# Questions tagged [svm]

Support Vector Machines (SVM) are a popular supervised machine learning algorithm that can be used for classification or regression.

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### How to draw Deep learning network architecture diagrams?

I have built my model. Now I want to draw the network architecture diagram for my research paper. Example is shown below:
3k views

### Skewed multi-class data

I have a dataset which contains ~100,000 samples of 50 classes. I have been using SVM with an RBF kernel to train and predict new data. The problem though is the dataset is skewed towards different ...
1k views

### Classifying survey response text SVM

I have 800 responses to an open-ended survey question. Each response is categorized into 3 categories based on a list of 70 categories. These categories are things like "stronger leadership", "better ...
43k views

### Can you explain the difference between SVC and LinearSVC in scikit-learn?

I've recently started learning to work with sklearn and have just come across this peculiar result. I used the digits dataset ...
3k views

### The differences between SVM and Logistic Regression

I am reading about SVM and I've faced to the point that non-kernelized SVMs are nothing more than linear separators. Therefore, ...
8k views

### Predicting probability from scikit-learn SVC decision_function with decision_function_shape='ovo'

I have a multiclass SVM classifier with labels 'A', 'B', 'C', 'D'. This is the code I'm running: ...
1k views

### Custom metrics for unbalanced classes problem in RandomForest or SVM

My dataset has highly unbalanced classes ‒ foreground of 30 classes with tens of samples against background set of >100k samples. Classifying foreground class as background is quite OK, while ...
630 views

### Mathematical formulation of Support Vector Machines?

I'm trying to learn maths behind SVM (hard margin) but due to different forms of mathematical formulations I'm bit confused. Assume we have two sets of points $\text{(i.e. positives, negatives)}$ one ...
2k views

### Consequence of Feature Scaling

I am currently using SVM and scaling my training features to the range of [0,1]. I first fit/transform my training set and then apply the same transformation to my testing set. For example: ...
350 views

### How to quantify the performance of the classifier (multi-class SVM) using the test data?

I am working on a traffic sign recognition code in MATLAB using Belgian Traffic Sign Dataset. The dataset consists of training data and test data. I resized the given images and extracted HOG ...
1k views

### Should the output of regression models, like SVR, be normalized?

I have a regression problem which I solved using SVR. Accidentally, I normalized my output along with the inputs by removing the mean and dividing by standard ...
21k views

### Time series forecast using SVM?

I have a pandas data frame like this: ...
2k views

### What is the difference between C and lambda in the context of an SVM?

I don't understand the difference between the parameter $C$ and $\lambda$ in terms of the SVM. It seems to me that they are both involved in regulating over-fitting of the data. What difference ...
161 views

### Can we use Stop Words while using multinomial navies theorem?

I'm collecting Twitter tweets for sentiment analysis. I chose to use Multinomial Navies theorem for finding the sentiment. I found some examples of SVM theorem making use of stop words. My question ...
51 views

### Is it possible to implement a classifier according to quarters? What about missing data?

I have a dataset with several individuals and features. I'm studying behavior over the year (for instance, averages or iterations of money gained, jobs, etc.). My ultimate goal is to implement a ...
141 views

### Different runs of feature selection algorithm giving different set of selected feature. How to choose the best set among them?

I am using the forward feature selection algorithm from MATLAB. The code is as follows: ...