-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathget_precision_recall_spw200_top10.sh
89 lines (82 loc) · 21 KB
/
get_precision_recall_spw200_top10.sh
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
#TOP 20
# Spectral Window 1-200
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t01/Schilke_OrionSurvey.1-200.model_hot_cores_full_500it.output 10 24,34,65,17,66,37,75,46,56,22,58,21,0,16,6,55,60 >> results.p-r.Schilke_OrionSurvey.1-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t02/Schilke_OrionSurvey.1-200.model_hot_cores_full_500it.output 10 24,34,65,17,66,37,75,46,56,22,58,21,0,16,6,55,60 >> results.p-r.Schilke_OrionSurvey.1-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t03/Schilke_OrionSurvey.1-200.model_hot_cores_full_500it.output 10 24,34,65,17,66,37,75,46,56,22,58,21,0,16,6,55,60 >> results.p-r.Schilke_OrionSurvey.1-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t04/Schilke_OrionSurvey.1-200.model_hot_cores_full_500it.output 10 24,34,65,17,66,37,75,46,56,22,58,21,0,16,6,55,60 >> results.p-r.Schilke_OrionSurvey.1-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t05/Schilke_OrionSurvey.1-200.model_hot_cores_full_500it.output 10 24,34,65,17,66,37,75,46,56,22,58,21,0,16,6,55,60 >> results.p-r.Schilke_OrionSurvey.1-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t06/Schilke_OrionSurvey.1-200.model_hot_cores_full_500it.output 10 24,34,65,17,66,37,75,46,56,22,58,21,0,16,6,55,60 >> results.p-r.Schilke_OrionSurvey.1-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t07/Schilke_OrionSurvey.1-200.model_hot_cores_full_500it.output 10 24,34,65,17,66,37,75,46,56,22,58,21,0,16,6,55,60 >> results.p-r.Schilke_OrionSurvey.1-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t08/Schilke_OrionSurvey.1-200.model_hot_cores_full_500it.output 10 24,34,65,17,66,37,75,46,56,22,58,21,0,16,6,55,60 >> results.p-r.Schilke_OrionSurvey.1-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t09/Schilke_OrionSurvey.1-200.model_hot_cores_full_500it.output 10 24,34,65,17,66,37,75,46,56,22,58,21,0,16,6,55,60 >> results.p-r.Schilke_OrionSurvey.1-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t10/Schilke_OrionSurvey.1-200.model_hot_cores_full_500it.output 10 24,34,65,17,66,37,75,46,56,22,58,21,0,16,6,55,60 >> results.p-r.Schilke_OrionSurvey.1-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t01/Schilke_OrionSurvey.2-200.model_hot_cores_full_500it.output 10 66,50,17,34,16,6,46,76,12,21,70,37,55,56,22,0,75,65 >> results.p-r.Schilke_OrionSurvey.2-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t02/Schilke_OrionSurvey.2-200.model_hot_cores_full_500it.output 10 66,50,17,34,16,6,46,76,12,21,70,37,55,56,22,0,75,65 >> results.p-r.Schilke_OrionSurvey.2-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t03/Schilke_OrionSurvey.2-200.model_hot_cores_full_500it.output 10 66,50,17,34,16,6,46,76,12,21,70,37,55,56,22,0,75,65 >> results.p-r.Schilke_OrionSurvey.2-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t04/Schilke_OrionSurvey.2-200.model_hot_cores_full_500it.output 10 66,50,17,34,16,6,46,76,12,21,70,37,55,56,22,0,75,65 >> results.p-r.Schilke_OrionSurvey.2-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t05/Schilke_OrionSurvey.2-200.model_hot_cores_full_500it.output 10 66,50,17,34,16,6,46,76,12,21,70,37,55,56,22,0,75,65 >> results.p-r.Schilke_OrionSurvey.2-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t06/Schilke_OrionSurvey.2-200.model_hot_cores_full_500it.output 