Table 2.
Open in new tab

Classification performance of each input for the PLAsTiCC dataset.

Input*AUCAccuracy
MmfROCPre.-rec.
|$\checkmark$||$\checkmark$|0.9960.9950.953
|$\checkmark$|0.9950.9930.952
|$\checkmark$||$\checkmark$|0.9950.9930.948
|$\checkmark$|0.9950.9910.940
Input*AUCAccuracy
MmfROCPre.-rec.
|$\checkmark$||$\checkmark$|0.9960.9950.953
|$\checkmark$|0.9950.9930.952
|$\checkmark$||$\checkmark$|0.9950.9930.948
|$\checkmark$|0.9950.9910.940
*

Input to classifier is displayed as a check mark. M: pseudo-absolute magnitude; m: magnitude; f: normalized flux.

Table 2.
Open in new tab

Classification performance of each input for the PLAsTiCC dataset.

Input*AUCAccuracy
MmfROCPre.-rec.
|$\checkmark$||$\checkmark$|0.9960.9950.953
|$\checkmark$|0.9950.9930.952
|$\checkmark$||$\checkmark$|0.9950.9930.948
|$\checkmark$|0.9950.9910.940
Input*AUCAccuracy
MmfROCPre.-rec.
|$\checkmark$||$\checkmark$|0.9960.9950.953
|$\checkmark$|0.9950.9930.952
|$\checkmark$||$\checkmark$|0.9950.9930.948
|$\checkmark$|0.9950.9910.940
*

Input to classifier is displayed as a check mark. M: pseudo-absolute magnitude; m: magnitude; f: normalized flux.

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