It is important to note that the number of samples is very small (only 200) and we don't specify a random seed. As such, you can expect significant variance in the results. The full dataset which consists of over 1000 CT scans can be found here. Using the full dataset, an accuracy of 83% was achieved. A variability of 6-7% in the classification performance is observed in both cases.