Icon

Public

This directory contains 10 workflows.

Icon01_​DecisionTree 

Using the adult dataset, this workflow performs binary classification (income > or < 50K) using a Decision Tree. The target is the income column, either […]

Icon01_​kNN 

This workflow solves a classification problem on the iris dataset using the k-Nearest Neighbor (kNN) algorithm.

Icon02_​kMeans 

This workflow performs clustering of the iris dataset using k-Means. Two workflows: one to build the k-Means prototypes (top) and one to apply them to new […]

Icon02_​NaiveBayes 

Using the adult dataset, this workflow performs binary classification using the Naive Bayes algorithm. The target is the income column, either <=50K or […]

Icon03_​LogisticRegression 

Using the adult dataset, this workflow performs binary classification using a Logistic Regression. The target is the income column, either <=50K or <50K, […]

Icon03_​SVM 

This workflow solves a classification problem on the iris dataset using Support Vector Machines (SVM).

Icon04_​Association_​Rules_​for_​MarketBasketAnalysis 

This workflow builds a recommandation engine for market basket analysis using the Borgelt version of the Apriori algorithm. URL: Market Basket Analysis and […]

Icon04_​Data_​Preprocessing_​for_​ML_​Models 

This workflow demonstrates the following standard preprocessing steps before training a machine learning model: - Partitioning - Outlier detection - Missing […]

Icon09_​Fuzzy_​String_​Matching 

This workflow demonstrates how to apply a fuzzy matching of two string. The string matcher was designed exactly for this task, but is limited to the […]

Icon24_​DB_​Looping 

This workflow demonstrates the usage of the DB Looping node. The node allows the user to write a SQL query that uses the values from the input table as […]