Test data, multi-objective problems, for SE problems

,Tests4mop.md

Test data, Multi-objective Problems, SE

Url: http://tiny.cc/tests4mop

For those tired on DTLZ, fonseca, etc etc etc.

Contents

What	File
Misc	nasa93dem.csv healthCloseIsses12mths0011-easy.csv healthCloseIsses12mths0001-hard.csv coc1000.csv china.csv auto93.csv
UCI	Wine_quality.csv
Process data	pom3a.csv pom3b.csv pom3c.csv pom3d.csv xomo_flight.csv xomo_ground.csv xomo_osp.csv xomo_osp2.csv coc1000.csv china.csv nasa93dem.csv
Configuration	SS-A.csv SS-B.csv SS-C.csv SS-D.csv SS-E.csv SS-F.csv SS-G.csv SS-H.csv SS-I.csv SS-J.csv SS-K.csv SS-L.csv SS-M.csv SS-N.csv SS-O.csv

Misc

• auto93.csv : designing a car
• healthCloseIsses12mths0011-easy.csv : predicting software project health indicators, 12 months into the future (easy example)
• healthCloseIsses12mths0001-hard.csv : predicting software project health indicators, 12 months into the future (hard example)

UCI

Related to red and white vinho verde wine samples, from the north of Portugal. The goal is to model wine quality based on physicochemical tests (see [Cortez et al., 2009], http://www3.dsi.uminho.pt/pcortez/wine/). For more info, please see: https://archive.ics.uci.edu/dataset/186/wine+quality

Process data

These descriptions were taken from [8].

XOMO

XOMO was introduced in ¹ and is a general framework for Monte Carlo simulations that combine four COCOMO-like process models from Barry Boehm's group at USC. XOMO has four objectives:

• Reduce project risk
• Reduce development effort
• Reduce predicted defects
• Reduce total months of development

The variables used are described below, and takes values in the range 1..6.

Variable	Description
prec	Have we done this before?
flex	Development flexibility
resl	Any risk resolution activities?
team	Team cohesion
pmat	Process maturity
acap	Analyst capability
pcap	Programmer capability
pcon	Programmer continuity
aexp	Analyst experience
pexp	Programmer experience
ltex	Language and tool experience
tool	Tool use
site	Multiple site development
sced	Length of schedule
rely	Required reliability
data	Secondary memory requirements
cplx	Program complexity
ruse	Software reuse
docu	Documentation requirements
time	Runtime pressure
stor	Main memory requirements
pvol	Platform volatility

This directory contains four scenarios taken from NASA's Jet Propulsion Lab [7]. Flight and ground are general descriptions of all flight and ground software, and OSP and OSP2 represent two versions of the Orbital Space Plane flight guidance system. In order of complexity: OSP = OSP2 < Ground < Flight.

POM3

POM3 is a model of the management challenge specific to Agile development ² [3-4]. In particular, it simulates Boehm & Turner's model of agile programming [5] where teams select tasks as they appear in the scrum backlog. The goals of POM3 are:

• Increase completion rates
• Reduce idle rates
• Reduce overall cost

The inputs to the model are below:

Short name	Decision	Description
Cult	Culture	Percent of requirements that change
Crit	Criticality	Requirements cost effect for safety-critical systems
Crit.Mod	Criticality modifier	Percentage of teams affected by criticality
Init. Kn	Initial Known	Percentage of initially known requirements
Inter-D	Inter-dependency	Percentage of requirements that have inter-dependencies with other teams
Dyna	Dynamism	Rate of how new requirements are made
Size	Size	Number of base requirements in the project
Plan	Plan	Prioritization strategy, see below
T.Size	Team size	Number of personnel in each team

Where the prioritization strategy values are:

• 0: Cost ascending
• 1: Cost descending
• 2: Value ascending
• 3: Value descending
• 4: Cost/Value ascending
• 5: Cost/Value descending

There are three sets of POM models: POM3a covers a wide range of projects; POM3b represents small and highly critical projects; POM3c represents large and dynamic projects, where cost and value can be altered over a wide range. In order of complexity, POM3a < POM3b < POM3c [6].

