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Optimize classifier for multiclass Brier score instead of accuracy
I am more interested in optimizing my multiclass problem with Brier score instead of accuracy. To achieve that, I am evaluating my classifiers with the results of predict_proba() like:
import numpy as...
AndreasInfo
Votes: 0
Answers: 1
When to use OneVsRestClassifier?
If the decision function of svm.SVC is by default "ovr", why would we use OneVsRestClassifier(svm.SVC(kernel="linear") instead of just svm.SVC(kernel="linear")?
Caterina
Votes: 0
Answers: 0
Tensorflow metrics confusion: accuracy and loss are high but confusion matrix indicates bad prediction
after years of reading, it is finally time form my first question:
Using tensorflow and keras in a jupyter notebook, I trained a VGG16 Model on 20k sound spectrograms (my own dataset) and a bit of dat...
Jelt0
Votes: 0
Answers: 2
Yamnet audio classification for feature extraction
I am currently working on audio classification task and using Yamnet which is a pretrained model from tfhub.. I am using it to extract embeddings from audios and then i use another simple classificati...
khaoula benali
Votes: 0
Answers: 1