The Rand score shows how similar a cluster is to the benchmark classification and computes the percentage of correctly made decisions. A lower value is preferable because this represents distinct clusters. This can be calculated as follows:
Here, the following applies:
- TP: Total number of true positives
- TN: Total number of true negatives
- FP: Total number of false positives
- FN: Total number of false negatives