###模型评估

• SVM

accuracy: 0.5908296094812512
precision: 0.5892913622821696
recall: 0.5796640802646359
[[2002 2790]
 [1422 4080]]

• linearSVM

accuracy: 0.5982125510005829
precision: 0.5951144606880148
recall: 0.5929932369410061
[[2479 2313]
 [1823 3679]]

• logic regression

accuracy: 0.5970468233922673
precision: 0.5939135862562013
recall: 0.5917950082198065
[[2471 2321]
 [1827 3675]]

• GaussianNB

accuracy: 0.5640178744899942
precision: 0.5610762423300895
recall: 0.5606951850563977
[[2456 2336]
 [2152 3350]]

• Decision Tree

accuracy: 0.5217602486885564
precision: 0.520527992140992
recall: 0.5205985955023791
[[2414 2378]
 [2545 2957]]

• Random Forest

accuracy: 0.5490577035166117
precision: 0.5537443439087129
recall: 0.5532844256360868
[[2945 1847]
 [2795 2707]]