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I'm hoping someone can help me think through this. I've come across a lot of different resources on nested-cv, but I think I'm confused as to how to go about model selection and the appropriate More @Wikipedia
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- Where Is Golgotha, Where Jesus Was Crucified?The Cross is a hammenek (He-Mem-Vav-Nun-Kaf), it is “a necklace or ornament ” of faith to the believer, but a chain of bondage to the unbeliever. The word Azal indeed holds a pil’ly or “wonderful secret”, for it is the combination of the Hebrew letter Alef (א), and the word for “shade” in Hebrew, being “Zal” or “Tsal” (צל).
- Ancient Crucifixion Images - Biblical Archaeology SocietyThe cross is the ultimate symbol for the crucifixion of Christ. I give out pennies with the cross punched in them and tell people whether you are an atheist, Muslim, Moonie, etc. you still know what that symbol means. So Christ did not die on a tree, pole, a ‘T’, but on a cross so that symbol would withstand the test of time.
- Jesus and the Cross - Biblical Archaeology SocietyThe cross remains as you said, as a symbol of the degradation and suffering that Jesus submitted his body as a sacrifice for the sins of humanity. The cross with or without the body of Christ, is a symbol of Jesus sacrificed, and of Christ resurrected, becoming Jesus Christ
- What is the difference between bootstrapping and cross-validation?Cross validation is a procedure for validating a model's performance, and it is done by splitting the training data into k parts. We assume that the k-1 parts is the training set and use the other part is our test set.
- What is the difference between cross_validate and cross_val_score?Note: When the cv argument is an integer, cross_val_score uses the KFold or StratifiedKFold strategies by default, the latter being used if the estimator derives from ClassifierMixin. You can go through this link for better understanding. Different examples using cross_val_score, you can go through about its different implementations.
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