Bootstrap Forest and Boosted Tree Evaluated Probabilities changes upon re-evaluation
Mar 27, 2019 6:08 PM(1033 views)
I have been trying out predicitve modeling in JMP Pro to be able to classify observations based on historical data, i am aware that the model boosted tree and bootstrap forest results are always different if seed is not set . but once the model has been trained , and the formula has been generated , the results should not differ for the same set of input right?
I trained various different types of model(eg. nominal logistic , ridge regression ... etc) aside from boosted tree and bootstrap forest , saved formula into the dataset, save the dataset with the formula in it and closed it. when i opened it up a few days later i decided to run this script to re-evaluate the formulas
dt1 = Current Data Table();
dt1 << ReRun Formulas;
I saw that the evaluated probabilities changed just for bootstrap forest and boosted tree and not for the other models. is this normal? or its a bug.