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view all learning resourcesHere are the optimal conditions for the model comprised of 15 Box Behnken design runs with standard least squares. The optimal conditions for the model comprised of the same 15 Box Behnken design runs + 6 new runs, yield nearly the same optimal conditions with a slightly lower defect rate to fall within the spec limits. Could it be statistically justifiable to compare the optimal conditions of ...
HotellingGnu652
I have classification dataset on which I want to fit neural network and random forest model. I am performing the k-fold cross validation for selecting best model.I have separate data (fixed test data) on which I want to test the model performance. How can I pass that data to JMP and get classification report?
abhinavsharma91
I selected Boosted Tree or a regression problem after it came as the best-performing model in model screening. May I ask how to use the tuning table design to further optimize the performance of boosted tree?
AlphaPanda86751
Hello, I am using JMP 17 Pro for the multiple-group SEM. When I attempt to create and run the path analysis, I keep getting the error: Full Information Maximum Likelihood. Failed: Maximum Iterations Exceeded. Then under Model Comparison, there is a *Convergence FAILURE I have attempted to reduce the number of items loaded on my latent variables, and attempted combining latent variables. Is there ...
KDan
Here are the optimal conditions for the model comprised of 15 Box Behnken design runs with standard least squares. The optimal conditions for the model comprised of the same 15 Box Behnken design runs + 6 new runs, yield nearly the same optimal conditions with a slightly lower defect rate to fall within the spec limits. Could it be statistically justifiable to compare the optimal conditions of ...
HotellingGnu652
Hello, I am using JMP 17 Pro for the multiple-group SEM. When I attempt to create and run the path analysis, I keep getting the error: Full Information Maximum Likelihood. Failed: Maximum Iterations Exceeded. Then under Model Comparison, there is a *Convergence FAILURE I have attempted to reduce the number of items loaded on my latent variables, and attempted combining latent variables. Is there ...
KDan
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
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
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
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
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
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
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
Una introducción práctica para nuevos usuarios, usuarios con licencia de prueba o cualquier persona...
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French Mastering JMP Transformez des données brutes en informations exploitables grâce à l’éditeur d...
EMEA Mastering JMP Experimenting with microbial and mammalian systems brings a multitude of data; bi...
Barjas87