Topic: one-vs-one Goto Github
Some thing interesting about one-vs-one
Some thing interesting about one-vs-one
one-vs-one,Machine learning and optimization algorithms from scratch + visualization
User: alami-oussama
one-vs-one,This is a One-vs-One (OvO) Support Vector Machine (SVM) classifier in Python. The classifier is capable of classifying data with four different labels using the OvO method. The OvO method involves training multiple binary classifiers to distinguish between pairs of classes.
User: auroraliu3230
one-vs-one,Code for AAAI poster 'Training up to 50 Class ML Models on 3 $ IoT Hardware via Optimizing One-vs-One Algorithm'
User: bharathsudharsan
one-vs-one,
User: hasanfarhadi
one-vs-one,Machine Learning models for Alzheimer’s Classification
User: invcble
one-vs-one,Implemented logistic regression from scratch to train on sign language digits dataset and titanic dataset using one-vs-one and one-vs-all algorithms
User: mansi-k
one-vs-one,Numpy from-scratch implementation of ML Algorithms: Kernel Perceptron, kNN, MLP, and more
User: michalinabijak
one-vs-one,A system to predict the category of tweets during times of crisis (like - flood, cyclone, earthquake, wildfires, pandemic etc.) Multilabel classification was done. Here, we have used 24 categories(6 of which are actionable categories).
User: nimom38
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