Rapidminer 5.0 Video Tutorial #2 - Building a Gold Classification Trend Model Part 1

The second Rapidminer 5.0 tutorial. In this video we begin to recreate the original written NMT YALE/Rapidminer tutorials into version 5.0. This videos shows how to import training and prediction data, add a classification learner, and apply the model.

Category:

Science & Technology

Tags:

• Rapidminer
• data mining
• gold
• classification learner

[neuralmarkettrends1]

Yep, awfully close to a coin toss.

[JolienJM]

Thanks a lot for these videos! They are extremely helpful!

[Guevara76]

Hi Tom Thanks so much for your time, if you're ever in Dublin, give me a shout and be a pleasure to buy you a pint! keep up the great work.

[hnrylee]

@hnrylee 2 very important additions:

1- The video is still very helpful to get familiar with the software. Actually it is the most useful I could find.

2- I applied the same procedure in the video on the two benchmark classification sets I mentioned above with a neural net model with a single hidden layer consisting of 10 nodes, and the result? 100% accurate prediction.

I tried to apply the same (neural net approach) for the gold data sets but unfortunatelly they require a pre-processing for NNs

[hnrylee]

@DodoStek I doubt it. I applied the same procedure on the video on two different breast cancer datasets, and for prediction sets I got all target variables with the same label, just like in the video. No offense, but I suspect that there's something missing or simply wrong in this tutorial.

[DodoStek]

Apparantly the chances of the GC going up or down are not dependent on any of the predictor variables.

[MrSagarchinni]

thanks tom its a great help for a beginner like me



[magick93]

Thanks, really helpful and inspiring video.

[gtowfic]

Very helpful with important details! Thank you so much Tom. I will not miss a video :)

[masterinex]

hi..there.., awesome video. I was just wondering what do the roles ID and label mean when we classify the variables ?