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From James Kosin <james.ko...@gmail.com>
Subject Re: Tests for 1.5.1-rc2 and 1.5.0
Date Fri, 04 Mar 2011 00:43:28 GMT
Jeorn,

Here are the results for the RUN with 1.5.1...  I'll pass the other
results soon for 1.5.0.

James

--- 1.5.1-rc2 results ---
Preparing....
.\src\doccompare\model\english\namefind\eng.testa
.\src\doccompare\model\english\namefind\eng.testb
.\src\doccompare\model\english\namefind\eng.train
        3 file(s) copied.
Converting Training Data....
Converting Test Set A....
Converting Test Set B....
Training Model(s)....
Training Person Name Finder Model....
Indexing events using cutoff of 5

    Computing event counts...  done. 203621 events
    Indexing...  done.
Sorting and merging events... done. Reduced 203621 events to 180018.
Done indexing.
Incorporating indexed data for training... 
done.
    Number of Event Tokens: 180018
        Number of Outcomes: 3
      Number of Predicates: 58814
...done.
Computing model parameters...
Performing 100 iterations.
  1:  .. loglikelihood=-223700.53283185585    0.9453494482396216
  2:  .. loglikelihood=-42038.94913866343    0.9457521571940026
  3:  .. loglikelihood=-26580.25177270225    0.9570623855103354
  4:  .. loglikelihood=-20112.649882413047    0.9665358681079064
  5:  .. loglikelihood=-16410.704208752973    0.974693179976525
  6:  .. loglikelihood=-14030.19449155922    0.9804931711365723
  7:  .. loglikelihood=-12373.208743842035    0.9847167040727627
  8:  .. loglikelihood=-11148.914184913185    0.9874178007180006
  9:  .. loglikelihood=-10202.447925790631    0.9893036572848577
 10:  .. loglikelihood=-9445.00620199445    0.9906247390986195
 11:  .. loglikelihood=-8822.338722025588    0.9916216893149528
 12:  .. loglikelihood=-8299.483406250663    0.9921913751528575
 13:  .. loglikelihood=-7852.874901764335    0.9931686810299527
 14:  .. loglikelihood=-7466.020084149033    0.9935124569666194
 15:  .. loglikelihood=-7127.00275956159    0.9938807883273336
 16:  .. loglikelihood=-6826.977425357801    0.9941558090766669
 17:  .. loglikelihood=-6559.223719187018    0.9944308298260003
 18:  .. loglikelihood=-6318.532274818887    0.9946420064728098
 19:  .. loglikelihood=-6100.793781621507    0.9948924717980955
 20:  .. loglikelihood=-5902.716714580434    0.995000515663905
 21:  .. loglikelihood=-5721.628879632663    0.9951183816993335
 22:  .. loglikelihood=-5555.334941699954    0.9952657142436193
 23:  .. loglikelihood=-5402.01219392447    0.9953639359398098
 24:  .. loglikelihood=-5260.132986975945    0.9954474243815716
 25:  .. loglikelihood=-5128.406095567788    0.9955358239081431
 26:  .. loglikelihood=-5005.731770119502    0.9957028007916668
 27:  .. loglikelihood=-4891.166835802157    0.9957666448941906
 28:  .. loglikelihood=-4783.897276066098    0.995825577911905
 29:  .. loglikelihood=-4683.216466649738    0.9958894220144288
 30:  .. loglikelihood=-4588.507728883935    0.995958177201762
 31:  .. loglikelihood=-4499.23022319773    0.996041665643524
 32:  .. loglikelihood=-4414.907453343493    0.9961251540852859
 33:  .. loglikelihood=-4335.117830717925    0.9962233757814764
 34:  .. loglikelihood=-4259.486877788233    0.9962724866295716
 35:  .. loglikelihood=-4187.680744993026    0.9963461529017145
 36:  .. loglikelihood=-4119.400786906926    0.9964689300219526
 37:  .. loglikelihood=-4054.378997930129    0.9965180408700478
 38:  .. loglikelihood=-3992.37414985444    0.9965524184637145
 39:  .. loglikelihood=-3933.1685063600457    0.9965966182270002
 40:  .. loglikelihood=-3876.5650148883706    0.9966359069054763
 41:  .. loglikelihood=-3822.3848960059972    0.9966801066687621
 42:  .. loglikelihood=-3770.465565599791    0.9966948399231906
