2010:Query-by-Tapping Results

Introduction

These are the results for the 2010 running of the Query-by-tappingn task. For background information about this task set please refer to the 2010:Query_by_Tapping page.

Task Descriptions

Task 1 Goto Task 1 Results: The first subtask is the same as last year. In this subtask, submitted systems take a symbolic sung query as input and return a list of songs from the test database. Mean reciprocal rank (MRR) of the ground truth, as well as the simple hit(1)/miss(0) counting, is calculated over the top 10 returns. Two data sets are used:

• Jang's Dataset Roger Jang's MIR-QBT: This dataset contains both wav files (recorded via microphone) and onset files (human-labeled onset time). 136 ground truth songs with 890 queries.
• Hsiao's Dataset Show Hsiao's QBT_symbolic: This dataset contains only onset files (obtained from the user's tapping on keyboard). 143 ground truth songs with 410 queries.

Task 2 Goto Task 2 Results:The second subtask is the same as last year too. In this subtask, submitted systems take a wave-file sung query as input and return a list of songs from the test database. Mean reciprocal rank (MRR) of the ground truth, as well as the simple hit(1)/miss(0) counting, is calculated over the top 10 returns. Only Roger Jang's data http://neural.cs.nthu.edu.tw/jang2/dataSet/qbt4public/MIR-QBT.rar MIR-QBT] is used as the other dataset has no wave files.

General Legend

Team ID

Sub code	Submission name	Abstract	Contributors
HRFA1	QBT simbals	PDF	Pierre Hanna, Matthias Robine, Pascal Ferraro, Julien Allali
ML	QBT-M&O	PDF	Merabi Mirel, Oron Levy

Task 1a, Jang's Dataset Results

Task 1a Overall Results

	HAFR	ML
Simple Count	0.875	0.876
MRR	0.769	0.798
Total Count	890	890

download these results as csv

Task 1a Friedman's Test for Significant Differences

The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups. Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);

Simple Hit/Miss Count:

TeamID	TeamID	Lowerbound	Mean	Upperbound	Significance
HAFR	ML	-0.0641	0.0368	0.1376	FALSE

download these results as csv

MRR Method: file /nema-raid/www/mirex/results/2010/qbt/friedman/Qbt1aTask2MrrByGroup.friedman.tukeyKramerHSD.csv not found

Task 1a Summary Results by Query Group

Simple Hit/Miss Counting

	HAFR	ML
1	0.92	1.00
2	1.00	1.00
3	1.00	1.00
4	0.00	1.00
5	1.00	1.00
6	1.00	0.75
7	1.00	1.00
8	1.00	1.00
9	1.00	1.00
10	1.00	1.00
11	1.00	0.50
12	1.00	1.00
13	1.00	1.00
14	1.00	1.00
15	1.00	1.00
16	1.00	1.00
17	0.93	0.93
18	0.85	0.77
19	0.50	0.38
20	1.00	1.00
21	1.00	0.50
22	0.50	1.00
23	0.00	0.00
24	1.00	1.00
25	1.00	1.00
26	0.00	0.00
27	0.94	1.00
28	1.00	1.00
29	1.00	1.00
30	0.75	0.67
31	1.00	1.00
32	1.00	1.00
33	0.74	0.88
34	0.92	0.83
35	1.00	1.00
36	1.00	1.00
37	1.00	0.00
38	1.00	1.00
39	1.00	1.00
40	1.00	1.00
41	0.75	0.83
42	1.00	1.00
43	1.00	0.90
44	0.75	0.75
45	1.00	1.00
46	1.00	1.00
47	1.00	0.50
48	1.00	0.67
49	1.00	1.00
50	1.00	1.00
51	0.80	0.40
52	1.00	1.00
53	0.60	0.60
54	1.00	1.00
55	0.98	1.00
56	1.00	1.00
57	0.80	1.00
58	1.00	1.00
59	0.60	0.20
60	1.00	0.57
61	1.00	1.00
62	1.00	1.00
63	1.00	1.00
64	0.50	0.75
65	1.00	1.00
66	1.00	1.00
67	1.00	1.00
68	0.78	0.78
69	0.82	0.85
70	1.00	1.00
71	0.00	1.00
72	0.92	0.83
73	0.86	0.93
74	1.00	1.00
75	1.00	0.83
76	1.00	1.00
77	0.00	0.00
78	0.00	1.00
79	0.50	1.00
80	1.00	1.00
81	1.00	1.00
82	1.00	1.00
83	1.00	1.00
84	1.00	1.00
85	0.86	0.71
86	1.00	1.00
87	0.75	0.67
88	1.00	1.00
89	0.67	1.00
90	1.00	0.50
91	1.00	1.00
92	0.25	0.25
93	1.00	1.00
94	0.67	0.83
95	1.00	1.00
96	1.00	1.00
97	1.00	1.00
98	0.50	1.00
99	0.88	0.88
100	1.00	1.00
101	1.00	0.83
102	1.00	0.88
103	1.00	1.00
104	1.00	1.00
105	1.00	0.96
106	0.68	0.77
107	0.94	0.94
108	0.56	0.75
109	0.81	0.88
110	1.00	1.00
111	1.00	0.78
112	1.00	1.00
113	1.00	1.00
114	1.00	1.00
115	0.60	0.60
116	0.75	0.50
117	1.00	1.00
118	1.00	1.00
119	0.67	0.67
120	0.67	0.67
121	0.67	0.33
122	0.67	0.33
123	0.33	0.67
124	0.33	0.33
125	0.33	1.00
126	0.67	0.67
127	1.00	1.00
128	0.67	0.67
129	0.50	0.50
130	0.50	0.50
131	1.00	1.00
132	1.00	1.00
133	1.00	0.00
134	1.00	1.00
135	1.00	1.00
136	1.00	1.00

