Update README.md

README.md

@@ -35,18 +35,19 @@ Glass-Identification/
 - **Tabular Data**: Each text file contains space-separated values representing the features of a sample.
 - **Classes**: There are multiple classes, each represented by a separate folder based on the type of glass.
 
-## 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\Glass-Identification\train_data testdata=C:\path\to\Glass-Identification\test_data savemodel=C:\path\to\models\mymodel.classify log=C:\path\to\log_files stopwhendone
+C:\PrismRCL\PrismRCL.exe chisquared rclticks=18 boxdown=1 channelpick=5 data=C:\path\to\Glass-Identification\train_data testdata=C:\path\to\Glass-Identification\test_data savemodel=C:\path\to\models\mymodel.classify log=C:\path\to\log_files stopwhendone
 ```
 
 Explanation:
 - `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\Glass-Identification\train_data`: path to training data
 - `testdata=C:\path\to\Glass-Identification\test_data`: path to testing data
 - `savemodel=C:\path\to\models\mymodel.classify`: path to save resulting model