Glossary:R-Metric - Revision history

https://help18.whiz.me/index.php?action=history&feed=atom&title=Glossary%3AR-Metric Glossary:R-Metric - Revision history 2026-06-17T12:14:30Z Revision history for this page on the wiki MediaWiki 1.43.0 https://help18.whiz.me/index.php?title=Glossary:R-Metric&diff=10536&oldid=prev SuperMemoHelp at 19:39, 12 April 2019 2019-04-12T19:39:28Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 15:39, 12 April 2019</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1">Line 1:</td> <td colspan="2" class="diff-lineno">Line 1:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>;<span id="R-Metric">R-Metric</span> (Recall Metric)</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>;<span id="R-Metric">R-Metric</span> (Recall Metric)</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>:[[File:Recall_metric.jpg|thumb|SuperMemo 18 performance metric]]absolute measure of performance of two [[Glossary:Spaced_repetition|spaced repetition]] algorithms based on their ability to predict recall before a [[Glossary:Grade|grade]] is scored. In [[What's new in SuperMemo 18?|SuperMemo 18]], '''R-Metric''' is used solely to compare [https://supermemo.guru/wiki/Algorithm_SM-15 Algorithm SM-15] (known from SuperMemo 16) and the new [https://supermemo.guru/wiki/Algorithm_SM-18 Algorithm SM-18]. It is shown as percentage in '''Statistics''' and '''[[Toolkit menu|Toolkit]] : [[Toolkit menu#Statistics|Statistics]] : [[Analysis]] : [[Analysis#Use|Use]] : Efficiency : [[Analysis#Use_:_Efficiency_:_R-Metric|R-Metric]]'''. '''R-Metric''' is a difference between the performance of the two algorithms: <code>R-Metric=LSRM(Alg-15)-LSRM(Alg-18)</code>, where <code>LSRM</code> is the least squares predicted recall measure for a given algorithm. '''R-Metric''' greater than zero shows superiority of [https://supermemo.guru/wiki/Algorithm_SM-18 Algorithm SM-18]. '''R-Metric''' less than zero indicates underperformance of the new algorithm. <code>LSRM</code> is a square root of the average of squared absolute differences in recall predictions: <code>abs(Recall-PredictedRecall)</code>, where <code>Recall</code> is 0 for failing [[Glossary:Grade|grades]] and <code>Recall</code> is 1 for passing grades. <code>PredictedRecall</code> is a prediction issued by the algorithm before the [[Glossary:Repetition|repetition]]. In [https://supermemo.guru/wiki/Algorithm_SM-18 Algorithm SM-18], the prediction is a weighted average of the value taken from the [[Glossary:Recall_matrix|Recall[] matrix]], and [[Glossary:Retrievability|R (retrievability)]] computed from [[Glossary:Stability|S (stability)]] and the used [[Glossary:Interval|interval]]. The weight used is based on prior repetition cases which inform of the significance of the Recall[] matrix prediction (the prediction becomes more meaningful with more prior repetition data)</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>:[[File:Recall_metric.jpg|thumb|SuperMemo<ins style="font-weight: bold; text-decoration: none;">: Algorithm SM-</ins>18 performance metric]]absolute measure of performance of two [[Glossary:Spaced_repetition|spaced repetition]] algorithms based on their ability to predict recall before a [[Glossary:Grade|grade]] is scored. In [[What's new in SuperMemo 18?|SuperMemo 18]], '''R-Metric''' is used solely to compare [https://supermemo.guru/wiki/Algorithm_SM-15 Algorithm SM-15] (known from SuperMemo 16) and the new [https://supermemo.guru/wiki/Algorithm_SM-18 Algorithm SM-18]. It is shown as percentage in '''Statistics''' and '''[[Toolkit menu|Toolkit]] : [[Toolkit menu#Statistics|Statistics]] : [[Analysis]] : [[Analysis#Use|Use]] : Efficiency : [[Analysis#Use_:_Efficiency_:_R-Metric|R-Metric]]'''. '''R-Metric''' is a difference between the performance of the two algorithms: <code>R-Metric=LSRM(Alg-15)-LSRM(Alg-18)</code>, where <code>LSRM</code> is the least squares predicted recall measure for a given algorithm. '''R-Metric''' greater than zero shows superiority of [https://supermemo.guru/wiki/Algorithm_SM-18 Algorithm SM-18]. '''R-Metric''' less than zero indicates underperformance of the new algorithm. <code>LSRM</code> is a square root of the average of squared absolute differences in recall predictions: <code>abs(Recall-PredictedRecall)</code>, where <code>Recall</code> is 0 for failing [[Glossary:Grade|grades]] and <code>Recall</code> is 1 for passing grades. <code>PredictedRecall</code> is a prediction issued by the algorithm before the [[Glossary:Repetition|repetition]]. In [https://supermemo.guru/wiki/Algorithm_SM-18 Algorithm SM-18], the prediction is a weighted average of the value taken from the [[Glossary:Recall_matrix|Recall[] matrix]], and [[Glossary:Retrievability|R (retrievability)]] computed from [[Glossary:Stability|S (stability)]] and the used [[Glossary:Interval|interval]]. The weight used is based on prior repetition cases which inform of the significance of the Recall[] matrix prediction (the prediction becomes more meaningful with more prior repetition data)</div></td></tr> </table>

SuperMemoHelp https://help18.whiz.me/index.php?title=Glossary:R-Metric&diff=10534&oldid=prev SuperMemoHelp at 19:37, 12 April 2019 2019-04-12T19:37:26Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 15:37, 12 April 2019</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1">Line 1:</td> <td colspan="2" class="diff-lineno">Line 1:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>;<span id="R-Metric">R-Metric</span> (Recall Metric)</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>;<span id="R-Metric">R-Metric</span> (Recall Metric)</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>:[[File:<del style="font-weight: bold; text-decoration: none;">Daily Algorithm SM-17 performance metric</del>.jpg|thumb|SuperMemo 18 performance metric]]absolute measure of performance of two [[Glossary:Spaced_repetition|spaced repetition]] algorithms based on their ability to predict recall before a [[Glossary:Grade|grade]] is scored. In [[What's new in SuperMemo 18?