A library that helps you evaluate the performance of annotator systems, for example. Calculates evaluation metrics like precision, recall and F1-score.
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Updated
Apr 24, 2017 - Python
A library that helps you evaluate the performance of annotator systems, for example. Calculates evaluation metrics like precision, recall and F1-score.
Finding Donors for CharityML
Tuning of parameters of ML algorithms to optimise precision/f-score for fault detection in softwares
SMP_ETST 2018 christmas
Repository containing all the codes created for the lab sessions of CSE3018 Content Based Image and Video Retrieval at VIT University Chennai Campus
DevDay'21 Data Science Competition held by ACM-NUCES at Fast-NUCES, Karachi.
Given an instance of set of nodes in a social network graph, the aim is to find the influencing important users and to predict the likelihood of a future association between two nodes, knowing that there is no association between the nodes in the current state of the graph.
Here you can find different scripts to perform financial analysis with data from the Financial Modeling Prep API.
Performed feature selection using F-score method to filter out the important features in order to optimize the performance of Linear SVM machine learning model. The accuracy achieved was above 63%.
Text-based sentiment analysis plays a very important role in understanding customer opinions and preferences. But despite extensive research in sentiment and emotion analysis in text, a notable gap exists in understanding code-mixed texts. To address this, we propose an end-to-end transformer based model.
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