a. Using the naive rule on the training set, classify a customer with the following characteristics: Age=40, Experience=10, Income=84, Family=2, CCAvg=2, Education_2=1,
Education_3=0, Mortgage=0, SecuritiesAccount=0, CD Account=0, Online=1 a
Simple guide to confusion matrix terminology
A confusion matrix is a table that is often used to describe the performance of a classification model (or
"classifier") on a set of test data for which the true values are known. The confusion matrix itself is
A. Supervised learning because it is whether the loan is approved or not.
B. Unsupervised learning because no outcome.
C. Supervised learning because other packets status is known.
D. Unsupervised learning be
What is Big Data?
Big data is not just some big idea for tomorrow. Today indeed this very instant its
fundamentally changing how companies serve customers, manage operations and define their
business models (Let's
Homework # 3
Rule 1 indicates that if a Survey course, Forecast Course and Software course are purchased,
then with 100% confidence an Introduction course and Categorical Data Course will also be
purchased. The Suppo
Chapter 7: 7.1 parts (a) - (e). For parts (a) and (d) use the following info about the customer for
the classification if it is missing in your textbook:
A. The customer would be classified as not accepting t