Auburn University Montgomery Machine Learning Python Jupyter Notebook File

1. Ensemble Learning

sklearn comes with several data sets. Load data set called iris dataset by running following code

from sklearn.datasets import load_iris
iris = load_iris()

iris is a dataset that contains the sepal and petal length and width of 150 iris flowers of three different species: Iris-Setosa, Iris-Versicolor, and Iris-Virginica.

Use SVM, Logistic regression, and K-nearest neighbour classifiers to classify Iris-Virginica. and non-Iris-Virginica. create an esemble using a voting classifier. Compare the performance of voting classifier with that of individual classifier.

2. Perceptron
use a singler LTU network (a perceptron) to classify the same iris dataset as above. Compare the performance with the ensemble class performance
Hint: Use from sklearn.linear_model import Perceptron

What to submit?

A single jupyter notebook file with code, results and your answers.