Table 2.

Precision of random forest classifiers trained and optimized as described in the text for the two adjacent POSSI fields. The F1 score is a weighted mean of precision and recall (Fawcett 2006).

ClassMetric
— E0070 —— E0086 —
PrecisionRecallF1 scorePrecisionRecallF1 score
Star0.800.840.820.800.810.81
Galaxy0.780.860.820.860.840.81
Bad0.870.720.790.760.770.80
ClassMetric
— E0070 —— E0086 —
PrecisionRecallF1 scorePrecisionRecallF1 score
Star0.800.840.820.800.810.81
Galaxy0.780.860.820.860.840.81
Bad0.870.720.790.760.770.80
Table 2.

Precision of random forest classifiers trained and optimized as described in the text for the two adjacent POSSI fields. The F1 score is a weighted mean of precision and recall (Fawcett 2006).

ClassMetric
— E0070 —— E0086 —
PrecisionRecallF1 scorePrecisionRecallF1 score
Star0.800.840.820.800.810.81
Galaxy0.780.860.820.860.840.81
Bad0.870.720.790.760.770.80
ClassMetric
— E0070 —— E0086 —
PrecisionRecallF1 scorePrecisionRecallF1 score
Star0.800.840.820.800.810.81
Galaxy0.780.860.820.860.840.81
Bad0.870.720.790.760.770.80
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