Answer:
Jackson was elected the seventh president of the United States in 1828. Known as the "people's president," Jackson destroyed the Second Bank of the United States, founded the Democratic Party, supported individual liberty and instituted policies that resulted in the forced migration of Native Americans.
Explanation:
The words of Thomas Paine in the phamplet <em>American Crisis </em>were enough to keep the revolution going and muster the troops under George Washington's command in 1776. In 1777, when they were suffering heavy losses due to the winter at Valley Forge, it was loyalty to the Patriot cause and to George Washington while training and doing drills that kept the troops busy and allowed for them to leave Valley Forge in 1778 more disciplined and spirited.
<span>The answer is letter A: Autocracy. Absolute monarch is closely similar to autocracy. Autocracy is like dictatorship, wherein it is considered to be a system of the government wherein absolute power is given to one person only, an example of this is Adolf Hitler and Ferdinand Marcos ruling system</span>
Answer:
a
Explanation:
People fought for peace. They want to keep the peace. They would do what ever it takes to keep the peace
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.
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