Python : 위스콘신 유방암 데이터 분류분석(2)

랜덤포레스트를 이용한 분석 1) Import packages import pandas as pd import numpy as np from sklearn.model_selection import train_test_split import matplotlib.pyplot as plt from sklearn.metrics import confusion_matrix, classification_report, roc_auc_score from sklearn.ensemble import RandomForestClassifier from sklearn.metrics import accuracy_score 2) 데이터 전처리 df = df.drop('id', axis=1) df.head() df['diagnosis'] = df['diagnosis'].apply(lambda x : 1 if x== "M" else 0) x_train, x_test, y_train, y_test = train_tes...