wrote (tuned) random forest estimator for 1k sample training/testing sets.


Former-commit-id: a78dccf0f75f79e769a8a813a9c1ad02eea0ce0e
wrote new script based on subset_rf.R to investigate rf accuracy as a function of training.set size.


Former-commit-id: 930436fac46b000ddcf6c7b0a038f4e521bdb6db
caught typo with parentheses.


Former-commit-id: 18047b566f80937067e957b67f4f3b9de6815263
added OOB analysis and a vote proportion plot.


Former-commit-id: 25e876bc98d65dea1cfa1503b5130d28e4f7e0a7
fixed a typo in the end, for saving the workspace, and expanded hyper-parmater grid to 3D.


Former-commit-id: 94574904fd8e8ee05c3aa98aaa813c018c0bbeb8
fixed up rf_investigation to handle grizzlybear output and 3D hyper-parameter grid.


Former-commit-id: 402a55e2f6b98bde5890fd43560a2a548ae7e131
wrote cv suite with caret to investiate best mtry for rf.


Former-commit-id: d33f7fa5bae5bf1bbbdf4a5d0c3ae4bc230e63e3
updated .gitignore.


Former-commit-id: 94cab0f8d4e969868f0037cf97a6c4dc0b913cd8