A company invest lot on employee to train them and make them ready for next generation business. Once you invest in skill enhancement of an employee you need to use it for benefit of business. Employee may be agitated even if they are being paid well as human have aspiration and if aspiration is fulfilled then they perform to their maximum capab…
A machine learning project that analyzes the Bank Marketing dataset to predict whether a client will subscribe to a term deposit, using data preprocessing, EDA, and classification models.
MUSA 5000 Assignment 3
Recipes for common operations in logistic regression: Data cleaning, ANOVA, ROC, & AUC
Code, data and resources for "How performance metric choice influences individual tree mortality model selection"
ROC-GLM and calibration analysis for DataSHIELD
A Shiny Application to Evaluate Diagnostic Tests Performance. It allows users to compute key performance indicators and visualize ROC curves, determine optimal cut-off thresholds, display confusion matrix, and export publication-ready plots. It supports both binary and continuous test variables.
A Roc library for converting things to Str
This is a tutorial analysing a fake study. The tutorial is aimed at people broadly familiar with basic stats, but who need a hand adapting this to R, and who are motivated to learn to code in R. More specifically, it looks at participant characteristics/descriptive stats, basic hypothesis testing, logistic regression, and ROC curve analysis
This project is a simple implementation of the Rank Order Centroid (ROC) method using PHP. ROC is a technique commonly used in decision support systems to assign weights to criteria based on their rank.
conmatrix 🔢👽🏁 : Confusion Matrix # Data Imbalance # Evaluation # Weights & Biases
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