diff --git a/src/IrisData.hs.template b/src/IrisData.hs.template
new file mode 100644
index 0000000..e5db1c4
--- /dev/null
+++ b/src/IrisData.hs.template
@@ -0,0 +1,177 @@
+{-# LANGUAGE DeriveGeneric #-}
+{-# LANGUAGE MultiParamTypeClasses #-}
+{-# LANGUAGE OverloadedStrings #-}
+{-# LANGUAGE TypeApplications #-}
+{-# LANGUAGE NoImplicitPrelude #-}
+
+module IrisData where
+
+import Data.Csv
+import Protolude
+
+data IrisClass = Setosa | Virginica | Versicolor deriving (Eq, Generic, Show, Enum, Bounded)
+
+instance FromRecord IrisClass
+
+instance ToRecord IrisClass
+
+irisData :: [((Float, Float, Float, Float), IrisClass)]
+irisData =
+  [
+    ((5.0, 3.5, 1.6, 0.6), Setosa),
+    ((4.6, 3.1, 1.5, 0.2), Setosa),
+    ((4.8, 3.4, 1.6, 0.2), Setosa),
+    ((4.8, 3.0, 1.4, 0.3), Setosa),
+    ((6.4, 2.9, 4.3, 1.3), Versicolor),
+    ((5.5, 2.6, 4.4, 1.2), Versicolor),
+    ((5.2, 2.7, 3.9, 1.4), Versicolor),
+    ((6.0, 2.9, 4.5, 1.5), Versicolor),
+    ((5.3, 3.7, 1.5, 0.2), Setosa),
+    ((6.4, 3.2, 5.3, 2.3), Virginica),
+    ((6.4, 3.1, 5.5, 1.8), Virginica),
+    ((5.1, 3.8, 1.6, 0.2), Setosa),
+    ((5.1, 3.7, 1.5, 0.4), Setosa),
+    ((4.6, 3.4, 1.4, 0.3), Setosa),
+    ((5.6, 3.0, 4.1, 1.3), Versicolor),
+    ((6.1, 3.0, 4.6, 1.4), Versicolor),
+    ((5.2, 3.5, 1.5, 0.2), Setosa),
+    ((7.4, 2.8, 6.1, 1.9), Virginica),
+    ((6.5, 2.8, 4.6, 1.5), Versicolor),
+    ((6.3, 3.3, 6.0, 2.5), Virginica),
+    ((4.8, 3.1, 1.6, 0.2), Setosa),
+    ((7.7, 3.0, 6.1, 2.3), Virginica),
+    ((6.0, 2.2, 5.0, 1.5), Virginica),
+    ((5.5, 2.5, 4.0, 1.3), Versicolor),
+    ((6.5, 3.0, 5.5, 1.8), Virginica),
+    ((4.4, 2.9, 1.4, 0.2), Setosa),
+    ((6.4, 3.2, 4.5, 1.5), Versicolor),
+    ((5.0, 3.4, 1.6, 0.4), Setosa),
+    ((6.1, 2.6, 5.6, 1.4), Virginica),
+    ((6.6, 2.9, 4.6, 1.3), Versicolor),
+    ((6.7, 3.1, 4.4, 1.4), Versicolor),
+    ((5.4, 3.7, 1.5, 0.2), Setosa),
+    ((5.4, 3.0, 4.5, 1.5), Versicolor),
+    ((5.1, 3.8, 1.5, 0.3), Setosa),
+    ((5.0, 2.3, 3.3, 1.0), Versicolor),
+    ((6.0, 2.7, 5.1, 1.6), Versicolor),
+    ((4.6, 3.2, 1.4, 0.2), Setosa),
+    ((5.6, 2.7, 4.2, 1.3), Versicolor),
+    ((6.7, 3.3, 5.7, 2.1), Virginica),
+    ((6.9, 3.1, 5.1, 2.3), Virginica),
+    ((7.7, 3.8, 6.7, 2.2), Virginica),
+    ((6.1, 2.8, 4.7, 1.2), Versicolor),
+    ((5.8, 2.7, 3.9, 1.2), Versicolor),
+    ((6.7, 3.3, 5.7, 2.5), Virginica),
+    ((5.0, 3.4, 1.5, 0.2), Setosa),
+    ((4.7, 3.2, 1.6, 0.2), Setosa),
+    ((6.8, 3.0, 5.5, 2.1), Virginica),
+    ((6.2, 2.2, 4.5, 1.5), Versicolor),
+    ((5.7, 3.8, 1.7, 0.3), Setosa),
+    ((5.8, 4.0, 1.2, 0.2), Setosa),
+    ((7.2, 3.2, 6.0, 1.8), Virginica),
+    ((5.8, 2.7, 4.1, 1.0), Versicolor),
+    ((6.5, 3.0, 5.8, 2.2), Virginica),
+    ((6.9, 3.2, 5.7, 2.3), Virginica),
