Model,True Positives,False Negatives,False Positives,Fraud Caught ($),Fraud Missed ($),False Alarm Cost ($),Net Savings ($),Catch Rate (%)
LightGBM_Tuned,58,13,24,7088.25662601626,1588.7471747967481,120,6968.25662601626,81.69014084507043
XGBoost,57,14,6,6966.045304878049,1710.9584959349595,30,6936.045304878049,80.28169014084507
Voting_Ensemble,57,14,9,6966.045304878049,1710.9584959349595,45,6921.045304878049,80.28169014084507
XGBoost_Tuned,57,14,11,6966.045304878049,1710.9584959349595,55,6911.045304878049,80.28169014084507
MLP,56,15,25,6843.833983739838,1833.1698170731709,125,6718.833983739838,78.87323943661971
Random_Forest_Tuned,55,16,8,6721.622662601626,1955.3811382113822,40,6681.622662601626,77.46478873239437
Random_Forest,55,16,11,6721.622662601626,1955.3811382113822,55,6666.622662601626,77.46478873239437
Logistic_Regression,63,8,1229,7699.313231707318,977.6905691056911,6145,1554.3132317073178,88.73239436619718
LightGBM,52,19,3220,6354.988699186993,2322.0151016260165,16100,-9745.011300813007,73.23943661971832
Autoencoder,71,0,21209,8677.003800813009,0.0,106045,-97367.996199187,100.0