Task
Supervised Classification on colic

Supervised Classification on colic

Task 1791 Supervised Classification colic 331 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, build_cpu_time: 0.021, build_memory: 222634753.6, f_measure: 0.794, kappa: 0.5589, kb_relative_information_score: 956.1085, mean_absolute_error: 0.2212, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7946, predictive_accuracy: 0.7935, prior_entropy: 0.9509, recall: 0.7935, relative_absolute_error: 0.4746, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4032, root_relative_squared_error: 0.8353, scimark_benchmark: 939.1359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, build_cpu_time: 0.0373, build_memory: 341582372.8, f_measure: 0.7975, kappa: 0.5672, kb_relative_information_score: 978.4701, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7986, predictive_accuracy: 0.7967, prior_entropy: 0.9509, recall: 0.7967, relative_absolute_error: 0.4599, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.85, scimark_benchmark: 943.1873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, build_cpu_time: 0.0782, build_memory: 111944044, f_measure: 0.7953, kappa: 0.5623, kb_relative_information_score: 980.7217, mean_absolute_error: 0.2134, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7963, predictive_accuracy: 0.7946, prior_entropy: 0.9509, recall: 0.7946, relative_absolute_error: 0.4578, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4147, root_relative_squared_error: 0.8591, scimark_benchmark: 919.6575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, build_cpu_time: 0.065, build_memory: 958996451.2, f_measure: 0.7953, kappa: 0.5626, kb_relative_information_score: 984.4147, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7964, predictive_accuracy: 0.7946, prior_entropy: 0.9509, recall: 0.7946, relative_absolute_error: 0.4557, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8586, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8462, build_cpu_time: 0.0596, build_memory: 211321258.4, f_measure: 0.7953, kappa: 0.5626, kb_relative_information_score: 984.4147, mean_absolute_error: 0.2124, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7964, predictive_accuracy: 0.7946, prior_entropy: 0.9509, recall: 0.7946, relative_absolute_error: 0.4557, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4144, root_relative_squared_error: 0.8586, scimark_benchmark: 895.3841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8157, build_cpu_time: 0.1891, build_memory: 97885659.2, f_measure: 0.803, kappa: 0.5765, kb_relative_information_score: 1025.8106, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8027, predictive_accuracy: 0.8033, prior_entropy: 0.9509, recall: 0.8033, relative_absolute_error: 0.4306, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.9044, scimark_benchmark: 907.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, build_cpu_time: 0.1548, build_memory: 2189804001.6, f_measure: 0.8032, kappa: 0.5765, kb_relative_information_score: 1032.2922, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8028, predictive_accuracy: 0.8038, prior_entropy: 0.9509, recall: 0.8038, relative_absolute_error: 0.4268, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.434, root_relative_squared_error: 0.8991, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8227, build_cpu_time: 0.0647, build_memory: 2888184020, f_measure: 0.7947, kappa: 0.5585, kb_relative_information_score: 1000.8191, mean_absolute_error: 0.2064, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7944, predictive_accuracy: 0.7951, prior_entropy: 0.9509, recall: 0.7951, relative_absolute_error: 0.4428, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.439, root_relative_squared_error: 0.9096, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, build_cpu_time: 0.0549, build_memory: 1142496885.6, f_measure: 0.7883, kappa: 0.5451, kb_relative_information_score: 978.8561, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.788, predictive_accuracy: 0.7886, prior_entropy: 0.9509, recall: 0.7886, relative_absolute_error: 0.4544, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.443, root_relative_squared_error: 0.9177, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, build_cpu_time: 0.0319, build_memory: 929565316.8, f_measure: 0.7824, kappa: 0.5316, kb_relative_information_score: 959.4089, mean_absolute_error: 0.2166, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7819, predictive_accuracy: 0.7832, prior_entropy: 0.9509, recall: 0.7832, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.9128, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, build_cpu_time: 0.7094, build_memory: 999266758.4, f_measure: 0.8335, kappa: 0.6397, kb_relative_information_score: 999.8448, mean_absolute_error: 0.2177, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8338, predictive_accuracy: 0.8353, prior_entropy: 0.9509, recall: 0.8353, relative_absolute_error: 0.467, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7863, scimark_benchmark: 939.9709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8229, build_cpu_time: 1.3663, build_memory: 2180972222.4, f_measure: 0.8129, kappa: 0.598, kb_relative_information_score: 906.7727, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8127, predictive_accuracy: 0.813, prior_entropy: 0.9509, recall: 0.813, relative_absolute_error: 0.5136, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8413, scimark_benchmark: 924.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, build_cpu_time: 1.6641, build_memory: 2452340908.8, f_measure: 0.7991, kappa: 0.5692, kb_relative_information_score: 868.2362, mean_absolute_error: 0.2486, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7993, predictive_accuracy: 0.7989, prior_entropy: 0.9509, recall: 0.7989, relative_absolute_error: 0.5334, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4255, root_relative_squared_error: 0.8815, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, build_cpu_time: 3.3955, build_memory: 516428416, f_measure: 0.7976, kappa: 0.5661, kb_relative_information_score: 857.8481, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7979, predictive_accuracy: 0.7973, prior_entropy: 0.9509, recall: 0.7973, relative_absolute_error: 0.5395, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.43, root_relative_squared_error: 0.8908, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, build_cpu_time: 5.0271, build_memory: 2446699311.2, f_measure: 0.7934, kappa: 0.5579, kb_relative_information_score: 842.3457, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7941, predictive_accuracy: 0.7929, prior_entropy: 0.9509, recall: 0.7929, relative_absolute_error: 