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태그 cross-validation - 이것은 페이지 55 페이지입니다 - GeneraCodice
Cross validation when training neural network?
https://www.generacodice.com/ko/articolo/1115712/cross-validation-when-training-neural-network
neural-network
-
cross-validation
-
training
datascience.stackexchange
Sklearn: How to adjust data set proportion during training, but not testing
https://www.generacodice.com/ko/articolo/1114921/sklearn-how-to-adjust-data-set-proportion-during-training-but-not-testing
scikit-learn
-
pandas
-
cross-validation
datascience.stackexchange
On coursera what exactly does Andrew Ng say in videos Lectures 60 & 61 of machine learning?
https://www.generacodice.com/ko/articolo/1113592/on-coursera-what-exactly-does-andrew-ng-say-in-videos-lectures-60-61-of-machine-learning
machine-learning
-
cross-validation
-
model-selection
datascience.stackexchange
Assessing significance / confidence of a crossvalidated performance measure
https://www.generacodice.com/ko/articolo/1113537/assessing-significance-confidence-of-a-crossvalidated-performance-measure
statistics
-
evaluation
-
cross-validation
datascience.stackexchange
Overfitting/Underfitting with Data set size
https://www.generacodice.com/ko/articolo/1113081/overfitting-underfitting-with-data-set-size
machine-learning
-
cross-validation
datascience.stackexchange
When do I have to use aucPR instead of auROC? (and vice versa)
https://www.generacodice.com/ko/articolo/1111234/when-do-i-have-to-use-aucpr-instead-of-auroc-and-vice-versa
evaluation
-
machine-learning
-
data-mining
-
cross-validation
datascience.stackexchange
How to test/validate unlabeled data in association rules in R?
https://www.generacodice.com/ko/articolo/1104244/how-to-test-validate-unlabeled-data-in-association-rules-in-r
machine-learning
-
r
-
cross-validation
datascience.stackexchange
how to impute missing values on numpy array created by train_test_split from pandas.DataFrame?
https://www.generacodice.com/ko/articolo/1092990/how-to-impute-missing-values-on-numpy-array-created-by-train-test-split-from-pandas-dataframe
scikit-learn
-
pandas
-
cross-validation
datascience.stackexchange
Avoid iterations while calculating average model accuracy
https://www.generacodice.com/ko/articolo/1092974/avoid-iterations-while-calculating-average-model-accuracy
r
-
sampling
-
accuracy
-
beginner
-
cross-validation
datascience.stackexchange
Which cross-validation type best suits to binary classification problem
https://www.generacodice.com/ko/articolo/1092967/which-cross-validation-type-best-suits-to-binary-classification-problem
classification
-
cross-validation
datascience.stackexchange
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결과가 발견되었습니다: 562