[3] Boehm, Barry W., and Richard Turner. Balancing agility and discipline: A guide for the perplexed. Addison-Wesley Professional, 2004.
[4] Port, Dan, Alexy Olkov, and Tim Menzies. "Using simulation to investigate requirements prioritization strategies." 2008 23rd IEEE/ACM International Conference on Automated Software Engineering. IEEE, 2008.
[5] Boehm, Barry W., et al. Software cost estimation with Cocomo II with Cdrom. Prentice Hall PTR, 2000.
[6] Lekkalapudi, Naveen Kumar. Cross trees: Visualizing estimations using decision trees. West Virginia University, 2014.
[7] Menzies, Tim, et al. "How to avoid drastic software process change (using stochastic stability)." 2009 IEEE 31st International Conference on Software Engineering. IEEE, 2009.
[8] Chen, Jianfeng, et al. "“Sampling” as a baseline optimizer for search-based software engineering." IEEE Transactions on Software Engineering 45.6 (2018): 597-614.

Configuration

For more details and data description, please see Table 1 and Table 2 from this paper: https://arxiv.org/pdf/1801.02175.pdf.

Footnotes

1. Menzies, Tim, and Julian Richardson. "Xomo: Understanding development options for autonomy." COCOMO forum. Vol. 2005. ↩

2. Boehm, Barry, and Richard Turner. "Using risk to balance agile and plan-driven methods." Computer 36.6 (2003): 57-66. ↩

