Table 2.

Evaluation results for different classification tasks on validation and independent sets.

CT	Eval. metric	Validation	Independent
${\text{CT}}_{I-II}$	F1	0.99 (± 0.01)	0.97 (± 0.003)
	BA	0.94 (± 0.01)	0.85 (± 0.01)
	MCC	0.92 (± 0.02)	0.74 (± 0.02)
	Confusion matrix (%)	$\left[\begin{array}{cc}10.5& 1.3\\ 0.4& 87.8\\ \end{array}\right]$	$\left[\begin{array}{cc}8.6& 3.2\\ 2.1& 86.1\\ \end{array}\right]$
${\text{CT}}_{I-I\frac{1}{2}}$	F1	0.99 (± 0.00)	0.98 (± 0.00)
	BA	0.96 (± 0.01)	0.93 (± 0.01)
	MCC	0.94 (± 0.01)	0.88 (± 0.01)
	Confusion matrix (%)	$\left[\begin{array}{cc}19.9& 1.8\\ 0.4& 77.9\\ \end{array}\right]$	$\left[\begin{array}{cc}18.9& 2.9\\ 0.9& 77.3\\ \end{array}\right]$
${\text{CT}}_{II-I\frac{1}{2}}$	F1	0.98 (± 0.01)	0.94 (± 0.01)
	BA	0.99 (± 0.01)	0.97 (± 0.01)
	MCC	0.98 (± 0.01)	0.92 (± 0.02)
	Confusion matrix (%)	$\left[\begin{array}{cc}66.9& 0.6\\ 0.4& 32.1\\ \end{array}\right]$	$\left[\begin{array}{cc}64.4& 3.1\\ 0.8& 31.7\\ \end{array}\right]$
${\text{CT}}_{A-(I+II+I\frac{1}{2})}$	F1	0.77 (± 0.07)	0.65 (± 0.12)
	BA	0.82 (± 0.05)	0.78 (± 0.08)
	MCC	0.78 (± 0.07)	0.67 (± 0.11)
	Confusion matrix (%)	$\left[\begin{array}{cc}97.6& 0.1\\ 0.8& 1.5\\ \end{array}\right]$	$\left[\begin{array}{cc}97.5& 0.3\\ 1.0& 1.2\\ \end{array}\right]$