precision-recall

There are 0 repository under precision-recall topic.

rafaelpadilla / Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
metrics object-detection average-precision mean-average-precision bounding-boxes precision-recall pascal-voc
Language:Python 4831
rafaelpadilla / review_object_detection_metrics
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.
metrics object-detection bounding-boxes pascal-voc pacal-voc-ap coco-dataset coco-api pascal-metrics average-precision mean-average-precision precision-recall
Language:Python 1004
deadskull7 / Pneumonia-Diagnosis-using-XRays-96-percent-Recall
BEST SCORE ON KAGGLE SO FAR , EVEN BETTER THAN THE KAGGLE TEAM MEMBER WHO DID BEST SO FAR. The project is about diagnosing pneumonia from XRay images of lungs of a person using self laid convolutional neural network and tranfer learning via inceptionV3. The images were of size greater than 1000 pixels per dimension and the total dataset was tagged large and had a space of 1GB+ . My work includes self laid neural network which was repeatedly tuned for one of the best hyperparameters and used variety of utility function of keras like callbacks for learning rate and checkpointing. Could have augmented the image data for even better modelling but was short of RAM on kaggle kernel. Other metrics like precision , recall and f1 score using confusion matrix were taken off special care. The other part included a brief introduction of transfer learning via InceptionV3 and was tuned entirely rather than partially after loading the inceptionv3 weights for the maximum achieved accuracy on kaggle till date. This achieved even a higher precision than before.
pneumonia-diagnosis inceptionv3 kaggle transfer-learning lungs f1-score confusion-matrix precision-recall xray healthcare
Language:Jupyter Notebook 100
CompML / PRTS
Unofficial Python implementation of "Precision and Recall for Time Series".
neurips-2018 precision-recall python time-series-analysis
Language:Python 38
saurf4ng / TaPR
Time-series Aware Precision and Recall for Evaluating Anomaly Detection Methods
anomaly-de evaluation-metrics time-series precision-recall
Language:Python 16
DIAGNijmegen / picai_eval
Evaluation of 3D detection and diagnosis performance —geared towards prostate cancer detection in MRI.
detection diagnosis evaluation metrics froc precision-recall roc
Language:Python 15
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
m-clark / confusionMatrix
Report various statistics stemming from a confusion matrix in a tidy fashion. 🎯
confusion-matrix sensitivity specificity positive-predictive-value negative-predictive-value precision-recall f1-score dice-coefficient true-positive-rate true-negative-rate false-positive-rate false-negative-rate balanced-accuracy false-discovery-rate false-omission-rate fallout kappa rand peirce tidy
Language:R 11
baaraban / pytorch_ner
LSTM based model for Named Entity Recognition Task using pytorch and GloVe embeddings
pytorch python named-entity-recognition lstm embeddings glove-embeddings glove glove-vectors nlp ipynb precision-recall f1-score multiclass-classification ner bilstm preprocessing
Language:HTML 9
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
rochitasundar / Customer-profiling-using-ML-EasyVisa
The aim is to find an optimal ML model (Decision Tree, Random Forest, Bagging or Boosting Classifiers with Hyper-parameter Tuning) to predict visa statuses for work visa applicants to US. This will help decrease the time spent processing applications (currently increasing at a rate of >9% annually) while formulating suitable profile of candidates more likely to have the visa certified.
decision-tree-classifier bagging-ensemble random-forest-classifier gradient-boosting-classifier adaboostclassifier xgboost-classifier stacking-ensemble grid-search-hyperparameters grid-search-cross-validation accuracy-metrics precision-recall f1-score
Language:Jupyter Notebook 7
mayankchaudhary26 / Classification
📊Course 3: Machine Learning Specialization course of Coursera by the University of Washington on Classification
machine-learning classification logistic-regression decision-trees boosting precision-recall
4
parshva45 / Information-Retrieval-System
An information retrieval system which consists of various techniques' implementations like indexing, tokenization, stopping, stemming, page ranking, snippet generation and evaluation of results
information-retrieval indexer lucene bm25 tf-idf smoothed-query-likelihood-model pseudo-relevance-feedback stemming snippet-generator precision-recall
Language:HTML 4
Radiography-Based-Diagnosis-Of-COVID-19-Using-Deep-Learning
neeraj1397 / Radiography-Based-Diagnosis-Of-COVID-19-Using-Deep-Learning
Developed a Convolutional Neural Network based on VGG16 architecture to diagnose COVID-19 and classify chest X-rays of patients suffering from COVID-19, Ground Glass Opacity and Viral Pneumonia. This repository contains the link to the dataset, python code for visualizing the obtained data and developing the model using Keras API.
deep-learning deep-neural-networks convolutional-neural-networks softmax-classifier covid-19 vgg16 machine-learning transfer-learning f1-score recall confusion-matrix accuracy-metrics precision-recall radiography python3 keras-tensorflow jupyter-notebook colab-notebook
Language:Jupyter Notebook 3
OmerHanan1 / IR-final-project
BGU, Information Retrieval final project. Search-engine, Wikipedia corpus.
information-retrieval precision-recall search-engine university-project wikipedia
Language:Jupyter Notebook 3
WINKAM / Classification-Metrics-Manager
Classification Metric Manager is metrics calculator for machine learning classification quality such as Precision, Recall, F-score, etc.
python accuracy-metrics machine-learning evaluation-metrics classification tensorflow object-detection precision-recall computer-vision
Language:Python 3
ameya98 / pr2roc
Resample precision-recall curves correctly!
precision-recall receiver-operating-characteristic machine-learning classification confusion-matrix
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
zakarich / TF-IDF-cranDataSet
