ex: decs +=1 when risk in before > risk in after
Without any tricks:
before:
w: both len: 500
percentile -risks -effort -defects -months #
25 0.0 7539.9 1746.4 55.3 #
50 0.3 12711.3 4332.0 65.2 #
75 0.5 18808.1 8054.3 74.5 #
100 2.4 39571.6 55458.4 98.6 #
after:
wced: gened len: 500
percentile -risks -effort -defects -months #
25 0.0 7171.9 1552.7 54.3 #
50 0.3 12265.8 3394.4 64.1 #
75 0.5 18948.0 6361.0 73.5 #
100 2.4 33062.2 32483.0 94.0 #
###########################################################################
decs: 11 incs: 1 sames: 4
With rounded off to 2 decimal places:
flight
before:
w: both len: 500
percentile -risks -effort -defects -months #
25 0.0 7539.9 1746.4 55.3 #
50 0.3 12711.3 4332.0 65.2 #
75 0.5 18808.1 8054.3 74.5 #
100 2.4 39571.6 55458.4 98.6 #
after:
wced: gened len: 500
percentile -risks -effort -defects -months #
25 0.0 8077.6 2545.1 56.2 #
50 0.3 13000.4 4821.2 66.0 #
75 0.5 19027.8 8807.1 74.1 #
100 2.1 37703.9 61617.7 97.4 #
###########################################################################
decs: 4 incs: 9 sames: 3
With pruned leaves more than 0.3*root variance:
flight
before:
w: both len: 500
percentile -risks -effort -defects -months #
25 0.0 7539.9 1746.4 55.3 #
50 0.3 12711.3 4332.0 65.2 #
75 0.5 18808.1 8054.3 74.5 #
100 2.4 39571.6 55458.4 98.6 #
after:
wced: gened len: 500
percentile -risks -effort -defects -months #
25 0.0 7167.8 1905.1 54.5 #
50 0.0 13112.5 3694.2 65.2 #
75 0.5 19143.8 9044.5 74.8 #
100 2.1 42055.8 47935.8 101.8 #
###########################################################################
decs: 6 incs: 7 sames: 3
With near=50:
flight
before:
w: both len: 500
percentile -risks -effort -defects -months #
25 0.0 7539.9 1746.4 55.3 #
50 0.3 12711.3 4332.0 65.2 #
75 0.5 18808.1 8054.3 74.5 #
100 2.4 39571.6 55458.4 98.6 #
after:
wced: gened len: 500
percentile -risks -effort -defects -months #
25 0.0 6628.1 2226.9 53.7 #
50 0.3 12449.1 4711.6 63.9 #
75 0.5 18024.6 8876.6 72.7 #
100 2.4 36447.5 43329.9 100.9 #
###########################################################################
decs: 8 incs: 4 sames: 4
With near=20:
flight
before:
w: both len: 500
percentile -risks -effort -defects -months #
25 0.0 7539.9 1746.4 55.3 #
50 0.3 12711.3 4332.0 65.2 #
75 0.5 18808.1 8054.3 74.5 #
100 2.4 39571.6 55458.4 98.6 #
after:
wced: gened len: 500
percentile -risks -effort -defects -months #
25 0.0 6445.3 1803.4 52.7 #
50 0.3 13185.8 4169.2 65.8 #
75 0.5 18991.1 9522.6 75.0 #
100 2.4 35222.3 43783.5 100.7 #
###########################################################################
decs: 5 incs: 7 sames: 4
With near=10:
Notice the decrease in defects to half and also no increases by only decreases. good sign.
flight
before:
w: both len: 500
percentile -risks -effort -defects -months #
25 0.0 7539.9 1746.4 55.3 #
50 0.3 12711.3 4332.0 65.2 #
75 0.5 18808.1 8054.3 74.5 #
100 2.4 39571.6 55458.4 98.6 #
after:
wced: gened len: 500
percentile -risks -effort -defects -months #
25 0.0 6576.3 1141.0 53.1 #
50 0.0 12201.7 2659.5 63.1 #
75 0.5 17473.0 4836.8 71.1 #
100 2.1 37588.2 24027.8 95.9 #
###########################################################################
decs: 14 incs: 0 sames: 2
With near=5:
flight
before:
w: both len: 500
percentile -risks -effort -defects -months #
25 0.0 7539.9 1746.4 55.3 #
50 0.3 12711.3 4332.0 65.2 #
75 0.5 18808.1 8054.3 74.5 #
100 2.4 39571.6 55458.4 98.6 #
after:
wced: gened len: 500
percentile -risks -effort -defects -months #
25 0.0 7270.6 1776.4 54.9 #
50 0.0 13055.3 4027.3 65.3 #
75 0.5 18314.6 7566.9 74.1 #
100 2.4 42903.9 48402.4 103.2 #
###########################################################################
decs: 8 incs: 5 sames: 3
Summing up:
?Without --Without seems to decs are 11 and incs are 1, different than what I saw in the mail. Perhaps my edits after generating flight.csv might have caused that.
-Roundoff ---for generating ptiles: few clusters are not having any rows left after pruning rows off that dont obey the conditions. Every row violates atleast one condition in few clusters.
-Prune --Pruned leaves with variances over 0.3 that of root. ~3-4 leaves get eliminated.
+near when n = 10 --Works for a range of n when n is neither too high for excessive learning nor too low for insufficient learning.
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