Tag model-selection - This is page 15 - GeneraCodice

Do models without parameters exist?

https://www.generacodice.com/en/articolo/1490779/do-models-without-parameters-exist
  parameter  -  training  -  model-selection
datascience.stackexchange datascience.stackexchange

Why exactly using a test set for model evaluation is a bad idea?

https://www.generacodice.com/en/articolo/1490709/why-exactly-using-a-test-set-for-model-evaluation-is-a-bad-idea
  evaluation  -  training  -  model-selection
datascience.stackexchange datascience.stackexchange

Why are RNN/LSTM preferred in time series analysis and not other NN?

https://www.generacodice.com/en/articolo/1490419/why-are-rnn-lstm-preferred-in-time-series-analysis-and-not-other-nn
  time-series  -  neural-network  -  predictive-modeling  -  rnn  -  model-selection
datascience.stackexchange datascience.stackexchange

Is Gini coefficient a good metric for measuring predictive model performance on highly imbalanced data

https://www.generacodice.com/en/articolo/1148517/is-gini-coefficient-a-good-metric-for-measuring-predictive-model-performance-on-highly-imbalanced-data
  evaluation  -  predictive-modeling  -  accuracy  -  model-selection  -  class-imbalance
datascience.stackexchange datascience.stackexchange

Variance in cross validation score / model selection

https://www.generacodice.com/en/articolo/1124296/variance-in-cross-validation-score-model-selection
  cross-validation  -  model-selection  -  xgboost  -  parameter-estimation
datascience.stackexchange datascience.stackexchange

Comparing SMOTE to down sampling the majority class in imbalanced binary classification

https://www.generacodice.com/en/articolo/1123551/comparing-smote-to-down-sampling-the-majority-class-in-imbalanced-binary-classification
  classification  -  unbalanced-classes  -  cross-validation  -  model-selection
datascience.stackexchange datascience.stackexchange

Is ROC and AUC the only criteria for choosing a model?

https://www.generacodice.com/en/articolo/1121686/is-roc-and-auc-the-only-criteria-for-choosing-a-model
  model-selection
datascience.stackexchange datascience.stackexchange

Nested cross-validation and selecting the best regression model - is this the right SKLearn process?

https://www.generacodice.com/en/articolo/1119995/nested-cross-validation-and-selecting-the-best-regression-model-is-this-the-right-sklearn-process
  python  -  scikit-learn  -  cross-validation  -  model-selection
datascience.stackexchange datascience.stackexchange

Any “rules of thumb” on number of features versus number of instances? (small data sets)

https://www.generacodice.com/en/articolo/1116279/any-rules-of-thumb-on-number-of-features-versus-number-of-instances-small-data-sets
  feature-selection  -  model-selection
datascience.stackexchange datascience.stackexchange

On coursera what exactly does Andrew Ng say in videos Lectures 60 & 61 of machine learning?

https://www.generacodice.com/en/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 datascience.stackexchange
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