tf-idf word2vec doc2vec precision-recall cran textmining evaluation
Language:Jupyter Notebook 2
ash-0521 / Abandoned-Object-Detection-in-crowded-environment-using-MATLAB
Trained MATLAB models for 82% precision/80% recall, optimized with blob analysis for 25% performance boost. User-friendly alarm system with 500+ engaged users.
accuracy bag-of-words blob-analysis classification-model computer-vision confusion-matrix deep-learning deep-reinforcement-learning f1-score gaussian-mixture-models image-processing kmeans-clustering machine-learning matlab object-detection precision-recall surf svm-classifier unstructured-data video-processing
1
MNIST-Classification
chandru-engineer / MNIST-Classification
In this project, the numeric digits are classified by using deep learning algorithm.
deep-learning machine-learning mnist-classification rnn-tensorflow cnn-keras accuracy-metrics precision-recall
Language:Jupyter Notebook 1
Gauravhulmukh / Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras
tensorflow keras autoencoder matplotlib-pyplot seaborn credit-card-fraud precision-recall
Language:Jupyter Notebook 1
gouravaich / finding-donors-for-charity
Apply supervised machine learning techniques and an analytical mind on data collected for the U.S. census to help CharityML (a fictitious charity organization) identify people most likely to donate to their cause
udacity udacity-nanodegree udacity-machine-learning-nanodegree machine-learning machine-learning-algorithms supervised-learning finding-donors naive-predictor precision-recall gaussian-naive-bayes-implementation decision-tree-algorithm ensemble adaboost boosting model-tuning grid-search feature-importance feature-selection
Language:Jupyter Notebook 1
mandyiv / Easy-Visa-Project
The objective of this analysis is to find patterns within the dataset to gain further understanding of the data and leverage it to choose a machine learning algorithm that can recommend a suitable profile for the applicants whose visa should be certified or denied
decision-tree-classifier exploratory-data-analysis f1-score gradient-boosting jupyter-notebook machine-learning-algorithms precision-recall random-forest-classifier
Language:Jupyter Notebook 1
rochitasundar / Classification-booking-cancelation-prediction-StarHotels
The aim is to develop an ML- based predictive classification model (logistic regression & decision trees) to predict which hotel booking is likely to be canceled. This is done by analysing different attributes of customer's booking details. Being able to predict accurately in advance if a booking is likely to be canceled will help formulate profitable policies for cancelations & refunds.
chi-squared-test confusion-matrix cost-complexity-pruning decision-tree-classifier grid-search-hyperparameters logistic-regression precision-recall roc-auc-curve scipy-stats sklearn-library statsmodels variance-inflation-factor
Language:Jupyter Notebook 1
SaadTariq01DataAnalyst / Prediction-of-Bank-Churn-Customer
The goal of this project is to develop a machine learning model that can help banks to identify customers who are likely to churn and take appropriate measures to retain them
accuracy-metrics decision-trees-algorithm f1-score logistic-regression-algorithm machine-learning precision-recall predictive-modeling random-forests-classifier support-vector-machines
Language:Jupyter Notebook 1
VivekSagarSingh / Probability-of-Credit-card-Default
Classification problem using multiple ML Algorithms
ada-boost-classifier bagging-ensemble confusion-matrix gradient-boosting-classifier gridsearchcv heatmap iqr linear-discriminant-analysis-classifier logistic-regression multicollinearity numpy pandas-python precision-recall random-forest-classifier roc-auc-curve smote statsmodels variance-inflation-factor
Language:Jupyter Notebook 1
Xu-Justin / detection-benchmark
Evaluate a detection model performance
object-detection benchmark mean-average-precision metrics pascal-voc precision-recall
Language:Python 1
Ashwin0229 / Collaborative-Filtering-K-nearest-neighbors-and-SVM
Using Collaborative Filtering predicting Movie Rating and K-nearest Neighbours & SVM algorithms for Number ClassificationNumber Classification
collaborative-filtering f1-score gridsearchcv k-nearest-neighbor-classifier linearsvc-model machine-learning-algorithms mean-absolute-error mean-square-error precision-recall python3 sklearn-library support-vector-machine svc
Language:Python 0
danort92 / Anti-Spam-Software-for-University-Mail
Mail SPAM Detector
confusion-matrix logistic-regression machine-learning multilayer-perceptron natural-language-processing nlp precision-recall
Language:Jupyter Notebook 0
grvnair / heart-failure-prediction
Compared the metrics and performance of different classification algorithms on Heart Failure dataset from UCI ML Repository
accuracy-score classification-algorithm classification-model decision-tree-classifier evaluation-metrics f1-score knearest-neighbors logistic-regression machine-learning precision-recall random-forest-classifier support-vector-classifier
Language:Jupyter Notebook 0
Ola76 / HR_analytics
Human Resources Analytics
eda feature-selection logistic-regression precision-recall predictive-modeling receiver-operating-characteristic confusion-matrix stacking
Language:Jupyter Notebook 0
Aalaa4444 / Garbage_Classification
CNN model to classify garbage
classification-report cnn-classification cnn-model confusion-matrix feature-extraction feature-selection genetic-algorithm image image-data-generator image-processing mobilenet mobilenet-model mobilenet-v3 pretrained-models svm svm-classifier xception-model genetic-algorithm-from-scratch precision-recall
Language:Jupyter Notebook
IgorAugust0 / information-retrievel
Information Retrieval models implemented in Python
boolean-model information-retrieval matplotlib nltk precision-recall python vector-space-model
Language:Python
JitalEn / LeadScore
Lead scoring case study
eda machine-learning machine-learning-algorithms precision-recall roc-auc-curve roc-curve
Language:Jupyter Notebook
sajidahmed12 / YOLOv5-precision-recall-f1-score
f1-scores object-detection precision-recall yolo-nas yolov5 yolov8
Language:Python

