Human Mind Mining on Frustration and Depression Using Data Mining

Abstract

This paper shows a simple approach for increasing people's frustrations and we will study how to overcome human depression, how to simplify life by taking away the pleasures of life with regression classifier. We have studied people's frustrations and depression. This paper has also worked on how to reduce the effects of dopamine. The effect of medicine has also been on how it plays a role in the human body. This approach is implemented as an android application system and tested against a data set based on the opinions of many people. We used K Neighbor Classifier model. We achieved classification accuracy of approximately 73% on the test set which is a decent result considering the relative simplicity of the model. This results may be improved in several ways that are described in the article as well.