Run
10559832

Run 10559832

Task 360883 (Supervised Regression) NASA_PHM2008 Uploaded 24-03-2021 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

57.2447 ± 0.1669
Cross-validation details (5 times 2-fold Crossvalidation)
229590
Cross-validation details (5 times 2-fold Crossvalidation)
68.4198 ± 0.1784
Cross-validation details (5 times 2-fold Crossvalidation)