We examine which information mutual fund investors make use of when they invest, using a machine learning method. We find that investors mostly consider fund characteristics including past flows and returns, but hardly respond to stock characteristics that a fund is holding although they are important to predict fund performance. Finally, we find that return predictability worsens if we only use the information that investors primarily consider.