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Car Evaluation Dataset Analysis by MuhammadRidhoIryananda is a document available to read on EtoBox.

What is Car Evaluation Dataset Analysis about?

This document summarizes an evaluation of car attributes using a convolutional neural network model. It describes 4 cases that were tested with varying hidden layer sizes, neurons, iterations and learning rates. Case 4 achieved the highest accuracy up to 80% using 4 hidden layers with 100, 80, 70 and 60 neurons respectively, over 2000 iterations with a learning rate of 0.1 and momentum of 0.7. The dataset and code implementation are also referenced. Expanding the hidden layers and adding more training data

Author

MuhammadRidhoIryananda

Language

EN