roc-curve

There are 0 repository under roc-curve topic.

dformoso / sklearn-classification
Data Science Notebook on a Classification Task, using sklearn and Tensorflow.
data science machine learning sklearn tensorflow jupyter notebook docker roc machine-learning roc-curve classification-task
Language:Jupyter Notebook 681
louis-she / center-loss.pytorch
center loss for face recognition
pytorch center-loss face-recognition lfw roc-curve
Language:Python 175
xrobin / pROC
Display and analyze ROC curves in R and S+
roc cran r roc-curve bootstrapping hypothesis-testing plot plotting variance covariance machine-learning r-package
Language:R 114
metriculous-ml / metriculous
Measure and visualize machine learning model performance without the usual boilerplate.
classification confusion-matrix data-science deep-learning machine-learning model-comparsion model-evaluation model-selection precision-recall-curve python regression residual-plot roc-curve statistics visual-analysis
Language:Python 95
zzhanghub / eval-co-sod
PyTorch-Based Evaluation Tool for Co-Saliency Detection
co-saliency salient-object-detection pytorch evaluation f-measure e-measure s-measure auc pr-curve roc-curve average-precision mae mean-absolute-error python
Language:Python 91
Thie1e / cutpointr
Optimal cutpoints in R: determining and validating optimal cutpoints in binary classification
r roc-curve cutpoint-optimization bootstrapping
Language:R 83
ShoupingShan / Hyperspectral-image-target-detection-based-on-sparse-representation
Hyperspectral image Target Detection based on Sparse Representation
hyperspectral-image-classification sparse-reconstruction omp svm target-pixel roc-curve
Language:MATLAB 68
marcotav / supervised-machine-learning
This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using Lasso and Ridge regressions.
machine-learning classification webscraping natural-language-processing beautifulsoup4 random-forest logistic-regression decision-trees roc-curve auc clicks media
Language:Jupyter Notebook 42
Bharat-Reddy / Bank-Marketing-Analysis
The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution. The classification goal is to predict if the client will subscribe a term deposit.
bank-marketing-analysis bank-marketing bank-marketing-dataset-analysis pattern-recognition artificial-intelligence classification analysis data-science data-visualisation computational-intelligence svm-classifier logistic-regression linear-regression data-preprocessing data-preparation uci-machine-learning uci-bank-marketing-dataset pca principal-component-analysis roc-curve
Language:Jupyter Notebook 17
LeihuaYe / Machine-Learning-Rare-Event-Classification
With unbalanced outcome distribution, which ML classifier performs better? Any tradeoff?
machine-learning machine-learning-algorithms supervised-learning supervised-machine-learning supervised-learning-algorithms logistic-regression decision-trees knn random-forest svm roc-curve auc
13
stefmolin / ml-utils
Machine learning utility functions and classes.
roc-curve roc-auc pr-curve precision-recall precision-recall-curve pca scree-plot elbow-method elbow-plot adjusted-r-squared pipeline machine-learning confusion-matrix residuals
Language:Python 12
mansipatel2508 / Network-Intrusion-Detection-with-Feature-Extraction-ML
The given information of network connection, model predicts if connection has some intrusion or not. Binary classification for good and bad type of the connection further converting to multi-class classification and most prominent is feature importance analysis.
network-intrusion-detection feature-extraction feature-selection feature-importance binary-classification multiclass-classification confusion-matrix roc-curve pearson-correlation-coefficient rfe l1-regularization l2-regularization fclassif select-percentile extrat-tree-classifier rfc
Language:Jupyter Notebook 10
Mr-TalhaIlyas / Evaluation-Metrics-Package-Tensorflow-PyTorch-Keras
ML/CNN Evaluation Metrics Package
precision-recall dice-coefficient confusion-matrix classification-accuracy curve precision-recall-curve roc-curve f-measure average-precision segmentaion-metrics classification-metrics object-detection-metrics
9
abichat / evabic
Evaluation of Binary Classifiers
statistics classifier measures predictors roc-curve
Language:R 6
FatemehGholamzadeh / Machine-Learning
Assignments of Machine Learning Graduate Course - Spring 2021
machine-learning python regression classification clustering logistic-regression knn-classification kmeans-clustering hierarchical-clustering deep-learning deep-q-learning mnist mnist-classification naive-bayes-classifier roc-curve dbscan-algorithm reinforcement-learning random-forest-classifier adaboost gradient-boosting
Language:Jupyter Notebook 6
unnathi10 / HateSpeechDetection
Detecting hate speech using the spoken content of videos using Machine Learning
deep-learning google-speech-to-text hate-speech linear-svm machine-learning naive-bayes python random-forest rnn roc-curve
Language:Jupyter Notebook 6
ksopyla / scikit-learn-tutorial
Scikit-learn tutorial for beginniers. How to perform classification, regression. How to measure machine learning model performacne acuuracy, presiccion, recall, ROC.
scikit-learn tutorial text-classification tfidf-vectorizer roc-curve
Language:Python 5
pajaskowiak / clusterConfusion
Clustering validation with ROC Curves
clustering clustering-algorithm clustering-analysis clustering-evaluation roc-analysis roc-auc roc-auc-curve roc-plot auc-score clustering-validation hierarchical-clustering k-means k-means-clustering roc-auc-score roc-curve roc-curves
Language:R 5
11808s8 / python-neural-network
A simple neural network with backpropagation used to recognize ASCII coded characters
python python3 ascii neural-network rede-neural redes-neurais-artificiais artificial-neural-networks backpropagation backpropagation-learning-algorithm backpropagation-neural-network sigmoid-function sigmoid-activation matplotlib matplotlib-figures roc-curve roc-plot neural-net
Language:Python 4
balcilar / Orthonormal-Face-Recognition
L2 Orthonormal Face Recognition Performance under L2 Regularization Term
