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Kyle.'s user avatar
Kyle.'s user avatar
Kyle.'s user avatar
Kyle.
  • Member for 12 years, 8 months
  • Last seen more than 1 year ago
21 votes

How to determine the quality of a multiclass classifier

10 votes
Accepted

Which SVM kernel to use for a binary classification problem?

7 votes
Accepted

Is it OK to mix categorical and continuous data for SVM (Support Vector Machines)?

5 votes
Accepted

Regarding precision and recall for the highly unbalanced validation data set

4 votes

For what type of problems nearest neighbor performs better

4 votes

Where to find a good beginner's R Primer?

4 votes
Accepted

How to combine a SVM classifier and a Naive Bayes classifier

3 votes

Machine learning algorithm for ranking

3 votes
Accepted

Random block design ANOVA in R

3 votes

How to do feature selection for learning from positive and unlabeled examples?

3 votes

A multi-label classification for tagging short text

3 votes

R plot set scale

2 votes

Dataset and papers for baseline

2 votes

Text Annotation tools

2 votes

Scalability of Markov Clustering

2 votes

Introduction to support vector machines

2 votes

How to interpret the number of k in k-nearest-neighbour classifier?

2 votes

Number of trees for Random Forest optimization using recursive feature elimination

2 votes
Accepted

Possible reason for failing to build a support vector machine

2 votes

What machine learning algorithms are good for estimating which features are more important?

2 votes

Basic Inter-rater reliability and type of data

2 votes

Tool for reading values from the chart

2 votes

How to equate questionnaires with different response scales

2 votes

Choosing features to identify Twitter questions as “useful”

2 votes

Where can I find information for variable descriptions

1 vote

What type of test and how many participants?

1 vote

LibSVM cost weights for unbalanced data doesn't work

1 vote

Predictive Modeling question on Weka

1 vote

Post hoc test in a 2x3 mixed design ANOVA using SPSS?

1 vote

kNN search using distance fitted to a training set of similar pairs