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results

- Go to itemThis workflow is an example of how to build a basic prediction / classification model using logistic regression.2
- Go to itemThis workflow shows an overview of credit card fraud detection techniques. The performances of the techniques are evaluated on th…1
- Go to itemThis workflow calculates the Delta-p statistics based on the coefficient statistics of a logistic regression model. The Delta-p s…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 is based on the book chapter "Attribution Modelling" by de Haan (2022). It replicates the analysis of the book chap…1
- Go to itemSolution to the tasks for Group 2 in KNIME Data Science Learnathon - Train a Decision Tree on the training set, and apply the mod…0
- Go to itemThis workflow is made to show how to apply the threshold computed by the Binary Classification Inspector for new data. the thresh…0
- Go to itemIntroduction to Machine Learning Algorithms course - Session 2 Exercise 4 - Train a logistic regression model - Apply the model t…0
- Go to itemTasks for Group 2 in KNIME Data Science Learnathon - Train a Decision Tree on the training set, and apply the model to the test s…0
- Go to itemSolution to the tasks for Group 2 in KNIME Data Science Learnathon - Train a Decision Tree on the training set, and apply the mod…0
- Go to itemThe goal of this workflow is to analyze the impact of different priors in case of the logistic regression. The workflow therefore…0
- Go to itemThis workflow deploys an advanced parameter optimzation protocol with four machine learning methods. In this implementation the c…0
- Go to itemIntroduction to Machine Learning Algorithms course - Session 4 Solution to exercise 5 - Combine previously splitted training and …0
- Go to itemThe goal of this workflow is to analyze the impact of different priors in case of the logistic regression. The workflow therefore…0
- Go to itemThis workflow shows how to use the Weak Label Model Learner and Predictor nodes to aggregate sources of weak supervision such as …0
- Go to itemPer verificare se i valori elevati di accuratezza dell'algoritmo Logistic regression non siano dovuti ad overfitting, in questa v…0