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README.md
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## Usage (not pre-split; optimal parameters)
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Here is an example of how to load the dataset using PrismRCL:
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```bash
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C:\PrismRCL\PrismRCL.exe chisquared rclticks=15 boxdown=0 channelpick=5 data=C:\path\to\Cancer_Documents_Classification_mm testsize=0.1 savemodel=C:\path\to\models\mymodel.classify log=C:\path\to\log_files stopwhendone
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Explanation:
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- `C:\PrismRCL\PrismRCL.exe`: classification
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- `chisquared`: training evaluation method
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- `rclticks=15`: RCL training
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- `boxdown=0`:
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## License
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This dataset is licensed under the Creative Commons Attribution 4.0 International License. See the LICENSE file for more details.
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## Usage (not pre-split; optimal parameters)
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Here is an example of how to load the dataset using PrismRCL:
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```bash
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C:\PrismRCL\PrismRCL.exe chisquared rclticks=15 boxdown=0 channelpick=5 data=C:\path\to\Cancer_Documents_Classification_mm testsize=0.1 savemodel=C:\path\to\models\mymodel.classify log=C:\path\to\log_files stopwhendone
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```
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Explanation of Command:
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- `C:\PrismRCL\PrismRCL.exe`: Path to the PrismRCL executable for classification
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- `chisquared`: Specifies Chi-squared as the training evaluation method
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- `rclticks=15`: Sets the number of RCL iterations during training to 15
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- `boxdown=0`: Configuration parameter for training behavior
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- `channelpick=5`: RCL training parameter
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- `data=C:\path\to\Cancer_Documents_Classification_mm`: Path to the complete dataset for Cancer Documents Classification
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- `testsize=0.1`: Specifies that 10% of the data should be used for testing
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- `savemodel=C:\path\to\models\mymodel.classify`: Path to save the resulting trained model
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- `log=C:\path\to\log_files`: Directory path for storing log files of the training process
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- `stopwhendone`: Instructs PrismRCL to end the session once training is complete
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## License
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This dataset is licensed under the Creative Commons Attribution 4.0 International License. See the LICENSE file for more details.
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