Widiharto <br/><br/>
Research on naive bayes by using rapid miner device 

 - Vol.24(1), Jan-Feb 
 - Haryana  IOSR - International Organization of Scientific Research  2022 
 - 12-14p. 
<br/><br/> Data mining is a procedure used to evaluate and find the hidden knowledge of a database. It is applicable in<br/>various sectors such as weather forecast, hospitals, business industries and many more. Currently, education<br/>data mining is the most useful application used to analyze data related to student performance, course outlines,<br/>and faculty performance. This paper describes different classification techniques by using large and small<br/>datasets. These two datasets are dataset examples used through repository sites. Several instances depend upon<br/>these sites. These data sets are applied on Naive Bayes type to show that it is the first-class classifier from small<br/>and big statistics sets. This paper offers the observe and evaluation of numerous methodologies used for<br/>prediction. Based on observation, Naïve Bayes is more appropriate for small datasets based at the assessment<br/>executed on this paper the use of numerous methodologies pushed through the RapidMiner device whilst<br/>equating precision, consider and accuracy. 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Computer Engineering