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MRR Method

	HAFR	ML
1	0.89	1.00
2	1.00	1.00
3	1.00	1.00
4	0.00	1.00
5	1.00	1.00
6	0.88	0.75
7	1.00	1.00
8	0.75	1.00
9	0.25	1.00
10	1.00	1.00
11	0.60	0.50
12	1.00	1.00
13	1.00	1.00
14	0.94	1.00
15	1.00	1.00
16	0.81	0.80
17	0.93	0.79
18	0.64	0.72
19	0.30	0.31
20	1.00	1.00
21	1.00	0.50
22	0.50	0.32
23	0.00	0.00
24	0.50	0.50
25	0.91	1.00
26	0.00	0.00
27	0.76	0.91
28	1.00	1.00
29	1.00	1.00
30	0.75	0.58
31	0.33	0.20
32	1.00	0.83
33	0.72	0.72
34	0.92	0.83
35	1.00	1.00
36	0.78	0.81
37	1.00	0.00
38	1.00	1.00
39	1.00	1.00
40	0.96	1.00
41	0.58	0.46
42	1.00	1.00
43	0.88	0.83
44	0.62	0.75
45	0.42	0.42
46	0.71	1.00
47	0.57	0.50
48	1.00	0.42
49	1.00	1.00
50	0.44	0.78
51	0.63	0.30
52	1.00	1.00
53	0.60	0.37
54	0.50	1.00
55	0.96	1.00
56	1.00	1.00
57	0.80	0.90
58	1.00	1.00
59	0.42	0.05
60	0.59	0.57
61	1.00	1.00
62	0.96	0.96
63	0.11	0.12
64	0.28	0.62
65	1.00	1.00
66	1.00	1.00
67	1.00	1.00
68	0.55	0.69
69	0.67	0.77
70	0.78	0.79
71	0.00	1.00
72	0.82	0.70
73	0.82	0.83
74	0.80	1.00
75	0.85	0.83
76	1.00	0.92
77	0.00	0.00
78	0.00	1.00
79	0.38	0.67
80	1.00	1.00
81	1.00	1.00
82	1.00	1.00
83	0.88	1.00
84	0.50	1.00
85	0.16	0.71
86	1.00	1.00
87	0.69	0.49
88	1.00	1.00
89	0.42	1.00
90	1.00	0.25
91	1.00	1.00
92	0.12	0.25
93	1.00	1.00
94	0.29	0.62
95	0.94	0.83
96	1.00	1.00
97	1.00	1.00
98	0.50	0.55
99	0.79	0.88
100	1.00	1.00
101	0.57	0.83
102	1.00	0.88
103	1.00	1.00
104	1.00	0.98
105	0.94	0.94
106	0.59	0.71
107	0.68	0.82
108	0.46	0.48
109	0.65	0.88
110	0.97	1.00
111	0.82	0.78
112	0.94	1.00
113	1.00	1.00
114	0.80	0.73
115	0.31	0.50
116	0.54	0.38
117	1.00	1.00
118	1.00	1.00
119	0.67	0.67
120	0.67	0.67
121	0.40	0.33
122	0.50	0.04
123	0.33	0.67
124	0.33	0.33
125	0.17	0.44
126	0.67	0.67
127	1.00	1.00
128	0.67	0.67
129	0.25	0.25
130	0.50	0.50
131	1.00	1.00
132	1.00	1.00
133	0.14	0.00
134	1.00	1.00
135	1.00	1.00
136	1.00	1.00

