Tag metric - Dies ist Seite 8 - GeneraCodice

Balanced Accuracy vs. F1 Score

https://www.generacodice.com/de/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/de/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/de/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/de/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/de/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/de/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

Calculating Rank Ordering Error Metric for implicit recommendation

https://www.generacodice.com/de/articolo/2655450/calculating-rank-ordering-error-metric-for-implicit-recommendation
  evaluation  -  metric  -  recommender-system  -  apache-spark  -  pyspark
datascience.stackexchange datascience.stackexchange

F1_score(average='micro') is equal to calculating accuracy for multiclasification

https://www.generacodice.com/de/articolo/2655396/f1-score-average-micro-is-equal-to-calculating-accuracy-for-multiclasification
  python  -  metric  -  scikit-learn  -  accuracy  -  multiclass-classification
datascience.stackexchange datascience.stackexchange

How to interpret classification report of scikit-learn?

https://www.generacodice.com/de/articolo/2654683/how-to-interpret-classification-report-of-scikit-learn
  binary  -  metric  -  classification
datascience.stackexchange datascience.stackexchange

What is cohen kappa metric, implementation in Python?

https://www.generacodice.com/de/articolo/1848488/what-is-cohen-kappa-metric-implementation-in-python
  python  -  metric
datascience.stackexchange datascience.stackexchange
Gefundene Ergebnisse: 192
scroll top