R Package for Imbalanced Regression
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Apr 3, 2023 - R
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evaluation-metrics
Here are 12 public repositories matching this topic...
Clustering and Link Prediction Evaluation in R
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Sep 23, 2023 - R
Partition comparison measures for community detection
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Oct 5, 2024 - R
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Feb 11, 2020 - R
Quantitative analysis for the Core20PLUS5 evaluation. Initialy will be an exploratory analysis of metrics of hypertension from the CVDPREVENT audit site informing whether a subsequent impact analysis is undertaken.
england exploratory-data-analysis evaluation nhs evaluation-metrics impact-evaluation cvdprevent core20plus5
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Jun 19, 2025 - R
My thesis on ranking algorithms, submitted in partial fulfilment of the requirements for the degree of Masters of Science in Computer Science (Data Analytics).
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May 24, 2020 - R
Instructional materials (course files) for the BBT4206 course (Business Intelligence II) using R. Topic: Evaluation Metrics.
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Oct 18, 2023 - R
AN EMPIRICAL DEMONSTRATION OF THE NO FREE LUNCH THEOREM
machine-learning r regression-models evaluation-metrics classification-models regression-datasets classification-datasets
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Aug 27, 2020 - R
This repository contains learning in Data Science for Business course while pursuing my Master's in Quantitative Management- Business Analytics program at Fuqua School of Business
data-visualization r-language predictive-modeling data-preparation data-cleaning evaluation-metrics model-deployment r-studio statitics
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Feb 14, 2024 - R
A multi-label classification model for classifying comments from Wikipedia talk page edits into different types of toxicity(insult, threat, identity hate, etc).
visualization r text-classification specificity wordcloud naive-bayes-classifier dimensionality-reduction recall logistic-regression sensitivity text-processing svd tfidf precision evaluation-metrics part-of-speech-tagger lemmatization classification-algorithims xgboost-model classification-model
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Oct 20, 2019 - R
A business manager of a consumer credit card portfolio is facing the problem of customer attrition. They want to analyze the data to find out the reason behind this and leverage the same to predict customers who are likely to drop off.
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Aug 20, 2023 - R
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