Towards a Framework for Acquisition and Analysis of Speeches to Identify Suspicious Contents through Machine Learning

Table 3

Confusion matrix.

Confusion matrix	Predicted nonsuspicious	Predicted suspicious
Actual nonsuspicious	True positive TP = 675	False negative FN = 31
Actual suspicious	False positive FP = 19	True negative TN = 275