Awesome Open Source

Programming Languages

Search results for fold cross validation

cross-validation x

9 search results found

The blockCV package creates spatially or environmentally separated training and testing folds for cross-validation to provide a robust error estimation in spatially structured environments. See

Resamplr ⭐ 34

R package cross-validation, bootstrap, permutation, and rolling window resampling techniques for the tidyverse.

Groupdata2 ⭐ 24

R-package: Methods for dividing data into groups. Create balanced partitions and cross-validation folds. Perform time series windowing and general grouping and splitting of data. Balance existing groups with up- and downsampling or collapse them to fewer groups.

Stratified K Fold Cross Validation Image Classification Keras ⭐ 23

This python program demonstrates image classification with stratified k-fold cross validation technique.

Computationally efficient confidence intervals for cross-validated AUC estimates in R

Splittools ⭐ 10

Light weight R package to do fast data splitting for cross-validation or train/valid/test splits

Target Likelihood Encoding ⭐ 8

Generate target statistics

Uri Url Classification Using Recurrent Neural Network Svm And Randomforest ⭐ 7

URI-URL Classification using Recurrent Neural Network, Support Vector and RandomForest. The Implementation results follows with classification report, confusion matrix and precision_recall_fscore_support for each validation result of a 10-fold crossval

Nested Cross Validation Comparison ⭐ 7

Experimenting with various implementations and methods of nested cross-validation in R and Python

1-9 of 9 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.