预测
使用提升模型工具根据梯度提升方法创建通用的增强回归模型。
创建将非负整数值字段与将作为预测变量的字段进行关联的模型。
使用交叉验证比较一个以上的由 Alteryx 生成的预测模型的性能。
Uploads data to the DataRobot machine learning platform that creates predictive models.
Use the DataRobot Predict tool to score data using predictive models generated by DataRobot.
Creates a set of if-then split rules to optimize model creation criteria.
创建一个模型，该模型构建一组决策树模型来预测目标变量。
Relates a gamma distributed, strictly positive variable of interest to one or more variables.
Produces a cumulative captured response chart and an incremental response rate chart.
Creates a model estimating values, or relationships between variables.
Creates a model that relates a target binary variable to one or more predictor variables.
The Model Coefficients tool creates a table of model coefficient names and values.
“模型对比”工具可比较一个或多个不同预测模型的性能。
创建一组预测变量和分类目标变量的概率分类模型。
检查模型的预测能力是否等效。
“网络分析”工具生成一个网络交互式仪表板，以探索不同节点之间的关系。
“神经网络”工具使用单个隐藏层创建前馈感知器神经网络模型。
Creates an estimate of a variable by applying an R model to a set of supplied predictor variables.
“样条模型”工具提供弗里德曼多变量适应性回归样条算法。
Determines the best predictor variables to include in a model from a set of potential variables.
一组广受欢迎的监督学习算法。
The Survival Analysis tool implements common methods of survival analysis.
The Survival Score tool provides both the estimated relative risk and restricted mean survival time.
对数值响应字段的均值差异执行 Welch 双样本 t 检验。
The Variance Inflation Factor (VIF) tool produces a coefficient summary report.