source: orange/testing/regressionTests/results/orange25/mlc-evaluate.py.txt @ 9505:4b798678cd3d

Revision 9505:4b798678cd3d, 1.5 KB checked in by matija <matija.polajnar@…>, 2 years ago (diff)

Merge in the (heavily modified) MLC code from GSOC 2011 (modules, documentation, evaluation code, regression test). Widgets will be merged in a little bit later, which will finally close ticket #992.

Line 
1loss= [0.20489038785834737]
2accuracy= [0.5168634064080946]
3precision= [0.6790331646992694]
4recall= [0.594435075885329]
5
6loss= [0.2034851039910062]
7accuracy= [0.4852445193929173]
8precision= [0.6455874086565487]
9recall= [0.5486228218100055]
10
11loss= [0.21768018018018018]
12accuracy= [0.4780349099099102]
13precision= [0.6189752252252263]
14recall= [0.5553490990990999]
15
16loss= [0.2703766160764474]
17accuracy= [0.32192242833052276]
18precision= [0.47034851039910053]
19recall= [0.3797077009555932]
20
21loss= [0.24423833614390106]
22accuracy= [0.40668915120854426]
23precision= [0.5784148397976391]
24recall= [0.4710511523327713]
25
26loss= [0.22596964586846544]
27accuracy= [0.4644463181562672]
28precision= [0.6273187183811131]
29recall= [0.5348510399100616]
30
31loss= [0.2181000562113547]
32accuracy= [0.47976391231028676]
33precision= [0.6514896008993819]
34recall= [0.5483417650365374]
35
36loss= [0.22484541877459246]
37accuracy= [0.47372119168071913]
38precision= [0.6242270938729625]
39recall= [0.5489038785834737]
40
41loss= [0.21247892074198987]
42accuracy= [0.5081506464305793]
43precision= [0.6624508150646434]
44recall= [0.5868465430016865]
45
46loss= [0.2034851039910062]
47accuracy= [0.5223440134907252]
48precision= [0.6750983698707141]
49recall= [0.6011804384485666]
50
51loss= [0.20320404721753793]
52accuracy= [0.5168634064080946]
53precision= [0.6762225969645872]
54recall= [0.5888139404159641]
55
56loss= [0.20460933108487914]
57accuracy= [0.5036537380550874]
58precision= [0.6613265879707703]
59recall= [0.5674536256323779]
60
61loss= [0.20489038785834737]
62accuracy= [0.5168634064080946]
63precision= [0.6790331646992694]
64recall= [0.594435075885329]
65
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