Part of the TuxML Project to predict kernel properties from a wide range of already tested kernels.
ML is the last leg of the journey, taking data from the CSV generated with csvgen. All the Machine Learning is done here, to predict whether a kernel boots, what kernel is the smallest, quickest to boot, etc...
python3 and a whole lot of libs :
pip3 install scikit-learn numpy scipy
./statsTuxML.py file.csv