Hub
Pricing About
  • Software
  • Blog
  • Forum
  • Events
  • Documentation
  • About KNIME
  • KNIME Community Hub
  • Search

476 results

Filter
Filter by tag
Classification
Decision tree Scorer ROC curve AuC Overall accuracy Education Machine learning Prediction
  1. Go to item
    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
    knime
  2. Go to item
    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
    knime
  3. Go to item
    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
    3
    andisa.dewi
  4. Go to item
    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
    3
    knime
  5. Go to item
    Workflow
    Challenge 26: Modeling Churn Predictions - Part 4
    Justknimeit Justknimeit-26 Xai
    +1
    To wrap up our series of data classification challenges, consider again the following churning problem: a telecom company wants y…
    knime > Just KNIME It! > Season 1 > Challenge 26 - Churning Problem Part 4 - Solution
    2
    knime
  6. Go to item
    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
    knime
  7. Go to item
    Workflow
    Logistic Regression
    Classification Machine learning Prediction
    +5
    This workflow is an example of how to build a basic prediction / classification model using logistic regression.
    knime > Examples > 04_Analytics > 04_Classification_and_Predictive_Modelling > 06_Logistic_Regression
    2
    knime
  8. Go to item
    Workflow
    Training a Churn Predictor - Decision Tree
    Decision tree Classification
    This workflow is an example of how to build a basic classification model for a churn prediction using a Decision Tree algorithm.
    alinebessa > Courses and Workshops > Norbert and Michael - Workshop > ChurnPrediction > Decision Tree Model
    1
    alinebessa
  9. Go to item
    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
    paolotamag
  10. Go to item
    Workflow
    ECG MIT-BIH Data Analysis and Modelling
    ECG Arrhythmia CNN
    +6
    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
    knime
  11. Go to item
    Workflow
    Naive Bayes
    TheGuideBook Naive Bayes Classification
    +1
    Using the adult dataset, this workflow performs binary classification using the Naive Bayes algorithm. The target is the income c…
    abeer > 02_NaiveBayes456456 > 02_NaiveBayes
    1
    abeer
  12. Go to item
    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 > Deep Learning with XGBoost > Mixing_DL_with_XGBoost
    1
    christian.birkhold
  13. Go to item
    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 > Archive > L1-DS KNIME Analytics Platform for Data Scientists - Basics (deprecated) > Solutions > 09 Decision Tree Model - Solution
    1
    knime
  14. Go to item
    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
    rs1
  15. Go to item
    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
    rs1
  16. Go to item
    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
    ashokharnal
  17. Go to item
    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
    paolotamag
  18. Go to item
    Workflow
    AutoML Classification Examples_for_KNIME_AP_ver_4_4
    AutoML Automated machine learning Guided analytics
    +4
    Originally: This application is a simple example of AutoML with KNIME Software for regression and classification tasks. The key o…
    knimest > Public > KNIMEST_JP > AutoML_Classification_Example_for_KNIME_AP_4_4
    1
    knimest
  19. Go to item
    Workflow
    Conformal prediction classification
    Conformal prediction Classification Integrated deployment
    +2
    This demo describes how to enrich the classification workflow with conformal prediction methods that allows to estimate model pre…
    artem > Public > Conformal prediction classification
    1
    artem
  20. Go to item
    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
    knime

KNIME
Open for Innovation

KNIME AG
Talacker 50
8001 Zurich, Switzerland
  • Software
  • Getting started
  • Documentation
  • E-Learning course
  • Solutions
  • KNIME Hub
  • KNIME Forum
  • Blog
  • Events
  • Partner
  • Developers
  • KNIME Home
  • KNIME Open Source Story
  • Careers
  • Contact us
Download KNIME Analytics Platform Read more on KNIME Business Hub
© 2023 KNIME AG. All rights reserved.
  • Trademarks
  • Imprint
  • Privacy
  • Terms & Conditions
  • Credits