Which of the following statements is the best description of overfitting? The network can predict the correct outputs for test examples which lie outside the range of the training examples. The network becomes "specialized" and learns the training set too well. The network does not contain enough adjustable parameters (e.g., hidden units) to find a good approximation to the unknown function which generated the training data. None of these

Which of the following statements is the best description of overfitting? The network can predict the correct outputs for test examples which lie outside the range of the training examples. The network becomes "specialized" and learns the training set too well. The network does not contain enough adjustable parameters (e.g., hidden units) to find a good approximation to the unknown function which generated the training data. None of these

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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