 43:  .. loglikelihood=-3720.6588371086527    0.9967292175168573
 44:  .. loglikelihood=-3672.829360337762    0.9967488618560953
 45:  .. loglikelihood=-3626.853260874168    0.996773417280143
 46:  .. loglikelihood=-3582.61695018332    0.9967930616193811
 47:  .. loglikelihood=-3540.01608144421    0.9968323502978573
 48:  .. loglikelihood=-3498.954630288144    0.9968716389763335
 49:  .. loglikelihood=-3459.344083008935    0.9968961944003811
 50:  .. loglikelihood=-3421.10271762066    0.9969600385029049
 51:  .. loglikelihood=-3384.154965455033    0.9969845939269525
 52:  .. loglikelihood=-3348.4308428952263    0.9970042382661907
 53:  .. loglikelihood=-3313.86544440817    0.9970287936902382
 54:  .. loglikelihood=-3280.3984893275688    0.9970582601990954
 55:  .. loglikelihood=-3247.973915908653    0.9970877267079525
 56:  .. loglikelihood=-3216.5395170620222    0.9971171932168097
 57:  .. loglikelihood=-3186.046612922314    0.9971564818952858
 58:  .. loglikelihood=-3156.449756035946    0.9971663040649049
 59:  .. loglikelihood=-3127.7064654883034    0.9971908594889525
 60:  .. loglikelihood=-3099.7769867512384    0.9972105038281907
 61:  .. loglikelihood=-3072.6240744268384    0.9972350592522382
 62:  .. loglikelihood=-3046.212795406062    0.9972547035914763
 63:  .. loglikelihood=-3020.5103502578463    0.9972645257610954
 64:  .. loglikelihood=-2995.48591092284    0.9972743479307145
 65:  .. loglikelihood=-2971.1104730122815    0.997289081185143
 66:  .. loglikelihood=-2947.3567212085068    0.997298903354762
 67:  .. loglikelihood=-2924.1989064356953    0.9973185476940001
 68:  .. loglikelihood=-2901.6127336228255    0.9973431031180477
 69:  .. loglikelihood=-2879.575259008768    0.9973774807117144
 70:  .. loglikelihood=-2858.064796060238    0.9973873028813335
 71:  .. loglikelihood=-2837.0608291716508    0.9974020361357621
 72:  .. loglikelihood=-2816.543934407786    0.9974511469838573
 73:  .. loglikelihood=-2796.495706628692    0.9974707913230954
 74:  .. loglikelihood=-2776.8986924048886    0.997495346747143
 75:  .. loglikelihood=-2757.73632819557    0.997505168916762
 76:  .. loglikelihood=-2738.9928833123317    0.9975149910863811
 77:  .. loglikelihood=-2720.6534072441577    0.9975149910863811
 78:  .. loglikelihood=-2702.7036809587917    0.9975199021711906
 79:  .. loglikelihood=-2685.130171834374    0.9975297243408097
 80:  .. loglikelihood=-2667.9199919110806    0.9975346354256192
 81:  .. loglikelihood=-2651.060859179115    0.9975395465104286
 82:  .. loglikelihood=-2634.5410616501285    0.9975542797648572
 83:  .. loglikelihood=-2618.349423979619    0.9975591908496668
 84:  .. loglikelihood=-2602.4752764328673    0.9975641019344763
 85:  .. loglikelihood=-2586.9084260031564    0.9975690130192858
 86:  .. loglikelihood=-2571.639129510152    0.9975739241040954
 87:  .. loglikelihood=-2556.6580685221975    0.997618123867381
 88:  .. loglikelihood=-2541.9563259582287    0.997618123867381
 89:  .. loglikelihood=-2527.5253642396733    0.997618123867381
 90:  .. loglikelihood=-2513.357004873627    0.9976230349521906
 91:  .. loglikelihood=-2499.4434093579353    0.9976279460370001
 92:  .. loglikelihood=-2485.7770613090283    0.9976328571218096
 93:  .. loglikelihood=-2472.350749721543    0.9977310788180002
 94:  .. loglikelihood=-2459.1575532766283    0.9977605453268572
 95:  .. loglikelihood=-2446.1908256218985    0.9977654564116668
 96:  .. loglikelihood=-2433.444181553359    0.9977801896660954
 97:  .. loglikelihood=-2420.911484034684    0.997794922920524
 98:  .. loglikelihood=-2408.5868319947976    0.9978047450901429
 99:  .. loglikelihood=-2396.464548848854    0.9978047450901429
100:  .. loglikelihood=-2384.539171692942    0.997824389429381
Writing name finder model ... done (1.591s)

