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OpenML
Task
Supervised Classification on wine

Supervised Classification on wine

Task 3836 Supervised Classification wine 560 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • study_1 study_107 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9545, kappa: 0.9045, kb_relative_information_score: 156.2097, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9582, predictive_accuracy: 0.9551, prior_entropy: 0.971, recall: 0.9551, relative_absolute_error: 0.1248, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1981, root_relative_squared_error: 0.4046, scimark_benchmark: 1325.2092, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9775, kappa: 0.9529, kb_relative_information_score: 169.3975, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9777, predictive_accuracy: 0.9775, prior_entropy: 0.971, recall: 0.9775, relative_absolute_error: 0.0468, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.3061, scimark_benchmark: 1363.454, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4514, kb_relative_information_score: 27.3245, mean_absolute_error: 0.3989, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.3614, predictive_accuracy: 0.6011, prior_entropy: 0.971, recall: 0.6011, relative_absolute_error: 0.8314, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.6316, root_relative_squared_error: 1.2898, scimark_benchmark: 869.6028, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9774, kappa: 0.9527, kb_relative_information_score: 169.3975, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9783, predictive_accuracy: 0.9775, prior_entropy: 0.971, recall: 0.9775, relative_absolute_error: 0.0468, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.3061, scimark_benchmark: 938.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9774, kappa: 0.9527, kb_relative_information_score: 162.7344, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9783, predictive_accuracy: 0.9775, prior_entropy: 0.971, recall: 0.9775, relative_absolute_error: 0.0923, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.2817, scimark_benchmark: 942.9708, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7752, f_measure: 0.7769, kappa: 0.5401, kb_relative_information_score: 93.0598, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.7817, predictive_accuracy: 0.7753, prior_entropy: 0.971, recall: 0.7753, relative_absolute_error: 0.4684, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9681, scimark_benchmark: 938.9967, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9831, kappa: 0.9648, kb_relative_information_score: 157.9494, mean_absolute_error: 0.0629, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9832, predictive_accuracy: 0.9831, prior_entropy: 0.971, recall: 0.9831, relative_absolute_error: 0.1312, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1358, root_relative_squared_error: 0.2774, scimark_benchmark: 887.6719, usercpu_time_millis: 200, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5352, f_measure: 0.5119, kappa: 0.0835, kb_relative_information_score: 37.927, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.7707, predictive_accuracy: 0.6292, prior_entropy: 0.971, recall: 0.6292, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.6089, root_relative_squared_error: 1.2435, scimark_benchmark: 1337.7959, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9944, kappa: 0.9883, kb_relative_information_score: 170.3206, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9944, predictive_accuracy: 0.9944, prior_entropy: 0.971, recall: 0.9944, relative_absolute_error: 0.0481, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.1831, scimark_benchmark: 1028.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9887, kappa: 0.9765, kb_relative_information_score: 168.5151, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.989, predictive_accuracy: 0.9888, prior_entropy: 0.971, recall: 0.9888, relative_absolute_error: 0.0585, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1102, root_relative_squared_error: 0.225, scimark_benchmark: 934.0566, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9887, kappa: 0.9765, kb_relative_information_score: 169.5219, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.989, predictive_accuracy: 0.9888, prior_entropy: 0.971, recall: 0.9888, relative_absolute_error: 0.0523, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1016, root_relative_squared_error: 0.2075, scimark_benchmark: 930.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9719, kappa: 0.9413, kb_relative_information_score: 162.6974, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9719, predictive_accuracy: 0.9719, prior_entropy: 0.971, recall: 0.9719, relative_absolute_error: 0.0912, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1511, root_relative_squared_error: 0.3085, scimark_benchmark: 940.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9831, kappa: 0.9646, kb_relative_information_score: 151.1434, mean_absolute_error: 0.084, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9836, predictive_accuracy: 0.9831, prior_entropy: 0.971, recall: 0.9831, relative_absolute_error: 0.1751, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.157, root_relative_squared_error: 0.3207, scimark_benchmark: 1291.6995, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.938, kappa: 0.8702, kb_relative_information_score: 154.5541, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9383, predictive_accuracy: 0.9382, prior_entropy: 0.971, recall: 0.9382, relative_absolute_error: 0.1288, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2486, root_relative_squared_error: 0.5077, scimark_benchmark: 1361.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9017, f_measure: 0.9204, kappa: 0.8328, kb_relative_information_score: 137.9644, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9235, predictive_accuracy: 0.9213, prior_entropy: 0.971, recall: 0.9213, relative_absolute_error: 0.2413, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.5587, scimark_benchmark: 1372.2145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.8986, kappa: 0.7881, kb_relative_information_score: 133.393, mean_absolute_error: 0.1244, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.8986, predictive_accuracy: 0.8989, prior_entropy: 0.971, recall: 0.8989, relative_absolute_error: 0.2593, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6284, scimark_benchmark: 1327.6929, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9227, f_measure: 0.9269, kappa: 0.8473, kb_relative_information_score: 150.3131, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9268, predictive_accuracy: 0.927, prior_entropy: 0.971, recall: 0.927, relative_absolute_error: 0.1522, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.5519, scimark_benchmark: 1372.2145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5374, f_measure: 