Reconstruct the prediction-time report

Move the prediction earlier

The sensor export contains measurements from after the repair decision. Botie must restrict the prediction to evidence available at its cutoff.

BOTIE

The cutoff is hour 8 and availability times are [6, 8, 10, 14]. Which measurements may enter this prediction?

The inputs we are comparing

Availability hours

Noon prediction

Earlier prediction

Prediction cutoff hour

Noon prediction

Earlier prediction

Corresponding measurements

Noon prediction

Earlier prediction

Result for noon prediction

Choose an explanation to test

Only the first measurement, because hour 8 is too lateEvery measurement in the export, because it is available nowThe first two measurements, including the one available exactly at hour 8

The export is not in time order

This check uses the pieces from “Keep evidence on the available side of the cutoff”.

BOTIE

The export mixes late and early records, with two measurements available exactly at the cutoff. Predict the values that were available for the prediction, preserving export order.

Availability hours: 014
17
210
310
Prediction cutoff hour: 10
Corresponding measurements: 099
112
217
318

What result should your machine produce for this case?

Use a number, text, or an array matching the requested result. For a matrix, put each row in brackets. Saving your prediction runs your current construction on these inputs and checks the earlier examples too.

Build a construction in the workspace above first. This case will test those pieces.

Why can a highly predictive measurement still be unusable, and what timing details would a real export need beyond whole hours?

Your notes for later. These stay with this journey.

Define the prediction moment before choosing features, then track when each feature truly becomes available.

Times are simplified whole hours. A real system also needs dates, time zones, ingestion delays, and update history.

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