A finished DBA-833 Topic 7 out-of-sample evaluation report example, judging a machine-failure model on an untouched test period with cost-matched measures, calibration and a comparison against scheduled maintenance. Searches like "dba 833 topic 7 assignment example", "dba833 topic 7 sample" and "dba-833 topic 7 example" land here.
What a finished DBA-833 Topic 7 out-of-sample evaluation report looks like
The finished report opens with the test conditions: the final months of sensor and maintenance records, sealed since the protocol was written and opened once. It then explains its choice of measures. A missed failure stops a line and spoils material in progress, while a false alarm sends a technician to a healthy machine, so the report weighs the two errors unequally and fixes the alert threshold from that weighting on validation data before the test is opened. Performance at that threshold is reported as failures caught, failures missed and needless visits. Area under the ROC curve appears only as a secondary figure, with Hand's critique that it averages over cost trade-offs no plant faces. Calibration is shown because planners schedule by probability. The model is also compared with the current fixed maintenance calendar, the alternative it must beat.
How a DBA-833 Topic 7 example is structured
The report has seven parts, arranged so that choices come before results. The first restates the decision, whether to send a technician to a given machine this week, and the two errors that decision can make. The second records how the unequal weighting of those errors was set with the plant manager and fixed before testing. A third part describes the sealed test period and confirms it was opened once, on a stated date. Fourth come the results at the chosen threshold, with bootstrap intervals so a reader can see how much the counts might vary. The fifth part shows calibration, setting predicted failure probabilities beside observed failure rates. In the sixth, the model is compared with the fixed maintenance calendar over the same months. The report closes by listing what the test cannot show, including performance on machine models the plant has not yet installed.
The sealed period opened once
The test months were set aside when the protocol was written, and the report records the single date on which the model scored them.
Error weights agreed with the plant
A missed failure and a needless technician visit are weighted unequally, and the weighting was settled with the plant manager before any test result existed.
Threshold fixed on validation data
The alert threshold comes from the agreed weighting applied to validation months, so the test measures a finished rule rather than one adjusted after viewing results.
AUC demoted to a secondary figure
Following Hand, the report treats the area under the curve as a summary that averages over cost trade-offs the plant never faces, and decides nothing by it.
Probabilities checked against observed failures
Planners use predicted probabilities to order each day's visits, so the report tests whether machines given a high probability actually failed at that rate.
The maintenance calendar as the rival
The model must outperform the fixed schedule the plant already follows, measured over the same test months, or it offers the plant nothing new.
Where marks go in DBA-833 Topic 7
Reports lose ground quickly when they choose the measure after seeing the test results, since almost any model looks good on some figure. Leading with accuracy on a rare-failure problem hides how many breakdowns the model missed. Papers that report area under the curve as the verdict answer a question nobody at the plant asked, because the plant operates at one threshold with one set of costs. Setting that threshold on the test data turns the final evaluation into more tuning. Calibration is often skipped, and planners who schedule by probability are misled when machines labeled high risk fail far less often than stated. Results reported without any measure of uncertainty invite a reader to trust small differences. A model never compared with the plant's existing maintenance calendar has not shown that it improves on anything.
Get a DBA-833 Topic 7 example written to your instructions
Send the DBA-833 Topic 7 instructions and your classroom rubric, with the model, test data or evaluation case your section is working from. A custom example follows, written to those criteria, with measures chosen from error costs, the threshold fixed before testing, calibration shown, uncertainty reported and existing practice compared, delivered in 24 to 48 hours. The first is free.
DBA-833 Topic 7 questions, answered
Why not judge the model by its AUC?
Because AUC summarizes performance across every possible threshold, while the plant will run the model at one. Two models can have similar AUC values and perform very differently at the threshold that matters. Hand also argued that AUC implicitly weighs errors differently for different models, which makes comparisons between them harder to interpret. The example reports AUC for reference and decides on counts at the chosen threshold.
What does calibration add to an evaluation?
It checks whether predicted probabilities mean what they say. A model can rank machines correctly, putting riskier ones first, and still state a probability of failure far above or below what actually occurs. Where planners use the probability itself, to decide how many technicians to schedule or which line to stop, miscalibration misleads them even when the ranking is sound. The example sets predicted against observed rates.
Can the test period be reused after this report?
Not as an untouched test. Once results have been seen, any change made in response to them turns the same data into another validation set. A later model should be judged on records collected after this report was written. The example records the opening date so a reader can confirm the sequence, and the manufacturer exists only for this DBA-833 exercise.