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Hey so I still can not understand the difference between training and testing models and what does testing models even do? So please can any one tell me. Thanks |
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Training Model - It means that the model sees a lot of data and analyses the common features for identification which it uses to analyse a object which it didn't saw. Testing Model - After the model is trained, we test it to see weather the model is accurate enough to identify data it didn't saw. |
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Training Model - It means that the model sees a lot of data and analyses the common features for identification which it uses to analyse a object which it didn't saw.
Testing Model - After the model is trained, we test it to see weather the model is accurate enough to identify data it didn't saw.