Makefile

-include ../tricks/Makefile

SS-A.csv

SS-B.csv

SS-C.csv

SS-D.csv

SS-E.csv

SS-F.csv

SS-G.csv

SS-H.csv

SS-I.csv

SS-J.csv

SS-K.csv

SS-L.csv

auto93.csv

china.csv

coc1000.csv

healthCloseIsses12mths0001-hard.csv

healthCloseIsses12mths0011-easy.csv

logo.png

nasa93dem.csv

pom3a.csv

pom3b.csv

pom3c.csv

pom3d.csv

SS-M.csv

F,Smoother,ColorGS,RelaxParameter,V,Jacobi,Line,ZebraLine,Cycle,Alpha,Beta,PreSmoothing,PostSmoothing,NumberIterations-, TimeToSolution- 
1,1,1,0,0,0,0,0,1,85,5,0,1,501,2741.066
1,1,1,1,0,0,0,0,1,85,5,0,1,254,1395.957
1,1,0,0,0,1,0,0,1,85,5,0,1,501,2775.228
1,1,0,1,0,1,0,0,1,85,5,0,1,501,2784.687
1,1,0,0,0,0,1,0,1,85,5,0,1,11,80.616
1,1,0,1,0,0,1,0,1,85,5,0,1,11,80.731
1,1,0,0,0,0,0,1,1,85,5,0,1,10,72.38
1,1,0,1,0,0,0,1,1,85,5,0,1,10,74.602
0,1,1,0,1,0,0,0,1,85,5,0,1,501,2141.346
0,1,1,1,1,0,0,0,1,85,5,0,1,245,1053.439
0,1,0,0,1,1,0,0,1,85,5,0,1,501,2180.938
0,1,0,1,1,1,0,0,1,85,5,0,1,501,2180.524
0,1,0,0,1,0,1,0,1,85,5,0,1,13,70.463
0,1,0,1,1,0,1,0,1,85,5,0,1,13,68.68
0,1,0,0,1,0,0,1,1,85,5,0,1,12,63.267
0,1,0,1,1,0,0,1,1,85,5,0,1,12,65.576
1,1,1,0,0,0,0,0,1,85,5,0,2,501,3635.169
1,1,1,1,0,0,0,0,1,85,5,0,2,67,488.853
1,1,0,0,0,1,0,0,1,85,5,0,2,501,3799.022
1,1,0,1,0,1,0,0,1,85,5,0,2,501,3768.546
1,1,0,0,0,0,1,0,1,85,5,0,2,7,71.948
1,1,0,1,0,0,1,0,1,85,5,0,2,7,73.899
1,1,0,0,0,0,0,1,1,85,5,0,2,7,74.999
1,1,0,1,0,0,0,1,1,85,5,0,2,7,70.763
0,1,1,0,1,0,0,0,1,85,5,0,2,501,2848.439
0,1,1,1,1,0,0,0,1,85,5,0,2,95,542.379
0,1,0,0,1,1,0,0,1,85,5,0,2,501,2937.448
0,1,0,1,1,1,0,0,1,85,5,0,2,501,2927.994
0,1,0,0,1,0,1,0,1,85,5,0,2,9,66.413
0,1,0,1,1,0,1,0,1,85,5,0,2,9,71.363
0,1,0,0,1,0,0,1,1,85,5,0,2,8,58.369
0,1,0,1,1,0,0,1,1,85,5,0,2,8,58.669
1,1,1,0,0,0,0,0,1,85,5,0,3,373,3433.627
1,1,1,1,0,0,0,0,1,85,5,0,3,44,400.714
1,1,0,0,0,1,0,0,1,85,5,0,3,501,4744.286
1,1,0,1,0,1,0,0,1,85,5,0,3,501,4772.855
1,1,0,0,0,0,1,0,1,85,5,0,3,6,78.848
1,1,0,1,0,0,1,0,1,85,5,0,3,6,79.983
1,1,0,0,0,0,0,1,1,85,5,0,3,6,103.086
1,1,0,1,0,0,0,1,1,85,5,0,3,6,89.159
0,1,1,0,1,0,0,0,1,85,5,0,3,393,2843.167
0,1,1,1,1,0,0,0,1,85,5,0,3,57,419.019
0,1,0,0,1,1,0,0,1,85,5,0,3,501,3631.964
0,1,0,1,1,1,0,0,1,85,5,0,3,501,3736.098
0,1,0,0,1,0,1,0,1,85,5,0,3,7,66.77
0,1,0,1,1,0,1,0,1,85,5,0,3,7,71.813
0,1,0,0,1,0,0,1,1,85,5,0,3,7,67.867
