Task
Supervised Regression on cholesterol

Supervised Regression on cholesterol

Task 2295 Supervised Regression cholesterol 175 runs submitted
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0 likes - 0 downloads - 0 reach - mean_absolute_error: 4607969556241.6, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 117209802771.17, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 4844891791315.5, root_relative_squared_error: 93727219317.955,
0 likes - 0 downloads - 0 reach - mean_absolute_error: 4434180229.3858, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 112789241.2905, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 5676874781.9453, root_relative_squared_error: 109822408.9714,
0 likes - 0 downloads - 0 reach - mean_absolute_error: 2027452237535.3, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 51570930317.367, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 2108595323916.7, root_relative_squared_error: 40791989767.823,
0 likes - 0 downloads - 0 reach - mean_absolute_error: 83231550967529, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 2117104628008.9, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 88101157320498, root_relative_squared_error: 1704367579301.9,
0 likes - 0 downloads - 0 reach - mean_absolute_error: 5434541862820.2, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 138234763081.29, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 6044703958102.1, root_relative_squared_error: 116938276022.74,
0 likes - 0 downloads - 0 reach - mean_absolute_error: 3375317569372, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 85855668482.075, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 4089148260777.3, root_relative_squared_error: 79106925886.045,
0 likes - 0 downloads - 0 reach - mean_absolute_error: 3732888385404.3, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 94950955313.366, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 4392893850288.7, root_relative_squared_error: 84983059081.844,
0 likes - 0 downloads - 0 reach - mean_absolute_error: 4543913838982.4, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 115580460846.35, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 5236553694777.8, root_relative_squared_error: 101304144191.72,
0 likes - 0 downloads - 0 reach - mean_absolute_error: 4806083971294.2, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 122249105056.27, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 5216707624042.6, root_relative_squared_error: 100920210534.47,
0 likes - 0 downloads - 0 reach - mean_absolute_error: 3761165414333.3, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 95670218959.377, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 3925183694757.4, root_relative_squared_error: 75934937015.775,
0 likes - 0 downloads - 0 reach - mean_absolute_error: 6385485296.7007, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 162423267.578, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 10238332804.053, root_relative_squared_error: 198066438.9442,
0 likes - 0 downloads - 0 reach - mean_absolute_error: 4899437242.306, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 124623669.0263, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 7312081378.383, root_relative_squared_error: 141456421.4315,
0 likes - 0 downloads - 0 reach - mean_absolute_error: 6644271535.6064, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 169005837.9817, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 8954621763.5024, root_relative_squared_error: 173232310.2534,
0 likes - 0 downloads - 0 reach - mean_absolute_error: 220643841694.49, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 5612368061.9061, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 541681272663.96, root_relative_squared_error: 10479135887.908,
0 likes - 0 downloads - 0 reach - mean_absolute_error: 658774854276.46, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 16756810086.943, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 994723117617.55, root_relative_squared_error: 19243491046.116,
0 likes - 0 downloads - 0 reach - mean_absolute_error: 59894907126.375, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 1523506213.6578, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 82787447476, root_relative_squared_error: 1601570805.0003,
0 likes - 0 downloads - 0 reach - mean_absolute_error: 7232336087.7918, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 183964037.9734, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 11524465812.691, root_relative_squared_error: 222947422.0012,
0 likes - 0 downloads - 0 reach - mean_absolute_error: 9973940566.5323, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 253700375.4878, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 14076849756.132, root_relative_squared_error: 272324757.9572,

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

Given a dataset with a numeric target and a set of train/test splits, e.g. generated by a cross-validation procedure, train a model and return the predictions of that model.

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)

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