randleon / Decision-Tree-versus-Random-Forest-Performance-on-NY-State-Graduation-Data

Decision trees and random forest models can both be very effective when applied to classification problems. We compared the performance vs. complexity payoff between both models in this example using Pandas and NumPy

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