0,1,0,1,1,0,0,1,1,85,5,0,3,7,69.391
1,1,1,0,0,0,0,0,1,85,5,0,4,280,3127.049
1,1,1,1,0,0,0,0,1,85,5,0,4,34,389.943
1,1,0,0,0,1,0,0,1,85,5,0,4,501,5856.623
1,1,0,1,0,1,0,0,1,85,5,0,4,501,5738.672
1,1,0,0,0,0,1,0,1,85,5,0,4,5,80.862
1,1,0,1,0,0,1,0,1,85,5,0,4,6,94.289
1,1,0,0,0,0,0,1,1,85,5,0,4,6,95.56
1,1,0,1,0,0,0,1,1,85,5,0,4,6,93.529
0,1,1,0,1,0,0,0,1,85,5,0,4,294,2490.804
0,1,1,1,1,0,0,0,1,85,5,0,4,34,290.627
0,1,0,0,1,1,0,0,1,85,5,0,4,501,4482.002
0,1,0,1,1,1,0,0,1,85,5,0,4,501,4586.024
0,1,0,0,1,0,1,0,1,85,5,0,4,6,68.934
0,1,0,1,1,0,1,0,1,85,5,0,4,7,83.125
0,1,0,0,1,0,0,1,1,85,5,0,4,6,68.076
0,1,0,1,1,0,0,1,1,85,5,0,4,6,69.824
1,1,1,0,0,0,0,0,1,85,5,0,5,224,3101.51
1,1,1,1,0,0,0,0,1,85,5,0,5,26,424.799
1,1,0,0,0,1,0,0,1,85,5,0,5,501,7311.638
1,1,0,1,0,1,0,0,1,85,5,0,5,477,7116.379
1,1,0,0,0,0,1,0,1,85,5,0,5,5,133.685
1,1,0,1,0,0,1,0,1,85,5,0,5,6,162.434
1,1,0,0,0,0,0,1,1,85,5,0,5,6,158.214
1,1,0,1,0,0,0,1,1,85,5,0,5,6,167.441
0,1,1,0,1,0,0,0,1,85,5,0,5,235,2828.896
0,1,1,1,1,0,0,0,1,85,5,0,5,27,273.715
0,1,0,0,1,1,0,0,1,85,5,0,5,501,5412.048
0,1,0,1,1,1,0,0,1,85,5,0,5,500,5367.413
0,1,0,0,1,0,1,0,1,85,5,0,5,6,87.461
0,1,0,1,1,0,1,0,1,85,5,0,5,6,87.202
0,1,0,0,1,0,0,1,1,85,5,0,5,6,88.758
0,1,0,1,1,0,0,1,1,85,5,0,5,6,83.067
1,1,1,0,0,0,0,0,1,85,5,0,6,187,2872.45
1,1,1,1,0,0,0,0,1,85,5,0,6,23,352.187
1,1,0,0,0,1,0,0,1,85,5,0,6,501,8068.78
1,1,0,1,0,1,0,0,1,85,5,0,6,397,6933.948
1,1,0,0,0,0,1,0,1,85,5,0,6,5,111.697
1,1,0,1,0,0,1,0,1,85,5,0,6,5,106.989
1,1,0,0,0,0,0,1,1,85,5,0,6,5,112.489
1,1,0,1,0,0,0,1,1,85,5,0,6,5,112.891
0,1,1,0,1,0,0,0,1,85,5,0,6,196,2270.568
0,1,1,1,1,0,0,0,1,85,5,0,6,23,286.163
0,1,0,0,1,1,0,0,1,85,5,0,6,501,6639.53
0,1,0,1,1,1,0,0,1,85,5,0,6,417,5132.487
0,1,0,0,1,0,1,0,1,85,5,0,6,6,101.324
0,1,0,1,1,0,1,0,1,85,5,0,6,6,95.612
0,1,0,0,1,0,0,1,1,85,5,0,6,5,78.243
0,1,0,1,1,0,0,1,1,85,5,0,6,5,78.36
1,1,1,0,0,0,0,0,1,85,5,0,7,160,2734.038
1,1,1,1,0,0,0,0,1,85,5,0,7,19,316.016
1,1,0,0,0,1,0,0,1,85,5,0,7,501,8956.041
1,1,0,1,0,1,0,0,1,85,5,0,7,341,5994.842
1,1,0,0,0,0,1,0,1,85,5,0,7,5,119.634
1,1,0,1,0,0,1,0,1,85,5,0,7,5,128.347
1,1,0,0,0,0,0,1,1,85,5,0,7,5,118.339
1,1,0,1,0,0,0,1,1,85,5,0,7,5,132.681
0,1,1,0,1,0,0,0,1,85,5,0,7,168,2211.652
0,1,1,1,1,0,0,0,1,85,5,0,7,19,249.888
0,1,0,0,1,1,0,0,1,85,5,0,7,501,6922.586