0.3187, kappa: 0.0606, kb_relative_information_score: -32.0493, mean_absolute_error: 0.5562, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.7677, predictive_accuracy: 0.4438, prior_entropy: 0.971, recall: 0.4438, relative_absolute_error: 1.1593, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.7458, root_relative_squared_error: 1.523, scimark_benchmark: 1337.7959, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9189, f_measure: 0.9094, kappa: 0.8099, kb_relative_information_score: 142.6349, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9108, predictive_accuracy: 0.9101, prior_entropy: 0.971, recall: 0.9101, relative_absolute_error: 0.1974, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2938, root_relative_squared_error: 0.6, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.869, kappa: 0.7247, kb_relative_information_score: 129.1082, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.8721, predictive_accuracy: 0.8708, prior_entropy: 0.971, recall: 0.8708, relative_absolute_error: 0.2693, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.3595, root_relative_squared_error: 0.7341, scimark_benchmark: 1351.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.9322, kappa: 0.8581, kb_relative_information_score: 152.4336, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9329, predictive_accuracy: 0.9326, prior_entropy: 0.971, recall: 0.9326, relative_absolute_error: 0.1405, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2596, root_relative_squared_error: 0.5302, scimark_benchmark: 1353.5686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4839, f_measure: 0.4514, kb_relative_information_score: -0.0857, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.3614, predictive_accuracy: 0.6011, prior_entropy: 0.971, recall: 0.6011, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.4897, root_relative_squared_error: 1.0002, scimark_benchmark: 1330.0803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9218, f_measure: 0.9262, kappa: 0.8451, kb_relative_information_score: 149.6901, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9286, predictive_accuracy: 0.927, prior_entropy: 0.971, recall: 0.927, relative_absolute_error: 0.157, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2696, root_relative_squared_error: 0.5506, scimark_benchmark: 1605.6303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9489, kappa: 0.8928, kb_relative_information_score: 159.9655, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9516, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.0988, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.436, scimark_benchmark: 927.0753, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9506, f_measure: 0.9491, kappa: 0.8933, kb_relative_information_score: 158.5062, mean_absolute_error: 0.0515, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9503, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1074, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2197, root_relative_squared_error: 0.4487, scimark_benchmark: 945.7621, usercpu_time_millis: 160, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9492, kappa: 0.8938, kb_relative_information_score: 158.823, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9496, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1055, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.4428, scimark_benchmark: 942.3168, usercpu_time_millis: 260, usercpu_time_millis_testing: 80, usercpu_time_millis_training: 180,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9492, kappa: 0.8938, kb_relative_information_score: 158.2533, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9496, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1092, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2236, root_relative_squared_error: 0.4567, scimark_benchmark: 894.7455, usercpu_time_millis: 110, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9717, kappa: 0.9407, kb_relative_information_score: 167.2699, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9732, predictive_accuracy: 0.9719, prior_entropy: 0.971, recall: 0.9719, relative_absolute_error: 0.0586, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.3416, scimark_benchmark: 936.7115, usercpu_time_millis: 130, usercpu_time_millis_training: 130,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.966, kappa: 0.9287, kb_relative_information_score: 164.6974, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9681, predictive_accuracy: 0.9663, prior_entropy: 0.971, recall: 0.9663, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.3715, scimark_benchmark: 943.2817, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.966, kappa: 0.9287, kb_relative_information_score: 164.0892, mean_absolute_error: 0.0371, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9681, predictive_accuracy: 0.9663, prior_entropy: 0.971, recall: 0.9663, relative_absolute_error: 0.0773, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1852, root_relative_squared_error: 0.3783, scimark_benchmark: 911.3823, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9487, kappa: 0.8923, kb_relative_information_score: 158.5989, mean_absolute_error: 0.0512, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9534, predictive_accuracy: 0.9494, prior_entropy: 0.971, recall: 0.9494, relative_absolute_error: 0.1068, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.453, scimark_benchmark: 934.5243, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9257, kappa: 0.8436, kb_relative_information_score: 149.6134, mean_absolute_error: 0.0756, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9322, predictive_accuracy: 0.927, prior_entropy: 0.971, recall: 0.927, relative_absolute_error: 0.1575, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.26, root_relative_squared_error: 0.531, scimark_benchmark: 938.4278, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9717, kappa: 0.9407, kb_relative_information_score: 167.7111, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9732, predictive_accuracy: 0.9719, prior_entropy: 0.971, recall: 0.9719, relative_absolute_error: 0.0555, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.3229, scimark_benchmark: 933.8635, usercpu_time_millis: 110, usercpu_time_millis_training: 110,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, build_cpu_time: 0.2015, build_memory: 950103163.9551, f_measure: 0.9774, kappa: 0.9527, kb_relative_information_score: 169.3975, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.4798, number_of_instances: 178, precision: 0.9783, predictive_accuracy: 0.9775, prior_entropy: 0.971, recall: 0.9775, relative_absolute_error: 0.0468, root_mean_prior_squared_error: 0.4897, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.3061, scimark_benchmark: 937.5625,

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