i) Comparing features' contribution across various dataset to detect variation among them.
ii) Impact of feature value in model's prediction throughout the different datasets.
iii) Cross check accuracy with training model on a dataset and testing on different dataset.
iv) Generate outcomes and suggestion on making future dataset agnostic model and monolithic feature list in terms on model impqacting.
Dataset 1 : https://data.mendeley.com/datasets/72ptz43s9v/1
Dataset2 : https://www.kaggle.com/datasets/winson13/dataset-for-link-phishing-detection
Dataset specific feature analysis with SHAP code : /Code/XAI_Phishing.ipynb
Merged dataset feature analysis with SHAP code : /Code/common_features_model.ipynb