Naan Muthalvan Project

1. Topic On:
Building a model to perform an SVM
Classification for the Diabetes Dataset.
Madras Institute of Technology
Anna University
By
Harihara Viswa 2020508020
Hemanathan 2020508022
Hariharan 2020508021
Gnaneshwaran 2020508014
Naresh 2020508031

2. What is Machine Learning?
It’s a Branch of Artificial Intelligence, that is defined as a training a software
program with examples, experiments, or experiences, so that it can
recognize patterns, make predictions, and complete tasks.
Simply self-learning and adaptive system

3. 1. Reading the data
2. Exploratory Data Analysis

5. 3. Explore the Missing Values in Variables

6. 4. Handle Outliers

9. 5. Data Visualization
5.1 Count plot

10. 5.2 Pair Plot

13. 5.3 Histogram

15. 5.4 Heatmap

16. 6. Declare Feature Vector and Target Variable

17. 7. Split data into separate training and test set
8. Perform Feature Scaling

18. 9. Run SVM with default Hyperparameter

19. 10. Run SVM with RBF Kernel
11. Run SVM with Linear Kernel

20. 12. Run SVM with Polynomial Kernel
13. Run SVM with Sigmoid Kernel

21. 14. Compare the Train-Set and Test-Set Accuracy
Model accuracy score for train-set: 0.8127
15. Summarize Performance using Confusion Matrix

22. 16. Evaluate Model Performance with Classification Report

23. 17. Analyse Performance Visually