Run
10559846

Run 10559846

Task 2289 (Supervised Regression) delta_elevators Uploaded 26-03-2021 by Tan Zheng
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Flow

sklearn.linear_model._base.LinearRegression(2)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(2)_copy_Xtrue
sklearn.linear_model._base.LinearRegression(2)_fit_intercepttrue
sklearn.linear_model._base.LinearRegression(2)_n_jobsnull
sklearn.linear_model._base.LinearRegression(2)_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

0.002 ± 0
Cross-validation details (10-fold Crossvalidation)
9517
Cross-validation details (10-fold Crossvalidation)
0.0024 ± 0.0001
Cross-validation details (10-fold Crossvalidation)