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.