image-processing face-recognition matlab orthonormality classification machine-learning roc-curve
Language:MATLAB 4
ilyajob05 / ROC_calculation
calculate ROC curve and find threshold for given accuracy
python roc-curve classification-algorithm roc-auc roc-evaluation roc-plot classifier classification auc auc-roc-curve
Language:Python 4
nssharmaofficial / Binary-classification-in-medicine
Classification of spondylodiscitidis vs metastasis in the spine using Neural Networks
binary-classification logistic-regression machine-learning medical-application medicine neural-network radiomics radiomics-analysis radiomics-feature-extraction radiomics-features random-forest roc-curve support-vector-machines
Language:Python 4
pkiage / tool-credit-risk-modelling
Tool demonstrating building credit risk models
data-science credit-risk python model-building streamlit visualization automl automated-machine-learning loan-default-prediction loans reproducible-experiments credit-scoring xgboost machine-learning numpy pandas sklearn linear-model roc-curve classification-report
Language:Python 4
spChalk / Vaccine-Sentiment-Classifier
:syringe: Vaccine Sentiment Classifier is a deep learning classifier trained on real world twitter data, that distinguishes 3 types of tweets: Neutral, Anti-vax & Pro-vax.
attention-mechanism bag-of-words bert bidirectional-rnn classification-report count-vectorizer data-cleaning data-preprocessing glove-embeddings gru hashing-vectorizer hyperparameter-tuning imbalanced-data learning-curve lstm n-grams optuna roc-curve softmax-regression tf-idf
Language:Jupyter Notebook 4
doronser / Debbi-s-Cube
Step-by-step guide of Hyperspectal Target Detection
hyperspectral-imaging match-filter roc-curve target-detection
Language:MATLAB 3
eeddaann / data-mining-project
data-mining machine-learning feature-engineering feature-selection knn-classifier pca-analysis gaussian-naive-bayes-implementation mlp-classifier boosting roc-curve confusion-matrix
Language:Jupyter Notebook 3
gagejane / Suicide-bombings
Used the Global Terrorism Database to Explore Features of Suicide Bombings
lda roc-curve roc-auc decision-trees random-forest-classification gradient-boosting machine-learning feature-importance geospatial-data global-terrorism-database suicide-bombings terrorism gensim
Language:Jupyter Notebook 3
ivonajdenkoska / face-recognition-algorithms
Face recognition, tackling three different "old-school" Computer Vision techniques - as part of the Biometrics System Concepts course @ KU Leuven
face-recognition principal-component-analysis linear-discriminant-analysis local-binary-patterns computer-vision feature-extraction biometric-systems roc-curve auc-roc-score kuleuven biometrics face-identification
Language:Jupyter Notebook 3
Kimonokimo / Machine-Learning-Projects
Machine Learning studies at Brandeis University, with my best friends Ran Dou, Tianyi Zhou, Dan Mduduzi, Siyan Lin.
machine-learning clustering classification regression rmarkdown jupyter-notebook data-science data-visualization data-analysis diabetes-prediction healthcare-analysis monte-carlo knn k-means roc-curve confusion-matrix cross-validation decision-trees python rstudio
Language:Jupyter Notebook 3
liangyy / silver-standard-performance
A light and flexible R package to evaluate GWAS-based gene prioritization methods for complex traits.
gwas pr-curve roc-curve complex-traits gene-prioritization evaluation-framework
Language:R 3
mahajanaman / Health-Insurance-Analytics
Making use of R programming, the analysis is focussed on the problem which insurance providers are facing today to define their target market and plan their sale strategies which helps them increase their market share and thereby, maximize their profitability. The analysis techniques used in the project are learnt through Data Analysis and Decision Making course at Rutgers University.
r-programming data-analysis visualization ggplot2 generalized-linear-models anova data-cleaning predictive-modeling correlation-matrices regression roc-curve f-test
3
nssharmaofficial / Binary-classification-Tumor-vs.-Infection
Classification of spondylodiscitidis vs metastasis in the spine using multiple approaches in R
binary-classification logistic-regression machine-learning r-programming r-studio radiomics radiomics-analysis radiomics-feature-extraction radiomics-features random-forest roc-auc-curve roc-curve support-vector-machines
Language:R 3
sanketmaneDS / Logistic_Regression
This repository contains introductory notebook for logistic regression
bivariate-analysis classification-report confusion-matrix logistic-regression roc-curve train-test-split univariate-analysis
Language:Jupyter Notebook 3
adarshsankarrs / Spotify-Data-Analysis---RF-vs-MLP-Study
The project involves using machine learning techniques, like RandomForestClassifier and MLP, to predict whether a song will be popular or not based on its acoustic features. The input consists of various acoustic and metadata features, while the output is a binary classification.
mlp precision-recall-curve random-forest roc-curve
Language:Jupyter Notebook 2
nikhil-188 / BankruptcyPrediction
Our project aims to utilize machine learning techniques for bankruptcy prediction, leveraging data analysis and predictive models to forecast the likelihood of a company experiencing financial insolvency.
bankruptcy-prediction logistic-regression naive-bayes python random-forest roc-curve support-vector-machine svm algorithms machine-learning
Language:Jupyter Notebook 2
RobertRusev / ML-FinFraud-Detector
ML-FinFraud-Detector is a machine learning project for detecting financial transaction fraud. Utilizing XGBoost, precision-recall, and ROC curves, it provides accurate fraud detection. Explore feature importance, evaluate model performance, and enhance financial security with this comprehensive fraud detection solution.
classification data-analysis data-preprocessing data-science data-visualization feature-importance financial-fraud fraud-detection jupyter-notebook machine-learning model-evaluation precision-recall python roc-curve xgboost
Language:Jupyter Notebook 2

