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Cu_6MR_PBE_3NN.csv
Cu_6MR_PBE_3NN.csv
 
 
README.md
README.md
 
 
comparison_between_random_forest_and_off_ofv_Cu_6MR_PBE_3NN.csv
comparison_between_random_forest_and_off_ofv_Cu_6MR_PBE_3NN.csv
 
 
comparison_between_random_forest_and_off_ofv_Cu_6MR_PBE_3NN.xlsx
comparison_between_random_forest_and_off_ofv_Cu_6MR_PBE_3NN.xlsx
 
 
comparison_between_random_forest_and_off_ofv_toy_model.csv
comparison_between_random_forest_and_off_ofv_toy_model.csv
 
 
comparison_between_random_forest_and_off_ofv_toy_model.xlsx
comparison_between_random_forest_and_off_ofv_toy_model.xlsx
 
 
off_ofv_Cu_CHA_data_output_summary.xlsx
off_ofv_Cu_CHA_data_output_summary.xlsx
 
 
off_ofv_method.py
off_ofv_method.py
 
 
random_forest.py
random_forest.py
 
 
toy_model_example.csv
toy_model_example.csv
 
 

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OFF-FV

The Optimal Feature Finder with Optional Functional Variance (OFF-OFV) supervised machine-learning method developed by Ivan G Clayson with worked examples.

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The OFF-OFV supervised machine-learning method developed by Ivan G Clayson with worked examples.

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