Develop a Machine Learning Model for classifying iris flowers based on their features using Python & scikit-learn.
- This project is a part of my virtual Internship training at Bharat Intern
It includes three iris species with 50 samples each as well as some properties about each flower. One flower species is linearly separable from the other two, but the other two are not linearly separable from each other.
The columns in this dataset are:
| Column | Description |
|---|---|
| ID | Id of flower |
| SepalLengthcm | Length of the sepal (in cm) |
| SepalWidthcm | Width of the sepal (in cm) |
| PetalLengthcm | Length of the petal (in cm) |
| PetalWidthcm | Width of the petal (in cm) |
- Logistic Regression
- K Neihbors Classifier
- Decision Tree Classifier
Best Model Accuracy : 86.66