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Tag metric - This is page 12 - GeneraCodice
Sanity check: low PPV but high AUC scores?
https://www.generacodice.com/en/articolo/1546270/sanity-check-low-ppv-but-high-auc-scores
metric
-
accuracy
datascience.stackexchange
It seems that the output of sklearn.metrics.pairwise.euclidean_distances is different to the formula on doc
https://www.generacodice.com/en/articolo/1545984/it-seems-that-the-output-of-sklearn-metrics-pairwise-euclidean-distances-is-different-to-the-formula-on-doc
machine-learning
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metric
-
distance
datascience.stackexchange
Ball Tree and Pseudometrics
https://www.generacodice.com/en/articolo/1545281/ball-tree-and-pseudometrics
metric
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scikit-learn
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k-nn
datascience.stackexchange
Appropriate model metric for a truncated response variable?
https://www.generacodice.com/en/articolo/1544960/appropriate-model-metric-for-a-truncated-response-variable
machine-learning
-
regression
-
metric
-
predictive-modeling
datascience.stackexchange
Interpretability of RMSE and R squared scores on cross validation
https://www.generacodice.com/en/articolo/1543581/interpretability-of-rmse-and-r-squared-scores-on-cross-validation
regression
-
metric
-
cross-validation
-
xgboost
-
overfitting
datascience.stackexchange
How is the “loss” calculated which is supplied by the callback log in Keras?
https://www.generacodice.com/en/articolo/1540588/how-is-the-loss-calculated-which-is-supplied-by-the-callback-log-in-keras
metric
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deep-learning
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loss-function
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keras
datascience.stackexchange
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
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
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
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
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classification
-
scikit-learn
datascience.stackexchange
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