Kaggle, Kaggle Competition.
final setting, epsilon-SVR, RBF kernel with optimized parameters (c=2, g=1/30 and p=0.1) yielded a greatly improved AUC (0.839). Tools I used Python for processing the CSV data. Gnuplot for visualizing the observation data. LibSVM for constructing a SVM model, including processes of training and