1.5 KiB
1.5 KiB
1 | method | metric | max | mean |
---|---|---|---|---|
2 | Dummy | test_accuracy | 1.0 | 0.8524114578096439 |
3 | Dummy | test_average_precision | 0.7 | 0.14758854219035614 |
4 | Dummy | test_recall | 0.0 | 0.0 |
5 | Dummy | test_f1 | 0.0 | 0.0 |
6 | logistic_reg | test_accuracy | 0.9824561403508771 | 0.8445351955631311 |
7 | logistic_reg | test_average_precision | 1.0 | 0.44605167668563583 |
8 | logistic_reg | test_recall | 1.0 | 0.25353566685532386 |
9 | logistic_reg | test_f1 | 0.823529411764706 | 0.27951926390778625 |
10 | svc | test_accuracy | 1.0 | 0.8524114578096439 |
11 | svc | test_average_precision | 0.9612401707068228 | 0.44179454944271934 |
12 | svc | test_recall | 0.0 | 0.0 |
13 | svc | test_f1 | 0.0 | 0.0 |
14 | gaussian_naive_bayes | test_accuracy | 0.9 | 0.7491301746887129 |
15 | gaussian_naive_bayes | test_average_precision | 0.9189430193277607 | 0.2833170327386991 |
16 | gaussian_naive_bayes | test_recall | 1.0 | 0.3743761174081108 |
17 | gaussian_naive_bayes | test_f1 | 0.7000000000000001 | 0.2698456659235668 |
18 | stochastic_gradient_descent | test_accuracy | 1.0 | 0.7926428596764739 |
19 | stochastic_gradient_descent | test_average_precision | 1.0 | 0.4421948838597582 |
20 | stochastic_gradient_descent | test_recall | 1.0 | 0.30156420704502945 |
21 | stochastic_gradient_descent | test_f1 | 0.8148148148148148 | 0.24088393234361388 |
22 | random_forest | test_accuracy | 1.0 | 0.8722158105763481 |
23 | random_forest | test_average_precision | 1.0 | 0.49817066323226833 |
24 | random_forest | test_recall | 1.0 | 0.18161263127840668 |
25 | random_forest | test_f1 | 1.0 | 0.2508096532365307 |
26 | xgboost | test_accuracy | 1.0 | 0.8812627400277729 |
27 | xgboost | test_average_precision | 1.0 | 0.5505695112208401 |
28 | xgboost | test_recall | 1.0 | 0.2896161238315027 |
29 | xgboost | test_f1 | 0.9411764705882353 | 0.36887408735855665 |