Error in eval(family$initialize) : y值必需满足0 <= y <= 1
【报错原因】 变量选择有问题，不可以是字符串，必须是0和1的二分类变量 【解决方法】 更换因变量,把因变量转为0，1二分类
![Error in chol.default(crossprod(x)) :the leading minor of order 3 is not positive definite Error in rdrobust::rdrobust(y = WD[, var_dependent], x = WD[, var_independent[i]], :-决策链社区论坛](https://bbs.statsape.com/wp-content/uploads/2025/04/20250416150206155-149-300x75.jpg)
![Error in rdrobust::rdbwselect(y = WD[, var_dependent], x = WD[, var_independent[i]], :-决策链社区论坛](https://bbs.statsape.com/wp-content/uploads/2025/04/20250416150049670-148-300x53.jpg)
3 nodes produced errors;, first error: matrix multiplication: incompatible matrix dimensions:5595×2 and 4×1
【报错原因】 模型不拟合 【解决方法】 换变量，数据，模型数量
Error in gbmt::gbmt(x.names = var_independent, unit = var_dependent, time = var_time, :Unit ‘5’ has duplicated time points
【报错原因】 数据问题，有重复值 【解决方法】 更换数据或变量
=", ">"), ret.second(split_index), :Unknown decision_type-决策链社区论坛" class="lazyload fit-cover radius8">Error in ifelse(decision_type %in% c(“>=”, “>”), ret.second(split_index), :Unknown decision_type
【报错原因】 对于lightgbm 数据存在数值类别，变成字符类别 【解决方法】 https://github.com/ModelOriented/treeshap/issues/28
Error: You should have at least two distinct break values. Value cannot be null. (Parameter ‘s’)
【报错原因】模型拟合问题【解决方法】更换模型或变量
Error in gbm.unify(model, data):Models built on data with categorical features are not supported – please encode them before training.
【报错原因】 类别数据需要encode 【解决方法】 前面链接 独热编码+标签转换编码+转换变量类型 进行encode
Error in confusionMatrix,default(as.factor(y pred label)reference = as.factorly label): The data must contain some levels that overlap the reference…
【报错原因】 DCA绘图里：y_pred_label <- as.numeric(y_pred_score > thresh)cm <- confusionMatrix(as.factor(y_pred_label), reference = as.factor(y_label))$table 【解决方法】 ...
Error in gbm.fit(x = x, y = y, offset = offset, distribution = distribution, :The data set is too small or the subsampling rate is too large: nTrain * bag.fraction <= n.minobsinnode
【报错原因】 数据量太小或者Minnodesize太大 【解决方法】 增大数据量，或者输入小一点的minnodesize
Error in ranger::ranger(dependent.variable.name = task$target_names, data = task$data(), :User interrupt or internal error.
【解决方法】 增大内存或者减少参数搜索空间mtry不能大于特征数量
Error in imputeTS::na_ma(v, k = k, weighting = “linear”) :At least 2 non-NA data points required in the time series to apply na_ma.
【报错原因】 ID id筛选之后数据没了 【解决方法】 更换数据或变量
