All Projects Related to Predictive Modeling will be showcased here --- This project uses multi-class classification models to predict the best crop, and identify the best feature in predictive performance Business Objective: Predict which crop will obtain the highest yield, given the best soil metric
Due to constraints, the goal is to identify the most important metric among the current soil metrics being tracked. The most important soil metric will have the best performance in predicting crop yields for the crops field contained in the dataset. Findings:
- Potassium produces the best score on feature performance (F1-Score)
- Logistic Regression based on Potassium shows grapes have the best crop yield
