samples : 50 k1 : 5 k2 : 15 %test : 33 Contrast Method : BSquared Case Relevancy : 75% Overlap Logging : Off Training results on 42585 historical examples (what looks useful): #n score range ------ ----- -------------- 1 80.01 Input = vl 2 80.01 AFP = vl 3 80.00 File = vl 4 80.00 Enquiry = vl 5 60.01 Added = vl 6 60.00 Duration = vl 7 50.01 Deleted = vl 8 50.00 Dev.Type = vl 9 40.01 PDR_AFP = md 10 40.01 NPDR_AFP = md 11 40.01 Changed = lo 12 40.00 NPDU_UFP = md 13 35.56 Resource = vl 14 35.56 PDR_UFP = lo 15 35.56 Interface = vl 16 32.73 Output = vl 17 22.51 Changed = vl 18 22.50 PDR_AFP = lo 19 22.50 NPDU_UFP = lo 20 22.50 NPDR_AFP = lo 21 20.01 Resource = hi 22 20.01 Output = md 23 20.01 Output = lo 24 20.01 Enquiry = lo 25 20.01 Duration = lo 26 20.00 PDR_UFP = md 27 20.00 Interface = md 28 20.00 Added = lo 29 5.72 File = vh 30 3.34 Input = vh 31 3.34 AFP = vh 32 3.34 Added = vh 33 3.33 Duration = md Test results on 21303 new projects (applying the training results to new data): ---------------Queries--------------- Query #0 (size: 9) Score-Median: 0.2438039 Score-Spread: 0.47210999 Scores: 0.000 0.029 0.048 0.051 0.244 0.289 0.521 0.809 1.000 china-effort: 107 595 911 950 4150 4900 8740 13528 16690 china-effort-median: 4150 china-effort-spread: 7829 STOPPING. Next query too small: Query #1 (size: 2) Score-Median: 0.014713864 Score-Spread: 0.029427727 Scores: 0.000 0.029 china-effort: 107 595 china-effort-median: 351 china-effort-spread: 488 STOPPING. Next query too small: Query #2 (size: 1) Score-Median: 0 Score-Spread: 0 Scores: 0.000 china-effort: 107 china-effort-median: 107 china-effort-spread: 0 ---------------Results--------------- Baseline (size: 9) Score-Median: 0.2438039 Score-Spread: 0.47210999 Scores: 0.000 0.029 0.048 0.051 0.244 0.289 0.521 0.809 1.000 china-effort: 107 595 911 950 4150 4900 8740 13528 16690 china-effort-median: 4150 china-effort-spread: 7829 Final (size: 2) Score-Median: 0.014713864 Score-Spread: 0.029427727 Scores: 0.000 0.029 china-effort: 107 595 china-effort-median: 351 china-effort-spread: 488 -----------Reduction Summary----------- score median: 94% score spread: 94% china-effort median: 92% china-effort spread: 94% ------------Recommendations------------ AFP=vl