Choosing the right estimator#
Often the hardest part of solving a machine learning problem can be finding the right estimator for the job. Different estimators are better suited for different types of data and different problems.
The flowchart below is designed to give users a bit of a rough guide on how to approach
problems with regard to which estimators to try on your data. Click on any estimator in
the chart below to see its documentation. The π emoji is to be read as βif this
estimator does not achieve the desired outcome, then follow the arrow and try the next
oneβ. Use scroll wheel to zoom in and out, and click and drag to pan around. You can
also download the chart: ml_map.svg
.