0,1,0,1,1,1,0,0,1,85,5,0,7,357,5088.518
0,1,0,0,1,0,1,0,1,85,5,0,7,6,102.369
0,1,0,1,1,0,1,0,1,85,5,0,7,6,102.633
0,1,0,0,1,0,0,1,1,85,5,0,7,5,89.797
0,1,0,1,1,0,0,1,1,85,5,0,7,5,89.27
1,1,1,0,0,0,0,0,1,85,5,0,8,140,2888.675
1,1,1,1,0,0,0,0,1,85,5,0,8,17,364.401
1,1,0,0,0,1,0,0,1,85,5,0,8,501,10245.963
1,1,0,1,0,1,0,0,1,85,5,0,8,298,6176.389
1,1,0,0,0,0,1,0,1,85,5,0,8,5,137.612
1,1,0,1,0,0,1,0,1,85,5,0,8,5,146.421
1,1,0,0,0,0,0,1,1,85,5,0,8,5,149.825
1,1,0,1,0,0,0,1,1,85,5,0,8,5,144.281
0,1,1,0,1,0,0,0,1,85,5,0,8,147,2253.189
0,1,1,1,1,0,0,0,1,85,5,0,8,17,279.191
0,1,0,0,1,1,0,0,1,85,5,0,8,501,8099.451
0,1,0,1,1,1,0,0,1,85,5,0,8,313,5570.503
0,1,0,0,1,0,1,0,1,85,5,0,8,5,143.578
0,1,0,1,1,0,1,0,1,85,5,0,8,6,176.389
0,1,0,0,1,0,0,1,1,85,5,0,8,5,150.138
0,1,0,1,1,0,0,1,1,85,5,0,8,5,178.803
1,1,1,0,0,0,0,0,1,85,5,1,0,501,2890.641
1,1,1,1,0,0,0,0,1,85,5,1,0,253,1367.735
1,1,0,0,0,1,0,0,1,85,5,1,0,501,2868.025
1,1,0,1,0,1,0,0,1,85,5,1,0,501,2796.644
1,1,0,0,0,0,1,0,1,85,5,1,0,6,46.968
1,1,0,1,0,0,1,0,1,85,5,1,0,11,86.388
1,1,0,0,0,0,0,1,1,85,5,1,0,8,61.104
1,1,0,1,0,0,0,1,1,85,5,1,0,8,61.906
0,1,1,0,1,0,0,0,1,85,5,1,0,501,2182.609
0,1,1,1,1,0,0,0,1,85,5,1,0,246,1060.856
0,1,0,0,1,1,0,0,1,85,5,1,0,501,2198.008
0,1,0,1,1,1,0,0,1,85,5,1,0,501,2192.068
0,1,0,0,1,0,1,0,1,85,5,1,0,8,41.512
0,1,0,1,1,0,1,0,1,85,5,1,0,11,56.406
0,1,0,0,1,0,0,1,1,85,5,1,0,8,40.943
0,1,0,1,1,0,0,1,1,85,5,1,0,8,41.109
1,1,1,0,0,0,0,0,1,85,5,1,1,501,3691.368
1,1,1,1,0,0,0,0,1,85,5,1,1,65,468.556
1,1,0,0,0,1,0,0,1,85,5,1,1,501,3791.308
1,1,0,1,0,1,0,0,1,85,5,1,1,501,3931.565
1,1,0,0,0,0,1,0,1,85,5,1,1,6,59.592
1,1,0,1,0,0,1,0,1,85,5,1,1,6,60.152
1,1,0,0,0,0,0,1,1,85,5,1,1,7,68.792
1,1,0,1,0,0,0,1,1,85,5,1,1,7,71.977
0,1,1,0,1,0,0,0,1,85,5,1,1,501,2906.175
0,1,1,1,1,0,0,0,1,85,5,1,1,99,568.246
0,1,0,0,1,1,0,0,1,85,5,1,1,501,3018.534
0,1,0,1,1,1,0,0,1,85,5,1,1,501,3046.503
0,1,0,0,1,0,1,0,1,85,5,1,1,7,50.94
0,1,0,1,1,0,1,0,1,85,5,1,1,7,52.643
0,1,0,0,1,0,0,1,1,85,5,1,1,7,51.506
0,1,0,1,1,0,0,1,1,85,5,1,1,7,50.449
1,1,1,0,0,0,0,0,1,85,5,1,2,373,3510.654
1,1,1,1,0,0,0,0,1,85,5,1,2,44,414.143
1,1,0,0,0,1,0,0,1,85,5,1,2,501,4891.162
1,1,0,1,0,1,0,0,1,85,5,1,2,501,4785.981
1,1,0,0,0,0,1,0,1,85,5,1,2,5,64.67
1,1,0,1,0,0,1,0,1,85,5,1,2,6,90.225
1,1,0,0,0,0,0,1,1,85,5,1,2,6,90.558
