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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

  • Log RMSE to linear RMSE

    Hi all,   I am trying to compare the RMSE values of a linear fit and log fit model. However, to my understanding the RMSE for the linear fit is in the same units as the response (for instance MPG), but the log fit has log MPG as unit. Is there a possibility within JMP that allows the calculation of RMSE in the original scale?   Kind regards, Janneman

    Janneman Janneman
    Discussions |
    Sep 9, 2025 2:17 AM
    853 views | 2 replies

  • Missing values after PCA

    What are the missing values (black dots) after you perform a PCA?  

    Beginner_9 Beginner_9
    Discussions |
    Sep 6, 2025 6:07 AM
    996 views | 3 replies

  • XGboost training, validation and testing

    Hello, I have a question about handling test datasets in XGBoost. Here's my current approach: I'm using 10-fold cross-validation for model training and validationI keep a separate test dataset completely excluded during this training phase (hide and exclude in the table before launching the model)After training, I manually generate predictions on this test dataset (save predicted to table and I un...

    Sburel Sburel
    Discussions |
    Sep 5, 2025 6:29 AM
    1691 views | 2 replies

  • Simulate vs Bootstrap methods in JMP: which to use when and why

    Hi All,   I'm hoping someone from JMP might be able to provide an explanation as the the differences/similarities of the Simulate vs Bootstrap approaches when evaluating model estimates. (JMP Pro)   Some links to previous Discovery Summit presentations from Gotwalt and others can be found here, here, and here. One clear difference between the methods is that Simulate requires you to swap out a col...

    SDF1 SDF1
    Discussions |
    Sep 5, 2025 6:28 AM
    7558 views | 11 replies

  • Statstical Performance of XGBoost in Model screening Test set

    Hello, I am using Model screening and Nested cross validation to compare several ML models for the classification of a disease. XGBoost is performing the best across Test folds for ROC- AUC and Misclassification rate. But when I want to look in more detail to other statistics by performing Decision Threshold analysis I get all performances (F1-scores, MCC, Sens, Spec? etc..) for all other models b...

    Lu Lu
    Discussions |
    Aug 27, 2025 5:17 AM
    632 views | 3 replies

Latest Discussions

  • XGboost training, validation and testing

    Hello, I have a question about handling test datasets in XGBoost. Here's my current approach: I'm using 10-fold cross-validation for model training and validationI keep a separate test dataset completely excluded during this training phase (hide and exclude in the table before launching the model)After training, I manually generate predictions on this test dataset (save predicted to table and I un...

    Sburel Sburel
    Discussions |
    Sep 5, 2025 6:29 AM
    1691 views | 2 replies

  • Simulate vs Bootstrap methods in JMP: which to use when and why

    Hi All,   I'm hoping someone from JMP might be able to provide an explanation as the the differences/similarities of the Simulate vs Bootstrap approaches when evaluating model estimates. (JMP Pro)   Some links to previous Discovery Summit presentations from Gotwalt and others can be found here, here, and here. One clear difference between the methods is that Simulate requires you to swap out a col...

    SDF1 SDF1
    Discussions |
    Sep 5, 2025 6:28 AM
    7558 views | 11 replies

  • Confidence intervals on profiler using expanded formula

    I used the Fit Curve platform to fit Gaussian curves to some viscosity vs salt% data obtained for a range of different formulations. I saved the parameter estimates for Peak Value, Critical Point and Growth Rate to my data table. Following this, I used linear regression to predict the three Gaussian peak parameters using formulation composition as predictors. I saved the prediction formulae and SE...

    CentroidError56 CentroidError56
    Discussions |
    Jul 11, 2025 1:25 AM
    671 views | 5 replies

  • How does JMP do BoxCox transformations?

    I have recently been converting JMP formulas into Excel using the python code option. I have been unable to actually transfer any formula (MLR) involving a BoxCox transformation. It have manually done the calculations following the formula and have gone numbers in the multimillions instead of 100 thousands where it should be. If someone knows if the formula is already converted back or If I need t...

    DWS DWS
    Discussions |
    Jul 3, 2025 1:37 AM
    4642 views | 23 replies

  • Predictor screening always showing up as 0 contribution?

    All variables all showing up as 0 contribution. Whether in put 6 or 20 columns into the X variable selection, it always comes out as 0. I’m using a data point for everyday for the past ~5 years. Is there a specific reason why this is happening?

    ExpectedHyena69 ExpectedHyena69
    Discussions |
    Jul 2, 2025 4:37 PM
    585 views | 2 replies

Latest Discussions

  • Sample size for Reliability Life Test

    I have used the interval explorer for parametric reliability life test planning for sample size calculation of accelerated life test. Please can someone confirm if the sample size returned is the total sample size or sample size per stress levels? Assuming I have 3 temperature levels, do I use 75 samples per temperature level or 25?

    EngrAkin EngrAkin
    Discussions |
    Dec 11, 2024 7:11 AM
    687 views | 0 replies

  • Could JMP show in a single graph a sensitivity analysis and the probability of occurrence of a result?

    Hello Community!Attached is the script "Hogi chart calculates risk and probability", an excellent work by HOGI ... which calculates the risks and probabilities of occurrence of an input or multiple inputs (x), of an output or multiple outputs (Y) or their combination in a table. For example:Would it be possible to expand the capacity of the script to make a sensitivity analysis of the inputs (x) o...

    Marco2024 Marco2024
    Discussions |
    Oct 2, 2024 5:15 PM
    702 views | 0 replies

  • Multinomial Logistic Regression Confidence for Specific Parameter Changes

    Hi,  I have a multinomial logistic regression of 3 classes: 0, 1, and 2 and have associated individual models (via Fit Y by X) for N parameters. I am now looking into a sensitivity like study in which each parameter is assumed at certain levels (e.g. at min, max etc..). I have probabilities computed at each such parameter level. I like to rank order probability change in each class (0, 1 and 2) du...

    altug_bayram altug_bayram
    Discussions |
    Sep 5, 2024 9:02 AM
    805 views | 0 replies

  • Building and validating zero-inflated negative binomial regression models

    Dear JMP community,I am presented with a problem of building a model using over-dispersed zero-inflated count data. I hope you can help me with this.I have attached both training and validation datasets to this post. My objective is to build my model on the training dataset and validate it using the validation dataset. I have not worked with such count data before and therefore do not know validat...

    stat_ranger stat_ranger
    Discussions |
    Sep 4, 2024 1:57 AM
    1036 views | 0 replies

  • Hyperparameters and neural network architecture

    Hello,I'm trying to reproduce the results obtained on JMP with the "Neural" model by adding nested cross-validation, which is not possible on the software. However, the architecture is very unclear and I can't understand the calculations performed by the model. I don't have access to certain information such as batch size, optimizer used, loss, learning rate (except the one for the boosting), and ...

    Grizzly Grizzly
    Discussions |
    Jul 2, 2024 5:42 AM
    645 views | 0 replies
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