% 
% White Clover Persistence Trials
% -------------------------------
% 
% Data source:   Ian Tarbotton
% 	 AgResearch
% 	 Whatawhata Research Centre
%                Hamilton
%                New Zealand
% 
% The objective was to determine the mechanisms which influence the persistence
% of white clover populations in summer dry hill land. In particular reference
% to the consequence of a severe summer dry period in 1993/1994 and how it 
% impacted on the performance of three white clover cultivars in an on-going 
% experiment located at Whatawhata Research Centre.
% 
% The machine learning objective was to predict the amount of white clover in 
% 1994 from the amount of white clover and other species in the years 1991 to
% 1994 as well as information on the 'strata' where the white clover was being
% grown.
% 
% Number of Instances: 63
% 
% Attribute Information:
%  1.  strata - enumerated
%  2.  plot - enumerated
%  3.  paddock - enumerated
%  4.  WhiteClover-91 - white clover meaurement in 1991 - real
%  5.  BareGround-91 - bare ground meaurement in 1991 - real
%  6.  Cocksfoot-91 - cocksfoot meaurement in 1991 - real
%  7.  OtherGrasses-91 - other grasses meaurement in 1991 - real
%  8.  OtherLegumes-91 - other legumes meaurement in 1991 - real
%  9.  RyeGrass-91 - ryegrass meaurement in 1991 - real
%  10. Weeds-91 - weeds meaurement in 1991 - real
%  11. WhiteClover-92 - white clover meaurement in 1992 - real
%  12. BareGround-92 - bare ground meaurement in 1992 - real
%  13. Cocksfoot-92 - cocksfoot meaurement in 1992 - real
%  14. OtherGrasses-92 - other grasses meaurement in 1992 - real
%  15. OtherLegumes-92 - other legumes meaurement in 1992 - real
%  16. RyeGrass-92 - ryegrass meaurement in 1992 - real
%  17. Weeds-92 - weeds meaurement in 1992 - real
%  18. WhiteClover-93 - white clover meaurement in 1993 - real
%  19. BareGround-93 - bare ground meaurement in 1993 - real
%  20. Cocksfoot-93 - cocksfoot meaurement in 1993 - real
%  21. OtherGrasses-93 - other grasses meaurement in 1993 - real
%  22. OtherLegumes-93 - other legumes meaurement in 1993 - real
%  23. RyeGrass-93 - ryegrass meaurement in 1993 - real
%  24. Weeds-93 - weeds meaurement in 1993 - real
%  25. BareGround-94 - bare ground meaurement in 1994 - real
%  26. Cocksfoot-94 - cocksfoot meaurement in 1994 - real
%  27. OtherGrasses-94 - other grasses meaurement in 1994 - real
