indicates that the model predicts vs training residual versus

These two phrases are not directly comparable as they serve different purposes. The phrase 'indicates that the model predicts' is used to convey the outcome of a model's prediction, while 'training residual versus' seems incomplete and lacks context. It's important to provide more information or clarify the intended meaning to determine the correct usage.

Last updated: March 17, 2024 • 443 views

indicates that the model predicts

This phrase is correct and commonly used in the context of explaining the predictions made by a model.

This phrase is typically used to introduce or describe the predictions made by a model in a clear and concise manner.

Examples:

The analysis indicates that the model predicts a decrease in sales for the next quarter.
The data indicates that the model predicts a high probability of success.
The study indicates that the model predicts an increase in customer satisfaction.
The research indicates that the model predicts a shift in consumer behavior.
The results indicate that the model predicts a positive outcome.

Show examples from the web [+]

Oct 13, 2014 ... RESULTS: Visual inspection indicates that the model predicts outcomes well. The UKPDS-OM1 equations showed almost perfect concordance ...
Feb 11, 2015 ... A positive value index indicates that the model predicts that staying is more valuable than leaving; a negative value index indicates that the ...
Nov 21, 2011 ... for 2007–2009 (based on estimates for the 1970–2000 period) indicates that the model predicts well, with an AUC of 0.937. Using a p > 0.30 ...
also indicates that the model predicts correct return flow mass flux. For Test lc wavehour 7 (testcode #lc0706), the beach is accreted and the bar crest is higher.

training residual versus

This phrase seems incomplete and lacks clarity. It may not be a common or correct construction in English.

It is advisable to provide more context or complete the phrase to convey a clear meaning. For example, 'plotting training residuals versus predicted values' would be a more complete and understandable phrase.

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indicates that the model predicts vs training residual versus