title: F1 Score vs ROC AUC
body: <p>I have the below F1 and AUC scores for 2 different cases</p>
  
  <blockquote>
    <p>Model 1: Precision: 85.11 Recall: 99.04 F1: 91.55 AUC: 69.94</p>
    
    <p>Model 2: Precision: 85.1 Recall: 98.73 F1: 91.41 AUC: 71.69</p>
  </blockquote>
  
  <p>The main motive of my problem to predict the positive cases correctly,ie, reduce the False Negative cases (FN). Should I use F1 score and choose Model 1 or use AUC and choose Model 2. Thanks </p>