Evaluation of supervised predictions for two-class and multi-class classifiers
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Updated
Feb 7, 2024 - Python
Evaluation of supervised predictions for two-class and multi-class classifiers
pyWitness performs data analyses and model fitting of recognition memory data, specifically eyewitness identification data.
[Master Thesis 2017] Scripts for calculating metrics to assess performance of a drug design software.
Python code to obtain metrics like receiver operating characteristics (ROC) curve and area under the curve (AUC) from scratch without using in-built functions.
The repository contains the code for the various machine learning algorithms used to make a predictive analysis of tweets on GST in India
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