Confusion matrix
- generally used for [[supervised learning]]
- unsupervised uses matching matrix
- used bc pure accuracy gives misleading results if dataset is unbalanced
types of values¶
- true positive
- actually true, identified as true
- true negative
- actually false, identified as false
- false positive
- actually false, identified as true
- false negative
- actually true, identified as false