Predicting Teens Stress According to Behavioural Activity of Parents Using Naive Bayes Classifier
Keywords:
Supervised Learning, Classification Algorithm, Naive BayesAbstract
In today world, depression is a major issue for teenagers. Even depression leads to committing suicides or to addict for drugs or leads to any illegal activities etc,. For the successful future of teenagers parents should have more responsibility. In this paper the work is carried out to find the stress level of teenagers if parents are working (Father & Mother).Researchers are using classifier techniques in the field of Medical , Academic, Bioinformatics , Bio computing etc. Using the supervised learning techniques to evaluate the teenagers from the dataset given. Based on the Evaluation to find the teenagers stress level according to parent’s behavior. This research will be useful to control or avoid stress factors among teenagers. We can also improve the parental care to teenagers. Using the classification algorithm we can predict the stress level of teenagers.
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