diff options
| -rw-r--r-- | lualib/rspamadm/classifier_test.lua | 10 |
1 files changed, 8 insertions, 2 deletions
diff --git a/lualib/rspamadm/classifier_test.lua b/lualib/rspamadm/classifier_test.lua index 4e001bf17..4148a7538 100644 --- a/lualib/rspamadm/classifier_test.lua +++ b/lualib/rspamadm/classifier_test.lua @@ -90,7 +90,7 @@ local function train_classifier(files, command) end -- Function to classify files and return results -local function classify_files(files) +local function classify_files(files, known_spam_files, known_ham_files) local fname = os.tmpname() list_to_file(files, fname) @@ -118,7 +118,13 @@ local function classify_files(files) if symbols[opts.spam_symbol] then table.insert(results, { result = "spam", file = file }) + if known_ham_files[file] then + rspamd_logger.message("FP: %s is classified as spam but is known ham", file) + end elseif symbols[opts.ham_symbol] then + if known_spam_files[file] then + rspamd_logger.message("FN: %s is classified as ham but is known spam", file) + end table.insert(results, { result = "ham", file = file }) end end @@ -216,7 +222,7 @@ local function handler(args) print(string.format("Start cross validation, %d messages, %d connections", #cv_files, opts.nconns)) -- Get classification results local t = rspamd_util.get_time() - local results = classify_files(cv_files) + local results = classify_files(cv_files, known_spam_files, known_ham_files) local elapsed = rspamd_util.get_time() - t -- Evaluate results |