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13 results

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Random Forest
Banking
Fraud Fraud detection Deployment Practicing Data Science SMOTE
+3
  1. Go to item
    Workflow
    Risk Scoring: Estimation of Probability of Default
    Risk Scoring Risk assessment
    +5
    The probability of default is a metric that lenders use to assess risk on customers, group them into similar risk bands, and dete…
    knime > Examples > 50_Applications > 38_Credit_Risk_Assessment > Credit_Scoring_Training
    1
  2. Go to item
    Workflow
    Fraud Detection: Model Deployment
    Fraud Fraud detection Random forest
    +5
    This workflow, the deployment workflow, reads the trained model, as well as the new transaction and applies the model to classify…
    knime > Examples > 50_Applications > 39_Fraud_Detection > 02_Fraud_Detection_Deployment
    1
  3. Go to item
    Workflow
    Risk Scoring: Estimation of Probability of Default
    Risk Scoring Risk assessment
    +5
    The probability of default is a metric that lenders use to assess risk on customers, group them into similar risk bands, and dete…
    alinebessa > Courses and Workshops > Norbert and Michael - Workshop > Credit_Risk_Assessment > Credit_Scoring
    0
  4. Go to item
    Workflow
    Risk Scoring: Estimation of Probability of Default
    Risk Scoring Risk assessment
    +4
    The probability of default is a metric that lenders use to assess risk on customers, group them into similar risk bands, and dete…
    sreekanthnair > Public > Credit_Scoring_Training
    0
  5. Go to item
    Workflow
    Fraud Detection: Model Training
    Fraud Fraud detection Random forest
    +5
    This workflow reads in the creditcard.csv file and trains and evaluates a Random Forest model to classify transactions as either …
    knime > Examples > 50_Applications > 39_Fraud_Detection > 01_Fraud_Detection_Model_Training
    0
  6. Go to item
    Workflow
    Fraud Detection by Supervised Learning
    Fraud Fraud detection Random forest
    +9
    This workflow reads in the creditcard.csv file and trains and evaluates a Logistic Regression and a Random Forest model to classi…
    knime > Education > Learnathons > Fraud_Detection_Tutorial > Exercises > 01_Fraud_Detection_by_Supervised_Learning
    0
  7. Go to item
    Workflow
    Risk Scoring: Deployment of Estimation of Probability of Default on New Applicant
    Risk Scoring Risk assessment
    +4
    The probability of default is a metric that lenders use to assess risk on customers, group them into similar risk bands, and dete…
    afzal-gul > Public > Credit_Scoring_Deployment
    0
  8. Go to item
    Workflow
    Fraud Detection: JSON Input
    Fraud Fraud detection Random forest
    +6
    This workflow showcases how the Container Input (JSON) and Container Output (JSON) nodes can be used to create a REST API for a w…
    jtyler > KNIME-Edge-Server-Workflows > Example_Use_Cases > General > Fraud Detection > 04_Fraud_Detection_JSON_Input
    0
  9. Go to item
    Workflow
    Fraud Detection: Table Input
    Fraud Fraud detection Random forest
    +6
    This workflow showcases how the Container Input (Table) and Container Output (Table) nodes can be used to create a REST API for a…
    jtyler > KNIME-Edge-Server-Workflows > Example_Use_Cases > General > Fraud Detection > 02_Fraud_Detection_Table_Input
    0
  10. Go to item
    Workflow
    Fraud Detection: Row Input
    Fraud Fraud detection Random forest
    +6
    This workflow showcases how the Container Input (Row) and Container Output (Row) nodes can be used to create a REST API for a wor…
    jtyler > KNIME-Edge-Server-Workflows > Example_Use_Cases > General > Fraud Detection > 01_Fraud_Detection_Row_Input
    0
  11. Go to item
    Workflow
    Fraud Detection by Supervised Learning
    Fraud Fraud detection Random forest
    +9
    This workflow reads in the creditcard.csv file and trains and evaluates a Logistic Regression and a Random Forest model to classi…
    knime > Education > Learnathons > Fraud_Detection_Tutorial > Solutions > 01_Fraud_Detection_by_Supervised_Learning
    0
  12. Go to item
    Workflow
    Fraud Detection: Row and Variable Input
    Fraud Fraud detection Random forest
    +6
    This workflow showcases how the Container Input (Row), Container Input (Variable) and Container Output (JSON) nodes can be used t…
    jtyler > KNIME-Edge-Server-Workflows > Example_Use_Cases > General > Fraud Detection > 03_Fraud_Detection_Row_And_Variable_Input
    0
  13. Go to item
    Workflow
    Risk Scoring: Deployment of Estimation of Probability of Default on New Applicant
    Risk Scoring Risk assessment
    +5
    The probability of default is a metric that lenders use to assess risk on customers, group them into similar risk bands, and dete…
    knime > Examples > 50_Applications > 38_Credit_Risk_Assessment > Credit_Scoring_Deployment
    0

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