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For instance, to write the vector , write "1 5 -4 0".
The figure above depicts a distribution of "false" and "true" classes given a certain feature.
The figure also shows several potential places (a, b, c, d, e, f, g) where a threshold could be set.If the "true" class indicates a poisonous mushroom, which threshold should you use to be safe?Suppose you have an imbalanced dataset where we have the following classes and prior probabilities:
What is the value of the best accuracy that a dummy classifier would get?
The figure above depicts a distribution of "false" and "true" classes given a certain feature.
The figure also shows several potential places (a, b, c, d, e, f, g) where a threshold could be set.Select among the following curves the one which represents the right "Receiver Operating Characteristic" (ROC) curve corresponding to this distribution and thresholds.
What is the expected accuracy of a truly random classifier (which picks one of the possible classes with a uniform probability) if we have 6 classes with equal probabilities.
Please provide 2 significant digits.
Match each classifier category with its definition.
For instance, to write the vector , write "1 5 -4 0".
When training an image classifier, what do we need?
Match each pipeline with its definition.