Feed-forward neural networks. In this exercise, we implement a feed-forward neural network for a binary classification task.

Question:

Feed-forward neural networks. In this exercise, we implement a feed-forward neural network for a binary classification task. The goal is to predict whether the e-mail is spam (labeled as 1) or not (0) according to its attributes (e.g., word frequency, length of uninterrupted sequence of capital letters). The detailed description of the data set can be found at http://archive.ics.uci. edu/ml/ datasets/Spambase. To complete this exercise, you are required to

a. construct a multilayer feed-forward neural network for the spam prediction task and evaluate the model from the following perspectives, including prediction accuracy, F1 score, and AUC-ROC curve;

b. compare the performance of the models with various activation functions and different depth/width.

Fantastic news! We've Found the answer you've been seeking!

Step by Step Answer:

Related Book For  book-img-for-question

Data Mining Concepts And Techniques

ISBN: 9780128117613

4th Edition

Authors: Jiawei Han, Jian Pei, Hanghang Tong

Question Posted: