130 results
- Go to itemIn this use case, we will use the NYC taxi dataset and a Random Forest to train a simple time series prediction model to predict …4
- Go to itemThe workflow demonstrates how to use SHAP, Shapley Values and LIME implemenatations in KNIME 4.0 and generates a basic combined v…4
- Go to itemIn this use case, we will use the NYC taxi dataset and a Random Forest to train a simple time series prediction model to predict …2
- Go to itemThis workflow implements an alarm system for bycicle restocking at Washington bike stations. The dataset is the bike dataset. Pro…1
- Go to itemThis workflow, the deployment workflow, reads the trained model, as well as the new transaction and applies the model to classify…1
- Go to itemTraining a decision tree and training a random forest of decision trees. Adult.csv dataset describes US census information. Outpu…1
- Go to itemThis workflow is made to show how to apply the threshold computed by the Binary Classification Inspector for new data. the thresh…1
- Go to itemThis workflow shows an overview of credit card fraud detection techniques. The performances of the techniques are evaluated on th…1
- Go to itemThis workflow solves a binary classification problem on the adult dataset using more advanced algorithms: - Random Forest - Gradi…1
- Go to itemThe probability of default is a metric that lenders use to assess risk on customers, group them into similar risk bands, and dete…1
- Go to itemThis workflow shows an example for the "Parameter Optimization (Table)" component (kni.me/c/dIpKMJbiO-3019eb) with range filter. …0
- Go to itemExercise for training a Random Forest model. Build a Random Forest (Regression) model on a training set. Apply it to a test set, …0
- Go to itemThe probability of default is a metric that lenders use to assess risk on customers, group them into similar risk bands, and dete…0
- Go to itemExercise for training a Random Forest model. Build a Random Forest (Regression) model on a training set. Apply it to a test set, …0
- Go to itemSolution to an exercise for training a Random Forest model. Build a Random Forest (Regression) model on a training set. Apply it …0
- Go to itemExercise for training a Random Forest model. Build a Random Forest (Regression) model on a training set. Apply it to a test set, …0
- Go to itemSolution to an exercise for training a Random Forest model. Build a Random Forest (Regression) model on a training set. Apply it …0
- Go to itemThis workflow deploys an advanced parameter optimzation protocol with four machine learning methods. In this implementation the c…0
- Go to itemExercise for training a Random Forest model. Build a Random Forest (Regression) model on a training set. Apply it to a test set, …0