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Precision: measures the ratio of relevant recommendations.
"Adeq Precision" measures the signal-to-noise ratio [23].
The "Adequate Precision" measures the signal to noise ratio.
The 'Adeq precision' measures the signal to noise ratio.
"Adequate precision" measures the signal-to-noise ratio and a ratio >4 is desirable.
Also recall that the mean average precision measures how good a recommendation ranking function is.
At this time, the accuracy and the precision measures of the change-point estimators are computed.
The adequate precision measures the signal to noise ratio in the model.
On the other hands, precision measures the degree to which the clustering method produces accurate results.
The precision measures the degree of correctness of the candidate terms.
Considering recall and precision measures, CISS+ surpasses CISS-SW in terms of precision.
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