|SuperMemo 18]], '''R-Metric''' is used solely to compare [https://supermemo.guru/wiki/Algorithm_SM-15 Algorithm SM-15] (known from SuperMemo 16) and the new [https://supermemo.guru/wiki/Algorithm_SM-18 Algorithm SM-18]. It is shown as percentage in '''Statistics''' and '''[[Toolkit menu|Toolkit]] : [[Toolkit menu#Statistics|Statistics]] : [[Analysis]] : [[Analysis#Use|Use]] : Efficiency : [[Analysis#Use_:_Efficiency_:_R-Metric|R-Metric]]'''. '''R-Metric''' is a difference between the performance of the two algorithms: <code>R-Metric=LSRM(Alg-15)-LSRM(Alg-18)</code>, where <code>LSRM</code> is the least squares predicted recall measure for a given algorithm. '''R-Metric''' greater than zero shows superiority of [https://supermemo.guru/wiki/Algorithm_SM-18 Algorithm SM-18]. '''R-Metric''' less than zero indicates underperformance of the new algorithm. <code>LSRM</code> is a square root of the average of squared absolute differences in recall predictions: <code>abs(Recall-PredictedRecall)</code>, where <code>Recall</code> is 0 for failing [[Glossary:Grade|grades]] and <code>Recall</code> is 1 for passing grades. <code>PredictedRecall</code> is a prediction issued by the algorithm before the [[Glossary:Repetition|repetition]]. In [https://supermemo.guru/wiki/Algorithm_SM-18 Algorithm SM-18], the prediction is a weighted average of the value taken from the [[Glossary:Recall_matrix|Recall[] matrix]], and [[Glossary:Retrievability|R (retrievability)]] computed from [[Glossary:Stability|S (stability)]] and the used [[Glossary:Interval|interval]]. The weight used is based on prior repetition cases which inform of the significance of the Recall[] matrix prediction (the prediction becomes more meaningful with more prior repetition data)</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>:[[File:<ins style="font-weight: bold; text-decoration: none;">Recall_metric</ins>.jpg|thumb|SuperMemo 18 performance metric]]absolute measure of performance of two [[Glossary:Spaced_repetition|spaced repetition]] algorithms based on their ability to predict recall before a [[Glossary:Grade|grade]] is scored. In [[What's new in SuperMemo 18?|SuperMemo 18]], '''R-Metric''' is used solely to compare [https://supermemo.guru/wiki/Algorithm_SM-15 Algorithm SM-15] (known from SuperMemo 16) and the new [https://supermemo.guru/wiki/Algorithm_SM-18 Algorithm SM-18]. It is shown as percentage in '''Statistics''' and '''[[Toolkit menu|Toolkit]] : [[Toolkit menu#Statistics|Statistics]] : [[Analysis]] : [[Analysis#Use|Use]] : Efficiency : [[Analysis#Use_:_Efficiency_:_R-Metric|R-Metric]]'''. '''R-Metric''' is a difference between the performance of the two algorithms: <code>R-Metric=LSRM(Alg-15)-LSRM(Alg-18)</code>, where <code>LSRM</code> is the least squares predicted recall measure for a given algorithm. '''R-Metric''' greater than zero shows superiority of [https://supermemo.guru/wiki/Algorithm_SM-18 Algorithm SM-18]. '''R-Metric''' less than zero indicates underperformance of the new algorithm. <code>LSRM</code> is a square root of the average of squared absolute differences in recall predictions: <code>abs(Recall-PredictedRecall)</code>, where <code>Recall</code> is 0 for failing [[Glossary:Grade|grades]] and <code>Recall</code> is 1 for passing grades. <code>PredictedRecall</code> is a prediction issued by the algorithm before the [[Glossary:Repetition|repetition]]. In [https://supermemo.guru/wiki/Algorithm_SM-18 Algorithm SM-18], the prediction is a weighted average of the value taken from the [[Glossary:Recall_matrix|Recall[] matrix]], and [[Glossary:Retrievability|R (retrievability)]] computed from [[Glossary:Stability|S (stability)]] and the used [[Glossary:Interval|interval]]. The weight used is based on prior repetition cases which inform of the significance of the Recall[] matrix prediction (the prediction becomes more meaningful with more prior repetition data)</div></td></tr> </table>

SuperMemoHelp https://help18.whiz.me/index.php?title=Glossary:R-Metric&diff=10533&oldid=prev SuperMemoHelp at 19:36, 12 April 2019 2019-04-12T19:36:51Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 15:36, 12 April 2019</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1">Line 1:</td> <td colspan="2" class="diff-lineno">Line 1:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>;<span id="R-Metric">R-Metric</span> (Recall Metric)</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>;<span id="R-Metric">R-Metric</span> (Recall Metric)</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>:absolute measure of performance of two [[Glossary:Spaced_repetition|spaced repetition]] algorithms based on their ability to predict recall before a [[Glossary:Grade|grade]] is scored. In [[What's new in SuperMemo 18?|SuperMemo 18]], '''R-Metric''' is used solely to compare [https://supermemo.guru/wiki/Algorithm_SM-15 Algorithm SM-15] (known from SuperMemo 16) and the new [https://supermemo.guru/wiki/Algorithm_SM-18 Algorithm SM-18]. It is shown as percentage in '''Statistics''' and '''[[Toolkit menu|Toolkit]] : [[Toolkit menu#Statistics|Statistics]] : [[Analysis]] : [[Analysis#Use|Use]] : Efficiency : [[Analysis#Use_:_Efficiency_:_R-Metric|R-Metric]]'''. '''R-Metric''' is a difference between the performance of the two algorithms: <code>R-Metric=LSRM(Alg-15)-LSRM(Alg-18)</code>, where <code>LSRM</code> is the least squares predicted recall measure for a given algorithm. '''R-Metric''' greater than zero shows superiority of [https://supermemo.guru/wiki/Algorithm_SM-18 Algorithm SM-18]. '''R-Metric''' less than zero indicates underperformance of the new algorithm. <code>LSRM</code> is a square root of the average of squared absolute differences in recall predictions: <code>abs(Recall-PredictedRecall)</code>, where <code>Recall</code> is 0 for failing [[Glossary:Grade|grades]] and <code>Recall</code> is 1 for passing grades. <code>PredictedRecall</code> is a prediction issued by the algorithm before the [[Glossary:Repetition|repetition]]. In [https://supermemo.guru/wiki/Algorithm_SM-18 Algorithm SM-18], the prediction is a weighted average of the value taken from the [[Glossary:Recall_matrix|Recall[] matrix]], and [[Glossary:Retrievability|R (retrievability)]] computed from [[Glossary:Stability|S (stability)]] and the used [[Glossary:Interval|interval]]. The weight used is based on prior repetition cases which inform of the significance of the Recall[] matrix prediction (the prediction becomes more meaningful with more prior repetition data)</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>:<ins style="font-weight: bold; text-decoration: none;">[[File:Daily Algorithm SM-17 performance metric.jpg|thumb|SuperMemo 18 performance metric]]</ins>absolute measure of performance of two [[Glossary:Spaced_repetition|spaced repetition]] algorithms based on their ability to predict recall before a [[Glossary:Grade|grade]] is scored. In [[What's new in SuperMemo 18?