Material associated to the publication project on local trees methods for classification
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Updated
Feb 4, 2024 - R
Material associated to the publication project on local trees methods for classification
Classification of movie rankings
Class projects
Performed segmentation analysis and predictive modeling on insurance broker performance to conclude a random forest model (highest AUC of 73%) predicted whether 2020 Gross Written Premium will increase or decrease from 2019 with a misclassification rate of 35%. Four classification models (classification trees, logistic regression, random forests…
This project has the aim to analyze the Heart Disease dataset to build a classifiers to predict whether people have heart disease or not.
Overview of DS, Classification Tree, Regression Tree, Logistic Regression, Multiple Linear Regression, Random Forest Classifiers, p-value approach to Decision Tree, Disease Progression Models, Neural Networks and Deep Learning.
This is a type of decision tree algorithm( C 5.0) popularly used in machine learning applied on credits dataset.
A collection of problems solved with machine learning algorithms, using R.
Classification on the Kobe Bryant Shot Selection dataset (https://www.kaggle.com/c/kobe-bryant-shot-selection/data) using Decision Trees
Six machine learning models for predicting bladder cancer progression using Caret package
Multivariate Environmental Statistics (BEE6300) R Code
factor selection, exploratory data analysis, statistical learning on both qualitative and quantitative data in R
Lightcurve Classification for Periodically Varying Stars (SAMSI Undergraduate Workshop Project)
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