| # Data Directory | |
| This folder contains the training and test datasets for the Milk Spoilage Classification model. | |
| ## Files | |
| - `train_df.csv` - Training dataset | |
| - `test_df.csv` - Test dataset | |
| - `sensory_dat.csv` - Full sensory analysis data | |
| - `sensory_train_dat.csv` - Training sensory data | |
| - `sensory_test_dat.csv` - Test sensory data | |
| ## Data Format | |
| The datasets contain microbial count measurements: | |
| - `SPC_D7`, `SPC_D14`, `SPC_D21` - Standard Plate Count at days 7, 14, and 21 (log CFU/mL) | |
| - `TGN_D7`, `TGN_D14`, `TGN_D21` - Total Gram-Negative count at days 7, 14, and 21 (log CFU/mL) | |
| - `spoilagetype` - Target variable (PPC, no spoilage, spore spoilage) | |
| ## Usage | |
| These files are used by `scripts/prepare_model.py` to train the classification model. | |