Question: I need support to why cross-validation is used in both supervised learning (classification) and unsupervised learning (clustering) in data mining and warehousing? Please write with

I need support to why cross-validation is used in both supervised learning (classification) and unsupervised learning (clustering) in data mining and warehousing?

Please write with your own words and don't copy or use handwriting.

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 Databases Questions!

Course: Data Mining and Data Warehousing Code: IT446 Explain why cross-validation is used in both supervised learning (classification) and unsupervised learning (clustering)?

Course: Data Mining and Data Warehousing Question Explain why cross-validation is used in both supervised learning (classification) and unsupervised learning (clustering)?

Please I need a full answer to the following question quickly: Explain why cross-validation is used in both supervised learning (classification) and unsupervised learning (clustering)? Please no...

** Please don't use hand writing and don't copy and paste *** I want unique answer .. write the number of question .. Thank you Q1: Explain why cross-validation is used in both supervised learning...

unique answer please Explain why cross-validation is used in both supervised learning (classification) and unsupervised learning (clustering)?

Machine learning MCQS QUESTION 20 on the correlation Which approach is based measurements within a system? Signal based method Model Based method Data driven method None of the mentioned 0.5 points...

Please implement a Naive Bayes classifier in Python 3 and apply it to the mushroom data sets provided: mushroom - training.data, and mushroom - testing.data. You are to train using just the training...

What is Model building? a . Building a model b . Selecting the model c . Making the model for training and testing on data d . None of the Above Question 2 Not yet answered Marked out of 1 . 0 0 Not...

Before any detailed analysis task is performed and statistical model is fit to data, the input data is preprocessed and cleaned during the exploration phase of the analysis process. This phase is...

Define recession and expansion. What are the be-ginning and ending points of a recession called? In the postwar United States, which have been longer on average: recessions or expansions

Solve x *( dy/dx) + y = x ^ 3 * y ^ 6

Why is a utility function important in complex environments? Select one: It allows the agent to follow a strict set of actions. It helps in choosing actions leading to the most preferred states. It...

5. Develop a scenario comparing two PH programs and involving the use of a CBA.

(Appendices) Describe the difference between F.O.B. shipping point and F.O.B. destination. LO56

(Appendices) What are sales returns? Why do sales returns occur? LO86

(Appendices) What are the components of cost of goods available for sale and of cost of goods sold? Assume that the firm uses the gross method of recording purchase discounts. LO45