Machine Learning Model Implementation
To build a predictive machine learning model using scikit-learn to classify outcomes from a dataset.
Iris dataset from scikit-learn.
Decision Tree Classifier
- Loaded and explored the dataset
- Split data into training and testing sets
- Trained a Decision Tree model
- Evaluated model performance using accuracy score and classification report
The model achieved high accuracy on the test dataset, demonstrating effective classification performance.
- Python
- scikit-learn
- pandas
