Explore the Data
Train Your First Classifier

Train Your First Classifier

With the data prepared, you can now train a model for the defined classification problem.  

Practice Goals:

Although you don't need to know how the ML algorithms work to use them, you do need to select an algorithm, configure the training process,  and be able to generate the results.  For practice, you'll want to run a few different classification algorithms and try to interpret the results. 

Hands-On Activities:

  • Select a Classifier:  Click [Choose]  
  • Configure the Train/Test Harness:  [Test Options]
  • Train and Test the Model:  Click [Start]
  • Interpret the Results:  [Classifier Output]

How-To Guides:

Using the Classify Tab to Select an Algorithm and Train/Test the Model