🌺 Iris Species Predictor

Sepal Length (cm)

5.8 cm

Sepal Width (cm)

3.0 cm

Petal Length (cm)

4.3 cm

Petal Width (cm)

1.3 cm

Prediction Result

Confidence: 0%

Input: Sepal Length

5.8

Input: Sepal Width

3.0

Input: Petal Length

4.3

Input: Petal Width

1.3

📚 About This Model

This Iris Species Predictor uses a Random Forest Machine Learning model trained on the famous Iris dataset. The model learns to classify iris flowers into three species based on four physical measurements.

🎯 Iris Species:

Setosa - Small flowers with shorter petals (usually 1-2 cm)
Versicolor - Medium flowers with medium petals (usually 3-5 cm)
Virginica - Larger flowers with longer petals (usually 4-7 cm)

⚙️ Model Algorithm:

Algorithm: Random Forest Classifier
Training Dataset: UCI Iris Dataset (150 samples)
Features: Sepal Length, Sepal Width, Petal Length, Petal Width
Accuracy: ~96% on test data

💡 How It Works:

The model analyzes relationships between flower measurements
Uses ensemble learning (multiple decision trees)
Provides confidence scores for each prediction
Great introduction to ML classification problems