This activity was submission to Information Retrieval Laboratory course.
{Dataset is given}
- Download the dataset containing actual and predicted scores for Logistic regression and random forest.
- Calculate the TP, TN, FP, FN.
- Compute Precision and recall for both the algorithms.
- Create a function to compute the F score for different values of beta.
- Compare the F score at beta 0.5, 1, and 2.
- Conclude your results by estimating the best model.