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Metrics accuracy calculation utilities (Level 2 Extension placeholder).
"""
from typing import Dict
def compute_f1_score(precision: float, recall: float) -> float:
"""Computes F1 score from precision and recall."""
if precision + recall == 0:
return 0.0
return 2 * (precision * recall) / (precision + recall)
def calculate_accuracy_matrix(tp: int, fp: int, tn: int, fn: int) -> Dict[str, float]:
"""Calculates all essential classification metrics."""
total = tp + fp + tn + fn
accuracy = (tp + tn) / total if total > 0 else 0.0
precision = tp / (tp + fp) if (tp + fp) > 0 else 0.0
recall = tp / (tp + fn) if (tp + fn) > 0 else 0.0
f1 = compute_f1_score(precision, recall)
return {
"accuracy": accuracy,
"precision": precision,
"recall": recall,
"f1": f1
}
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