NBC算法的python伪代码

以下是NBC算法的python伪代码：

#导入必要的库
import pandas as pd
import numpy as np
from sklearn.naive_bayes import GaussianNB
from sklearn.model_selection import train_test_split

#读取数据集
data=pd.read_csv('dataset.csv')

#分离特征和目标
X=data.iloc[:,:-1]
y=data.iloc[:,-1]

#将数据集分为训练集和测试集
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=42)

#定义NBC模型
model=GaussianNB()

#训练模型
model.fit(X_train,y_train)

#预测测试集结果
y_pred=model.predict(X_test)

#计算模型的准确率
accuracy=np.sum(y_pred==y_test)/len(y_test)
print('Accuracy:',accuracy)