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This directory contains 10 workflows.

01_DecisionTree

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

01_kNN

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

02_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 […]

02_NaiveBayes

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

03_LogisticRegression

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

03_SVM

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

04_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 […]

04_Data_Preprocessing_for_ML_Models

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

09_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 […]

24_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 […]