HIERARCHAL INDUCTIVE PROCESS MODELING AND ANALYSIS ...
HIERARCHAL INDUCTIVE PROCESS MODELING AND ANALYSIS ...
HIERARCHAL INDUCTIVE PROCESS MODELING AND ANALYSIS ...
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2.0 ●<br />
[D,N]<br />
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[D,F] 14<br />
[N,F]<br />
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1.5<br />
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1.0<br />
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0.5<br />
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67 Good Fit Models 190 Good Fit Models 128 Good Fit Models<br />
0.0<br />
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2.0 16<br />
1.5<br />
1.0<br />
0.5<br />
0.0<br />
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● ● 0 Good Fit Models<br />
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[P,D,N] ●<br />
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[P,Z,N]<br />
0 Good Fit Models<br />
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2.0 19<br />
[P,D,F] 20<br />
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1.5<br />
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1.0<br />
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0.5<br />
13 Good Fit Models 177 Good Fit Models<br />
0.0<br />
2.0 [Z,D,N] 22<br />
1.5<br />
1.0<br />
0.5<br />
0.0<br />
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0 Good Fit Models<br />
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0 Good Fit Models<br />
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17<br />
23<br />
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[P,Z,F]<br />
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0 Good Fit Models<br />
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[P,N,F] 21<br />
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15 Good Fit Models<br />
[Z,N,F]<br />
3 Good Fit Models<br />
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24<br />
0 200 400 600 800 1200<br />
0 200 400 600 800 1000<br />
0 200 400 600 800 1000<br />
Figure 5: reMSE value are ranked from lowest to highest. The reMSE = 0.5 signifies<br />
the good fit model cutoff, any models under that value are considered good fit models.<br />
The experimental setup for each run as well as the ID number is indicated in the<br />
top right corner.<br />
22