I would greatly appreciate if you could let me know what to report in the following steps of CRISP-DM?
- Build Model: what should be reported for parameter settings, models and model description? I used grid search to tune hyperparameters.
- Assess Model: what should be reported for model assessment and revised parameter settings?
- Evaluate Results: what should be reported for assessment of data mining results?
In fact, I used just Logistic regression to do a classification task using a procedure like what is depicted below:
Could the final model evaluation on test data set be considered as a part of Evaluate Results or it should be done on new data?