12 results
- Go to itemThis application is a simple example of Xgboost model with KNIME Software for binary and multiclass classification. The model out…0
- Go to itemThis application is a simple example of AutoML with KNIME Software for binary and multiclass classification. The output models ar…1
- Go to itemThis application is a simple example of AutoML with KNIME Software for binary and multiclass classification. The output models ar…3
- Go to itemThis application is a simple example of AutoML with KNIME Software for binary and multiclass classification. The output models ar…0
- Go to itemThis application is a simple example of inspecting global feature importance for binary and multiclass classification with KNIME …0
- Go to itemThis workflow shows how to use the "Model Simulation View" component with AutoML The key of this example is the “Model Simulation…0
- Go to itemThis workflow shows how to use the "Model Simulation View" component in combination with the "AutoML (Regression)" component. The…0
- Go to itemThis workflow shows how to use the "Model Simulation View" components. A Decision Tree model is used here, it can be replaced wit…1
- Go to itemThis workflow shows how to use the "Model Simulation View" component. A XGBoost Linear Regression model is used here, it can be r…0
- Go to itemThis application is a simple example of inspecting global feature importance for binary and multiclass classification with KNIME …0
- Go to itemThis workflow shows how to use the "Model Simulation View" components in combination with the "AutoML" and "AutoML (Regression)" …1
- Go to itemThis application is a simple example of inspecting global feature importance for binary and multiclass classification with KNIME …1