This project is part of the Machine Learning coursework. Training the iris dataset via linear regression. Using Supervised Learning to do classification. Using k-fold cross validation here.
Application Used: Spyder
Language Used: Python 3.7
Libraries used: Numpy, sklearn(cross_val_predict, cross_val_score, cross_val_predict, Kfold, train_test_split)
Input file: iris.data
Program File: code.py
Input: python code.py
Output:
runfile('C:/Users/Shreyas Mohan/Documents/Fall 19/Machine Learning/Project1_sxm9806/code.py', wdir='C:/Users/Shreyas Mohan/Documents/Fall 19/Machine Learning/Project1_sxm9806')
[-0.04558273 -0.63329621 0.52108015 -0.45601488 1.91854987]
2 -fold Cross-validation scores: 1.0
3 -fold Cross-validation scores: 1.0
4 -fold Cross-validation scores: 1.0
5 -fold Cross-validation scores: 1.0
6 -fold Cross-validation scores: 1.0
7 -fold Cross-validation scores: 1.0
8 -fold Cross-validation scores: 1.0
9 -fold Cross-validation scores: 1.0