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Results tagged with classification
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user 90427
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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1
answer
101
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When do I cross-validate?
I'm writing code to perform classification on novel data sets in our lab, and I'm confusing myself as to when I should be performing cross-validation. …
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2
votes
0
answers
858
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Classification: how important is the sample-to-feature ratio?
Some people mention you should have at least 5 times as many samples as features for classification problems 1. …
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2
votes
2
answers
459
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Am I performing feature selection correctly?
I'd like to design a feature extraction, selection, and classification scheme to use on novel data sets. For each row in a table I calculate 10 features. … Even with feature selection, classification using a single, known relevant feature can outperform classification on all features. …
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4
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1
answer
3k
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Does Naive Bayes assume normality?
I came across this paper about Naive Bayes that states
[Naive Bayes] is based on another common simplifying assumption: the values of numeric attributes are normally distributed within each class. …
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3
votes
1
answer
3k
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R caret classification - why doesn't model accuracy equal accuracy given by predict()?
I have a dataset with 1000 samples, and each sample is 1 of 3 classes. I'm training classifiers on the dataset and predicting classes (5-fold cross-validated) and I'd like to know how well each classi …
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8
votes
1
answer
3k
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Can I use output of classifier A as feature for classifier B?
I have a classification data set, i.e. column of labels and N columns of features, and I use a classifier (A) to generate a column of predicted labels. …
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2
votes
1
answer
1k
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SVM classifier - can I average multiple models?
I'm performing SVM classification on a relatively large data set (~1M rows, 4 variables). … If so, would I average the classification scores, or internal model parameters, or something else entirely? …
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6
votes
2
answers
889
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Classifying time-series similarity - what variable should I train on?
I have ~10,000 time series, each with 65 time points. I'm interested in classifying each pair of time series as "similar" or "not similar". Here's an example of two similar (left) and not similar time …
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11
votes
3
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"Good" classifier destroyed my Precision-Recall curve. What happened?
I'm working with imbalanced data, where there are about 40 class=0 cases for every class=1. I can reasonably discriminate between the classes using individual features, and training a naive Bayes and …
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