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Latest Discussions

• What might be the most appropiate approach to modeling an ordinal response variable in a DoE ?

  Hi Community, I have a DoE with several response variables. One of those response variables is an ordinal one having levels: -3, -2, -1, 0, 1, 2 and 3. My questions is what might be the best or more pertinent way to model this response variable ? is it to model it as an ordinal variable using logistic regression ? or considering the variable as a continuous one and using traditional Ordinal least ...

  Julianveda

  Discussions |

  Aug 28, 2024 5:55 AM

  2051 views | 4 replies

• Training and Validation R2s in Lasso/Elastic net

  Dear all, I use k-fold cross-validation in combination with penalized regression models (lasso, elastic net) and want to examine the (averaged) R2 values of the training/validation sets to check for overfitting and explained variance. I already searched around with the many options, but I can not find that. Is there a way to show this? It would be great, if that could be shown in the overview tabl...

  MarkusJH

  Discussions |

  Aug 23, 2024 10:52 AM

  3101 views | 5 replies

• Nonlinear Fit SSE Grid Scripting Syntax

  I'm using JMP 17.2 and I can't find much information online with how to script an SSE Grid using the nonlinear tool under 'Specialized Modeling'. I can see from the scripting index the below, but I can't see how to set the min, max, and number of points programmatically via the scripts. Is someone able to explain the syntax that can be used with SSE Grid with an example of setting the parameter mi...

  ScrivensL

  Discussions |

  Aug 20, 2024 9:41 AM

  897 views | 1 replies

• Customization and Evaluation of Neural Networks in K-fold Cross-Validation in model screening platform

  I need to use neural network modeling for predicting variables and to avoid overfitting, I'm utilizing the K-fold cross-validation method. On the model screening platform, the neural network is fitted using boosting with three TanH functions. Is it possible to customize the neural network by using a different number and configuration than the platform’s default settings? I need to obtain the R-squ...

  Nimaxim

  Discussions |

  Aug 16, 2024 10:16 AM

  1093 views | 1 replies

• Is there a way to do k-fold cross validation with boosted tree?

  Is there a way to do k-fold cross validation with the boosted tree platform?While I understand this can be done in model screening, I need to hypertune with the k-fold that provides the maximum performance. So, instead of using model screening, is there a way to do k-fold cross validation with boosted tree predictive modeling where I can also hypertune other parameters? Thank you for taking the ti...

  NishaKumar2023

  Discussions |

  Aug 16, 2024 8:43 AM

  2094 views | 4 replies