Your answer will be option b. They come in many different forms and sizes and are found practically everywhere.
Answer:
i)True
ii)False
Explanation:
i. True
The data given is linearly separable. So, the subset of the data will also be linearly separable. And it will pass for all training data as the model is trained using the training set.
The output using a training set guarantees a hyper plane that perfectly fits and the data sets are separated accordingly.
ii. False
Since the data of the validation set is not known, so it may not result in 100 percent accuracy and there will be errors on the data sets.
Even though the perceptron works well with the training set, it may take a bad decision boundary as the samples are unknown.
Answer:
Is is also a computer science acronym that implies bad input will result in bad output. Requiring valid input also helps programs avoid errors that can cause crashes and other erratic behavior.
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Answer:
D
Explanation:
snowflakes cant dance.Its a human things.