Troubleshoot my XGBoost R code, the log model is working

Troubleshoot my XGBoost R code classifier 1 or 0, the logistic model is working against the data set. However, my XGBoost R code does not work against the data set as the confusion matrix produces

pred 0 1

0 0 0

1 423 465

when it should produce something like

pred 0 1

0 338 350

1 85 115

Deliverables

working XGBoost code versus my provided data set broken into training and test subsets with the confusion matrix outcome shown greater than 0.55. Example from the logistics code:

[login to view URL] <- predict(m1,type = "response")

[login to view URL] <- ifelse([login to view URL] > 0.55, "1", "0")

attach(nfl_train)

table([login to view URL],ATS)

sum([login to view URL] == 1 & ATS == 1 & push == 0)/sum([login to view URL] == 1 & push == 0)

Langage de programmation R Statistiques Analyses statistiques Algorithme Mathématiques

Nº du projet : #30492699

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