+    ((5.8, 2.7, 5.1, 1.9), Virginica),
+    ((5.2, 4.1, 1.5, 0.1), Setosa),
+    ((4.6, 3.6, 1.0, 0.2), Setosa),
+    ((4.7, 3.2, 1.3, 0.2), Setosa),
+    ((6.9, 3.1, 5.4, 2.1), Virginica),
+    ((6.1, 2.9, 4.7, 1.4), Versicolor),
+    ((6.0, 3.4, 4.5, 1.6), Versicolor),
+    ((5.6, 3.0, 4.5, 1.5), Versicolor),
+    ((5.2, 3.4, 1.4, 0.2), Setosa),
+    ((6.3, 3.3, 4.7, 1.6), Versicolor),
+    ((7.2, 3.6, 6.1, 2.5), Virginica),
+    ((6.5, 3.2, 5.1, 2.0), Virginica),
+    ((6.3, 2.5, 4.9, 1.5), Versicolor),
+    ((5.1, 3.8, 1.9, 0.4), Setosa),
+    ((7.0, 3.2, 4.7, 1.4), Versicolor),
+    ((4.9, 3.1, 1.5, 0.1), Setosa),
+    ((4.9, 2.4, 3.3, 1.0), Versicolor),
+    ((6.1, 3.0, 4.9, 1.8), Virginica),
+    ((4.9, 3.1, 1.5, 0.1), Setosa),
+    ((6.2, 2.9, 4.3, 1.3), Versicolor),
+    ((5.7, 3.0, 4.2, 1.2), Versicolor),
+    ((7.2, 3.0, 5.8, 1.6), Virginica),
+    ((5.0, 2.0, 3.5, 1.0), Versicolor),
+    ((4.3, 3.0, 1.1, 0.1), Setosa),
+    ((6.7, 3.1, 4.7, 1.5), Versicolor),
+    ((5.5, 2.4, 3.8, 1.1), Versicolor),
+    ((5.7, 2.8, 4.5, 1.3), Versicolor),
+    ((7.7, 2.8, 6.7, 2.0), Virginica),
+    ((7.6, 3.0, 6.6, 2.1), Virginica),
+    ((4.9, 2.5, 4.5, 1.7), Virginica),
+    ((5.1, 2.5, 3.0, 1.1), Versicolor),
+    ((6.4, 2.8, 5.6, 2.1), Virginica),
+    ((6.4, 2.8, 5.6, 2.2), Virginica),
+    ((5.9, 3.0, 5.1, 1.8), Virginica),
+    ((4.4, 3.2, 1.3, 0.2), Setosa),
+    ((6.3, 2.3, 4.4, 1.3), Versicolor),
+    ((5.4, 3.4, 1.7, 0.2), Setosa),
+    ((4.9, 3.0, 1.4, 0.2), Setosa),
+    ((6.7, 3.0, 5.2, 2.3), Virginica),
+    ((5.0, 3.5, 1.3, 0.3), Setosa),
+    ((5.1, 3.3, 1.7, 0.5), Setosa),
+    ((7.7, 2.6, 6.9, 2.3), Virginica),
+    ((5.6, 2.9, 3.6, 1.3), Versicolor),
+    ((7.3, 2.9, 6.3, 1.8), Virginica),
+    ((6.7, 3.1, 5.6, 2.4), Virginica),
+    ((6.3, 2.8, 5.1, 1.5), Virginica),
+    ((5.6, 2.5, 3.9, 1.1), Versicolor),
+    ((5.4, 3.9, 1.3, 0.4), Setosa),
+    ((5.5, 2.3, 4.0, 1.3), Versicolor),
+    ((6.4, 2.7, 5.3, 1.9), Virginica),
+    ((5.1, 3.5, 1.4, 0.3), Setosa),
+    ((5.5, 3.5, 1.3, 0.2), Setosa),
+    ((5.0, 3.2, 1.2, 0.2), Setosa),
+    ((5.1, 3.4, 1.5, 0.2), Setosa),
+    ((5.4, 3.9, 1.7, 0.4), Setosa),
+    ((4.5, 2.3, 1.3, 0.3), Setosa),
+    ((6.7, 3.0, 5.0, 1.7), Versicolor),
+    ((5.0, 3.3, 1.4, 0.2), Setosa),
+    ((7.1, 3.0, 5.9, 2.1), Virginica),
+    ((5.8, 2.6, 4.0, 1.2), Versicolor),
+    ((6.3, 2.7, 4.9, 1.8), Virginica),
+    ((6.8, 3.2, 5.9, 2.3), Virginica),
+    ((6.6, 3.0, 4.4, 1.4), Versicolor),
+    ((5.4, 3.4, 1.5, 0.4), Setosa),
+    ((5.0, 3.6, 1.4, 0.2), Setosa),
+    ((5.9, 3.2, 4.8, 1.8), Versicolor),
+    ((6.3, 2.5, 5.0, 1.9), Virginica),
+    ((6.0, 3.0, 4.8, 1.8), Virginica),
+    ((7.9, 3.8, 6.4, 2.0), Virginica),
+    ((5.9, 3.0, 4.2, 1.5), Versicolor),
+    ((4.8, 3.0, 1.4, 0.1), Setosa),
