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Decision Tree Analysis of NFLX Stock Prices by muskaanriza0 is a document available to read on EtoBox.

This report analyzes the effectiveness of a Decision Tree Classifier in predicting Netflix Inc. stock prices from May 2023 to May 2025, utilizing daily price and volume data. The root node feature identified was Daily_Return, with a Gini impurity of 0.496800, and the model achieved a test accuracy of 61%. Limitations include a small sample size, lack of consideration for trading costs, and potential overfitting due to the shallow tree depth.

Author
muskaanriza0
Language
EN