what does the values in classification_report mean

Question

I have a problem of classification! I build 2 models, one with logistic Regression and one with random forest . I tried to print the "classification_report" and i got the two pictures below? Which does well in classification ? please ? The loss function of the model of Random forest is 0.17 The loss function of the model of logistic reg is 0.16

Answer 1

Precision, Recall and F1 Scores are class specific. Since you have a binary classifier, imagine a confusion matrix as follows

Then your precision is True Positive / True Positive + False Positive and your Recall is True Positive / True Positive + False Negative. You can read more about it at Wikipedia

Based on your values, For model 1 is doing better than model 2 except that model 2 corrected some False Negatives at the expense of True Positive.