
DiaMetrics (lite) is a web-based educational resource for exploring important concepts regarding binary classification (and its evaluation), which is important in many different fields such as psychodiagnostics (e.g. in determining cut-off values for tests), machine learning or medical testing. The lite version is primarily intended for use with direct instruction (e.g. in the context of lectures or talks).
If you mention, use, adapt or publish this project elsewhere, please cite it using the metadata from this file.
binary-classification-evaluation, teaching-resources, learning-resources, learning-by-doing, teaching-tool, learning-tool, specificity, sensitivity, learning-materials, binary-classification, teaching-materials
binary-classification-evaluation, teaching-resources, learning-resources, learning-by-doing, teaching-tool, learning-tool, specificity, sensitivity, learning-materials, binary-classification, teaching-materials
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
