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import pandas as pd     # 相当于R的data.frame
import numpy as np      #  numpy主要用来处理矩阵（组学数据）
import matplotlib.pyplot as plt
import matplotlib
import seaborn as sn
from sklearn.model_selection import train_test_split, cross_val_score, cross_val_predict
# sklearn = science + kit + learn， 机器学习的kit集 
from sklearn.preprocessing import StandardScaler    # 模型加工，标准化
from sklearn.neighbors import KNeighborsClassifier      #KNN
from sklearn.metrics import confusion_matrix, classification_report, accuracy_score
#   模型性能评估，accuracy， precision， recall， confusion matrix， F1-score， ROC + AUC ...