To conduct our sampling designs in an adaptive manner we start with a small seed dataset. /Initial probabilities are obtained from the seed dataset and then entropy values are extracted. /Then the algorithm samples feature observations based on the three different schemes./ Levels of uncertainty (entropies) for all of the items are updated based on what have been sampled so far. /This process is repeated until the final sampling criterion, which in this study is to reach a fixed number of observations. /Figure 4, shows a simple flowchart of the algorithm./ In this study 3 different sizes for the seed dataset are: 2, 4 and 8 records