How can I measure the accuracy of my data?

How can I measure the accuracy of my data?

You can measure data accuracy by comparing it against a known standard or benchmark.

What methods can I use to compare my data?

Common methods include cross-validation, confusion matrix, and calculating precision and recall.

Can you explain what a confusion matrix is?

A confusion matrix is a table used to evaluate the performance of a classification model by comparing predicted and actual values.

How do I calculate precision and recall?

Precision is the ratio of true positives to the sum of true and false positives, while recall is the ratio of true positives to the sum of true positives and false negatives.