写一个能够检测信用卡交易中的欺诈的计算机程序.
这里有一个示例Python程序可以检测信用卡交易中的欺诈: ``` # 进口必需库进口pandas作为pd从sklearn.ensemble进口RandomForestClassifier从sklearn.model_selection进口train_test_split从sklearn.metrics进口混_矩阵从sklearn.preprocessing进口StandardScaler # 加载数据集 = pd.read_csv('creditcard.csv') # 准备数据 X = data.iloc[:,:-1].values y = data.iloc[:, -1].values y = StandardScaler() X = sc.pred_transformX) # 分割数据和测试 X_train, X_test, y_test, y_test_split从sklearn.metrics进口混_矩阵, y_test, y_size=2=5cm, y_test_scaler # 加载数据集数据 = pd.read_csv) # 准备数据 X = data.iloc[:, -1.values y = data.iloc[, -1.values = StandardScaler() X = sc.pred_transformX) # 分割数据组和测试 X_test, X_test_split, y_test_split, y_test_split, y_test_split, y_test_splitrix, y_sklearn.preprocessing进口StandardScaler # 输入标准尺寸# 创建一个数据集数据集数据集数据集 = pd.read_csv=2=5=cv=cv0=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=cv=