What Is The Difference Between Bias And Variance?

1.	What Is The Difference Between Bias And Variance?
Answer» Bias:Bias can be DEFINED as a situation where an ERROR has occurred due to use of assumptions in the learning ALGORITHM. Variance: Variance is an error CAUSED because of the complexity of the algorithm that is been USED to analyze the data. Bias:Bias can be defined as a situation where an error has occurred due to use of assumptions in the learning algorithm. Variance: Variance is an error caused because of the complexity of the algorithm that is been used to analyze the data.

Answer»

Bias:Bias can be DEFINED as a situation where an ERROR has occurred due to use of assumptions in the learning ALGORITHM.

Variance: Variance is an error CAUSED because of the complexity of the algorithm that is been USED to analyze the data.

Bias:Bias can be defined as a situation where an error has occurred due to use of assumptions in the learning algorithm.

Variance: Variance is an error caused because of the complexity of the algorithm that is been used to analyze the data.

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