The output of training process in machine learning is
A. machine learning model
B. machine learning algorithm
C. null
D. accuracy
Answer: Option A
Solution(By Examveda Team)
The output of the training process in machine learning is:Option A: Machine Learning Model
The primary output of the training process in machine learning is the machine learning model itself. During training, the model learns patterns and relationships within the training data, and the result is a trained model that can make predictions or classifications when given new data. So, Option A is the correct answer.
Option B: Machine Learning Algorithm
While machine learning algorithms are essential components of the training process, they are not the direct output of training. Algorithms are used to train the model, but the model is the end result. Therefore, Option B is not the correct answer.
Option C: Null
The output of the training process is not null; it is a trained machine learning model. So, Option C is not the correct answer.
Option D: Accuracy
Accuracy is a performance metric used to evaluate the quality of a machine learning model. It is not the direct output of the training process but rather a measure of how well the model performs. Therefore, Option D is not the correct answer.
In summary, the primary output of the training process in machine learning is the trained machine learning model, making Option A the correct choice.
Related Questions on Machine Learning
In simple term, machine learning is
A. training based on historical data
B. prediction to answer a query
C. both A and B
D. automization of complex tasks
Which of the following is the best machine learning method?
A. scalable
B. accuracy
C. fast
D. all of the above
The output of training process in machine learning is
A. machine learning model
B. machine learning algorithm
C. null
D. accuracy
Application of machine learning methods to large databases is called
A. data mining.
B. artificial intelligence
C. big data computing
D. internet of things
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