%  28. OtherLegumes-94 - other legumes meaurement in 1994 - real
%  29. RyeGrass-94 - ryegrass meaurement in 1994 - real
%  30. Weeds-94 - weeds meaurement in 1994 - real
%  31. strata-combined - enumerated
%  Class:
%  32.  WhiteClover-94 - white clover meaurement in 1994 - enumerated
% 
% Class Distribution:
%        0<=WhiteClover-94<8.8225  - 38
%   8.8225<=WhiteClover-94<17.645  - 20
%   17.645<=WhiteClover-94<26.4675 - 4
%  26.4675<=WhiteClover-94<=35.29  - 1
% 
@relation white-clover
@attribute strata {1_OldCamp,2_NewTrack,3_Easy,4_Moderate,5_Steep,6_OldEdge,7_NewEdge}
@attribute plot {huia,prop,tahora}
@attribute paddock {25,42,45}
@attribute WhiteClover-91 numeric
@attribute BareGround-91 numeric
@attribute Cocksfoot-91 numeric
@attribute OtherGrasses-91 numeric
@attribute OtherLegumes-91 numeric
@attribute RyeGrass-91 numeric
@attribute Weeds-91 numeric
@attribute WhiteClover-92 numeric
@attribute BareGround-92 numeric
@attribute Cocksfoot-92 numeric
@attribute OtherGrasses-92 numeric
@attribute OtherLegumes-92 numeric
@attribute RyeGrass-92 numeric
@attribute Weeds-92 numeric
@attribute WhiteClover-93 numeric
@attribute BareGround-93 numeric
@attribute Cocksfoot-93 numeric
@attribute OtherGrasses-93 numeric
@attribute OtherLegumes-93 numeric
@attribute RyeGrass-93 numeric
@attribute Weeds-93 numeric
@attribute BareGround-94 numeric
@attribute Cocksfoot-94 numeric
@attribute OtherGrasses-94 numeric
@attribute OtherLegumes-94 numeric
@attribute RyeGrass-94 numeric
@attribute Weeds-94 numeric
@attribute strata-combined {1,4,3}
@attribute WhiteClover-94 {0<=WhiteClover-94<8.8225,8.8225<=WhiteClover-94<17.645,17.645<=WhiteClover-94<26.4675,26.4675<=WhiteClover-94<=35.29}

@data
1_OldCamp,tahora,45,39,0,0,13,0,39,8,26.25,0.0,13.75,20.0,0.0,31.25,8.75,21.43,0,21.43,14.29,0.0,28.57,14.29,0,41.67,0.0,0.0,25.0,8.33,1,17.645<=WhiteClover-94<26.4675
6_OldEdge,prop,42,13,6,6,33,0,20,20,33.33,0.0,33.33,0.0,0.0,33.33,0.0,5.56,0,33.33,16.67,0.0,33.33,11.11,0,0.0,50.0,0.0,0.0,50.0,1,0<=WhiteClover-94<8.8225
6_OldEdge,prop,25,14,0,21,21,0,28,14,50.0,0.0,0.0,0.0,0.0,50.0,0.0,0.0,0,0.0,0.0,0.0,0.0,0.0,0,38.24,23.53,0.0,23.53,11.76,1,0<=WhiteClover-94<8.8225
7_NewEdge,tahora,42,26,0,33,20,0,13,6,13.33,0.0,35.56,22.22,2.22,24.44,2.22,0.0,0,0.0,0.0,0.0,0.0,0.0,0,16.67,50.0,16.67,0.0,16.67,1,0<=WhiteClover-94<8.8225
