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.
Este ejercicio forma parte del curso
Sentiment Analysis in Python
Instrucciones del ejercicio
- 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.
Ejercicio interactivo práctico
Prueba este ejercicio completando el código de muestra.
# 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])