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).
Class . | Metric . | |||||
---|---|---|---|---|---|---|
. | — E0070 — . | — E0086 — . | ||||
. | Precision . | Recall . | F1 score . | Precision . | Recall . | F1 score . |
Star | 0.80 | 0.84 | 0.82 | 0.80 | 0.81 | 0.81 |
Galaxy | 0.78 | 0.86 | 0.82 | 0.86 | 0.84 | 0.81 |
Bad | 0.87 | 0.72 | 0.79 | 0.76 | 0.77 | 0.80 |
Class . | Metric . | |||||
---|---|---|---|---|---|---|
. | — E0070 — . | — E0086 — . | ||||
. | Precision . | Recall . | F1 score . | Precision . | Recall . | F1 score . |
Star | 0.80 | 0.84 | 0.82 | 0.80 | 0.81 | 0.81 |
Galaxy | 0.78 | 0.86 | 0.82 | 0.86 | 0.84 | 0.81 |
Bad | 0.87 | 0.72 | 0.79 | 0.76 | 0.77 | 0.80 |
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).
Class . | Metric . | |||||
---|---|---|---|---|---|---|
. | — E0070 — . | — E0086 — . | ||||
. | Precision . | Recall . | F1 score . | Precision . | Recall . | F1 score . |
Star | 0.80 | 0.84 | 0.82 | 0.80 | 0.81 | 0.81 |
Galaxy | 0.78 | 0.86 | 0.82 | 0.86 | 0.84 | 0.81 |
Bad | 0.87 | 0.72 | 0.79 | 0.76 | 0.77 | 0.80 |
Class . | Metric . | |||||
---|---|---|---|---|---|---|
. | — E0070 — . | — E0086 — . | ||||
. | Precision . | Recall . | F1 score . | Precision . | Recall . | F1 score . |
Star | 0.80 | 0.84 | 0.82 | 0.80 | 0.81 | 0.81 |
Galaxy | 0.78 | 0.86 | 0.82 | 0.86 | 0.84 | 0.81 |
Bad | 0.87 | 0.72 | 0.79 | 0.76 | 0.77 | 0.80 |
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