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Classification
Decision tree Scorer ROC curve AuC Education Overall accuracy Machine learning Prediction Model evaluation Analytics
+7
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    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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
    2
    artem
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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…
    scottf > Public > TextMiningWebinar > Sentiment > Sentiment_Deep_Learning
    1
    scottf
  14. Go to item
    Workflow
    Advanced Machine Learning - Chemistry Solution
    Machine learning Data mining Classification
    +10
    Solution to the "Advanced Machine Learning Chemistry" exercise for the advanced Life Science User Training - Training a Random Fo…
    rubiocarolina > Public > Solutions > 03. Advanced Machine Learning Chemistry - solution
    1
    rubiocarolina
  15. Go to item
    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
    knime
  16. Go to item
    Workflow
    Analyzing Churn Models with the Binary Classification Inspector
    Machine Learning Classification Data Mining
    +7
    This workflow demonstrates the functionality of the Binary Classification Inspector node. It produces a complex view made of four…
    knime > Examples > 04_Analytics > 04_Classification_and_Predictive_Modelling > 10_Analyzing_Churn_Models_with_the_Binary_Classification_Inspector
    1
    knime
  17. Go to item
    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
    knime
  18. Go to item
    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
    knime
  19. 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
  20. 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

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