https://github.com/syamkakarla98/pca-on-iris-dataset-with-classification-using-knnc

In this repository , You can find the files which implements Principal Component Analysis on Iris Dataset and Classification using K-Nearest Neighbor Classifier.
https://github.com/syamkakarla98/pca-on-iris-dataset-with-classification-using-knnc

Last synced: 6 months ago
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In this repository , You can find the files which implements Principal Component Analysis on Iris Dataset and Classification using K-Nearest Neighbor Classifier.

• Host: GitHub
• URL: https://github.com/syamkakarla98/pca-on-iris-dataset-with-classification-using-knnc
• Owner: syamkakarla98
• Created: 2018-06-09T02:05:59.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2018-09-24T16:38:43.000Z (over 6 years ago)
• Last Synced: 2023-10-20T23:18:44.566Z (over 1 year ago)
• Language: Python
• Homepage:
• Size: 140 KB
• Stars: 17
• Watchers: 1
• Forks: 8
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • Code of conduct: CODE_OF_CONDUCT.md

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README

        
# PCA On IRIS Dataset With Classification Using KNNC

### In this repository you will find the **IRIS Dataset** with dimensions150 X 4 .

* After performing PCA on we will get four **_Principal Componenets_**.Then the resultant bargraph of the Principal Componenets is:

![variance_ratio_of_iris](https://user-images.githubusercontent.com/36328597/41186940-a25e37e6-6bbd-11e8-957d-a2e505518d0a.png)

* Since the first two principal components have high variance we will select them for dimensionality reduction.

* After dimensionality reduction, the dataset will be 150 X 2.The scatter plot of two principal components is shown below:

![iris_after_pca](https://user-images.githubusercontent.com/36328597/41186972-19500960-6bbe-11e8-8f6f-4bf752598e47.JPG)

### Here comes the classification of **IRIS Dataset** using **KNN Classifier**.

* The classification accuracy before **PCA** is shown below:

![accuracy_before_pca](https://user-images.githubusercontent.com/36328597/41187067-1bf1fb18-6bc0-11e8-8eff-efb3a4fc89e9.JPG)

* The classification accuracy before **PCA** is shown below:

![accuracy_after_pca](https://user-images.githubusercontent.com/36328597/41187074-373fddb8-6bc0-11e8-882c-79bfcb93e533.JPG)