FINAL PROJECT EVALUATION

Time Series Analysis and Forecasting · EP16.TOKT11122 · Spring 2026

1. Problem Formulation & Motivation

/2.0
2.0 1.5 1.0 0.5 0
Macro framing Societal framing Practical framing Challenge stated
Notes:

2. Methodology & Technical Depth

/2.0
2.0 1.5 1.0 0.5 0
Classical baseline (ARIMA/SARIMA) ML model (RF/XGBoost) DL model (LSTM/CNN) Temporal split (no leakage) Order/hyperparams justified
Notes:

3. Results, Comparison & Analysis

/2.0
2.0 1.5 1.0 0.5 0
Comparison table (MAE/RMSE) Forecast plots Explains why model wins Limitations stated Future work mentioned
Notes:

4. Report Quality & Scientific Writing

/2.0
2.0 1.5 1.0 0.5 0
IMRAD structure Labeled figures + captions Code submitted & organized Concise writing References cited
Notes:

5. Presentation & Communication

/2.0
2.0 1.5 1.0 0.5 0
Within time (10–15 min) Source code link in slides Clean slides (1 msg/slide) Q&A handled well All members contribute
Notes:
TOTAL SCORE
/ 10

Overall Comments: