Classification of Iris Flower by Random Forest Algorithm

With the introduction of artificial intelligence into our lives, researches and applications in different fields such as agriculture, health, military engineering have become very popular iris flower was classified using Random Forest, support vector machine Artificial neural network learning classifiers with high accuracy rates. As a result classification, performance trained models evaluated according to confusion matrix, sensitivity, specificity, accuracy, F1 score, ROC curve AUC evaluation criteria. The random forest algorithm most successful among algorithms an rate 97%.