Changeset 10093:d2c5e215b278 in orange


Ignore:
Timestamp:
02/08/12 16:25:47 (2 years ago)
Author:
Miha Stajdohar <miha.stajdohar@…>
Branch:
default
rebase_source:
899fe7e90a91d14073f6f9fad2a30c0640d2a368
Message:

New printout.

File:
1 edited

Legend:

Unmodified
Added
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  • Orange/testing/regression/results_reference/optimization-tuning1.py.txt

    r9954 r10093  
    77*** optimization  15: [0.9884223913820658]: 
    88*** optimization  20: [0.9780406731017164]: 
    9 *** Optimal parameter: minSubset = 5 
     9*** Optimal parameter: min_subset = 5 
    1010Optimal setting:  5 
    1111*** optimization  1: [0.9832190860215053]: 
     
    1717*** optimization  15: [0.9897692652329749]: 
    1818*** optimization  20: [0.9910506272401434]: 
    19 *** Optimal parameter: minSubset = 4 
     19*** Optimal parameter: min_subset = 4 
    2020*** optimization  1: [0.9729637096774194]: 
    2121*** optimization  2: [0.9727867383512546]: 
     
    2626*** optimization  15: [0.9916263440860216]: 
    2727*** optimization  20: [0.986008064516129]: 
    28 *** Optimal parameter: minSubset = 15 
     28*** Optimal parameter: min_subset = 15 
    2929*** optimization  1: [0.9802307347670249]: 
    3030*** optimization  2: [0.9830689964157706]: 
     
    3535*** optimization  15: [0.9874350358422939]: 
    3636*** optimization  20: [0.9743794802867383]: 
    37 *** Optimal parameter: minSubset = 10 
     37*** Optimal parameter: min_subset = 10 
    3838*** optimization  1: [0.9682504480286739]: 
    3939*** optimization  2: [0.9763328853046596]: 
     
    4444*** optimization  15: [0.9773454301075268]: 
    4545*** optimization  20: [0.9740815412186381]: 
    46 *** Optimal parameter: minSubset = 4 
     46*** Optimal parameter: min_subset = 4 
    4747*** optimization  1: [0.9640591397849462]: 
    4848*** optimization  2: [0.9741397849462365]: 
     
    5353*** optimization  15: [0.9802083333333333]: 
    5454*** optimization  20: [0.9767137096774194]: 
    55 *** Optimal parameter: minSubset = 10 
     55*** Optimal parameter: min_subset = 10 
    5656*** optimization  1: [0.9743570788530466]: 
    5757*** optimization  2: [0.9743370547143588]: 
     
    6262*** optimization  15: [0.9816068228366615]: 
    6363*** optimization  20: [0.9802781892326824]: 
    64 *** Optimal parameter: minSubset = 10 
     64*** Optimal parameter: min_subset = 10 
    6565*** optimization  1: [0.9764701740911419]: 
    6666*** optimization  2: [0.9851986870016823]: 
     
    7171*** optimization  15: [0.9815133768561187]: 
    7272*** optimization  20: [0.9825131208397337]: 
    73 *** Optimal parameter: minSubset = 4 
     73*** Optimal parameter: min_subset = 4 
    7474*** optimization  1: [0.980901680564699]: 
    7575*** optimization  2: [0.9916655694535879]: 
     
    8080*** optimization  15: [0.9890296979006656]: 
    8181*** optimization  20: [0.9841350760734402]: 
    82 *** Optimal parameter: minSubset = 2 
     82*** Optimal parameter: min_subset = 2 
    8383*** optimization  1: [0.971771953405018]: 
    8484*** optimization  2: [0.9794041218637994]: 
     
    8989*** optimization  15: [0.9865120967741937]: 
    9090*** optimization  20: [0.9799551971326166]: 
    91 *** Optimal parameter: minSubset = 15 
     91*** Optimal parameter: min_subset = 15 
    9292*** optimization  1: [0.9708422939068101]: 
    9393*** optimization  2: [0.9755510752688172]: 
     
    9898*** optimization  15: [0.987780017921147]: 
    9999*** optimization  20: [0.980741487455197]: 
    100 *** Optimal parameter: minSubset = 10 
     100*** Optimal parameter: min_subset = 10 
    101101Untuned tree: 0.926 
    102102Tuned tree: 0.983 
     
    109109*** optimization  15: [0.9884223913820658]: 
    110110*** optimization  20: [0.9780406731017164]: 
    111 *** Optimal parameter: ['split.continuousSplitConstructor.minSubset', 'split.discreteSplitConstructor.minSubset'] = 5 
     111*** Optimal parameter: ['split.continuous_split_constructor.min_subset', 'split.discrete_split_constructor.min_subset'] = 5 
    112112Optimal setting:  5.0 
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