5_Steep,prop,42,24,5,14,31,2,12,9,15.95,3.42,29.34,7.98,1.42,22.79,19.09,17.23,0,10.97,36.81,5.48,13.58,15.4,1,15.57,32.51,7.65,4.64,30.33,4,0<=WhiteClover-94<8.8225
6_OldEdge,prop,45,20,0,20,20,0,40,0,33.33,0.0,0.0,0.0,0.0,33.33,33.33,0.0,0,45.45,9.09,0.0,36.36,9.09,0,0.0,0.0,0.0,0.0,0.0,1,0<=WhiteClover-94<8.8225
7_NewEdge,tahora,25,18,0,18,18,0,27,18,7.14,10.71,14.29,25.0,0.0,21.43,21.43,13.73,1,33.33,29.41,1.96,9.8,9.8,0,28.57,28.57,0.0,42.86,0.0,1,0<=WhiteClover-94<8.8225
5_Steep,prop,25,12,7,8,29,6,16,19,6.21,5.33,23.08,18.05,2.07,22.49,22.78,7.24,2,12.5,37.83,12.17,9.54,18.42,2,10.59,42.94,13.82,8.24,15.59,4,0<=WhiteClover-94<8.8225
5_Steep,prop,45,23,4,7,23,4,14,21,22.27,0.44,17.47,27.51,5.68,9.61,17.03,13.85,0,20.35,29.0,11.26,9.96,14.72,0,16.35,25.0,14.9,4.81,30.29,4,0<=WhiteClover-94<8.8225
7_NewEdge,tahora,45,12,8,16,12,4,25,20,18.75,0.0,50.0,12.5,0.0,6.25,12.5,15.15,0,39.39,18.18,6.06,9.09,12.12,0,0.0,0.0,0.0,0.0,0.0,1,0<=WhiteClover-94<8.8225
4_Moderate,prop,42,29,0,10,24,5,22,6,17.91,1.0,23.38,4.98,2.99,33.33,16.42,20.63,0,7.62,34.08,8.97,15.7,13.0,0,8.84,29.59,10.2,10.54,29.25,4,8.8225<=WhiteClover-94<17.645
4_Moderate,prop,25,18,2,10,19,10,25,13,15.98,2.37,19.53,9.47,2.37,36.09,14.2,15.22,1,7.61,36.23,13.04,12.68,14.13,1,14.94,38.51,12.07,13.22,13.79,4,0<=WhiteClover-94<8.8225
1_OldCamp,prop,42,8,0,0,30,0,47,13,14.29,0.0,28.57,0.0,0.0,57.14,0.0,15.38,7,0.0,15.38,0.0,46.15,15.38,0,5.88,11.76,5.88,23.53,17.65,1,26.4675<=WhiteClover-94<=35.29
4_Moderate,prop,45,26,0,8,23,4,19,16,27.65,0.28,13.41,25.42,3.91,15.08,14.25,17.8,0,12.15,27.97,10.45,16.1,15.54,0,11.02,28.81,15.25,7.34,26.84,4,8.8225<=WhiteClover-94<17.645
1_OldCamp,prop,25,32,0,6,9,0,45,6,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.9,0,25.81,19.35,0.0,41.94,0.0,3,16.39,26.23,4.92,45.9,1.64,1,0<=WhiteClover-94<8.8225
2_NewTrack,huia,42,15,5,5,40,0,35,0,22.22,0.0,16.67,11.11,0.0,50.0,0.0,17.74,0,12.9,23.39,11.29,20.97,13.71,0,14.29,14.29,0.0,42.86,28.57,1,0<=WhiteClover-94<8.8225
1_OldCamp,prop,45,28,0,10,17,0,35,7,50.0,0.0,50.0,0.0,0.0,0.0,0.0,26.92,0,15.38,15.38,0.0,34.62,7.69,0,0.0,14.29,14.29,28.57,28.57,1,8.8225<=WhiteClover-94<17.645
2_NewTrack,huia,25,33,0,0,14,0,38,14,27.59,0.0,10.34,27.59,0.0,31.03,3.45,26.67,0,3.33,30.0,3.33,33.33,3.33,0,0.0,0.0,0.0,75.0,0.0,1,17.645<=WhiteClover-94<26.4675
2_NewTrack,huia,45,14,0,4,27,3,29,20,40.0,0.0,0.0,0.0,0.0,60.0,0.0,23.26,0,18.6,4.65,0.0,41.86,11.63,0,0.0,0.0,25.0,50.0,0.0,1,17.645<=WhiteClover-94<26.4675
