Task
Supervised Regression on cholesterol

Supervised Regression on cholesterol

Task 2295 Supervised Regression cholesterol 160 runs submitted
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0 likes - 0 downloads - 0 reach - mean_absolute_error: 39.4888, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 1.0045, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 51.7123, root_relative_squared_error: 1.0004,
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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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 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: 4523503029755.1, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 115061284906.76, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 4985277069301.7, root_relative_squared_error: 96443053294.352,
0 likes - 0 downloads - 0 reach - mean_absolute_error: 4490882430431, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 114231536800.49, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 4625326253389, root_relative_squared_error: 89479597654.91,
0 likes - 0 downloads - 0 reach - mean_absolute_error: 4722264798823.5, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 120117053497.81, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 5195293097830.7, root_relative_squared_error: 100505934203.58,
0 likes - 0 downloads - 0 reach - mean_absolute_error: 4788017332756, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 121789556199.9, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 5038126514821.1, root_relative_squared_error: 97465456226.014,
0 likes - 0 downloads - 0 reach - mean_absolute_error: 4010696703780.8, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 102017377477.76, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 4805241907505.4, root_relative_squared_error: 92960169502.217,
0 likes - 0 downloads - 0 reach - mean_absolute_error: 1660151627678.3, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 42228153306.015, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 2106278851502.2, root_relative_squared_error: 40747176276.132,
0 likes - 0 downloads - 0 reach - mean_absolute_error: 31660484190182, mean_prior_absolute_error: 39.3139, number_of_instances: 303, relative_absolute_error: 805326307450.24, root_mean_prior_squared_error: 51.6914, root_mean_squared_error: 34289531543528, root_relative_squared_error: 663350716945.02,

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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