10 66,50,17,34,16,6,46,76,12,21,70,37,55,56,22,0,75,65 >> results.p-r.Schilke_OrionSurvey.2-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t07/Schilke_OrionSurvey.2-200.model_hot_cores_full_500it.output 10 66,50,17,34,16,6,46,76,12,21,70,37,55,56,22,0,75,65 >> results.p-r.Schilke_OrionSurvey.2-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t08/Schilke_OrionSurvey.2-200.model_hot_cores_full_500it.output 10 66,50,17,34,16,6,46,76,12,21,70,37,55,56,22,0,75,65 >> results.p-r.Schilke_OrionSurvey.2-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t09/Schilke_OrionSurvey.2-200.model_hot_cores_full_500it.output 10 66,50,17,34,16,6,46,76,12,21,70,37,55,56,22,0,75,65 >> results.p-r.Schilke_OrionSurvey.2-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t10/Schilke_OrionSurvey.2-200.model_hot_cores_full_500it.output 10 66,50,17,34,16,6,46,76,12,21,70,37,55,56,22,0,75,65 >> results.p-r.Schilke_OrionSurvey.2-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t01/Schilke_OrionSurvey.3-200.model_hot_cores_full_500it.output 10 17,16,6,34,46,66,76,12,0,55,35,70,37,65,56,22 >> results.p-r.Schilke_OrionSurvey.3-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t02/Schilke_OrionSurvey.3-200.model_hot_cores_full_500it.output 10 17,16,6,34,46,66,76,12,0,55,35,70,37,65,56,22 >> results.p-r.Schilke_OrionSurvey.3-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t03/Schilke_OrionSurvey.3-200.model_hot_cores_full_500it.output 10 17,16,6,34,46,66,76,12,0,55,35,70,37,65,56,22 >> results.p-r.Schilke_OrionSurvey.3-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t04/Schilke_OrionSurvey.3-200.model_hot_cores_full_500it.output 10 17,16,6,34,46,66,76,12,0,55,35,70,37,65,56,22 >> results.p-r.Schilke_OrionSurvey.3-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t05/Schilke_OrionSurvey.3-200.model_hot_cores_full_500it.output 10 17,16,6,34,46,66,76,12,0,55,35,70,37,65,56,22 >> results.p-r.Schilke_OrionSurvey.3-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t06/Schilke_OrionSurvey.3-200.model_hot_cores_full_500it.output 10 17,16,6,34,46,66,76,12,0,55,35,70,37,65,56,22 >> results.p-r.Schilke_OrionSurvey.3-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t07/Schilke_OrionSurvey.3-200.model_hot_cores_full_500it.output 10 17,16,6,34,46,66,76,12,0,55,35,70,37,65,56,22 >> results.p-r.Schilke_OrionSurvey.3-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t08/Schilke_OrionSurvey.3-200.model_hot_cores_full_500it.output 10 17,16,6,34,46,66,76,12,0,55,35,70,37,65,56,22 >> results.p-r.Schilke_OrionSurvey.3-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t09/Schilke_OrionSurvey.3-200.model_hot_cores_full_500it.output 10 17,16,6,34,46,66,76,12,0,55,35,70,37,65,56,22 >> results.p-r.Schilke_OrionSurvey.3-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t10/Schilke_OrionSurvey.3-200.model_hot_cores_full_500it.output 10 17,16,6,34,46,66,76,12,0,55,35,70,37,65,56,22 >> results.p-r.Schilke_OrionSurvey.3-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t01/Schilke_OrionSurvey.4-200.model_hot_cores_full_500it.output 10 66,34,46,16,6,70,35,21,17,65,53,56,22,60,55,0,20,68,37 >> results.p-r.Schilke_OrionSurvey.4-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t02/Schilke_OrionSurvey.4-200.model_hot_cores_full_500it.output 10 66,34,46,16,6,70,35,21,17,65,53,56,22,60,55,0,20,68,37 >> results.p-r.Schilke_OrionSurvey.4-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t03/Schilke_OrionSurvey.4-200.model_hot_cores_full_500it.output 