This week, in addition to the progress I made on the code-aspect, I spent a lot of time making changes to my final presentation. Code wise, however, I modified the correlation detection algorithm. I'm working on maximizing the likelihood that "stressful factors" appear in the predicted stressful events. As it stands now, about 70% of predicted stressful events contain "stressful factors" while the other 30% contain factors that are highly correlated with the stressful factors. I'm trying to figure out the best way to filter those non-stressful factors to emphasize the impact of the truly stressful ones. Notable files include Node.java, CorrelationGraph.java, EventGraph.java, and EventSimulator.java
@poorvi-vora
This week, in addition to the progress I made on the code-aspect, I spent a lot of time making changes to my final presentation. Code wise, however, I modified the correlation detection algorithm. I'm working on maximizing the likelihood that "stressful factors" appear in the predicted stressful events. As it stands now, about 70% of predicted stressful events contain "stressful factors" while the other 30% contain factors that are highly correlated with the stressful factors. I'm trying to figure out the best way to filter those non-stressful factors to emphasize the impact of the truly stressful ones. Notable files include Node.java, CorrelationGraph.java, EventGraph.java, and EventSimulator.java