Contents |
burden = 1/I_{1}+1/I_{2}+ ... + 1/I_{n}
Q: The highest literacy rate in Africa has been reached in [...](country)(2009)?
A: Seychelles (93%)
R-Metric=LSRM(Alg-15)-LSRM(Alg-17)
, where LSRM
is the least squares predicted recall measure for a given algorithm. R-Metric greater than zero shows superiority of Algorithm SM-17. R-Metric less than zero indicates underperformance of the new algorithm. LSRM
is a square root of the average of squared absolute differences in recall predictions: abs(Recall-PredictedRecall)
, where Recall
is 0 for failing grades and Recall
is 1 for passing grades. PredictedRecall
is a prediction issued by the algorithm before the repetition. In Algorithm SM-17, the prediction is a weighted average of the value taken from the Recall[] matrix, and R (retrievability) computed from S (stability) and the used 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)HR
(also called splitline), H1
through H6
, DIV
) or a Wiki headline. You can quickly insert a splitmark by choosing Reading : Split : Insert splitline (Shift+Alt+H) from the HTML component menu