1. A screw factory would like to identify flawed screws by using a machine learning (ML) algorithm. Suppose there are total P flawed screws among all the produced screws, but only n out of all the flawed screws are reported by the ML algorithm. Which one of the following measurements is used to describe the ratio of identified flawed screws (n/P)? (A) F1-score (B) False positives (C) Precision (D) Recall (E) True positives

1. A screw factory would like to identify flawed screws by using a machine learning (ML) algorithm. Suppose there are total P flawed screws among all the produced screws, but only n out of all the flawed screws are reported by the ML algorithm. Which one of the following measurements is used to describe the ratio of identified flawed screws (n/P)?
(A) F1-score
(B) False positives
(C) Precision
(D) Recall
(E) True positives

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統計： A(0), B(1), C(0), D(2), E(1) #2349676

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Bryce Zoran

B1 · 2020/09/02

#4249756

precision 和 recall 是...

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5. Which of the following statement is INCORRECT? (A) The basic objective of auto-encoder is to reproduce its inputs by using a smaller set of features. (B) In generative adversarial network (GAN), the discriminator often has access to both the synthetic and real sample. Its task is to try to differentiate them as accurate as possible. (C) Training recurrent neural networks (RNNs) is much easier than training convolution neural networks (CNNs). (D) In GAN, the generator has to provide information to the discriminator so that the discriminator can try to do a better job for classifying real and fake samples. (E) For CNNs, the convolution is essentially a filtering operation.

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