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Is it vital to use weighted metrics with weighted loss functions?

https://www.generacodice.com/it/articolo/2686764/is-it-vital-to-use-weighted-metrics-with-weighted-loss-functions
  python  -  metric  -  loss
datascience.stackexchange datascience.stackexchange

How to select 'cutoff' of classifier probability

https://www.generacodice.com/it/articolo/2682157/how-to-select-cutoff-of-classifier-probability
  metric  -  classification
datascience.stackexchange datascience.stackexchange

Confusion between precision and recall

https://www.generacodice.com/it/articolo/2682123/confusion-between-precision-and-recall
  metric  -  classification  -  multiclass-classification
datascience.stackexchange datascience.stackexchange

What is the purpose of a confusion matrix in a classification problem?

https://www.generacodice.com/it/articolo/2673331/what-is-the-purpose-of-a-confusion-matrix-in-a-classification-problem
  metric  -  classification  -  confusion-matrix  -  cross-validation  -  grid-search
datascience.stackexchange datascience.stackexchange

Balanced Accuracy vs. F1 Score

https://www.generacodice.com/it/articolo/2672675/balanced-accuracy-vs-f1-score
  metric  -  classification  -  accuracy  -  f1score
datascience.stackexchange datascience.stackexchange

Neural Networks to Output Metrics other than Prediction

https://www.generacodice.com/it/articolo/2672313/neural-networks-to-output-metrics-other-than-prediction
  machine-learning  -  metric  -  neural-network  -  deep-learning  -  keras
datascience.stackexchange datascience.stackexchange

Is it correct to define the F-measure as the harmonic mean of specificity and sensitivity in such a way?

https://www.generacodice.com/it/articolo/2664074/is-it-correct-to-define-the-f-measure-as-the-harmonic-mean-of-specificity-and-sensitivity-in-such-a-way
  evaluation  -  metric  -  definitions
datascience.stackexchange datascience.stackexchange

Recall score for each sample in multilabel classification

https://www.generacodice.com/it/articolo/2662937/recall-score-for-each-sample-in-multilabel-classification
  metric  -  classification  -  multilabel-classification
datascience.stackexchange datascience.stackexchange

what metrics to evaluate rank order results?

https://www.generacodice.com/it/articolo/2661550/what-metrics-to-evaluate-rank-order-results
  performance  -  evaluation  -  metric  -  ranking  -  prediction
datascience.stackexchange datascience.stackexchange

What's a good F1-score in (not) extremely imbalanced dataset?

https://www.generacodice.com/it/articolo/2656579/what-s-a-good-f1-score-in-not-extremely-imbalanced-dataset
  machine-learning  -  metric  -  data-mining  -  deep-learning  -  feature-selection
datascience.stackexchange datascience.stackexchange
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