{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# Explainable AI Methods Application\n\n## EDA\n\n* EDA: Exploratory Analysis of Flowers Dataset: https://www.kaggle.com/code/christianhritter/flowerclass-eda1\n\n## Modeling\n\n* Modeling: EfficientNetV2 application. Saving model for later XAI analysis: \nhttps://www.kaggle.com/code/christianhritter/flowerclass-efficientnetv2-2\n* Model Error Analysis Part 1: https://www.kaggle.com/code/christianhritter/flowerclass-efficientnetv2-2-analysis\n* Model Error Analysis Part 2: https://www.kaggle.com/code/christianhritter/flowerclass-efficientnetv2-2-analysis2-imgvis\n\n## XAI Methods Analysis:\n\n* XAI LIME method applied to Model: https://www.kaggle.com/code/christianhritter/flowerclass-efficientnetv2-2-analysis3-lime\n* XAI Anchor method applied to Model: https://www.kaggle.com/code/christianhritter/flowerclass-efficientnetv2-2-analysis3-anchors\n* XAI Kernel SHAP method applied to model: https://www.kaggle.com/code/christianhritter/flowerclass-efficientnetv2-2-analysis3-kernelshap","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19"}}]}