1.

2.

Select Analyze > Predictive Modeling > Partition.

3.

4.

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For JMP, enter 0.3 as the Validation Proportion.

6.

Click OK.

7.

9.

Click the red triangle next to Partition for Severity and select Specify Profit Matrix.

11.

Click OK.

12.

Click the red triangle next to Partition for Severity and select Show Fit Details.

13.

Click the red triangle next to Partition for Severity and select Save Columns > Save Prediction Formula.

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The first three columns involve only the predicted probabilities. The confusion matrix counts are based on the Most Likely Severity column, which classifies a patient into the level with the highest predicted probability. These probabilities are given in the Prob(Severity == High) and Prob(Severity == Low) columns.

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The last five columns involve the profit matrix weighting. The column called Most Profitable Prediction for Severity contains the decision based on the profit matrix. The decision for a patient is the level that results in the largest profit. The profits are given in the Profit for High and Profit for Low columns.
