ValueError: Number of features of the model must match the input

Question

I\'m getting this error when trying to predict using a model I built in scikit learn. I know that there are a bunch of questions about this but mine seems different from the

Answer 1

Below correction to original answer from Scratch'N'Purr would help solve issues one might face using string as value for new inserted column 'label' -
train_df = pd.read_csv("Cinderella.csv") train_df['label'] = 1

    score_df = pandas.read_csv("Slaughterhouse_copy.csv")
    score_df['label'] = 2

    # Concat
    concat_df = pd.concat([train_df , score_df])

    # Create your dummies
    features_df = pd.get_dummies(concat_df)

    # Split your data
    train_df = features_df[features_df['label'] == '1]
    score_df = features_df[features_df['label'] == '2]
    ...