Answer: Option (B)
Explanation:
L.F.L rule is abbreviated as Lot for Lot rule , and is known as the method or technique utilized for the lot sizing,under which the system in regards with the net requirements that are placed for the respective time period as the order quantity. This approach is generally used for the expensive commodities or the commodities sporadically required.
The correct answer to this open question is the following.
Your question is incomplete. You did not specify who Genie is. You did not add more information to know what you are talking about: if this is a character of a book, a character of a movie, or if it is a person or not.
However, doing some deep research trying to help you, we found that Genie is the main character of a documentary called "Genie: Secret of the Wild Child."
The documentary refers to the real-life case of a girl who spent most of her childhood in confinement, inside a bedroom. So this environment affected her ability to use language to communicate because nobody taught her how to speak, she lived alone. No examples to follow. That is why never really developed motor skills such as walking, writing, or playing. She also never develop bonds with people. She was completely isolated by cruel people. Of course, when police knew about this case in Los Angeles, California, Genie's parents were accused of child abuse.
In the context End-To-End Measure for Text's crucial to evaluate the performance of text recognition and text line detection engines before comparing systems and configurations. Both jobs have established metrics that can be used independently.
To evaluate the effectiveness of a system that combines text line detection with text recognition, however, there is no sophisticated system in place.
A well-known methodology that is occasionally applied in this context is the F-measure on word level. However, it can produce misleading findings because it does not account for the alignment of the hypothesis and the ground truth text. There is a considerable demand for such a metric since users of automatic information retrieval pipelines in the context of text recognition are primarily interested in the end-to-end performance of a given system.
As a result, we offer a metric to assess a text recognition system's overall quality. The widely accepted character error rate serves as the foundation for this measurement and is only applicable to aligned hypothesis and ground truth texts in its original form. The suggested measure is adaptable in that it may be set up to punish various reading orders between the hypothesis and the actual data as well as take into consideration the text lines' geometric positions. It also has the ability to disregard the over- and under-segmentation of text lines. It is possible to obtain a measure that best suits its own demands using these factors.
To know more about Hypothesis visit: In the
brainly.com/question/28104822
#SPJ4
Answer: MAPE
Explanation: MAPE (Mean Absolute Percentage Error (MAPE) is a statistical measure of how accurate a forecast system is. It measures the size of the error in percentage terms.This scale sensitivity renders the MAPE close to worthless as an error measure for low-volume data where as MAD (Mean Absolute Deviation) measures the size of the error in units. Hence MAPE would be a more meaningful measure of forecast accuracy.
Answer:
inattentional deafness
Explanation:
Richard failed to respond to auditory alarms (roomate's question) under high workload situations(reading a mystery novel). This failure, termed inattentional deafness, is often attributed to high workload when involved with visuals as a result, which reduces one's capacity for information processing