Predictive Analysis

Alteryx predictive tools flowchart

https://community.alteryx.com/t5/Data-Science/Alteryx-Predictive-Tools-Flowchart/ba-p/602881

• Investigate and prepare data for analysis • Identify suitable variables for predicting a target variable • Select predictor variables that fit given criteria • Create training and validation datasets • Select appropriate algorithms to model datasets • Train models • Compare models • Interpret model reports • Score new data with trained models • Classification • Regression • Time series • Optimization

Note:

• Arima/ETS can specify the starting period
• logistic regression tool must have only 2 values for target variables
• Optimization tool:
  • Manual input:
    • objective: function to minimize/ optimize
    • constraint: constraint of the function of variable
    • Bound: range of possible value of the variable
  • O anchor (listed vertically), [”variable”] [”coefficient”]
    • • The order of variables for input O and input A must be the same.
    • Display field mapping for input anchor to map the field
    • variable for the objective function (no inequality because we always want to optimize the coefficient)
  • A anchor (constraint matrix using the combination of variables from O anchor)
    • Constraints in rows (preferred): one row one constraint, [var1] [var..] [”dir”] [”rhs”]
    • Variables in rows: one row one var (need dir & rhs as input B) [’variable’] [factor]
  • maximize Onjective?: default to be minimize if this option is not ticked