LightGBM] [Warning] No further splits with positive gain, best gain: -inf

  1. No further splits with positive gain:这个警告表示在某些叶子节点上无法找到进一步的分裂,可能是由于数据特征分布不均匀或参数设置不当导致的。可以尝试增加树的深度(max_depth参数)或增加叶子节点的数量(num_leaves参数)。

  2. Accuracy may be bad since you didn't explicitly set num_leaves OR 2^max_depth > num_leaves:这个警告表示num_leaves参数设置可能不合适。可以尝试设置num_leaves参数为一个合适的值,或者根据max_depth参数来确定num_leaves的值。

  3. Found whitespace in feature_names, replace with underlines:这个警告表示特征名称中存在空格,建议将空格替换为下划线或其他合适的字符。

为了解决这些警告,您可以尝试调整LightGBM模型的参数,例如调整max_depth、num_leaves等参数,并确保数据特征的质量和格式正确。另外,也可以尝试对数据进行预处理,例如特征缩放、特征选择等操作,以提高模型的性能和准确性。

# 设置 LightGBM 参数(正则化和复杂度控制) > param <- list( + objective = "regression", + metric = "rmse", + learning_rate = 0.01, + num_leaves = 31, + feature_fraction = 0.8, + bagging_fraction = 0.8, + lambda_l1 = 0.1, + lambda_l2 = 0.2 + ) > > # 使用早停机制训练 LightGBM > lgb_model <- lgb.train( + params = params, + data = lgb_train, + nrounds = params$nrounds, + valids = list(validation = lgb.Dataset(test_matrix, label = test_labels)), + early_stopping_rounds = 10, + verbose = 1 + ) [LightGBM] [Info] Number of positive: 231, number of negative: 154 [LightGBM] [Info] Auto-choosing row-wise multi-threading, the overhead of testing was 0.000443 seconds. You can set `force_row_wise=true` to remove the overhead. And if memory is not enough, you can set `force_col_wise=true`. [LightGBM] [Info] Total Bins 792 [LightGBM] [Info] Number of data points in the train set: 385, number of used features: 13 [LightGBM] [Info] [binary:BoostFromScore]: pavg=0.600000 -> initscore=0.405465 [LightGBM] [Info] Start training from score 0.405465 [LightGBM] [Warning] No further splits with positive gain, best gain: -inf [LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements [1]: validation's binary_error:0.395833 Will train until there is no improvement in 10 rounds. [LightGBM] [Warning] No further splits with positive gain, best gain: -inf [LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements [2]: validation's binary_error:0.395833 [LightGBM] [Warning] No further splits with positive gain, best gain: -inf [LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements [3]: validation's binary_error:0.395833 [LightGBM] [Warning] No further splits with positive gain, best gain: -inf [LightGBM] [Warning] Stopped training because there are no more leaves that meet the split requirements [4]: validation's binary_
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03-16
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