Final answer:
Factors like computational effort and the rate of false positives/negatives are key in determining the efficiency and accuracy of a system. Efficiency relates to the system's required work for tasks, while accuracy is about error rates in output. Hence, option (4) is correct.
Step-by-step explanation:
The factors that determine the efficiency and accuracy of a system can be multifaceted, involving aspects of both the operation and measurement of the system. In assessing system performance, efficiency is frequently influenced by factors such as performance overhead and computational effort. These terms indicate how much extra processing is required by a system to perform its functions and how much computational power is needed to accomplish tasks, respectively.
On the other hand, accuracy can be affected by the incidence of false positives or false negatives, which represent the errors in correctly identifying events or conditions.
Returning to the original question, the correct answer among the options provided is "Computational effort and false positives/negatives". Computational effort affects efficiency by determining how much work the system must perform for a given task. Simultaneously, the accuracy is directly impacted by the rate at which false positives, or false negatives, occur in the system's outputs.