Question

5.
When comparing Supervised with Unsupervised learning, is this sentence True or False?
In contrast to Supervised learning, Unsupervised learning has more models and more evaluation meth
used in order to ensure the outcome of the model is accurate,
O
False
True​

Answer 1

Explanation:

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Answer 2

In contrast to Supervised learning, Unsupervised learning has more models and more evaluation meth used in order to ensure the outcome of the model is accurate. This statement is overall a false statement.

An unsupervised learning model might give a less accurate outcome if compared to supervised learning.

1. Algorithms of unsupervised learning are taught using the data that are unlabeled.

2. The model of unsupervised learning doesn't take any feedback.

3. In unsupervised learning, we see that only input data is supplied to the model, no output data.

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