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.
GAC	Generalized Adjusted Count method.
GPAC	Probabilistic Generalized Adjusted Count (GPAC) method.
ACC	Adjusted Count (ACC) — baseline threshold correction.
X_method	X method — threshold where \(\text{TPR} + \text{FPR} = 1\).
MAX	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 \(|\text{TPR} - \text{FPR}| > 0.25\).
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.