Update README.md

README.md

@@ -9,7 +9,9 @@ This model is made for educational purposes and is not ready to be used in produ
 
 ## Training Procedure
 
-[More Information Needed]
+With this dataset, I will be using a decision tree to predict whether certain websites are legitimate or an act of phishing. This is because Naive Bayes assumes feature independence, which is not true for this case. Decision trees split data based on actual patterns, which is useful for phishing detection.
+Overall, the data does not meet the criteria for Naive Bayes because the features are not independent.
+Using decision trees for this case is crucial because it offers clear interpretability of the classification logic. It will be able to differentiate legitimate vs illegitimate websites and also give an answer to why.
 
 ### Hyperparameters
 
@@ -117,11 +119,14 @@ div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,
 
 ## Evaluation Results
 
-[More Information Needed]
+              precision    recall  f1-score   support
 
-# How to Get Started with the Model
+           0       1.00      0.74      0.85     20189
+           1       0.84      1.00      0.91     26970
 
-[More Information Needed]
+    accuracy                           0.89     47159
+   macro avg       0.92      0.87      0.88     47159
+weighted avg       0.91      0.89      0.88     47159
 
 # Model Card Authors