Skip to content

Logistic Regression and you will Discriminant Research > str(biopsy) ‘data

Logistic Regression and you will Discriminant Research > str(biopsy) ‘data

Having fun with feature1*feature2 into the lm() means regarding password throws the enjoys as well as its correspondence name regarding the design, the following: > worth

Linear Regression – The fresh new Clogging and Dealing with from Host Understanding $ indus $ $ $ $ $ $ $ $ $ $ $

: num dos.31 7.07 7.07 2.18 dos.18 2.18 seven.87 eight.87 seven.87 eight.87 . chas : int 0 0 0 0 0 0 0 0 0 0 . nox : num 0.538 0.469 0.469 0.458 0.458 0.458 0.524 0.524 0.524 0.524 . rm : num 6.58 6.42 7.18 seven eight.fifteen . ages : num 65.dos 78.9 61.step one forty five.8 54.2 58.eight 66.six 96.1 100 85.9 . dis : num cuatro.09 cuatro.97 cuatro.97 six.06 six.06 . rad : int 1 2 2 3 step three step 3 5 5 5 5 . taxation : num 296 242 242 222 222 222 311 311 311 311 . ptratio: num 15.3 17.8 17.8 18.eight 18.eight 18.7 15.dos fifteen.dos 15.dos 15.dos . black : num 397 397 393 395 397 . lstat : num cuatro.98 nine.fourteen 4.03 2.94 5.33 . medv : num twenty four 21.6 34.7 33.4 36.2 twenty-eight.seven twenty two.nine 27.step 1 16.5 18.nine .

frame’: 699 obs. off 11 variables: $ ID : chr “1000025” “1002945” “1015425” “1016277” . $ V1 : int 5 5 step 3 6 cuatro 8 step one dos dos 4 . $ V2 : int step 1 4 step 1 8 1 10 1 1 1 dos . $ V3 : int 1 4 step 1 8 1 ten step 1 dos step one step 1 . $ V4 : int step one 5 1 1 step 3 8 1 step one step one step one . $ V5 : int 2 eight 2 step three 2 eight dos 2 2 2 . $ V6 : int step 1 ten 2 cuatro 1 10 10 step one step one step one . $ V7 : int step 3 step three step 3 step three step three 9 3 step 3 1 2 . $ V8 : int step 1 2 step 1 7 step 1 seven 1 1 1 step 1 . $ V9 : int 1 1 step 1 step 1 step 1 step one step one step 1 5 step 1 . $ class: Basis w/ dos account “benign”,”malignant”: 1 step 1 step 1 step 1 step one dos 1 step one 1 1 . (more…)

Details