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#1
10-28-08, 01:46 PM
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Hi guys,
I'd like to apply the logistic model manually, by the coefficients generated by neural network (hidden node 0) using the sigmoid function. But the probality calculated with coefficients doesn't match with the probability calculated by Mining. Following is the process that I've been using: 1.Run logistic regression 2.Get the coefficients from node_type 23 3.Calculate a = c1x1 + c2x2 + c3x3 + c0 (c = coefficients / x = attributes) 4.Finally apply "a" in the sigmoid fuction to get the probability of each case in a dataset 5.Check if the probalities matches with probabilities generated by Mining. So does someone have any idea how to fix this problem? best |
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#2
11-03-08, 07:14 PM
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Does this help?
http://www.bogdancrivat.net/dm/archives/36 |
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Applying logistic model coefficients