Boost recall in quasi-stellar object selection from highly imbalanced photometric datasets - The reverse selection method

Open Access

Table 1

Representation of a confusion matrix for a two-class (P vs. N) problem.

		Predicted class
		pP	pN
True	P	TP (true positives)	FN (false negative)
Class	N	FP (false positive)	TN (true negative)

Notes. The rows represent the sources whose actual class is P or N. The columns represent the Predicted Positive (pP) and Predicted Negative (pN) sources respectively.

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