xavier-homework8

Q1 – Classifier Performance Comparison

Q1a –Analyze the data set Social_Network_Ads.csv and create the plot with correct titles on axes:

Q1b Use the following classifiers

1. Naïve Bayes
2. Logistic Regression
3. Decision Trees
4. KNN
5. Support Vector Machine
6. Random Forest

For each classifier show

• The classifier boundary for training and test
• Printout your 1^st name on all graphs

Q1c Compare the confusion matrix in the following table for the above data set

Q2 – Principal Component Analysis

Summarize how the PCA algorithm works using the following link and recreate the code for the IRIS data set.