Table 9:
The complete confusion matrix for the Bayesian model averaging of
artificial neural networks. The last but one line lists the total number of light
curves (TOT) to define every class. The last line lists the correct
classification rate (CC) for every class separately as measured by 10-fold cross
validation.
| |
MIRA |
SR |
RVTAU |
CLCEP |
PTCEP |
DMCEP |
RRAB |
RRC |
RRD |
DSCUT |
LBOO |
BCEP |
SPB |
GDOR |
BE |
PVSG |
CP |
WR |
TTAU |
HAEBE |
LBV |
ELL |
ECL |
SXPHE |
SDBV |
FUORI |
XB |
| MIRA |
126 |
5 |
3 |
2 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
0 |
0 |
2 |
0 |
0 |
0 |
0 |
0 |
0 |
| SR |
5 |
18 |
7 |
2 |
3 |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
0 |
0 |
7 |
4 |
1 |
3 |
6 |
2 |
6 |
0 |
0 |
0 |
0 |
1 |
1 |
| RVTAU |
3 |
2 |
0 |
1 |
1 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| CLCEP |
0 |
1 |
1 |
176 |
15 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
0 |
2 |
0 |
0 |
2 |
0 |
0 |
0 |
0 |
0 |
| PTCEP |
0 |
1 |
1 |
4 |
2 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| DMCEP |
0 |
0 |
0 |
0 |
1 |
86 |
6 |
0 |
0 |
2 |
0 |
0 |
1 |
0 |
0 |
2 |
1 |
2 |
2 |
0 |
1 |
2 |
2 |
1 |
0 |
0 |
0 |
| RRAB |
0 |
0 |
0 |
0 |
1 |
4 |
112 |
5 |
1 |
2 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| RRC |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
17 |
0 |
4 |
0 |
1 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
0 |
| RRD |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
54 |
1 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| DSCUT |
0 |
1 |
0 |
0 |
0 |
0 |
6 |
4 |
1 |
98 |
5 |
20 |
0 |
4 |
5 |
6 |
8 |
8 |
0 |
2 |
0 |
1 |
1 |
3 |
0 |
0 |
0 |
| LBOO |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
2 |
0 |
0 |
1 |
0 |
0 |
1 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| BCEP |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
8 |
0 |
23 |
1 |
1 |
0 |
1 |
1 |
1 |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
0 |
0 |
| SPB |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
4 |
29 |
3 |
4 |
3 |
10 |
0 |
1 |
1 |
0 |
2 |
0 |
0 |
0 |
0 |
1 |
| GDOR |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
0 |
0 |
2 |
16 |
9 |
3 |
0 |
4 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| BE |
0 |
2 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
1 |
2 |
7 |
1 |
2 |
0 |
2 |
3 |
0 |
1 |
0 |
0 |
0 |
2 |
| PVSG |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
0 |
1 |
2 |
0 |
16 |
19 |
2 |
15 |
1 |
5 |
5 |
0 |
0 |
0 |
0 |
0 |
4 |
| CP |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
2 |
4 |
6 |
4 |
7 |
11 |
28 |
3 |
0 |
1 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
| WR |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
3 |
0 |
0 |
5 |
1 |
12 |
0 |
22 |
1 |
0 |
0 |
0 |
0 |
1 |
0 |
1 |
1 |
| TTAU |
2 |
2 |
1 |
4 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
3 |
2 |
0 |
0 |
2 |
0 |
0 |
0 |
0 |
| HAEBE |
6 |
3 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
2 |
1 |
0 |
2 |
0 |
0 |
0 |
0 |
| LBV |
0 |
3 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
4 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
1 |
0 |
| ELL |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
1 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
0 |
6 |
1 |
0 |
0 |
0 |
0 |
| ECL |
2 |
2 |
0 |
6 |
0 |
0 |
4 |
2 |
1 |
6 |
0 |
3 |
1 |
0 |
3 |
2 |
5 |
1 |
0 |
2 |
1 |
0 |
365 |
0 |
3 |
0 |
0 |
| SXPHE |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
| SDBV |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
0 |
0 |
| FUORI |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| XB |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| TOT |
144 |
43 |
13 |
195 |
24 |
95 |
129 |
29 |
57 |
136 |
13 |
58 |
46 |
35 |
57 |
76 |
63 |
62 |
17 |
21 |
20 |
16 |
376 |
7 |
6 |
3 |
9 |
| CC(%) |
87.5 |
41.86 |
0 |
90.26 |
8.333 |
90.53 |
86.82 |
58.62 |
94.74 |
72.06 |
15.38 |
39.66 |
63.04 |
45.71 |
3.509 |
25 |
44.44 |
35.48 |
17.65 |
9.524 |
5 |
37.5 |
97.07 |
28.57 |
50 |
0 |
0 |
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