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Task 1a Summary Results by Query

Simple Hit/Miss Counting [1]

MRR Method [2]

Task 1b, Hsiao's Dataset Results

Task 1b Overall Results

	HAFR	ML
Simple Count	0.88	0.85
MRR	0.70	0.71
Total Count	890.00	890.00

download these results as csv

Task 1b Friedman's Test for Significant Differences

The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups. Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);

Simple Hit/Miss Count:

TeamID	TeamID	Lowerbound	Mean	Upperbound	Significance
HAFR	ML	-0.0419	0.0280	0.0979	FALSE

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MRR Method:

TeamID	TeamID	Lowerbound	Mean	Upperbound	Significance
ML	HAFR	-0.1270	-0.0140	0.0990	FALSE

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Task 1b Summary Results by Query Group

Simple Hit/Miss Counting

	HAFR	ML
1	1.00	1.00
2	NaN	NaN
3	1.00	1.00
4	1.00	1.00
5	1.00	1.00
6	1.00	1.00
7	1.00	1.00
8	1.00	1.00
9	1.00	1.00
10	0.67	1.00
11	1.00	1.00
12	1.00	0.75
13	1.00	1.00
14	1.00	1.00
15	NaN	NaN
16	1.00	1.00
17	1.00	1.00
18	1.00	1.00
19	1.00	1.00
20	1.00	1.00
21	1.00	1.00
22	1.00	1.00
23	0.83	1.00
24	0.67	0.67
25	1.00	0.00
26	0.00	0.00
27	1.00	1.00
28	NaN	NaN
29	1.00	1.00
30	1.00	1.00
31	NaN	NaN
32	1.00	1.00
33	1.00	1.00
34	1.00	1.00
35	NaN	NaN
36	0.00	0.00
37	0.00	0.50
38	0.86	1.00
39	1.00	1.00
40	0.50	0.00
41	1.00	1.00
42	1.00	0.33
43	1.00	1.00
44	1.00	1.00
45	1.00	1.00
46	1.00	1.00
47	1.00	1.00
48	1.00	1.00
49	0.67	0.67
50	1.00	1.00
51	1.00	0.00
52	1.00	1.00
53	0.89	0.89
54	1.00	1.00
55	1.00	0.00
56	0.50	1.00
57	1.00	1.00
58	NaN	NaN
59	1.00	1.00
60	1.00	1.00
61	0.75	0.75
62	0.50	1.00
63	1.00	1.00
64	NaN	NaN
65	1.00	1.00
66	NaN	NaN
67	1.00	1.00
68	NaN	NaN
69	1.00	1.00
70	1.00	0.20
71	NaN	NaN
72	1.00	1.00
73	1.00	1.00
74	NaN	NaN
75	1.00	1.00
76	1.00	0.60
77	NaN	NaN
78	1.00	1.00
79	1.00	1.00
80	1.00	1.00
81	1.00	0.00
82	1.00	0.00
83	1.00	1.00
84	1.00	1.00
85	0.00	0.00
86	1.00	1.00
87	1.00	0.75
88	0.60	1.00
89	1.00	1.00
90	1.00	1.00
91	1.00	1.00
92	1.00	1.00
93	1.00	1.00
94	0.75	1.00
95	0.67	0.67
96	1.00	1.00
97	0.00	0.00
98	1.00	1.00
99	1.00	1.00
100	1.00	1.00
101	1.00	1.00
102	1.00	1.00
103	NaN	NaN
104	1.00	1.00
105	1.00	1.00
106	0.33	0.00
107	NaN	NaN
108	1.00	1.00
109	1.00	1.00
110	1.00	1.00
111	1.00	1.00
112	1.00	1.00
113	1.00	1.00
114	0.50	1.00
115	NaN	NaN
116	0.00	0.00
117	1.00	1.00
118	1.00	0.67
119	0.00	0.00
120	0.67	1.00
121	0.67	1.00
122	1.00	1.00
123	1.00	1.00
124	1.00	1.00
125	0.00	0.00
126	1.00	1.00
127	1.00	1.00
128	1.00	1.00
129	1.00	1.00
130	0.00	0.00
131	0.00	0.00
132	1.00	1.00
133	1.00	0.00
134	0.50	0.50
135	1.00	1.00
136	1.00	1.00
137	1.00	1.00
138	1.00	1.00
139	1.00	0.80
140	0.00	0.00
141	1.00	1.00
142	1.00	1.00
143	1.00	1.00

