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

This workflow performs clustering of the iris dataset using DBSCAN. Notice the Numeric Distances node to feed the DBSCAN node wit…

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

This deployment workflow builds a simple dashboard. Reads a pre-trained decision tree model and applies it to new data to predict…

Using the adult dataset, this workflow performs binary classification using the Naive Bayes algorithm. The target is the income c…

This workflow clusters the iris dataset using Hierarchical Clustering

This workflow builds a recommandation engine for market basket analysis using the Borgelt version of the Apriori algorithm.

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

This workflow clusters the iris dataset using Hierarchical Clustering

Exercise to perform basic operations in KNIME: - Read data - Filter rows - Filter columns - Write and plot data

Numeric scorer: compare performance of two regression models

Confusion matrix: evaluate the performance of a classification model

Basic Example of data access (File Reading), data wrangling (Column Filter + Normalization), clustering (k-Means), and finally co…

ROC Curve: compare the performance of two classification models

This workflow is configurable as a REST service. It receives a JSON file and transforms it back to a data table containing custom…

Ensembles: binary classification of house ranking (high/low rank). - Random forest - Gradient Boosted Trees - Training - Evaluati…

Regression Tree: predict house price. - Partition data into training and test set - Train a regression tree model - Apply the tra…

Decision Tree: binary classification of house ranking (high/low rank). - Create target column - Filter unnecessary columns - Spli…

This deployment workflow builds a simple dashboard. Reads a pre-trained decision tree model and applies it to new data to predict…

ROC Curve: compare the performance of two classification models