Receiver operating characteristics (ROC) graphs are useful for organizing classifiers and visualizing their performance. ROC graphsare commonly used in medical decision making, and in recent years hav...
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Undersampling Algorithms for Imbalanced Classification
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AbstractLogistic regression analysis is a statistical technique to evaluate the relationship between various predictor variables (either categorical or continuous) and an outcome which is binary (dich...
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A trusted reference in the field of psychology, offering more than 25,000 clear and authoritative entries.
pretest–posttest design
a research design in which the same assessment
...
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A critique of the use of the Kolmogorov-Smirnov (KS) statistic for the analysis of BOLD fMRI data
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Plum Analytics - Tell the Story.PlumX Metrics provide insights into the ways people interact with
individual pieces of research output (articles, conference proceedings,
book chapters, and many mo...
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When we’re working for clients we mostly come across the statistical programming languages SAS, SPSS, R and Python. Of these SAS and SPSS are probably the most used. However, the interest for the open...
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Logistic regression is a pretty flexible method. It can readily use
as independent variables categorical variables. Most software that use
Logistic regression should let you use categorical vari...
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The graph at right shows three ROC curves representing excellent, good, and worthless tests
plotted on the same graph. The accuracy of the test depends on how well the test separates
the group b...
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definition of F-score - Wikipedia
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Feature Scaling, Normalization, Standardization, Transformation, code in python, differences, when to use, simple feature scaling, min max, z score, log
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Handling missing values in support vector machine classifiers
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he Least Squares method of estimationof parameters of linear (regression) models performs well provided that the residuals (disturbances or errors) are well behaved (preferably normally or ne...
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Cohen's d is an effect size used to indicate the standardised difference between two means. It can be used, for example, to accompany reporting of t-test and ANOVA&n...
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If you have a random variable following a standard normal distribution, then we would expect its mean to be 0 so this is perfectly possible....
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