Answer Posted / Rohit Martolia

The confusion matrix is a table used to describe the performance of a classification model. It compares the actual class labels with the predicted class labels and provides information about false positives, false negatives, true positives, and true negatives.

Tell me what are the last machine learning papers you've read?

291

Tell us do you have research experience in machine learning?

224

Do you have research experience in machine learning?

153

What are standardization and normalisation? Give one advantage of each over the other?

148