获取 rov 数据

main.py

@@ -153,7 +153,7 @@ class LightGBM(object):
         y_pred = bst.predict(x, num_iteration=bst.best_iteration)
         pred_score_df = pd.DataFrame(list(y_pred), columns=['pred_score'])
         temp = sorted(list(y_pred))
-        yuzhi = temp[int(len(temp) * 0.9) - 1]
+        yuzhi = temp[int(len(temp) * 0.75) - 1]
         y_pred_binary = [0 if i <= yuzhi else 1 for i in list(y_pred)]
         pred_label_df = pd.DataFrame(list(y_pred_binary), columns=['pred_label'])
         score_list = []