Project 2 | DecodeLabs Industrial Training | Batch 2026 Developer: Mayar Yasser
A machine learning classification model built using the KNN algorithm to classify Iris flowers into 3 species based on their measurements.
- Name: Iris Dataset
- Samples: 150 flowers
- Classes: Setosa, Versicolor, Virginica
- Features: Sepal Length, Sepal Width, Petal Length, Petal Width
- Data Loading & Feature Scaling (StandardScaler)
- Train-Test Split (80% Training / 20% Testing)
- KNN Classification (n_neighbors=5)
- Confusion Matrix & F1 Score
pip install scikit-learn pandas matplotlib seaborn
python classifier.py- Confusion Matrix saved as confusion_matrix.png
- F1 Score: ~97%
- Python
- scikit-learn
- matplotlib
- seaborn
Mayar Yasser | DecodeLabs Batch 2026