9446, scimark_benchmark: 939.7623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.758, f_measure: 0.0801, kappa: 0.1106, kb_relative_information_score: 572.1443, mean_absolute_error: 0.1606, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.0577, predictive_accuracy: 0.1995, prior_entropy: 3.3219, recall: 0.1995, relative_absolute_error: 0.8923, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2834, root_relative_squared_error: 0.9446, scimark_benchmark: 933.8635, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.6985, kappa: 0.6667, kb_relative_information_score: 1474.3164, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.698, predictive_accuracy: 0.7, prior_entropy: 3.3219, recall: 0.7, relative_absolute_error: 0.3599, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.6691, scimark_benchmark: 924.6116, usercpu_time_millis: 4100, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 4090,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.7117, kappa: 0.6817, kb_relative_information_score: 1501.0234, mean_absolute_error: 0.0641, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7112, predictive_accuracy: 0.7135, prior_entropy: 3.3219, recall: 0.7135, relative_absolute_error: 0.3562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.6413, scimark_benchmark: 924.6116, usercpu_time_millis: 2040, usercpu_time_millis_training: 2040,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.7267, kappa: 0.6972, kb_relative_information_score: 1508.2096, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7276, predictive_accuracy: 0.7275, prior_entropy: 3.3219, recall: 0.7275, relative_absolute_error: 0.3607, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.6272, scimark_benchmark: 932.3943, usercpu_time_millis: 990, usercpu_time_millis_training: 990,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.7296, kappa: 0.7033, kb_relative_information_score: 1504.1217, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7308, predictive_accuracy: 0.733, prior_entropy: 3.3219, recall: 0.733, relative_absolute_error: 0.3703, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.6203, scimark_benchmark: 931.2336, usercpu_time_millis: 520, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 510,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.7206, kappa: 0.6917, kb_relative_information_score: 1480.5639, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7224, predictive_accuracy: 0.7225, prior_entropy: 3.3219, recall: 0.7225, relative_absolute_error: 0.3918, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.6247, scimark_benchmark: 938.9865, usercpu_time_millis: 230, usercpu_time_millis_training: 230,
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: 2000, 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: 938.9865,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9421, build_cpu_time: 82.4359, build_memory: 757645529.6, f_measure: 0.6988, kappa: 0.6661, kb_relative_information_score: 1422.4807, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.6988, predictive_accuracy: 0.6995, prior_entropy: 3.3219, recall: 0.6995, relative_absolute_error: 0.342, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2219, root_relative_squared_error: 0.7396, scimark_benchmark: 923.8078,
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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