USING AND TRAINING A MACHINE LEARNING MODULE TO DETERMINE ACTIONS TO BE TAKEN IN RESPONSE TO FILE SYSTEM EVENTS IN A FILE SYSTEM

Provided are a computer program product, system, and method for using and training a machine learning module to determine actions to be taken in response to file system events in a file system. A file system event is detected. An action to be performed corresponding to the file system event is selected from an action list. A determination is made as to whether an outcome in the computing system resulting from the performed action satisfies an outcome threshold. A machine learning module is trained to increase a likelihood of selecting the performed action corresponding to the file system event when the outcome satisfies the outcome threshold. The machine learning module is trained to decrease a likelihood of selecting the performed action corresponding to the file system event when the outcome does not satisfy the outcome threshold.