The System of Stress level prediction using Decision tree

Abstract

The purposes of this study ware: 1) to develop modeling of stress level prediction system using a decision tree, 2) to develop a system of stress level prediction using a decision tree, and  3) to evaluate the acceptance of stress level prediction system. The tools used PHP language to develop modeling of stress level predict system using decision tree techniques. Moreover, data from the samples were 2,000 internet users to answer stress assessment form. Moreover, Cross-validation test for testing of modeling the stress level predict. Therefore to develop of stress level prediction system then evaluate the acceptance of the system. The instruments of this study were: 1) stress level prediction system,             2) questionnaire of acceptance. Research samples were 30 people; the statistics used for analyzing the data were mean, standard deviation, frequency, percentage. The results of this study were: 1) the modeling to predict system level stress of 120  rules, and 91.10% for the accuracy of the model,  2) the level prediction system using decision tree via the website was www.predictstress.com. The system can predict levels of stress, and suggestions for management to stress and 3) acceptance of the stress level prediction system using decision tree techniques in  3 aspects;  content, design, and applications was an overall high level      ( 4.21). In conclusion, The system of stress level prediction using the decision tree to internet user via the website was www.predictstress.com.