|SuperMemo 18]], '''R-Metric''' is used solely to compare [https://supermemo.guru/wiki/Algorithm_SM-15 Algorithm SM-15] (known from SuperMemo 16) and the new [https://supermemo.guru/wiki/Algorithm_SM-18 Algorithm SM-18]. It is shown as percentage in '''Statistics''' and '''[[Toolkit menu|Toolkit]] : [[Toolkit menu#Statistics|Statistics]] : [[Analysis]] : [[Analysis#Use|Use]] : Efficiency : [[Analysis#Use_:_Efficiency_:_R-Metric|R-Metric]]'''. '''R-Metric''' is a difference between the performance of the two algorithms: <code>R-Metric=LSRM(Alg-15)-LSRM(Alg-18)</code>, where <code>LSRM</code> is the least squares predicted recall measure for a given algorithm. '''R-Metric''' greater than zero shows superiority of [https://supermemo.guru/wiki/Algorithm_SM-18 Algorithm SM-18]. '''R-Metric''' less than zero indicates underperformance of the new algorithm. <code>LSRM</code> is a square root of the average of squared absolute differences in recall predictions: <code>abs(Recall-PredictedRecall)</code>, where <code>Recall</code> is 0 for failing [[Glossary:Grade|grades]] and <code>Recall</code> is 1 for passing grades. <code>PredictedRecall</code> is a prediction issued by the algorithm before the [[Glossary:Repetition|repetition]]. In [https://supermemo.guru/wiki/Algorithm_SM-18 Algorithm SM-18], the prediction is a weighted average of the value taken from the [[Glossary:Recall_matrix|Recall[] matrix]], and [[Glossary:Retrievability|R (retrievability)]] computed from [[Glossary:Stability|S (stability)]] and the used [[Glossary:Interval|interval]]. The weight used is based on prior repetition cases which inform of the significance of the Recall[] matrix prediction (the prediction becomes more meaningful with more prior repetition data)</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div> </div></td><td colspan="2" class="diff-side-added"></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">[[File:Daily Algorithm SM-17 performance metric.jpg|100px|thumb|center|SuperMemo 18 performance metric]]</del></div></td><td colspan="2" class="diff-side-added"></td></tr> </table>

SuperMemoHelp https://help18.whiz.me/index.php?title=Glossary:R-Metric&diff=10432&oldid=prev SuperMemoHelp at 07:36, 3 April 2019 2019-04-03T07:36:55Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 03:36, 3 April 2019</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1">Line 1:</td> <td colspan="2" class="diff-lineno">Line 1:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>;<span id="R-Metric">R-Metric</span> (Recall Metric)</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>;<span id="R-Metric">R-Metric</span> (Recall Metric)</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>:absolute measure of performance of two [[Glossary:Spaced_repetition|spaced repetition]] algorithms based on their ability to predict recall before a [[Glossary:Grade|grade]] is scored. In [[What's new in SuperMemo <del style="font-weight: bold; text-decoration: none;">17</del>?|SuperMemo <del style="font-weight: bold; text-decoration: none;">17</del>]], '''R-Metric''' is used solely to compare [https://supermemo.guru/wiki/Algorithm_SM-15 Algorithm SM-15] (known from SuperMemo 16) and the new [https://supermemo.guru/wiki/Algorithm_SM-<del style="font-weight: bold; text-decoration: none;">17 </del>Algorithm SM-<del style="font-weight: bold; text-decoration: none;">17</del>]. It is shown as percentage in '''Statistics''' and '''[[Toolkit menu|Toolkit]] : [[Toolkit menu#Statistics|Statistics]] : [[Analysis]] : [[Analysis#Use|Use]] : Efficiency : [[Analysis#Use_:_Efficiency_:_R-Metric|R-Metric]]'''. '''R-Metric''' is a difference between the performance of the two algorithms: <code>R-Metric=LSRM(Alg-15)-LSRM(Alg-<del style="font-weight: bold; text-decoration: none;">17</del>)</code>, where <code>LSRM</code> is the least squares predicted recall measure for a given algorithm. '''R-Metric''' greater than zero shows superiority of [https://supermemo.guru/wiki/Algorithm_SM-<del style="font-weight: bold; text-decoration: none;">17 </del>Algorithm SM-<del style="font-weight: bold; text-decoration: none;">17</del>]. '''R-Metric''' less than zero indicates underperformance of the new algorithm. <code>LSRM</code> is a square root of the average of squared absolute differences in recall predictions: <code>abs(Recall-PredictedRecall)</code>, where <code>Recall</code> is 0 for failing [[Glossary:Grade|grades]] and <code>Recall</code> is 1 for passing grades. <code>PredictedRecall</code> is a prediction issued by the algorithm before the [[Glossary:Repetition|repetition]]. In [https://supermemo.guru/wiki/Algorithm_SM-<del style="font-weight: bold; text-decoration: none;">17 </del>Algorithm SM-<del style="font-weight: bold; text-decoration: none;">17</del>], the prediction is a weighted average of the value taken from the [[Glossary:Recall_matrix|Recall[] matrix]], and [[Glossary:Retrievability|R (retrievability)]] computed from [[Glossary:Stability|S (stability)]] and the used [[Glossary:Interval|interval]]. The weight used is based on prior repetition cases which inform of the significance of the Recall[] matrix prediction (the prediction becomes more meaningful with more prior repetition data)</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>:absolute measure of performance of two [[Glossary:Spaced_repetition|spaced repetition]] algorithms based on their ability to predict recall before a [[Glossary:Grade|grade]] is scored. In [[What's new in SuperMemo <ins style="font-weight: bold; text-decoration: none;">18</ins>?