diff --git a/Game1/Game1.cs b/Game1/Game1.cs
index a282e74..6af18be 100644
--- a/Game1/Game1.cs
+++ b/Game1/Game1.cs
@@ -170,9 +170,9 @@ namespace Game1
             input.controlWindowSize();                                                                                                  //Controls the size of the screen depending on the number of tiles
             houseUnit.updateRectangle(input.getSize(), input.getTileSize(), input.getSpacing());                                        //Updates the position of the house if the house appears out of bound
             Time.updateTime(tractorUnit.getSpeed());
-            
 
 
+            //System.Threading.Thread updatethread = new System.Threading.Thread(new System.Threading.ParameterizedThreadStart(Update));
             base.Update(gameTime);
         }
 
diff --git a/Game1/Sources/Crops/Farm.cs b/Game1/Sources/Crops/Farm.cs
index c99cfa1..9586152 100644
--- a/Game1/Sources/Crops/Farm.cs
+++ b/Game1/Sources/Crops/Farm.cs
@@ -20,7 +20,7 @@ class Farm
     private float[][] whiteNoise;
     private float[][] perlinNoise;
     private DayNightCycle Time;
-    private float updatePerc = 0.25f;
+    private float updatePerc = 0.5f;
     private float updateProgress = 0;
     private int nextUpdate = 0;
     private int productionUpdate = 0;
@@ -147,13 +147,14 @@ class Farm
                     crops[i, j].updateProductionRate();
                 }
             }
-            updateProgress = updateProgress + updatePerc;
+            updateProgress = updateProgress + nextUpdate;
             if (updateProgress > 1)
             {
                 updateProgress = 0;
             }
             updateRainMapPosition(Size);
             productionUpdate = 0;
+            nextUpdate = 0;
         }
         productionUpdate++;
     }
@@ -310,7 +311,7 @@ class Farm
 
     public float getProductionRate(int x, int y, int Type)
     {
-        return crops[x, y].getProductionRate(PresetCrops.getPresetCropTypes(Type));
+        return crops[x, y]. getProductionRate(PresetCrops.getPresetCropTypes(Type));
     }
 
     public float GetRandomNumber(double minimum, double maximum)
diff --git a/Game1/Sources/ML/MLModel.cs b/Game1/Sources/ML/MLModel.cs
index c13e78a..30e3510 100644
--- a/Game1/Sources/ML/MLModel.cs
+++ b/Game1/Sources/ML/MLModel.cs
@@ -11,7 +11,7 @@ using Microsoft.ML.Trainers.LightGbm;
 class MLModel
 {
     private static MLContext mlContext = new MLContext(seed: 1);
-    /*
+    
     private static string path = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/Fertilizer_Prediction.csv";
     private static string modelpath = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/MLmodel";
     private static string report = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/report";
@@ -19,7 +19,7 @@ class MLModel
     private static string pathBig = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/BigFertPredict.csv";
     private static string modelpathBig = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/MLmodelBig";
     private static string reportBig = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/report_BigModel";
-    */
+    /*
    private static string pathBig = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/BigFertPredict.csv";
    private static string modelpathBig = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/MLmodelBig";
    private static string reportBig = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/report_BigModel";
@@ -27,7 +27,7 @@ class MLModel
    private static string path = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/Fertilizer_Prediction.csv";
    private static string modelpath = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/MLmodel";
    private static string report = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/report";
-
+   */
     // Loading data, creatin and saving ML model for smaller dataset (100)
     public static void CreateModel()
     {
diff --git a/Game1/Sources/ML_Joel/DataModel/OutputArea.cs b/Game1/Sources/ML_Joel/DataModel/OutputArea.cs
index 36254f2..79a5700 100644
--- a/Game1/Sources/ML_Joel/DataModel/OutputArea.cs
+++ b/Game1/Sources/ML_Joel/DataModel/OutputArea.cs
@@ -9,12 +9,7 @@ namespace Game1.Sources.ML_Joel
 {
     class OutputArea
     {
-        //[ColumnName("PredictedLabel")]
         public float Prediction { get; set; }
         public float Score { get; set; }
-
-        //[ColumnName("Score")]
-       // public float[] Score { get; set; }
-
     }
 }
diff --git a/Game1/Sources/ML_Joel/Engine.cs b/Game1/Sources/ML_Joel/Engine.cs
index aac86d7..ae5f78d 100644
--- a/Game1/Sources/ML_Joel/Engine.cs
+++ b/Game1/Sources/ML_Joel/Engine.cs
@@ -41,7 +41,7 @@ namespace Game1.Sources.ML_Joel
             {
                 Season = Time.getTimeOfYear(), 
                 Area = soilProperties.Area,
-                Rainfall = soilProperties.Humidity,
+                Rainfall = soilProperties.prevRainfall,
             };
 
             return PredictionEngineArea.Predict(modelInput).Score;
diff --git a/Game1/Sources/ML_Joel/Model.cs b/Game1/Sources/ML_Joel/Model.cs
index d543240..060f968 100644
--- a/Game1/Sources/ML_Joel/Model.cs
+++ b/Game1/Sources/ML_Joel/Model.cs
@@ -13,19 +13,24 @@ namespace Game1.Sources.ML_Joel
     class Model
     {
         private static MLContext mlContext = new MLContext(seed: 1);
+        
+        private static string path = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/Rainfall.csv";
+        private static string modelpath = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/MLmodel_Joel";
+        private static string report = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/report_Joel";
+
+        private static string path_area = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/Rainfall_area.csv";
+        private static string modelpath_area = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/MLmodel_Joel_area";
+        private static string report_area = "C:/Users/Oskar/source/repos/PotatoPlanFinal/Game1/Content/ML/report_Joel_area";
+
         /*
         private static string path = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/Rainfall.csv";
         private static string modelpath = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/MLmodel_Joel";
         private static string report = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/report_Joel";
-        */
-        private static string path = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/Rainfall.csv";
-        private static string modelpath = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/MLmodel_Joel";
-        private static string report = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/report_Joel";
 
         private static string path_area = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/Rainfall_area.csv";
         private static string modelpath_area = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/MLmodel_Joel_area";
         private static string report_area = "C:/Users/Joel/source/repos/Oskars Repo/Game1/Content/ML/report_Joel_area";
-
+        */
         // Loading data, creatin and saving ML model for smaller dataset (100)
         public static void CreateModel()
         {
@@ -142,7 +147,7 @@ namespace Game1.Sources.ML_Joel
             var eval = mlContext.Regression.Evaluate(trainingDataView, labelColumnName: labelColumnName);
 
             var report = File.CreateText(reportPath);
-            report.Write("Mean Absolute Error: " + eval.MeanAbsoluteError + '\n' + "Mean Squared Error: " + eval.MeanSquaredError + '\n' + "R Squared: " + eval.RSquared, 0, 0);
+            report.Write("Mean Absolute Error: " + eval.MeanAbsoluteError + '\n' + "R Squared: " + eval.RSquared, 0, 0);
             report.Flush();
             report.Close();
         }