Rubric Coverage
Each grading criterion mapped to the page in this app and the slide in the submission deck that evidences it.
Shape, dtypes, statistical summary, duplicate and missing-value checks, target balance
Distributions for all 40 predictors with written observations
Outcome-split distributions, correlation with the target, correlation heatmap, outlier scan
Median imputation, scaling, stratified split, class weights — all fitted on training data only
Recall justified from the replacement ≫ repair > inspection cost ordering
Single hidden layer, SGD, full train/validation metrics and underfitting diagnosis
Ten configurations across depth, optimizer, dropout, class weights and oversampling
Candidate comparison, selection rationale, architecture, test-set confusion matrix and ROC
Deployment playbook, threshold policy, instrumentation, human review, retraining
Interpretability, snapshot data, cost assumptions, missed failures, drift and fairness
Data background, model assumptions, imbalance comparison, seed 42 throughout