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EM6.1 EM6.2 difference?

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EM6.1 EM6.2 difference?

I'm trying to train myself on Enterprise Miner by working through the examples in the getting started with 6.1 tutorial, using the Charitable Donations dataset. I followed the examples carefully and almost everything works out the same as in the tutorial, with the exception of the Score Rankings Overlay graphs, for which my plots of cumulative total expected profit are linear (with the training partition having greater slope). Is this a result of some difference in the way that EM6.1 and 6.2 deal with decision weights? Did I make a misstep somewhere? Any suggestions for tracking this down?

Many thanks!
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Posts: 8

EM6.1 EM6.2 difference?

Well, the cumulative expected profit should not be a linear curve given the Profit/Loss matrix defined in the example (where profit and loss are constant for every case). In fact, in such constant profit/loss cases, the expected profit of a single case has a linear relationship with the predicted probability; therefore accumulating its value over the top score cases will give a non-linear relationship with the predicted probability, which will most likely also generate a non-linear relationship with the predicted probability quantiles (as the quantiles are the ones used on the horizontal axis of the graph).

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