Predict probabilities of movie reviews
In this problem, you will build a logistic regression using the movies dataset. The labels are stored in the arrayy and the features in X.
Train the model on the training data. Instead of predicting classes, predict the probabilities that each instance in the test set belongs to each of the two classes.
The logistic regression and train/test splitting functions have been imported for you.
This exercise is part of the course
Sentiment Analysis in Python
Exercise instructions
- Split the data into training and testing set.
- Train a logistic regression model.
- Predict the probabilities for class 0 and for class 1 of the testing data. Class 0 is located as the first column in the predicted probabilities, and class 1 is the second one.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Split into training and testing
X_train, X_test, y_train, y_test = ____(___, ___, test_size=0.2, random_state=321)
# Train a logistic regression
log_reg = ____.____
# Predict the probability of the 0 class
prob_0 = log_reg.____[:, ____]
# Predict the probability of the 1 class
prob_1 = log_reg.____[:, ____]
print("First 10 predicted probabilities of class 0: ", prob_0[:10])
print("First 10 predicted probabilities of class 1: ", prob_1[:10])