Research map / Learning theory and algorithms / Prediction and decision losses
Compiling Bayesian Network Classifiers into Decision Graphs
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| increase largest feature block size (emdec6g 27 to 30 features) | BN-to-ODD compilation · emdec6g | compile time (s): 11 -> 2,487 | Hurt |
| increase largest feature block only slightly (emdec6g 30 to 33 features) | BN-to-ODD compilation · emdec6g | compile time (s): 2,487 -> 5,308 | Hurt |
| use a balanced classification threshold instead of a heavily biased one | BN-to-ODD compilation · Bayesian network classifiers | ODD size and compile time | Hurt |
| compile via block ordering and equivalence intervals instead of full decision tree | BN-to-ODD compilation · Andes VKE | ODD size vs bound | Helped |
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