data/README.md

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.