Evaluation and Performance Analysis of Machine Learning Algorithms

Prediction is widely researched area in data mining domain due to its applications. There are many traditional quantitative forecasting techniques, such as ARIMA, exponential smoothing, etc. which achieved higher success rate in the forecasting but it would be useful to study the performance of alternative models such as machine learning methods. This paper gives performance measures of various machine learning algorithms used for prediction. The goal is to find how different machine learning algorithms gives performance when applied to different types of datasets.