1,1,0,1,0,0,0,1,1,85,5,1,2,6,99.954
0,1,1,0,1,0,0,0,1,85,5,1,2,391,2776.807
0,1,1,1,1,0,0,0,1,85,5,1,2,59,419.953
0,1,0,0,1,1,0,0,1,85,5,1,2,501,3691.593
0,1,0,1,1,1,0,0,1,85,5,1,2,501,3697.041
0,1,0,0,1,0,1,0,1,85,5,1,2,6,55.825
0,1,0,1,1,0,1,0,1,85,5,1,2,6,59.993
0,1,0,0,1,0,0,1,1,85,5,1,2,6,54.64
0,1,0,1,1,0,0,1,1,85,5,1,2,6,57.619
1,1,1,0,0,0,0,0,1,85,5,1,3,280,3156.785
1,1,1,1,0,0,0,0,1,85,5,1,3,34,404.002
1,1,0,0,0,1,0,0,1,85,5,1,3,501,5734.788
1,1,0,1,0,1,0,0,1,85,5,1,3,501,5753.602
1,1,0,0,0,0,1,0,1,85,5,1,3,5,82.54
1,1,0,1,0,0,1,0,1,85,5,1,3,5,84.573
1,1,0,0,0,0,0,1,1,85,5,1,3,5,80.24
1,1,0,1,0,0,0,1,1,85,5,1,3,5,75.961
0,1,1,0,1,0,0,0,1,85,5,1,3,293,2612.983
0,1,1,1,1,0,0,0,1,85,5,1,3,34,279.309
0,1,0,0,1,1,0,0,1,85,5,1,3,501,4671.405
0,1,0,1,1,1,0,0,1,85,5,1,3,501,4523.451
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0,1,0,1,1,0,1,0,1,85,5,1,3,6,67.685
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1,1,0,1,0,0,0,1,1,75,20,0,3,7,96.36
0,1,1,0,1,0,0,0,1,75,20,0,3,31,231.236
0,1,1,1,1,0,0,0,1,75,20,0,3,13,97.97
0,1,0,0,1,1,0,0,1,75,20,0,3,88,659.38
0,1,0,1,1,1,0,0,1,75,20,0,3,63,469.443
0,1,0,0,1,0,1,0,1,75,20,0,3,8,80.328
0,1,0,1,1,0,1,0,1,75,20,0,3,9,91.736
0,1,0,0,1,0,0,1,1,75,20,0,3,9,87.777
0,1,0,1,1,0,0,1,1,75,20,0,3,9,88.345
1,1,1,0,0,0,0,0,1,75,20,0,4,21,233.512
1,1,1,1,0,0,0,0,1,75,20,0,4,9,103.97
1,1,0,0,0,1,0,0,1,75,20,0,4,73,847.49
1,1,0,1,0,1,0,0,1,75,20,0,4,44,494.947
1,1,0,0,0,0,1,0,1,75,20,0,4,6,95.686
1,1,0,1,0,0,1,0,1,75,20,0,4,6,102.606
1,1,0,0,0,0,0,1,1,75,20,0,4,6,96.714
1,1,0,1,0,0,0,1,1,75,20,0,4,6,96.376
0,1,1,0,1,0,0,0,1,75,20,0,4,24,205.945
0,1,1,1,1,0,0,0,1,75,20,0,4,11,102.504
0,1,0,0,1,1,0,0,1,75,20,0,4,73,661.515
0,1,0,1,1,1,0,0,1,75,20,0,4,47,422.834
0,1,0,0,1,0,1,0,1,75,20,0,4,7,86.815
0,1,0,1,1,0,1,0,1,75,20,0,4,8,104.266
0,1,0,0,1,0,0,1,1,75,20,0,4,8,94.571
0,1,0,1,1,0,0,1,1,75,20,0,4,8,92.607
1,1,1,0,0,0,0,0,1,75,20,0,5,17,221.275
1,1,1,1,0,0,0,0,1,75,20,0,5,8,110.381
1,1,0,0,0,1,0,0,1,75,20,0,5,52,710.203
1,1,0,1,0,1,0,0,1,75,20,0,5,36,488.94
1,1,0,0,0,0,1,0,1,75,20,0,5,6,120.204
1,1,0,1,0,0,1,0,1,75,20,0,5,6,115.342
1,1,0,0,0,0,0,1,1,75,20,0,5,6,109.478
1,1,0,1,0,0,0,1,1,75,20,0,5,6,108.641
0,1,1,0,1,0,0,0,1,75,20,0,5,19,197.284
0,1,1,1,1,0,0,0,1,75,20,0,5,10,100.997