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MRR Method

	HAFR	ML
1	1.00	1.00
2	NaN	NaN
3	0.83	0.88
4	0.75	0.75
5	1.00	1.00
6	0.50	0.50
7	1.00	1.00
8	1.00	1.00
9	1.00	1.00
10	0.50	0.61
11	1.00	1.00
12	0.81	0.75
13	1.00	1.00
14	0.42	0.75
15	NaN	NaN
16	1.00	1.00
17	1.00	1.00
18	1.00	1.00
19	1.00	1.00
20	1.00	1.00
21	1.00	1.00
22	1.00	1.00
23	0.47	1.00
24	0.67	0.67
25	0.75	0.00
26	0.00	0.00
27	0.67	0.50
28	NaN	NaN
29	1.00	1.00
30	1.00	1.00
31	NaN	NaN
32	0.50	1.00
33	0.56	0.50
34	0.61	0.67
35	NaN	NaN
36	0.00	0.00
37	0.00	0.10
38	0.26	0.93
39	1.00	1.00
40	0.07	0.00
41	1.00	1.00
42	0.83	0.17
43	0.75	0.46
44	0.42	0.75
45	0.56	0.69
46	1.00	1.00
47	1.00	1.00
48	1.00	1.00
49	0.14	0.21
50	1.00	1.00
51	0.12	0.00
52	1.00	1.00
53	0.83	0.89
54	0.37	0.23
55	1.00	0.00
56	0.25	1.00
57	0.90	1.00
58	NaN	NaN
59	0.50	0.50
60	0.62	0.62
61	0.75	0.62
62	0.50	0.31
63	0.67	0.83
64	NaN	NaN
65	0.49	0.46
66	NaN	NaN
67	0.20	0.75
68	NaN	NaN
69	0.85	0.69
70	0.41	0.20
71	NaN	NaN
72	1.00	0.75
73	1.00	1.00
74	NaN	NaN
75	1.00	1.00
76	0.85	0.13
77	NaN	NaN
78	0.83	0.67
79	0.58	0.75
80	0.33	1.00
81	0.35	0.00
82	0.50	0.00
83	1.00	1.00
84	0.62	1.00
85	0.00	0.00
86	1.00	1.00
87	1.00	0.62
88	0.43	1.00
89	0.69	0.85
90	0.78	0.50
91	1.00	0.88
92	1.00	1.00
93	1.00	1.00
94	0.16	0.33
95	0.67	0.67
96	1.00	1.00
97	0.00	0.00
98	0.75	1.00
99	1.00	1.00
100	1.00	1.00
101	1.00	0.87
102	1.00	1.00
103	NaN	NaN
104	1.00	1.00
105	0.33	1.00
106	0.11	0.00
107	NaN	NaN
108	1.00	1.00
109	0.33	0.33
110	0.10	0.50
111	0.50	0.33
112	0.78	0.73
113	1.00	1.00
114	0.17	0.56
115	NaN	NaN
116	0.00	0.00
117	0.75	0.75
118	0.67	0.33
119	0.00	0.00
120	0.50	0.58
121	0.67	0.70
122	0.88	0.67
123	0.78	0.49
124	0.70	0.60
125	0.00	0.00
126	1.00	1.00
127	0.88	0.62
128	0.78	1.00
129	1.00	1.00
130	0.00	0.00
131	0.00	0.00
132	0.75	1.00
133	0.48	0.00
134	0.06	0.17
135	1.00	1.00
136	1.00	1.00
137	1.00	1.00
138	0.38	0.33
139	0.44	0.43
140	0.00	0.00
141	0.69	1.00
142	0.50	0.67
143	1.00	1.00

