IB Computer Science (CS) SL Extended Essay Example

Your investigation has a clear, well-bounded topic and the comparison of three named models gives the report a strong sense of purpose.

You explain the dataset and the modelling steps with enough clarity that the reader can follow how the prediction task was set up.

You show awareness of feature leakage and the need to use pre-fight information, which strengthens the overall design of the study.

The research question would be stronger if you defined in advance what would count as meaningful predictive success.

Some parts of the method still leave room for uncertainty about whether the predictors were fully valid for a true pre-fight prediction task.

The preprocessing and validation process needed to be more tightly controlled and explained.

You use a good range of machine-learning terminology accurately, including key ideas such as data leakage, cross-validation, precision, recall, and F1 score.

You show sound understanding of supervised classification and explain why accuracy alone is not always enough.

Your explanations are generally accessible while still using appropriate technical vocabulary.

A few technical explanations are simplified or occasionally imprecise, especially where model details and hyperparameters are discussed.

Some parts of the discussion do not stay fully aligned with the final model setup, which weakens precision.

The source base leans more toward general explanations than deeper technical or subject-specific evidence.