首次提交本地代码

evaluation/f1.py

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+from sklearn.metrics import f1_score, precision_score, recall_score
+
+
+def evaluate(y_true: list, y_pred: list) -> float:
+    """
+    F1评估方法
+    :param y_true: 真实标签
+    :param y_pred: 检测标签
+    :return: f1、recall、precision
+    """
+    f1 = f1_score(y_true, y_pred)
+    return f1