LightGBM Iteration관련

안녕하세요

LightGBM Iteration관련 문의드립니다.

설명해 주신 코드로 작성하였으나 이터레이션마다 Score가 표시되지 않습니다

verbose를 100으로 설저했는데 다음과 같이만 조회됩니다.

이유가 무엇일까요?

LightGBM] [Debug] Trained a tree with leaves = 32 and depth = 10 [LightGBM] [Debug] Trained a tree with leaves = 32 and depth = 10 [LightGBM] [Debug] Trained a tree with leaves = 32 and depth = 8 [LightGBM] [Debug] Trained a tree with leaves = 32 and depth = 9 [LightGBM] [Debug] Trained a tree with leaves = 32 and depth = 8 [LightGBM] [Debug] Trained a tree with leaves = 32 and depth = 10 [LightGBM] [Debug] Trained a tree with leaves = 32 and depth = 11 [LightGBM] [Debug] Trained a tree with leaves = 32 and depth = 9 [LightGBM] [Debug] Trained a tree with leaves = 32 and depth = 11 Early stopping, best iteration is: [902] training's binary_logloss: 0.210459 valid_1's binary_logloss: 0.242339

from lightgbm import LGBMClassifier

clf = LGBMClassifier(

        n_jobs=-1, # CPU성능

        n_estimators=1000, #1000개 tree

        learning_rate=0.02, #학습률 낮을수록 정교함

        num_leaves=32, # 가지치기 수

        subsample=0.8, #활용할 sample비중

        max_depth=12, #가지깊이

        verbose=100, #출력메세지 최소화

        early_stopping_rounds= 50,

        eval_metric= 'auc'

        )

clf.fit(train_X, train_y, eval_set=[(train_X, train_y), (valid_X, valid_y)])