Gap-weighted subsequences for automatic cognate identification and phylogenetic inference
Table 4: Five-fold cross-validation accuracy for a combination of HK features and various subsequence lengths.
['Features', 'ACC']
Encouraged by this positive result, we proceeded to test if the combination of HK features and subsequence features improve the cross-validation accuracies. In this experiment, the highest result is for p=4. We report the results for p>1 since, the p=1 classifier performs worse than HK-based classifier.