/Iris_Classifiers

Iris classification project

Primary LanguagePythonMIT LicenseMIT

Iris_Classifiers

Python MIT Type Type Status

Install

This project requires Python 3.1

Data

The dataset used in this project is included as iris.csv. This dataset is a freely available on the UCI Machine Learning Repository. This dataset has the following attributes:

Features

Features : SepalLengthCm , SepalWidthCm, PetalLengthCm, PetalWidthCm

Target Variable

Target: Species

Outcome

We basically used 3 types of classifiers to predict the outcome of the IRIS types.

kNN The accuracy score turned out to be 1 . This might be due to the less number of data in the datasets since in the real life situations the datasets we deal with has data over 100000 entries.