Update README.md

README.md

@@ -37,18 +37,19 @@ Haberman-Survival/
     - `class_1`: Patients who survived 5 years or longer.
     - `class_2`: Patients who did not survive 5 years.
 
-## Usage
+## Usage(pre-split; optimal parameters)
 Here is an example of how to load the dataset using PrismRCL:
 
 ```bash
-C:\PrismRCL\PrismRCL.exe chisquared rclticks=10 boxdown=0 data=C:\path\to\Haberman-Survival\train testdata=C:\path\to\Haberman-Survival\test savemodel=C:\path\to\models\mymodel.classify log=C:\path\to\log_files stopwhendone```
+C:\PrismRCL\PrismRCL.exe naivebayes rclticks=18 boxdown=1 channelpick=5 data=C:\path\to\Haberman-Survival\train_data testdata=C:\path\to\Haberman-Survival\test_data savemodel=C:\path\to\models\mymodel.classify log=C:\path\to\log_files stopwhendone
 
 Explanation of Command
 
   C:\PrismRCL\PrismRCL.exe: classification application
   chisquared: training evaluation method
-  rclticks=10: RCL training parameter
-  boxdown=0: RCL training parameter
+  rclticks=18: RCL training parameter
+  boxdown=1: RCL training parameter
+  channelpick=5 : RCL training parameter
   data=C:\path\to\Haberman-Survival\train: path to training data
   testdata=C:\path\to\Haberman-Survival\test: path to testing data
   savemodel=C:\path\to\models\mymodel.classify: path to save resulting model