source: orange/Orange/testing/regression/results/orange/modules/tuning1.py.linux2.txt @ 9679:3879dea56188

Revision 9679:3879dea56188, 4.4 KB checked in by Miha Stajdohar <miha.stajdohar@…>, 2 years ago (diff)

Moved and renamed testing.

Line 
1*** orngWrap  1: [0.97389426388686473]:
2*** orngWrap  2: [0.98438566202162203]:
3*** orngWrap  3: [0.98933022418039074]:
4*** orngWrap  4: [0.98681431406181686]:
5*** orngWrap  5: [0.98934149735111632]:
6*** orngWrap  10: [0.98749332017922464]:
7*** orngWrap  15: [0.97869912592443098]:
8*** orngWrap  20: [0.97643577219973809]:
9*** Optimal parameter: minSubset = 5
10Optimal setting:  5
11*** orngWrap  1: [0.98227150537634411]:
12*** orngWrap  2: [0.98884632616487456]:
13*** orngWrap  3: [0.98196684587813621]:
14*** orngWrap  4: [0.98714157706093197]:
15*** orngWrap  5: [0.98870071684587824]:
16*** orngWrap  10: [0.99331541218638009]:
17*** orngWrap  15: [0.98403225806451622]:
18*** orngWrap  20: [0.98103718637992832]:
19*** Optimal parameter: minSubset = 10
20*** orngWrap  1: [0.9721774193548387]:
21*** orngWrap  2: [0.97903449820788524]:
22*** orngWrap  3: [0.97773297491039424]:
23*** orngWrap  4: [0.98494623655913971]:
24*** orngWrap  5: [0.98368055555555567]:
25*** orngWrap  10: [0.98751792114695336]:
26*** orngWrap  15: [0.98764336917562734]:
27*** orngWrap  20: [0.97993503584229402]:
28*** Optimal parameter: minSubset = 15
29*** orngWrap  1: [0.97510976702508967]:
30*** orngWrap  2: [0.98159722222222223]:
31*** orngWrap  3: [0.9877195340501792]:
32*** orngWrap  4: [0.98523969534050182]:
33*** orngWrap  5: [0.98771281362007168]:
34*** orngWrap  10: [0.98413306451612903]:
35*** orngWrap  15: [0.98579077060931897]:
36*** orngWrap  20: [0.98620743727598559]:
37*** Optimal parameter: minSubset = 3
38*** orngWrap  1: [0.98101478494623651]:
39*** orngWrap  2: [0.98487679211469537]:
40*** orngWrap  3: [0.97858870967741929]:
41*** orngWrap  4: [0.97706989247311826]:
42*** orngWrap  5: [0.98056227598566303]:
43*** orngWrap  10: [0.9883445340501793]:
44*** orngWrap  15: [0.9849955197132616]:
45*** orngWrap  20: [0.97957885304659498]:
46*** Optimal parameter: minSubset = 10
47*** orngWrap  1: [0.98168682795698925]:
48*** orngWrap  2: [0.97799955197132604]:
49*** orngWrap  3: [0.97411962365591387]:
50*** orngWrap  4: [0.97952956989247308]:
51*** orngWrap  5: [0.98509856630824366]:
52*** orngWrap  10: [0.98796818996415769]:
53*** orngWrap  15: [0.98650985663082436]:
54*** orngWrap  20: [0.98688396057347694]:
55*** Optimal parameter: minSubset = 10
56*** orngWrap  1: [0.96630568356374802]:
57*** orngWrap  2: [0.97954840538365873]:
58*** orngWrap  3: [0.98871493489869067]:
59*** orngWrap  4: [0.98763294565137882]:
60*** orngWrap  5: [0.98682562541145491]:
61*** orngWrap  10: [0.98980839916611818]:
62*** orngWrap  15: [0.98934916977543708]:
63*** orngWrap  20: [0.9792515635286374]:
64*** Optimal parameter: minSubset = 10
65*** orngWrap  1: [0.98249318813546926]:
66*** orngWrap  2: [0.98558659754224276]:
67*** orngWrap  3: [0.98151488552410227]:
68*** orngWrap  4: [0.98538201302026196]:
69*** orngWrap  5: [0.98703907907248922]:
70*** orngWrap  10: [0.98863081522931762]:
71*** orngWrap  15: [0.98741281727744856]:
72*** orngWrap  20: [0.98465748665057429]:
73*** Optimal parameter: minSubset = 10
74*** orngWrap  1: [0.9719187513715164]:
75*** orngWrap  2: [0.98035691427108484]:
76*** orngWrap  3: [0.98524586716407003]:
77*** orngWrap  4: [0.98530296796137806]:
78*** orngWrap  5: [0.98528710408894737]:
79*** orngWrap  10: [0.98397593445980536]:
80*** orngWrap  15: [0.97878424219150029]:
81*** orngWrap  20: [0.97961757552483364]:
82*** Optimal parameter: minSubset = 4
83*** orngWrap  1: [0.97421370967741927]:
84*** orngWrap  2: [0.97873207885304669]:
85*** orngWrap  3: [0.98434363799283142]:
86*** orngWrap  4: [0.98370295698924737]:
87*** orngWrap  5: [0.98571684587813613]:
88*** orngWrap  10: [0.98856182795698921]:
89*** orngWrap  15: [0.98699148745519705]:
90*** orngWrap  20: [0.98391353046594976]:
91*** Optimal parameter: minSubset = 10
92*** orngWrap  1: [0.97618951612903238]:
93*** orngWrap  2: [0.98268817204301073]:
94*** orngWrap  3: [0.98288754480286733]:
95*** orngWrap  4: [0.98426523297491042]:
96*** orngWrap  5: [0.98400313620071667]:
97*** orngWrap  10: [0.98561379928315396]:
98*** orngWrap  15: [0.98575268817204287]:
99*** orngWrap  20: [0.98252240143369174]:
100*** Optimal parameter: minSubset = 15
101Untuned tree: 0.930
102Tuned tree: 0.986
103*** orngWrap  1: [0.97389426388686473]:
104*** orngWrap  2: [0.98438566202162203]:
105*** orngWrap  3: [0.98933022418039074]:
106*** orngWrap  4: [0.98681431406181686]:
107*** orngWrap  5: [0.98934149735111632]:
108*** orngWrap  10: [0.98749332017922464]:
109*** orngWrap  15: [0.97869912592443098]:
110*** orngWrap  20: [0.97643577219973809]:
111*** Optimal parameter: ['split.continuousSplitConstructor.minSubset', 'split.discreteSplitConstructor.minSubset'] = 5
112Optimal setting:  5.0
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