J48 decision tree pdf

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This second phase of classification is called the testing phase. Well known supervised machine learning techniques include decision tree based algorithms like C4
The C4.5, ID3, CART, J48 decision tree are applied on the data of students to predict their performance. (Gaganjot Kaur, 2014). 1.3 Classification of Algorithms.
CART (Classification and Regressing. Tree) is a well-known program, used in the designing of decision trees. Decision trees make use of the IDE3, C4.5 and
Sep 14, 2016 –
Keywords— Machine learning, Data mining, Decision trees, C4.5, J48, Tree Pruning, Reduced error pruning. INTRODUCTION. Decision trees are utilized to
on probability and j48 algorithm is based on decision tree. The paper sets out to make comparative evaluation of classifiers NAIVE BAYES AND J48 in theset up using different kinds of classification tree algorithms with dif- ferent pruning methods The J48 algorithm is WEKA’s implementation of the C4.5 decision tree learner. Classification trees. cs.uu.nl/docs/vakken/adm/trees.pdf.
Decision tree. (J48) applied in the context of law enforcement and intelligence analysis holds the promise of alleviating such problem. Data mining is a way to
Jul 28, 2017 –
This paper aims at predicting soil fertility class using decision tree algorithms in data mining . Further, it focuses on performance tuning of J48 decision tree

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