ValueError: could not convert string to float: 'Default'

Question

I am getting a Value Error, when fitting Logistic Regression model onto Corporate Default dataset. Error is:

ValueError: could not convert string to float: 'Default'

Can someone advise the reason for such an error and how to resolve it? Here is my code for reference.

features=data_select_new.drop('Default', axis=1)
df['Label']= 'Default'

X_train, X_test, Y_train, Y_test = train_test_split(features,df['Label'], test_size=0.30, random_state=42)

lr=LogisticRegression()
lr.fit(X_train, Y_train)

Answer 1

df['Label']= 'Default' creates a column with 'Default' on each row. As you You probably want to predict the column 'Default' from the original daset, you can write instead:

df['Label'] = data_select_new['Default']