PB HLTH 245 Lecture Notes - Lecture 7: Receiver Operating Characteristic, Deep Learning, Numerical Analysis

• School: Berkeley
• Department: Public Health
• Course: PB HLTH 245
• Professor: Lexin Li

Document Summary

Discriminant analysis and classification (cid:8869) basis of ml concepts , data mining , deep learning. Discrimination analysis i. to find differential feature whose numerical values are being separated as much as possible era : am. = probability of predicting l given truth is l. = probability of predicting i given truth is o (cid:8869) biology research sensitivity = l- specificity = Ti p precision - recall : tf false positive rate . Yi 011 predictor vector : x - Ca - - . xz - - - xp ) " Direct evaluate the probability prior : 71=74--1 ) and 70=174--0) conditional density xiy = flex) = fax 14=1 ) face ) - f- cny- 71 14--1177414=0 ) i t pull x ) --744477mt. Bayes classification rule ( ui -no)t e-" x 7cm , - no )te " i centro) for atxztzcatnhtateeo) bet a = e-" cul - mo ) Rda : nyt - 0 cui , ei )