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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。
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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。
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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。
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Uploads data to the DataRobot machine learning platform that creates predictive models.
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Use the DataRobot Predict tool to score data using predictive models generated by DataRobot.
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Creates a set of if-then split rules to optimize model creation criteria.
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部署工具与Alteryx Promote集成,这是一个用于部署、管理和扩展预测模型的平台。
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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。
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Relates a gamma distributed, strictly positive variable of interest to one or more variables.
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Produces a cumulative captured response chart and an incremental response rate chart.
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Creates a model estimating values, or relationships between variables.
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Creates a model that relates a target binary variable to one or more predictor variables.
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The Model Coefficients tool creates a table of model coefficient names and values.
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“模型对比”工具可比较一个或多个不同预测模型的性能。
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创建一组预测变量和分类目标变量的概率分类模型。
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检查模型的预测能力是否等效。
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“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。
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“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。
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Creates an estimate of a variable by applying an R model to a set of supplied predictor variables.
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“样条模型”工具提供弗里德曼多变量适应性回归样条算法。
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Determines the best predictor variables to include in a model from a set of potential variables.
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一组广受欢迎的监督学习算法。
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The Survival Analysis tool implements common methods of survival analysis.
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The Survival Score tool provides both the estimated relative risk and restricted mean survival time.
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对数值响应字段的均值差异执行 Welch 双样本 t 检验。
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The Variance Inflation Factor (VIF) tool produces a coefficient summary report.