Machine Learning model Using Python

Machine Learning model:

This program uses the sklearn library to train a K-Nearest Neighbors (KNN) classifier on the Iris dataset. It first loads the dataset and splits it into training and test sets. The program then creates and trains a KNN classifier using the training data, and finally, it tests the classifier on the test set and prints the accuracy.

Please note that this just an example and you may need to adjust the code depending on your specific requirements.