---
title: "Discussion on \"Before Building a Prediction Model, Write Down When Each Feature Exists\" | Hashnode"
description: "Discussion on \"Before Building a Prediction Model, Write Down When Each Feature Exists\". A fictional delivery example explains prediction timing, future-derived features, historical aggregates and evaluation splits for beginners."
url: "https://hashnode.com/posts/before-building-a-prediction-model-write-down-when-each-feature-exists/6af46789aef0b27733889015"
---

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# [Before Building a Prediction Model, Write Down When Each Feature Exists](https://scholarlogic.hashnode.dev/before-building-a-prediction-model-write-down-when-each-feature-exists?utm_source=hashnode&utm_medium=feed)

A fictional delivery example explains prediction timing, future-derived features, historical aggregates and evaluation splits for beginners.

3h ago · 3 min read · scholarlogic.hashnode.dev  
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-   [#data-science](https://hashnode.com/tag/data-science)

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[Scholar Logic](https://hashnode.com/@scholarlogic)

@scholarlogic · Bengaluru, India

  
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