Related Questions

A university library budget committee must reduce exactly five of eight areas of expenditure—I, J, K, L, M, N, O and P—in accordance with the following conditions: If both I and O are reduced, P is also reduced.
If L is reduced, neither N nor O is reduced.
If M is reduced, J is not reduced.
Of the three areas J, K, and N exactly two are reduced. Question : If both K and N are reduced, which one of the following is a pair of areas neither of which could be reduced?
Can error in recall due to false minima be reduced?
How can error in recall due to false minima be reduced?
How can false minima be reduced in case of error in recall in feedback neural networks?
What is the other way to reduce error in recall due to false minima apart from stochastic update?
Presence of false minima will have what effect on probability of error in recall?
Why there is error in recall, when number of energy minima is more the required number of patterns to be stored?
8.False minima can be reduced by deterministic updates?
How is effect false minima reduced
Imagine, you are solving a classification problems with highly imbalanced class. The majority class is observed 99% of times in the training data. Your model has 99% accuracy after taking the predictions on test data. Which of the following is true in such a case?
1. Accuracy metric is not a good idea for imbalanced class problems.
2.Accuracy metric is a good idea for imbalanced class problems.
3.Precision and recall metrics are good for imbalanced class problems.
4.Precision and recall metrics aren't good for imbalanced class problems.