Wrote name finder model to
path: C:\Users\James
Kosin\Documents\NetBeansProjects\thesis\DocCompare\enPerNameFinder.model

Training Location Name Finder Model....
Indexing events using cutoff of 5

    Computing event counts...  done. 203621 events
    Indexing...  done.
Sorting and merging events... done. Reduced 203621 events to 179938.
Done indexing.
Incorporating indexed data for training... 
done.
    Number of Event Tokens: 179938
        Number of Outcomes: 3
      Number of Predicates: 58913
...done.
Computing model parameters...
Performing 100 iterations.
  1:  .. loglikelihood=-223700.53283186432    0.9592527293353829
  2:  .. loglikelihood=-37662.12603751471    0.9593214845227163
  3:  .. loglikelihood=-23356.08071153895    0.9661282480687159
  4:  .. loglikelihood=-17675.957882519186    0.9719920833312871
  5:  .. loglikelihood=-14447.333965517006    0.9776152754381915
  6:  .. loglikelihood=-12399.637884661595    0.9817946086110961
  7:  .. loglikelihood=-10995.184956450741    0.9845988380373341
  8:  .. loglikelihood=-9968.20467325217    0.9865387165370959
  9:  .. loglikelihood=-9178.893119796985    0.9878794426900959
 10:  .. loglikelihood=-8548.790740050292    0.9887978155494768
 11:  .. loglikelihood=-8030.931283767397    0.989598322373429
 12:  .. loglikelihood=-7595.53119575614    0.9901581860417148
 13:  .. loglikelihood=-7222.768199918427    0.9906934942859528
 14:  .. loglikelihood=-6898.912608264196    0.9913122909719528
 15:  .. loglikelihood=-6614.130297299219    0.9917100888415242
 16:  .. loglikelihood=-6361.171280469142    0.9921471753895718
 17:  .. loglikelihood=-6134.554455784066    0.992486040241429
 18:  .. loglikelihood=-5930.04401110118    0.9927807053300003
 19:  .. loglikelihood=-5744.303923839544    0.9929771487223813
 20:  .. loglikelihood=-5574.664076504116    0.9931883253691908
 21:  .. loglikelihood=-5418.9576670007755    0.9934584350337146
 22:  .. loglikelihood=-5275.40516656032    0.9936843449349527
 23:  .. loglikelihood=-5142.529549900483    0.9938807883273336
 24:  .. loglikelihood=-5019.093179370174    0.9939888321931432
 25:  .. loglikelihood=-4904.050071382864    0.9941508979918574
 26:  .. loglikelihood=-4796.509305202512    0.9943227859601907
 27:  .. loglikelihood=-4695.706628493324    0.9944259187411908
 28:  .. loglikelihood=-4600.9821747731585    0.9945143182677622
 29:  .. loglikelihood=-4511.762795783466    0.9946027177943336
 30:  .. loglikelihood=-4427.547919649448    0.9947254949145716
 31:  .. loglikelihood=-4347.898132178477    0.9948237166107622
 32:  .. loglikelihood=-4272.425882448111    0.9949612269854288
 33:  .. loglikelihood=-4200.787860779963    0.9950447154271908
 34:  .. loglikelihood=-4132.6787045466035    0.9951478482081907
 35:  .. loglikelihood=-4067.8257666219033    0.9952902696676669
 36:  .. loglikelihood=-4005.9847405809505    0.9954425132967621
 37:  .. loglikelihood=-3946.935981480921    0.9955554682473812
 38:  .. loglikelihood=-3890.4813950799985    0.995638956689143
 39:  .. loglikelihood=-3836.4417944582397    0.9956831564524288
 40:  .. loglikelihood=-3784.654643183834    0.9957764670638097
 41:  .. loglikelihood=-3734.9721198992    0.9958403111663335
 42:  .. loglikelihood=-3687.2594515412793    0.995928710692905
 43:  .. loglikelihood=-3641.393472165865    0.9959778215410002
 44:  .. loglikelihood=-3597.2613721075218    0.9960367545587144
 45:  .. loglikelihood=-3554.759608415828    0.9960711321523812
 46:  .. loglikelihood=-3513.7929525109375    0.9961104208308573
 47:  .. loglikelihood=-3474.2736550480045    0.996144798424524
