The objective of this prediction task is to determine whether a person is introverted or extroverted based on their daily behaviors (time alone, attendance at events, online activity, etc.). It's a binary classification problem where the target indicates one of two personality types.

The metric used here is the roc_auc_score (area under the ROC curve) as the main metric for assessing prediction quality. This measures the model's ability to distinguish between introverts and extroverts in a robust, threshold-independent way.

Results :

• Final Rank : 684/4331
• Accuracy Score : 0.975708
• Best Accuracy Score : 0.978137