binary classification analysis with python
Budget: $10 – $30 USD
Hello everyone, This project is for placing bets of Bayern München
we have an 5 attributes. that should be a binary classification analysis.(winner ,looser)
-please try possible differences in the classes first
to be displayed on the basis of graphical evaluations (boxplots,
Histograms for the different classes)
-In addition, T-tests can be used
-In addition, train at least five different models (ideally
different classification concepts)
-Choose a suitable test method and evaluate the
models based on suitable metrics (Accuracy, TPR, FPR, ...)
-cost/benefit analysis based on the annual budget of the opposing team
we have an 5 attributes. that should be a binary classification analysis.(winner ,looser)
-please try possible differences in the classes first
to be displayed on the basis of graphical evaluations (boxplots,
Histograms for the different classes)
-In addition, T-tests can be used
-In addition, train at least five different models (ideally
different classification concepts)
-Choose a suitable test method and evaluate the
models based on suitable metrics (Accuracy, TPR, FPR, ...)
-cost/benefit analysis based on the annual budget of the opposing team