This program applies simple machine learning classification concepts on Fisher's Iris Data to predict the species of a new sample of Iris flower.
- The data set consists of 150 samples
- Four features for each sample: petal_length, petal_width, sepal_width, sepal_length
- Classifiers applied:
- SVM
- Decision Tree Classifier
- Logistic Regression
- KNN