Breaking the degeneracy in stellar spectral classification from single wide-band images

Open Access

Table E.1

Classification results for the SVM+PSF classifier.

Model	F1	Accuracy	Top-two accuracy
PCA+MLP	0.366	0.370	0.757
CNN+MLP	0.385	0.391	0.746

$SVM + {PSF}_{S_{1}}$ ${\rm{SVM}} + {\rm{PS}}{{\rm{F}}_{{{\cal S}_1}}}$	0.392	0.410	0.755
$SVM + {PSF}_{S_{2}}$ ${\rm{SVM}} + {\rm{PS}}{{\rm{F}}_{{{\cal S}_2}}}$	0.431	0.450	0.816
$SVM + {PSF}_{S_{3}}$ ${\rm{SVM}} + {\rm{PS}}{{\rm{F}}_{{{\cal S}_3}}}$	0.491	0.498	0.869
$SVM + {PSF}_{S_{4}}$ ${\rm{SVM}} + {\rm{PS}}{{\rm{F}}_{{{\cal S}_4}}}$	0.506	0.512	0.873
$SVM + {PSF}_{S_{5}}$ ${\rm{SVM}} + {\rm{PS}}{{\rm{F}}_{{{\cal S}_5}}}$	0.516	0.525	0.884
$SVM + {PSF}_{S_{6}}$ ${\rm{SVM}} + {\rm{PS}}{{\rm{F}}_{{{\cal S}_6}}}$	0.523	0.529	0.886
SVM+PSF_GT	0.546	0.549	0.910

Notes: Each row shows a different PSF model used for computing the similarity features. The pixel-only classification metrics correspond to the first two rows.

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