Questions tagged [classification]

For questions related to the placement of individual cases into categories, such as is essential in fraud detection, spam detection, quality control, prediction of user or market responses, automated organizing or indexing, assigning objects in view to types of obstacles or risks, writing or typing recognition, phonic recognition, .

Classification is the automatic categorization of a new observation. This classification is based on a model produced from a training set of data containing observations whose classifications are given. Classification is especially useful for problems involving categorical data.

488 questions
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Can I combine two classifiers that make different kinds of errors to get a better classifier?

I have a dataset with 2,23,586 samples out of which i used 60% for training and 40% for testing. I used 5 classifiers individually, SVM, LR, decision tree, random forest and boosted decision trees. SVM and LR performed well with close to 0.9…
Sudha
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How to calculate the confidence of a classifier's output?

I'm training a classifier and I want to collect incorrect outputs for human to double check. the output of the classifier is a vector of probabilities for corresponding classes. for example, [0.9,0.05,0.05] This means the probability for the current…
Bill Yan
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Multi-Label Image Classification using KNN

I'm not quite sure how I should go about creating a multi-label image KNN classifier using python as a lot of the literature I have read does not explicitly explain this methodology. Specifically, I am not sure how I would be able to potentially…
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How many training example text classifier needs to be trained?

I want to train text classifier (using https://www.uclassify.com) with 12 classes/categories. I will be training it to classify news/articles (I know that there are existing classifier but I want to train my own). uclassify uses following algorithm…
user606521
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Decision tree classifier

I have seen weka j48 classifier, I want to build a classifier similar to it but I don't know how to go about it. Can anyone advice me on how to create a classifier algorithm for decision tree?
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Comparing parameters of networks

Maybe this is a silly way to compare networks, but I would like to compare several networks based on the number of parameters (learnable features) needed in each one. This is with regards to signal classification. Most networks take in a 2x128 or…
CakeMaster
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How to classify when the label is seldom known

When I think about classification I think of the cancer/not cancer example. You have a bunch of attributes and you know whether the person had cancer during the relevant time period and you determine which attributes predict that result. I work in a…
jsf80238
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Python Network for Simple Image Classification

I'm wondering if there exists a network for simple image classification. What I mean by this is if I have two image datasets, one of horses and one of zebras, I want to train off the horses and classify an image as either a horse or not a horse, so…
user20826
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Do I have enough images? Fine-tuning pre-trained models for bvinary image classification

I am developing a binary image classifier, and my dataset size is of 90 images. From a theoretical point of view, are they enough for fine-tuning a pre-traiend classifier? I plan to test the models listed here.
randomal
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Is there a shared minimalist taxonomy of the fields of AI?

Is there a reasonably accepted/shared view on how to minimally classify the various fields of AI? There are hundreds of techniques and I have not been able to find a shared exhaustive classification in reasonably disjointed 'fields', or approaches,…
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How can I approach this problem of producing a 3-bit binary string given a sequence of letters?

Suppose, I have the following data-set: ... ... ... ... AABBB 7.027 5.338 5.335 8.122 5.537 6.408 ABBBA 5.338 5.335 5.659 5.537 5.241 7.043 BBBAA 5.335 5.659 6.954 5.241 8.470 8.474 BBAAA 5.659 6.954 5.954 8.470 9.266 …
user366312
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Can an object's movement (instead of its appearance) be used to classify it?

I know that it is very common for machine learning systems to classify objects based on their visual features such as shapes, colours, curvatures, width-to-length ratios, etc. What I'd like to know is this: Do any techniques exist for machine…
JKSH
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