plotconfusion(Y', yEst)
I get different results from when I do this to set the decision boundary at 0.5 (which is what the confusion() function documentation claims is the boundary used, although I'm not sure if that's what plotconfusion uses).
plotconfusion(Y', double(yEst > 0.5))
John Michell answered . 2024-05-17 20:48:13
close all, clear all, clc [ x t ] = cancer_dataset; [ I N ] = size(x) %[ 9 699 ] [ O N ] = size(t) %[ 2 699 ] vart = mean(var(t',1)) % 0.2259 t1 = t(1,:); t2 = t(2,:); N1 = sum(t1), N2 = sum(t2) % 458, 241 m1 = mean(t1), m2 = mean(t2) % 0.6552, 0.3448 vart1 = var(t1,1), vart2 = var(t2,1)% 0.2259, 0.2259 net = patternnet(10); rng(0) [net tr y e ] = train(net,x,t); % y = net(x); e = t - y; NMSE = mse(e)/vart % 0.0984 % NOTE: Although regression error ~ 10%) % classifcation error will only be ~ 3% [c,cm,ind,per] = confusion(t,y) % cm = 446 12 ( 12/458 = 0.0262 ) % 8 233 ( 8/241 = 0.0332 ) % c = 0.0286 ( 20/699 = 0.0286 ) % ( 8/454 = 0.0176 , 12/245 = 0.0490 ) % per = 0.0490 0.0176 0.9824 0.9510 % 0.0176 0.0490 0.9510 0.9824
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