476 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 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 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 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 is made to show how to apply the threshold computed by the Binary Classification Inspector for new data. the thresh…1
- Go to itemThis is also the ECG dataset from Kaggle, put together from PhysioNet MIT-BIH Arrhythmia (https://www.kaggle.com/shayanfazeli/hea…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 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 itemThis workflow solves a binary classification problem on the adult dataset using more advanced algorithms: - Random Forest - Gradi…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 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 use the "Model Simulation View" components in combination with the "AutoML" and "AutoML (Regression)" …1
- Go to itemOriginally: This application is a simple example of AutoML with KNIME Software for regression and classification tasks. The key o…1
- Go to itemThis demo describes how to enrich the classification workflow with conformal prediction methods that allows to estimate model pre…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