Hi,

What was the response variable and classes, in the classification scenario?

Regards,
Supun

On Mon, Sep 19, 2016 at 2:19 PM, Roshan Alwis <rosh...@wso2.com> wrote:

> Hi all,
>
> I am an intern who is currently working on the project "Use machine
> learning for predictive maintenance", which is a use case of IOT. I have
> been working with the "Turbofan Engine Degradation Simulation Data Set"
> published by NASA as my core data set. The goal of this experiment is to
> predict the remaining useful lifetime of turbofan engines based on their
> sensor readings. I have built both classification and regression models for
> this scenario.
>
> Link to the data set.
> https://ti.arc.nasa.gov/tech/dash/pcoe/prognostic-data-
> repository/#turbofan.
>
> The algorithms that I have used and their test results are,
> *Random Forest Classification* [Classification]
> Result : https://docs.google.com/a/wso2.com/document/d/
> 1EiPbEA5cq4823qTB5TAq80ItywzQwPdo8dn9iSQig4s/edit?usp=sharing
>
> *Random Forest Regression* [Regression]
> Result : https://docs.google.com/a/wso2.com/document/d/
> 1HKW84QyJyAwK6WchRpGwmXVwDRdTEIAmdD1Bz5hVxjs/edit?usp=sharing
>
> *H2O Deep Learning* [Regression]
> Result : https://docs.google.com/a/wso2.com/document/d/
> 1SncvDlVsxsSfUIj11rAwWQWWU6uWW41pPSJ92iHuV-c/edit?usp=sharing
>
> *These results are only valid for following data sets,*
> Training   : train_FD001.txt
> Testing    : test_FD001.txt
> Validating : RUL_FD001.txt
>
> If you have any suggestions for improvements, please let me know. For
> further information, contact through the email.
>
> Best Regards,
> --
> Roshan Alwis
> *Trainee Software Engineer*
> *WSO2*
> m: 0715894672
> a: No 3/56, Aluthgama Rd, Elpitiya.
> e: rosh...@wso2.com
> <https://web.facebook.com/alwisroshan>   <https://twitter.com/rm_alwis>
> <https://lk.linkedin.com/in/roshanalwis>
>
>
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>
>


-- 
*Supun Sethunga*
Senior Software Engineer
WSO2, Inc.
http://wso2.com/
lean | enterprise | middleware
Mobile : +94 716546324
Blog: http://supunsetunga.blogspot.com
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