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Final project presentation evaluations
The following form is for the evaluation of the final projects in "Applied Machine Learning and Big Data" (aka. "Big Data Analysis"). Each person is asked to give their independent overall evaluation of each of the 13 projects, also their own! You are thus asked to give 13 scores from 1 to 10 (10 being the best). You should try to use most of the scale, and have an average between 4-7 (though we will of course still scale scores afterwards). The  evaluation should be based on the following five criteria:
* Complexity of problem
* Arguments behind ML method(s) used
* Own evaluation of ML performance
* Clarity of presentation
* Ability to evaluate ML usage
You points will not influence the grading of the projects (well, at most your own, if they are completely off!).
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Project 1: NN playing Bomberman unsupervised
Terrible
Awesome
Clear selection
Project 2: Predicting bone age from X-ray images
Terrible
Awesome
Clear selection
Project 3: Stellar spectral analysis
Terrible
Awesome
Clear selection
Project 4: Stock market predictions
Terrible
Awesome
Clear selection
Project 5: Finding Wally in (2D) images
Terrible
Awesome
Clear selection
Project 6: Classification of stellar spectra
Terrible
Awesome
Clear selection
Project 7: Estimating age from facial images
Terrible
Awesome
Clear selection
Project 8: Mining UFO sighting data
Terrible
Awesome
Clear selection
Project 9: Classification of dog and cat images
Terrible
Awesome
Clear selection
Project 10: Multi Class Classification of heart beats
Terrible
Awesome
Clear selection
Project 11: Prediction of surface absorptions
Terrible
Awesome
Clear selection
Project 12: Predicting solar battery properties
Terrible
Awesome
Clear selection
Project 13: Skin lesion classification
Terrible
Awesome
Clear selection
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