# Crop-prediction
Crop prediction app using streamlit
Model Accuracy
KNN Classifier 0.981818181818181
Decision Tree Classifier 0.9872727272727273
Random forest classifier 0.98
RF Accuracy on test set: 0.99"
Support vector Classifier 0.9860642586802699
Logistic regression 97.273 %
Gradient Boosting 0.9945454545454545