phase 2 output is formatted and only the 10 best rules by lift are written

DataModel.hs

@@ -42,7 +42,7 @@ empty = ItemSet (Set.fromList [])
 data Rule = Rule ItemSet ItemSet deriving (Eq)
 
 instance Show Rule where
-    show (Rule a b) = show a ++ "->" ++ show b
+    show (Rule a b) = show a ++ "," ++ show b
 
 instance Freq Rule where
     frequency table (Rule (ItemSet set1) (ItemSet set2)) = frequency table $

phase2.hs

@@ -2,6 +2,7 @@ import CSVParser
 import DataModel
 import ExtractRules
 import qualified Data.Set as Set
+import qualified Data.List as List
 import System.Environment(getArgs)
 import Control.Monad(when)
 
@@ -9,7 +10,7 @@ main :: IO()
 main = do
     args <- getArgs
     when (3 > length args) (error "Usage: phase2 table.csv frequents.csv threshold [out.assoc]")
-    let threshold = read $ last args
+    let threshold = read $ args !! 2
     tableFile <- readFile $ head args
     freqFile <- readFile $ args !! 1
     case parseCSV tableFile of
@@ -18,13 +19,12 @@ main = do
             case parseCSV freqFile of
                 Left _ -> error "Could not parse frequent patterns"
                 Right freqFileContent -> do
-                    --putStrLn output
+                    print $ zip rules $ map (lift table) rules
-                    print $ zip rules (map (lift table) rules)
                     when (length args > 3) $
                         writeFile (args !! 3) output
                     where
                     freqPats = map ((ItemSet. Set.fromList .map Item) . tail) freqFileContent
                     table = map (ItemSet. Set.fromList .map Item) tableFileContent
-                    rules = extractRules threshold table freqPats
+                    rules = List.sortBy (\x y -> compare (lift table y) (lift table x)) $ extractRules threshold table freqPats
-                    output = init $ foldr ((\x old -> old++x++"\n").show) "" rules
+                    output = init $ foldr ((\x old -> old ++ x ++ "\n").show) "" $ take 10 rules