10 66,34,46,16,6,70,35,21,17,65,53,56,22,60,55,0,20,68,37 >> results.p-r.Schilke_OrionSurvey.4-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t04/Schilke_OrionSurvey.4-200.model_hot_cores_full_500it.output 10 66,34,46,16,6,70,35,21,17,65,53,56,22,60,55,0,20,68,37 >> results.p-r.Schilke_OrionSurvey.4-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t05/Schilke_OrionSurvey.4-200.model_hot_cores_full_500it.output 10 66,34,46,16,6,70,35,21,17,65,53,56,22,60,55,0,20,68,37 >> results.p-r.Schilke_OrionSurvey.4-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t06/Schilke_OrionSurvey.4-200.model_hot_cores_full_500it.output 10 66,34,46,16,6,70,35,21,17,65,53,56,22,60,55,0,20,68,37 >> results.p-r.Schilke_OrionSurvey.4-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t07/Schilke_OrionSurvey.4-200.model_hot_cores_full_500it.output 10 66,34,46,16,6,70,35,21,17,65,53,56,22,60,55,0,20,68,37 >> results.p-r.Schilke_OrionSurvey.4-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t08/Schilke_OrionSurvey.4-200.model_hot_cores_full_500it.output 10 66,34,46,16,6,70,35,21,17,65,53,56,22,60,55,0,20,68,37 >> results.p-r.Schilke_OrionSurvey.4-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t09/Schilke_OrionSurvey.4-200.model_hot_cores_full_500it.output 10 66,34,46,16,6,70,35,21,17,65,53,56,22,60,55,0,20,68,37 >> results.p-r.Schilke_OrionSurvey.4-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t10/Schilke_OrionSurvey.4-200.model_hot_cores_full_500it.output 10 66,34,46,16,6,70,35,21,17,65,53,56,22,60,55,0,20,68,37 >> results.p-r.Schilke_OrionSurvey.4-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t01/Schilke_OrionSurvey.5-200.model_hot_cores_full_500it.output 10 66,46,21,34,16,6,17,68,76,12,55,70,56,22 >> results.p-r.Schilke_OrionSurvey.5-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t02/Schilke_OrionSurvey.5-200.model_hot_cores_full_500it.output 10 66,46,21,34,16,6,17,68,76,12,55,70,56,22 >> results.p-r.Schilke_OrionSurvey.5-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t03/Schilke_OrionSurvey.5-200.model_hot_cores_full_500it.output 10 66,46,21,34,16,6,17,68,76,12,55,70,56,22 >> results.p-r.Schilke_OrionSurvey.5-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t04/Schilke_OrionSurvey.5-200.model_hot_cores_full_500it.output 10 66,46,21,34,16,6,17,68,76,12,55,70,56,22 >> results.p-r.Schilke_OrionSurvey.5-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t05/Schilke_OrionSurvey.5-200.model_hot_cores_full_500it.output 10 66,46,21,34,16,6,17,68,76,12,55,70,56,22 >> results.p-r.Schilke_OrionSurvey.5-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t06/Schilke_OrionSurvey.5-200.model_hot_cores_full_500it.output 10 66,46,21,34,16,6,17,68,76,12,55,70,56,22 >> results.p-r.Schilke_OrionSurvey.5-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t07/Schilke_OrionSurvey.5-200.model_hot_cores_full_500it.output 10 66,46,21,34,16,6,17,68,76,12,55,70,56,22 >> results.p-r.Schilke_OrionSurvey.5-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t08/Schilke_OrionSurvey.5-200.model_hot_cores_full_500it.output 10 66,46,21,34,16,6,17,68,76,12,55,70,56,22 >> results.p-r.Schilke_OrionSurvey.5-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t09/Schilke_OrionSurvey.5-200.model_hot_cores_full_500it.output 10 66,46,21,34,16,6,17,68,76,12,55,70,56,22 >> results.p-r.Schilke_OrionSurvey.5-200.top10.hot_cores_full.csv
