GitHub - Darpan-Chachpara/Crop-Yield-Prediction: Devising solutions to cultivate more productions in Agricultural areas as it’s Backbone of our country. Random Forest algorithm is implemented with several parameters(climate,atmosphere,soil) to gain maximum proficiency with accuracy of 93% . Have also implemented Naïve Bayes and Decision Tree to compare the accuracy of three algorithms.

Darpan-Chachpara / Crop-Yield-Prediction Public

Notifications You must be signed in to change notification settings
Fork 0
Star 0

Devising solutions to cultivate more productions in Agricultural areas as it’s Backbone of our country. Random Forest algorithm is implemented with several parameters(climate,atmosphere,soil) to gain maximum proficiency with accuracy of 93% . Have also implemented Naïve Bayes and Decision Tree to compare the accuracy of three algorithms.

0 stars 0 forks Branches Tags Activity

Star

Notifications

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
static		static
templates		templates
Final_dataset_backup.xlsx		Final_dataset_backup.xlsx
app.py		app.py
model.sav		model.sav
prog.py		prog.py