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Data Science : Recent Questions and Answers (Page 44)

Find answers to your questions about Data Science or help others by answering their Data Science questions.

How to utilize dictionary data set for text classification?

I have a dataset similar to newsgroup20 for classification. With the training dataset, I have a dictionary data set that explains some jargons in the training dataset. These both are...

Asked on 08/27/2021

1 answer

Can features negatively correlated with the target be used?

In feature selection (for a regression problem), can features that are negatively correlated with the target variable be chosen to predict the target? I don't think negative correlation means...

Asked on 08/27/2021

2 answer

Determining a correct ML approach

I've little idea about choosing a ML approach for the following problem. It is a classification problem and there are 2 classes that are positive and negative. There are about...

Asked on 08/27/2021 by colt.exe

1 answer

Guidelines for selecting an optimizer for training neural networks

I have been using neural networks for a while now. However, one thing that I constantly struggle with is the selection of an optimizer for training the network (using backprop)....

Asked on 08/27/2021 by mplappert

4 answer

How to make use of POS tags as useful features for a NaiveBayesClassifier for sentiment analysis?

I'm doing sentiment analysis on a twitter dataset (problem link). I have extracted the POS tags from the tweets and created tfidf vectors from the POS tags...

Asked on 08/27/2021

1 answer

LightGBM - Why Exclusive Feature Bundling (EFB)?

I'm currently studying GBDT and started reading LightGBM's research paper. In section 4. they explain the Exclusive Feature Bundling algorithm, which aims at reducing the number of...

Asked on 08/27/2021

3 answer

how come accuracy_score recognizes the positive label and precision_score does not?

I am executing this code which works perfectly for me: (I only have 'positive' and 'negative' sentiments):from sklearn import metricsprint('Accuracy:',metrics.accuracy_score(test_sentiments, predicted_sentiments)) print('Precision:',metrics.precision_score(test_sentiments, predicted_sentiments, pos_label='positive'))My question is: how come...

Asked on 08/27/2021

1 answer

Elbow method for cosine distance

I have clustered vectors by cosine distance using nltk clusterer. If I understand correctly, Y axis for elbow method in euclidian distance would be the sum of every distance (squared)...

Asked on 08/26/2021 by Ruuza

1 answer

Implementation of custom loss function invariant to batch size

When Implementing custom loss function how to make it invariant to the batch size. For example lets say dice loss is being implemented. The formula for dice loss is:...

Asked on 08/26/2021

0 answer

Is too much or very few training sample of a specific feature hamper the neural network model?

I am analysing a technique "Sherlock" - a semantic type of column detecting technique wherein training dataset too many samples of a specific type are limited up...

Asked on 08/26/2021 by Zannatul Ferdaus

1 answer

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