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Unformatted text preview: Use the algorithm below for the update function for all nodes, where j is the node number, and i is the row of the vector. 6. 7. Similarity they both attempt to minimize the sum of squared error when learning from data Difference neural networks can predict nonlinear models 8. ChiSquared= (126.4)^2/6.4+(49.6)^2/9.6+(24)^2/4+(86)^2/6+(47.6)^2/7.6+(1511.4)^2/11.4 9. x coordinate (percent false positives) = FP/ All Neg = 16/(65+16) = 19.75% y coordinate (percent true positives) = TP/All Pos = 82/(82+22)=78.85% Amount made =82 TP * 100 dollar reward = $8200 Cost of campaign = 15 dollars * 185 total people = $2775 Net profit = 8200 2775 = $5425...
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 Fall '09
 Merz

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