Feedback Ü03

Solution

Great start! There is still some work to do for the presentation in the README, please refer to the positive examples I've shown in the lecture. Most importantly,

• include plots for how the accuracy (y axis) varies with the max_depth (x axis)
• please include visualisations of your results
• please include the plotted decision tree.

Project Proposal

Oh wow, I did not know such a dataset exists. Cool!

But one important question: Does the dataset contain the labels you intend to predict, i.e. die Stimmung (fröhlich, traurig, ...)? If so, which column is it from the dataset?

If these labels miss, this would be unsupervised learning and the algorithms from the lecture would be unusable. This is not a problem in principle if you are willing to invest the time in learning new algorithms, but I do not know whether that is your intention.