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…

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

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 workflow solves a binary classification problem on the adult dataset using more advanced algorithms: - Random Forest - Gradi…

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 train a simple neural network for text classification, in this case sentiment analysis. The used netwo…

Training a decision tree and training a random forest of decision trees. Adult.csv dataset describes US census information. Outpu…

This workflow is made to show how to apply the threshold computed by the Binary Classification Inspector for new data. the thresh…

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

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

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

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

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…

This example shows how to calculate non-standard evaluation metrics on each fold and then estimate fluctuation of the performance…

This example shows how to transform a document into a vector using a word vector model and using these vectors for classification…