Figure 4 shows the results of playing modified versions of BPP against the original version of BPP (which will be used as a baseline for comparison of the effectiveness of an enhancement). The horizontal axis shows the number of games played, while the vertical axis shows the cumulative winnings of the original BPP (negative winnings represents a win for the network implementing a newly developed feature).
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The addition of the arc to the network alone did not appear to make any
significant impact in the quality of play breaking practically even, losing
units per game (
).
The model featuring refined hand classes showed a significant improvement in
play (
), winning
units per game
most likely due it's ability to distinguish between common hand types.
Interestingly, when both enhancements are combined, it appears that the
introduction of modeling the dependence between hands does improve playing
performance significantly (
). The combined improvements
make a profit of
units per game when played against the
original network. This indicates that the two features are apparently highly
dependent and only with significant refinement of hands does modeling the
dependence of each players hands have any influence on performance.
The lack of improvement when hand dependence was implemented alone can most
probably be explained by the fact that most of the arcs effect takes place
when both players are holding similar hands. (Eg. The arc reduces the
likelihood of both players are holding a pair of queens). As this situation
occurs mostly for paired hands, much of the extra knowledge introduced by
the arc was being lost due to a large number of paired hands being lumped
together. With the addition of the node refinement, the additional information
provided by the introduction of the arc was used more effectively and a
significant influence was being made to the posterior probability of winning.