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Binary Classification Test

Binary Classification Test
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2019-09-29 11:20
VectorCalculusProbability & Statistics
In collections SCIE1000
This example demonstrates the basic concepts of binary classification, including sensitivity and specificity. It involves core concepts in probability and statistics, constructed using GeoGebra commands such as SelectedIndex, Element, Vector, etc. Suitable for high school or university probability and statistics courses.

GeoGebra Commands & Parameters

  1. SelectedIndex(N) → index
  2. Element(valueA, index) → A
  3. Element(valueB, index) → B
  4. Element(valueC, index) → C
  5. Element(valueD, index) → D
  6. Vector(E, F) → u
  7. OrthogonalLine(E, xAxis) → f
  8. Mirror(u, f) → u'
  9. Vector(E, G) → v
  10. Translate(u, G) → w
  11. Translate(u', G) → a
  12. Mirror(G, f) → G'
  13. Translate(u', G') → b
  14. Translate(u, G') → c
  15. Textfield(prevalence) → InputBox1
  16. Textfield(sensitivity) → InputBox2
  17. Textfield(specificity) → InputBox3