10-fold cross validation results for testing data set setting

Context in source publication

Context 1

... using 10-fold cross validation, secondly we divide the data set in training and testing datasets using the calendar time of the allocation records, allocation records till date 30 Sep 2011 (older data set) are training and remaining data points are testing. Table 6 represents the 10-fold cross validation accuracy on various classification techniques including Ensemble classifiers. Ensemble classifiers and Random Forest with bagging are reporting highest F-measure as 0.742 and 0.739 respectively. ...