Table 3.

Confusion matrix for classifiers on 4 cognitive states using 10, 14, and 35-dimensional input feature vectors.

Dimensions	10-dimensional input	14-dimensional input	35-dimensional input
Confusion matrix	$\left[\begin{array}{cccc}0.38& 0.33& 0.25& 0.04\\ 0.03& 0.82& 0.15& 0\\ 0& 0& 1& 0\\ 0& 0.01& 0.24& 0.75\end{array}\right]$	$\left[\begin{array}{cccc}0.6& 0.22& 0.17& 0.01\\ 0.01& 0.91& 0.08& 0\\ 0& 0& 1& 0\\ 0& 0.01& 0.18& 0.82\end{array}\right]$	$\left[\begin{array}{cccc}0.6& 0.29& 0.1& 0.01\\ 0.02& 0.83& 0.15& 0\\ 0& 0& 1& 0\\ 0& 0& 0.02& 0.98\end{array}\right]$