APPLICATION OF SUPERVISED LEARNING
MACHINE LEARNINGHARD QUESTIONS
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
print(’Training set score:{:.4f}’.format(logreg.score(X ____ train, y ____ train))) print(’Test set score:{:.4f}’.format(logreg.score(X ____ test, y ____ test)))What is the use of this code?
|
print the scores on training and test set
|
|
print the scores on training
|
|
print the scores on training and test set and format the data
|
|
none of these
|
Explanation:
Detailed explanation-1: -accuracy score(y train, y train pred) to get the training accuracy. Alternatively, you can use clf. score(X train, y train), which should give you the same result.
Detailed explanation-2: -Step 1-Import required libraries. Step 2-Load, visualize and explore the dataset. Step 3-Clean the data set. Step 4-Deal with the outliers. Step 5: Define dependent and independent variables and then split the data into a training set and testing set. Step 6-Fit a logistic regression model using sklearn. More items •08-Feb-2022
There is 1 question to complete.