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I've got a paper due in 2 days and i got stuck with 1 question

nadavb1983nadavb1983 Member Posts: 3 Newbie
as the title says, any chance any1 can help?

Use the process Credit_Risk_Modeling_Course.rmp.
Read the data-set: Credit_Risk_Modelling.csv
Run the process.
a. (2%) How are the train and test divided in this process?
b. (4%) The “Improved Neural Net” is one of the outputs. Explain the graph
by applying the explanation from class (3-4 sentences.)
c. (4%) Compare the confusion matrices in the results using the recall and
performance rates. (3-4 sentences.)
For your own knowledge - review the output with the LR coefficients.
d. (10%) Explain the table NN – Opt before making changes.
Then, add another optimization parameter for the NN optimization (see
the tutorial slides), such that there will be 20 rows in the new NN-Opt
table. Make the optimized NN model win in the confusion matrix
comparison. Explain.
e. (12%) Add another model from a different family from the following: KNN,
DT, RF.
i. (6%) Add the model as a separate model in a similar manner of
“NN-CV-No Opt” (you can copy-paste and edit the actual model
that is used inside the CV. It is recommend to also rename the
varied modules.)
Analyze the results.
ii. (6%) Use the Optimization model. Add the model of your choice to
the current two competing models.

Answers

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    sgenzersgenzer Administrator, Moderator, Employee, RapidMiner Certified Analyst, Community Manager, Member, University Professor, PM Moderator Posts: 2,959 Community Manager
    hi @nadavb1983 - I'm sorry but this community is not a place to post homework questions. I work with university professors around the world to ensure that this community adheres to the best practices of academic honesty. If you have specific questions on how to use or apply RapidMiner, you are very welcome to post. 

    Respectfully,

    Scott

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    lionelderkrikorlionelderkrikor Moderator, RapidMiner Certified Analyst, Member Posts: 1,195 Unicorn
    Hi @nadavb1983,

    I encourage you to take a look at the training videos of RapidMiner (click on the "Find Helpful Videos" button on the main page of this community site).
    I think you can find some elements of answers to your questions.

    Regards,

    Lionel
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