 48:  .. loglikelihood=-3436.1207112744914    0.9962086425270478
 49:  .. loglikelihood=-3399.2592128557644    0.9962773977143812
 50:  .. loglikelihood=-3363.6197743574157    0.9963117753080478
 51:  .. loglikelihood=-3329.1380243966846    0.996341241816905
 52:  .. loglikelihood=-3295.7541529885293    0.9963657972409525
 53:  .. loglikelihood=-3263.412507868779    0.9964050859194288
 54:  .. loglikelihood=-3232.0612336288277    0.9964149080890478
 55:  .. loglikelihood=-3201.651948375731    0.9964591078523335
 56:  .. loglikelihood=-3172.1394533738935    0.9964885743611906
 57:  .. loglikelihood=-3143.4814717496306    0.9965425962940954
 58:  .. loglikelihood=-3115.6384128688346    0.9965818849725716
 59:  .. loglikelihood=-3088.573159449086    0.9966113514814288
 60:  .. loglikelihood=-3062.2508748505807    0.996660462329524
 61:  .. loglikelihood=-3036.6388283175093    0.9966801066687621
 62:  .. loglikelihood=-3011.7062362225283    0.9966997510080001
 63:  .. loglikelihood=-2987.424117608252    0.9967390396864764
 64:  .. loglikelihood=-2963.7651625269987    0.996773417280143
 65:  .. loglikelihood=-2940.703611859834    0.9967881505345716
 66:  .. loglikelihood=-2918.2151474509133    0.9968176170434287
 67:  .. loglikelihood=-2896.2767915283175    0.9968372613826668
 68:  .. loglikelihood=-2874.8668144989206    0.9968519946370954
 69:  .. loglikelihood=-2853.9646503085137    0.996866727891524
 70:  .. loglikelihood=-2833.5508186459997    0.996886372230762
 71:  .. loglikelihood=-2813.6068533501725    0.996886372230762
 72:  .. loglikelihood=-2794.115236445356    0.9969109276548097
 73:  .. loglikelihood=-2775.059337292996    0.9969403941636669
 74:  .. loglikelihood=-2756.4233563994685    0.9969453052484764
 75:  .. loglikelihood=-2738.192273467185    0.9969600385029049
 76:  .. loglikelihood=-2720.3517993181667    0.9970042382661907
 77:  .. loglikelihood=-2702.8883313555925    0.9970287936902382
 78:  .. loglikelihood=-2685.7889122622523    0.9970484380294763
 79:  .. loglikelihood=-2669.0411916628514    0.9970680823687145
 80:  .. loglikelihood=-2652.633390505047    0.997092637792762
 81:  .. loglikelihood=-2636.5542679354057    0.9970975488775715
 82:  .. loglikelihood=-2620.7930904676896    0.9971270153864287
 83:  .. loglikelihood=-2605.3396032609685    0.9971368375560478
 84:  .. loglikelihood=-2590.1840033395197    0.9971663040649049
 85:  .. loglikelihood=-2575.3169146027462    0.997205592743381
 86:  .. loglikelihood=-2560.7293644868787    0.9972105038281907
 87:  .. loglikelihood=-2546.4127621517746    0.9972252370826192
 88:  .. loglikelihood=-2532.358878077676    0.9972399703370477
 89:  .. loglikelihood=-2518.559824965999    0.9972547035914763
 90:  .. loglikelihood=-2505.0080398480795    0.9972694368459049
 91:  .. loglikelihood=-2491.6962673129437    0.997298903354762
 92:  .. loglikelihood=-2478.6175437732845    0.9973038144395716
 93:  .. loglikelihood=-2465.765182695122    0.9973136366091906
 94:  .. loglikelihood=-2453.132760722479    0.9973431031180477
 95:  .. loglikelihood=-2440.7141046344486    0.9973627474572858
 96:  .. loglikelihood=-2428.5032790768046    0.9973725696269049
 97:  .. loglikelihood=-2416.494575014507    0.9973873028813335
 98:  .. loglikelihood=-2404.682498856056    0.9974069472205715
 99:  .. loglikelihood=-2393.0617622045065    0.997411858305381
100:  .. loglikelihood=-2381.6272721929636    0.9974315026446192
Writing name finder model ... done (1.560s)

Wrote name finder model to
path: C:\Users\James
Kosin\Documents\NetBeansProjects\thesis\DocCompare\enLocNameFinder.model

