text: import pandas as pd
  import numpy as np
  import matplotlib.pyplot as plt
  
  
  dataset = pd.read_csv('breast_cancer.csv')
  X = dataset.iloc[:, 1:10]
  Y = dataset.iloc[:, -1]
  
  
  from sklearn.linear_model import LogisticRegression
  classifier = LogisticRegression(random_state = 0)
  classifier.fit(X, Y)
  
  
  from sklearn.model_selection import cross_val_score
  accuracies = cross_val_score(estimator = classifier, X = X, y = Y, cv = 10)
  print("Accuracy: {:.2f} %".format(accuracies.mean()*100))
  print("Standard Deviation: {:.2f} %".format(accuracies.std()*100))
  
  
  Y_pred = classifier.predict([[4, 4, 2, 3, 3, 4, 5, 4, 2]])
  