ValueError: Unknown label type: 'continuous' Logistic Regression

Question

Trying to Perform logistic regression on Fuel Economy Dataset

But getting this error:

ValueError: Unknown label type: 'continuous' 

Code:

X = fuel.drop('Fuel Economy (MPG)', axis=1).values
y = fuel['Fuel Economy (MPG)'].values

from sklearn.preprocessing import StandardScaler
sc = StandardScaler()
X = sc.fit_transform(X)

from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.30)

from sklearn.linear_model import LogisticRegression
logir = LogisticRegression()

logir.fit(X)

Answer 1

Logistic Regression is for classification problems and can only be used with discrete or categorical values. Here I guess you are trying to predict a car's fuel economy based on its horsepower, so you are predicting a continuous value. For this you should use a Regression algorithm like Linear Regression or SVR.

To learn more about Linear Regression check out this article on ml-concepts.com.