roc-curve

dformoso / sklearn-classification

louis-she / center-loss.pytorch

xrobin / pROC

metriculous-ml / metriculous

zzhanghub / eval-co-sod

Thie1e / cutpointr

ShoupingShan / Hyperspectral-image-target-detection-based-on-sparse-representation

marcotav / supervised-machine-learning

Bharat-Reddy / Bank-Marketing-Analysis

LeihuaYe / Machine-Learning-Rare-Event-Classification

stefmolin / ml-utils

mansipatel2508 / Network-Intrusion-Detection-with-Feature-Extraction-ML

Mr-TalhaIlyas / Evaluation-Metrics-Package-Tensorflow-PyTorch-Keras

abichat / evabic

FatemehGholamzadeh / Machine-Learning

unnathi10 / HateSpeechDetection

ksopyla / scikit-learn-tutorial

pajaskowiak / clusterConfusion

11808s8 / python-neural-network

balcilar / Orthonormal-Face-Recognition

ilyajob05 / ROC_calculation

nssharmaofficial / Binary-classification-in-medicine

pkiage / tool-credit-risk-modelling

spChalk / Vaccine-Sentiment-Classifier

doronser / Debbi-s-Cube

eeddaann / data-mining-project

gagejane / Suicide-bombings

ivonajdenkoska / face-recognition-algorithms

Kimonokimo / Machine-Learning-Projects

liangyy / silver-standard-performance

mahajanaman / Health-Insurance-Analytics

nssharmaofficial / Binary-classification-Tumor-vs.-Infection

sanketmaneDS / Logistic_Regression

adarshsankarrs / Spotify-Data-Analysis---RF-vs-MLP-Study

nikhil-188 / BankruptcyPrediction

RobertRusev / ML-FinFraud-Detector