|SuperMemo <ins style="font-weight: bold; text-decoration: none;">18</ins>]], '''R-Metric''' is used solely to compare [https://supermemo.guru/wiki/Algorithm_SM-15 Algorithm SM-15] (known from SuperMemo 16) and the new [https://supermemo.guru/wiki/Algorithm_SM-<ins style="font-weight: bold; text-decoration: none;">18 </ins>Algorithm SM-<ins style="font-weight: bold; text-decoration: none;">18</ins>]. It is shown as percentage in '''Statistics''' and '''[[Toolkit menu|Toolkit]] : [[Toolkit menu#Statistics|Statistics]] : [[Analysis]] : [[Analysis#Use|Use]] : Efficiency : [[Analysis#Use_:_Efficiency_:_R-Metric|R-Metric]]'''. '''R-Metric''' is a difference between the performance of the two algorithms: <code>R-Metric=LSRM(Alg-15)-LSRM(Alg-<ins style="font-weight: bold; text-decoration: none;">18</ins>)</code>, where <code>LSRM</code> is the least squares predicted recall measure for a given algorithm. '''R-Metric''' greater than zero shows superiority of [https://supermemo.guru/wiki/Algorithm_SM-<ins style="font-weight: bold; text-decoration: none;">18 </ins>Algorithm SM-<ins style="font-weight: bold; text-decoration: none;">18</ins>]. '''R-Metric''' less than zero indicates underperformance of the new algorithm. <code>LSRM</code> is a square root of the average of squared absolute differences in recall predictions: <code>abs(Recall-PredictedRecall)</code>, where <code>Recall</code> is 0 for failing [[Glossary:Grade|grades]] and <code>Recall</code> is 1 for passing grades. <code>PredictedRecall</code> is a prediction issued by the algorithm before the [[Glossary:Repetition|repetition]]. In [https://supermemo.guru/wiki/Algorithm_SM-<ins style="font-weight: bold; text-decoration: none;">18 </ins>Algorithm SM-<ins style="font-weight: bold; text-decoration: none;">18</ins>], the prediction is a weighted average of the value taken from the [[Glossary:Recall_matrix|Recall[] matrix]], and [[Glossary:Retrievability|R (retrievability)]] computed from [[Glossary:Stability|S (stability)]] and the used [[Glossary:Interval|interval]]. The weight used is based on prior repetition cases which inform of the significance of the Recall[] matrix prediction (the prediction becomes more meaningful with more prior repetition data)</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>[[File:Daily Algorithm SM-17 performance metric.jpg|100px|thumb|center|SuperMemo <del style="font-weight: bold; text-decoration: none;">17 </del>performance metric]]</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>[[File:Daily Algorithm SM-17 performance metric.jpg|100px|thumb|center|SuperMemo <ins style="font-weight: bold; text-decoration: none;">18 </ins>performance metric]]</div></td></tr> </table>

SuperMemoHelp https://help18.whiz.me/index.php?title=Glossary:R-Metric&diff=9997&oldid=prev SuperMemoHelp at 09:54, 6 March 2019 2019-03-06T09:54:55Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 05:54, 6 March 2019</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1">Line 1:</td> <td colspan="2" class="diff-lineno">Line 1:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>;<span id="R-Metric">R-Metric</span> (Recall Metric)</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>;<span id="R-Metric">R-Metric</span> (Recall Metric)</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>:absolute measure of performance of two [[Glossary:Spaced_repetition|spaced repetition]] algorithms based on their ability to predict recall before a [[Glossary:Grade|grade]] is scored. In [[What's new in SuperMemo 17?|SuperMemo 17]], '''R-Metric''' is used solely to compare [https://supermemo.guru/wiki/Algorithm_SM-15 Algorithm SM-15] (known from SuperMemo 16) and the new [<del style="font-weight: bold; text-decoration: none;">[SuperMemo Algorithm|</del>Algorithm SM-17<del style="font-weight: bold; text-decoration: none;">]</del>]. It is shown as percentage in '''Statistics''' and '''[[Toolkit menu|Toolkit]] : [[Toolkit menu#Statistics|Statistics]] : [[Analysis]] : [[Analysis#Use|Use]] : Efficiency : [[Analysis#Use_:_Efficiency_:_R-Metric|R-Metric]]'''. '''R-Metric''' is a difference between the performance of the two algorithms: <code>R-Metric=LSRM(Alg-15)-LSRM(Alg-17)</code>, where <code>LSRM</code> is the least squares predicted recall measure for a given algorithm. '''R-Metric''' greater than zero shows superiority of [<del style="font-weight: bold; text-decoration: none;">[SuperMemo Algorithm|</del>Algorithm SM-17<del style="font-weight: bold; text-decoration: none;">]</del>]. '''R-Metric''' less than zero indicates underperformance of the new algorithm. <code>LSRM</code> is a square root of the average of squared absolute differences in recall predictions: <code>abs(Recall-PredictedRecall)</code>, where <code>Recall</code> is 0 for failing [[Glossary:Grade|grades]] and <code>Recall</code> is 1 for passing grades. <code>PredictedRecall</code> is a prediction issued by the algorithm before the [[Glossary:Repetition|repetition]]. In [<del style="font-weight: bold; text-decoration: none;">[SuperMemo Algorithm|</del>Algorithm SM-17<del style="font-weight: bold; text-decoration: none;">]</del>], the prediction is a weighted average of the value taken from the [[Glossary:Recall_matrix|Recall[] matrix]], and [[Glossary:Retrievability|R (retrievability)]] computed from [[Glossary:Stability|S (stability)]] and the used [[Glossary:Interval|interval]]. The weight used is based on prior repetition cases which inform of the significance of the Recall[] matrix prediction (the prediction becomes more meaningful with more prior repetition data)</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>:absolute measure of performance of two [[Glossary:Spaced_repetition|spaced repetition]] algorithms based on their ability to predict recall before a [[Glossary:Grade|grade]] is scored. In [[What's new in SuperMemo 17?|SuperMemo 17]], '''R-Metric''' is used solely to compare [https://supermemo.guru/wiki/Algorithm_SM-15 Algorithm SM-15] (known from SuperMemo 16) and the new [<ins style="font-weight: bold; text-decoration: none;">https://supermemo.guru/wiki/Algorithm_SM-17 </ins>Algorithm SM-17]. It is shown as percentage in '''Statistics''' and '''[[Toolkit menu|Toolkit]] : [[Toolkit menu#Statistics|Statistics]] : [[Analysis]] : [[Analysis#Use|Use]] : Efficiency : [[Analysis#Use_:_Efficiency_:_R-Metric|R-Metric]]'''. '''R-Metric''' is a difference between the performance of the two algorithms: <code>R-Metric=LSRM(Alg-15)-LSRM(Alg-17)</code>, where <code>LSRM</code> is the least squares predicted recall measure for a given algorithm. '''R-Metric''' greater than zero shows superiority of [<ins style="font-weight: bold; text-decoration: none;">https://supermemo.guru/wiki/Algorithm_SM-17 </ins>Algorithm SM-17]. '''R-Metric''' less than zero indicates underperformance of the new algorithm. <code>LSRM</code> is a square root of the average of squared absolute differences in recall predictions: <code>abs(Recall-PredictedRecall)</code>, where <code>Recall</code> is 0 for failing [[Glossary:Grade|grades]] and <code>Recall</code> is 1 for passing grades. <code>PredictedRecall</code> is a prediction issued by the algorithm before the [[Glossary:Repetition|repetition]]. In [<ins style="font-weight: bold; text-decoration: none;">https://supermemo.guru/wiki/Algorithm_SM-17 </ins>Algorithm SM-17], the prediction is a weighted average of the value taken from the [[Glossary:Recall_matrix|Recall[] matrix]], and [[Glossary:Retrievability|R (retrievability)]] computed from [[Glossary:Stability|S (stability)]] and the used [[Glossary:Interval|interval]]. The weight used is based on prior repetition cases which inform of the significance of the Recall[] matrix prediction (the prediction becomes more meaningful with more prior repetition data)</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[File:Daily Algorithm SM-17 performance metric.jpg|100px|thumb|center|SuperMemo 17 performance metric]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[File:Daily Algorithm SM-17 performance metric.jpg|100px|thumb|center|SuperMemo 17 performance metric]]</div></td></tr> </table>

