411 results
- Go to itemThis workflow shows how to train a simple neural network for text classification, in this case sentiment analysis. The used netwo…3
- Go to itemThis workflow is an example of how to build a basic prediction / classification model using a decision tree. Dataset describes wi…3
- Go to itemThis application is a simple example of AutoML with KNIME Software for regression and classification tasks. The key of this examp…3
- Go to itemThis workflow shows how to train a simple neural network for text classification, in this case sentiment analysis. The used netwo…2
- Go to itemTo wrap up our series of data classification challenges, consider again the following churning problem: a telecom company wants y…2
- Go to itemThis workflow solves a classification problem on the iris dataset using the k-Nearest Neighbor (kNN) algorithm.2
- Go to itemThis workflow is an example of how to build a basic prediction / classification model using logistic regression.2
- Go to itemThis workflow demonstrates use of lightgbm_knime node to make predictions. The dataset is Breast Cancer dataset (see link below1
- Go to itemThis workflow shows how to train an XGBoost based image classifier that uses a pretrained convolutional neural network to extract…1
- Go to itemSolution to an exercise for training a classification model. Train and apply a decision tree model. Evaluate the model's performa…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 how to use the "Model Simulation View" components in combination with the "AutoML" and "AutoML (Regression)" …1
- Go to itemUsing the adult dataset, this workflow performs binary classification (income > or < 50K) using a Decision Tree. The target is th…1
- Go to itemThis workflow performs classification on data sets that were reduced using the following dimensionality reduction techniques: - L…1
- Go to itemThis example shows how to transform a document into a vector using a word vector model and using these vectors for classification…1
- Go to itemThis workflow shows how to train a simple neural network for text classification, in this case sentiment analysis. The used netwo…1
- Go to itemThis workflow solves a binary classification problem on the adult dataset using more advanced algorithms: - Random Forest - Gradi…1
- Go to itemThis workflow demonstrates how Cohen's kappa can be used to evaluate the performance of a classification model when dealing with …1