samples         : 50
k1              : 5
k2              : 15
%test           : 33
Contrast Method : BSquared
Case Relevancy  : 75% Overlap
Logging         : Off

Training results on 85663 historical examples (what looks useful):
#n	score	range
------	-----	--------------

Test results on 42097 new projects (applying the training results to new data):


---------------Queries---------------
Query #0 (size: 5)
	Score-Median: 0.019783806
	Score-Spread: 0.053881668
	Scores: 0.000 0.001 0.020 0.054 1.000 
	china-effort: 687 716 1754 3622 54620 
	china-effort-median: 1754
	china-effort-spread: 2906

STOPPING. No more treatments left:
STOPPING. Next query too small:
Query #1 (size: )
	Score-Median: 0
	Score-Spread: 0
	Scores: 
	china-effort: 
	china-effort-median: 0
	china-effort-spread: 0

STOPPING. No more treatments left:
STOPPING. Next query too small:
STOPPING. Next query shows no improvement:
Query #2 (size: )
	Score-Median: 0
	Score-Spread: 0
	Scores: 
	china-effort: 
	china-effort-median: 0
	china-effort-spread: 0

---------------Results---------------
Baseline (size: 5)
	Score-Median: 0.019783806
	Score-Spread: 0.053881668
	Scores: 0.000 0.001 0.020 0.054 1.000 
	china-effort: 687 716 1754 3622 54620 
	china-effort-median: 1754
	china-effort-spread: 2906

Final (size: )
	Score-Median: 0
	Score-Spread: 0
	Scores: 
	china-effort: 
	china-effort-median: 0
	china-effort-spread: 0


-----------Reduction Summary-----------
   score median:    0%
   score spread:    0%
china-effort median:    0%
china-effort spread:    0%
------------Recommendations------------