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. 2022 Jun 19;22(12):4627. doi: 10.3390/s22124627

Table 5.

Linear Regression Characterization.

Parameter Value
Correlation coefficient 0.9658
Mean absolute error 13.253
Root mean squared error 3.2931
Relative absolute error 29.067%
Root relative squared error 25.9384%
Total Number of Instances 852(60%)
Accuracy 71.4%
Prediction Speed ~881 obs/s
Training Time 0.5868 s
Model Type M5 Method
Function Linear Regression