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Latest Discussions

• help with model comparsion: DOE vs ANN boosted

  Good morning guys! 1) I have a DOE and some boosted neural network models that I would like to compare their respective Rsquared (largest), RASE (smallest) and AAE (smallest) to select the best optimized models from my experiments. I saw that in the "Model Comparison" tool, through the predictive formulas saved in the experiment spreadsheet, I can make the selection according to the criteria above...

  ivanpicchi

  Discussions |

  Jan 22, 2024 3:24 AM

  3485 views | 5 replies

• Working with Imputed Data in JMP - Elastic Net

  Hi Everyone,
  
  I am working with a dataset that went through multiple imputation in stata. I am trying to do elastic net regression on the data set in JMP because Stata does not seem to support elastic net in it's multiple imputation estimate command. 
  
  I was wondering, does JMP have any way of identifying the data as MI data, or does it even matter? The mi estimate command in stata conducts a combined...

  HelplessAtStats

  Discussions |

  Jan 19, 2024 3:01 AM

  2684 views | 4 replies

• Undersampling, Oversampling, and weighing

  How can I populate my data so I only get undersampling sampling technique without modeling. I need to do the same for oversampling and weighing. I am trying to run xgboost with these three sampling techniques (one at a time of course). So, I need one dataset that shows undersampling, a different dataset for oversampling, and a third dataset for weighing. Thank you.

  NishaKumar

  Discussions |

  Jan 17, 2024 7:30 AM

  2302 views | 2 replies

• Add Random Seed to prediction formula

  I would like make a reproducible simulation formula by adding a the same random number to a prediction formula .Guess this is possible with Random seed? I olnly find a very brief explanation in JMP help; how to add this random seed to a formula? 

  frankderuyck

  Discussions |

  Jan 10, 2024 1:01 AM

  7441 views | 13 replies

• Difference between nodes in same layer of neural network?

  I am currently in the process of wrapping up the final practices of 7.3 Neural Networks in the Predictive Modeling and Text Mining module in the JMP STIPS course. Fitting a neural network and understanding the basic function of a node in the hidden layer as a regression model appears intuitively easy. Yet, I am wondering whether and hoping that someone with more insight in the community could prov...

  Ressel

  Discussions |

  Jan 2, 2024 5:38 AM

  2205 views | 2 replies