cc331f1d0349fe1675cb0ab541e684f81faf0589,pythonds/base.py,DS,predict,#DS#Any#,215

Before Change

                // DS or the knn classifier
                if self.with_IH and (self._hardness_region_competence(self.neighbors) <= self.IH_rate):
                    // use the KNN for prediction if the sample is located in a safe region.
                    predicted_labels[index] = self.knn.predict(instance.reshape(1, -1))

                // Otherwise, use DS for classification
                else:
                    // Check if the dynamic frienemy pruning should be used

After Change

                    // use the KNN for prediction if the sample is located in a safe region.
                    // predicted_labels[index] = self.knn.predict(instance)
                    // Using the pre-calculated set of neighbors to perform the decision
                    y_neighbors = [self.DSEL_target[neighbor_idx] for neighbor_idx in self.neighbors]
                    predicted_labels[index], _ = mode(y_neighbors)

                // Otherwise, use DS for classification
                else:
                    // Check if the dynamic frienemy pruning should be used

Instances