Topic: false-positive Goto Github
Some thing interesting about false-positive
Some thing interesting about false-positive
false-positive,Tool to perform simple analytical evaluations on a network using RIDs (i.e. Bloom Filters) for packet forwarding.
User: adamiaonr
false-positive,:shoe: SequenceSense | A Robust Gesture Sequencing Tool
User: adildsw
false-positive,Safety regions research is a well-known task for ML and the main focus is to avoid false positives, i.e., including in the safe region unsafe points. In this repository, two methods for the research of zero FPR regions are proposed: the first one is based simply on the reduction of the SVDD radius until only safe points are enclosed in the SVDD shape; the second one instead performs successive iterations of the SVDD on the safe region until there are no more negative points.
User: albicarle
false-positive,Numerical methods programs solution.
Organization: aragle
false-positive,Machine learning for credit card default. Precision-recalls are calculated due to imbalanced data. Confusion matrices and test statistics are compared with each other based on Logit over and under-sampling methods, decision tree, SVM, ensemble learning using Random Forest, Ada Boost and Gradient Boosting. Easy Ensemble AdaBoost classifier appears to be the model of best fit for the given data.
User: ava33343
false-positive,Machine learning model to predict churn of credit card customers. Demonstration of novel XGBoost configuration for noisy, imbalanced data.
User: bdbacik
false-positive,RNAchallenge dataset for the classification of protein-coding and non-coding RNAs
Organization: cbl-nabi
false-positive,With a precision of 86% and model's CAP curve showing an accuracy of 100%! This means it is capable of correctly predicting 100% of patients with a heart disease after processing 50% of the data. The model's performance is "Too Good to be True"! However, with Train accuracy = 86% and Test accuracy = 82%, there is no visible sign of overfitting.
User: cyprianfusi
false-positive,Adds code action handlers for ltex-ls like: addToDictionary, disableRule, hideFalsePositive
User: icewind
false-positive,A tool reading ground truth data and detected object data provides visualization way to estimate position accuracy.
User: imprld01
false-positive,
User: imprld01
false-positive,move expression parts that don't rely on arguments to module scope
User: lue-bird
false-positive,This script it's used to disable the attribute 'to_ids' on MISP events, features removal of the IDS tag on old events or based on Reputational datasets results.
User: lzappy87
false-positive,Notícia Chique (NC) é Um projeto de site feito em grupo pode envolver diversos desafios e aprendizados valiosos para os envolvidos. No caso do site de notícias sobre "fake news".
User: marquincss
Home Page: https://marquincss.github.io/Not-cia-Chique-/
false-positive,[IJHCS] UTA7: a dataset of rates (BI-RADS) provided by clinicians resulted from classifying the given medical images for breast cancer diagnosis.
Organization: mimbcd-ui
Home Page: https://mimbcd-ui.github.io/dataset-uta7-rates
false-positive,Warning lists to inform users of MISP about potential false-positives or other information in indicators
Organization: misp
Home Page: http://misp.github.io/misp-warninglists/
false-positive,Proof of concept of a false-positive-based anti SYN scan
User: mrnfrancesco
false-positive,Contacts for VirusTotal scanners
User: namazso
false-positive,❎ Online Multiple Hypothesis Testing
User: oliverhennhoefer
Home Page: https://github.com/OliverHennhoefer/online-fdr
false-positive,Slides of a talk on deep learning, false negatives/positives and predator-prey interactions with R.
User: oliviergimenez
Home Page: https://oliviergimenez.github.io/prezDLoccupancy/
false-positive,RMarkdown file showing an example of using the Random Forest algorithm to examine Weather Data
User: samantha-bothwell
false-positive,Understanding of use of mAP as a metric for Objects Detection problems
User: sichkar-valentyn
false-positive,"Publication bias and the canonization of false facts" published in eLife (2016)
User: silasboyenissen
Home Page: https://elifesciences.org/articles/21451
false-positive,Group Project, CS454, AI Based Software Engineering, 2019 Fall
User: sleepy-juan
false-positive,Simple code giving the probability from the true versus the false positive rate
User: steviecurran
false-positive,Approximate palindromes lead to overstated false match rates in benchmarks using reversed sequences
Organization: traviswheelerlab
Home Page: https://www.biorxiv.org/content/10.1101/2023.06.19.545636v3
false-positive,Python parser for WPScan output files (JSON and CLI). It analyze vulnerabilities, miscellaneous alerts and warnings and other findings.
User: tristanlatr
false-positive,DeFP
User: tuanngokien
false-positive,Interactive Tool for Interpreting positive COVID-19 antibody tests
User: yungster
Home Page: https://yungster.github.io/positive-predictive-value/
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