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Visitors' Comments on Tutorial: DecisionTree



We have 12 comments on this tutorial
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rate up: | rate down: 1 | last rated date: 2017-10-20
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Question > decision trees accuracy rate/level (date: 2010-06-15)
By ariel ein
Hi Mr Tekmono, your post is great and explains the subject perfectly. just one thing, how could i calculate the tree\'s accuracy level? thanks in advance, Ariel
rate up: 93 | rate down: 60 | last rated date: 2017-10-17
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Answer > decision trees accuracy rate/level (date: 2010-06-18)
By Kardi
The simplest way is to compute misclassification error from the confusion matrix. Confusion matrix is a tabular comparison between the count of true labels and the predicted labels. Misclassification error is computed based on count of the error of classification compare to total cases. Check my Discriminant Analysis tutorial for the numerical example.
rate up: 99 | rate down: 59 | last rated date: 2017-10-18
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Question > Source code (date: 2010-07-22)
By Birhanu Alemu
Hello Dear, i need the source code of the decision tree algorithms using C#.pls forward me if u have
rate up: 104 | rate down: 59 | last rated date: 2017-10-19
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Thank you > Hello (date: 2010-07-22)
By zelalem seifu
Hi Mr Tekmono I am acquanted using your post because it helps me to solve my problems easily for your post is great and explains the subject perfectly.
rate up: 98 | rate down: 65 | last rated date: 2017-10-18
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Answer > Source code (date: 2010-07-25)
By Kardi
Hi Birhanu, I found C# code of ID3 in http://www.codeproject.com/KB/recipes/id3.aspx. Please check the resources page of Decision Tree tutorial for more comprehensive list in other programming languages
rate up: 94 | rate down: 52 | last rated date: 2017-10-20
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Thank you > great tutorial (date: 2010-11-03)
By Ritesh
Hi, Thanks for this great tutorial. It was very well written. Is it possible to download the whole tutorial as PDF
rate up: 65 | rate down: 57 | last rated date: 2017-10-18
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Answer > PDF (date: 2010-11-04)
By Kardi
Hi Ritesh, Thank you for your interest. The PDF file of each tutorial is available at cost of 14.89 USD paid through PayPal (you can use any major Credit Card). You will enjoy off-line benefit of the tutorial without any advertising and life time update of the tutorial. Please contact me again for the procedure of purchase if you are still interested.
rate up: 66 | rate down: 50 | last rated date: 2017-10-18
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Thank you > Machine Learning; Pattern Recognition (date: 2010-11-09)
By ZetaoChen
Thank you so much for the tutorial. It is very easy to understand and very useful for our learning
rate up: 54 | rate down: 53 | last rated date: 2017-10-19
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Thank you > Decision tree (date: 2010-11-12)
By alfredy
Dear Teknomo, I like your tutorial and article. They are excellent, clear and simple. Keep up the good work. Rgds, Alfredy
rate up: 83 | rate down: 52 | last rated date: 2017-10-18
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Question > Amazing tutorial .. what about pruning,overfitting etc? (date: 2017-03-27)
By ludovic desmedt
Hi Mr Kardi, You work is truly the best I have read so far on the internet. Thanks so much for this but not I have craving for more like over-fitting analysis,pruning method etc ? Is it something you plan to add in this tutorial to have a full end-to-end exhaustive content ? Thanks so much and regards
rate up: 32 | rate down: 26 | last rated date: 2017-10-18
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Thank you > identifying and counting objects in an image (date: 2017-06-06)
By Samuel Oryem
Hi, As a master student of the Machine learning, this has been useful to me while preparing for exam. Great job! I will appreciate further references on this site during my research.
rate up: 18 | rate down: 16 | last rated date: 2017-10-18
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