Task
Supervised Classification on yeast

Supervised Classification on yeast

Task 2119 Supervised Classification yeast 321 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5451, build_cpu_time: 0.003, build_memory: 1544781520, f_measure: 0.2992, kappa: 0.1045, kb_relative_information_score: 92.91, mean_absolute_error: 0.1342, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.2893, predictive_accuracy: 0.3292, prior_entropy: 2.5035, recall: 0.3292, relative_absolute_error: 0.8636, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3663, root_relative_squared_error: 1.3157, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5451, build_cpu_time: 0.006, build_memory: 222987088, f_measure: 0.2992, kappa: 0.1045, kb_relative_information_score: 92.91, mean_absolute_error: 0.1342, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.2893, predictive_accuracy: 0.3292, prior_entropy: 2.5035, recall: 0.3292, relative_absolute_error: 0.8636, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3663, root_relative_squared_error: 1.3157, scimark_benchmark: 916.8903,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8377, build_cpu_time: 0.603, build_memory: 1517897104, f_measure: 0.6068, kappa: 0.5, kb_relative_information_score: 233.281, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.6103, predictive_accuracy: 0.6155, prior_entropy: 2.5035, recall: 0.6155, relative_absolute_error: 0.6658, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.232, root_relative_squared_error: 0.8335, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7231, build_cpu_time: 0.1, build_memory: 932246720, f_measure: 0.5466, kappa: 0.4262, kb_relative_information_score: 24.8334, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5589, predictive_accuracy: 0.5562, prior_entropy: 2.5035, recall: 0.5562, relative_absolute_error: 1.1163, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2896, root_relative_squared_error: 1.0402, scimark_benchmark: 929.5397,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7231, build_cpu_time: 0.108, build_memory: 618128400, f_measure: 0.5466, kappa: 0.4262, kb_relative_information_score: 24.8334, mean_absolute_error: 0.1734, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5589, predictive_accuracy: 0.5562, prior_entropy: 2.5035, recall: 0.5562, relative_absolute_error: 1.1163, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2896, root_relative_squared_error: 1.0402, scimark_benchmark: 909.5718,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, build_cpu_time: 204.241, build_memory: 111594632, f_measure: 0.5921, kappa: 0.4787, kb_relative_information_score: 237.2755, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5895, predictive_accuracy: 0.5992, prior_entropy: 2.5035, recall: 0.5992, relative_absolute_error: 0.6569, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.8448, scimark_benchmark: 941.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, build_cpu_time: 1.13, build_memory: 882067912, f_measure: 0.5897, kappa: 0.4808, kb_relative_information_score: 233.4025, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5885, predictive_accuracy: 0.5992, prior_entropy: 2.5035, recall: 0.5992, relative_absolute_error: 0.6594, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.8409, scimark_benchmark: 944.4816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8282, build_cpu_time: 0.705, build_memory: 708046208, f_measure: 0.5934, kappa: 0.4854, kb_relative_information_score: 235.8013, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.59, predictive_accuracy: 0.6033, prior_entropy: 2.5035, recall: 0.6033, relative_absolute_error: 0.6553, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2341, root_relative_squared_error: 0.841, scimark_benchmark: 942.9768,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7721, f_measure: 0.5733, kappa: 0.4591, kb_relative_information_score: 236.0175, mean_absolute_error: 0.0942, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5802, predictive_accuracy: 0.5787, prior_entropy: 2.5035, recall: 0.5787, relative_absolute_error: 0.6063, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.951, scimark_benchmark: 1345.842, usercpu_time_millis: 1110, usercpu_time_millis_testing: 220, usercpu_time_millis_training: 890,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6801, f_measure: 0.5049, kappa: 0.3649, kb_relative_information_score: 200.3133, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.507, predictive_accuracy: 0.5051, prior_entropy: 2.5035, recall: 0.5051, relative_absolute_error: 0.6372, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3146, root_relative_squared_error: 1.1301, scimark_benchmark: 1340.1351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.5909, kappa: 0.4785, kb_relative_information_score: 233.3246, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5885, predictive_accuracy: 0.5992, prior_entropy: 2.5035, recall: 0.5992, relative_absolute_error: 0.6623, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.8304, scimark_benchmark: 1281.7531, usercpu_time_millis: 1120, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.5517, kappa: 0.4338, kb_relative_information_score: 206.2338, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.562, predictive_accuracy: 0.5624, prior_entropy: 2.5035, recall: 0.5624, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.8741, scimark_benchmark: 1347.993, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.5421, kappa: 0.4211, kb_relative_information_score: 206.6273, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5458, predictive_accuracy: 0.5521, prior_entropy: 2.5035, recall: 0.5521, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.8749, scimark_benchmark: 938.0414, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.5909, kappa: 0.4785, kb_relative_information_score: 233.3246, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5885, predictive_accuracy: 0.5992, prior_entropy: 2.5035, recall: 0.5992, relative_absolute_error: 0.6623, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.8304, scimark_benchmark: 1347.993, usercpu_time_millis: 820, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 680,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8432, f_measure: 0.5909, kappa: 0.4785, kb_relative_information_score: 233.3246, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5885, predictive_accuracy: 0.5992, prior_entropy: 2.5035, recall: 0.5992, relative_absolute_error: 0.6623, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2312, root_relative_squared_error: 0.8304, scimark_benchmark: 1319.9043, usercpu_time_millis: 1150, usercpu_time_millis_testing: 370, usercpu_time_millis_training: 780,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, f_measure: 0.2147, kappa: 0.1485, kb_relative_information_score: 86.9073, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.1504, predictive_accuracy: 0.3763, prior_entropy: 2.5035, recall: 0.3763, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.9687, scimark_benchmark: 930.5999, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7329, f_measure: 