  The topic of mobile malware detection on the Android platform has attracted
significant attention over the last several years. However, while much research
has been conducted toward mobile malware detection techniques, little attention
has been devoted to feature selection and feature importance. That is, which
app feature matters more when it comes to machine learning classification.
After succinctly surveying all major, dated from 2012 to 2020, datasets used by
state-of-the-art malware detection works in the literature, we analyse a
critical mass of apps from the most contemporary and prevailing datasets,
namely Drebin, VirusShare, and AndroZoo. Next, we rank the importance of app
classification features pertaining to permissions and intents using the
Information Gain algorithm for all the three above-mentioned datasets.
