Skip to content

Latest commit

 

History

History
6 lines (6 loc) · 464 Bytes

File metadata and controls

6 lines (6 loc) · 464 Bytes

Iris-Flowers-Classification

The iris flowers have different species and you can distinguish them based on the length of petals and sepals. This is a basic project for machine learning beginners to predict the species of a new iris flower. Here I have used Support Vector Machine Algorithm and K-Nearest Neighbors Algorithms to train the models on the train datasets. The Accuracy of the models were: SVM: 97.77% KNN: 100% on test set and 95.23% on train set