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Error message for Neural Net With Missing Validation Rows - Suggest Workaround?

Hello community, I am testing several models as part of JSL loop in JMP 16, using different validation columns to determine how the R2 values change depending on what data is used. Each validation column contains a subset of the data, with some missing data at the beginning and/or the end of the column. Other models, such as the Bootstrap, run well simply ignoring missing values but the Neural N...
c_blanken

Discussions |
Feb 24, 2023 12:27 AM

1613 views | 2 replies
Weibull model for bacterial decay

I have been asked to do a linear regression using Weibull on jmp. It only seems to work for data with a positive curve (growth), however, when trying to select the Weibull for the decay data it cannot be selected. Is there a parameter I am missing or an assumption that doesn't allow me to use this model?
FSaggie

Discussions |
Feb 20, 2023 10:12 AM

6098 views | 10 replies
Multiple Comparison Intervals for Standard Deviation (Test for Equal Variance)

Attached is a sample from Minitab of Multiple comparison intervals for the standard deviation.So, it is a crossed factor test for equal variance.Does jmp have a similar function? Had been trying to do to Fit Y by X but it only separates it.
carlogarcia

Discussions |
Feb 20, 2023 6:02 AM

1919 views | 1 replies
CROSS VALIDATION - VALIDATION COLUMN METHOD

When using the validation column method for cross validation , we split the data set into training , validation and test sets. This split ratio is specified by the user. Is there any guideline /reference to decide on the split ratio (such as 60:20:20 / 70:15:15 / 50:25:25 / 80 :10:10). Is it chosen also based on the total number of observations -N ?
sreekumarp

Discussions |
Jan 11, 2023 5:31 AM

7373 views | 10 replies
One hold out cross validation

Hi, I want to do one hold-out cross-validation for the random forest, but I don't know if JMP pro has this option or not. If it has where can I find it?
tuo88138

Discussions |
Jan 4, 2023 4:06 AM

11616 views | 10 replies

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Latest Discussions

Error message for Neural Net With Missing Validation Rows - Suggest Workaround?

Hello community, I am testing several models as part of JSL loop in JMP 16, using different validation columns to determine how the R2 values change depending on what data is used. Each validation column contains a subset of the data, with some missing data at the beginning and/or the end of the column. Other models, such as the Bootstrap, run well simply ignoring missing values but the Neural N...
c_blanken

Discussions |
Feb 24, 2023 12:27 AM

1613 views | 2 replies
One hold out cross validation

Hi, I want to do one hold-out cross-validation for the random forest, but I don't know if JMP pro has this option or not. If it has where can I find it?
tuo88138

Discussions |
Jan 4, 2023 4:06 AM

11616 views | 10 replies
About ANOM for variances

Hi, I'm now studying the ANOM for variances. I don't understand why it needs at least three groups to start the comparison. Does anyone know the reason behind this? Thank you!
GabrielZ

Discussions |
Dec 28, 2022 11:28 AM

1321 views | 1 replies
data spliting

I want to feed data as three sets: train, validation, and test set to jmp. how can I do this? does jmp use test set? or just training and validation?
tuo88138

Discussions |
Dec 20, 2022 9:31 AM

2369 views | 4 replies
Entering a value issue

I'm working with a prediction formula for a class project, and I'm trying to type in the median # of people for January (for example), and JMP won't let me type in a value. I keep getting the "you're doing something wrong" windows sound, and nothing will type!
alexrauf

Discussions |
Dec 13, 2022 2:41 PM

1005 views | 1 replies

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XGBoost Add-In for JMP Pro no test set result in model screening

I'm using model screening and include XGBoost as a method. However the result from XGBoost are only shown in Train set and Validation set.Why the result of XGBoost for test set is not shown?
TasapornV

Discussions |
Aug 25, 2022 12:45 AM

831 views | 0 replies
JMP Pro, Dantzig selector: how do I improve computational time

Hello JMP community members. Concerning the use of the Dantzig selector on big and sparse datasets.I wondered what features would be at disposal to tune the computational time.Right now it takes about 40 minutes to get a result back for a problem with 380 rows and 149 non-singular parameters. This makes me wonder about the options available to tweak the computation time. I was thinking about redu...
Not_A_Student

Discussions |
Aug 12, 2022 7:49 AM

857 views | 0 replies
SUR (Seemingly Unrelated Regressions)

HI, How to find estimators of FGNLS and NLS (Seemingly Unrelated Regressions) Using JmpPro.# Note that it is present in SAS in the proc syslin
and it is in stat in the nlsur command Regards
Raaed

Discussions |
May 5, 2022 4:45 PM

931 views | 0 replies
Predictive Modeling Using JMP Pro is Scheduled!

The Predictive Modeling Using JMP Pro course is scheduled in the Live Web classroom 1:00 pm to 4:30 pm EDT, Monday-Thursday, 11-14APR2022. Learn how to build and understand predictive models such as generalized regression models, support vector machines, naive Bayes, decision trees, and neural networks. We'll also compare complex models and score new data in JMP. Click here for the course page and...
KathyKiraly

Discussions |
Nov 5, 2021 6:50 AM

835 views | 0 replies
What does it mean when the solution path for Elastic Net is not single-valued?

Dear JMP Community, (W10, 64-bit, JMP Pro 15.2.1) I am running a model to assess the active predictors. I am doing this by using the Autovalidation add-in to generate a Null Factor for my data. I then use the GenReg platform to find estimates for each possible X-factor and then Bootstrap those estimates to get a better assessment of the contributions to the response. I came across a very stran...
SDF1

Discussions |
Feb 15, 2021 12:35 PM

1443 views | 0 replies