/Iris

An implementation of classification algorithms (KNN & Decision Tree) on Iris data set.

Primary LanguagePython

Iris.

An implementation of classification algorithms on Iris data set. The Iris data set can be downloaded from here. The implementation focuses on predicting and analysing the data using classification algorithms. Accuracy of prediction is observed under different ratio of training and test data for the algorithms.

Algorithms used:

  1. K nearest neighbours
  2. Decision Tree
  3. Random Forest


Accuracy vs Train-Test split:

Decision Tree

K nearest neighbours