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Results tagged with classification
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user 29025
Statistical classification is the problem of identifying the sub-population to which new observations belong, where the identity of the sub-population is unknown, on the basis of a training set of data containing observations whose sub-population is known. Therefore these classifications will show a variable behavior which can be studied by statistics.
2
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2
answers
1k
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Comparing individual predictions across two models
I want to find patterns in the way that two models, Model A and Model B, perform on my dataset. What are some good ways to compare the individual predictions of the two models for $N$ classes? If any …
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4
votes
Ensemble classifier methods: should we use the class probabilties or the classification itse...
The answer by mttk is quite nice. I will just add that you could also extract the probabilities and use them as input to a meta-classifier such as a simple logistic regression. This will automatically …
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2
votes
Convolutional neural network with non-image input data
Each pixel at the edge of the image is only captured in a single neuron in the first convolutional layer, making the information less used for classification (which reduces accuracy). …
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1
vote
1
answer
106
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Extra information at prediction time when using a Bayesian logistic regression vs. normal
I have a binary classification problem (i.e. is observation positive or negative) and I'm interested in what information I can obtain about observations in my test set. …
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5
votes
3
answers
2k
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Validation loss going down, but validation accuracy worsening
I'm training a simple logistic regression classifier on top of a rich feature set of 512 features for a binary classification problem. …
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1
vote
1
answer
326
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Converting 3-class predictions to single score
I have model predictions for 3 ordinal classes, negative, neutral and positive for the sentiment of a given text. For further analysis I'd like to have only a single number to specify the sentiment of …
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