Changeset 9329:623016a5e0a4 in orange


Ignore:
Timestamp:
12/09/11 15:39:17 (2 years ago)
Author:
miha <miha.stajdohar@…>
Branch:
default
Convert:
78edeb943d3eac58011b58fa7e17dd8682393cf3
Message:

The results changed due to the updates in python random generator and moving the code to Orange/optimization/init.py.

File:
1 edited

Legend:

Unmodified
Added
Removed
  • testing/regressionTests/results/orange/modules/tuning1.py.txt

    r5824 r9329  
    1 *** orngWrap  1: [0.96959812703430903]: 
    2 *** orngWrap  2: [0.98542634384291805]: 
    3 *** orngWrap  3: [0.98609912168920677]: 
    4 *** orngWrap  4: [0.9923749145169789]: 
    5 *** orngWrap  5: [0.99226579520697178]: 
    6 *** orngWrap  10: [0.98929285455367577]: 
    7 *** orngWrap  15: [0.98696771637948111]: 
    8 *** orngWrap  20: [0.98386877780144533]: 
     1*** optimization  1: [0.97058829757682885]: 
     2*** optimization  2: [0.97642948164590782]: 
     3*** optimization  3: [0.98338801755375926]: 
     4*** optimization  4: [0.98788177744892502]: 
     5*** optimization  5: [0.98894238973780235]: 
     6*** optimization  10: [0.98692031923626455]: 
     7*** optimization  15: [0.98842239138206578]: 
     8*** optimization  20: [0.97804067310171638]: 
     9*** Optimal parameter: minSubset = 5 
     10Optimal setting:  5 
     11*** optimization  1: [0.98321908602150532]: 
     12*** optimization  2: [0.97819892473118264]: 
     13*** optimization  3: [0.9912679211469535]: 
     14*** optimization  4: [0.9937656810035842]: 
     15*** optimization  5: [0.99075044802867385]: 
     16*** optimization  10: [0.9872647849462366]: 
     17*** optimization  15: [0.98976926523297493]: 
     18*** optimization  20: [0.99105062724014337]: 
    919*** Optimal parameter: minSubset = 4 
    10 Optimal setting:  4 
    11 *** orngWrap  1: [0.9782347670250896]: 
    12 *** orngWrap  2: [0.98062500000000008]: 
    13 *** orngWrap  3: [0.98620743727598559]: 
    14 *** orngWrap  4: [0.99153673835125455]: 
    15 *** orngWrap  5: [0.98888888888888882]: 
    16 *** orngWrap  10: [0.98534722222222215]: 
    17 *** orngWrap  15: [0.98479166666666673]: 
    18 *** orngWrap  20: [0.9810416666666667]: 
     20*** optimization  1: [0.97296370967741941]: 
     21*** optimization  2: [0.97278673835125462]: 
     22*** optimization  3: [0.98086245519713267]: 
     23*** optimization  4: [0.98209901433691749]: 
     24*** optimization  5: [0.98543682795698928]: 
     25*** optimization  10: [0.98856854838709673]: 
     26*** optimization  15: [0.99162634408602157]: 
     27*** optimization  20: [0.98600806451612899]: 
     28*** Optimal parameter: minSubset = 15 
     29*** optimization  1: [0.98023073476702494]: 
     30*** optimization  2: [0.98306899641577061]: 
     31*** optimization  3: [0.98245295698924728]: 
     32*** optimization  4: [0.9896012544802868]: 
     33*** optimization  5: [0.98472670250896055]: 
     34*** optimization  10: [0.98965277777777783]: 
     35*** optimization  15: [0.98743503584229386]: 
     36*** optimization  20: [0.97437948028673826]: 
     37*** Optimal parameter: minSubset = 10 
     38*** optimization  1: [0.96825044802867388]: 
     39*** optimization  2: [0.97539202508960576]: 
     40*** optimization  3: [0.97483422939068098]: 
     41*** optimization  4: [0.98026657706093201]: 
     42*** optimization  5: [0.97956765232974918]: 
     43*** optimization  10: [0.9769332437275986]: 
     44*** optimization  15: [0.97734543010752684]: 
     45*** optimization  20: [0.9740815412186381]: 
    1946*** Optimal parameter: minSubset = 4 
    20 *** orngWrap  1: [0.96901209677419353]: 
    21 *** orngWrap  2: [0.97717741935483882]: 
    22 *** orngWrap  3: [0.98316532258064515]: 
    23 *** orngWrap  4: [0.98513888888888879]: 
