Expense Categorization Model Metrics

Model Training
Sample Size

Enhanced Model (Ensemble)

This model uses an ensemble of multiple algorithms for better accuracy but slower training.

Category Accuracy

82.03%

F1 Score

82.11%

Avg Subcategory Accuracy

90.38%

Training Time

3.33 min

Category Model Performance
Metric Value
Accuracy 82.03%
Precision 82.53%
Recall 82.03%
F1 Score 82.11%
Individual Model Performance
# Model Accuracy Precision Recall F1 Score
1 RandomForestClassifier 61.27% 71.15% 61.27% 63.10%
2 GradientBoostingClassifier 81.78% 82.52% 81.78% 81.89%
3 LogisticRegression 79.05% 79.69% 79.05% 79.26%
Top Performing Categories
Categories by Subcategory Count
Model Performance History
Date Type Accuracy F1 Score
2025-07-07 09:36:56 (Current) ensemble 82.03% 82.11%
2025-07-06 23:34:43 ensemble 82.03% 82.11%
2025-07-06 19:11:12 ensemble 82.03% 82.11%
2025-07-06 16:39:25 ensemble 82.03% 82.11%
2025-07-05 16:09:18 ensemble 82.03% 82.11%
Subcategory Accuracy by Category
Top 5 Performing Categories
Category Accuracy
Legal & Professional Services 96.77%
Personal Care & Grooming 95.29%
Leisure & Entertainment 94.38%
Shopping 93.55%
Health & Fitness 92.86%
Bottom 5 Performing Categories
Category Accuracy
Travel & Vacation 86.96%
Education & Learning 86.32%
Transportation 85.37%
Gifts & Donations 84.88%
Pets & Animal Care 83.72%