QUESTION: 21

What is an example of a supervised machine learning algorithm that can be applied to a continuous numeric response variable?

linear regression
k-means
local outlier factor (LOF)
naive Bayes

Answer(s): A

Reference:

https://www.analyticsvidhya.com/blog/2017/09/common-machine-learning-algorithms/

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A neural network is trained for a classification task. During training, you monitor the loss function for the train dataset and the validation dataset, along with the accuracy for the validation dataset. The goal is to get an accuracy of 95%.

From the graph, what modification would be appropriate to improve the performance of the model?

increase the depth of the neural network
insert a dropout layer in the neural network architecture
increase the proportion of the train dataset by moving examples from the validation dataset to the train dataset
restart the training with a higher learning rate

Answer(s): D

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