Creating fake APOD pictures
Introduction I volunteer to teach programming to two high school students through a non-profit called The Coding School, specifically the CodeConnects program. One of my students is taking AP Computer Science at the same time. His teacher requires all the students to complete a final project of their choosing; they have complete freedom in picking the project except it has to be approved by the teacher. (That sounds like an awesome teacher by the way, encouraging students to learn on their own by pursuing their own passion projects.
TSS versus f1-measure
The above movie shows how accuracy, TSS, and f1-measure change under the assumption that a classifier has no false positives until it has classified all of a class correctly. The vertical grey line shows the actual percentage of the features having a given class versus the horizontal axis what percentage of the class is identified by the model. For example, if the true class percentage is 0.1 as shown below we see that an aggressive classifier, one that prefers creating false positives, is punished much less by accuracy and TSS than by the f1-measure.