FUNDAMENTALS OF COMPUTER

DATABASE FUNDAMENTALS

DATA WAREHOUSING AND DATA MINING

Question [CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
Classification accuracy is
A
A subdivision of a set of examples into a number of classes
B
Measure of the accuracy, of the classification of a concept that is given by a certain theory
C
The task of assigning a classification to a set of examples
D
None of the above
Explanation: 

Detailed explanation-1: -Explanation: Classification accuracy is a metric that summarizes the overall performance of a class version because of the wide variety of accurate predictions divided with the aid of using the overall wide variety of predictions.

Detailed explanation-2: -There are many ways for measuring classification performance. Accuracy, confusion matrix, log-loss, and AUC-ROC are some of the most popular metrics. Precision-recall is a widely used metrics for classification problems.

Detailed explanation-3: -Accuracy is one metric for evaluating classification models. Informally, accuracy is the fraction of predictions our model got right. Formally, accuracy has the following definition: Accuracy = Number of correct predictions Total number of predictions.

Detailed explanation-4: -Answer» B. measure of the accuracy, of the classification of a concept that is given by a certain theory.

Detailed explanation-5: -Accuracy The accuracy of a classifier is given as the percentage of total correct predictions divided by the total number of instances.

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