Table 3.

Table 3 Tobit Model Results for the Three Canadian Regional Models Using Entropy and Validation Accuracy Expressed in Terms of the Prediction Error and Relative Prediction Error

Entropy Prediction Model (Western)
Pseudo-R2		0.89
Intercept		6.3; p < 0.0001
Log (entropy) parameter est.		2.8; p < 0.0001
Prediction error (10-fold)		Relative prediction error (10-fold)
Trimmed mean	−4,433	Trimmed mean	0.012
Median	−1,500	Median	−0.02
Entropy Prediction Model (Central)
Pseudo-R2		0.8
Intercept		6.5; p < 0.0001
Log (entropy) parameter est.		2.6; p < 0.0001
Prediction error (10-fold)		Relative prediction error (10-fold)
Trimmed mean	−1,218	Trimmed mean	−0.015
Median	−7,405	Median	0.019
Entropy Prediction Model (Eastern)
Pseudo-R2		0.9
Intercept		7.0; p < 0.0001
Log (entropy) parameter est.		1.8; p < 0.0001
Prediction error (10-fold)		Relative prediction error (10-fold)
Trimmed mean	−1,284	Trimmed mean	0.0024
Median	−524	Median	−0.019