Here are 3 question for statistic machine learning class.

(Use R for data analysis)
Data set “birthwt” in R package “MASS” was collected at Baystate Medical Center inSpringfield, MA. It contains the following variables (among others).

low: indicator of birth weight less than 2.5 kg
age: mothers age in years
lwt: mothers weight in pounds before pregnancy
smoke: smoking status during pregnancy (1 = smokes, 0 = does not smoke)ptl: number of previous premature labours
ht: history of hypertension (1 = present, 0 = absent)

(a) A 25-year old pregnant woman weighed 130 pounds before pregnancy. She smokes andhas no history of hypertension or premature labours. Use the given data and your favoritemethod to predict her probability of delivering a low-weight baby.
(b) Use your favorite cross-validation method to compare the prediction classification ratesof

• logistic regression,
• linear discriminant analysis,
• quadratic discriminant analysis.

Which of these methods gives the most accurate prediction of a low-weight newborn?You may start your R code with commands

> install.packages(”MASS”); > library(MASS); > attach(birthwt);