0,1,0,0,1,1,0,0,1,75,20,0,5,52,565.383
0,1,0,1,1,1,0,0,1,75,20,0,5,38,402.876
0,1,0,0,1,0,1,0,1,75,20,0,5,7,103.958
0,1,0,1,1,0,1,0,1,75,20,0,5,7,101.298
0,1,0,0,1,0,0,1,1,75,20,0,5,7,99.061
0,1,0,1,1,0,0,1,1,75,20,0,5,7,101.472
1,1,1,0,0,0,0,0,1,75,20,0,6,14,211.058
1,1,1,1,0,0,0,0,1,75,20,0,6,7,107.775
1,1,0,0,0,1,0,0,1,75,20,0,6,49,756.224
1,1,0,1,0,1,0,0,1,75,20,0,6,30,466.05
1,1,0,0,0,0,1,0,1,75,20,0,6,6,129.425
1,1,0,1,0,0,1,0,1,75,20,0,6,6,125.605
1,1,0,0,0,0,0,1,1,75,20,0,6,6,127.158
1,1,0,1,0,0,0,1,1,75,20,0,6,6,127.67
0,1,1,0,1,0,0,0,1,75,20,0,6,17,194.755
0,1,1,1,1,0,0,0,1,75,20,0,6,9,103.313
0,1,0,0,1,1,0,0,1,75,20,0,6,49,609.407
0,1,0,1,1,1,0,0,1,75,20,0,6,32,382.15
0,1,0,0,1,0,1,0,1,75,20,0,6,6,97.475
0,1,0,1,1,0,1,0,1,75,20,0,6,7,115.541
0,1,0,0,1,0,0,1,1,75,20,0,6,7,112.581
0,1,0,1,1,0,0,1,1,75,20,0,6,7,109.94
1,1,1,0,0,0,0,0,1,75,20,0,7,13,217.862
1,1,1,1,0,0,0,0,1,75,20,0,7,7,117.209
1,1,0,0,0,1,0,0,1,75,20,0,7,38,705.409
1,1,0,1,0,1,0,0,1,75,20,0,7,26,453.619
1,1,0,0,0,0,1,0,1,75,20,0,7,5,124.73
1,1,0,1,0,0,1,0,1,75,20,0,7,6,147.557
1,1,0,0,0,0,0,1,1,75,20,0,7,5,119.86
1,1,0,1,0,0,0,1,1,75,20,0,7,5,118.439
0,1,1,0,1,0,0,0,1,75,20,0,7,15,196.418
0,1,1,1,1,0,0,0,1,75,20,0,7,9,117.088
0,1,0,0,1,1,0,0,1,75,20,0,7,38,509.559
0,1,0,1,1,1,0,0,1,75,20,0,7,28,382.574
0,1,0,0,1,0,1,0,1,75,20,0,7,6,106.838
0,1,0,1,1,0,1,0,1,75,20,0,7,7,124.099
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0,1,0,1,1,0,0,1,1,75,20,0,7,6,110.696
1,1,1,0,0,0,0,0,1,75,20,0,8,11,207.15
1,1,1,1,0,0,0,0,1,75,20,0,8,6,111.893
1,1,0,0,0,1,0,0,1,75,20,0,8,37,731.947
1,1,0,1,0,1,0,0,1,75,20,0,8,23,452.733
1,1,0,0,0,0,1,0,1,75,20,0,8,5,143.201
1,1,0,1,0,0,1,0,1,75,20,0,8,5,136.079
1,1,0,0,0,0,0,1,1,75,20,0,8,5,136.382
1,1,0,1,0,0,0,1,1,75,20,0,8,5,134.894
0,1,1,0,1,0,0,0,1,75,20,0,8,13,195.858
0,1,1,1,1,0,0,0,1,75,20,0,8,8,111.648
0,1,0,0,1,1,0,0,1,75,20,0,8,37,532.233
0,1,0,1,1,1,0,0,1,75,20,0,8,25,359.41
0,1,0,0,1,0,1,0,1,75,20,0,8,6,125.122
0,1,0,1,1,0,1,0,1,75,20,0,8,6,126.671
0,1,0,0,1,0,0,1,1,75,20,0,8,6,119.709
0,1,0,1,1,0,0,1,1,75,20,0,8,6,117.767
1,1,1,0,0,0,0,0,1,75,20,1,0,82,448.772
1,1,1,1,0,0,0,0,1,75,20,1,0,33,185.075
1,1,0,0,0,1,0,0,1,75,20,1,0,279,1561.204
1,1,0,1,0,1,0,0,1,75,20,1,0,175,982.168
1,1,0,0,0,0,1,0,1,75,20,1,0,12,90.812
1,1,0,1,0,0,1,0,1,75,20,1,0,12,93.636