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Task 1b Summary Results by Query

Simple Hit/Miss Counting [3]

MRR Method [4]

Task 2 Results

Task 2 Overall Results

	HAFR	ML
Simple Count	0.787	0.872
MRR	0.664	0.781
Total Count	890	890

download these results as csv

Task 2 Friedman's Test for Significant Differences

The Friedman test was run in MATLAB against the QBSH Task 1 MRR data over the 48 ground truth song groups. Command: [c,m,h,gnames] = multcompare(stats, 'ctype', 'tukey-kramer','estimate', 'friedman', 'alpha', 0.05);

Simple Hit/Miss Count:

TeamID	TeamID	Lowerbound	Mean	Upperbound	Significance
ML	HAFR	0.0162	0.1250	0.2338	TRUE

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MRR Method:

TeamID	TeamID	Lowerbound	Mean	Upperbound	Significance
ML	HAFR	0.2316	0.3750	0.5184	TRUE

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Task 2 Summary Results by Query Group

Simple Hit/Miss Counting

	HAFR	ML
1	0.69	1.00
2	1.00	1.00
3	1.00	1.00
4	0.00	1.00
5	1.00	1.00
6	1.00	0.75
7	1.00	1.00
8	1.00	1.00
9	1.00	1.00
10	1.00	1.00
11	1.00	1.00
12	1.00	1.00
13	1.00	1.00
14	1.00	1.00
15	1.00	1.00
16	0.90	1.00
17	0.93	0.87
18	0.61	0.77
19	0.75	0.38
20	1.00	1.00
21	1.00	0.50
22	1.00	1.00
23	0.00	0.00
24	1.00	1.00
25	1.00	1.00
26	0.00	0.00
27	0.71	0.97
28	0.67	1.00
29	1.00	1.00
30	0.67	0.67
31	0.00	1.00
32	1.00	1.00
33	0.59	0.86
34	0.92	0.83
35	1.00	1.00
36	1.00	1.00
37	1.00	0.00
38	1.00	1.00
39	1.00	1.00
40	0.86	0.93
41	0.83	0.92
42	1.00	1.00
43	0.90	0.90
44	0.75	0.75
45	1.00	1.00
46	0.83	1.00
47	1.00	0.50
48	1.00	0.67
49	1.00	1.00
50	1.00	1.00
51	0.80	0.40
52	1.00	0.50
53	0.20	0.60
54	1.00	1.00
55	0.84	1.00
56	1.00	1.00
57	0.80	1.00
58	1.00	1.00
59	0.40	0.20
60	0.57	0.57
61	0.82	1.00
62	0.75	0.92
63	0.00	1.00
64	0.50	0.75
65	1.00	1.00
66	1.00	1.00
67	1.00	1.00
68	0.56	0.78
69	0.64	0.85
70	0.75	1.00
71	0.00	1.00
72	0.92	0.83
73	0.71	1.00
74	1.00	1.00
75	0.83	0.83
76	1.00	1.00
77	0.00	0.00
78	0.00	1.00
79	0.75	0.75
80	1.00	1.00
81	1.00	1.00
82	1.00	1.00
83	1.00	1.00
84	1.00	1.00
85	0.43	0.86
86	1.00	1.00
87	0.67	0.58
88	1.00	1.00
89	1.00	1.00
90	1.00	0.50
91	1.00	1.00
92	0.25	0.25
93	1.00	1.00
94	0.83	0.83
95	0.88	1.00
96	1.00	1.00
97	1.00	1.00
98	0.50	1.00
99	0.88	0.88
100	1.00	1.00
101	1.00	1.00
102	1.00	0.88
103	1.00	1.00
104	0.89	0.96
105	0.81	0.96
106	0.73	0.82
107	0.72	0.89
108	0.44	0.75
109	0.81	0.94
110	0.93	0.93
111	1.00	1.00
112	1.00	1.00
113	0.71	0.86
114	0.60	1.00
115	0.60	0.40
116	0.75	0.25
117	1.00	1.00
118	1.00	1.00
119	0.67	0.67
120	0.67	0.67
121	1.00	0.67
122	0.67	0.00
123	0.67	0.67
124	0.33	0.33
125	1.00	1.00
126	1.00	1.00
127	1.00	1.00
128	0.67	0.33
129	0.50	0.50
130	0.50	1.00
131	1.00	1.00
132	1.00	1.00
133	0.00	0.00
134	1.00	1.00
135	1.00	1.00
136	0.00	1.00

