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http://sklearn.apachecn.org/#/docs/2 Sklearn汉化文档
from pandas import read_csv
from pandas.plotting import scatter_matrix
from matplotlib import pyplot
from sklearn.model_selection import train_test_split
from sklearn.model_selection import KFold
from sklearn.model_selection import cross_val_score
from sklearn.metrics import classification_report
from sklearn.metrics import confusion_matrix
from sklearn.metrics import accuracy_score
from sklearn.linear_model import LogisticRegression
from sklearn.tree import DecisionTreeClassifier
from sklearn.discriminant_analysis import LinearDiscriminantAnalysis
from sklearn.neighbors import KNeighborsClassifier
from sklearn.naive_bayes import GaussianNB
from sklearn.svm import SVC
from warnings import simplefilter
simplefilter(action='ignore', category=FutureWarning)
filename = 'iris.data.csv'
names = ['sepal-length','sepal-width','petal-length','petal-width','class']#sepal萼片 petal花瓣
dataset = read_csv(filename,names=names)
#分离数据集
array = dataset.values
X = array[:,0:4]
Y = array[:,4]
validation_size = 0.2
seed = 7
X_train,X_validation,Y_train,Y_validation=train_test_split(X,Y,test_size=validation_size,random_state=seed)
#算法审查
models={}
models['LR']=LogisticRegression()
models['LDA']=LinearDiscriminantAnalysis()
models['KNN']=KNeighborsClassifier()
models['CART']=DecisionTreeClassifier()
models['NB']=GaussianNB()
models['SVM']=SVC()
results = []
for key in models:
kfold = KFold(n_splits=10,random_state=seed)
cv_results = cross_val_score(models[key],X_train,Y_train,cv=kfold,scoring='accuracy')
results.append(cv_results)
print('%s: %f (%f)'%(key,cv_results.mean(),cv_results.std()))
#箱线图比较算法
# fig = pyplot.figure()
# fig.suptitle('Algorithm Comparison')
# ax = fig.add_subplot(111)
# pyplot.boxplot(results)
# ax.set_xticklabels(models.keys())
# pyplot.show()
svm = SVC()
svm.fit(X=X_train,y=Y_train)
predictions = svm.predict(X_validation)
print(accuracy_score(Y_validation,predictions))
print(confusion_matrix(Y_validation,predictions))
print(classification_report(Y_validation,predictions))