Machine-Learning-Models-On-Iris-DataSet

Implementing Different Machine Learning Algorithms like: 1.Logistic Regression (LR). 2.Linear Discriminant Analysis (LDA). 3.K-Nearest Neighbors (KNN). 4.Classification and Regression Trees (CART). 5.Gaussian Naive Bayes (NB). 6.Support Vector Machines (SVM). were applied on the well known IRIS dataset. The models were implemented using sci-kit learn standard libraries and K-fold cross evaluation was done to train the models. Then the best performing model was chosen and applied on a held out validation set and its performance was measured.