python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t10/Schilke_OrionSurvey.5-200.model_hot_cores_full_500it.output 10 66,46,21,34,16,6,17,68,76,12,55,70,56,22 >> results.p-r.Schilke_OrionSurvey.5-200.top10.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t01/Schilke_OrionSurvey.6-200.model_hot_cores_full_500it.output 10 34,46,65,16,6,37,0,17,66,52,70,55,76,12,21,60,68,20,56,22,24 >> results.p-r.Schilke_OrionSurvey.6-200.top10.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t02/Schilke_OrionSurvey.6-200.model_hot_cores_full_500it.output 10 34,46,65,16,6,37,0,17,66,52,70,55,76,12,21,60,68,20,56,22,24 >> results.p-r.Schilke_OrionSurvey.6-200.top10.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t03/Schilke_OrionSurvey.6-200.model_hot_cores_full_500it.output 10 34,46,65,16,6,37,0,17,66,52,70,55,76,12,21,60,68,20,56,22,24 >> results.p-r.Schilke_OrionSurvey.6-200.top10.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t04/Schilke_OrionSurvey.6-200.model_hot_cores_full_500it.output 10 34,46,65,16,6,37,0,17,66,52,70,55,76,12,21,60,68,20,56,22,24 >> results.p-r.Schilke_OrionSurvey.6-200.top10.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t05/Schilke_OrionSurvey.6-200.model_hot_cores_full_500it.output 10 34,46,65,16,6,37,0,17,66,52,70,55,76,12,21,60,68,20,56,22,24 >> results.p-r.Schilke_OrionSurvey.6-200.top10.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t06/Schilke_OrionSurvey.6-200.model_hot_cores_full_500it.output 10 34,46,65,16,6,37,0,17,66,52,70,55,76,12,21,60,68,20,56,22,24 >> results.p-r.Schilke_OrionSurvey.6-200.top10.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t07/Schilke_OrionSurvey.6-200.model_hot_cores_full_500it.output 10 34,46,65,16,6,37,0,17,66,52,70,55,76,12,21,60,68,20,56,22,24 >> results.p-r.Schilke_OrionSurvey.6-200.top10.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t08/Schilke_OrionSurvey.6-200.model_hot_cores_full_500it.output 10 34,46,65,16,6,37,0,17,66,52,70,55,76,12,21,60,68,20,56,22,24 >> results.p-r.Schilke_OrionSurvey.6-200.top10.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t09/Schilke_OrionSurvey.6-200.model_hot_cores_full_500it.output 10 34,46,65,16,6,37,0,17,66,52,70,55,76,12,21,60,68,20,56,22,24 >> results.p-r.Schilke_OrionSurvey.6-200.top10.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t10/Schilke_OrionSurvey.6-200.model_hot_cores_full_500it.output 10 34,46,65,16,6,37,0,17,66,52,70,55,76,12,21,60,68,20,56,22,24 >> results.p-r.Schilke_OrionSurvey.6-200.top10.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t01/Schilke_OrionSurvey.7-200.model_hot_cores_full_500it.output 10 46,16,6,66,34,75,37,58,17,55,0,35,21,60,24,48,56,22 >> results.p-r.Schilke_OrionSurvey.7-200.top10.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t02/Schilke_OrionSurvey.7-200.model_hot_cores_full_500it.output 10 46,16,6,66,34,75,37,58,17,55,0,35,21,60,24,48,56,22 >> results.p-r.Schilke_OrionSurvey.7-200.top10.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t03/Schilke_OrionSurvey.7-200.model_hot_cores_full_500it.output 10 46,16,6,66,34,75,37,58,17,55,0,35,21,60,24,48,56,22 >> results.p-r.Schilke_OrionSurvey.7-200.top10.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t04/Schilke_OrionSurvey.7-200.model_hot_cores_full_500it.output 10 46,16,6,66,34,75,37,58,17,55,0,35,21,60,24,48,56,22 >> results.p-r.Schilke_OrionSurvey.7-200.top10.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t05/Schilke_OrionSurvey.7-200.model_hot_cores_full_500it.output 10 46,16,6,66,34,75,37,58,17,55,0,35,21,60,24,48,56,22 >> results.p-r.Schilke_OrionSurvey.7-200.top10.