mirror of
https://github.com/RobTillaart/Arduino.git
synced 2024-09-20 00:55:58 -04:00
120 lines
2.3 KiB
C++
120 lines
2.3 KiB
C++
#pragma once
|
|
//
|
|
// FILE: GST.h
|
|
// VERSION: 0.1.4
|
|
// PURPOSE: Arduino library for Gold Standard Test metrics
|
|
// URL: https://github.com/RobTillaart/GST
|
|
// https://en.wikipedia.org/wiki/Sensitivity_and_specificity
|
|
// https://en.wikipedia.org/wiki/Confusion_matrix
|
|
//
|
|
// formula's based upon Wikipedia.
|
|
|
|
|
|
#define GST_LIB_VERSION (F("0.1.4"))
|
|
|
|
|
|
#include "Arduino.h"
|
|
|
|
|
|
class GST
|
|
{
|
|
public:
|
|
GST();
|
|
|
|
// These four values of the matrix need to be set to get started.
|
|
void setTruePositive(float v = 0);
|
|
void setTrueNegative(float v = 0);
|
|
void setFalsePositive(float v = 0);
|
|
void setFalseNegative(float v = 0);
|
|
void clearAll();
|
|
|
|
// These are used for updating the test matrix
|
|
float addTruePositive(float v);
|
|
float addTrueNegative(float v);
|
|
float addFalsePositive(float v);
|
|
float addFalseNegative(float v);
|
|
|
|
|
|
// Output functions I
|
|
float getTruePositive();
|
|
float getTrueNegative();
|
|
float getFalsePositive();
|
|
float getFalseNegative();
|
|
|
|
float getTotal();
|
|
float getActualPositive();
|
|
float getActualNegative();
|
|
float getTestedPositive();
|
|
float getTestedNegative();
|
|
|
|
float sensitivity();
|
|
float specificity();
|
|
|
|
|
|
float truePositiveRate();
|
|
float TPR();
|
|
float trueNegativeRate();
|
|
float TNR();
|
|
float falseNegativeRate();
|
|
float FNR();
|
|
float falsePositiveRate();
|
|
float FPR();
|
|
|
|
|
|
// Output functions II
|
|
float positivePredictiveValue();
|
|
float PPV();
|
|
float negativePredictiveValue();
|
|
float NPV();
|
|
float falseDiscoveryRate();
|
|
float FDR();
|
|
float falseOmissionRate();
|
|
float FOR();
|
|
|
|
|
|
float positiveLikelihoodRatio();
|
|
float LRplus();
|
|
float negativeLikelihoodRatio();
|
|
float LRminus();
|
|
|
|
|
|
float prevalenceThreshold();
|
|
float threatScore();
|
|
float criticalSuccessIndex();
|
|
|
|
|
|
float prevalence();
|
|
float accuracy();
|
|
float balancedAccuracy();
|
|
float F1Score();
|
|
|
|
|
|
float MatthewsCorrelationCoefficient();
|
|
float phi();
|
|
float MCC();
|
|
float FowlkesMallowsIndex();
|
|
float FM();
|
|
float BookmakerInformedness();
|
|
float BM();
|
|
|
|
|
|
float markedness();
|
|
float deltaP();
|
|
float MK();
|
|
float diagnosticOddsRatio();
|
|
float DOR();
|
|
|
|
|
|
private:
|
|
float AP; // actual positive
|
|
float AN; // actual negative
|
|
float TP; // true positive
|
|
float TN; // true negative
|
|
float FP; // false positive
|
|
float FN; // false positive
|
|
};
|
|
|
|
|
|
// -- END OF FILE --
|
|
|