A machine learning model gets an accuracy of 90% on a dataset with 90% positive class and 10% negative class. Can we conclude that the model is a
good classifier of the data?
[Math] Machine learning model accuracy
machine learning
machine learning
A machine learning model gets an accuracy of 90% on a dataset with 90% positive class and 10% negative class. Can we conclude that the model is a
good classifier of the data?
Best Answer
If it is an classification problem to choose whether the sample is in the positive class or not, the classifier of accuracy 90% is not quite good. Consider the trivial classifier, declaring any sample to be positive, which provides 90% accuracy.
I think that imbalanced dataset is the appropriate keyword.