work needs to be done with python notebook (Jupyter).Work should accompany notebook running code and their explanation/ interpretation of the results in a separate word file.

Refer to the dataset SCRM_data.csv . The variable SCMstability_category represents how stable is the supply chain in terms of the risk. A higher number implies more stable and a lower number implies less stable. Different features include total cost, and Risk Index of supplier, distributor, manufacturer, and
retailer. Use different classification algorithms to predict supply chain stability. Analyze confusion matrix, precision, recall, and f1-score. The source file is more than 35 MB so cannot attach in here ( will send via email once it is confirmed)