Number of training examples:    1000
Number of validation examples:  5000 (for model selection)
Number of test examples:       10000

1) error rate

a) for all 5 runs
    0.0453    0.0446    0.0448    0.0480    0.0451

b) mean
    0.0456

c) standard deviation
    0.0014

2) specificity ( 1 - false positives )

a) for all 5 runs
    0.9724    0.9641    0.9593    0.9761    0.9659

b) mean

    0.9676

c) standard deviation
    0.0067

3) sensitivity (true positives)

a) for all 5 runs
    0.9262    0.9409    0.9486    0.9116    0.9363

b) mean
    0.9327

c) standard deviation
    0.0143