Libraries used.py

# libraries used --> 
import numpy as np
import pandas as pd
from sklearn.datasets import load_breast_cancer
from sklearn.pipeline import make_pipeline
from sklearn.preprocessing import StandardScaler
from sklearn.metrics import precision_score
from sklearn.datasets import make_classification
from sklearn.model_selection import train_test_split

# models -->
from sklearn.neighbors import KNeighborsClassifier
from sklearn.linear_model import LogisticRegression
from sklearn.svm import SVC
from sklearn.ensemble import RandomForestClassifier