0.5474, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.9021, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, build_cpu_time: 0.1112, build_memory: 190775356, f_measure: 0.7624, kappa: 0.4913, kb_relative_information_score: 866.5239, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.763, predictive_accuracy: 0.762, prior_entropy: 0.9509, recall: 0.762, relative_absolute_error: 0.5139, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9591, scimark_benchmark: 927.3354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, build_cpu_time: 0.0439, build_memory: 306465379.2, f_measure: 0.7678, kappa: 0.5026, kb_relative_information_score: 881.3846, mean_absolute_error: 0.2367, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7683, predictive_accuracy: 0.7674, prior_entropy: 0.9509, recall: 0.7674, relative_absolute_error: 0.5077, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4462, root_relative_squared_error: 0.9243, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, build_cpu_time: 0.0184, build_memory: 1255200035.2, f_measure: 0.7688, kappa: 0.5036, kb_relative_information_score: 871.0314, mean_absolute_error: 0.241, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7687, predictive_accuracy: 0.769, prior_entropy: 0.9509, recall: 0.769, relative_absolute_error: 0.517, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4354, root_relative_squared_error: 0.9021, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8247, build_cpu_time: 0.0089, build_memory: 1496492133.6, f_measure: 0.7675, kappa: 0.5, kb_relative_information_score: 834.3261, mean_absolute_error: 0.252, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7671, predictive_accuracy: 0.7679, prior_entropy: 0.9509, recall: 0.7679, relative_absolute_error: 0.5405, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.879, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, build_cpu_time: 0.0046, build_memory: 432178648.8, f_measure: 0.7719, kappa: 0.5086, kb_relative_information_score: 804.9385, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7712, predictive_accuracy: 0.7728, prior_entropy: 0.9509, recall: 0.7728, relative_absolute_error: 0.5651, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4101, root_relative_squared_error: 0.8495, scimark_benchmark: 943.5504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, build_cpu_time: 0.0152, build_memory: 721780157.6, f_measure: 0.7626, kappa: 0.4922, kb_relative_information_score: 813.2674, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7635, predictive_accuracy: 0.762, prior_entropy: 0.9509, recall: 0.762, relative_absolute_error: 0.5487, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4328, root_relative_squared_error: 0.8966, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8069, build_cpu_time: 0.0244, build_memory: 358467320, f_measure: 0.7572, kappa: 0.4806, kb_relative_information_score: 807.7066, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7581, predictive_accuracy: 0.7565, prior_entropy: 0.9509, recall: 0.7565, relative_absolute_error: 0.5502, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.9211, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8049, build_cpu_time: 0.0299, build_memory: 1561394558.4, f_measure: 0.7578, kappa: 0.482, kb_relative_information_score: 806.571, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7587, predictive_accuracy: 0.7571, prior_entropy: 0.9509, recall: 0.7571, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.9247, scimark_benchmark: 943.2074,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, build_cpu_time: 1.8954, build_memory: 1011784882.4, f_measure: 0.788, kappa: 0.5449, kb_relative_information_score: 967.2056, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7879, predictive_accuracy: 0.788, prior_entropy: 0.9509, recall: 0.788, relative_absolute_error: 0.463, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8711, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, build_cpu_time: 3.708, build_memory: 24970336.8, f_measure: 0.8097, kappa: 0.5915, kb_relative_information_score: 1054.1453, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8097, predictive_accuracy: 0.8098, prior_entropy: 0.9509, recall: 0.8098, relative_absolute_error: 0.4165, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4169, root_relative_squared_error: 0.8637, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, build_cpu_time: 7.9469, build_memory: 21978624, f_measure: 0.8047, kappa: 0.5816, kb_relative_information_score: 1048.4093, mean_absolute_error: 0.1945, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8051, predictive_accuracy: 0.8043, prior_entropy: 0.9509, recall: 0.8043, relative_absolute_error: 0.4173, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8872, scimark_benchmark: 933.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, build_cpu_time: 14.6778, build_memory: 1315210420, f_measure: 0.8049, kappa: 0.5814, kb_relative_information_score: 1039.7519, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.805, predictive_accuracy: 0.8049, prior_entropy: 0.9509, recall: 0.8049, relative_absolute_error: 0.4225, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.9047, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7909, build_cpu_time: 62.6002, build_memory: 75989575.2, f_measure: 0.7967, kappa: 0.5638, kb_relative_information_score: 1014.5844, mean_absolute_error: 0.2028, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.7967, predictive_accuracy: 0.7967, prior_entropy: 0.9509, recall: 0.7967, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9304, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, build_cpu_time: 33.3586, build_memory: 2045799860.8, f_measure: 0.7932, kappa: 0.5557, kb_relative_information_score: 1002.1109, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.793, predictive_accuracy: 0.7935, prior_entropy: 0.9509, recall: 0.7935, relative_absolute_error: 0.4417, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9331, scimark_benchmark: 930.5854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8151, build_cpu_time: 15.2835, build_memory: 38695121.6, f_measure: 0.8053, kappa: 0.5817, kb_relative_information_score: 1043.7109, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4662, number_of_instances: 1840, precision: 0.8051, predictive_accuracy: 0.8054, prior_entropy: 0.9509, recall: 0.8054, relative_absolute_error: 0.4197, root_mean_prior_squared_error: 0.4827, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.9057, scimark_benchmark: 886.6397,
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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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs