mlquantify.adjust_counting

Adjust Counting Methods

CC	Classify and Count (CC) quantifier.
PCC	Probabilistic Classify and Count (PCC) quantifier.
FM	Friedman Method for quantification adjustment.
AC	Adjusted Count method.
PAC	Probabilistic Adjusted Count (PAC) method.
TAC	Threshold Adjusted Count (TAC) — baseline threshold correction.
TX	Threshold X method — threshold where \(\text{TPR} + \text{FPR} = 1\).
TMAX	Threshold MAX method — threshold maximizing \(\text{TPR} - \text{FPR}\).
T50	T50 — selects threshold where \(\text{TPR} = 0.5\).
MS	Median Sweep (MS) — median prevalence estimate across all thresholds.
MS2	MS2 — Median Sweep variant constraining \(|\text{TPR} - \text{FPR}| > 0.25\).
CDE	CDE-Iterate for binary classification prevalence estimation.
evaluate_thresholds	Evaluate a range of classification thresholds to compute the corresponding True Positive Rate (TPR) and False Positive Rate (FPR) for a binary quantification task.
compute_tpr	Compute the True Positive Rate (Recall) for a binary classification task.
compute_fpr	Compute the False Positive Rate for a binary classification task.
compute_table	Compute the confusion matrix table for a binary classification task.