How does the bias of the J48 algorithm manifest in its predictions?

This paper aims at predicting soil fertility class using decision tree algorithms in data mining . Further, it focuses on performance tuning of J48 decision ... Thanks to a collection of categorical data, we were able to apply the j48 algorithms of (ML) to create the workplace model of prediction. Overall, utilizing the ... In next phase for classification of flowers we have used classification techniques in which we found the accuracy score of j48 classifier is higher than Naïve ... In this sense, the performance of the proposed methodology was evaluated in a comparative way between the Random Forest and the type J48. Decision Tree. For ... Sep 5, 2017 ... The C4.5/J48 algorithm differs from the IDE3 as while building a decision tree, the algorithm can accept the continuous and the categorical ... Jul 12, 2019 ... In this study, a decision-making classifier (J48) is applied over a data-mining platform (Weka) to measure accuracy and linear regression on classification ... Sep 4, 2024 ... Various data mining technique models use machine learning combined with various algorithms, including the J48 algorithm. The J48 algorithm ... J48 landmarkers (with varying confidence factors) have better values on the ... The Decision Stump algorithm performs well only at predicting both the best ... Sep 11, 2019 ... ... algorithms were used to impute missing data. The RF classification approach and J48 algorithm were applied on original complete data and the ... Experimental results showed a significant improvement over the existing J-48 algorithm. Keywords. J48 Decision Tree, MATLAB, Data Mining, Diabetes,. WEKA. 1.