Run
9102

Run 9102

Task 733 (Supervised Regression) quake Uploaded 25-11-2022 by Continuous Integration
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Flow

TESTa4dcc6f2eesklearn.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.
TESTa4dcc6f2eesklearn.linear_model._base.LinearRegression(1)_copy_Xtrue
TESTa4dcc6f2eesklearn.linear_model._base.LinearRegression(1)_fit_intercepttrue
TESTa4dcc6f2eesklearn.linear_model._base.LinearRegression(1)_n_jobsnull
TESTa4dcc6f2eesklearn.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 prior absolute error
0.1491 ± 0.0067
Number of instances
2178
Root mean prior squared error
0.1894 ± 0.0107