M.S. Applied Data Science - Capstone Chronicles 2025

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Tables Table 1​ Final Model Test Results Summary

Model

Accuracy Precision (Macro)

Precision (Wtd)

Recall (Macro)

Recall (Wtd)

F1 (Macro)

F1 (Wtd)

LightGBM

0.780

0.643

0.845

0.761

0.780

0.633

0.796

Random Forest

0.779

0.640

0.845

0.751

0.779

0.629

0.795

CatBoost

0.778

0.641

0.847

0.758

0.778

0.630

0.795

AdaBoost

0.682

0.514

0.674

0.521

0.682

0.481

0.673

XGBoost

0.779

0.641

0.845

0.758

0.779

0.630

0.796

Logistic Regression

0.552

0.345

0.624

0.343

0.552

0.282

0.559

Linear SVC

0.705

0.552

0.819

0.613

0.705

0.528

0.727

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