7_NewEdge,prop,42,20,10,15,30,0,15,10,0.0,0.0,25.0,0.0,0.0,62.5,12.5,25.0,0,50.0,0.0,0.0,12.5,12.5,0,0.0,0.0,0.0,0.0,0.0,1,0<=WhiteClover-94<8.8225
3_Easy,huia,42,15,1,10,25,2,34,9,20.3,2.26,16.54,18.8,1.5,32.33,8.27,18.03,0,10.66,24.59,5.74,25.41,15.57,0,14.59,31.35,5.41,22.16,20.0,3,0<=WhiteClover-94<8.8225
7_NewEdge,prop,25,7,0,7,42,7,21,14,0.0,0.0,100.0,0.0,0.0,0.0,0.0,0.0,0,0.0,0.0,0.0,0.0,0.0,0,25.0,50.0,0.0,25.0,0.0,1,0<=WhiteClover-94<8.8225
3_Easy,huia,25,26,0,4,12,6,35,13,15.0,2.5,5.0,27.5,10.0,28.75,11.25,16.67,0,6.41,34.62,8.97,17.95,15.38,3,15.62,18.75,15.62,21.88,15.62,3,8.8225<=WhiteClover-94<17.645
7_NewEdge,prop,45,14,0,14,29,4,9,26,21.43,0.0,26.19,21.43,2.38,16.67,11.9,8.33,0,58.33,16.67,0.0,16.67,0.0,0,0.0,0.0,0.0,0.0,0.0,1,0<=WhiteClover-94<8.8225
3_Easy,huia,45,17,1,7,15,4,26,26,24.65,1.41,14.08,5.63,1.41,40.85,11.97,18.59,0,17.95,18.59,5.13,26.28,13.46,0,15.27,25.19,13.74,16.79,15.27,3,8.8225<=WhiteClover-94<17.645
6_OldEdge,huia,42,12,0,25,50,0,12,0,9.68,3.23,38.71,16.13,0.0,25.81,6.45,0.0,0,33.33,33.33,0.0,0.0,33.33,0,42.86,28.57,0.0,21.43,7.14,1,0<=WhiteClover-94<8.8225
2_NewTrack,tahora,42,26,0,7,21,0,36,7,13.73,1.31,16.34,16.34,0.65,44.44,7.19,16.67,0,16.67,22.92,6.25,31.25,6.25,1,14.97,31.97,7.48,27.89,10.88,1,0<=WhiteClover-94<8.8225
6_OldEdge,huia,25,0,0,20,0,20,20,40,3.33,3.33,23.33,30.0,0.0,16.67,23.33,0.0,0,53.85,30.77,0.0,15.38,0.0,0,42.86,28.57,7.14,14.29,7.14,1,0<=WhiteClover-94<8.8225
5_Steep,huia,42,11,4,19,31,4,15,12,13.07,3.92,17.65,42.48,3.27,13.07,6.54,8.57,1,18.57,37.62,11.43,4.76,17.62,0,20.49,39.02,12.68,5.37,16.59,4,0<=WhiteClover-94<8.8225
2_NewTrack,tahora,25,38,0,0,15,0,46,0,6.82,3.03,24.24,25.0,3.03,32.58,5.3,22.4,0,21.88,20.83,9.9,18.23,6.25,14,14.29,14.29,7.14,42.86,7.14,1,0<=WhiteClover-94<8.8225
6_OldEdge,huia,45,0,0,28,0,0,57,14,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0,0.0,0.0,0.0,0.0,0.0,0,42.86,14.29,2.86,22.86,11.43,1,0<=WhiteClover-94<8.8225
5_Steep,huia,25,13,4,9,23,11,15,21,7.41,1.48,11.11,37.41,8.89,14.44,19.26,12.37,1,6.32,41.58,14.21,5.53,18.16,0,10.3,37.94,21.41,8.4,16.8,4,0<=WhiteClover-94<8.8225
2_NewTrack,tahora,45,28,0,9,20,2,27,11,33.33,0.0,33.33,0.0,0.0,33.33,0.0,16.34,0,11.88,21.29,11.88,22.28,16.34,0,8.54,24.91,12.81,18.51,22.06,1,8.8225<=WhiteClover-94<17.645
5_Steep,huia,45,10,7,12,27,2,14,24,15.51,4.62,22.44,13.2,1.32,19.47,23.43,8.02,0,19.41,35.02,8.44,10.55,17.72,0,13.69,36.5,14.45,5.32,19.39,4,8.8225<=WhiteClover-94<17.645
