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Classification KNIME Analytics Prediction Decision tree
+3
  1. Workflow
    2 Examples for Parameter Optimization Loops
    Parameter optimization Optimization Machine learning
    +2
    This workflow shows 2 examples of parameter optimization in a decision tree and in a logistic regression. In the decision tree we…
    knime > Examples > 04_Analytics > 11_Optimization > 06_Parameter_Optimization_two_examples
    3
  2. 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
  3. Workflow
    Analytics - Model Selection to Predict Flight Departure Delays
    Data science Machine learning Model selection
    +4
    This workflow trains a number of data analytics models and automatically selects the best model to predict departure delays from …
    knime > Examples > 50_Applications > 28_Predicting_Departure_Delays > 01_Analytics
    2
  4. Workflow
    Linear Regression to calculate Price of a Lego set
    Linear regression Machine learning Data science
    +2
    The workflow trains a Linear Regression model to predict the price of a Lego set based on it's various features. It includes the …
    swantikag > Public > LinearRegression-LegoSet > LinearRegressionModel > LinearRegression-LegoSet
    1
  5. 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
  6. 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
  7. 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
  8. Workflow
    Parameter Optimization Component Hardcoded on Random Forest (Legacy)
    Machine learning Data science Random forest
    +2
    This workflow shows how to use the legacy version of the parameter optimization component. This component only works out of the b…
    k10shetty1 > Parameter Optimization for Classification > 02_Parameter_Optimization_with_Components > 00_Parameter_Optimization_Component_Hardcoded_on_Random_Forest_(Legacy)
    0
  9. Workflow
    Parameter Optimization Loop with Table on Random Forest Classification
    Machine learning Data science Random forest
    +1
    This workflow optimizes the parameters of a random forest. Please notice this parameter optimization loop uses a table as input t…
    k10shetty1 > Parameter Optimization for Classification > 01_Parameter_Optimization_with_Nodes > 04_Parameter_Optimization_Loop_with_Table_on_Random_Forest
    0
  10. Workflow
    Parameter Optimization (Table) Component with Range Sliders on Gradient Boosted Trees
    Parameter optimization Machine Learning Gradient Boosted Trees
    +3
    This workflow shows an example for the "Parameter Optimization (Table)" component (kni.me/c/dIpKMJbiO-3019eb) with range filter. …
    k10shetty1 > Parameter Optimization for Classification > 02_Parameter_Optimization_with_Components > 02_Parameter_Optimization_(Table)_Component_with_Range_Sliders_on_Gradient_Boosted_Trees
    0
  11. Workflow
    Parameter Optimization (Table) Component with Range Sliders on Multilayer Perceptron
    Parameter Optimization Machine Learning Multilayer Perceptron
    +4
    This workflow shows an example for the "Parameter Optimization (Table)" component (kni.me/c/dIpKMJbiO-3019eb) with range filters.…
    k10shetty1 > Parameter Optimization for Classification > 02_Parameter_Optimization_with_Components > 03_Parameter_Optimization_(Table)_Component_with_Range_Sliders_on_Multilayer_Perceptron
    0
  12. Workflow
    Parameter Optimization (Table) Component with Range Sliders on Random Forest
    Parameter Optimization Machine Learning Random Forest
    +3
    This workflow shows an example for the "Parameter Optimization (Table)" component (kni.me/c/dIpKMJbiO-3019eb) with range filter. …
    k10shetty1 > Parameter Optimization for Classification > 02_Parameter_Optimization_with_Components > 04_Parameter_Optimization_(Table)_Component_with_Range_Sliders_on_Random_Forest
    0
  13. Workflow
    Parameter Optimization Loop on Logistic Regression Classification
    Parameter optimization Optimization Machine learning
    +2
    This workflow shows an example of parameter optimization in a logistic regression model. In the logistic regression we optimize s…
    k10shetty1 > Parameter Optimization for Classification > 01_Parameter_Optimization_with_Nodes > 02_Parameter_Optimization_Loop_on_Logistic_Regression
    0
  14. Workflow
    Training a GLM
    Classification Machine learning Prediction
    +3
    GML on the titanic data set
    sebastian_sauer > Public > titanic-glm1
    0
  15. 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
  16. Workflow
    Parameter Optimization Loop with Cross Validation
    Parameter optimization Optimization Machine learning
    +5
    This workflow shows an example of parameter optimization in a logistic regression model. In the logistic regression we optimize s…
    k10shetty1 > Parameter Optimization for Classification > 01_Parameter_Optimization_with_Nodes > 03_Parameter_Optimization_Loop_on_Logit_with_CV
    0
  17. 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
  18. 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
  19. 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
  20. Workflow
    Analytics - Model Selection to Predict Flight Departure Delays
    Data science Machine learning Model selection
    +4
    This workflow trains a number of data analytics models and automatically selects the best model to predict departure delays from …
    lukass > Public > Predicting_Departure_Delays_new > 01_Analytics
    0