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Search results for f1 score
f1-score
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14 search results found
Whitebox
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184
[Not Actively Maintained] Whitebox is an open source E2E ML monitoring platform with edge capabilities that plays nicely with kubernetes
Machine_learning
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21
A repository of resources for understanding the concepts of machine learning/deep learning.
Google Bert On Fake_or_real News Dataset
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12
📚 Use Google BERT on fake_or_real news dataset with best f1 score: 0.986
Parkinsons Vocal Analysis Model
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11
Verifying suitability of dysphonia measurements for diagnosis of Parkinson’s Disease using multiple supervised learning algorithms.
Study 09 Machinelearning A
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10
With some projects to develop "TOOLs" for better Modeling
Ddiextraction
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9
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.
Clustering Based Anomaly Detection
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8
This clustering based anomaly detection project implements unsupervised clustering algorithms on the NSL-KDD and IDS 2017 datasets
Hand Gesture Recognition Machine Learning
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8
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
Named Entity Recognition
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8
Corpus and a baseline neural network system for Named Entity Recognition in Hindi-English Code-Mixed social media text.
Xmeasures
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8
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
Bfscore_python
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7
Boundary F1 Score - Python Implementation
Confusionmatrix
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7
Report various statistics stemming from a confusion matrix in a tidy fashion. 🎯
Twitter Sentiment Analysis With Python
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7
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.
Nerval
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5
Python framework to evaluate Named Entity Recognition (NER) models. Creates entity-level confusion matrix and classification report.
1-14 of 14 search results
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