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Classification
Decision tree Scorer ROC curve AuC Overall accuracy Education Machine learning Prediction Analytics Decision Tree Ensemble
+3
  1. 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
  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
    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
  4. 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
  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! > Challenge 26 - Churning Problem Part 4 - Solution
    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
    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
  8. 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
  9. 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
  10. 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
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  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
    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
  18. Go to item
    Workflow
    Cross validation example
    Tree ensemble Classification Cross validation
    +1
    This example shows how to calculate non-standard evaluation metrics on each fold and then estimate fluctuation of the performance…
    lisovyi > Public > Examples > Cross Validation example
    1
    lisovyi
  19. 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
  20. 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

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