• Pala Prathima
• Ranjith Kumar

Many classification techniques are implemented on different datasets in Machine Learning. This paper gives an idea on different classification techniques implementation and comparison with example an Iris Species Dataset. First dataset is preprocessed and categorized into two parts training set and test set then techniques like K-Nearest Neighbors, Decision Tree, Support Vector Machine(SVM) and Random Forest are used. Finally, accuracy of different techniques is compared.

Machine Learning, K-Nearest Neighbors, Decision Tree, SVM, Random Forest

"Comparison on Iris Dataset Using Classification Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 8, page no.c315-c319, August-2021, Available :http://www.jetir.org/papers/JETIR2108290.pdf

"Comparison on Iris Dataset Using Classification Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 8, page no. ppc315-c319, August-2021, Available at : http://www.jetir.org/papers/JETIR2108290.pdf