The aim of the project is to detect whether the person has heart
disease or not by using his ECG wave.
This paper proposes a technique for ECG Arrhythmia classification
by using 6 recognised machine learning models like SVM,KNN,RF,DT,
DA and NB in order to obtain the optimal classifier and its parameters.
The proposed techniques uses 7 statistical features namely Mean,
rom the QRS complex.