Tag metric - This is page 14 - GeneraCodice

How is computed the train data set score and why?

https://www.generacodice.com/en/articolo/1537141/how-is-computed-the-train-data-set-score-and-why
  machine-learning  -  metric
datascience.stackexchange datascience.stackexchange

How to interpret metrics of a model after scaling the data

https://www.generacodice.com/en/articolo/1534935/how-to-interpret-metrics-of-a-model-after-scaling-the-data
  python  -  machine-learning  -  metric  -  scikit-learn
datascience.stackexchange datascience.stackexchange

Can macro F1 score be greater than micro F1 score?

https://www.generacodice.com/en/articolo/1528745/can-macro-f1-score-be-greater-than-micro-f1-score
  evaluation  -  information-retrieval  -  metric
datascience.stackexchange datascience.stackexchange

What's the difference between Sklearn F1 score 'micro' and 'weighted' for a multi class classification problem?

https://www.generacodice.com/en/articolo/1520199/what-s-the-difference-between-sklearn-f1-score-micro-and-weighted-for-a-multi-class-classification-problem
  metric  -  classification  -  scikit-learn
datascience.stackexchange datascience.stackexchange

What's the best metric for evaluate an estimator for a multi class problem with class imbalance dataset?

https://www.generacodice.com/en/articolo/1515090/what-s-the-best-metric-for-evaluate-an-estimator-for-a-multi-class-problem-with-class-imbalance-dataset
  machine-learning  -  metric  -  deep-learning
datascience.stackexchange datascience.stackexchange

Does recall has different interpretation when comes to classification and information retrieval

https://www.generacodice.com/en/articolo/1505627/does-recall-has-different-interpretation-when-comes-to-classification-and-information-retrieval
  python  -  information-retrieval  -  metric  -  classification
datascience.stackexchange datascience.stackexchange

F - measure derivation (harmonic mean of precision and recall)

https://www.generacodice.com/en/articolo/1503191/f-measure-derivation-harmonic-mean-of-precision-and-recall
  machine-learning  -  metric  -  clustering  -  clusters
datascience.stackexchange datascience.stackexchange

Linear Regression - Metrics to consider?

https://www.generacodice.com/en/articolo/1501685/linear-regression-metrics-to-consider
  regression  -  metric  -  linear-regression
datascience.stackexchange datascience.stackexchange

Significant overfitting with CV

https://www.generacodice.com/en/articolo/1501010/significant-overfitting-with-cv
  binary  -  metric  -  classification  -  unbalanced-classes  -  overfitting
datascience.stackexchange datascience.stackexchange

Area Under Curve with probability

https://www.generacodice.com/en/articolo/1499771/area-under-curve-with-probability
  python  -  metric
datascience.stackexchange datascience.stackexchange
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