Training Organization Name Finder Model....
Indexing events using cutoff of 5

    Computing event counts...  done. 203621 events
    Indexing...  done.
Sorting and merging events... done. Reduced 203621 events to 180049.
Done indexing.
Incorporating indexed data for training... 
done.
    Number of Event Tokens: 180049
        Number of Outcomes: 3
      Number of Predicates: 58958
...done.
Computing model parameters...
Performing 100 iterations.
  1:  .. loglikelihood=-223700.5328318717    0.03104296708099852
  2:  .. loglikelihood=-43104.798167910296    0.9507663747845262
  3:  .. loglikelihood=-29286.53127643238    0.9520432568350022
  4:  .. loglikelihood=-23159.798464138574    0.9582361347798115
  5:  .. loglikelihood=-19373.977770278045    0.9671202872002397
  6:  .. loglikelihood=-16826.38416185996    0.9737158740994298
  7:  .. loglikelihood=-15002.08899851971    0.9781702280216678
  8:  .. loglikelihood=-13626.671649550404    0.9812642114516675
  9:  .. loglikelihood=-12546.830774753067    0.9833907111741913
 10:  .. loglikelihood=-11672.062042742995    0.9850850354334769
 11:  .. loglikelihood=-10945.882902420324    0.9865927384700006
 12:  .. loglikelihood=-10331.24624492741    0.9877271990610006
 13:  .. loglikelihood=-9802.796017782326    0.988547350224191
 14:  .. loglikelihood=-9342.54289262838    0.9891465025709529
 15:  .. loglikelihood=-8937.331267426849    0.9896768997303814
 16:  .. loglikelihood=-8577.29002592075    0.990123808448048
 17:  .. loglikelihood=-8254.84819764199    0.9905412506568576
 18:  .. loglikelihood=-7964.088486777022    0.9909832482897147
 19:  .. loglikelihood=-7700.310230042259    0.9912533579542385
 20:  .. loglikelihood=-7459.726155216245    0.9915873117212861
 21:  .. loglikelihood=-7239.246921380665    0.9918181327073338
 22:  .. loglikelihood=-7036.324726841378    0.9921324421351432
 23:  .. loglikelihood=-6848.837651671443    0.9924025517996671
 24:  .. loglikelihood=-6675.0027290673415    0.9926088173616671
 25:  .. loglikelihood=-6513.309670518359    0.9927807053300003
 26:  .. loglikelihood=-6362.469678104907    0.9929575043831432
 27:  .. loglikelihood=-6221.375428817077    0.9931539477755241
 28:  .. loglikelihood=-6089.069440063417    0.9933503911679051
 29:  .. loglikelihood=-5964.718815880034    0.9934928126273813
 30:  .. loglikelihood=-5847.594938442773    0.9935959454083813
 31:  .. loglikelihood=-5737.05706393788    0.9937432779526669
 32:  .. loglikelihood=-5632.53903696372    0.9938267663944289
 33:  .. loglikelihood=-5533.5384909239865    0.9939446324298574
 34:  .. loglikelihood=-5439.608003893582    0.9940575873804764
 35:  .. loglikelihood=-5350.347772712337    0.9941754534159051
 36:  .. loglikelihood=-5265.399465953896    0.9942638529424764
 37:  .. loglikelihood=-5184.441008207418    0.9943326081298098
 38:  .. loglikelihood=-5107.1821199976985    0.9944210076563812
 39:  .. loglikelihood=-5033.3604858737535    0.9945143182677622
 40:  .. loglikelihood=-4962.738452799086    0.9946174510487622
 41:  .. loglikelihood=-4895.100179345764    0.9947009394905241
 42:  .. loglikelihood=-4830.249168876843    0.9947647835930479
 43:  .. loglikelihood=-4768.006129878778    0.9948188055259526
 44:  .. loglikelihood=-4708.207115079554    0.9948826496284764
 45:  .. loglikelihood=-4650.701898378942    0.9949121161373335
 46:  .. loglikelihood=-4595.352554994319    0.9949415826461907
 47:  .. loglikelihood=-4542.032215689325    0.995000515663905
