remove test directory

demo/binary_classification/README

@@ -1,5 +1,4 @@
-example of training a binary classifier on UCI dataset
-http://archive.ics.uci.edu/ml/datasets/Mushroom
+Demonstrating how to use XGBoost accomplish binary classification tasks  on UCI mushroom dataset  http://archive.ics.uci.edu/ml/datasets/Mushroom
 
 Run: ./runexp.sh
 

demo/binary_classification/mushroom.conf

@@ -1,18 +1,17 @@
-num_round=2
-
-save_period=0
-
-data = "agaricus.txt.train"
-eval[test] = "agaricus.txt.test"
-test:data =  "agaricus.txt.test"
-
-
+# General Parameters
 booster_type = 0
 loss_type = 2
 
+# Tree Booster Parameters
 bst:tree_maker=2
-
 bst:eta=1.0
 bst:gamma=1.0
 bst:min_child_weight=1   
 bst:max_depth=3           
+
+# Binary Classification Parameters
+num_round=2
+save_period=0
+data = "agaricus.txt.train"
+eval[test] = "agaricus.txt.test"
+test:data =  "agaricus.txt.test"

demo/binary_classification/runexp.sh

@@ -3,10 +3,12 @@
 python mapfeat.py
 # split train and test
 python mknfold.py agaricus.txt 1
-# training
+# training and output the models
 ../../xgboost mushroom.conf
-# this is what dump will looklike without feature map
+# output prediction task=pred 
+../../xgboost mushroom.conf task=pred model_in=0003.model
+# print the boosters of 00003.model in dump.raw.txt
 ../../xgboost mushroom.conf task=dump model_in=0003.model name_dump=dump.raw.txt 
-# this is what dump will looklike with feature map
+# use the feature map in printing for better visualization
 ../../xgboost mushroom.conf task=dump model_in=0003.model fmap=featmap.txt name_dump=dump.nice.txt
 cat dump.nice.txt