528 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 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 is an example of how to build a basic prediction / classification model using a decision tree. Dataset describes wi…3
- 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 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 demo describes how to enrich the classification workflow with conformal prediction methods that allows to estimate model pre…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 shows how to train an XGBoost based image classifier that uses a pretrained convolutional neural network to extract…1
- Go to itemUsing the adult dataset, this workflow performs binary classification using the Naive Bayes algorithm. The target is the income c…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 itemThis workflow is an example of how to build a basic classification model for a churn prediction using a Decision Tree algorithm.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 itemSolution to the "Advanced Machine Learning Chemistry" exercise for the advanced Life Science User Training - Training a Random Fo…1
- Go to itemThis workflow performs classification on data sets that were reduced using the following dimensionality reduction techniques: - L…1
- Go to itemThis workflow demonstrates the functionality of the Binary Classification Inspector node. It produces a complex view made of four…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 demonstrates use of lightgbm_knime node to make predictions. The dataset is Breast Cancer dataset (see link below1
- Go to itemThis is also the ECG dataset from Kaggle, put together from PhysioNet MIT-BIH Arrhythmia (https://www.kaggle.com/shayanfazeli/hea…1