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Machine learning KNIME CART Decision tree C4.5 Bagging
  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
    knime
  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
    knime
  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
    rs1
  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
    rs1
  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
    knime
  6. Workflow
    Logistic Regression (verificare se si è in overfitting)
    Classification Machine learning Prediction
    +6
    Per verificare se i valori elevati di accuratezza dell'algoritmo Logistic regression non siano dovuti ad overfitting, in questa v…
    falaimo > Public > KNIME Analytics Platform per Data Scientists, corso base > 06_Logistic_Regression (check overfitting)
    0
    falaimo
  7. 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
    atomnous
  8. 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
    sebastian_sauer
  9. 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.
    atiquerk > Public > 06_Logistic_Regression
    0
    atiquerk
  10. Workflow
    Training a GLM
    Classification Machine learning Prediction
    +3
    GML on the titanic data set
    sebastian_sauer > Public > titanic-glm1
    0
    sebastian_sauer
  11. 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
    sebastian_sauer
  12. Workflow
    Boosted trees on Titanic dataset
    Classification Machine learning Prediction
    +7
    Training boosted trees
    sebastian_sauer > Public > titanic-boostedtrees
    0
    sebastian_sauer
  13. 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
    knime
  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.
    emirmkara > Public > 06_Logistic_Regression
    0
    emirmkara
  15. 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
    atomnous
  16. 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
    evan1388
  17. 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
    rs1
  18. 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
    atomnous
  19. Workflow
    Logistic Regression with Spark
    Classification Machine learning Prediction
    +5
    This workflow is builds a classification model using logistic regression in SPARK.
    knime > Examples > 10_Big_Data > 02_Spark_Executor > 15_Logistic_Regression_with_Spark
    0
    knime