All Questions
Tagged with features classification
7 questions
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11
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How do I represent the relationship between time and brightness in a machine learning model?
I have done all the feature engineering and am ready to start making a machine learning model that predicts the type of variable star based on its light curve. I have broken down this light curve into ...
1
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1
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747
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What kind of features does each node have as an input graph to a graph neural network?
What kind of features does each node have as an input graph to a graph neural network? For example, we want to do image classification with GNN, what are the features of each pixel? Or if anyone could ...
7
votes
2
answers
455
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How can a neural network distinguish a rotated 6 and 9 digits?
Rotated MNIST is a popular dataset for benchmarking models equivariant to rotations on $\mathbb{R}^2$, described by $SO(2)$ group or its discrete subgroups like $\mathbb{Z}^{n}$:
Group equivariant ...
1
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2
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3k
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What does the depth of a decision tree depend on?
In these notes, we have the following statement
The depth of a learned decision tree can be larger than the number of training examples used to create the tree
This statement is false, according to ...
2
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2
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152
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Can we train the model to detect real users with only positive labels?
We have hundreds of thousands of customers records, and we need to take the benefits of our data to train a model that will recognize fake entries or unrealistic ones for our platform, where customers ...
1
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1
answer
71
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When doing binary classification with neural networks, how can I order the importance of the features for a class?
I have a simple neural network for binary classification.
The input features include age, sex, economic situation, illness, disability, etc. The output is simply 1 and 0.
I would like to order the ...
6
votes
1
answer
505
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How to add more features to the input of a machine learning algorithm?
I am trying to perform a binary classification of tweets using machine learning.
The usual way of doing this seems to be putting a hand-classified tweet's words into a big vector, then use that ...