method,metric,max,mean
Dummy,test_accuracy,1.0,0.8524114578096439
Dummy,test_average_precision,0.7,0.14758854219035614
Dummy,test_recall,0.0,0.0
Dummy,test_f1,0.0,0.0
logistic_reg,test_accuracy,0.9824561403508771,0.8445351955631311
logistic_reg,test_average_precision,1.0,0.44605167668563583
logistic_reg,test_recall,1.0,0.25353566685532386
logistic_reg,test_f1,0.823529411764706,0.27951926390778625
svc,test_accuracy,1.0,0.8524114578096439
svc,test_average_precision,0.9612401707068228,0.44179454944271934
svc,test_recall,0.0,0.0
svc,test_f1,0.0,0.0
gaussian_naive_bayes,test_accuracy,0.9,0.7491301746887129
gaussian_naive_bayes,test_average_precision,0.9189430193277607,0.2833170327386991
gaussian_naive_bayes,test_recall,1.0,0.3743761174081108
gaussian_naive_bayes,test_f1,0.7000000000000001,0.2698456659235668
stochastic_gradient_descent,test_accuracy,1.0,0.7926428596764739
stochastic_gradient_descent,test_average_precision,1.0,0.4421948838597582
stochastic_gradient_descent,test_recall,1.0,0.30156420704502945
stochastic_gradient_descent,test_f1,0.8148148148148148,0.24088393234361388
random_forest,test_accuracy,1.0,0.8722158105763481
random_forest,test_average_precision,1.0,0.49817066323226833
random_forest,test_recall,1.0,0.18161263127840668
random_forest,test_f1,1.0,0.2508096532365307
xgboost,test_accuracy,1.0,0.8812627400277729
xgboost,test_average_precision,1.0,0.5505695112208401
xgboost,test_recall,1.0,0.2896161238315027
xgboost,test_f1,0.9411764705882353,0.36887408735855665