In many classification problems, the target dataset is made up of categorical labels which cannot immediately be processed by any algorithm. An encoding is needed and scikit-learn offers at least . . . . . . . . valid options
A. 1
B. 2
C. 3
D. 4
Answer: Option B
Solution(By Examveda Team)
In many classification problems, the target dataset consists of categorical labels that cannot be directly processed by machine learning algorithms. Therefore, encoding techniques are needed to convert categorical labels into a numerical format that algorithms can handle. Scikit-learn offers at least two valid options for encoding categorical labels: Label Encoding and One-Hot Encoding.Therefore, the correct answer is Option B: 2.
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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