+    ((5.7, 2.8, 4.1, 1.3), Versicolor),
+    ((6.7, 2.5, 5.8, 1.8), Virginica),
+    ((5.7, 2.6, 3.5, 1.0), Versicolor),
+    ((4.4, 3.0, 1.3, 0.2), Setosa),
+    ((4.8, 3.4, 1.9, 0.2), Setosa),
+    ((6.3, 3.4, 5.6, 2.4), Virginica),
+    ((5.5, 4.2, 1.4, 0.2), Setosa),
+    ((5.0, 3.0, 1.6, 0.2), Setosa),
+    ((5.7, 2.9, 4.2, 1.3), Versicolor),
+    ((6.2, 2.8, 4.8, 1.8), Virginica),
+    ((6.2, 3.4, 5.4, 2.3), Virginica),
+    ((6.5, 3.0, 5.2, 2.0), Virginica),
+    ((4.9, 3.1, 1.5, 0.1), Setosa),
+    ((5.8, 2.7, 5.1, 1.9), Virginica),
+    ((5.1, 3.5, 1.4, 0.2), Setosa),
+    ((5.6, 2.8, 4.9, 2.0), Virginica),
+    ((5.5, 2.4, 3.7, 1.0), Versicolor),
+    ((6.1, 2.8, 4.0, 1.3), Versicolor),
+    ((5.7, 4.4, 1.5, 0.4), Setosa),
+    ((6.9, 3.1, 4.9, 1.5), Versicolor),
+    ((5.8, 2.8, 5.1, 2.4), Virginica),
+    ((5.7, 2.5, 5.0, 2.0), Virginica),
+    ((6.8, 2.8, 4.8, 1.4), Versicolor),
+    ((6.3, 2.9, 5.6, 1.8), Virginica),
+    ((6.0, 2.2, 4.0, 1.0), Versicolor),
+  ]
+
+irisTestData :: [((Float, Float, Float, Float), IrisClass)]
+irisTestData =
+    [
+
+    ]
diff --git a/src/IrisDataset.hs b/src/IrisDataset.hs
index 077e697..e80a8d0 100644
--- a/src/IrisDataset.hs
+++ b/src/IrisDataset.hs
@@ -12,15 +12,12 @@ module IrisDataset
   )
 where
 
-import qualified Data.ByteString.Lazy as B
-import Data.Csv
 import qualified Data.List.NonEmpty as NE
 import qualified Data.Map.Strict as Map
 import Data.Random
 import Data.Random.Distribution.Uniform
 import qualified Data.Text as T
 import Data.Tuple.Extra
-import qualified Debug.Trace as DB
 import GA
 import LambdaCalculus
 import IrisData
@@ -96,7 +93,6 @@ data FittnesRes = FittnesRes
     fitnessGeoMean :: R,
     fitnessMean :: R,
     accuracy :: Int,
-    biasDist :: R,
     biasSize :: R
   }
   deriving (Show)
@@ -126,7 +122,6 @@ evalResult ex tr = do
   let res = map (\(a, b, c, d) -> result a b c d) (fst (trainingData ex))
   let resAndTarget = (zip (snd (trainingData ex)) res)
   let acc = (foldr (\ts s -> if ((fst ts) == (snd ts)) then s + 1 else s) 0 resAndTarget) :: Int
-  let biasWellDistributed = (foldr (*) 1 (map (\ty -> (foldr (\ts s -> if ((snd ts) == ty) then s + 1 else s) 1 resAndTarget)) ([minBound .. maxBound] :: [IrisClass]) :: [R])) ** (1 / 3) -- 1 (schlecht) bis 51 (gut)
   let biasSmall = exp (-(fromIntegral (countTrsR tr))) -- 0 (schlecht) bis 1 (gut)
   let fitness' = meanOfAccuricyPerClass resAndTarget
   let score = fitness' + (biasSmall - 1)
@@ -138,7 +133,6 @@ evalResult ex tr = do
           fitnessMean = meanOfAccuricyPerClass resAndTarget,
           fitnessGeoMean = geomeanOfDistributionAccuracy resAndTarget,
           accuracy = acc,
-          biasDist = biasWellDistributed,
           biasSize = biasSmall
         }
     )