SuperMemoHelp https://help18.whiz.me/index.php?title=Glossary:R-Metric&diff=9955&oldid=prev SuperMemoHelp at 11:46, 4 March 2019 2019-03-04T11:46:01Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 07:46, 4 March 2019</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1">Line 1:</td> <td colspan="2" class="diff-lineno">Line 1:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>;<span id="R-Metric">R-Metric</span> (Recall Metric)</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>;<span id="R-Metric">R-Metric</span> (Recall Metric)</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>:absolute measure of performance of two [[Glossary:Spaced_repetition|spaced repetition]] algorithms based on their ability to predict recall before a [[Glossary:Grade|grade]] is scored. In [[What's new in SuperMemo 17?|SuperMemo 17]], '''R-Metric''' is used solely to compare [<del style="font-weight: bold; text-decoration: none;">[SuperMemo Algorithm SM</del>-15<del style="font-weight: bold; text-decoration: none;">|</del>Algorithm SM-15<del style="font-weight: bold; text-decoration: none;">]</del>] (known from SuperMemo 16) and the new [[SuperMemo Algorithm|Algorithm SM-17]]. It is shown as percentage in '''Statistics''' and '''[[Toolkit menu|Toolkit]] : [[Toolkit menu#Statistics|Statistics]] : [[Analysis]] : [[Analysis#Use|Use]] : Efficiency : [[Analysis#Use_:_Efficiency_:_R-Metric|R-Metric]]'''. '''R-Metric''' is a difference between the performance of the two algorithms: <code>R-Metric=LSRM(Alg-15)-LSRM(Alg-17)</code>, where <code>LSRM</code> is the least squares predicted recall measure for a given algorithm. '''R-Metric''' greater than zero shows superiority of [[SuperMemo Algorithm|Algorithm SM-17]]. '''R-Metric''' less than zero indicates underperformance of the new algorithm. <code>LSRM</code> is a square root of the average of squared absolute differences in recall predictions: <code>abs(Recall-PredictedRecall)</code>, where <code>Recall</code> is 0 for failing [[Glossary:Grade|grades]] and <code>Recall</code> is 1 for passing grades. <code>PredictedRecall</code> is a prediction issued by the algorithm before the [[Glossary:Repetition|repetition]]. In [[SuperMemo Algorithm|Algorithm SM-17]], the prediction is a weighted average of the value taken from the [[Glossary:Recall_matrix|Recall[] matrix]], and [[Glossary:Retrievability|R (retrievability)]] computed from [[Glossary:Stability|S (stability)]] and the used [[Glossary:Interval|interval]]. The weight used is based on prior repetition cases which inform of the significance of the Recall[] matrix prediction (the prediction becomes more meaningful with more prior repetition data)</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>:absolute measure of performance of two [[Glossary:Spaced_repetition|spaced repetition]] algorithms based on their ability to predict recall before a [[Glossary:Grade|grade]] is scored. In [[What's new in SuperMemo 17?|SuperMemo 17]], '''R-Metric''' is used solely to compare [<ins style="font-weight: bold; text-decoration: none;">https://supermemo.guru/wiki/Algorithm_SM</ins>-15 Algorithm SM-15] (known from SuperMemo 16) and the new [[SuperMemo Algorithm|Algorithm SM-17]]. It is shown as percentage in '''Statistics''' and '''[[Toolkit menu|Toolkit]] : [[Toolkit menu#Statistics|Statistics]] : [[Analysis]] : [[Analysis#Use|Use]] : Efficiency : [[Analysis#Use_:_Efficiency_:_R-Metric|R-Metric]]'''. '''R-Metric''' is a difference between the performance of the two algorithms: <code>R-Metric=LSRM(Alg-15)-LSRM(Alg-17)</code>, where <code>LSRM</code> is the least squares predicted recall measure for a given algorithm. '''R-Metric''' greater than zero shows superiority of [[SuperMemo Algorithm|Algorithm SM-17]]. '''R-Metric''' less than zero indicates underperformance of the new algorithm. <code>LSRM</code> is a square root of the average of squared absolute differences in recall predictions: <code>abs(Recall-PredictedRecall)</code>, where <code>Recall</code> is 0 for failing [[Glossary:Grade|grades]] and <code>Recall</code> is 1 for passing grades. <code>PredictedRecall</code> is a prediction issued by the algorithm before the [[Glossary:Repetition|repetition]]. In [[SuperMemo Algorithm|Algorithm SM-17]], the prediction is a weighted average of the value taken from the [[Glossary:Recall_matrix|Recall[] matrix]], and [[Glossary:Retrievability|R (retrievability)]] computed from [[Glossary:Stability|S (stability)]] and the used [[Glossary:Interval|interval]]. The weight used is based on prior repetition cases which inform of the significance of the Recall[] matrix prediction (the prediction becomes more meaningful with more prior repetition data)</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[File:Daily Algorithm SM-17 performance metric.jpg|100px|thumb|center|SuperMemo 17 performance metric]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[File:Daily Algorithm SM-17 performance metric.jpg|100px|thumb|center|SuperMemo 17 performance metric]]</div></td></tr> </table>

SuperMemoHelp https://help18.whiz.me/index.php?title=Glossary:R-Metric&diff=9935&oldid=prev SuperMemoHelp: Tools -> Toolkit 2019-03-03T10:13:08Z