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t06/Schilke_OrionSurvey.7-200.model_hot_cores_full_500it.output 10 46,16,6,66,34,75,37,58,17,55,0,35,21,60,24,48,56,22 >> results.p-r.Schilke_OrionSurvey.7-200.top10.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t07/Schilke_OrionSurvey.7-200.model_hot_cores_full_500it.output 10 46,16,6,66,34,75,37,58,17,55,0,35,21,60,24,48,56,22 >> results.p-r.Schilke_OrionSurvey.7-200.top10.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t08/Schilke_OrionSurvey.7-200.model_hot_cores_full_500it.output 10 46,16,6,66,34,75,37,58,17,55,0,35,21,60,24,48,56,22 >> results.p-r.Schilke_OrionSurvey.7-200.top10.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t09/Schilke_OrionSurvey.7-200.model_hot_cores_full_500it.output 10 46,16,6,66,34,75,37,58,17,55,0,35,21,60,24,48,56,22 >> results.p-r.Schilke_OrionSurvey.7-200.top10.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t10/Schilke_OrionSurvey.7-200.model_hot_cores_full_500it.output 10 46,16,6,66,34,75,37,58,17,55,0,35,21,60,24,48,56,22 >> results.p-r.Schilke_OrionSurvey.7-200.top10.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t01/Schilke_OrionSurvey.8-200.model_hot_cores_full_500it.output 10 16,6,56,22,34,66,37,17,46,65,0,76,12,55,21,60,24,48,35 >> results.p-r.Schilke_OrionSurvey.8-200.top10.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t02/Schilke_OrionSurvey.8-200.model_hot_cores_full_500it.output 10 16,6,56,22,34,66,37,17,46,65,0,76,12,55,21,60,24,48,35 >> results.p-r.Schilke_OrionSurvey.8-200.top10.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t03/Schilke_OrionSurvey.8-200.model_hot_cores_full_500it.output 10 16,6,56,22,34,66,37,17,46,65,0,76,12,55,21,60,24,48,35 >> results.p-r.Schilke_OrionSurvey.8-200.top10.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t04/Schilke_OrionSurvey.8-200.model_hot_cores_full_500it.output 10 16,6,56,22,34,66,37,17,46,65,0,76,12,55,21,60,24,48,35 >> results.p-r.Schilke_OrionSurvey.8-200.top10.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t05/Schilke_OrionSurvey.8-200.model_hot_cores_full_500it.output 10 16,6,56,22,34,66,37,17,46,65,0,76,12,55,21,60,24,48,35 >> results.p-r.Schilke_OrionSurvey.8-200.top10.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t06/Schilke_OrionSurvey.8-200.model_hot_cores_full_500it.output 10 16,6,56,22,34,66,37,17,46,65,0,76,12,55,21,60,24,48,35 >> results.p-r.Schilke_OrionSurvey.8-200.top10.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t07/Schilke_OrionSurvey.8-200.model_hot_cores_full_500it.output 10 16,6,56,22,34,66,37,17,46,65,0,76,12,55,21,60,24,48,35 >> results.p-r.Schilke_OrionSurvey.8-200.top10.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t08/Schilke_OrionSurvey.8-200.model_hot_cores_full_500it.output 10 16,6,56,22,34,66,37,17,46,65,0,76,12,55,21,60,24,48,35 >> results.p-r.Schilke_OrionSurvey.8-200.top10.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t09/Schilke_OrionSurvey.8-200.model_hot_cores_full_500it.output 10 16,6,56,22,34,66,37,17,46,65,0,76,12,55,21,60,24,48,35 >> results.p-r.Schilke_OrionSurvey.8-200.top10.hot_cores_full.csv
# python scripts/get_precision_recall.py results_csv_spw200_v2/results_csv.hot_cores.t10/Schilke_OrionSurvey.8-200.model_hot_cores_full_500it.output 10 16,6,56,22,34,66,37,17,46,65,0,76,12,55,21,60,24,48,35 >> results.p-r.Schilke_OrionSurvey.8-200.top10.hot_cores_full.csv