… The classification is one of the major tasks in data mining. The idea behind this is to classify
the given data records into one … Classification tasks can make use of any one strategy. If the …

… for predicting diseases namely classification, clustering, … kidney diseases using classification
algorithms such as … the best classification algorithm based on the classification accuracy …

… data mining … data mining classification algorithms and use them to predict default risks,
avoid possible payment difficulties, and reduce potential problems in extending credit. The data …

… In fact, several classification algorithms; including SimpleLogistic, Instance-based k-nearest …
data mining and knowledge discovery tool; Weka, we managed to pick the classification …

… algorithm, not a classification algorithm. … , a classification algorithm finds relationships
between the values of the predictors and the values of the target. Different classification algorithms …

… of existing data mining classification algorithms. … data mining classification algorithms, and
then it assigns the classes that correspond to these rules, to the objects that must be classified…

… different classification techniques of data mining. Methods: In this paper some data mining
techniques like Decision tree algorithm, … Findings: Each algorithm has its own advantages and …

… See Table 1, it shows a summary of examples some of the supervised learning
classification algorithms. It shows a discussion of their strengths and limitations when handling …

… the development of data mining models for predicting student performance by using four
data mining algorithms for classification – a Rule Learner, a Decision tree algorithm, a Neural …

… analyzes data set properties to find relations between them and the classification algorithms
… , this could also be caused by the classification algorithm itself. To really see the difference …