All Questions
16 questions
2
votes
0
answers
430
views
Does scikit-learn support plotting calibration curve for multiclass classifier?
I have trained a multi class classifier and calibrated the classified using scikit-learn library's CalibratedClassifierCV class. To check how well the probabilities are calibrated, I tried plotting ...
- 21
1
vote
1
answer
253
views
How to handle with long-tail classification
I have a long tailed distribution with many classes,
and the num of samples per class is
...
- 57
2
votes
1
answer
620
views
How to fully evaluate a multiclass classification problem?
When you have a multiclass classification problem, what is the right way to evaluate it's performance?
What I usually do is to display the confusion matrix and the ...
- 212
0
votes
1
answer
703
views
Multiclassification: precision-recall from scratch vs sklearn
I would like to know if there´s any issue behind using sklearn's precision/recall metric functions and coding up from scratch in ...
- 225
1
vote
1
answer
1k
views
What is the maximum Target cardinality in multi-label classification?
I have a dataset that consists of a target column with 65 classes. Also, the dataset has 200 columns/features. I researched multi-label classification and found the popular algorithms that can be used ...
- 3,005
2
votes
1
answer
791
views
Custom metrics for multiclass classification when class errors have different weights
I have a multiclass classification problem (eg. the target variable is made by 4 different outcomes: Product A, Product B, Product C and NO Product). Not all the errors are equal: for example, if the ...
- 213
1
vote
1
answer
9k
views
What is difference between accuracy_score() and cross_val_score()?
The problem I'm working on is a multiclass-classification. Have been reading through lot of articles and documentation, but not able to figure out which of Accuracy_Score or Cross_Val_Score should be ...
- 413
-1
votes
1
answer
545
views
Anyway i can improve this multi class classification result?
I am building a multi class classification model using SVM to predict the grade for essays. What can I do to improve the result especially for class 1 and class 3? Their precision and recall are ...
- 1
2
votes
0
answers
1k
views
How to combine/aggregate classification accuracies from binary one-vs-one classifiers to get final accuracy equivalent a multiclass classifier?
Consider a 3 class data, say, Iris data.
Suppose we want do binary SVM classification for this multiclass data using Python's sklearn. So we have the following ...
- 173
1
vote
0
answers
264
views
Introducing "Unclassified" class into a multiclass classifier
I'm trying to multi-class classification problem with a small addition that I can't find a decent way to handle: according to domain knowledge, no classification is better than a wrong classification. ...
- 111
0
votes
0
answers
234
views
Multiclass text classification with insufficient dataset
I am working on a multi class text classification dataset which has 2719 data (only training set is available test set is not available) and 256 classes. Sentence length of each data is very short, ...
0
votes
1
answer
463
views
Recommended multiclass classification algortihms for this particular problem
I'm using this dataset, https://archive.ics.uci.edu/ml/datasets/Drug+consumption+%28quantified%29, in a research whose main goal is to find correlations among attributes that influences people to be ...
4
votes
3
answers
17k
views
Coefficients in Support Vector Machine
I have a few related questions:
What is the total number of fitted paramaeters in Python Support Vector Machine: sklearn.svm.SVC(kernel='linear') and sklearn.svm.SVC(kernel='rbf')?
I am trying to ...
- 442
2
votes
0
answers
876
views
Why is my SVM multiclass classifier only correctly predicting a few classes?
I'm doing an online course to learn the basics of Machine Learning. This exercise is on how to use a SVM classifier with multiple classes. While the problem is specific to question 2 from this ...
- 121
1
vote
0
answers
1k
views
Multi-class classifier with rejection option in Sklearn
I am working in a 3D gesture recognition project with kinect. So far, I have trained classifiers with 5 gestures. Still need to implement for real time recognition. The thing is this. Most of the ...
2
votes
0
answers
1k
views
Balancing Per-Class Accuracy of Multiclass Classifier
Suppose I have a multi-class classifier like Naive Bayes, k-Nearest Neighbors, Decision Trees, Random Forest, etc.
The classifier maps a feature vector to (let's say) 3 classes: A, B, or C. My ...
- 233