Exploring Machine Learning Models to Predict the Diamond Price: A Data Mining Utility Using Weka

Author:

Amzad Basha Md Shaik1,Martha Sucharitha M2,Devi A. Uma3,Ashok M4,Oveis Peerzadah Mohammad1

Affiliation:

1. Gandhi Institute of Technology and Management (Deemed to be University),GITAM School of Business,Bengaluru,India

2. Deemed to be University,Department of Professional Studies Christ,Bengaluru,India

3. SRM Valliammai Engineering College,Department of Management Studies,Chengalpattu,India

4. Rajalakshmi Institute of Technology,Department of Computer Science and Engineering,Chennai,India

Publisher

IEEE

Reference19 articles.

1. Performance Analysis of NB Tree, REP Tree and Random Tree Classifiers for Credit Card Fraud Data

2. SVM and Decision Stumps Based Hybrid AdaBoost Classification Algorithm for Cognitive Radios

3. Classification of Diabetes Dataset with Data Mining Techniques by Using WEKA Approach

4. Kaggle datasets repository,2017

5. The WEKA multilayer perceptron classifier;morariu;International Journal of Advanced Statistics and IT&C for Economics and Life Sciences,2017

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Extreme Learning Machines for Predict the Diamond Price Range;2023 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON);2023-12-05

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