我正在用python编写knn。任何能帮我的人。
我的代码
导入numpy作为np导入pandas作为pd从sklearn.model\u selection导入train\u test\u split从sklearn.preprocessing导入matplotlib.pyplot作为plt从sklearn.neighborsClassifier从sklearn.metrics导入conflusion\u matrix导入pickle从sklearn.model\u selection导入gridsearchcv从sklearn.multioutput导入multioutputclassifier

# training/validation set
train_set = pd.read_csv("trainingtesting.csv")
# test set
test_set = pd.read_csv("validation.csv")
X = train_set.iloc[:,0:1].values  #RSSI
Y = train_set.iloc[:,1:3].values   #X,Y (OUTCOME)
X_train, X_test, Y_train, Y_test = train_test_split(X, Y, test_size=0.2, random_state=0)
# print(X_train.shape)
# print(Y_test)
# print(Y_train)
sc = StandardScaler()                #feature scalin
X_train = sc.fit_transform(X_train)
X_test = sc.transform(X_test)
# import math
# print(math.sqrt(len(Y_test)))
classifier = KNeighborsClassifier(n_neighbors=1, p=3, metric='euclidean')
classifier.fit(X_train, Y_train)
# Save the trained model as a pickle string.
saved_model = pickle.dumps (classifier)
# Load the pickled model
classifier_from_pickle = pickle.loads(saved_model)
# Use the loaded pickled model to make predictions
classifier_from_pickle.predict(X_test)
Y_pred = classifier.predict(X_test)
# print(Y_pred)
cm = confusion_matrix(Y_test, Y_pred)
print(cm)

error cm=confusion\u matrix（y\u test，y\u pred）file“c:\users\92316\appdata\local\programs\python37\lib\site packages\sklearn\metrics\u classification.py”，第268行，在confusion\u matrix y\u type中，y\u true，y\u pred=\u check\u targets（y\u true，y\u pred）文件“c:\users\92316\appdata\local\programs\python37\lib\site packages\sklearn\metrics\u classification.py”，第97行，在检查目标中
raise valueerror（“{0}不受支持”。format（y\u type））valueerror:不支持多类多输出