You are given reviews of few netflix series marked as positive, negative and neutral. Classifying reviews of a new netflix series is an example of
A. supervised learning
B. unsupervised learning
C. semisupervised learning
D. reinforcement learning
Answer: Option A
Solution (By Examveda Team)
In supervised learning, the model is trained on a labeled dataset, where each input (in this case, the Netflix reviews) is associated with a corresponding output label (positive, negative, or neutral).The goal is to teach the model to predict the correct label for new, unseen data based on the patterns it learned from the labeled examples.
Supervised learning uses labeled data to train the model, and the model is evaluated based on how accurately it classifies new, unlabeled data.
In this case, since the reviews are already labeled as positive, negative, or neutral, this is a typical example of supervised learning.
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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