Editing Talk:2048: Curve-Fitting
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The explanation for logistic curve currently says it is used for binary values. It's actually a lot more useful than that. For example, population growth is often described as a logistic curve. It appears to be climbing exponentially initially, but then tapers off as resources can no longer support the population. [[Special:Contributions/108.162.246.191|108.162.246.191]] 15:31, 8 November 2018 (UTC) | The explanation for logistic curve currently says it is used for binary values. It's actually a lot more useful than that. For example, population growth is often described as a logistic curve. It appears to be climbing exponentially initially, but then tapers off as resources can no longer support the population. [[Special:Contributions/108.162.246.191|108.162.246.191]] 15:31, 8 November 2018 (UTC) | ||
:The explanation mentions the {{w|logistic regression}} ranging between "0" and "1". It uses the more general {{w|logistic function}} you probably refer to. The ''logistic regression'' uses in its basic form a ''logistic function'' to model a ''binary'' dependent variable. Both Wikipedia links explain the difference. Honestly, I'm not an expert on that matter but that binary interpretation wouldn't allow values above "1" or below "0" as shown in the picture. Maybe worth to be mentioned. Nonetheless all other fittings are also similar nonsense. Maybe we could mention the more general {{w|Sigmoid function}} but this only barely fits to the title "Logistic Curve". --[[User:Dgbrt|Dgbrt]] ([[User talk:Dgbrt|talk]]) 23:09, 8 November 2018 (UTC) | :The explanation mentions the {{w|logistic regression}} ranging between "0" and "1". It uses the more general {{w|logistic function}} you probably refer to. The ''logistic regression'' uses in its basic form a ''logistic function'' to model a ''binary'' dependent variable. Both Wikipedia links explain the difference. Honestly, I'm not an expert on that matter but that binary interpretation wouldn't allow values above "1" or below "0" as shown in the picture. Maybe worth to be mentioned. Nonetheless all other fittings are also similar nonsense. Maybe we could mention the more general {{w|Sigmoid function}} but this only barely fits to the title "Logistic Curve". --[[User:Dgbrt|Dgbrt]] ([[User talk:Dgbrt|talk]]) 23:09, 8 November 2018 (UTC) | ||
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