我已经从我的数据集中选择了特征,然后当我试图从我的数据集中选择那些特征时,我得到了这个错误。为什么会这样?在
dataset = pd.read_csv('Banking Dataset.csv')
LabelEncoder1 = LabelEncoder()
independent_variables[:,1] = LabelEncoder1.fit_transform(independent_variables[:,1])
LabelEncoder2 = LabelEncoder()
independent_variables[:,2] = LabelEncoder2.fit_transform(independent_variables[:,2])
onehotencoder = OneHotEncoder(categorical_features=[1])
independent_variables = onehotencoder.fit_transform(independent_variables).toarray()
X_train, X_test, Y_train,Y_test = train_test_split(independent_variables,target_values ,test_size=0.25,random_state=0)
c = DecisionTreeClassifier(min_samples_split=100)
features =["CreditScore","Geography","Gender","Age","Tenure","Balance","NumOfProducts","HasCrCard","IsActiveMember","EstimatedSalary"]
X = X_train(features)
输出:
未来警告:不推荐使用非元组序列进行多维索引;请使用arr[tuple(seq)]
而不是arr[seq]
。将来,它将被解释为数组索引arr[np.array(seq)]
,这将导致错误或不同的结果。
X_train=X_train[特征]
回溯(最近一次呼叫):
索引器错误:只有整数、切片(:
)、省略号(...
),新轴(None
)和整数或布尔数组是有效的索引
Process finished with exit code 1
错误代码是说特定行
X=X_train(features)
在()的功能部件周围应该有方括号[]。i、 e
X=X_train[features]
使用下面的
而不是
^{pr2}$调用numpy数组时使用
[]
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