Add to ORKGThe value of accuracy and quantity as memory measures is assessed. It is argued that (1) accuracy does not measure correspondence (monitoring) because it ignores omissions and correct rejections, (2) quantity is confounded with monitoring in recall, and (3) in recognition, if targets and foils are unequal, both measures, even together, still ignore correct rejections
Research in decision making and metacognition has long investigated the calibration of subjective pr...
Abstract Researchers use a wide range of confidence scales when measuring the relationship between c...
Practitioners of data mining and machine learning have long observed that the imbalance of classes i...
In behavioral studies of academic performance, accuracy has usually been defined as the number of it...
From a machine learning perspective, information retrieval may be viewed as a problem of classifying...
(A) Response rates for the recognition memory judgment are shown for the object-scene and object-loc...
We argue that critical areas of memory research rely on problematic measurement practices and provid...
Commonly used evaluation measures including Recall, Precision, F-Factor and Rand Accuracy are biased...
<p>Values are F1-score (recall/precision) (%)</p><p>Comparison of two methods in term recognition: r...
<p>Recognition accuracy (+S.E.M.) for the controls and the Alzheimer group for the toys and non-toys...
<p>From the results, the evaluation of accuracy is littler than the true situation.</p
The approximate number system (ANS) was proposed to be a building block for later mathematical abili...
We conducted three experiments specifically designed to simultaneously evaluate the effects on recog...
In distinct experiments we examined memories for orientation and size. After viewing a randomly orie...
Widely disparate findings concerning recognition and recall as indicants of retention have been repo...
Research in decision making and metacognition has long investigated the calibration of subjective pr...
Abstract Researchers use a wide range of confidence scales when measuring the relationship between c...
Practitioners of data mining and machine learning have long observed that the imbalance of classes i...
In behavioral studies of academic performance, accuracy has usually been defined as the number of it...
From a machine learning perspective, information retrieval may be viewed as a problem of classifying...
(A) Response rates for the recognition memory judgment are shown for the object-scene and object-loc...
We argue that critical areas of memory research rely on problematic measurement practices and provid...
Commonly used evaluation measures including Recall, Precision, F-Factor and Rand Accuracy are biased...
<p>Values are F1-score (recall/precision) (%)</p><p>Comparison of two methods in term recognition: r...
<p>Recognition accuracy (+S.E.M.) for the controls and the Alzheimer group for the toys and non-toys...
<p>From the results, the evaluation of accuracy is littler than the true situation.</p
The approximate number system (ANS) was proposed to be a building block for later mathematical abili...
We conducted three experiments specifically designed to simultaneously evaluate the effects on recog...
In distinct experiments we examined memories for orientation and size. After viewing a randomly orie...
Widely disparate findings concerning recognition and recall as indicants of retention have been repo...
Research in decision making and metacognition has long investigated the calibration of subjective pr...
Abstract Researchers use a wide range of confidence scales when measuring the relationship between c...
Practitioners of data mining and machine learning have long observed that the imbalance of classes i...