This workflow shows how to train a simple neural network for text classification, in this case sentiment analysis. The used netwo…

This application is a simple example of AutoML with KNIME Software for regression and classification tasks. The key of this examp…

This workflow is an example of how to build a basic prediction / classification model using a decision tree. Dataset describes wi…

This workflow shows how to train a simple neural network for text classification, in this case sentiment analysis. The used netwo…

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

This workflow is an example of how to build a basic prediction / classification model using logistic regression.

This demo describes how to enrich the classification workflow with conformal prediction methods that allows to estimate model pre…

To wrap up our series of data classification challenges, consider again the following churning problem: a telecom company wants y…

This workflow shows how to train an XGBoost based image classifier that uses a pretrained convolutional neural network to extract…

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

This workflow shows how to use the "Model Simulation View" components in combination with the "AutoML" and "AutoML (Regression)" …

This workflow is an example of how to build a basic classification model for a churn prediction using a Decision Tree algorithm.

This workflow shows how to train a simple neural network for text classification, in this case sentiment analysis. The used netwo…

Solution to the "Advanced Machine Learning Chemistry" exercise for the advanced Life Science User Training - Training a Random Fo…

This workflow performs classification on data sets that were reduced using the following dimensionality reduction techniques: - L…

This workflow demonstrates the functionality of the Binary Classification Inspector node. It produces a complex view made of four…

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

Training a decision tree and training a random forest of decision trees.

This workflow demonstrates use of lightgbm_knime node to make predictions. The dataset is Breast Cancer dataset (see link below

This is also the ECG dataset from Kaggle, put together from PhysioNet MIT-BIH Arrhythmia (https://www.kaggle.com/shayanfazeli/hea…