source: orange/Orange/testing/regression/results_tests_20/modules_tuning1.py.txt @ 9951:3a012150ed26

Revision 9951:3a012150ed26, 4.6 KB checked in by Miha Stajdohar <miha.stajdohar@…>, 2 years ago (diff)

Moved and renamed test results.

Line 
1*** optimization  1: [0.9706992853681718]:
2*** optimization  2: [0.9743207136103917]:
3*** optimization  3: [0.9833880175537593]:
4*** optimization  4: [0.987881777448925]:
5*** optimization  5: [0.9889423897378024]:
6*** optimization  10: [0.9869203192362646]:
7*** optimization  15: [0.9884223913820658]:
8*** optimization  20: [0.9780406731017164]:
9*** Optimal parameter: minSubset = 5
10Optimal setting:  5
11*** optimization  1: [0.9832190860215053]:
12*** optimization  2: [0.9781989247311826]:
13*** optimization  3: [0.9912679211469535]:
14*** optimization  4: [0.9937656810035842]:
15*** optimization  5: [0.9907504480286738]:
16*** optimization  10: [0.9872647849462366]:
17*** optimization  15: [0.9897692652329749]:
18*** optimization  20: [0.9910506272401434]:
19*** Optimal parameter: minSubset = 4
20*** optimization  1: [0.9729637096774194]:
21*** optimization  2: [0.9727867383512546]:
22*** optimization  3: [0.9808624551971327]:
23*** optimization  4: [0.9820990143369175]:
24*** optimization  5: [0.9854368279569893]:
25*** optimization  10: [0.9885685483870967]:
26*** optimization  15: [0.9916263440860216]:
27*** optimization  20: [0.986008064516129]:
28*** Optimal parameter: minSubset = 15
29*** optimization  1: [0.9802307347670249]:
30*** optimization  2: [0.9830689964157706]:
31*** optimization  3: [0.9824529569892473]:
32*** optimization  4: [0.9896012544802868]:
33*** optimization  5: [0.9847267025089605]:
34*** optimization  10: [0.9896527777777778]:
35*** optimization  15: [0.9874350358422939]:
36*** optimization  20: [0.9743794802867383]:
37*** Optimal parameter: minSubset = 10
38*** optimization  1: [0.9682504480286739]:
39*** optimization  2: [0.9763328853046596]:
40*** optimization  3: [0.974834229390681]:
41*** optimization  4: [0.980266577060932]:
42*** optimization  5: [0.9795676523297492]:
43*** optimization  10: [0.9769332437275986]:
44*** optimization  15: [0.9773454301075268]:
45*** optimization  20: [0.9740815412186381]:
46*** Optimal parameter: minSubset = 4
47*** optimization  1: [0.9640591397849462]:
48*** optimization  2: [0.9741397849462365]:
49*** optimization  3: [0.9783467741935483]:
50*** optimization  4: [0.9872110215053763]:
51*** optimization  5: [0.9868839605734767]:
52*** optimization  10: [0.987806899641577]:
53*** optimization  15: [0.9802083333333333]:
54*** optimization  20: [0.9767137096774194]:
55*** Optimal parameter: minSubset = 10
56*** optimization  1: [0.9743570788530466]:
57*** optimization  2: [0.9743370547143588]:
58*** optimization  3: [0.977821071977178]:
59*** optimization  4: [0.9755929522346574]:
60*** optimization  5: [0.9834564497842148]:
61*** optimization  10: [0.984518277741204]:
62*** optimization  15: [0.9816068228366615]:
63*** optimization  20: [0.9802781892326824]:
64*** Optimal parameter: minSubset = 10
65*** optimization  1: [0.9764701740911419]:
66*** optimization  2: [0.9851986870016823]:
67*** optimization  3: [0.9877503017335967]:
68*** optimization  4: [0.9894257461048936]:
69*** optimization  5: [0.9890922847633676]:
70*** optimization  10: [0.9826276881720429]:
71*** optimization  15: [0.9815133768561187]:
72*** optimization  20: [0.9825131208397337]:
73*** Optimal parameter: minSubset = 4
74*** optimization  1: [0.980901680564699]:
75*** optimization  2: [0.9916655694535879]:
76*** optimization  3: [0.9883444426157559]:
77*** optimization  4: [0.9884388029405311]:
78*** optimization  5: [0.9908789591105258]:
79*** optimization  10: [0.9896376910979445]:
80*** optimization  15: [0.9890296979006656]:
81*** optimization  20: [0.9841350760734402]:
82*** Optimal parameter: minSubset = 2
83*** optimization  1: [0.971771953405018]:
84*** optimization  2: [0.9794041218637994]:
85*** optimization  3: [0.9802464157706093]:
86*** optimization  4: [0.9802710573476703]:
87*** optimization  5: [0.9831070788530465]:
88*** optimization  10: [0.9841397849462366]:
89*** optimization  15: [0.9865120967741937]:
90*** optimization  20: [0.9799551971326166]:
91*** Optimal parameter: minSubset = 15
92*** optimization  1: [0.9708422939068101]:
93*** optimization  2: [0.9755510752688172]:
94*** optimization  3: [0.9838418458781363]:
95*** optimization  4: [0.9772222222222224]:
96*** optimization  5: [0.984285394265233]:
97*** optimization  10: [0.989247311827957]:
98*** optimization  15: [0.987780017921147]:
99*** optimization  20: [0.980741487455197]:
100*** Optimal parameter: minSubset = 10
101Untuned tree: 0.926
102Tuned tree: 0.983
103*** optimization  1: [0.9706992853681718]:
104*** optimization  2: [0.9743207136103917]:
105*** optimization  3: [0.9833880175537593]:
106*** optimization  4: [0.987881777448925]:
107*** optimization  5: [0.9889423897378024]:
108*** optimization  10: [0.9869203192362646]:
109*** optimization  15: [0.9884223913820658]:
110*** optimization  20: [0.9780406731017164]:
111*** Optimal parameter: ['split.continuousSplitConstructor.minSubset', 'split.discreteSplitConstructor.minSubset'] = 5
112Optimal setting:  5.0
Note: See TracBrowser for help on using the repository browser.