Run
2377

Run 2377

Task 733 (Supervised Regression) quake Uploaded 17-10-2024 by Continuous Integration
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Flow

TESTdcbd15b15csklearn.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.
TESTdcbd15b15csklearn.linear_model._base.LinearRegression(1)_copy_Xtrue
TESTdcbd15b15csklearn.linear_model._base.LinearRegression(1)_fit_intercepttrue
TESTdcbd15b15csklearn.linear_model._base.LinearRegression(1)_n_jobsnull
TESTdcbd15b15csklearn.linear_model._base.LinearRegression(1)_normalizefalse
TESTdcbd15b15csklearn.linear_model._base.LinearRegression(1)_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 absolute error
0.1486 ± 0.0063
Mean prior absolute error
0.1491 ± 0.0067
Number of instances
2178
Relative absolute error
0.9962 ± 0.0102
Root mean prior squared error
0.1894 ± 0.0107
Root mean squared error
0.189 ± 0.0103
Root relative squared error
0.9981 ± 0.0047