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Analisis Slump Test dengan Decision Tree by thalman is a document available to read on EtoBox.

What is Analisis Slump Test dengan Decision Tree about?

The document analyzes concrete slump test data using the decision tree method. It discusses using the Scikit-learn library in Python to create a decision tree model. The model is trained on dataset attributes like weight, load, strength to predict whether samples pass or fail the slump test, achieving 100% accuracy on the test data.

Author

thalman

Language

EN