chore: Run some experiments

examples/pipeline.py

@@ -11,7 +11,7 @@ def datetime_from_string(datetime_string: str) -> datetime:
     historical_data_starting_from = datetime_from_string("2021-10-01")
     historical_data_ending_at = datetime_from_string("2021-10-10")
     streaming_data_starting_from = datetime_from_string("2021-10-10")
-    streaming_data_ending_at = datetime_from_string("2021-11-01")
+    streaming_data_ending_at = datetime_from_string("2022-11-01")
     time_interval = 60
     active_strategy = True
     cdd_strategy = DDM(

experiments/ex-m-xgb-s-xgb_model-2023-12-31_21-53-53/README.md

@@ -0,0 +1,28 @@
+
+# Experiment: m-xgb-s-xgb_model
+
+## Parameters
+- Historical data starting from: 2021-10-01 00:00:00
+- Historical data ending at: 2021-10-10 00:00:00
+- Streaming data starting from: 2021-10-10 00:00:00
+- Streaming data ending at: 2022-11-01 00:00:00
+- Time interval: 60
+- Concept drift detection strategy: ACTIVE
+- Concept drift detection algorithm: DDM
+- DDM:
+
+| Attribute | Value |
+|---|---|
+| Warning Level Factor | 2.0 |
+| Drift Level Factor | 3.0 |
+| Minimum Numbers of Instances to Start Looking for Changes | 5 |
+
+
+## Results
+### Model Performance Metrics
+| Model                               | MAE (s)   | MAPE (%)   | RMSE (s)   |
+|-------------------------------------|-----------|------------|------------|
+| Base Model (XGBoost)                 | 10.973392029746565 | 58.004968550866124 | 18.700606886616313 |
+| Base Model with Incremental Learning | 1.9168827846573362      | 7.7964432257389875      | 6.748026876510337      |
+
+