    24 *** orngWrap  5: [0.98438396057347666]: 
    25 *** orngWrap  10: [0.9859251792114696]: 
    26 *** orngWrap  15: [0.98508512544802862]: 
    27 *** orngWrap  20: [0.98020161290322583]: 
     47*** optimization  1: [0.96364247311827955]: 
     48*** optimization  2: [0.974209229390681]: 
     49*** optimization  3: [0.97841621863799277]: 
     50*** optimization  4: [0.98721102150537632]: 
     51*** optimization  5: [0.98688396057347672]: 
     52*** optimization  10: [0.98780689964157697]: 
     53*** optimization  15: [0.98020833333333335]: 
     54*** optimization  20: [0.97671370967741944]: 
    2855*** Optimal parameter: minSubset = 10 
    29 *** orngWrap  1: [0.96897625448028668]: 
    30 *** orngWrap  2: [0.97722446236559146]: 
    31 *** orngWrap  3: [0.98268369175627235]: 
    32 *** orngWrap  4: [0.98345878136200726]: 
    33 *** orngWrap  5: [0.9878741039426524]: 
    34 *** orngWrap  10: [0.98923835125448034]: 
    35 *** orngWrap  15: [0.98454749103942651]: 
    36 *** orngWrap  20: [0.98475582437275988]: 
     56*** optimization  1: [0.97435707885304657]: 
     57*** optimization  2: [0.97433705471435883]: 
     58*** optimization  3: [0.97782107197717805]: 
     59*** optimization  4: [0.97559295223465736]: 
     60*** optimization  5: [0.98345644978421476]: 
     61*** optimization  10: [0.98451827774120404]: 
     62*** optimization  15: [0.98160682283666145]: 
     63*** optimization  20: [0.9802781892326824]: 
    3764*** Optimal parameter: minSubset = 10 
    38 *** orngWrap  1: [0.96380376344086027]: 
    39 *** orngWrap  2: [0.97685483870967738]: 
    40 *** orngWrap  3: [0.98239023297491035]: 
    41 *** orngWrap  4: [0.98645385304659505]: 
    42 *** orngWrap  5: [0.98593189964157701]: 
    43 *** orngWrap  10: [0.98387992831541227]: 
    44 *** orngWrap  15: [0.98270833333333329]: 
    45 *** orngWrap  20: [0.98588485663082437]: 
     65*** optimization  1: [0.9764701740911419]: 
     66*** optimization  2: [0.98519868700168234]: 
     67*** optimization  3: [0.98775030173359668]: 
     68*** optimization  4: [0.98942574610489364]: 
     69*** optimization  5: [0.98909228476336764]: 
     70*** optimization  10: [0.98262768817204293]: 
     71*** optimization  15: [0.98151337685611872]: 
     72*** optimization  20: [0.98251312083973374]: 
    4673*** Optimal parameter: minSubset = 4 
    47 *** orngWrap  1: [0.9757594086021506]: 
    48 *** orngWrap  2: [0.97583333333333344]: 
    49 *** orngWrap  3: [0.97455869175627252]: 
    50 *** orngWrap  4: [0.98291442652329741]: 
    51 *** orngWrap  5: [0.9873431899641576]: 
    52 *** orngWrap  10: [0.98260752688172048]: 
    53 *** orngWrap  15: [0.98792562724014343]: 
    54 *** orngWrap  20: [0.9811021505376345]: 
     74*** optimization  1: [0.98090168056469895]: 
     75*** optimization  2: [0.99166556945358786]: 
     76*** optimization  3: [0.98834444261575594]: 
     77*** optimization  4: [0.98837159863945589]: 
     78*** optimization  5: [0.99087895911052581]: 
     79*** optimization  10: [0.98963769109794453]: 
     80*** optimization  15: [0.98902969790066564]: 
     81*** optimization  20: [0.9841350760734402]: 
     82*** Optimal parameter: minSubset = 2 
     83*** optimization  1: [0.97177195340501799]: 
     84*** optimization  2: [0.97940412186379944]: 
     85*** optimization  3: [0.98024641577060934]: 
     86*** optimization  4: [0.98027105734767028]: 
     87*** optimization  5: [0.98310707885304649]: 
     88*** optimization  10: [0.98413978494623655]: 
     89*** optimization  15: [0.98651209677419371]: 
     90*** optimization  20: [0.97995519713261658]: 
    5591*** Optimal parameter: minSubset = 15 
    56 *** orngWrap  1: [0.96444599882963933]: 
    57 *** orngWrap  2: [0.96574633347962846]: 
