# FP%/FN% Percentages

The main system used to measure spam-filtering accuracy in SpamAssassin is the "FP%/FN% percentages" system.

It's quite simple. First, you scan a corpus of hand-classified mail (see HandClassifiedCorpora) to get 4 figures:

```  nspam   = number of known-to-be-spam messages in the corpus
nham    = number of known-to-be-ham (nonspam) messages in the corpus
fp      = number of ham messages incorrectly marked as spam
fn      = number of spam messages incorrectly marked as ham```

fp is so named because it's more commonly and concisely called a FalsePositive, and fn a FalseNegative.

Next, perform this calculation:

```  FP% = (fp / nham) * 100
FN% = (fn / nspam) * 100```

and you have two numbers that simply, concisely, and comprehensibly describe the accuracy and performance of the filter.

For example, let's say we do a test as follows:

```  nspam   = 1000
nham    = 1500
fp      = 2
fn      = 30```

the FP% and FN% work out as (2 / 1500) * 100 = 0.1333% and (30 / 1000) * 100 = 3.0% respectively.

The 'STATISTICS.txt' files distributed with SpamAssassin versions since about 2.30 include this data, measuring the ruleset's accuracy against a validation ruleset:

```# SUMMARY for threshold 5.0:
# Correctly non-spam:  29443  99.97%
# Correctly spam:      27220  97.53%
# False positives:         9  0.03%
# False negatives:       688  2.47%
# TCR(l=50): 24.523726  SpamRecall: 97.535%  SpamPrec: 99.967%```

As you can see, FP% and FN% get pride of place in the measurement scheme.