Likewise, nearly all of our challenges during the advancing half - cycle since 2009 can be traced to my 2009 decision to stress - test our market return /
risk classification methods against Depression - era data, which inadvertently led us to overemphasize «overvalued, overbought, overbullish» syndromes that had reliably warned of market losses in prior market cycles across history.
Conducted data analysis using logistical model, LDA, QDA, KNN, tree
classification and random forest
method to identify high readmission
risk patient and improved the accuracy (C - scores) by 30 percent.