Question: Data mining methods for classifying or estimating an outcome based on a set of input variables is referred to as a. supervised learning. b. unsupervised

Data mining methods for classifying or estimating an outcome based on a set of input variables is referred to as

a. supervised learning.

b. unsupervised learning.

c. Interval estimating.

d. data sampling.

DO NOT COPY FROM CHEGG I NEED A FULL EXPLANATION

Step by Step Solution

There are 3 Steps involved in it

1 Expert Approved Answer
Step: 1 Unlock blur-text-image
Question Has Been Solved by an Expert!

Get step-by-step solutions from verified subject matter experts

Step: 2 Unlock
Step: 3 Unlock

Students Have Also Explored These Related Finance Questions!

Q:

QUESTION 6 Data mining methods for classifying or estimating an outcome based on a set of input variables is referred to as a . data sampling b . supervised learning c . unsupervised learning d ....

Q:

Data mining methods for classifying or estimating an outcome based on a set of input variables is referred to as unsupervised learning data sampling supervised learning dimension reduction

Q:

Data mining methods for classifying or estimating an outcome based on a set of input variables is referred to as which of the following? supervised learning unsupervised learning dimension reduction...

Q:

Data mining methods for classifying or estimating an outcome based on a set of input variables is referred to as which of the following? unsupervised learning dimension reduction supervised learning...

Q:

Data mining methods for classifying or estimating an outcome based on a set of input variables is referred to as q , a . dimension reduction b . data sampling c . unsupervised learning d . supervised...

Q:

Data mining methods for classifying or estimating an outcome based on a set of input variables is referred to as which of the following?

Q:

. Data mining methods for classifying or estimating an outcome based on a set of input variables is referred to as a. supervised learning. b. unsupervised learning. c. Interval estimating. d. data...

Q:

n 0/1 pts Data-mining methods for predicting an outcome based on a set of input variables is referred to as C supervised learning. unsupervised learning. dimension reduction. Accessibility:...

Q:

Data - mining methods for predicting an outcome based on a set of input variables are referred to as supervised learning. unsupervised learning. dimension reduction. data sampling.

Q:

We are increasingly seeing new trends in application of emerging technologies, such as blockchain, audit analytics and continuous auditing, artificial intelligence and others in the public sector....

Q:

Alexis deposited $1,000 at the end of every month into an RRSP for 7 years. The interest rate earned was 3.50% compounded semi-annually for the first 3 years and changed to 3.75% compounded monthly...

Q:

Explain on delete cascade with example.

Q:

A medium - sized e - commerce company is planning to upgrade their website's security by acquiring a certificate from a certificate authority ( CA ) . The company wants to ensure that the certificate...

Q:

Draw a class diagram and its relationship based on the following statements. You can use any UML tool/software to represent your class diagram. Do NOT copy and paste your diagram, use the attachment...