think Thailand
  • Journey to Data & AI Workshop
  • Prerequisite
    • IBM Cloud
  • IBM Watson Studio Auto AI
    • Watson Studio Overview
    • Step 1: Watson Service Creation
    • Step 2: Build and train the model
    • Step 3: Deploy the trained model
    • Step 4: Test the deployed model
  • IBM Watson Discovery
    • Discovery Overview
    • Step 1: Create Discovery Service
    • Step 2: Launch the tooling
    • Step 3: Create a collection
    • Step 4: Download the sample document and upload to your collection
    • Step 5: Querying the dataset
  • Links
    • Sample Application: Use the Watson Discovery Service to analyze cyber security breaches
    • Sample data set source
    • Preparing CSV data set to Watson Discovery Service
    • Watson Studio Documentation
    • IBM Cloud Documentation
    • Discovery API documentation
    • IBM Developer
    • Discovery documentation
    • Sample Codes: IBM Developer Code Patterns
    • Free courses: COGNITIVE CLASS.AI
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  1. IBM Watson Studio Auto AI

Step 4: Test the deployed model

PreviousStep 3: Deploy the trained modelNextDiscovery Overview

Last updated 5 years ago

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You can test the deployed model from the deployment details page:

  • On the Test tab of the deployment details page, enter the following test data.

{"input_data":[{ "fields": ["GENDER","AGE","MARITAL_STATUS","PROFESSION",
"PRODUCT_LINE","PURCHASE_AMOUNT"], "values": [["M",27,"Single", "Professional",
"Camping Equipment",144.78]] }]}

Note that the test data replicates the data fields for the model with the exception of the prediction field.

  • Click Predict to predict whether a customer with the entered attributes is likely to buy a tent. The resulting prediction indicates that a customer with the attributes entered has a very high probability of purchasing a tent.

Tent model prediction