Remove the guesswork. Don't leave the future to chance.
- Build better and more useful models with modern predictive modeling techniques, such as regression, neural networks, and decision trees.
- Automatically fit multiple predictive models and determine the best-performing model with model screening.
- Avoid overfitting using cross-validation and K-fold cross-validation.
- Use machine learning methods without having to write code and tune algorithms.
Regression
- Multiple linear regression
- Logistic regression
- Generalized regression PRO
- Quantile regression PRO
- Penalized regression PRO
- Regularized regression PRO
- LASSO PRO
- Elastic net PRO
- Ridge PRO
Decision Trees
- Bootstrap forest PRO
- Boosted tree PRO
- Random forest PRO
- Gradient boosting PRO
- Partition
- Recursive partitioning
Other Predictive Models
- k-NN PRO
- Naïve Bayes PRO
- SVM PRO
- Discriminant
- Multiple linear regression
- Logistic regression
- Generalized regression PRO
- Quantile regression PRO
- Penalized regression PRO
- Regularized regression PRO
- LASSO PRO
- Elastic Net PRO
- Ridge PRO
- Bootstrap forest PRO
- Boosted tree PRO
- Random forest PRO
- Gradient boosting PRO
- Partition
- Recursive partitioning
Validation (Crossvalidation)
- K-fold validation PRO
- Data partitioning PRO
- Holdout PRO
- Holdback PRO
Model Selection
- Model screening PRO
- Model comparison PRO
- Confusion matrix
- Model averaging
- Ensemble
- Profit matrix
Model Deployment
- Scoring
- Scoring code
- Model management PRO
- Formula Depot PRO
- Prediction formula
Text Mining (Text Analysis)
- Latent class analysis
- Latent semantic analysis
- Sentiment analysis
- Term selection
With JMP, we can find the most effective way to slice up the data or show the results of a machine model without spending a lot of time making the program do something it wasn’t explicitly designed to do.
Greg Mattiussi
Senior Director of Manufacturing, Siemens Healthineers
Featured Resources
JMP® Analytic Capabilities
See everything that JMP® can do for you and your organization, from data access and cleaning, to exploration and visualization, all the way through sharing and communicating your results.
