In machine learning and statistics, classification is the problem of identifying which of a set of categories a new observation belongs to, on the basis of a training set of data containing observations whose category membership is known.
0
votes
0answers
12 views
Measure and tune performance of OpenCV ML classifiers
I'm trying to improve the performance of a classifier. I'm using OpenCV implementation of Random Trees.
My dataset consist of a set of ~500K vectors, with 12 features each (I could easily rise the ...
-1
votes
0answers
33 views
Naive Bayes with R
I'm trying to use naive bayes in R for classification.
This is my data:
Anon_Student_Id Problem_Hierarchy Problem_Name Problem_View Number_Of_Steps Sum_Of_Steps_Duration ...
0
votes
2answers
32 views
Document Clustering in Java using Weka
I'm trying to cluster a group of news articles in Java that are about a particular topic. I crawled news sites about a particular topic using Crawler4J, rolled my own TF/IDF implementation comparing ...
0
votes
1answer
22 views
class imbalance isssue in multi-class classification
I need a multi-class classifier code which can work in the following class imbalance ploblem:
class 1--> 80%
class 2--> 7.5%
class 3--> 6%
class 4--> 4%
class 5--> 2.5%
there are total ...
1
vote
2answers
35 views
how to transform a text to vector
I'm learning classification. I read about using vectors. But I can't find an algorithm to translate a text with words to a vector. Is it about generating a hash of the words and adding a 1 to the hash ...
0
votes
1answer
18 views
KDD1999 dataset Features exolaination
I'm using KDD1999 dataset to prevent intrusion, but i have some questions about the features:
can someone explain to me or give me the meaning of the flags. Here is the list of the flags used in the ...
0
votes
2answers
43 views
Using libsvm into java code to perform prediction in a mobile device
My application contain a learning task which is an SVM classification. After a hard research I understand the basics of SVM and I also tried some example with libSVM tool via command line. However, my ...
android
-1
votes
0answers
11 views
Why would precision and recall scores be exactly the same?
I know that precision and recall will be the same if the FP and FN are the same. Yet, what does that mean? What does it tell about the data? Is it an over-fitting issue? My problem is a binary {0,1} ...
0
votes
1answer
27 views
How do i detect type of packet in the kdd99 with svm?
I am researching on Intrusion Detection system and I want to implement IDS with SVM in Matlab. I use Kdd99 as dataset. The kdd99 dataset contains 41 features and is labeled as either normal or attack ...
1
vote
0answers
17 views
naive bayes, 15 features on 35instances dataset - 7 classes
I'm doing my course project which contains a classification problem. It is about the classifying smartphone moves into 7 different classes. I'm using Accelerometer (LinearAcceleration). I've extracted ...
0
votes
1answer
21 views
Incremental Decision Tree in matlab
Can anyone recommend a decision tree classifier implementation, in Matlab, that can be used incrementally?
I have found class classregtree, but I couldn't find special argument for incremental ...
-1
votes
0answers
10 views
Saving WEKA output to file [closed]
I am new to Weka and trying to build a model using SMO classification.
Is there any way to save the output predictions to a file? The output window shows the percentage of correct classification, ...
0
votes
1answer
61 views
Matlab Neural Network gives unexpected results
I was toying around with the matlab neural network toolbox and I encountered some things I did not expect. My problem is especially with a classification network with no hidden layers, only 1 input ...
2
votes
1answer
48 views
Python: using scikit-learn to predict, gives blank predictions
I work in customer support, and I'm using scikit-learn to predict tags for our tickets, given a training set of tickets (approx. 40,000 tickets in the training set).
I'm using the classification ...
-1
votes
0answers
36 views
permutation testing libsvm matlab
I would like to apply a permutation test on my classification accuracy results, by randomly shuffling condition labels and performing the same classifications. I will need to do this ~10000 times ...