4_Moderate,huia,42,16,2,14,27,4,23,12,14.55,2.24,14.18,30.6,5.6,23.13,9.7,13.81,0,14.92,28.45,10.5,12.15,20.17,1,17.56,34.41,11.47,10.39,18.28,4,0<=WhiteClover-94<8.8225
3_Easy,tahora,42,26,2,10,21,0,29,8,20.0,0.0,15.0,20.0,0.0,30.0,15.0,16.08,0,19.58,18.18,10.49,23.78,11.19,0,16.88,35.06,6.49,16.88,16.88,3,0<=WhiteClover-94<8.8225
3_Easy,tahora,25,32,1,9,12,0,35,7,4.0,0.0,28.0,28.0,0.0,32.0,8.0,14.29,0,9.52,19.05,19.05,19.05,19.05,0,37.5,28.12,9.38,15.62,9.38,3,0<=WhiteClover-94<8.8225
4_Moderate,huia,25,16,0,8,17,15,24,17,14.53,1.69,10.81,28.04,11.82,23.65,9.46,16.33,0,5.98,33.86,17.53,9.16,17.13,1,7.43,30.2,22.28,10.89,17.82,4,8.8225<=WhiteClover-94<17.645
1_OldCamp,huia,42,9,2,14,21,0,48,2,15.38,0.0,19.23,5.77,0.0,55.77,3.85,5.26,0,26.32,15.79,0.0,47.37,5.26,0,13.33,20.0,2.22,44.44,8.89,1,8.8225<=WhiteClover-94<17.645
4_Moderate,huia,45,12,2,11,24,5,18,27,19.53,1.4,22.33,4.65,4.19,30.7,17.21,9.93,0,22.79,31.25,11.03,9.19,15.44,0,13.59,27.87,14.63,10.1,19.86,4,8.8225<=WhiteClover-94<17.645
3_Easy,tahora,45,25,1,2,23,1,24,20,32.29,0.35,12.5,19.1,1.74,23.61,10.42,16.51,0,10.09,22.02,7.34,17.43,26.61,0,6.25,22.92,15.62,12.5,33.33,3,8.8225<=WhiteClover-94<17.645
1_OldCamp,huia,25,25,0,14,3,3,42,10,18.18,0.0,24.24,12.12,0.0,45.45,0.0,31.25,0,6.25,25.0,0.0,37.5,0.0,0,18.18,22.73,6.82,36.36,4.55,1,8.8225<=WhiteClover-94<17.645
1_OldCamp,huia,45,25,0,0,31,0,31,12,0.0,0.0,20.0,0.0,0.0,80.0,0.0,14.29,0,17.14,8.57,4.29,50.0,5.71,0,21.74,13.04,4.35,47.83,2.9,1,8.8225<=WhiteClover-94<17.645
2_NewTrack,prop,42,28,0,10,25,0,30,5,25.0,0.0,16.67,0.0,0.0,58.33,0.0,16.67,0,11.11,5.56,0.0,50.0,16.67,0,8.47,26.46,6.35,26.46,18.52,1,8.8225<=WhiteClover-94<17.645
7_NewEdge,huia,42,0,0,50,25,0,0,25,0.0,0.0,0.0,0.0,0.0,0.0,0.0,7.69,0,34.62,19.23,3.85,15.38,19.23,0,100.0,0.0,0.0,0.0,0.0,1,0<=WhiteClover-94<8.8225
2_NewTrack,prop,25,21,0,9,9,3,42,15,17.65,0.0,5.88,0.0,0.0,76.47,0.0,13.33,0,16.67,20.0,0.0,43.33,6.67,0,20.0,0.0,0.0,60.0,0.0,1,17.645<=WhiteClover-94<26.4675
7_NewEdge,huia,25,6,6,25,6,0,31,25,0.0,0.0,0.0,0.0,0.0,0.0,0.0,12.5,0,12.5,31.25,0.0,31.25,12.5,0,42.86,14.29,0.0,14.29,14.29,1,8.8225<=WhiteClover-94<17.645
2_NewTrack,prop,45,23,1,6,23,2,30,12,33.12,0.0,10.0,15.62,1.25,33.12,6.88,31.71,0,9.76,14.63,4.88,24.39,14.63,0,11.36,22.35,15.15,18.94,21.97,1,8.8225<=WhiteClover-94<17.645
