Predictive Modeling and Machine Learning
Remove the guesswork. Don't leave the future to chance.
- Build better models with modern predictive modeling techniques, like 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.
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
Regression
- Multiple linear regression
- Logistic regression
- Generalized regression
- Quantile regression
- Penalized regression
- Regularized regression
- LASSO
- Elastic net
- Ridge
Decision trees
- Bootstrap forest
- Boosted tree
- Random forest
- Gradient boosting
- Partition
- Recursive partitioning
Other predictive models
- k-NN
- Naïve Bayes
- SVM
- Discriminant
- Multiple linear regression
- Logistic regression
- Generalized regression
- Quantile regression
- Penalized regression
- Regularized regression
- LASSO
- Elastic net
- Ridge
- Bootstrap forest
- Boosted tree
- Random forest
- Gradient boosting
- Partition
- Recursive partitioning
Validation (cross validation)
- K-fold validation
- Data partitioning
- Holdout
- Holdback
Model selection
- Model screening
- Model comparison
- Confusion matrix
- Model averaging
- Ensemble
- Profit matrix
Model deployment
- Scoring
- Scoring code
- Model management
- Formula Depot
- Prediction formula
Text mining (text analysis)
- Latent class analysis
- Latent semantic analysis
- Sentiment analysis
- Term selection
- Text regression
The best discoveries start with JMP
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.
