Computational Statistical Methodologies and Modeling for Artificial Intelligence

2An Improved Random Forest for Classification and Regression Using Dynamic Weighted Scheme

Vikas Jain^* and Ashish Phophalia

Indian Institute of Information Technology, Vadodara, India

E-mails: [e-mail]

[e-mail]

DOI: 10.1201/9781003253051-3

Contents

1. 2.1Introduction
   1. 2.1.1Proposed Work
2. 2.2Random Forest
   1. 2.2.1Random Forest as Classifier
   2. 2.2.2Random forest as Regressor
3. 2.3Proposed Method
   1. 2.3.1Dynamic Weight Score Computation
4. 2.4Experimental Results
   1. 2.4.1Hyperspectral Image Classification
      1. 2.4.1.1Implementation Details and Performance Analysis
   2. 2.4.2Regression Application: Soil Moisture Prediction in Hyperspectral Dataset
      1. 2.4.2.1Implementation Details and Performance Analysis
   3. 2.4.3Object and Digit Classification ...