Visualize Classifier Error Weka

Posted by user1780592 on Stack Overflow See other posts from Stack Overflow or by user1780592
Published on 2014-06-13T03:21:19Z Indexed on 2014/06/13 3:24 UTC
Read the original article Hit count: 416

Filed under:

classification

|

weka

|

decisiontrees

Hye there i have a have datasets where this data i have test it on weka with J48 classifier

It give me an output = 87.2611%
Total of instances = 157
Correctly Instances = 137
Incorrectly instance = 20

Then i have do a visualize classifier error on my data. However my result have been decrease to:

New result = 85.4015% 
Correctly Instances = 117
Incorrectly instances = 20
Total of instances = 137

Is there any reason for that?

Should my result become much better after i do the visualize classifier error?

© Stack Overflow or respective owner

Related posts about classification

SVM Classification - minimum number of input sets for each class

as seen on Stack Overflow - Search for 'Stack Overflow'
Im trying to build an app to detect images which are advertisements from the webpages. Once I detect those Ill not be allowing those to be displayed on the client side. From the help that I got here in stackoverflow, I thought SVM is the best approach to my aim. So, I have coded SVM and an SMO myself… >>> More
Quick guide to Oracle IRM 11g: Classification design

as seen on Oracle Blogs - Search for 'Oracle Blogs'
Quick guide to Oracle IRM 11g indexThis is the final article in the quick guide to Oracle IRM. If you've followed everything prior you will now have a fully functional and tested Information Rights Management service. It doesn't matter if you've been following the 10g or 11g guide as this next article… >>> More
Bayes Misclassification error and plot : pattern recognition [closed]

as seen on Programmers - Search for 'Programmers'
Below is a Matlab code for Bayes classifier which classifies arbitrary numbers into their classes. training = [3;5;17;19;24;27;31;38;45;48;52;56;66;69;73;78;84;88]; target_class = [0;0;10;10;20;20;30;30;40;40;50;50;60;60;70;70;80;80]; test = [1:2:90]'; class = classify(test… >>> More
Issue in understanding how to compare performance of classifier using ROC

as seen on Programmers - Search for 'Programmers'
I am trying to demystify pattern recognition techniques and understood few of them. I am trying to design a classifier M. A gesture is classified based on the hamming distance between the sample time series y and the training time series x. The result of the classifier are probabilistic values. There… >>> More
Classification of relationships in words?

as seen on Stack Overflow - Search for 'Stack Overflow'
Hi, I'm not sure whats the best algorithm to use for the classification of relationships in words. For example in the case of a sentence such as "The yellow sun" there is a relationship between yellow and sun. THe machine learning techniques I have considered so far are Baynesian Statistics, Rough… >>> More

Related posts about weka

Export a SQL database into a CSV file and use it with WEKA

as seen on Stack Overflow - Search for 'Stack Overflow'
How can I export a query result from a .sql database into a .csv file? I tried with SELECT * FROM players INTO OUTFILE 'players.csv' FIELDS TERMINATED BY ',' LINES TERMINATED BY ';';` and my .csv file is something like: p1,1,2,3 p2,1,4,5 But they are not in saparated columns, all… >>> More
Image classification using openCV and weka

as seen on Stack Overflow - Search for 'Stack Overflow'
Hi i want to do image classification, so i am planning to use openCV for the preprocessing of image and weka to check which ML algorithm gives best result, so the problem i am facing is converting the image data in to weka ARFF file format, when i apply some image transformation to image and write… >>> More
Visualize Classifier Error Weka

as seen on Stack Overflow - Search for 'Stack Overflow'
Hye there i have a have datasets where this data i have test it on weka with J48 classifier It give me an output = 87.2611% Total of instances = 157 Correctly Instances = 137 Incorrectly instance = 20 Then i have do a visualize classifier error on my data. However my result have been decrease to:… >>> More
How to interpret weka classification?

as seen on Stack Overflow - Search for 'Stack Overflow'
How can we interpret the classification result in weka using naive bayes? How is mean, std deviation, weight sum and precision calculated? How is kappa statistic, mean absolute error, root mean squared error etc calculated? What is the interpretation of the confusion matrix? >>> More
Filtering Attributes with Weka

as seen on Stack Overflow - Search for 'Stack Overflow'
Hi eveyone! I have a simple question about filtering attributes in WEKA. Let's say I have 500 attributes 30 classes and 100 samples for each class which equals 3000 rows and 500 columns. This causes time and memory problems a you can guess. How do I filter attributes that occur only once or twice… >>> More