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Questions tagged [binary]

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7
votes
2answers
2k views

Why are precision and recall used in the F1 score, rather than precision and NPV?

In binary classification problems it seems the F1 score is often used as a performance measure. As far as I've understood the idea is to find the best tradeoff between precision and recall. The ...
23
votes
2answers
38k views

How to interpret classification report of scikit-learn?

As you can see, it is about a binary classification with linearSVC. The class 1 has a higher precision than class 0 (+7%), but class 0 has a higher recall than class 1 (+11%). How would you interpret ...
10
votes
4answers
295 views

Why might several types of models give almost identical results?

I've been analyzing a data set of ~400k records and 9 variables The dependent variable is binary. I've fitted a logistic regression, a regression tree, a random forest, and a gradient boosted tree. ...
3
votes
2answers
1k views

Using neural network for "features matching" binary classification

We have a dataset of numerical features from two images and we want to check if these images match or not using only these features. Basically we have have these columns: fA1, fA2, ..., fA14: 14 ...
1
vote
2answers
197 views

Training model on a Balanced vs Imbalanced dataset?

Let's say that I have a 2-class classification problem where classes A & B have 10*N and ...
0
votes
1answer
83 views

CNN for checking existance of single label

i am just thinking about training a neural network which uses data of only one single label. For example: Assuming i have many images which contain a dog. Now i want to teach the network how a dog ...