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Binary Classification Loss

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1. Binary Cross Entropy/Log Loss for Binary Classification

https://www.analyticsvidhya.com/blog/2021/03/binary-cross-entropy-log-loss-for-binary-classification/
Mar 3, 2021 ... What is Binary Cross Entropy Or Logs Loss? ... Binary cross entropy compares each of the predicted probabilities to actual class output which can ...

2. How to Choose Loss Functions When Training Deep Learning ...

https://machinelearningmastery.com/how-to-choose-loss-functions-when-training-deep-learning-neural-networks/
Jan 30, 2019 ... Cross-entropy is the default loss function to use for binary classification problems. It is intended for use with binary classification where ...

3. Understanding binary cross-entropy / log loss: a visual explanation ...

https://towardsdatascience.com/understanding-binary-cross-entropy-log-loss-a-visual-explanation-a3ac6025181a
Nov 21, 2018 ... Introduction. If you are training a binary classifier, chances are you are using binary cross-entropy / log loss as your loss function. Have you ...

4. Binary crossentropy loss function | Peltarion Platform

https://peltarion.com/knowledge-center/modeling-view/build-an-ai-model/loss-functions/binary-crossentropy
Binary crossentropy is a loss function that is used in binary classification tasks. These are tasks that answer a question with only two choices (yes or no, ...

5. deep learning - What loss function should I use for binary detection ...

https://stats.stackexchange.com/questions/186091/what-loss-function-should-i-use-for-binary-detection-in-face-non-face-detection
Dec 10, 2015 ... In your case you have a binary classification task, therefore your output layer can be the standard sigmoid (where the output represents the ...

6. 3.3. Metrics and scoring: quantifying the quality of predictions ...

http://scikit-learn.org/stable/modules/model_evaluation.html
Zero-one classification loss. And some work with binary and multilabel (but not multiclass) problems: average_precision_score (y_true, ...

7. A Tunable Loss Function for Binary Classification

https://arxiv.org/abs/1902.04639
Feb 12, 2019 ... We prove that \alpha-loss has an equivalent margin-based form and is classification-calibrated, two desirable properties for a good surrogate ...

8. Loss Functions — ML Glossary documentation

https://ml-cheatsheet.readthedocs.io/en/latest/loss_functions.html
Cross-entropy loss, or log loss, measures the performance of a classification model whose output is a probability value between 0 and 1. Cross-entropy loss ...

9. Universal Online Learning with Bounded Loss: Reduction to Binary ...

https://arxiv.org/abs/2112.14638
Dec 29, 2021 ... Indeed, we show that the nearest neighbor algorithm is transported by our construction. For binary classification on a process admitting strong ...

10. tf.keras.losses.BinaryCrossentropy | TensorFlow v2.10.0

https://www.tensorflow.org/api_docs/python/tf/keras/losses/BinaryCrossentropy
Computes the cross-entropy loss between true labels and predicted labels. ... Use this cross-entropy loss for binary (0 or 1) classification applications.

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