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- Where Is Golgotha, Where Jesus Was Crucified?
Archaeological evidence regarding the location of Golgotha, where Jesus was crucified, suggests the Church of the Holy Sepulchre—or clues beneath the Church of the Redeemer—may point to the true site of Jesus’ crucifixion
- time series - What is and why use blocked cross-validation? - Data . . .
3 I was reading about cross validation equivalents for time series data and found a variation called blocked cross validation On the page I was reading it says the following: "However, this may introduce leakage from future data to the model The model will observe future patterns to forecast and try to memorize them
- The Exodus: Fact or Fiction? - Biblical Archaeology Society
Explore the archaeological and textual evidence behind the biblical Exodus Did it really happen—and if so, when? Discover insights from Egypt’s Ramesside Period
- machine learning - K fold cross validation reduces accuracy - Data . . .
K-fold cross-validation trains k different models, each being tested on the observations not used in the learning procedure , as you are not using the same model as in your reference case, neither the same test set The approaches that you describe are different, although I would not recommend the cross-validation only
- Was Jesus’ Last Supper a Seder? - Biblical Archaeology Society
Explore whether Jesus' Last Supper was a Passover Seder While the Gospels suggest it, scholars argue the modern Seder was developed later
- machine learning - Nan result for one leave out cross validation - Data . . .
Nan result for one leave out cross validation Ask Question Asked 1 year, 2 months ago Modified 1 year, 2 months ago
- How December 25 Became Christmas - Biblical Archaeology Society
Discover how December 25 became the date for Christmas Explore the biblical silence, early Christian debates, pagan influences, and the theological link between Jesus’ birth and death that shaped this enduring holiday
- neural network - Sparse_categorical_crossentropy vs categorical . . .
Which is better for accuracy or are they the same? Of course, if you use categorical_crossentropy you use one hot encoding, and if you use sparse_categorical_crossentropy you encode as normal integ
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