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MRR Method

	HAFR	ML
1	0.69	0.96
2	1.00	1.00
3	1.00	1.00
4	0.00	1.00
5	0.67	1.00
6	0.83	0.75
7	1.00	1.00
8	1.00	0.58
9	0.10	1.00
10	1.00	1.00
11	0.67	1.00
12	1.00	1.00
13	1.00	1.00
14	0.89	1.00
15	1.00	1.00
16	0.70	0.78
17	0.79	0.78
18	0.34	0.67
19	0.33	0.31
20	1.00	1.00
21	1.00	0.50
22	0.55	0.32
23	0.00	0.00
24	0.50	0.50
25	0.93	1.00
26	0.00	0.00
27	0.64	0.91
28	0.37	1.00
29	1.00	1.00
30	0.53	0.58
31	0.00	0.20
32	1.00	0.83
33	0.56	0.68
34	0.92	0.83
35	1.00	1.00
36	0.58	0.81
37	1.00	0.00
38	1.00	1.00
39	1.00	1.00
40	0.82	0.93
41	0.47	0.49
42	1.00	1.00
43	0.78	0.83
44	0.75	0.75
45	0.33	0.42
46	0.62	1.00
47	1.00	0.50
48	0.43	0.42
49	1.00	0.75
50	0.51	0.73
51	0.70	0.30
52	1.00	0.50
53	0.20	0.50
54	0.33	1.00
55	0.75	0.96
56	1.00	1.00
57	0.80	0.90
58	0.91	1.00
59	0.09	0.05
60	0.41	0.57
61	0.82	1.00
62	0.69	0.92
63	0.00	0.14
64	0.50	0.62
65	1.00	1.00
66	1.00	1.00
67	0.25	1.00
68	0.44	0.66
69	0.49	0.73
70	0.54	0.80
71	0.00	1.00
72	0.80	0.72
73	0.60	0.95
74	0.90	1.00
75	0.83	0.83
76	1.00	1.00
77	0.00	0.00
78	0.00	1.00
79	0.38	0.62
80	1.00	1.00
81	1.00	1.00
82	1.00	1.00
83	0.88	1.00
84	0.50	1.00
85	0.22	0.79
86	1.00	1.00
87	0.50	0.44
88	0.75	1.00
89	0.58	1.00
90	0.56	0.25
91	0.87	1.00
92	0.06	0.25
93	1.00	1.00
94	0.49	0.62
95	0.70	0.75
96	0.50	1.00
97	0.79	1.00
98	0.50	0.55
99	0.79	0.88
100	1.00	1.00
101	0.52	0.85
102	1.00	0.88
103	0.89	1.00
104	0.79	0.89
105	0.81	0.94
106	0.58	0.71
107	0.67	0.77
108	0.33	0.47
109	0.62	0.82
110	0.90	0.93
111	0.81	1.00
112	1.00	1.00
113	0.71	0.86
114	0.44	0.73
115	0.35	0.40
116	0.58	0.25
117	0.75	1.00
118	1.00	1.00
119	0.50	0.67
120	0.67	0.67
121	0.83	0.67
122	0.25	0.00
123	0.44	0.67
124	0.17	0.33
125	0.28	0.39
126	1.00	1.00
127	1.00	1.00
128	0.67	0.08
129	0.05	0.25
130	0.50	0.57
131	1.00	0.67
132	0.60	1.00
133	0.00	0.00
134	1.00	1.00
135	1.00	1.00
136	0.00	1.00

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Task 2 Summary Results by Query

Simple Hit/Miss Counting [5]

MRR Method [6]

Runtime Results

Participant	Task	Runtime (min)	Machine
HRFA	task1a	13	nema-c-1-2
HRFA	task1b	5	nema-c-1-2
HRFA	task2	37	nema-c-1-2
ML	task1a	10	1.83 GHz. 1Gb RAM
ML	task1b	4	2 GHz dual core. 2Gb RAM
ML	task2	13	1.83 GHz. 1Gb RAM

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