Previously, comparing a Random Forest to a Neural Network involved manually opening multiple reports. JMP 17 Pro introduces the platform (enhanced for Pro). This single dashboard aggregates fit statistics (RMSE, AICc, R-Square), lift curves, and ROC curves for every model you build. The "Redo Analysis" button now allows you to instantly refresh all models when source data changes, ensuring your comparisons are always current.
: Support for plotting multiple responses and displaying tabular data (like reference lines and statistics) directly within graphs. Data Preparation jmp 17 pro
For products where failure is rare or takes a long time to occur, degradation analysis is key. JMP 17 Pro expands its capabilities here, allowing for the analysis of destructive degradation data. This enables users to predict failure times based on the deterioration of product characteristics (e.g., battery capacity loss) rather than waiting for a binary failure event. Previously, comparing a Random Forest to a Neural