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Automodel meanAbsolute rootMeanSquared error and other missing algorithms

ozcanozcan Member Posts: 7 Contributor II
edited February 2020 in Help
Hi,
1) Im trying to find meanAbsolute rootMeanSquared error in Automodel results. But these values are not available in auto model results ?
2) Part, Bayesian Network Algorithm are available in rapidminer ? like weka.
3) Boosting, bagging, KNN Algorithm are available in auto model ?
4) What is deep learning below neural nets folder ? Is it multilayer perceptron ? If it is not, Is there a multilayer perceptron in Rapidminer? 

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    MartinLiebigMartinLiebig Administrator, Moderator, Employee, RapidMiner Certified Analyst, RapidMiner Certified Expert, University Professor Posts: 3,520 RM Data Scientist
    Solution Accepted
    Hi @ozcan,

    yes, absolute error is the mean of all absolute errors in your predictions.

    Best,
    Martin
    - Sr. Director Data Solutions, Altair RapidMiner -
    Dortmund, Germany

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    ozcanozcan Member Posts: 7 Contributor II
    Thanks for reply, really helpful . One more question , Im trying to find mean absolute error. There is a absolute error in performance results .I didnt see mean absolute error in performance metric. Can I evaluate absolute error as mean absolute error?
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