import matplotlib
import pandas as pd
import sklearn
import numpy as np
from pandas import DataFrame
import seaborn as sns
import matplotlib.pyplot as plt
from matplotlib.font_manager import FontProperties
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from sklearn.model_selection import KFold
from sklearn.metrics import classification_report
from sklearn.model_selection import learning_curve
from sklearn.model_selection import validation_curve
from sklearn.model_selection import cross_val_score
from sklearn.preprocessing import StandardScaler
from sklearn.decomposition import PCA
from sklearn.metrics import confusion_matrix
from sklearn.model_selection import train_test_split
from sklearn import metrics
from sklearn.svm import SVR, SVC
from sklearn.neighbors import KNeighborsClassifier
from sklearn.metrics import mean_squared_error, mean_absolute_error # 评价指标
from sklearn.metrics import f1_score, roc_auc_score, accuracy_score
from sklea
机器学习多分类模板 AUC AP PR曲线 混淆矩阵算法对比
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转载自blog.csdn.net/qq_38735017/article/details/131743761
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