# Example Graphs

Note that the actual numbers in the following examples are made up. These are meant to give you a sense of what the graphs should look like.

## Perceptron

Average misclassification rate during training:

Linearly separable instances:

Non-linearly separable instances:

## Backpropagation

For many of these graphs, different styles can work. Bar and line graphs are shown below.

### Line graphs

### Bar graphs

## Nearest Neighbor

For many of these graphs, different styles can work. Bar and line graphs are shown below.

## Clustering

The various SSE vs k-value graphs might look something like this:

Silhouette graph example

## Acknowledgments

Thanks to Dr. Tony Martinez for help in designing this course.