摘要：
微调后： Best score: 0.983Best parameters set: clf__C: 10 clf__penalty: 'l2' vect__max_df: 0.5 vect__max_features: None vect__ngram_range: (1, 2) vect__st 阅读全文
摘要：
AdaBoost precision recall f1-score support 0 0.83 0.85 0.84 634 1 0.84 0.82 0.83 616 accuracy 0.83 1250 macro avg 0.83 0.83 0.83 1250weighted avg 0.83 阅读全文
摘要：
from sklearn.metrics import confusion_matrix import matplotlib.pyplot as plt y_test = [0, 0, 0, 0, 0, 1, 1, 1, 1, 1] y_pred = [0, 1, 0, 0, 0, 0, 0, 1, 阅读全文