Running LogisticRegression and SVC
In this exercise, you'll apply logistic regression and a support vector machine to classify images of handwritten digits.
This exercise is part of the course
Linear Classifiers in Python
Exercise instructions
- Apply logistic regression and SVM (using
SVC()) to the handwritten digits data set using the provided train/validation split. - For each classifier, print out the training and validation accuracy.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
from sklearn import datasets
digits = datasets.load_digits()
X_train, X_test, y_train, y_test = train_test_split(digits.data, digits.target)
# Apply logistic regression and print scores
lr = ____
lr.____
print(____)
print(____)
# Apply SVM and print scores
svm = ____
svm.____
print(____)
print(____)