Accuracy-based measures provide a better measure of sequence learning than reaction time-based measures
نویسندگان
چکیده
منابع مشابه
Accuracy-based measures provide a better measure of sequence learning than reaction time-based measures
The Serial Reaction Time Task (SRTT) was designed to measure motor sequence learning and is widely used in many fields in cognitive science and neuroscience. However, the common performance measures derived from SRTT-reaction time (RT) difference scores-may not provide valid measures of sequence learning. This is because RT-difference scores may be subject to floor effects and otherwise not suf...
متن کاملAUC: A Better Measure than Accuracy in Comparing Learning Algorithms
Predictive accuracy has been widely used as the main criterion for comparing the predictive ability of classiication systems (such as C4.5, neural networks, and Naive Bayes). Most of these classiiers also produce probability estimations of the classiication, but they are completely ignored in the accuracy measure. This is often taken for granted because both training and testing sets only provi...
متن کاملAnticipation measures of sequence learning: manual versus oculomotor versions of the serial reaction time task.
The serial reaction time (SRT) task has generated a very large amount of research. Nevertheless the debate continues as to the exact cognitive processes underlying implicit sequence learning. Thus, the first goal of this study is to elucidate the underlying cognitive processes enabling sequence acquisition. We therefore compared reaction time (RT) in sequence learning in a standard manual activ...
متن کاملMeasures for Combining Accuracy and Time for Meta-learning
The vast majority of studies in meta-learning uses only few performance measures when characterizing different machine learning algorithms. The measure Adjusted Ratios of Ratio (ARR) addresses the problem of how to evaluate the quality of a model based on the accuracy and training time. Unfortunately, this measure suffers from a shortcoming that is described in this paper. A new solution is pro...
متن کاملA study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability
The experimental analysis on the performance of a proposed method is a crucial and necessary task to carry out in a research. This paper is focused on the statistical analysis of the results in the field of genetics-based machine Learning. It presents a study involving a set of techniques which can be used for doing a rigorous comparison among algorithms, in terms of obtaining successful classi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Frontiers in Psychology
سال: 2015
ISSN: 1664-1078
DOI: 10.3389/fpsyg.2015.01158