The impact of using large training data set KDD99 on classification accuracy.
Atilla ÖzgürHamit ErdemPublished in: PeerJ Prepr. (2017)
Keyphrases
- knowledge discovery
- training set
- classification accuracy
- data sets
- knowledge discovery in databases
- training data
- kdd process
- knowledge discovery and data mining
- data mining
- training process
- text mining
- data mining techniques
- data mining applications
- test set
- training set size
- training examples
- feature selection
- input data
- benchmark data sets
- supervised learning
- test data
- naive bayes
- training samples
- real world
- data sources
- decision trees
- terms of classification accuracy
- machine learning