Build a logistic regression classifier

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Machine Learning Assignment -

Written Question: Neural Networks for XOR Problem

Read Chapter 6.1 of the Deep Learning Book (pages 168{177), use your own words to explain why neural networks would be a good fit for learning the XOR function.

Machine Problem: Sentiment Classification Using Logistic Regression

The goal of this assignment is for you to gain familiarity with the logistic regression (LR) classifier. Specifically, you will implement a logistic regression classifier and apply it to a sentiment classification task.

For this homework, you will use the sample dataset as provided in HW1. They are included in the homework package. In particular, positive.review and negative.review are two data files that respectively contain positive and negative book reviews. Each line in the file corresponds to a review document. Each token (e.g., year:2) in the line corresponds to a word and its frequency in the document. The last token (e.g., #label#:negative) in each line indicates the polarity (label) of the document.

Your task is to build a logistic regression classifier and apply it to sentiment classification. The input to the LR classifier is the same document-term matrix (with term frequency as cell value) as for the multinomial Naive Bayes classifier in HW1. For this homework, you are allowed to use any logistic regression toolkit, but Scikit-learn is particularly recommended.

You are required to randomize the data instances in the same way as in HW1 (i.e., set np.random.seed(0)). Then, 80% of the data will be used for training and 20% for testing the LR classifier performance. This is to ensure that the same train and test data instances will be used by everyone.

You will report performance on the test set using precision, recall, and F-score. F-score is defined as F1 = (2xPxR)/(P+R), where precision (P) and recall (R) are calculated with respect to the positive data instances.

Attachment:- Assignment Files.rar

Reference no: EM132238186

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len2238186

2/20/2019 4:04:34 AM

Written Question: Neural Networks for XOR Problem (40 points) and Machine Problem: Sentiment Classification Using Logistic Regression (60 points). Please submit: (1) A report named report firstname lastname.pdf. In the file, report the F-score on test set, and describe your experimental setup, including but not limited to the programming language, preprocessing steps, running time, etc. (2) source code of your implementation in a zipped/tar file.

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