|
Size: 1137
Comment:
|
Size: 2727
Comment:
|
| Deletions are marked like this. | Additions are marked like this. |
| Line 7: | Line 7: |
| ||<tablewidth="100%" tableheight="auto" style="text-align:center" |2> '''Name''' |||||| '''Query: The H''' |||||| '''Query: Ter,inator''' |||||| '''Query: Figct Cl''' ||<style="text-align:center" |2>'''Processor / RAM''' ||||<style="text-align:center" |2>'''Language''' || | '''Note''': The original dataset had encoding issues. Please measure your times using the corrected [[http://ad-teaching.informatik.uni-freiburg.de/InformationRetrievalWS1516/movie-titles-ascii.txt|dataset]] we uploaded {{{ #!html <span style="color:red">(Sunday, November 22nd, 17:35h).</span> }}} ||<tablewidth="100%" tableheight="auto" style="text-align:center" |2> '''Name''' |||||| '''Query: The H''' |||||| '''Query: Terinator''' |||||| '''Query: Figct Cl''' ||<style="text-align:center" |2>'''Processor / RAM''' ||||<style="text-align:center" |2>'''Language''' || |
| Line 9: | Line 14: |
| ||Elmar ||<:> 4591ms ||<:> 1460ms ||<:> 49226 ||<:> 15523ms ||<:> 125ms ||<:> 1240 ||<:> 1071ms ||<:> 3ms ||<:> 8 || Intel i5-2520M @ 2.50GHz / 8GB || Python || | ||Elmar ||<:> 3,912ms ||<:> 1,218ms ||<:> 48,521 ||<:> 12,254ms ||<:> 107ms ||<:> 1,206 ||<:> 8,060ms ||<:> 3ms ||<:> 5 || Intel i5-2520M @ 2.50GHz / 8GB || Python || ||Matia ||<:> 3,239ms ||<:> 1,261ms ||<:> 48,521 ||<:> 11,217ms ||<:> 265ms ||<:> 1,206 ||<:> 7,343ms ||<:> 17ms ||<:> 5 || Intel i5 @ 2.60GHz / 8GB || Python || ||Marco ||<:> 257ms ||<:> 62ms ||<:> 31,900 ||<:> 521ms ||<:> 92ms ||<:> 31,953 ||<:> 336ms ||<:> 14ms ||<:> 5506 || Intel i5 @ 2.60GHz / 8GB || Java || ||Raghu ||<:> 45,120ms ||<:> 14,155ms ||<:> 48,521 ||<:> 154,070ms ||<:> 2,558ms ||<:> 1,206 ||<:> 101,053ms ||<:> 125ms ||<:> 5 || AMD A6 @ 1.80 GHz / 4GB || Python || ||Jay ||<:> 4,168ms ||<:> 919ms ||<:> 34,797 ||<:> 13,249ms ||<:> 3,379ms ||<:> 41,125 ||<:> 8,816ms ||<:> 639ms ||<:> 11,783 || i7-4510U @ 2.00GHz / 8GB || Python || ||Evgeny + Numair||<:> 4,875ms ||<:> 1,834ms ||<:> 49,229 ||<:> 10,630ms ||<:> 271ms ||<:> 1,240 ||<:> 8,298ms ||<:> 19ms ||<:> 8 || Intel i5 @ 3.50 GHz - 16 GB RAM || Python || |
Results for Exercise Sheet 5 (q-Gram Index)
Add your row to the table below, following the examples already there. Time B is the time for the baseline. Time Q is the time using the q-gram index. #PEDs Q is the number of PED computations done with the q-gram based algorithm.
In the first column, write your first name, or name1+name2 if you work in a group.
Note: The original dataset had encoding issues. Please measure your times using the corrected dataset we uploaded (Sunday, November 22nd, 17:35h).
Name |
Query: The H |
Query: Terinator |
Query: Figct Cl |
Processor / RAM |
Language |
|||||||
Time B |
Time Q |
#PEDs Q |
Time B |
Time Q |
#PEDs Q |
Time B |
Time Q |
#PEDs Q |
||||
Elmar |
3,912ms |
1,218ms |
48,521 |
12,254ms |
107ms |
1,206 |
8,060ms |
3ms |
5 |
Intel i5-2520M @ 2.50GHz / 8GB |
Python |
|
Matia |
3,239ms |
1,261ms |
48,521 |
11,217ms |
265ms |
1,206 |
7,343ms |
17ms |
5 |
Intel i5 @ 2.60GHz / 8GB |
Python |
|
Marco |
257ms |
62ms |
31,900 |
521ms |
92ms |
31,953 |
336ms |
14ms |
5506 |
Intel i5 @ 2.60GHz / 8GB |
Java |
|
Raghu |
45,120ms |
14,155ms |
48,521 |
154,070ms |
2,558ms |
1,206 |
101,053ms |
125ms |
5 |
AMD A6 @ 1.80 GHz / 4GB |
Python |
|
Jay |
4,168ms |
919ms |
34,797 |
13,249ms |
3,379ms |
41,125 |
8,816ms |
639ms |
11,783 |
i7-4510U @ 2.00GHz / 8GB |
Python |
|
Evgeny + Numair |
4,875ms |
1,834ms |
49,229 |
10,630ms |
271ms |
1,240 |
8,298ms |
19ms |
8 |
Intel i5 @ 3.50 GHz - 16 GB RAM |
Python |
|