7_NewEdge,huia,45,13,9,13,21,0,21,21,0.0,0.0,0.0,0.0,0.0,100.0,0.0,0.0,0,0.0,0.0,0.0,0.0,0.0,0,27.27,9.09,0.0,40.91,9.09,1,8.8225<=WhiteClover-94<17.645
3_Easy,prop,42,29,0,8,26,0,26,8,25.29,1.15,20.69,2.3,1.15,40.23,9.2,20.16,0,7.26,23.39,5.65,30.65,12.9,0,10.61,27.27,6.06,19.7,25.76,3,8.8225<=WhiteClover-94<17.645
6_OldEdge,tahora,42,15,0,31,10,0,36,5,16.67,0.0,33.33,0.0,0.0,50.0,0.0,0.0,0,0.0,0.0,0.0,0.0,0.0,0,80.0,20.0,0.0,0.0,0.0,1,0<=WhiteClover-94<8.8225
3_Easy,prop,25,18,0,9,13,6,36,16,13.79,4.31,18.1,6.03,0.86,47.41,9.48,19.09,0,9.09,30.0,3.64,26.36,10.91,0,19.44,33.33,5.56,22.22,13.89,3,0<=WhiteClover-94<8.8225
6_OldEdge,tahora,25,0,0,0,0,0,0,0,13.33,0.0,40.0,13.33,0.0,20.0,13.33,5.88,0,23.53,35.29,5.88,17.65,11.76,0,60.0,22.86,2.86,11.43,2.86,1,0<=WhiteClover-94<8.8225
3_Easy,prop,45,27,0,6,19,3,24,19,30.34,0.0,10.11,20.22,5.62,25.84,7.87,21.52,0,16.46,20.89,6.33,24.05,10.13,0,9.55,23.6,18.54,17.98,22.47,3,0<=WhiteClover-94<8.8225
5_Steep,tahora,42,20,4,18,28,3,14,9,12.41,2.63,24.06,33.83,3.76,13.91,9.4,9.85,1,21.59,36.36,10.61,10.23,10.23,0,26.15,33.22,11.31,6.36,17.31,4,0<=WhiteClover-94<8.8225
6_OldEdge,tahora,45,0,33,0,33,0,33,0,20.83,0.0,41.67,12.5,4.17,12.5,8.33,0.0,0,40.0,20.0,0.0,0.0,40.0,0,0.0,0.0,0.0,0.0,0.0,1,0<=WhiteClover-94<8.8225
5_Steep,tahora,25,21,6,12,23,4,10,21,3.86,8.15,13.73,37.77,4.29,14.16,18.03,12.36,1,13.45,38.91,13.45,4.73,15.27,3,19.58,38.64,12.53,6.27,15.67,4,0<=WhiteClover-94<8.8225
5_Steep,tahora,45,23,3,10,22,3,17,19,20.97,4.84,19.35,26.61,4.84,8.87,14.52,9.62,1,14.78,29.9,11.34,6.53,26.8,0,14.51,26.5,13.25,4.73,30.91,4,8.8225<=WhiteClover-94<17.645
4_Moderate,tahora,42,26,0,14,24,2,19,11,16.09,0.87,20.43,26.09,3.48,23.48,9.57,14.95,0,13.62,28.57,10.96,18.94,12.62,0,14.29,32.05,12.74,12.36,22.78,4,0<=WhiteClover-94<8.8225
4_Moderate,tahora,25,29,0,10,19,2,24,12,10.73,3.9,20.98,24.88,6.83,22.93,9.76,18.37,0,11.22,31.12,14.29,9.69,14.8,1,23.24,31.69,13.38,15.49,9.15,4,0<=WhiteClover-94<8.8225
1_OldCamp,tahora,42,25,0,16,25,0,33,0,0.0,0.0,44.44,0.0,0.0,55.56,0.0,16.67,0,25.0,11.11,5.56,36.11,5.56,0,19.23,30.77,0.0,38.46,3.85,1,0<=WhiteClover-94<8.8225
4_Moderate,tahora,45,22,0,8,26,3,18,18,26.1,0.34,15.59,25.08,2.37,12.54,17.97,11.95,0,12.29,26.96,10.58,8.87,29.01,0,7.24,26.64,17.11,10.86,27.96,4,8.8225<=WhiteClover-94<17.645
1_OldCamp,tahora,25,25,0,0,25,0,50,0,5.56,8.33,19.44,13.89,2.78,44.44,5.56,20.59,0,35.29,2.94,2.94,35.29,2.94,0,26.09,21.74,6.52,39.13,2.17,1,0<=WhiteClover-94<8.8225