This site uses different types of cookies, including analytics and functional cookies (its own and from other sites). To change your cookie settings or find out more, click here. If you continue browsing our website, you accept these cookies.
I built a huge datamart (more than 8 000 fields) and now I'd like to build a predictive model on a binary target.
I'd like to know if there is an algorithm, like features selection algorithm, that could make a pre-selection of fields. It'd suppress for example all the fields that are not correlated to the target to reduce the number of candidates fields for the modeling.
I have Java 8 installed on my computer. Is there anything I have to do differently? Whenever it runs, i get the error ".onLoad failed in loadNamespace() for 'rJava', details: package or namespace load failed for 'FSelector'"