fix Iris

lambda/src/LambdaDatasets/GermanDataset.hs

@@ -89,10 +89,10 @@ lE =
       maxDepth = 5,
       weights =
         ExpressionWeights
-          { lambdaSpucker = 0,
-            lambdaSchlucker = 10,
-            symbol = 100,
-            variable = 5,
+          { lambdaSpucker = 1,
+            lambdaSchlucker = 2,
+            symbol = 30,
+            variable = 10,
             constant = 5
           }
     }
@@ -189,7 +189,7 @@ evalResults ex trs = do
 evalResult :: LamdaExecutionEnv -> TypeRequester -> (AccountStatus -> Int -> CreditHistory -> Purpose -> Int -> Savings -> EmploymentStatus -> Int -> StatusAndSex -> OtherDebtors -> Int -> Property -> Int -> OtherPlans -> Housing -> Int -> Job -> Int -> Bool -> Bool -> GermanClass) -> (TypeRequester, FittnesRes)
 evalResult ex tr result = ( tr,
       FittnesRes
-        { total = acc * 100 + (biasSmall - 1),
+        { total = score,
           fitnessTotal = fitness',
           fitnessMean = meanOfAccuricyPerClass resAndTarget,
           fitnessGeoMean = geomeanOfDistributionAccuracy resAndTarget,

lambda/src/LambdaDatasets/IrisDataset.hs

@@ -56,10 +56,10 @@ lE =
       maxDepth = 5,
       weights =
         ExpressionWeights
-          { lambdaSpucker = 0,
-            lambdaSchlucker = 10,
-            symbol = 100,
-            variable = 5,
+          { lambdaSpucker = 1,
+            lambdaSchlucker = 2,
+            symbol = 30,
+            variable = 10,
             constant = 5
           }
     }
@@ -155,7 +155,7 @@ evalResults ex trs = do
 evalResult :: LamdaExecutionEnv -> TypeRequester -> (Float -> Float -> Float -> Float -> IrisClass) -> (TypeRequester, FittnesRes)
 evalResult ex tr result = ( tr,
       FittnesRes
-        { total = acc * 100 + (biasSmall - 1),
+        { total = score,
           fitnessTotal = fitness',
           fitnessMean = meanOfAccuricyPerClass resAndTarget,
           fitnessGeoMean = geomeanOfDistributionAccuracy resAndTarget,

lambda/src/LambdaDatasets/NurseryDataset.hs

@@ -77,10 +77,10 @@ lE =
       maxDepth = 5,
       weights =
         ExpressionWeights
-          { lambdaSpucker = 0,
-            lambdaSchlucker = 10,
-            symbol = 100,
-            variable = 5,
+          { lambdaSpucker = 1,
+            lambdaSchlucker = 2,
+            symbol = 30,
+            variable = 10,
             constant = 5
           }
     }