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Machine learning
Data science Classification Analytics Prediction CART
+3
  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. Workflow
    use Python and KNIME to make a random forest
    Python Machine learning Knime
    +2
    Simple example to make a random forest model with Python in KNIME using the iris dataset. And saving and reusing the model with P…
    mlauber71 > Public > kn_example_python_iris
    0
  7. 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…
    evan1388 > Public > 07_Decision_Tree
    0
  8. Workflow
    Training a simple classification tree
    Classification Machine learning Prediction
    +6
    Training a decision tree and training a random forest of decision trees.
    sebastian_sauer > Public > titanic-tree1
    0
  9. Workflow
    Training a Random Forest
    Classification Machine learning Prediction
    +9
    Training a decision tree and training a random forest of decision trees.
    atomnous > Public > 04_Classification_and_Predictive_Modelling > 09_Random_Forest
    0
  10. Workflow
    Simple example to make a random forest (rpart) model with R in KNIME using the iris dataset. And saving an reusing the model with PMML
    Machine learning Knime R
    +2
    Simple example to make a random forest (rpart) model with R in KNIME using the iris dataset. And saving an reusing the model with…
    mlauber71 > Public > kn_example_r_iris
    0
  11. Workflow
    Classification of written letters with a Random Forest
    Classification Machine learning Prediction
    +7
    Training a random forest to classify written letters. This is the solution to the exercise in the KNIME e-learning course under h…
    rs1 > Public > Clax_Written_Letters_Random_Forest
    0
  12. Workflow
    Training a Random Forest
    Classification Machine learning Prediction
    +9
    Training a decision tree and training a random forest of decision trees.
    sebastian_sauer > Public > titanic-rf1
    0
  13. Workflow
    Simple example to make a random forest model with new Python Scrip in KNIME 4.5 using the iris dataset. Saving and reusing the model with Pickle
    Python Machine learning Knime
    +7
    Simple example to make a random forest model with new Python Scrip in KNIME 4.5 using the iris dataset. Saving and reusing the mo…
    mlauber71 > Public > kn_example_python_iris_2021
    0
  14. 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.
    atomnous > Public > 04_Classification_and_Predictive_Modelling > 06_Logistic_Regression
    0
  15. Workflow
    Boosted trees on Titanic dataset
    Classification Machine learning Prediction
    +7
    Training boosted trees
    sebastian_sauer > Public > titanic-boostedtrees
    0
  16. 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.
    emirmkara > Public > 06_Logistic_Regression
    0
  17. Workflow
    Random Forest, Gradient Boosted Trees, and TreeEnsemble
    Classification Machine learning Prediction
    +11
    This workflow solves a binary classification problem on the adult dataset using more advanced algorithms: - Random Forest - Gradi…
    knime > Academic Alliance > Guide to Intelligent Data Science > Example Workflows > Chapter9 > 04_TreeEnsemble
    0
  18. Workflow
    Titanic - ML Project
    KNIME Titanic Machine Learning
    +1
    This will be the first dataset everyone starts for kaggle competitions. The dataset is easy to interpret and can start with the b…
    augustinejoseph > Public > Titanic - ML Project
    0
  19. 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…
    atomnous > Public > 04_Classification_and_Predictive_Modelling > 07_Decision_Tree
    0
  20. Workflow
    titanic-rf4
    Random forest Ensemble Classification
    +4
    Random Forest including tuning (parameter optimization) and CV
    sebastian_sauer > Public > titanic-rf4
    0