0.5272, kappa: 0.3897, kb_relative_information_score: 211.7787, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5332, predictive_accuracy: 0.5317, prior_entropy: 2.5035, recall: 0.5317, relative_absolute_error: 0.6728, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.9721, scimark_benchmark: 869.6028, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7107, f_measure: 0.5552, kappa: 0.4243, kb_relative_information_score: 221.5576, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5695, predictive_accuracy: 0.5542, prior_entropy: 2.5035, recall: 0.5542, relative_absolute_error: 0.574, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2986, root_relative_squared_error: 1.0726, scimark_benchmark: 1466.6185, usercpu_time_millis: 1870, usercpu_time_millis_training: 1870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7275, f_measure: 0.5402, kappa: 0.4101, kb_relative_information_score: 209.7868, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5454, predictive_accuracy: 0.546, prior_entropy: 2.5035, recall: 0.546, relative_absolute_error: 0.6641, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.9837, scimark_benchmark: 1384.4418, usercpu_time_millis: 280, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 270,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, f_measure: 0.2147, kappa: 0.1485, kb_relative_information_score: 86.9073, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.1504, predictive_accuracy: 0.3763, prior_entropy: 2.5035, recall: 0.3763, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.9687, scimark_benchmark: 942.6843, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6277, f_measure: 0.2147, kappa: 0.1485, kb_relative_information_score: 86.9073, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.1504, predictive_accuracy: 0.3763, prior_entropy: 2.5035, recall: 0.3763, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2697, root_relative_squared_error: 0.9687, scimark_benchmark: 935.5075, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5347, f_measure: 0.2667, kappa: 0.0763, kb_relative_information_score: 87.757, mean_absolute_error: 0.1305, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.3971, predictive_accuracy: 0.3476, prior_entropy: 2.5035, recall: 0.3476, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3612, root_relative_squared_error: 1.2975, scimark_benchmark: 1384.4418, usercpu_time_millis: 90, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.5423, kappa: 0.4133, kb_relative_information_score: 227.4321, mean_absolute_error: 0.0908, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5444, predictive_accuracy: 0.546, prior_entropy: 2.5035, recall: 0.546, relative_absolute_error: 0.5845, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.3013, root_relative_squared_error: 1.0824, scimark_benchmark: 1327.8711, usercpu_time_millis: 500, usercpu_time_millis_testing: 250, usercpu_time_millis_training: 250,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7872, f_measure: 0.5661, kappa: 0.4441, kb_relative_information_score: 211.4395, mean_absolute_error: 0.1073, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5757, predictive_accuracy: 0.5726, prior_entropy: 2.5035, recall: 0.5726, relative_absolute_error: 0.6906, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.8797, scimark_benchmark: 1318.5526, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8352, build_cpu_time: 391.832, build_memory: 1692012536, f_measure: 0.5825, kappa: 0.466, kb_relative_information_score: 237.0927, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5804, predictive_accuracy: 0.589, prior_entropy: 2.5035, recall: 0.589, relative_absolute_error: 0.6568, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2348, root_relative_squared_error: 0.8435, scimark_benchmark: 940.9202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8132, f_measure: 0.5499, kappa: 0.4121, kb_relative_information_score: 131.1639, mean_absolute_error: 0.1368, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5777, predictive_accuracy: 0.5603, prior_entropy: 2.5035, recall: 0.5603, relative_absolute_error: 0.8806, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2521, root_relative_squared_error: 0.9054, scimark_benchmark: 1353.1316, usercpu_time_millis: 130, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.5693, kappa: 0.4493, kb_relative_information_score: 225.5372, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5656, predictive_accuracy: 0.5767, prior_entropy: 2.5035, recall: 0.5767, relative_absolute_error: 0.6416, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.8673, scimark_benchmark: 1324.8395, usercpu_time_millis: 1470, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 1460,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8121, f_measure: 0.5447, kappa: 0.4144, kb_relative_information_score: 217.4716, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5426, predictive_accuracy: 0.5501, prior_entropy: 2.5035, recall: 0.5501, relative_absolute_error: 0.6461, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.8975, scimark_benchmark: 1263.2205, usercpu_time_millis: 2490, usercpu_time_millis_training: 2490,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.5754, kappa: 0.4563, kb_relative_information_score: 144.0314, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5953, predictive_accuracy: 0.5869, prior_entropy: 2.5035, recall: 0.5869, relative_absolute_error: 0.8606, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.8902, scimark_benchmark: 942.6843, usercpu_time_millis: 350, usercpu_time_millis_testing: 50, usercpu_time_millis_training: 300,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.804, f_measure: 0.5515, kappa: 0.4263, kb_relative_information_score: 208.4185, mean_absolute_error: 0.1093, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5688, predictive_accuracy: 0.5603, prior_entropy: 2.5035, recall: 0.5603, relative_absolute_error: 0.7035, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.8751, scimark_benchmark: 1307.8775, usercpu_time_millis: 320, usercpu_time_millis_training: 320,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.5906, kappa: 0.4825, kb_relative_information_score: 219.4037, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.5975, predictive_accuracy: 0.6012, prior_entropy: 2.5035, recall: 0.6012, relative_absolute_error: 0.6901, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2365, root_relative_squared_error: 0.8496, scimark_benchmark: 1312.0581, usercpu_time_millis: 120, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7987, f_measure: 0.5517, kappa: 0.4338, kb_relative_information_score: 206.2338, mean_absolute_error: 0.1126, mean_prior_absolute_error: 0.1553, number_of_instances: 489, precision: 0.562, predictive_accuracy: 0.5624, prior_entropy: 2.5035, recall: 0.5624, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.2784, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.8741, scimark_benchmark: 1354.7191, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

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