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  • Jesus and the Cross - Biblical Archaeology Society
    Explore how the cross transformed from a shameful Roman execution device into Christianity’s central symbol Discover early Christian attitudes, artistic developments, and Constantine’s pivotal role in redefining its meaning
  • The “Original” Bible and the Dead Sea Scrolls
    Explore how the Dead Sea Scrolls help scholars compare the Masoretic Text and the Septuagint in the search for the Bible's original language, as discussed by Emanuel Tov in Biblical Archaeology Review
  • Does modeling with Random Forests require cross-validation?
    Even Trevor Hastie, in a relatively recent talks says that "Random Forests provide free cross-validation" Intuitively, this makes sense to me, if training and trying to improve a RF-based model on one dataset Can someone please lay out the arguments for and against the need for cross-validation with random forests?
  • Nested-cross validation pipeline and confidence intervals
    Introduction Training a binary classifier on a small and imbalanced dataset (220 samples, 58 positives) poses some challenges in ensuring robust model evaluation and generalisation This response will address: Correctness of your nested CV pipeline Appropriateness of bootstrap confidence intervals for performance metrics Implications of feature selection within folds Additional
  • Roman Crucifixion Methods Reveal the History of Crucifixion
    Explore new archaeological and forensic evidence revealing Roman crucifixion methods, including analysis of a first-century crucified man's remains found in Jerusalem
  • Why is cross-validation score so low? - Data Science Stack Exchange
    In your random forest, this is due to the fact that your final model is overfitting Sklearn's GridSearchCV has a default argument refit = True, that takes the model with the best performance based on cross-validation and retrains it in the whole dataset Your accuracy score is very high due to the fact that it is only measured on your training data, and the best_score is a measure that
  • The End of an Era - Biblical Archaeology Society
    Cross’s reading of the inscriptions, when coupled with the pottery, bones, botany, and architecture, made the interpretation of this complex as a marketplace extremely compelling Near the “Counting House” lay an ostracon recording the sale of grain The verb in this inscription could be used of the payment in silver
  • Why does scikits cross-validation return a negative R^2 for my . . .
    Why does scikit's cross-validation return a negative R^2 for my strongly correlated data Ask Question Asked 1 year, 10 months ago Modified 1 year, 4 months ago
  • Ancient Crucifixion Images - Biblical Archaeology Society
    This second-century graffito of a Roman crucifixion from Puteoli, Italy, is one of a few ancient crucifixion images that offer a first-hand glimpse of Roman crucifixion methods and what Jesus’ crucifixion may have looked like to a bystander
  • machine learning - Cross validation Vs. Train Validate Test - Data . . .
    Meaning, in 5-fold cross validation we split the data into 5 and in each iteration the non-validation subset is used as the train subset and the validation is used as test set





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