https://issues.apache.org/SpamAssassin/show_bug.cgi?id=6155

--- Comment #97 from Mark Martinec <[email protected]> 2009-10-14 16:29:29 
UTC ---
gen-set0-5-5.0-10000-ga
test (10%)
# SUMMARY for threshold 5.0:
# Correctly non-spam:  35461  98.50%
# Correctly spam:      38357  81.35%
# False positives:       541  1.50%
# False negatives:      8794  18.65%
# TCR(l=50): 1.315450  SpamRecall: 81.349%  SpamPrec: 98.609%
scores (90%):
# SUMMARY for threshold 5.0:
# Correctly non-spam: 283119  42.494%  (98.304% of non-spam corpus)
# Correctly spam:     306367  45.984%  (80.997% of spam corpus)
# False positives:      4886  0.733%  (1.696% of nonspam, 179777 weighted)
# False negatives:     71879  10.789%  (19.003% of spam, 231331 weighted)
# Average score for spam:  10.4    nonspam: 1.7
# Average for false-pos:   5.6  false-neg: 3.2
# TOTAL:              666251  100.00%

gen-set1-10-5.0-10000-ga
test:
# SUMMARY for threshold 5.0:
# Correctly non-spam:  35942  99.83%
# Correctly spam:      45983  97.52%
# False positives:        60  0.17%
# False negatives:      1168  2.48%
# TCR(l=50): 11.312620  SpamRecall: 97.523%  SpamPrec: 99.870%
scores:
# SUMMARY for threshold 5.0:
# Correctly non-spam: 287639  43.173%  (99.873% of non-spam corpus)
# Correctly spam:     368783  55.352%  (97.498% of spam corpus)
# False positives:       366  0.055%  (0.127% of nonspam,  27040 weighted)
# False negatives:      9463  1.420%  (2.502% of spam,  29645 weighted)
# Average score for spam:  20.3    nonspam: 0.2
# Average for false-pos:   5.6  false-neg: 3.1
# TOTAL:              666251  100.00%

gen-set2-10-5.0-10000-ga
test:
# SUMMARY for threshold 5.0:
# Correctly non-spam:  35949  99.85%
# Correctly spam:      44538  94.46%
# False positives:        53  0.15%
# False negatives:      2613  5.54%
# TCR(l=50): 8.958959  SpamRecall: 94.458%  SpamPrec: 99.881%
scores:
# SUMMARY for threshold 5.0:
# Correctly non-spam: 287557  43.160%  (99.844% of non-spam corpus)
# Correctly spam:     357656  53.682%  (94.556% of spam corpus)
# False positives:       448  0.067%  (0.156% of nonspam,  33456 weighted)
# False negatives:     20590  3.090%  (5.444% of spam,  73371 weighted)
# Average score for spam:  12.3    nonspam: 0.8
# Average for false-pos:   5.7  false-neg: 3.6
# TOTAL:              666251  100.00%

gen-set3-20-5.0-10000-ga
test:
# SUMMARY for threshold 5.0:
# Correctly non-spam:  21173  99.92%
# Correctly spam:      43749  99.08%
# False positives:        17  0.08%
# False negatives:       404  0.92%
# TCR(l=50): 35.209729  SpamRecall: 99.085%  SpamPrec: 99.961%
scores:
# SUMMARY for threshold 5.0:
# Correctly non-spam: 168159  32.186%  (99.976% of non-spam corpus)
# Correctly spam:     350875  67.159%  (99.046% of spam corpus)
# False positives:        40  0.008%  (0.024% of nonspam,   9039 weighted)
# False negatives:      3379  0.647%  (0.954% of spam,  11476 weighted)
# Average score for spam:  19.3    nonspam: -0.8
# Average for false-pos:   5.4  false-neg: 3.4
# TOTAL:              522453  100.00%

===========
In summary, the essential data:

score set 0 (no net, no bayes):
# False positives:      4886  0.733%  (1.696% of nonspam, 179777 weighted)
# False negatives:     71879  10.789%  (19.003% of spam, 231331 weighted)

score set 1 (net, no bayes):
# False positives:       366  0.055%  (0.127% of nonspam,  27040 weighted)
# False negatives:      9463  1.420%  (2.502% of spam,  29645 weighted)

score set 2 (no net, bayes):
# False positives:       448  0.067%  (0.156% of nonspam,  33456 weighted)
# False negatives:     20590  3.090%  (5.444% of spam,  73371 weighted)

score set 3 (net, bayes):
# False positives:        40  0.008%  (0.024% of nonspam,   9039 weighted)
# False negatives:      3379  0.647%  (0.954% of spam,  11476 weighted)

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