waveforms_classification

Classifying waveforms using KNN method:

In this project, we aim to classify three different classes of waves using the kNN algorithm. In our experiments, our goals are:

1. Finding the best k in the algorithm, which has the closest accuracy to the optimal Bayes classification rate.
2. Analyzing the bias-variance trade-off, comparing true and empirical risks over different values of k.
3. Applying data reduction techniques to reduce the complexity of kNN.
4. Generating an artificial imbalance in our data to examine its effects on the performance of kNN.