Table 3

Performance comparisons between different classification methods on 1000 simulated training spaces. The second column gives the average over all training spaces of the 11-point average precision for each of the different methods. The counts listed in a given row and column give the number of training spaces on which the performance of the method listed on that row outperformed/equaled/fell below the method listed at the top of that column.

11-papPAV-AdaLinAdaStmpAdaBayes’
Ideal0.7721962/38/0993/7/0990/10/0993/7/0
PavAda0.7321949/41/10885/37/78954/44/2
LinAda0.705310/41/949220/534/24667/901/32
StmpAda0.704778/37/885246/534/220284/494/222
Bayes’0.70422/44/95432/901/67222/494/284
Random0.50390/0/10000/0/10000/0/10000/0/1000
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