Im using a Random Forest to discover rules based on a simple dataset. After computing the model I check the trees to find leaves with a high confidence. when comparing the number of records shown by the tree description with the data in the dataset it turns out that the numbers are wrong. For instance, I have one attribute with a 50/50 distribution (greater than 0 and less than 0). The tree has the correct split value (0) but has 10 more records in the left branch.