Run
10591647

Run 10591647

Task 361140 (Supervised Regression) Reading_Hydro_downstream Uploaded 20-10-2022 by Laurens Krudde
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Flow

sklearn.linear_model._base.LinearRegression(3)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(3)_copy_Xtrue
sklearn.linear_model._base.LinearRegression(3)_fit_intercepttrue
sklearn.linear_model._base.LinearRegression(3)_n_jobsnull
sklearn.linear_model._base.LinearRegression(3)_normalize"deprecated"
sklearn.linear_model._base.LinearRegression(3)_positivefalse

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 prior absolute error
0.0087
Cross-validation details (10% Holdout set)
Number of instances
330
Cross-validation details (10% Holdout set)
Root mean prior squared error
0.0121
Cross-validation details (10% Holdout set)