Table 3:
The Confusion Matrix for the Gaussian Mixture method, using 25variability classes and 12 classification attributes. 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. The
average correct classification rate is about 
.
| |
MIRA |
SR |
RVTAU |
CLCEP |
PTCEP |
DMCEP |
RRAB |
RRC |
RRD |
DSCUT |
LBOO |
BCEP |
SPB |
GDOR |
BE |
PVSG |
CP |
WR |
TTAU |
HAEBE |
LBV |
ELL |
EA |
EB |
EW |
| MIRA |
139 |
2 |
0 |
3 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
0 |
0 |
1 |
1 |
1 |
0 |
0 |
0 |
0 |
0 |
| SR |
2 |
19 |
0 |
2 |
0 |
0 |
2 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
1 |
2 |
2 |
0 |
0 |
0 |
1 |
0 |
| RVTAU |
1 |
0 |
13 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| CLCEP |
1 |
0 |
0 |
171 |
6 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| PTCEP |
1 |
2 |
0 |
14 |
17 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
| DMCEP |
0 |
0 |
0 |
0 |
0 |
92 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| RRAB |
0 |
1 |
0 |
1 |
1 |
0 |
118 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| RRC |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
27 |
0 |
5 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| RRD |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
56 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| DSCUT |
0 |
1 |
0 |
0 |
0 |
1 |
4 |
0 |
0 |
21 |
0 |
1 |
0 |
0 |
4 |
6 |
0 |
11 |
0 |
0 |
2 |
0 |
0 |
2 |
0 |
| LBOO |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
13 |
0 |
0 |
1 |
0 |
2 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| BCEP |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
24 |
0 |
26 |
0 |
0 |
5 |
1 |
0 |
3 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
| SPB |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
6 |
41 |
6 |
12 |
10 |
11 |
3 |
0 |
1 |
0 |
0 |
0 |
1 |
0 |
| GDOR |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
31 |
0 |
11 |
2 |
23 |
7 |
19 |
8 |
9 |
1 |
5 |
0 |
0 |
0 |
0 |
0 |
| BE |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
1 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
| PVSG |
0 |
6 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
1 |
0 |
0 |
11 |
18 |
1 |
13 |
1 |
3 |
3 |
0 |
0 |
0 |
0 |
| CP |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
46 |
0 |
11 |
1 |
5 |
6 |
5 |
42 |
4 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
| WR |
0 |
2 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
5 |
9 |
0 |
13 |
2 |
1 |
2 |
0 |
0 |
0 |
0 |
| TTAU |
0 |
1 |
0 |
1 |
0 |
0 |
2 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
0 |
1 |
8 |
0 |
0 |
0 |
0 |
0 |
0 |
| HAEBE |
0 |
4 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
3 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
2 |
5 |
0 |
0 |
0 |
0 |
0 |
| LBV |
0 |
3 |
0 |
2 |
0 |
1 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
2 |
0 |
0 |
0 |
0 |
13 |
0 |
0 |
3 |
0 |
| ELL |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
0 |
1 |
2 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
16 |
0 |
0 |
0 |
| EA |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
154 |
26 |
1 |
| EB |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
12 |
98 |
3 |
| EW |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
16 |
55 |
| TOT |
144 |
42 |
13 |
195 |
24 |
95 |
129 |
29 |
57 |
139 |
13 |
58 |
47 |
35 |
57 |
76 |
63 |
63 |
17 |
21 |
21 |
16 |
169 |
147 |
59 |
| CC(%) |
97 |
45 |
100 |
88 |
71 |
97 |
91 |
93 |
98 |
15 |
100 |
45 |
87 |
66 |
4 |
24 |
67 |
21 |
47 |
24 |
62 |
100 |
91 |
67 |
93 |
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