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1.CRISP-DM-Template

Demo Workflow

Regression

Example III: K Fold Cross Validation

Example I: Resubstitution Workflow (Baseline)

Data Preparation

Impute missing values with the median and apply basic range checks.

  • Missing Value node

  • Rule-based Row Filter node



Modeling

Train regression model.

  • Linear Regression Learner node


Data Understanding

Explore data quality and Height–Weight relationship

  • Statistics node

  • Scatter Plot node

  • Linear Correlation Plot



Evaluation

Predict on test set and compute error metrics.

  • Regression Predictor node

  • Numeric Scorer node

  • Scatter Plot node


Example II: Train Test Split Evaluation

Modeling

Split data and train regression model.

  • Table Partitioner node

  • Linear Regression Learner node


Evaluation

Predict on test set and compute error metrics.

  • Regression Predictor node

  • Numeric Scorer node


Deployment

Split data and train regression model.

  • Table Partitioner node

  • Linear Regression Learner node


Modeling

Split data and train regression model.

  • Table Partitioner node

  • Linear Regression Learner node


Evaluation

Predict on test set and compute error metrics.

  • Regression Predictor node

  • Numeric Scorer node


Deployment

Split data and train regression model.

  • Table Partitioner node

  • Linear Regression Learner node


Excel Reader
Statistics View
Linear Correlation
Scatter Plot
Rule-based Row Filter
Linear Regression Learner
Regression Predictor
Scatter Plot
Numeric Scorer

Nodes

Extensions

  • No modules found

Links