1) psychologists are trained to see pathology
2)base rate consequences-they occur only infrequently
The Operating Characteristic Curve (OCC) resembles a "b-h" shape because it reflects the trade-off between true positive rates (sensitivity) and false positive rates in a binary classification system. Initially, as the threshold for classification is lowered, both true positives and false positives increase, creating the upward slope. However, as the threshold continues to decrease, the rate of true positives may plateau while false positives rise more sharply, resulting in the "b-h" shape. This curve helps to visualize the performance of a classifier across different decision thresholds.
ELISA tests are generally considered to be highly accurate for detecting specific proteins, antibodies, or antigens in a sample. Their sensitivity and specificity can vary depending on the assay design and the target analyte, but many ELISA tests achieve sensitivity and specificity rates above 90%. However, false positives and false negatives can occur, so results should be interpreted in conjunction with clinical findings and other diagnostic tests for a comprehensive evaluation.
The accuracy of Automated Fingerprint Identification Systems (AFIS) can vary depending on the quality of the fingerprints collected, the algorithms used, and the size of the database. Generally, AFIS systems can achieve high accuracy rates, often exceeding 95% in matching fingerprints, particularly when comparing high-quality prints. However, false positives and false negatives can occur, especially with low-quality or partial prints. Continuous advancements in technology and algorithms are helping to improve the reliability of these systems.
High rates
T
Different metabolic rates.
false
it false ;D
Because they are stupid
False it is not constant
False
False