lightgbm metric可选指标

metric,
default=
{l2 for regression},
{binary_logloss for binary classification},
{ndcg for lambdarank},
type=multi-enum,
options=l1, l2, ndcg, auc, binary_logloss, binary_error …

• l1, absolute loss, alias=mean_absolute_error, mae
• l2, square loss, alias=mean_squared_error, mse
• l2_root, root square loss, alias=root_mean_squared_error, rmse
• quantile, Quantile regression
• huber, Huber loss
• fair, Fair loss
• poisson, Poisson regression
• ndcg, NDCG
• map, MAP
• auc, AUC
• binary_logloss, log loss
• binary_error, 样本: 0 的正确分类, 1 错误分类
• multi_logloss, mulit-class 损失日志分类
• multi_error, error rate for mulit-class 出错率分类
• xentropy, cross-entropy (与可选的线性权重), alias=cross_entropy
• xentlambda, “intensity-weighted” 交叉熵, alias=cross_entropy_lambda
• kldiv, Kullback-Leibler divergence, alias=kullback_leibler
• 支持多指标, 使用 , 分隔