kaggle-digit-recognizer

Code for Python digit recognizer starter comptetition. http://www.kaggle.com/c/digit-recognizer

benchmark kNN k=10, cover_tree gives 0.96557 accuracy benchmark rf 1000 trees gives 0.96829 accuracy

knnpy-knn/experiment2 gives same accuracy as benchmark, but if we reduce dimmensions with PCA to lets say ~100 components kNN performs better than rf benchmark.

plotted explained variance of PCA helps to choose optimal component count to keep 90% variance

py-knn

For kNN experiments

py-rf

For random forests experiments

libraries used

• numpy
• scipy
• sklearn (scikit-learn)
• matplotlib