Question: 1) Suppose that we want to select between two prediction models, M1 and M2. We have performed 10 rounds of 10-fold cross-validation on each model,

1) Suppose that we want to select between two prediction models,

1) Suppose that we want to select between two prediction models, M1 and M2. We have performed 10 rounds of 10-fold cross-validation on each model, where the same data partitioning in round i is used for both M1 and M2. The error rates obtained for M1 are 30.5, 32.2, 20.7, 20.6, 31.0, 41.0, 27.7, 26.0, 21.5, 26.0. The error rates for M2 are 22.4, 14.5, 22.4, 19.6, 20.7, 20.4, 22.1, 19.4, 16.2, 35.0. Comment on whether one model is significantly better than the other considering a significance level of 1%. 2) Compare classification and prediction tasks. 3) Is an ensemble method always better than a single classifier ? Explain

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!

The Tuff Wheels was getting ready to start its development project for a new product to be added to its small motorized vehicle line for children. The new product is called the Kiddy Dozer. It will...

DATA MINING QUESTION: Suppose that we want to select between two prediction models M1 and M2. We have performed 10 rounds of 10-fold cross-validation on each model, where the same data partitioning...

Suppose that we want to select between two prediction models, M1 and M2. We have performed 10 rounds of 10-fold cross-validation on each model, where the same data partitioning in round i is used for...

Suppose that we want to select between two prediction models, M 1 M 1 and M 2 M 2 . We have performed 10 rounds of 10 -fold cross-validation on each model, where the same data partitioning in round i...

Suppose we have two predictive models, M_1 and M_2 and run 10 rounds of 10-fold cross-validation test using the two models. In each round, a training set and a testing set are determined based on the...

4. [10] Suppose we have two predictive models, M1 and M2 and run 10 rounds of 10-fold cross-validation test using the two models. In each round, a training set and a testing set are determined based...

Problem 4 (20 points) Suppose that we would like to select between two prediction models, M1 and M2. We have performed 10-fold cross validation on each model, where two different datasets are...

13. PLEASE HELP!!! Assignment Submission For this assignment, you submit answers by question parts. The number of submissions remaining for each question part only changes if you submit or change the...

Question : Summarize the methodologies in your own understanding? Methodology The study is exploratory in nature. The quantitative prediction method is used for the study. 3.1. Educational Datamining...

(a) Explain how a limit worth may be tended to at run-time, both in a syntaxtree middle person and in collected code. What is the importance word "settled" already? [3 marks] (b) Give a model program...

BE562: Problem Set 3 Fall 2016 Due 10/21/2016 8PM 1. Hidden Markov Models and Protein Structure (20 pts) One biological application of hidden Markov models is to determine the secondary structure...

During your audit of Penbrook, Co.s December 31, 2021 financial statements, your audit team identified the following findings. Indicate whether each finding would require an adjusting journal entry...

Change is a trait of life. In Today's business environment there's a lot of dynamic changes in Technology, Competition, markets, demands, customer expectations etc. Organizations should respond to...

Select from the following list the dis - advantages of virtualization.

Which one of the following banks has the highest and which one has the lowest EAR? And WHY? The smaller the compounding interval, the higher the EAR. Bank 1: Pays 10% APR with monthly compounding...

If the organization can offer a good quality of working life, can managers rely on that? Would that be enough to mitigate the work-related stress and trigger employee engagement in a sustainable way?

Does the work setting of the Agency (external, internal with/without the public) affect the perception of stress? Why/why not? Would it be possible to mitigate its effects in any possible way?

Do HRM managers also need to re-contextualize themselves in their role as HR managers? If so: How should they achieve semantic fit with multiple contexts in a multinational company or an...