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Doctors Medicines MCQs Q&A

The toadfish, used as models for hepatic encephalopathy are bottom-dwellers.

The toadfish, used as models for hepatic encephalopathy are bottom-dwellers. Correct Answer True

The toadfish Porichthys notatus is a bottom-dweller that grazes on sediments in search of worms, molluscs, crustaceans and other fish. To save themselves from other predators, the toadfish excrete high amounts of urea.

Related Questions

In addition to hepatic encephalopathy, the toadfish is also used as a model for _______________
Below are the two ensemble models: 1. E1(M1, M2, M3) and 2. E2(M4, M5, M6) Above, Mx is the individual base models. Which of the following are more likely to choose if following conditions for E1 and E2 are given? E1: Individual Models accuracies are high but models are of the same type or in another term less diverse E2: Individual Models accuracies are high but they are of different types in another term high diverse in nature
Precipitating factors of hepatic encephalopathy includes
Factors precipitating hepatic encephalopathy include
Hepatic encephalopathy in humans is caused due to ____________
Regarding bias and variance, which of the following statements are true? (Here 'high' and 'low' are relative to the ideal model.
i. Models which overfit are more likely to have high bias
ii. Models which overfit are more likely to have low bias
iii. Models which overfit are more likely to have high variance
iv. Models which overfit are more likely to have low variance
Regarding bias and variance, which of the following statements are true? (Here 'high' and 'low' are relative to the ideal model. (i) Models which overfit are more likely to have high bias (ii) Models which overfit are more likely to have low bias (iii) Models which overfit are more likely to have high variance (iv) Models which overfit are more likely to have low variance
In a car showroom different models of car are on display. There are two models of 800 cc car and four models of 1500 cc car. What is the probability that a customer will choose am 800 cc car?
Suppose, you want to apply a stepwise forward selection method for choosing the best models for an ensemble model. Which of the following is the correct order of the steps? Note: You have more than 1000 models predictions.
1. Add the models predictions (or in another term take the average) one by one in the ensemble which improves the metrics in the validation set.
2. Start with empty ensemble
3. Return the ensemble from the nested set of ensembles that has maximum performance on the validation set
Suppose, you have 2000 different models with their predictions and want to ensemble predictions of best x models. Now, which of the following can be a possible method to select the best x models for an ensemble?