6. Decision Tree Induction Using C4.5 or Gain Ratio with Solved Example Numerical by Shahzad Ali

Показать описание

This video lecture presents one of the famous Decision Tree Algorithm known as C4.5 which uses Gain Ratio as the Attribute Selection Measure. I have solved an Example Numerical in order to Construct a Decision Tree from a Dataset using the C4.5 Algorithm.

Follow me on

#DataMining
#C4.5_GainRatio
#DecisionTreeSolvedExample

Рекомендации по теме

Комментарии

It's snowing outside and I have my AI exam tomorrow. Your videos just helped clear my concepts. Thank you so much :)

ritenbhagra

Love how you've done this bilingually. Thank you for bringing some culture into my day :)

alittleteddy

I enjoyed your teaching, even though your language was different for me, but you had such clear slides that I fully understood. I appreciate your efforts.

حسینتقیپور-رق

Thanks lot. Great Explanation.
but at 21:40 the expression (3/5)*0.918+ (2/5)*1 evaluates to 0.951 instead of 0.7443 .

amna_zulfiqar

Special thanks for numerical example with good explanation.

noyanali

great sir it was very helping lecture bt you should keep working especially on Data Science Topic lectures because on YouTube we lack the helping material regarding data science

farmytech

Thank so much from India, so needed this

aashraymody

Nice explanation. Would you mind answering the following questions?

Questions:
1. What is the splitinfo and gain if |D1| = |D| and |D0| = 0?
2. What if due to noise in the data, and bad predictors the tree grows deep to classify individual examples at leaf? How do you overcome such situation?
3. What if during inference, there is a missing value for an attribute in the instance?

naseefmansoor

Beautifully explained; Thanks a lot :)

AmitKumar-BIDSP

Hi what if i get for information gain age attribute as first best split and for gain ratio credit rating as first best split.. is it correct or wrng, I mean both methods decision trees should be same or different

patanbushraanjum

You are fantastic, thank you very much!

elenikolovou

Thank you for such detailed explanation!

noushingauhar

thank you very much for this amazing example

MBH-

If in the end tree node it contain both yes and no means which one need to take

thamaraikannan

how make decision tree classifier use algorithm c4.5 in python
please i need help

mqinformatique

I find the split info for age at first as 1, 206596. Can you check it? I mean we have the same type but we get other result.

ΑντιόπηΠαντελή

Thank u so much, but I need the slides so please can you give it. I need it

hudajaleel

sir ap ki bht achi smj arae hy lkn 1 to 6 lec ap ny ni parhay to kindly agr ap un ki video b upload kr dyn ku k jo videos upload hui v hyn wo lec 1 to 6 wahan sy smj ni arayyy....or ye pochna ta k ye to numericals hyn lkn exams to objective ki form me hon gy to ye numericals kis trhan ayn gy kindly reply me

Noorulhuda-onni

What is difference between C4.5 and gain ratio

nishantpatil

What if the class attributes are 3 values ?

pranithareddy

6. Decision Tree Induction Using C4.5 or Gain Ratio with Solved Example Numerical by Shahzad Ali

#18 Decision Tree Induction - with Example |DM|

Decision Tree Classification Clearly Explained!

6. Decision Tree Induction Using C4.5 or Gain Ratio with Solved Example Numerical by Shahzad Ali

1. Decision Tree | ID3 Algorithm | Solved Numerical Example | by Mahesh Huddar

Lec-9: Introduction to Decision Tree 🌲 with Real life examples

Build Decision Tree using Gini Index Solved Numerical Example Machine Learning by Dr. Mahesh Huddar

Decision Tree Induction by Example | Data Mining and Applications

ID3 Algorithm to Build Decision Tree Buys Computer Solved Example in Machine Learning Mahesh Huddar

Decision Tree Induction using C4.5 or Gain Ratio with Solved Example Numerical | BY Neeli’s Galaxy

How to find the Entropy and Information Gain in Decision Tree Learning by Mahesh Huddar

Gini Index and Entropy|Gini Index and Information gain in Decision Tree|Decision tree splitting rule

9.1. Decision Tree Induction in WEKA by Shahzad Ali

2 Decision Tree | ID3 Algorithm | Solved Numerical Example by Mahesh Huddar

Lec-10: Decision Tree 🌲 ID3 Algorithm with Example & Calculations 🧮

Decision Tree Induction

Decision Tree Induction

5. Decision Tree Induction Using ID3, Information Gain with Solved Example Numerical by Shahzad Ali

3 Decision Tree | ID3 Algorithm | Solved Numerical Example by Mahesh Huddar

3.2 DATA MINING : Enhancements to Basic Decision Tree Induction & Introduction to Naïve Bayes...

7. Decision Tree Induction using CART or Gini Index with Solved Example Numerical by Shahzad Ali

How to find Entropy Information Gain | Gini Index Splitting Attribute Decision Tree by Mahesh Huddar

Splitting Continuous Attribute using Gini Index in Decision Tree Machine Learning by Mahesh Huddar

Decision Tree In Machine Learning | Decision Tree Algorithm In Python |Machine Learning |Simplilearn

Decision Tree using C4.5 Algorithm Solved Numerical Example | C4.5 Solved Example by Mahesh Huddar