Decompose gbm predictions into feature contributions
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Updated
Oct 14, 2018 - R
Decompose gbm predictions into feature contributions
These datasets and R scripts are complementary to the paper "Aphid honeydew may be the predominant sugar source for Aphidius parasitoids even in nectar-providing intercrops" published in Biological Control (https://doi.org/10.1016/j.biocontrol.2021.104596).
Exploring American beliefs in the COVID-19 conspiracy theory – Coronavirus is a Chinese bioweapon.
Development and validation of a risk prediction model with binary outcome using logistic regression - Code repository for the manuscript 'Assessing the performance of prediction models: a framework for some traditional and novel measures' by Steyerberg et al. (2010)
Kaggle: predict Russian real estate prices
Estimating a model to predict the output of an unknown dataset
Predication of Wine Quality with removing Outliers
Estimators of cross-validated prediction metrics with improved small sample performance
Data Science dashboard built using R Shiny. The app would allow a salesperson to input the specific details of the customer they are talking to, and receive a prediction from each of the underlying models in real-time. Based on this prediction, the salesperson could make targeted offers to the customer.
R Package for Predicting Water Quality at Flussbad
R Programming - Semester 212 - HCMUT
Classification prediction models of diabetes NHANES data in R: Logistic Regression, Random Forest, Naive Bayes and XGBoost comparisons
Usage of model averaging to improve total credit gap as predictor of financial crises
Prediction of Rainfall in Sleman Regency with Exponential Smoothing Algorithm using R
Digit recognition using Random Forest
Develop a logistic regression model and a CART model to predict diabetes outcome
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