Question: J 2 Consider a data set in which the response is categorical and can take 3 values (classification problem): 1.2 or 3. Suppose that a

 J 2 Consider a data set in which the response is

J 2

categorical and can take 3 values (classification problem): 1.2 or 3. Suppose

Consider a data set in which the response is categorical and can take 3 values (classification problem): 1.2 or 3. Suppose that a record belongs to class 3. Suppose also that a classification model predicts the following probabilities for this record: The record belongs to class 1 with probability 0.2, to class 2 with probability 0.7 and to class 3 with probability 0.1 Question: use R to compute the cross- entropy loss of this model for this record. What is the value you obtain? 0 3.321928 0 0.154712 Q 0.264239 The 'rprop' algorithm is a variant of the descent algorithm that uses a different learning rate for each component of the gradient When we train a multilayer perceptron, what is the name of the learning phase in which information circulates from the input layer towards the output layer? @ feed the ward 0 feed forward 0 feed the masses

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