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Latest Discussions

• Significant Lack of Fit

  Hi All, I appreciate your time and response. I have built a model using main effects, interactions, and sometimes 2nd orders. I have used Standard Least Squares and 60% of the data. About 20% is used for validation and 20% for test sets.R2, adj R2, and those for validation and test sets are all about 98-99%. VIFs are all between 1 to 2.The only issue is I have a significant lack of fit.What can I ...

  Amir_H

  Discussions |

  Apr 13, 2021 1:38 PM

  4111 views | 4 replies

• How to use a validation column in normal JMP15 (not JMP Pro)

  Hi, I would like to build predictive models using Partition, Logistic Regression and Neural Networks for my categorical response Y (Pass or Fail) in JMP 15. I do not have the JMP Pro version. I was able to create a validation column containing Training, Validation and Test sets. How can I use the validation column in the normal version of JMP when building and evaluating the models? Partition and ...

  JMPPRO

  Discussions |

  Apr 11, 2021 10:51 AM

  3139 views | 3 replies

• deployment model

  Hito everybody.In attached 2 jmp files. The one named Training-validation-test was used to build a RF model with the following results.The file contains one numeric response and 20 different predictors with one of them categorical, The predictors are sensors values.     As you can see the Bias is very good while the variance is slightly high (92-69=23%).Then a new database with examples never seen...

  FR60

  Discussions |

  Apr 11, 2021 6:11 AM

  12219 views | 13 replies

• Missing Data and SVM

  I have started using the Support Vector Machines platform but it appears that predictions are missing for observations that are missing a continuous factor.  There is no informative missing setting for SVM, but the prediction formula shows that missing nominal data is used in the formula.  However, when a continuous factor is missing, then the prediction is missing (and the prediction formula does...

  dale_lehman

  Discussions |

  Apr 7, 2021 10:31 AM

  2507 views | 4 replies

• Why am I getting no K-fold validation for my linear regression? It only shows "."

  Doing a linear regression, and both in stepwise and in the final model output it only shows "." under K-fold cross-validation? Why? I recall seeing a K-fold # for my previous model, though I don't remember the exact section or screen. 

  chriscic42

  Discussions |

  Apr 5, 2021 5:36 AM

  1479 views | 1 replies