c$)$ Design the following steps involved in building the Logistics Regression

$10$

model using breast cancer dataset,

Import Libraries and the dataset

Splitting the dataset into the Training set and Test set with test size $=20\%$

Feature Scaling $-$Apply Standard Scalar on complete X$-$train and X$-$test

Training the Logistic Regression model on the Training set

Print the confusion matrix, accuracy score and classification report.

Wd clump$\_$thickness sze$\_$uniformity shape$\_$unitorwliy matgihal$\_$adhosion rppiticiial$\_$size bars.nucleoll bland$\_$chromaten nortal$\_$nucleoli

$\backslash$table$[[1000025,5,1,1,1,2,1,3,1],[1022445,5,4,4,5,7,10,3,2],[1015+25,3,2,1,1,2,z,3,1],[1015277,6,8,g,1,3,4,3,7],[1017023,4,1,1,3,2,1,3,1]]$