Table 2.

Mean and standard deviation of the mean squared error (MSE) using the different techniques, for N2A cells.

Regression Model	MSE and Standard Deviation
	Bidimensional	Amplitude	Frequency
Linear Regression	1.41 × 10−3 (1 × 10−3)	6.55 × 10−3 (3.45 × 10−3)	1.76 × 10−3 (1.1 × 10−3)
Polynomial Regression (d = 2)	3.3 × 10−4 (3.4 × 10−4)	1.2 × 10−3 (1 × 10−3)	1 × 10−3 (7.9 × 10−4)
Polynomial Regression (d = 3)	1.6 × 10−4 (1.6 × 10−4)	7.9 × 10−4 (6 × 10−4)	1.1 × 10−3 (7.4 × 10−4)
Polynomial Regression (d = 4)	8.44 × 10−5 (1.1 × 10−4)	5.7 × 10−4 (3.3 × 10−4)	9.45 × 10−4 (6.9 × 10−4)
Regression Trees	9.78 × 10−4 (6.9 × 10−4)	1 × 10−3 (5.7 × 10−4)	2.2 × 10−3 (1.39 × 10−3)
Gaussian Processes	1.6 × 10−4 (3.4 × 10−4)	4.34 × 10−4 (3.4 × 10−4)	1 × 10−3 (7.2 × 10−4)