Update adult.jl

Author: bensadeghi

test/adult.jl

@@ -4,7 +4,7 @@ using DecisionTree
 run(`wget https://archive.ics.uci.edu/ml/machine-learning-databases/adult/adult.data`);
 adult = readcsv("adult.data");
 
-features = adult[:, 2:14];
+features = adult[:, 1:14];
 labels = adult[:, 15];
 
 println("\n##### 3 foldCV Classification Tree #####")
@@ -14,4 +14,3 @@ accuracy = nfoldCV_tree(labels, features, 0.9, 3);
 println("\n##### 3 foldCV Classification Forest #####")
 accuracy = nfoldCV_forest(labels, features, 2, 10, 3, 0.5);
 @test mean(accuracy) > 0.8
-