As a conclusion, we find that there is a negative correlation between rate of violence against women and educational level that when educational level increases violation rate decreases but this is not a strong correlation. Also, we cannot find a relation between violence rate and GDP per capita.
Then,we construct two models which are decision tree and k-nearest neighbour model. The decision tree does not give a precise conclusion because according to our calculations, the half of them are correct. The regression model gives almost similar proportion but it is not a machine learning technique. The k-nearest model is good for to analyze out data set but it does not give a clear conclusion.
In the project, we tried to examine different data sources and different years but we can only find the violence data in 2014 so we cannot say exact conclusion.
Woman Violence Data Analysis 