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results

- This workflow trains a classification model using the Decision Tree algorithm and evaluates its accuracy by scoring metrics, ROC Curve, and Lift Chart.
- This workflow demonstrates how Cohen's kappa can be used to evaluate the performance of a classification model when dealing with imbalanced data. We also show how Cohen's kappa obtains greater values…
- Train and apply a decision tree model. Evaluate the model's performance with scoring metrics and an ROC curve.
- This workflow trains a linear regression model that predicts the amount of a credit. The performance of the linear regression model is evaluated with the Numeric Scorer node. The assumptions of the l…
- In this example we take a look at the KNIME Nodes for H2O Scoring. There are different H2O Scorer Nodes in KNIME for different Machine Learning problems: The "H2O Regression Scorer" Node for regressi…
- Train and apply a decision tree model. Evaluate the model's performance with scoring metrics and an ROC curve.
- Solution to an e-learning course exercise. Evaluate the performance of a regression model.
- This workflows shows how to train a model for named-entity recognition. The model can be created with the StanfordNLP NE Learner node which creates a conditional random field (CRF) model. To create t…
- E-learning course exercise. Evaluate the performance of a regression model.
- This workflow creates a model selction on the webportal, where data analysts can choose a training and a test set between the datasets of 2006 to 2012, the target variable and the algorithms, which s…
- E-learning course exercise. Evaluate the performance of a regression model.
- This workflow shows how to train and test a basic classification model. Using the adult dataset, a decision tree is trained and tested to predict the "income" class column. Testing is obtained via si…
- Solution to an e-learning course exercise. Evaluate the performance of a regression model.
- Application that evaluates TPs (true positives), TNs, FPs, and FNs for an idXML file with predicted RTs. Web Documentation for RTEvaluationManipulator
- This example shows how to build an H2O GLM model for regression, predict new data and score the regression metrics for model evaluation. 1. Prepare: Load the carspeed data, import the resulting KNIME…
- This workflow trains a classification model using the Linear Regression algorithm. The class prediction is evaluated by overall accuracy and profit statistics. To calculate the profit statistics, cla…
- These workflows demonstrate interesting way to use loops. They replicate functionality that's available as a set of nodes
- The evaluation of uplift models differs much from other predictive analytics approaches. This node evaluates the quality of an Uplift Model by analyzing the real uplift in given bins compared to the …Manipulator
- This workflow receives the input from the STOCKS workflow via the Contained Input (Table) Node. In the Feature Creation metanode variables are extracted based on Date and lag variables. The Variable …
- This workflow is part of the model factory eco system. Please refer to our white paper for further details. Use this workflow to see how often your models will be retrained and how the error is evolv…