Evaluation-the making of a judgment about the amount, number, or value of something; assessment
Domain Name-Is a websites name (ex-Google)
Authoritativeness-The quality of possessing authority. The quality of trustworthiness and reliability.
Accuracy-the quality or state of being correct or precise
Timeliness-the fact or quality of being done or occurring at a favorable or useful time.
Objectivity-the quality of being objective.
Writing Style and Mechanics-Style has to do with how a piece of writing sounds. Everyone has a style which develops along with their writing.
Paragraph structure: Each paragraph should begin with a topic sentence that provides an overall understanding of the paragraph. ...
Sentence length: Sentences should be kept as short as possible so that their structure is simple and readable.
Graphics-are visual images or designs
Links- is an open source text and graphic web browser with a pull-down menu system.
Answer:
The answer to this question is given below in the explanation section.
Explanation:
This question is about desinging a game that is played with two dice and gets or shows their value to the player.
The dice value is random, and it can be between one and six. So, you need to generate two numbers between 1 and 6. You may also need to display the numbers
The main part of this program is that you need to know the numbers to limit or restrict what the user may do next while playing.
That's most of the first level of decomposition for solving a problem. In decomposition, you need to keep decomposing (breaking) the problem into smaller pieces, thinking outline of the program and deciding what objects, functions, variables, and logic you're going to implement in the coding.
Answer:
The answer is nearest-neighbor learning.
because nearest neighbor learning is classification algorithm.
It is used to identify the sample points that are separated into different classes and to predict that the new sample point belongs to which class.
it classify the new sample point based on the distance.
for example if there are two sample points say square and circle and we assume some center point initially for square and circle and all the other points are added to the either square or circle cluster based on the distance between sample point and center point.
while the goal of decision tree is to predict the value of the target variable by learning some rules that are inferred from the features.
In decision tree training data set is given and we need to predict output of the target variable.
Explanation:
