f1-score
There are 205 repositories under f1-score topic.
squaredev-io/whitebox
[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes
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.
jeremy191/clustering-based-anomaly-detection
This clustering based anomaly detection project implements unsupervised clustering algorithms on the NSL-KDD and IDS 2017 datasets
SilentFlame/Named-Entity-Recognition
Corpus and a baseline neural network system for Named Entity Recognition in Hindi-English Code-Mixed social media text.
SudhakarKuma/Machine_Learning
A repository of resources for understanding the concepts of machine learning/deep learning.
minar09/bfscore_python
Boundary F1 Score - Python Implementation
magesh-technovator/feature-matching-opencv-python
Image key points Extraction, Description, Feature Matching
WilliamY97/Parkinsons-Vocal-Analysis-Model
Verifying suitability of dysphonia measurements for diagnosis of Parkinson’s Disease using multiple supervised learning algorithms.
eXascaleInfolab/xmeasures
Extremely fast evaluation of the extrinsic clustering measures: various (mean) F1 measures and Omega Index (Fuzzy Adjusted Rand Index) for the multi-resolution clustering with overlaps/covers, standard NMI, clusters labeling
abhishekdbihani/Home-Credit-Default-Risk-Recognition
The project provides a complete end-to-end workflow for building a binary classifier in Python to recognize the risk of housing loan default. It includes methods like automated feature engineering for connecting relational databases, comparison of different classifiers on imbalanced data, and hyperparameter tuning using Bayesian optimization.
EthanWng97/Google-BERT-on-fake_or_real-news-dataset
📚 Use Google BERT on fake_or_real news dataset with best f1 score: 0.986
bhattbhavesh91/classification-metrics-python
This is a simple python example to recreate classification metrics like F1 Score, Accuracy
yardstick17/DDIExtraction
Detecting drug-drug interaction (DDI) has become a vital part of public health safety. This project is an implementation of NLP based approach for such relation extraction between entities.
evernext10/Hand-Gesture-Recognition-Machine-Learning
Automatic method for the recognition of hand gestures for the categorization of vowels and numbers in Colombian sign language based on Neural Networks (Perceptrons), Support Vector Machine and K-Nearest Neighbor for classifier /// Método automático para el reconocimiento de gestos de mano para la categorización de vocales y números en lenguaje de señas colombiano basado en redes neuronales (perceptrones), soporte de máquina vectorial y K-vecino más cercano para clasificador
m-clark/confusionMatrix
Report various statistics stemming from a confusion matrix in a tidy fashion. 🎯
LeoTungAnh/CNN-CIFAR-100
67% accuracy on test set of CIFAR-100 by CNN in Keras without transfer learning
baaraban/pytorch_ner
LSTM based model for Named Entity Recognition Task using pytorch and GloVe embeddings
mainkoon81/Study-09-MachineLearning-A
With some projects to develop "TOOLs" for better Modeling
labrijisaad/Twitter-Sentiment-Analysis-with-Python
I aim in this project to analyze the sentiment of tweets provided from the Sentiment140 dataset by developing a machine learning sentiment analysis model involving the use of classifiers. The performance of these classifiers is then evaluated using accuracy and F1 scores.
manish-vi/social_network_graph_link_prediction
Link prediction in a directed social graph.
Padhma/Liver-Disease-Prediction
This project aims to predict liver disease in Indian patients
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.
maridda/nerval
Python framework to evaluate Named Entity Recognition (NER) models. Creates entity-level confusion matrix and classification report.
sanjeevai/sparkify-capstone
Data Analysis in Spark to Identify Customer Churn for a fictional music service(like Spotify)
soodoku/optimal_classification_cutoffs
Script for calculating the optimal cut-off for max. F1-score or accuracy
Stokeslet/Predicting-Football-Results-with-Machine-Learning
This is the code for predicting football (soccer) results by Amir Mirbagheri
Jalalbaim/Classify-X-rays-with-CNN
X-rays classification using deep learning
JuzerShakir/Forest_Cover-Type
Classifying Forest Cover type
lewis-morris/Skperopt
A hyperopt wrapper - simplifying hyperparameter tuning with Scikit-learn style estimators.
dawidolko/F1-Website-Design
F1 website design project.
Frost199/Elective-Course-Recommender-System
This is a web based elective course recommender system implemented with flask and Sklearn
GeorgeBatch/simpsons-classification
Image Classification Coursework: Classifying Simpsons Over the Past 25 Years
RimTouny/Phishing-Attack-Detection-using-Machine-Learning
Advancing Cybersecurity with AI: This project fortifies phishing defense using cutting-edge models, trained on a diverse dataset of 737,000 URLs. It was the final project for the AI for Cybersecurity course in my Master's at uOttawa in 2023.
Sameer411/Pneumonia-Detection-Bertelsmann-Scholarship
Worked on the Project Pneumonia Detection using Chest X-Ray in the Phase 1 Period of Bertelsmann Nano Degree Scholarship Program
yashkim77/AV_Twitter_Sentiment_Analysis
Twitter Sentiment Analysis (Ml hackathon)
OmidGhadami95/EfficientNetV2B0---PlantVillage
Plant disease detection on PlantVillage dataset using EfficientNetV2-B0