Variance is closely related to overfitting. High variance is usually caused by training a powerful model but with limited data, in other words, training with different sets of data would result in a different model.
Bias is closely related to underfitting. High bias is often caused by using a less powerful model.
 
                    
                 
 
                
            
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浙公网安备 33010602011771号