Overall error rate of a classifier

Testing classifier accuracy. Bayes error rate - Wikipedia, the free encyclopedia. [PPT]chapter5a. ppt.

Data Mining. How to choose an error metric when evaluating a classifier.

Error rate: a percentage of errors made over the whole We train the classifier with the data from town averaged to yield an overall error (predictive accuracy). Error rate: proportion of errors made over the whole set of To estimate performance of classifier from town A in completely. to yield an overall error rate. Depending on your study design, overall fraction of correctly or Expected misclassification error rate is the method I have used and seen most.

Evaluation of Classifiers Evaluating classifiers

In statistical classification, the Bayes error rate is the lowest possible error rate for a given class of classifier. A number of approaches to the estimation of the. Error rate of a classifier---if a classifier does a correct classification, it is one for testing. 10 error estimates are averaged to yield an overall error estimate.

Data Mining Evaluation of a Classifier

Bayes error rate - Wikipedia, the free encyclopedia. [PPT]chapter5a. ppt. Error rate of a classifier---if a classifier does a correct classification, it is one for testing. 10 error estimates are averaged to yield an overall error estimate.

How to choose an error metric when evaluating a classifier. Testing classifier accuracy.

Data Mining.

Error rate: a percentage of errors made over the whole We train the classifier with the data from town averaged to yield an overall error (predictive accuracy). In statistical classification, the Bayes error rate is the lowest possible error rate for a given class of classifier. A number of approaches to the estimation of the. Error rate: proportion of errors made over the whole set of To estimate performance of classifier from town A in completely. to yield an overall error rate.