 48:  .. loglikelihood=-4490.623970552434    0.9950398043423812
 49:  .. loglikelihood=-4441.019901644037    0.9950840041056669
 50:  .. loglikelihood=-4393.120227043966    0.9951380260385717
 51:  .. loglikelihood=-4346.832541495157    0.995206781225905
 52:  .. loglikelihood=-4302.071141067969    0.9952608031588097
 53:  .. loglikelihood=-4258.756421117782    0.9952853585828574
 54:  .. loglikelihood=-4216.814338360093    0.9953442916005717
 55:  .. loglikelihood=-4176.175929190314    0.9953737581094287
 56:  .. loglikelihood=-4136.776877464915    0.9954228689575241
 57:  .. loglikelihood=-4098.557125892241    0.9954572465511907
 58:  .. loglikelihood=-4061.4605259603427    0.9955407349929526
 59:  .. loglikelihood=-4025.434521998867    0.9955554682473812
 60:  .. loglikelihood=-3990.42986554066    0.9955849347562383
 61:  .. loglikelihood=-3956.4003566345923    0.995619312349905
 62:  .. loglikelihood=-3923.3026091813663    0.9956635121131907
 63:  .. loglikelihood=-3891.0958377209377    0.9956929786220479
 64:  .. loglikelihood=-3859.7416634139117    0.9957273562157145
 65:  .. loglikelihood=-3829.203937224147    0.9957420894701431
 66:  .. loglikelihood=-3799.4485785473858    0.9957617338093812
 67:  .. loglikelihood=-3770.443427728819    0.9958403111663335
 68:  .. loglikelihood=-3742.158111091743    0.9958648665903812
 69:  .. loglikelihood=-3714.563917254658    0.9958746887600002
 70:  .. loglikelihood=-3687.6336836449864    0.9959090663536668
 71:  .. loglikelihood=-3661.3416922416354    0.995958177201762
 72:  .. loglikelihood=-3635.6635736777685    0.9960072880498574
 73:  .. loglikelihood=-3610.576218931365    0.9960269323890955
 74:  .. loglikelihood=-3586.057697907435    0.9960662210675716
 75:  .. loglikelihood=-3562.0871842926495    0.9960858654068097
 76:  .. loglikelihood=-3538.6448861204485    0.9960956875764287
 77:  .. loglikelihood=-3515.711981547336    0.9961055097460478
 78:  .. loglikelihood=-3493.270559386285    0.9961300651700954
 79:  .. loglikelihood=-3471.3035639882883    0.9961546205941431
 80:  .. loglikelihood=-3449.7947441072415    0.9961693538485716
 81:  .. loglikelihood=-3428.728605409833    0.9962086425270478
 82:  .. loglikelihood=-3408.0903663339095    0.996247931205524
 83:  .. loglikelihood=-3387.86591701937    0.9962773977143812
 84:  .. loglikelihood=-3368.0417810638646    0.9962872198840002
 85:  .. loglikelihood=-3348.6050798796628    0.9963068642232382
 86:  .. loglikelihood=-3329.543499444723    0.9963265085624764
 87:  .. loglikelihood=-3310.845259263271    0.9963657972409525
 88:  .. loglikelihood=-3292.499083364898    0.9963756194105716
 89:  .. loglikelihood=-3274.494173187145    0.9964050859194288
 90:  .. loglikelihood=-3256.8201822008978    0.9964050859194288
 91:  .. loglikelihood=-3239.4671921469867    0.9964492856827144
 92:  .. loglikelihood=-3222.425690767618    0.996464018937143
 93:  .. loglikelihood=-3205.68655092176    0.9964738411067621
 94:  .. loglikelihood=-3189.241010986442    0.9965082187004287
 95:  .. loglikelihood=-3173.0806564517393    0.9965180408700478
 96:  .. loglikelihood=-3157.197402624764    0.9965278630396668
 97:  .. loglikelihood=-3141.5834783655473    0.9965327741244764
 98:  .. loglikelihood=-3126.2314107842076    0.9965622406333335
 99:  .. loglikelihood=-3111.134010832497    0.9965867960573811
100:  .. loglikelihood=-3096.2843597294727    0.9966015293118097
Writing name finder model ... done (1.654s)

