[R] Logistic regression model + precision/recall

From: nitin jindal <nitin.jindal_at_gmail.com>
Date: Wed 24 Jan 2007 - 13:36:04 GMT


I am using logistic regression model named lrm(Design)

Rite now I was using Area Under Curve (AUC) for testing my model. But, now I have to calculate precision/recall of the model on test cases. For lrm, precision and recal would be simply defined with the help of 2 terms below:
True Positive (TP) - Number of test cases where class 1 is given probability
>= 0.5.

False Negative (FP) - Number of test cases where class 0 is given probability >= 0.5.

Precision = TP / (TP + FP)
Recall = TP / ( Number of Positive Samples in test data)

Any help is appreciated.

I an write a long code with for loops and all, but is there any inbuild function or just few commands that would do the task.


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