precision-recall

rafaelpadilla / Object-Detection-Metrics

rafaelpadilla / review_object_detection_metrics

deadskull7 / Pneumonia-Diagnosis-using-XRays-96-percent-Recall

CompML / PRTS

saurf4ng / TaPR

DIAGNijmegen / picai_eval

stefmolin / ml-utils

m-clark / confusionMatrix

baaraban / pytorch_ner

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

rochitasundar / Customer-profiling-using-ML-EasyVisa

mayankchaudhary26 / Classification

parshva45 / Information-Retrieval-System

neeraj1397 / Radiography-Based-Diagnosis-Of-COVID-19-Using-Deep-Learning

OmerHanan1 / IR-final-project

WINKAM / Classification-Metrics-Manager

ameya98 / pr2roc

RobertRusev / ML-FinFraud-Detector

zakarich / TF-IDF-cranDataSet

ash-0521 / Abandoned-Object-Detection-in-crowded-environment-using-MATLAB

chandru-engineer / MNIST-Classification

Gauravhulmukh / Credit-Card-Fraud-Detection-using-Autoencoders-in-Keras

gouravaich / finding-donors-for-charity

mandyiv / Easy-Visa-Project

rochitasundar / Classification-booking-cancelation-prediction-StarHotels

SaadTariq01DataAnalyst / Prediction-of-Bank-Churn-Customer

VivekSagarSingh / Probability-of-Credit-card-Default

Xu-Justin / detection-benchmark

Ashwin0229 / Collaborative-Filtering-K-nearest-neighbors-and-SVM

danort92 / Anti-Spam-Software-for-University-Mail

grvnair / heart-failure-prediction

Ola76 / HR_analytics

Aalaa4444 / Garbage_Classification

IgorAugust0 / information-retrievel

JitalEn / LeadScore

sajidahmed12 / YOLOv5-precision-recall-f1-score