diff --git a/src/dkohl/bayes/builders/FoodNetBuilder.java b/src/dkohl/bayes/builders/FoodNetBuilder.java
index 6974a4f..249e829 100644
--- a/src/dkohl/bayes/builders/FoodNetBuilder.java
+++ b/src/dkohl/bayes/builders/FoodNetBuilder.java
@@ -86,8 +86,11 @@ public class FoodNetBuilder {
 	DataPoint normPoint = new DataPoint(point);
 	for (String key : point.keySet()) {
 	    if (onto.getInheritance().containsKey(key)) {
-		normPoint
-			.add(build(onto.getInheritance().get(key), TRUE_VALUE));
+		if(point.get(key).getValue().equals(TRUE_VALUE)){
+		    normPoint.add(build(onto.getInheritance().get(key), TRUE_VALUE));
+		} else {
+		    normPoint.add(build(onto.getInheritance().get(key), FALSE_VALUE));
+		}
 	    }
 	}
 
@@ -125,17 +128,32 @@ public class FoodNetBuilder {
 	Ingredients ingredients = recipe.getIngredients();
 
 	if (ingredients.contains(TYPE.BEEF)) {
-	    point.add(build(CONTAINS_BEEF, TRUE_VALUE));
+	    if(weight > 5) {
+		point.add(build(CONTAINS_BEEF, TRUE_VALUE));
+	    } else {
+		point.add(build(CONTAINS_BEEF, FALSE_VALUE));
+	    }
 	}
 	if (ingredients.contains(TYPE.PORK)) {
-	    point.add(build(CONTAINS_PORK, TRUE_VALUE));
+	    if(weight > 5) {
+		point.add(build(CONTAINS_PORK, TRUE_VALUE));
+	    } else {
+		point.add(build(CONTAINS_PORK, FALSE_VALUE));
+	    }
 	}
 	if (ingredients.contains(TYPE.POTATO)) {
-	    point.add(build(CONTAINS_POTATOS, TRUE_VALUE));
+	    if(weight > 5) {
+		point.add(build(CONTAINS_POTATOS, TRUE_VALUE));
+	    } else {
+		point.add(build(CONTAINS_POTATOS, FALSE_VALUE));
+	    }
 	}
 	if (ingredients.contains(TYPE.TOMATO)) {
-	    point.add(build(CONTAINS_TOMATOS, TRUE_VALUE));
-	}
+	    if(weight > 5) {
+		point.add(build(CONTAINS_TOMATOS, TRUE_VALUE));
+	    } else {
+		point.add(build(CONTAINS_TOMATOS, FALSE_VALUE));
+	    }	}
 	/*
 	 * if (ingredients.contains(TYPE.GENERIC_NUTS)) {
 	 * point.add(build(CONTAINS_GENERIC_NUTS, TRUE_VALUE)); }
diff --git a/src/dkohl/bayes/inference/EnumerateAll.java b/src/dkohl/bayes/inference/EnumerateAll.java
index fefdeae..f5d80f9 100644
--- a/src/dkohl/bayes/inference/EnumerateAll.java
+++ b/src/dkohl/bayes/inference/EnumerateAll.java
@@ -99,9 +99,6 @@ public class EnumerateAll {
 				temp.addAll(assignments);
 				temp.add(new Assignment(variable, value));
 				
-				if(net.getNodes().get(variable.getName()).eval(temp) == null) {
-				    System.out.println(variable.getName());
-				}
 				// then evaluate this variable
 				double val = net.getNodes().get(variable.getName()).eval(temp)
 						.getProbability();
diff --git a/src/net/woodyfolsom/cs6601/p2/BayesChef.java b/src/net/woodyfolsom/cs6601/p2/BayesChef.java
index e024008..4e9ce97 100644
--- a/src/net/woodyfolsom/cs6601/p2/BayesChef.java
+++ b/src/net/woodyfolsom/cs6601/p2/BayesChef.java
@@ -43,7 +43,7 @@ public class BayesChef {
 		int comparisonIndexEnd = numSurveyDishes;
 		
 		//TODO change this to include min/max recipe indices for building the net
-		BayesNet net = FoodNetBuilder.createDishNet(survey, recipeBook, bayesNetIndexStart, bayesNetIndexEnd);
+		BayesNet net = FoodNetBuilder.createDishNet(survey, recipeBook, bayesNetIndexStart, bayesNetIndexEnd);// FoodNetBuilder.createDishNet(survey, recipeBook, bayesNetIndexStart, bayesNetIndexEnd);
 		
 		System.out.println("Querying Bayes net for predicted flavor preferences: ");
 		//TODO change this to query actual flavor combos from latter half of survey