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.

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:

• 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:

Here comes the classification of IRIS Dataset using KNN Classifier.

• The classification accuracy before PCA is shown below:

• The classification accuracy before PCA is shown below: