Microsoft Malware Detection using Machine Learning

A malware is any software intentionally designed to cause damage to a computer, server, client or network. Malware is very challenging issue and major concern for privacy of data. This detection can give information about Malicious and Benign data. Machine learning contain Evaluation measures like multi-class log loss, Confusion matrix, precision and recall these four measures are used. Exploratory data analysis, ANOVA, Feature engineering and evaluation are methods for classification machine learning models. In this paper Decision tree model is used for the classification. Max depth for 16 value gives more accuracy score 0.63 as compare to Max depth for 32 value which gives accuracy score 0.5.