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Classification
Decision tree Scorer ROC curve AuC Overall accuracy
+3
  1. Workflow
    Sentiment Analysis
    Deep learning Keras Text classification
    +11
    This workflow shows how to train a simple neural network for text classification, in this case sentiment analysis. The used netwo…
    knime > Examples > 04_Analytics > 14_Deep_Learning > 02_Keras > 08_Sentiment_Analysis_with_Deep_Learning_KNIME_nodes
    3
  2. Workflow
    Training a Decision Tree
    Classification Machine learning Prediction
    +6
    This workflow is an example of how to build a basic prediction / classification model using a decision tree. Dataset describes wi…
    knime > Examples > 04_Analytics > 04_Classification_and_Predictive_Modelling > 07_Decision_Tree
    3
  3. Workflow
    AutoML Regression and Classification Examples
    AutoML Automated machine learning Guided analytics
    +6
    This application is a simple example of AutoML with KNIME Software for regression and classification tasks. The key of this examp…
    knime > Examples > 09_Enterprise > 04_Integrated_Deployment > 03_AutoML_Deployment > 02_AutoML_Regression_and_Classification_Examples
    2
  4. Workflow
    Sentiment Analysis
    Deep learning Keras Text classification
    +9
    This workflow shows how to train a simple neural network for text classification, in this case sentiment analysis. The used netwo…
    andisa.dewi > Public > Deep Learning Workshop > Sentiment_Analysis_Deep_Learning
    2
  5. Workflow
    Classification of the iris data using kNN
    TheGuideBook KNN K Nearest Neighbor
    +2
    This workflow solves a classification problem on the iris dataset using the k-Nearest Neighbor (kNN) algorithm.
    knime > Academic Alliance > Guide to Intelligent Data Science > Example Workflows > Chapter9 > 01_kNN
    2
  6. Workflow
    ECG MIT-BIH Data Analysis and Modelling
    ECG Arrhythmia CNN
    +5
    This is also the ECG dataset from Kaggle, put together from PhysioNet MIT-BIH Arrhythmia (https://www.kaggle.com/shayanfazeli/hea…
    knime > Digital Healthcare > ECG Arrythmia Detection > ecg_cnn_mit
    1
  7. Workflow
    Model Simulation View Examples
    AutoML Automated machine learning Guided analytics
    +11
    This workflow shows how to use the "Model Simulation View" components in combination with the "AutoML" and "AutoML (Regression)" …
    paolotamag > Public > Model_Simulation_View_Example
    1
  8. Workflow
    Random Forest, Gradient Boosted Trees, and TreeEnsemble
    Classification Machine learning Prediction
    +9
    This workflow solves a binary classification problem on the adult dataset using more advanced algorithms: - Random Forest - Gradi…
    rs1 > Public > Tree_Ensembles
    1
  9. Workflow
    Training a Decision Tree
    Classification Machine learning Prediction
    +9
    Training a decision tree and training a random forest of decision trees. Adult.csv dataset describes US census information. Outpu…
    rs1 > Public > 09_Random_Forest
    1
  10. Workflow
    09 Decision Tree Model - Solution
    Classification Decision tree Overall accuracy
    +3
    Solution to an exercise for training a classification model. Train and apply a decision tree model. Evaluate the model's performa…
    knime > Education > Self-Paced Courses > L1-DS KNIME Analytics Platform for Data Scientists - Basics > Solutions > 09 Decision Tree Model - Solution
    1
  11. Workflow
    Mixing Deep Learning with XGBoost
    Deep Learning Machine Learning XGBoost
    +11
    This workflow shows how to train an XGBoost based image classifier that uses a pretrained convolutional neural network to extract…
    christian.birkhold > My Sandbox > Mixing_DL_with_XGBoost
    1
  12. Workflow
    Cohen's Kappa for Evaluating Classification Models
    Model evaluation Resampling Cohen's kappa
    +4
    This workflow demonstrates how Cohen's kappa can be used to evaluate the performance of a classification model when dealing with …
    knime > Examples > 04_Analytics > 10_Scoring > 05_Cohen's_Kappa_for_Evaluating_Classification_Models
    1
  13. Workflow
    Classification using lightgbm node
    Lighgbm Breast cancer Classification
    This workflow demonstrates use of lightgbm_knime node to make predictions. The dataset is Breast Cancer dataset (see link below
    ashokharnal > Collection of Components and Workflows > Tree-based models > Using lightgbm classifier
    1
  14. Workflow
    Applying Optimized Threshold from Binary Calssification Inspector
    Machine Learning Classification Data Mining
    +7
    This workflow is made to show how to apply the threshold computed by the Binary Classification Inspector for new data. the thresh…
    paolotamag > Public > Applying_Optimized_Threshold_from_Binary_Calssification_Inspector
    1
  15. Workflow
    Decision Tree
    TheGuideBook Decision Tree Classification
    +1
    Using the adult dataset, this workflow performs binary classification (income > or < 50K) using a Decision Tree. The target is th…
    knime > Academic Alliance > Guide to Intelligent Data Science > Example Workflows > Chapter8 > 01_DecisionTree
    1
  16. Workflow
    Sentiment Analysis
    Deep learning Keras Text classification
    +9
    This workflow shows how to train a simple neural network for text classification, in this case sentiment analysis. The used netwo…
    scottf > Public > TextMiningWebinar > Sentiment > Sentiment_Deep_Learning
    1
  17. Workflow
    Training a Random Forest
    Classification Machine learning Prediction
    +11
    Training a decision tree and training a random forest of decision trees.
    knime > Examples > 04_Analytics > 04_Classification_and_Predictive_Modelling > 09_Random_Forest
    1
  18. Workflow
    Techniques for Dimensionality Reduction
    ETL Big data Data preprocessing
    +11
    This workflow performs classification on data sets that were reduced using the following dimensionality reduction techniques: - L…
    knime > Examples > 04_Analytics > 01_Preprocessing > 02_Techniques_for_Dimensionality_Reduction > 02_Techniques_for_Dimensionality_Reduction
    1
  19. Workflow
    06_Random_Forest - Solution
    E-learning Classification Tree ensemble
    +2
    Solution to an e-learning course exercise. Train a Random Forest model to predict letters based on their image characteristics.
    stervis > Public > E-Learning > L2-DS KNIME Analytics Platform for Data Scientists - Advanced > Solutions > 06_Random_Forest - Solution
    0
  20. Workflow
    08 Decision Tree Model
    Classification Decision tree Scorer
    Exercise for training a decision tree model. Train, apply, and evaluate a decision tree model.
    edwardscott > Lab2 > Exercises > 08 Decision Tree Model
    0