    58 *** orngWrap  3: [0.97782600943603248]: 
    59 *** orngWrap  4: [0.97664965986394581]: 
    60 *** orngWrap  5: [0.9791922225879599]: 
    61 *** orngWrap  10: [0.98502189854436395]: 
    62 *** orngWrap  15: [0.98656087703898754]: 
    63 *** orngWrap  20: [0.98100198412698414]: 
    64 *** Optimal parameter: minSubset = 15 
    65 *** orngWrap  1: [0.97356109648160349]: 
    66 *** orngWrap  2: [0.99254343135103495]: 
    67 *** orngWrap  3: [0.99140621571209142]: 
    68 *** orngWrap  4: [0.99063844086021513]: 
    69 *** orngWrap  5: [0.99195244495647739]: 
    70 *** orngWrap  10: [0.9929946602296833]: 
    71 *** orngWrap  15: [0.99122736998025007]: 
    72 *** orngWrap  20: [0.99244925389510652]: 
     92*** optimization  1: [0.97084229390681009]: 
     93*** optimization  2: [0.97555107526881724]: 
     94*** optimization  3: [0.98384184587813628]: 
     95*** optimization  4: [0.97722222222222244]: 
     96*** optimization  5: [0.98428539426523298]: 
     97*** optimization  10: [0.989247311827957]: 
     98*** optimization  15: [0.987780017921147]: 
     99*** optimization  20: [0.98074148745519696]: 
    73100*** Optimal parameter: minSubset = 10 
    74 *** orngWrap  1: [0.97090062906883179]: 
    75 *** orngWrap  2: [0.96878483651525138]: 
    76 *** orngWrap  3: [0.98176889035183978]: 
    77 *** orngWrap  4: [0.98136095567259174]: 
    78 *** orngWrap  5: [0.98502706458927647]: 
    79 *** orngWrap  10: [0.98455928608002341]: 
    80 *** orngWrap  15: [0.97754882598200576]: 
    81 *** orngWrap  20: [0.97845891851364208]: 
    82 *** Optimal parameter: minSubset = 5 
    83 *** orngWrap  1: [0.97521505376344098]: 
    84 *** orngWrap  2: [0.97787186379928315]: 
    85 *** orngWrap  3: [0.97852598566308235]: 
    86 *** orngWrap  4: [0.98268817204301073]: 
    87 *** orngWrap  5: [0.98133288530465945]: 
    88 *** orngWrap  10: [0.99455645161290318]: 
    89 *** orngWrap  15: [0.9903830645161289]: 
    90 *** orngWrap  20: [0.99143145161290303]: 
    91 *** Optimal parameter: minSubset = 10 
    92 *** orngWrap  1: [0.97126792114695348]: 
    93 *** orngWrap  2: [0.9737051971326165]: 
    94 *** orngWrap  3: [0.9743705197132615]: 
    95 *** orngWrap  4: [0.98385080645161282]: 
    96 *** orngWrap  5: [0.9842025089605736]: 
    97 *** orngWrap  10: [0.98455869175627242]: 
    98 *** orngWrap  15: [0.97772401433691747]: 
    99 *** orngWrap  20: [0.97055555555555562]: 
    100 *** Optimal parameter: minSubset = 10 
    101 Untuned tree: 0.929 
    102 Tuned tree: 0.991 
    103 *** orngWrap  1: [0.96959812703430903]: 
    104 *** orngWrap  2: [0.98542634384291805]: 
    105 *** orngWrap  3: [0.98609912168920677]: 
    106 *** orngWrap  4: [0.9923749145169789]: 
    107 *** orngWrap  5: [0.99226579520697178]: 
    108 *** orngWrap  10: [0.98929285455367577]: 
    109 *** orngWrap  15: [0.98696771637948111]: 
    110 *** orngWrap  20: [0.98386877780144533]: 
    111 *** Optimal parameter: ['split.continuousSplitConstructor.minSubset', 'split.discreteSplitConstructor.minSubset'] = 4 
    112 Optimal setting:  4.0 
     101Untuned tree: 0.925 
     102Tuned tree: 0.983 
     103*** optimization  1: [0.97058829757682885]: 
     104*** optimization  2: [0.97642948164590782]: 
     105*** optimization  3: [0.98338801755375926]: 
     106*** optimization  4: [0.98788177744892502]: 
     107*** optimization  5: [0.98894238973780235]: 
     108*** optimization  10: [0.98692031923626455]: 
     109*** optimization  15: [0.98842239138206578]: 
     110*** optimization  20: [0.97804067310171638]: 
     111*** Optimal parameter: ['split.continuousSplitConstructor.minSubset', 'split.discreteSplitConstructor.minSubset'] = 5 
     112Optimal setting:  5.0 
Note: See TracChangeset for help on using the changeset viewer.