Run 8546

Task 733 (Supervised Regression) quake Uploaded 25-11-2022 by Continuous Integration
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TEST086cc5b67fsklearn.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.
TEST086cc5b67fsklearn.linear_model._base.LinearRegression(1)_copy_X	true
TEST086cc5b67fsklearn.linear_model._base.LinearRegression(1)_fit_intercept	true
TEST086cc5b67fsklearn.linear_model._base.LinearRegression(1)_n_jobs	null
TEST086cc5b67fsklearn.linear_model._base.LinearRegression(1)_normalize	false
TEST086cc5b67fsklearn.linear_model._base.LinearRegression(1)_positive	false

xml

Description

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

arff

Predictions

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

0.1491 ± 0.0067

2178

0.1894 ± 0.0107

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