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Latest Discussions

• building multiple neural network models

  I am using the neural platform to make predictions, and, being new to neural networking, I am only slightly familiar with all the input parameters: number of hidden layers, number of nodes/hidden layer, boosting models, learning rate, and tours. What I want to do is try to minimize RMSE and the validation model misclassification rate. What I've been doing is iteratively changing each parameter one...

  abmayfield

  Discussions |

  Oct 25, 2021 2:16 PM

  27920 views | 60 replies

• Bootstrap visualization

  I would like to illustrate the concepts behind bootstrap for model fitting. The following post shows excellent exampleshttps://community.jmp.com/t5/JMP-Blog/Visualizing-the-variability-of-a-curve-using-bootstrapping/ba-p/30219 Can we reproduce these visualizations without scripting in JMP 16? I know JMP Pro can bootstrap table parameters, but if I wanted to visualize the predictions of several par...

  FN

  Discussions |

  Oct 25, 2021 6:14 AM

  1359 views | 1 replies

• How do I compare differences between LS-means

  Is there a way to compare the differences between the LS-means of several groups? In other words, how can I detect differences between the differences in different groups? If I run a linear model on my original data, I can use multiple comparisons to get the difference between the LS-mean of each group and the standard errors of those differences. Can I go a step further and do another test to see...

  jeekhoff

  Discussions |

  Oct 18, 2021 10:17 AM

  2747 views | 2 replies

• Prediction screening

  Listened with great interest to the lecture on predictive models, and the suggestion to saved the Prediction formula to the dataset then re-run the Prediction screening with initial variables as X and adding the prediction formulas as new X's.     Today I discussed with a colleague, and his reaction was “ talking about over-fitting the models!" Will this approach over-fit models even more (even if...

  ChristerMalm

  Discussions |

  Oct 10, 2021 2:18 PM

  3720 views | 7 replies

• Combining models

  If I learned one thing from Discovery Summit Americas this year, it was how common it is to average and/or create ensemble models, something I had heard about but never considered (being a modeling novice). So I decided to do it. Making an ensemble model is easy; I saved the model as a prediction formula and simply included that as a predictor in the next round of model screening (using JMP Pro 16...

  abmayfield

  Discussions |

  Oct 8, 2021 9:56 AM

  2187 views | 3 replies