3. An analytics consultant at an insurance company has built an ABT that will be used to...
Question:
3. An analytics consultant at an insurance company has built an ABT that will be used to train a model to predict the best communications channel to use to contact a potential customer with an offer of a new insurance product.15 The following table contains an extract from this ABT—the full ABT contains 5,200 instances.
The descriptive features in this dataset are defined as follows:
AGE: The customer’s age GENDER: The customer’s gender (male or female)
LOC: The customer’s location (rural or urban)
OCC: The customer’s occupation MOTORINS: Whether the customer holds a motor insurance policy with the company (yes or no)
MOTORVALUE: The value of the car on the motor policy HEALTHINS: Whether the customer holds a health insurance policy with the company (yes or no)
HEALTHTYPE: The type of the health insurance policy (PlanA, PlanB, or PlanC)
saving).
Discuss this data quality report in terms of the following:
a. Missing values
b. Irregular cardinality
c. Outliers
d. Feature distributions
Step by Step Answer:
Fundamentals Of Machine Learning For Predictive Data Analytics Algorithms Worked Examples And Case Studies
ISBN: 9780262029445
1st Edition
Authors: John D. Kelleher, Brian Mac Namee, Aoife D'Arcy