File:First forgetting curve.jpg: Difference between revisions

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'''''Figure:''' The first [[Glossary:Forgetting_curve|forgetting curve]] (first [[Glossary:Repetition|repetition]] for [[Glossary:Item|items]] with no [[Glossary:Lapse|lapses]]). Unlike it was the case in earlier SuperMemos, where all [[Glossary:Forgetting_curve|forgetting curves]] were exponential, the first forgetting curve in [[What's new in SuperMemo 17?|SuperMemo 17]] is approximated using power regression. This provides for a more accurate mapping due to the heterogeneity of the learning material introduced in the learning process that results in superposition of exponential forgetting with different decay constants. The use of power regression explains why the first [[Glossary:Interval|interval]] might be slightly shorter in [[SuperMemo Algorithm|Algorithm SM-17]]. On a log scale, the regression curve is a straight line, which shows that in the presented [[Glossary:Collection|collection]] recall drops to only to 58%, which can be explained by a high reuse of the memorized knowledge in real life. In earlier SuperMemos, recall data would only be collected in the span of 20 days, and negatively exponential [[Glossary:Forgetting_curve|forgetting curve]] would make for far lower retrievability predictions. The first [[Glossary:Optimum_interval|optimum interval]] for the [[Glossary:Forgetting_index|forgetting index]] of 10% is 3.76 days. The [[Glossary:Forgetting_curve|forgetting curve]] can be described with the formula R=0.987*power(interval,-0.07) which yields 89.5% at 4 days. Over 300,000 repetition cases were used to plot the presented graph. Steeper drop in recall will occur in [[Glossary:Collection|collections]] with a higher mix of difficult [[Glossary:Item|items]], in poorly formulated [[Glossary:Collection|collections]], or in new users with lesser mnemonic skills.''
'''''Figure:''' The first [[Glossary:Forgetting_curve|forgetting curve]] (first [[Glossary:Repetition|repetition]] for [[Glossary:Item|items]] with no [[Glossary:Lapse|lapses]]). Unlike it was the case in earlier SuperMemos, where all [[Glossary:Forgetting_curve|forgetting curves]] were exponential, the first forgetting curve in [[What's new in SuperMemo 17?|SuperMemo 17]] is approximated using power regression. This provides for a more accurate mapping due to the heterogeneity of the learning material introduced in the learning process that results in superposition of exponential forgetting with different decay constants. The use of power regression explains why the first [[Glossary:Interval|interval]] might be slightly shorter in [[SuperMemo Algorithm|Algorithm SM-17]]. On a log scale, the regression curve is a straight line, which shows that in the presented [[Glossary:Collection|collection]] recall drops only to 58%, which can be explained by a high reuse of the memorized knowledge in real life. In earlier SuperMemos, recall data would only be collected in the span of 20 days, and negatively exponential [[Glossary:Forgetting_curve|forgetting curve]] would make for far lower retrievability predictions. The first [[Glossary:Optimum_interval|optimum interval]] for the [[Glossary:Forgetting_index|forgetting index]] of 10% is 3.76 days. The [[Glossary:Forgetting_curve|forgetting curve]] can be described with the formula R=0.987*power(interval,-0.07) which yields 89.5% at 4 days. Over 300,000 repetition cases were used to plot the presented graph. Steeper drop in recall will occur in [[Glossary:Collection|collections]] with a higher mix of difficult [[Glossary:Item|items]], in poorly formulated [[Glossary:Collection|collections]], or in new users with lesser mnemonic skills.''
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Revision as of 15:37, 10 May 2016

Figure: The first forgetting curve (first repetition for items with no lapses). Unlike it was the case in earlier SuperMemos, where all forgetting curves were exponential, the first forgetting curve in SuperMemo 17 is approximated using power regression. This provides for a more accurate mapping due to the heterogeneity of the learning material introduced in the learning process that results in superposition of exponential forgetting with different decay constants. The use of power regression explains why the first interval might be slightly shorter in Algorithm SM-17. On a log scale, the regression curve is a straight line, which shows that in the presented collection recall drops only to 58%, which can be explained by a high reuse of the memorized knowledge in real life. In earlier SuperMemos, recall data would only be collected in the span of 20 days, and negatively exponential forgetting curve would make for far lower retrievability predictions. The first optimum interval for the forgetting index of 10% is 3.76 days. The forgetting curve can be described with the formula R=0.987*power(interval,-0.07) which yields 89.5% at 4 days. Over 300,000 repetition cases were used to plot the presented graph. Steeper drop in recall will occur in collections with a higher mix of difficult items, in poorly formulated collections, or in new users with lesser mnemonic skills.

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