In association rules, given items X and Y, what does lift measure?
Which analytic technique would be appropriate to estimate home sale price in U.S. dollars as a function of square footage, number of bedrooms, and lot size?
You build a decision tree to classify five different types of customers based on their browsing history from a sample of 500. The resulting decision tree has 17 layers. One of the leaf nodes has only three customers.
What do you conclude?
How should project results be communicated to executives and the project sponsor?
What converts SQL-like commands into either Tez, Spark, or MapReduce jobs that are submitted to the Hadoop cluster?
In the data preparation phase of the data analytics lifecycle, what does the term “data conditioning” refer to?
What data asset is an example of quasi-structured data?
Refer to the exhibit.
To predict whether or not a customer will renew their annual property insurance policy, an insurance company built and operationalized a naïve Bayes classification model. In the model, there are two class labels, renewal and non-renewal, that are assigned to each customer based on their attributes.
A subset of the key attributes, their values, and corresponding conditional probabilities are provided in the exhibit.
A customer has the following attributes:
● Age is greater than 65 years
● Owns their own home
● Renewal month is August
If 20% of customers do not renew the police every year, what is the score for a renewal in the naïve Bayesian model for the customer described above?
In ANOVA, what is the null hypothesis for k population means?
What is part of the model output for a linear regression?
