SVM Machine Learning
Dataset used: Heart Disease (not in sklearn)
You are asked to implement the SVM classifier for the heart disease dataset. All you need to do is:
See the article at URL: https://medium.com/@am7799/machine-learning-on-heart-disease-dataset-8a930cefff1d and run the instructions in the article.
You have to do something different, which is to evaluate using CV (Cross-Validation) and not to use the split used by the article.
SVM must be modeled using a kernel trick and a minimum of four different kernels. C value can be determined alone. also provide
The SVM kernel information used (including parameters used in the kernel) and the evaluation results use CV (Cross-Validation). and also plot precision-recall (PR) graphic.

Answer rating: 100% (QA)

This code is made by Python import numpy as np import pandas as pd from sklearnmodelselection import traintestsplit from sklearnmodelselection import ... View the full answer