Run
10437892

Run 10437892

Task 5514 (Supervised Regression) bodyfat Uploaded 28-03-2020 by George Volkov
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Flow

sklearn.linear_model._base.LinearRegression(1)Ordinary least squares Linear Regression. LinearRegression fits a linear model with coefficients w = (w1, ..., wp) to minimize the residual sum of squares between the observed targets in the dataset, and the targets predicted by the linear approximation.
sklearn.linear_model._base.LinearRegression(1)_copy_Xtrue
sklearn.linear_model._base.LinearRegression(1)_fit_intercepttrue
sklearn.linear_model._base.LinearRegression(1)_n_jobsnull
sklearn.linear_model._base.LinearRegression(1)_normalizefalse

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

7 Evaluation measures

Mean absolute error
0.5368 ± 0.1849
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
6.8603 ± 0.7267
Cross-validation details (10-fold Crossvalidation)
Number of instances
252
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0783 ± 0.0322
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
8.3521 ± 0.9478
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
1.3894 ± 0.9665
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.1664 ± 0.1329
Cross-validation details (10-fold Crossvalidation)