<p>Tools -> Toolkit</p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 06:13, 3 March 2019</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1">Line 1:</td> <td colspan="2" class="diff-lineno">Line 1:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>;<span id="R-Metric">R-Metric</span> (Recall Metric)</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>;<span id="R-Metric">R-Metric</span> (Recall Metric)</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>:absolute measure of performance of two [[Glossary:Spaced_repetition|spaced repetition]] algorithms based on their ability to predict recall before a [[Glossary:Grade|grade]] is scored. In [[What's new in SuperMemo 17?|SuperMemo 17]], '''R-Metric''' is used solely to compare [[SuperMemo Algorithm SM-15|Algorithm SM-15]] (known from SuperMemo 16) and the new [[SuperMemo Algorithm|Algorithm SM-17]]. It is shown as percentage in '''Statistics''' and '''[[<del style="font-weight: bold; text-decoration: none;">Tools </del>menu|<del style="font-weight: bold; text-decoration: none;">Tools</del>]] : [[<del style="font-weight: bold; text-decoration: none;">Tools </del>menu#Statistics|Statistics]] : [[Analysis]] : [[Analysis#Use|Use]] : Efficiency : [[Analysis#Use_:_Efficiency_:_R-Metric|R-Metric]]'''. '''R-Metric''' is a difference between the performance of the two algorithms: <code>R-Metric=LSRM(Alg-15)-LSRM(Alg-17)</code>, where <code>LSRM</code> is the least squares predicted recall measure for a given algorithm. '''R-Metric''' greater than zero shows superiority of [[SuperMemo Algorithm|Algorithm SM-17]]. '''R-Metric''' less than zero indicates underperformance of the new algorithm. <code>LSRM</code> is a square root of the average of squared absolute differences in recall predictions: <code>abs(Recall-PredictedRecall)</code>, where <code>Recall</code> is 0 for failing [[Glossary:Grade|grades]] and <code>Recall</code> is 1 for passing grades. <code>PredictedRecall</code> is a prediction issued by the algorithm before the [[Glossary:Repetition|repetition]]. In [[SuperMemo Algorithm|Algorithm SM-17]], the prediction is a weighted average of the value taken from the [[Glossary:Recall_matrix|Recall[] matrix]], and [[Glossary:Retrievability|R (retrievability)]] computed from [[Glossary:Stability|S (stability)]] and the used [[Glossary:Interval|interval]]. The weight used is based on prior repetition cases which inform of the significance of the Recall[] matrix prediction (the prediction becomes more meaningful with more prior repetition data)</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>:absolute measure of performance of two [[Glossary:Spaced_repetition|spaced repetition]] algorithms based on their ability to predict recall before a [[Glossary:Grade|grade]] is scored. In [[What's new in SuperMemo 17?|SuperMemo 17]], '''R-Metric''' is used solely to compare [[SuperMemo Algorithm SM-15|Algorithm SM-15]] (known from SuperMemo 16) and the new [[SuperMemo Algorithm|Algorithm SM-17]]. It is shown as percentage in '''Statistics''' and '''[[<ins style="font-weight: bold; text-decoration: none;">Toolkit </ins>menu|<ins style="font-weight: bold; text-decoration: none;">Toolkit</ins>]] : [[<ins style="font-weight: bold; text-decoration: none;">Toolkit </ins>menu#Statistics|Statistics]] : [[Analysis]] : [[Analysis#Use|Use]] : Efficiency : [[Analysis#Use_:_Efficiency_:_R-Metric|R-Metric]]'''. '''R-Metric''' is a difference between the performance of the two algorithms: <code>R-Metric=LSRM(Alg-15)-LSRM(Alg-17)</code>, where <code>LSRM</code> is the least squares predicted recall measure for a given algorithm. '''R-Metric''' greater than zero shows superiority of [[SuperMemo Algorithm|Algorithm SM-17]]. '''R-Metric''' less than zero indicates underperformance of the new algorithm. <code>LSRM</code> is a square root of the average of squared absolute differences in recall predictions: <code>abs(Recall-PredictedRecall)</code>, where <code>Recall</code> is 0 for failing [[Glossary:Grade|grades]] and <code>Recall</code> is 1 for passing grades. <code>PredictedRecall</code> is a prediction issued by the algorithm before the [[Glossary:Repetition|repetition]]. In [[SuperMemo Algorithm|Algorithm SM-17]], the prediction is a weighted average of the value taken from the [[Glossary:Recall_matrix|Recall[] matrix]], and [[Glossary:Retrievability|R (retrievability)]] computed from [[Glossary:Stability|S (stability)]] and the used [[Glossary:Interval|interval]]. The weight used is based on prior repetition cases which inform of the significance of the Recall[] matrix prediction (the prediction becomes more meaningful with more prior repetition data)</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[File:Daily Algorithm SM-17 performance metric.jpg|100px|thumb|center|SuperMemo 17 performance metric]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[File:Daily Algorithm SM-17 performance metric.jpg|100px|thumb|center|SuperMemo 17 performance metric]]</div></td></tr> </table>

SuperMemoHelp https://help18.whiz.me/index.php?title=Glossary:R-Metric&diff=9711&oldid=prev SuperMemoHelp at 00:16, 23 May 2017 2017-05-23T00:16:40Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 20:16, 22 May 2017</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1">Line 1:</td> <td colspan="2" class="diff-lineno">Line 1:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>;<span id="R-Metric">R-Metric</span> (Recall Metric)</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>;<span id="R-Metric">R-Metric</span> (Recall Metric)</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>:absolute measure of performance of two [[Glossary:Spaced_repetition|spaced repetition]] algorithms based on their ability to predict recall before a [[Glossary:Grade|grade]] is scored. In [[What's new in SuperMemo 17?|SuperMemo 17]], '''R-Metric''' is used solely to compare [[SuperMemo Algorithm SM-15|Algorithm SM-15]] (known from SuperMemo 16) and the new [[SuperMemo Algorithm|Algorithm SM-17]]. It is shown as percentage in '''Statistics''' and '''[[Tools menu|Tools]] : [[Tools menu#Statistics|Statistics]] : [[Analysis]] : [[Analysis#Use|Use]] : Efficiency : [[Analysis#Use_:_Efficiency_:_R-Metric|R-Metric]]'''. '''R-Metric''' is a difference between the performance of the two algorithms: <code>R-Metric=LSRM(Alg-<del style="font-weight: bold; text-decoration: none;">17</del>)-LSRM(Alg-<del style="font-weight: bold; text-decoration: none;">15</del>)</code>, where <code>LSRM</code> is the least squares predicted recall measure for a given algorithm. '''R-Metric''' greater than zero shows superiority of [[SuperMemo Algorithm|Algorithm SM-17]]. '''R-Metric''' less than zero indicates underperformance of the new algorithm. <code>LSRM</code> is a square root of the average of squared absolute differences in recall predictions: <code>abs(Recall-PredictedRecall)</code>, where <code>Recall</code> is 0 for failing [[Glossary:Grade|grades]] and <code>Recall</code> is 1 for passing grades. <code>PredictedRecall</code> is a prediction issued by the algorithm before the [[Glossary:Repetition|repetition]]. In [[SuperMemo Algorithm|Algorithm SM-17]], the prediction is a weighted average of the value taken from the [[Glossary:Recall_matrix|Recall[] matrix]], and [[Glossary:Retrievability|R (retrievability)]] computed from [[Glossary:Stability|S (stability)]] and the used [[Glossary:Interval|interval]]. The weight used is based on prior repetition cases which inform of the significance of the Recall[] matrix prediction (the prediction becomes more meaningful with more prior repetition data)</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>:absolute measure of performance of two [[Glossary:Spaced_repetition|spaced repetition]] algorithms based on their ability to predict recall before a [[Glossary:Grade|grade]] is scored. In [[What's new in SuperMemo 17?|SuperMemo 17]], '''R-Metric''' is used solely to compare [[SuperMemo Algorithm SM-15|Algorithm SM-15]] (known from SuperMemo 16) and the new [[SuperMemo Algorithm|Algorithm SM-17]]. It is shown as percentage in '''Statistics''' and '''[[Tools menu|Tools]] : [[Tools menu#Statistics|Statistics]] : [[Analysis]] : [[Analysis#Use|Use]] : Efficiency : [[Analysis#Use_:_Efficiency_:_R-Metric|R-Metric]]'''. '''R-Metric''' is a difference between the performance of the two algorithms: <code>R-Metric=LSRM(Alg-<ins style="font-weight: bold; text-decoration: none;">15</ins>)-LSRM(Alg-<ins style="font-weight: bold; text-decoration: none;">17</ins>)</code>, where <code>LSRM</code> is the least squares predicted recall measure for a given algorithm. '''R-Metric''' greater than zero shows superiority of [[SuperMemo Algorithm|Algorithm SM-17]]. '''R-Metric''' less than zero indicates underperformance of the new algorithm. <code>LSRM</code> is a square root of the average of squared absolute differences in recall predictions: <code>abs(Recall-PredictedRecall)</code>, where <code>Recall</code> is 0 for failing [[Glossary:Grade|grades]] and <code>Recall</code> is 1 for passing grades. <code>PredictedRecall</code> is a prediction issued by the algorithm before the [[Glossary:Repetition|repetition]]. In [[SuperMemo Algorithm|Algorithm SM-17]], the prediction is a weighted average of the value taken from the [[Glossary:Recall_matrix|Recall[] matrix]], and [[Glossary:Retrievability|R (retrievability)]] computed from [[Glossary:Stability|S (stability)]] and the used [[Glossary:Interval|interval]]. The weight used is based on prior repetition cases which inform of the significance of the Recall[] matrix prediction (the prediction becomes more meaningful with more prior repetition data)</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[File:Daily Algorithm SM-17 performance metric.jpg|100px|thumb|center|SuperMemo 17 performance metric]]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>[[File:Daily Algorithm SM-17 performance metric.jpg|100px|thumb|center|SuperMemo 17 performance metric]]</div></td></tr> </table>

SuperMemoHelp https://help18.whiz.me/index.php?title=Glossary:R-Metric&diff=9461&oldid=prev SuperMemoHelp at 22:14, 18 June 2016 2016-06-18T22:14:52Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 18:14, 18 June 2016</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l2">Line 2:</td> <td colspan="2" class="diff-lineno">Line 2:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>:absolute measure of performance of two [[Glossary:Spaced_repetition|spaced repetition]] algorithms based on their ability to predict recall before a [[Glossary:Grade|grade]] is scored. In [[What's new in SuperMemo 17?|SuperMemo 17]], '''R-Metric''' is used solely to compare [[SuperMemo Algorithm SM-15|Algorithm SM-15]] (known from SuperMemo 16) and the new [[SuperMemo Algorithm|Algorithm SM-17]]. It is shown as percentage in '''Statistics''' and '''[[Tools menu|Tools]] : [[Tools menu#Statistics|Statistics]] : [[Analysis]] : [[Analysis#Use|Use]] : Efficiency : [[Analysis#Use_:_Efficiency_:_R-Metric|R-Metric]]'''. '''R-Metric''' is a difference between the performance of the two algorithms: <code>R-Metric=LSRM(Alg-17)-LSRM(Alg-15)</code>, where <code>LSRM</code> is the least squares predicted recall measure for a given algorithm. '''R-Metric''' greater than zero shows superiority of [[SuperMemo Algorithm|Algorithm SM-17]]. '''R-Metric''' less than zero indicates underperformance of the new algorithm. <code>LSRM</code> is a square root of the average of squared absolute differences in recall predictions: <code>abs(Recall-PredictedRecall)</code>, where <code>Recall</code> is 0 for failing [[Glossary:Grade|grades]] and <code>Recall</code> is 1 for passing grades. <code>PredictedRecall</code> is a prediction issued by the algorithm before the [[Glossary:Repetition|repetition]]. In [[SuperMemo Algorithm|Algorithm SM-17]], the prediction is a weighted average of the value taken from the [[Glossary:Recall_matrix|Recall[] matrix]], and [[Glossary:Retrievability|R (retrievability)]] computed from [[Glossary:Stability|S (stability)]] and the used [[Glossary:Interval|interval]]. The weight used is based on prior repetition cases which inform of the significance of the Recall[] matrix prediction (the prediction becomes more meaningful with more prior repetition data)</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>:absolute measure of performance of two [[Glossary:Spaced_repetition|spaced repetition]] algorithms based on their ability to predict recall before a [[Glossary:Grade|grade]] is scored. In [[What's new in SuperMemo 17?