Report various statistics stemming from a confusion matrix in a tidy fashion. 🎯
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Updated
Jul 10, 2020 - R
Report various statistics stemming from a confusion matrix in a tidy fashion. 🎯
Confusion Matrix plot for Optimizing Probability Thresholds 📈⛏
R package converting confusion matrix to network graph
BenchMetrics - A Systematic Benchmarking Method for Binary-Classification Performance Metrics
Classification Analysis with supervised algorithms KNN, RandomForest and SVM. Use of PCA and K-means to recognize the importance of features.
Data Science (Data preprocessing) along with machine learning where patients with digestive and kidney diseases are predicted using(kNN, Naïve Bayes , and Random Forest) classifiers in R Programming Language
PToPI - Periodic Table of Performance Instruments
Fake News analysis and prediction in R Script. Naive Bayes, Random Forest, SVM, NNET, ROC, Confusion Matrix, Accuracy, F1 score.
Naive Bayes, Confusion Matrix, and ROC Analysis were conducted using R to determine how different variables lead to a customer of a bank taking out a personal bank loan.
A common question when you're learning data science: "Sort the confusion matrix using your own function". This is a simple way to do it by using optimization.
TasKar – Binary-Classification Performance Dashboard/Calculator
Data Analytics and Machine Learning in R. Linear-regression, Logistic-regression, Hierarchical-clustering, Boosting, Bagging, Random-forests, K-means-clustering, K-nearest-neighbors (K-N-N), Tree-pruning, Subset-selection, LDA, QDA, Support Vector Machines (SVM)
Statistical Analysis, Discriminatory power using t-test, Train/Test set, Prediction by Voting mechanism for global accuracies.
Logistic Regression and Random Forest for Prediction US Flights in JAN 2015
Repositorio creado para almacenar archivos, script y el informe final del curso de modelamiento estadístico del Diplomado en Big Data de la Pontificia Universidad Católica de Chile.
mewto is an R package that allows you to experiment with different thresholds for classification of prediction results in the case of binary classification problems and visualize various model evaluation metrics, confusion matrices and the ROC curve. It also allows you to calculate the optimal threshold based on a weighted evaluation criterion.
Machine Learning App in R for predicting whether a newly released movie will be a hit or a flop. Practically useful for streaming services and cinemas.
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