How to i use optimal K in applying the model when i’m supposed to classify a market category?

ko2579
ko2579 New Altair Community Member
edited November 5 in Community Q&A
I’m supposed to split the dataset into 70% training and 30% test datasets. Apply the k-Nearest Neighbor algorithm using the optimal k. Interpret the results. Discuss the
performance of the predictive-type or classification-type learning. 

I tried using KNN clustering but i just ended up analysing the financial ratios. Please help🙏
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Answers

  • RolandJones
    RolandJones
    Altair Employee
    Hi @ko2579,

    Just to take each part of your question:
    • You can split your data into a training/test split using either Split Data or Split Validation
    • Make sure you use Set Role to set the correct variable to be your label
    • To find the optimal k value, you could manually change the k value, or use the X Means operator which will do this for you. See this thread here: https://community.rapidminer.com/discussion/60056/clustering-k-means
    Hope this helps.

    Best,
    Roland

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