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How to deal with data prediction with non-linear model?

Hi team,
Currently, I would like to perform prediction from X to Y where X and Y are non linear to each other
From image below, value in Y > 100 or X >550 consider as bad in reality. However, I do not know whether data outside the contour or lay on areas with question marks are consider as bad or good. I would like to ask some question:
1. Is there anyway to make prediction with data points laid on ...
PhamBao

Discussions |
Jun 24, 2025 8:24 AM

1418 views | 5 replies
Has the bootstrap forest changed in JMP Pro18?

I've used the bootstrap forest on many different data sets (both continuous and nominal response variables) for a number of years and I generally understand the settings for that algorithm - I usually use the defaults. My understanding of random(bootstrap) forests is that each tree is run using a random selection of factors and a random selection of observations (with replacement). In the past, ...
dlehman1

Discussions |
Jun 12, 2025 10:30 AM

2058 views | 7 replies
Advice on Boosted Tree Model and How to Export to Excel

Hello, I am working on a model for my work where the goal is they would be able to input parameters and then have a predicted final moisture at the end. I have a large amount of data to work with (about 4000 data points) so I was looking at using the boosted tree model. I have never used this function before and it auto filled to have 200 layers, 12 splits per tree, and learning rate of 0.121. I...
andrewdy04

Discussions |
Jun 10, 2025 1:15 AM

687 views | 2 replies
Do people ever use PLS on historical data for variable selection to find important variables as inputs for DOE?

I've seen several JMP webinars where they use Bootstrap forest to find the VIP variables, typically followed by Elastic net or Stepwise regression to further whittle down terms that might be important for future DOEs? I'm curious if anyone uses PLS regression in the process - maybe after Bootstrap forest, to further ID important or correlated variables before doing Elastic Net etc.., or does th...
mjz5448

Discussions |
Jun 3, 2025 1:21 PM

1428 views | 4 replies
Second Degree Polynomial Parameter Script

Hi All, I have a data set (x and y) that I need to approximate to the 2nd degree polynomial (ax2+bx+c) and report "a" value in the "a"-column. Is there a potential script for this? Please see JMP table attached. Thank you All!
Alex19

Discussions |
May 30, 2025 7:59 AM

637 views | 2 replies

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Latest Discussions

How to deal with data prediction with non-linear model?

Hi team,
Currently, I would like to perform prediction from X to Y where X and Y are non linear to each other
From image below, value in Y > 100 or X >550 consider as bad in reality. However, I do not know whether data outside the contour or lay on areas with question marks are consider as bad or good. I would like to ask some question:
1. Is there anyway to make prediction with data points laid on ...
PhamBao

Discussions |
Jun 24, 2025 8:24 AM

1418 views | 5 replies
Advice on Boosted Tree Model and How to Export to Excel

Hello, I am working on a model for my work where the goal is they would be able to input parameters and then have a predicted final moisture at the end. I have a large amount of data to work with (about 4000 data points) so I was looking at using the boosted tree model. I have never used this function before and it auto filled to have 200 layers, 12 splits per tree, and learning rate of 0.121. I...
andrewdy04

Discussions |
Jun 10, 2025 1:15 AM

687 views | 2 replies
Second Degree Polynomial Parameter Script

Hi All, I have a data set (x and y) that I need to approximate to the 2nd degree polynomial (ax2+bx+c) and report "a" value in the "a"-column. Is there a potential script for this? Please see JMP table attached. Thank you All!
Alex19

Discussions |
May 30, 2025 7:59 AM

637 views | 2 replies
Multicolliniarity issue in a Cox Proportional Hazard Model

Hi Everybody, I need help to understand and address the following issue. I'm building a model to predict the development of cardiovascular disease in a cohort. I’ve included two variables that are correlated with each other (R² = 0.83). When I include both in the model, one of them flips direction—it becomes protective instead of a risk factor. But when I include each variable separately, both...
RafaelZS

Discussions |
May 23, 2025 2:39 AM

659 views | 1 replies
Nonlinear fit using loss function with penalty

HI All, I need to do a nonlinear fit imposing a constraint equation to the parameters besides the range bounds. To do that, I am using the nonlinear platform defining the loss function with penalty. I wrote the model formula in a column where I defined the fitting parameters and in an other column I defined the loss function I am trying to use. Below I report a description of the loss function:...
LucaC

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May 16, 2025 11:04 AM

732 views | 2 replies

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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

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

Discussions |
Oct 2, 2024 5:15 PM

705 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

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

Discussions |
Sep 4, 2024 1:57 AM

1037 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

Discussions |
Jul 2, 2024 5:42 AM

645 views | 0 replies