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  • JMP will suspend normal business operations for our Winter Holiday beginning on Wednesday, Dec. 24, 2025, at 5:00 p.m. ET (2:00 p.m. ET for JMP Accounts Receivable).
    Regular business hours will resume at 9:00 a.m. EST on Friday, Jan. 2, 2026.
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Learning Resources

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Latest Discussions

  • confusion matrix and performance meassures

    At present in JMPpro, the only performance meassure automatic calculated from the confusion matrix from a model is the misclassification rate and eventually the AUC of the ROC. Other meassures such as Fase positive and  False negative rates, sensitivity , specificity, negative and positive predictive value, precision/recall (= F1-score) and MCC are commonly described in ML literature and are very ...

    Lu Lu
    Discussions |
    Aug 22, 2020 9:55 AM
    3547 views | 1 replies

  • Variable selection and Bootstrap Forest

    Hello,I performed a Bootstrap forest analysis wirth a categorical ouctcome with 230 features, many of them are highly correlated. There is a hughe difference in performance  between my training (AUC 0.98) and validation set (0.68). Since the data are highly dimensional and many of the variables are correlated variable reduction is needed. Can I use GenReg with Lasso or other penalized techniques f...

    Lu Lu
    Discussions |
    Aug 15, 2020 6:42 AM
    3837 views | 5 replies

  • how can I get prediction profiler output estimation in a script?

    Hi all,I have an experiment with many outputs, and I want to get the values given by the prediction formula in a script to send them to a data table. Anybody know how to do that? Thanks,Jose Angel 

    j_angel_ramos_m j_angel_ramos_m
    Discussions |
    Aug 14, 2020 6:58 AM
    4101 views | 3 replies

  • Models with weight

    Hi I'm trying to find a correlation between some X predictors and a continuous response variable strongly skewed on the right. The database contains 140 instances only. First of all I transformed the response variable by using the function lnx+1. Then I normalized all the x in the range 0 and 1, reduced the dimensionality with the screening option and then removed the correlated predictors X. At t...

    FR60 FR60
    Discussions |
    Aug 9, 2020 2:10 PM
    2737 views | 3 replies

  • How to do 2-stage least squares (2SLS) / Instrumental Variable regression / Heckman self-selection model

    Hi there, Is it possible to do a two-stage least squares model or IV regression or Heckman self-selection model in JMP? Is it also possible to get the inverse Mills ratio? Thanks in advance! 

    Heckman123 Heckman123
    Discussions |
    Aug 7, 2020 6:59 AM
    2589 views | 1 replies

Latest Discussions

  • confusion matrix and performance meassures

    At present in JMPpro, the only performance meassure automatic calculated from the confusion matrix from a model is the misclassification rate and eventually the AUC of the ROC. Other meassures such as Fase positive and  False negative rates, sensitivity , specificity, negative and positive predictive value, precision/recall (= F1-score) and MCC are commonly described in ML literature and are very ...

    Lu Lu
    Discussions |
    Aug 22, 2020 9:55 AM
    3547 views | 1 replies

  • Models with weight

    Hi I'm trying to find a correlation between some X predictors and a continuous response variable strongly skewed on the right. The database contains 140 instances only. First of all I transformed the response variable by using the function lnx+1. Then I normalized all the x in the range 0 and 1, reduced the dimensionality with the screening option and then removed the correlated predictors X. At t...

    FR60 FR60
    Discussions |
    Aug 9, 2020 2:10 PM
    2737 views | 3 replies

  • How to do 2-stage least squares (2SLS) / Instrumental Variable regression / Heckman self-selection model

    Hi there, Is it possible to do a two-stage least squares model or IV regression or Heckman self-selection model in JMP? Is it also possible to get the inverse Mills ratio? Thanks in advance! 

    Heckman123 Heckman123
    Discussions |
    Aug 7, 2020 6:59 AM
    2589 views | 1 replies

  • Standard betas for logistic regression

    I would like to compare strength of effect in my logistic regression model.  In least squares models I can bring up and compare standardized beta coefficients.  Can this be done with logistic models?  (I don't see the option in "columns" option).  Or, is there another method to compare the strength of effect of each of my terms in the model? ThanksFishguy

    fishguy fishguy
    Discussions |
    Jul 28, 2020 8:27 AM
    4787 views | 4 replies

  • How do I fix base level for indicator function parameterization

    If my data has 1's and 0's in a column for a X and I am running a regression of Y on X,  how can I force JMP to select one of those as baseline values (instead of JMP picking it based on its internal rule) in creating indicator function parameterization? Thanks

    goutam goutam
    Discussions |
    Jul 21, 2020 7:53 AM
    1572 views | 1 replies

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