COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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0.63
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0.69
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0.75
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0.82
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Detailed explanation-1: -In terms of the best prediction of the test dataset, the best algorithms are Logistic Regression, Voting Classifier and Neural Network.
Detailed explanation-2: -Accuracy = (TP + TN) / (TP + TN + FP + FN)
Detailed explanation-3: -What is Binary Classification? In machine learning, binary classification is a supervised learning algorithm that categorizes new observations into one of two classes. The following are a few binary classification applications, where the 0 and 1 columns are two possible classes for each observation: Application.
Detailed explanation-4: -Area Under Curve(AUC) is one of the most widely used metrics for evaluation. It is used for binary classification problem. AUC of a classifier is equal to the probability that the classifier will rank a randomly chosen positive example higher than a randomly chosen negative example.