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false-negative

Here are 8 public repositories matching this topic...

dataset-uta7-rates

MIMBCD-UI / dataset-uta7-rates

[IJHCS] UTA7: a dataset of rates (BI-RADS) provided by clinicians resulted from classifying the given medical images for breast cancer diagnosis.

medical-imaging human-computer-interaction user-testing user-centered-design breast-cancer false-positive false-negative birads bi-rads false-positive-rate false-negative-rate

Updated Apr 13, 2023
CSS

cbl-nabi / RNAChallenge

RNAchallenge dataset for the classification of protein-coding and non-coding RNAs

machine-learning false-positive false-negative non-coding-rna protein-coding-rnas

Updated Dec 4, 2022

imprld01 / Performance-Estimation-Tool-Java

A tool reading ground truth data and detected object data provides visualization way to estimate position accuracy.

java javafx frame java-gui fxml false-positive javafx-gui false-negative

Updated Sep 29, 2017
Java

thedatanerdz / MLP-6

Customer churn rate for telecom service provider.

machine-learning data-mining random-forest decision-tree-classifier churn-prediction false-positive customer-segmentation false-negative

Updated May 26, 2023
Jupyter Notebook

imprld01 / Performance-Estimation-Tool-Matlab

matlab frame matlab-gui false-positive false-negative

Updated Sep 29, 2017
MATLAB

Ava33343 / Risky_Business

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 appear…

machine-learning svm scikit-learn ensemble-learning confusion-matrix adaboost decision-trees gradient-boosting statstics false-positive random-forest-classifier false-negative logisticsregression roc-curves recall-precision smoteenn smote-oversampler

Updated Jul 24, 2020
Jupyter Notebook

oliviergimenez / prezDLoccupancy

Slides of a talk on deep learning, false negatives/positives and predator-prey interactions with R.

deep-learning rstats false-positive occupancy-modeling false-negative large-carnivores

Updated Mar 31, 2021
JavaScript

amatov / FeatureTrackingValidation

feature-detection biological-data-analysis benchmark-framework feature-tracking live-cell-imaging ground-truth graphical-user-interface false-positive false-negative biological-data-visualization time-lapse-dataset software-benchmarking epifluorescence-microscopy benchmarking-metrics fluorescent-speckle-microscopy low-signal-to-noise-ratio software-evaluation subresolution-cluster-of-fluorophores algorithm-validation wide-field-microscopy

Updated Nov 26, 2023
MATLAB

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