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Table 2.
Average test set log likelihoods for structured learning methods on hybrid data sets.
Data setWMI-SPNGower-RDC-ABDABSPN
LearnWMISPN (bin size)histisohistiso--
anneal-U −14.54 (2) −63.55 −38.83 −60.31 −38.31 −2.65 −16.44 
australian −10.47 (2) −18.51 −30.37 17.89 −31.02 −17.70 −21.51 
auto −27.12 (2) −72.99 −69.40 −73.37 −70.06 −70.62 −58.45 
car −9.11 (2) −30.46 −31.08 −29.13 −30.51 −35.04 −28.73 
cleave −13.82 (2) −26.13 −25.86 −29.13 −25.44 −22.60 −22.95 
crx −10.52 (2) −22.42 −31.62 −24.03 −31.72 −15.53 −11.54 
diabetes −6.29 (2) −15.28 −26.96 −15.93 −27.24 −17.48 −21.21 
german −20.42 (2) −40.82 −26.85 −38.82 −32.36 −32.10 −26.76 
german-org −21.14 (2) −43.61 −26.85 −37.45 −27.29 −26.29 −21.32 
heart −14.87 (2) −20.69 −26.99 −20.37 −25.90 −23.39 −22.93 
iris −3.56 (3) −3.61 −2.89 −3.44 −2.84 −2.96 −3.54 
Data setWMI-SPNGower-RDC-ABDABSPN
LearnWMISPN (bin size)histisohistiso--
anneal-U −14.54 (2) −63.55 −38.83 −60.31 −38.31 −2.65 −16.44 
australian −10.47 (2) −18.51 −30.37 17.89 −31.02 −17.70 −21.51 
auto −27.12 (2) −72.99 −69.40 −73.37 −70.06 −70.62 −58.45 
car −9.11 (2) −30.46 −31.08 −29.13 −30.51 −35.04 −28.73 
cleave −13.82 (2) −26.13 −25.86 −29.13 −25.44 −22.60 −22.95 
crx −10.52 (2) −22.42 −31.62 −24.03 −31.72 −15.53 −11.54 
diabetes −6.29 (2) −15.28 −26.96 −15.93 −27.24 −17.48 −21.21 
german −20.42 (2) −40.82 −26.85 −38.82 −32.36 −32.10 −26.76 
german-org −21.14 (2) −43.61 −26.85 −37.45 −27.29 −26.29 −21.32 
heart −14.87 (2) −20.69 −26.99 −20.37 −25.90 −23.39 −22.93 
iris −3.56 (3) −3.61 −2.89 −3.44 −2.84 −2.96 −3.54 

Note: The bin size is given for the WMISPN log likelihoods.

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