Question

Classification accuracy & predictive accuracy​

Answer 1

Answer:

Accuracy is one metric for evaluating classification models. Informally, accuracy is the fraction of predictions our model got right. Formally, accuracy has the following definition:

Answer 2

Step-by-step explanation:

Classification accuracy : Classification Accuracy is what we usually mean, when we use the term accuracy. It is the ratio of number of correct predictions to the total number of input samples. 

Predictive accuracy : The predictive accuracy A describes whether the predicted values match the actual values of the target field within the incertitude due to statistical fluctuations and noise in the input data values.

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