|SuperMemo 17]], '''R-Metric''' is used solely to compare [[SuperMemo Algorithm SM-15|Algorithm SM-15]] (known from SuperMemo 16) and the new [[SuperMemo Algorithm|Algorithm SM-17]]. It is shown as percentage in '''Statistics''' and '''[[Tools menu|Tools]] : [[Tools menu#Statistics|Statistics]] : [[Analysis]] : [[Analysis#Use|Use]] : Efficiency : [[Analysis#Use_:_Efficiency_:_R-Metric|R-Metric]]'''. '''R-Metric''' is a difference between the performance of the two algorithms: <code>R-Metric=LSRM(Alg-17)-LSRM(Alg-15)</code>, where <code>LSRM</code> is the least squares predicted recall measure for a given algorithm. '''R-Metric''' greater than zero shows superiority of [[SuperMemo Algorithm|Algorithm SM-17]]. '''R-Metric''' less than zero indicates underperformance of the new algorithm. <code>LSRM</code> is a square root of the average of squared absolute differences in recall predictions: <code>abs(Recall-PredictedRecall)</code>, where <code>Recall</code> is 0 for failing [[Glossary:Grade|grades]] and <code>Recall</code> is 1 for passing grades. <code>PredictedRecall</code> is a prediction issued by the algorithm before the [[Glossary:Repetition|repetition]]. In [[SuperMemo Algorithm|Algorithm SM-17]], the prediction is a weighted average of the value taken from the [[Glossary:Recall_matrix|Recall[] matrix]], and [[Glossary:Retrievability|R (retrievability)]] computed from [[Glossary:Stability|S (stability)]] and the used [[Glossary:Interval|interval]]. The weight used is based on prior repetition cases which inform of the significance of the Recall[] matrix prediction (the prediction becomes more meaningful with more prior repetition data)</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">Example:</del></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>[[File:Daily Algorithm SM-17 performance metric.jpg|100px|thumb|<ins style="font-weight: bold; text-decoration: none;">center</ins>|SuperMemo 17 performance metric]]</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div> </div></td><td colspan="2" class="diff-side-added"></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>[[File:Daily Algorithm SM-17 performance metric.jpg|100px|thumb|<del style="font-weight: bold; text-decoration: none;">left</del>|SuperMemo 17 performance metric]]</div></td><td colspan="2" class="diff-side-added"></td></tr> </table>

SuperMemoHelp https://help18.whiz.me/index.php?title=Glossary:R-Metric&diff=9460&oldid=prev SuperMemoHelp at 22:10, 18 June 2016 2016-06-18T22:10:54Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="en"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">← Older revision</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 18:10, 18 June 2016</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l1">Line 1:</td> <td colspan="2" class="diff-lineno">Line 1:</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>;<span id="R-Metric">R-Metric</span> (Recall Metric)</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>;<span id="R-Metric">R-Metric</span> (Recall Metric)</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>:absolute measure of performance of two [[Glossary:Spaced_repetition|spaced repetition]] algorithms based on their ability to predict recall before a [[Glossary:Grade|grade]] is scored. In [[What's new in SuperMemo 17?|SuperMemo 17]], '''R-Metric''' is used solely to compare [[SuperMemo Algorithm SM-15|Algorithm SM-15]] (known from SuperMemo 16) and the new [[SuperMemo Algorithm|Algorithm SM-17]]. It is shown as percentage in '''Statistics''' and '''[[Tools menu|Tools]] : [[Tools menu#Statistics|Statistics]] : [[Analysis]] : [[Analysis#Use|Use]] : Efficiency : [[Analysis#Use_:_Efficiency_:_R-Metric|R-Metric]]'''. '''R-Metric''' is a difference between the performance of the two algorithms: <code>R-Metric=LSRM(Alg-17)-LSRM(Alg-15)</code>, where <code>LSRM</code> is the least squares predicted recall measure for a given algorithm. '''R-Metric''' greater than zero shows superiority of [[SuperMemo Algorithm|Algorithm SM-17]]. '''R-Metric''' less than zero indicates underperformance of the new algorithm. <code>LSRM</code> is a square root of the average of squared absolute differences in recall predictions: <code>abs(Recall-PredictedRecall)</code>, where <code>Recall</code> is 0 for failing [[Glossary:Grade|grades]] and <code>Recall</code> is 1 for passing grades. <code>PredictedRecall</code> is a prediction issued by the algorithm before the [[Glossary:Repetition|repetition]]. In [[SuperMemo Algorithm|Algorithm SM-17]], the prediction is a weighted average of the value taken from the [[Glossary:Recall_matrix|Recall[] matrix]], and [[Glossary:Retrievability|R (retrievability)]] computed from [[Glossary:Stability|S (stability)]] and the used [[Glossary:Interval|interval]]. The weight used is based on prior repetition cases which inform of the significance of the Recall[] matrix prediction (the prediction becomes more meaningful with more prior repetition data)</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>:absolute measure of performance of two [[Glossary:Spaced_repetition|spaced repetition]] algorithms based on their ability to predict recall before a [[Glossary:Grade|grade]] is scored. In [[What's new in SuperMemo 17?|SuperMemo 17]], '''R-Metric''' is used solely to compare [[SuperMemo Algorithm SM-15|Algorithm SM-15]] (known from SuperMemo 16) and the new [[SuperMemo Algorithm|Algorithm SM-17]]. It is shown as percentage in '''Statistics''' and '''[[Tools menu|Tools]] : [[Tools menu#Statistics|Statistics]] : [[Analysis]] : [[Analysis#Use|Use]] : Efficiency : [[Analysis#Use_:_Efficiency_:_R-Metric|R-Metric]]'''. '''R-Metric''' is a difference between the performance of the two algorithms: <code>R-Metric=LSRM(Alg-17)-LSRM(Alg-15)</code>, where <code>LSRM</code> is the least squares predicted recall measure for a given algorithm. '''R-Metric''' greater than zero shows superiority of [[SuperMemo Algorithm|Algorithm SM-17]]. '''R-Metric''' less than zero indicates underperformance of the new algorithm. <code>LSRM</code> is a square root of the average of squared absolute differences in recall predictions: <code>abs(Recall-PredictedRecall)</code>, where <code>Recall</code> is 0 for failing [[Glossary:Grade|grades]] and <code>Recall</code> is 1 for passing grades. <code>PredictedRecall</code> is a prediction issued by the algorithm before the [[Glossary:Repetition|repetition]]. In [[SuperMemo Algorithm|Algorithm SM-17]], the prediction is a weighted average of the value taken from the [[Glossary:Recall_matrix|Recall[] matrix]], and [[Glossary:Retrievability|R (retrievability)]] computed from [[Glossary:Stability|S (stability)]] and the used [[Glossary:Interval|interval]]. The weight used is based on prior repetition cases which inform of the significance of the Recall[] matrix prediction (the prediction becomes more meaningful with more prior repetition data)</div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">Example:</ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">[[File:Daily Algorithm SM-17 performance metric.jpg|100px|thumb|left|SuperMemo 17 performance metric]]</ins></div></td></tr> </table>

SuperMemoHelp