How to test machine learning algorithms with k-fold cross validation

Given a prediction scenario involving a machine learning algorithm, the first question to ask is what is the appropriate machine learning algorithm? Taking the example of predicting a user’s activity based on mobile phone accelerometer data, we must be able to classify a category for the data (resting, walking, or running). As Talend leverages Spark MLlib out-of-the-box, we evaluate some of the popular algorithms which fall under classification.