1,1,0,0,0,0,0,1,1,75,20,1,0,9,69.128
1,1,0,1,0,0,0,1,1,75,20,1,0,9,69.494
0,1,1,0,1,0,0,0,1,75,20,1,0,89,396.418
0,1,1,1,1,0,0,0,1,75,20,1,0,43,187.883
0,1,0,0,1,1,0,0,1,75,20,1,0,277,1216.026
0,1,0,1,1,1,0,0,1,75,20,1,0,185,816.454
0,1,0,0,1,0,1,0,1,75,20,1,0,12,65.508
0,1,0,1,1,0,1,0,1,75,20,1,0,12,68.094
0,1,0,0,1,0,0,1,1,75,20,1,0,9,49.829
0,1,0,1,1,0,0,1,1,75,20,1,0,9,50.686
1,1,1,0,0,0,0,0,1,75,20,1,1,42,309.04
1,1,1,1,0,0,0,0,1,75,20,1,1,16,122.029
1,1,0,0,0,1,0,0,1,75,20,1,1,116,903.358
1,1,0,1,0,1,0,0,1,75,20,1,1,88,663.479
1,1,0,0,0,0,1,0,1,75,20,1,1,7,76.696
1,1,0,1,0,0,1,0,1,75,20,1,1,7,76.692
1,1,0,0,0,0,0,1,1,75,20,1,1,7,73.787
1,1,0,1,0,0,0,1,1,75,20,1,1,7,71.061
0,1,1,0,1,0,0,0,1,75,20,1,1,45,248.436
0,1,1,1,1,0,0,0,1,75,20,1,1,18,105.253
0,1,0,0,1,1,0,0,1,75,20,1,1,129,756.456
0,1,0,1,1,1,0,0,1,75,20,1,1,93,551.118
0,1,0,0,1,0,1,0,1,75,20,1,1,8,80.618
0,1,0,1,1,0,1,0,1,75,20,1,1,8,60.904
0,1,0,0,1,0,0,1,1,75,20,1,1,8,64.17
0,1,0,1,1,0,0,1,1,75,20,1,1,8,61.019
1,1,1,0,0,0,0,0,1,75,20,1,2,28,263.174
1,1,1,1,0,0,0,0,1,75,20,1,2,11,102.43
1,1,0,0,0,1,0,0,1,75,20,1,2,95,914.506
1,1,0,1,0,1,0,0,1,75,20,1,2,59,567.39
1,1,0,0,0,0,1,0,1,75,20,1,2,6,78.068
1,1,0,1,0,0,1,0,1,75,20,1,2,6,80.853
1,1,0,0,0,0,0,1,1,75,20,1,2,6,79.401
1,1,0,1,0,0,0,1,1,75,20,1,2,6,78.544
0,1,1,0,1,0,0,0,1,75,20,1,2,30,219.657
0,1,1,1,1,0,0,0,1,75,20,1,2,11,80.56
0,1,0,0,1,1,0,0,1,75,20,1,2,95,704.28
0,1,0,1,1,1,0,0,1,75,20,1,2,62,457.661
0,1,0,0,1,0,1,0,1,75,20,1,2,6,57.715
0,1,0,1,1,0,1,0,1,75,20,1,2,7,71.213
0,1,0,0,1,0,0,1,1,75,20,1,2,7,72.959
0,1,0,1,1,0,0,1,1,75,20,1,2,7,66.37
1,1,1,0,0,0,0,0,1,75,20,1,3,21,241.471
1,1,1,1,0,0,0,0,1,75,20,1,3,9,103.407
1,1,0,0,0,1,0,0,1,75,20,1,3,63,711.65
1,1,0,1,0,1,0,0,1,75,20,1,3,44,512.41
1,1,0,0,0,0,1,0,1,75,20,1,3,5,79.761
1,1,0,1,0,0,1,0,1,75,20,1,3,6,101.953
1,1,0,0,0,0,0,1,1,75,20,1,3,6,99.482
1,1,0,1,0,0,0,1,1,75,20,1,3,6,98.415
0,1,1,0,1,0,0,0,1,75,20,1,3,23,206.89
0,1,1,1,1,0,0,0,1,75,20,1,3,9,83.698
0,1,0,0,1,1,0,0,1,75,20,1,3,66,587.934
0,1,0,1,1,1,0,0,1,75,20,1,3,47,424.103
0,1,0,0,1,0,1,0,1,75,20,1,3,6,70.586
0,1,0,1,1,0,1,0,1,75,20,1,3,6,71.478
0,1,0,0,1,0,0,1,1,75,20,1,3,6

SS-N.csv

SS-O.csv

ss.png

Wine_quality.csv

xomo_flight.csv

xomo_ground.csv

xomo_osp.csv

xomo_osp2.csv