ML--Crop-Recommendation

A machine learning model to determine the best crop based on soil elements, temperature, humidity, and rainfall.

Data

Link to data

Atrributes

Input

• N - ratio of Nitrogen (NH4+) content in soil
• P - ratio of Phosphorous (P) content in soil
• K - ratio of Potassium (K) content in soil
• temperature
• humidity
• ph
• rainfall

Target

• Recommended crop

Limitations

Requirments

Requirments

Code

1. Data Loading and Discovery
2. Choose a Model:
   • Random Forest Classifier
   • GaussianNB
   • SVC
   • Logistic Regression
   • DecisionTreeClassifier
3. Testing

Results

• Train Accuracy = 100%
• Test Accuracy = 99.3%