What are the challenges of inferring causality from observational data using decision trees?

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 ... Jul 27, 2022 ... It involves systematic analysis of large data sets. The classification is used to manage data, sometimes tree modelling of data helps to make ... the J48 Decision Tree algorithm and the combination of J48 with Freeling and Leffe ... the J48 Decision Tree algorithm over all eval- uation datasets are ... Specifically, we have used the Random Forest and J48 algorithms to obtain a sustainable and practicable model to detect various stages of CKD with comprehensive ... Feb 9, 2024 ... 1 Answer 1 · it is a numeric class attribute. – Adnan Abass. Commented Feb 10, 2024 at 8:24 · 1. That's your problem then, as J48 is a ... J48, with its roots in the C4.5 algorithm, offers a compelling blend of simplicity, interpretability, and accuracy. It empowers you to make data-driven ... Thus, it is modified as. Kendall's New Rank Correlation Coefficient J48 algorithm (KNJ48) for better performance. Key words - Data mining, Classification, ... algorithm "Rainbow" has no impact on J48 decision tree algorithm. After all, we concluded that there is no need for removing stop words, because according ... [16] data can be collected by different means like by using distributed questioner also; LR, J48, and ANN. Decision Tree classification technique gave better ... Weka provides several decision tree algorithms in its environment. We used the Decision Tree algorithm J48, similar to the known induction algorithm called ...