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ISSN 2063-5346
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PREDICTING ONLINE RUMMY GAME MENTAL DISORDER CAUSED IN YOUNGSTERS USING DBN COMPARED OVER DECISION TREES WITH IMPROVED ACCURACY

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K.mohan krishna, S. Subbiah
» doi: 10.31838/ecb/2023.12.sa1.484

Abstract

Aim:Predicting online rummy game mental disorder caused in youngsters using Deep belief network compared over decision tree with improved accuracy. Materials and Methods:The Deep belief network(N=10) and decision tree Algorithm (N=10) these two algorithms are calculated by using 2 Groups and I have taken 20 samples for both algorithm and accuracy in this work. Results: Based on the Results Accuracy obtained in terms of accuracy is identified by Deep belief network algorithm (65.3%)over decision tree algorithm(75.9%).Statistical significance difference between Deep belief network algorithm and decision tree Algorithm was found to be 0.220 (p<0.05). Conclusion: The Prediction online rummy game mental disorder caused in youngsters using Deep belief network when compared with decision tree algorithm.

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