About this document

Model Performance Report by gokul nag is a document available to read on EtoBox.

The report evaluates the performance of two models: a classification model for crop recommendations and a regression model for predicting crop yield. The classification model shows high accuracy with a strong diagonal in the confusion matrix, while the regression model closely tracks actual yields with a low MAPE of 11.19%. Random Forest outperforms other algorithms like SVM and linear models in both classification and regression tasks due to its ability to manage complex relationships and high dimensionali

Author

gokul nag

Language

EN