Wrote name finder model to
path: C:\Users\James
Kosin\Documents\NetBeansProjects\thesis\DocCompare\enOrgNameFinder.model

Training Misc Name Finder Model....
Indexing events using cutoff of 5

    Computing event counts...  done. 203621 events
    Indexing...  done.
Sorting and merging events... done. Reduced 203621 events to 179892.
Done indexing.
Incorporating indexed data for training... 
done.
    Number of Event Tokens: 179892
        Number of Outcomes: 3
      Number of Predicates: 58894
...done.
Computing model parameters...
Performing 100 iterations.
  1:  .. loglikelihood=-223700.53283186362    0.9774433874698583
  2:  .. loglikelihood=-31242.172607256707    0.9774433874698583
  3:  .. loglikelihood=-18900.381225016852    0.9774630318090963
  4:  .. loglikelihood=-14251.331904001141    0.9791278895595248
  5:  .. loglikelihood=-11552.731072809765    0.9823053614312866
  6:  .. loglikelihood=-9825.621104074655    0.9854926554726674
  7:  .. loglikelihood=-8641.88181464453    0.9876731771280959
  8:  .. loglikelihood=-7781.162199852278    0.9891907023342386
  9:  .. loglikelihood=-7124.888646221066    0.9903988291973814
 10:  .. loglikelihood=-6605.481965810962    0.9913172020567623
 11:  .. loglikelihood=-6182.117266254538    0.9918917989794765
 12:  .. loglikelihood=-5828.830928712951    0.9924762180718099
 13:  .. loglikelihood=-5528.371916033501    0.9929525932983336
 14:  .. loglikelihood=-5268.841532498251    0.9934093241856193
 15:  .. loglikelihood=-5041.763923409165    0.9937039892741908
 16:  .. loglikelihood=-4840.930164023643    0.9939446324298574
 17:  .. loglikelihood=-4661.679790755253    0.9943571635538574
 18:  .. loglikelihood=-4500.439345898545    0.9945437847766193
 19:  .. loglikelihood=-4354.417125979323    0.9947156727449527
 20:  .. loglikelihood=-4221.395835069608    0.9948433609500003
 21:  .. loglikelihood=-4099.588362979002    0.995093826275286
 22:  .. loglikelihood=-3987.535328846073    0.9952116923107145
 23:  .. loglikelihood=-3884.0309116401763    0.9953442916005717
 24:  .. loglikelihood=-3788.0682438134363    0.995526001738524
 25:  .. loglikelihood=-3698.7985878640948    0.9956242234347145
 26:  .. loglikelihood=-3615.500384403541    0.995732267300524
 27:  .. loglikelihood=-3537.555476409893    0.9958304889967144
 28:  .. loglikelihood=-3464.430623346545    0.9959729104561906
 29:  .. loglikelihood=-3395.66296619553    0.9960711321523812
 30:  .. loglikelihood=-3330.8484791919172    0.9961497095093336
 31:  .. loglikelihood=-3269.632703357095    0.9962233757814764
 32:  .. loglikelihood=-3211.7032391774933    0.9963019531384287
 33:  .. loglikelihood=-3156.7836068130027    0.9963903526650002
 34:  .. loglikelihood=-3104.6281786919626    0.996454196767524
 35:  .. loglikelihood=-3055.017961469873    0.9965376852092859
 36:  .. loglikelihood=-3007.7570582812737    0.9966309958206668
 37:  .. loglikelihood=-2962.6696822185963    0.9967193953472383
 38:  .. loglikelihood=-2919.5976213229915    0.9968077948738097
 39:  .. loglikelihood=-2878.398076844545    0.9968618168067145
 40:  .. loglikelihood=-2838.9418123709233    0.9968961944003811
 41:  .. loglikelihood=-2801.1115633330446    0.9969502163332858
 42:  .. loglikelihood=-2764.8006655709796    0.9970238826054287
 43:  .. loglikelihood=-2729.91186887577    0.9970680823687145
 44:  .. loglikelihood=-2696.3563072348907    0.9971073710471906
 45:  .. loglikelihood=-2664.0526022410513    0.9971417486408573
 46:  .. loglikelihood=-2632.9260800051907    0.9971712151497144
 47:  .. loglikelihood=-2602.908085116955    0.997205592743381
 48:  .. loglikelihood=-2573.9353778411028    0.9972350592522382
 49:  .. loglikelihood=-2545.9496029300094    0.9972497925066668
 50:  .. loglikelihood=-2518.8968202478814    0.9973038144395716
 51:  .. loglikelihood=-2492.7270889126607    0.9973185476940001
 52:  .. loglikelihood=-2467.394097914627    0.9973381920332383
 53:  .. loglikelihood=-2442.854837218664    0.9973725696269049
 54:  .. loglikelihood=-2419.0693042318367    0.9974020361357621
 55:  .. loglikelihood=-2396.0002412488184    0.9974560580686668
 56:  .. loglikelihood=-2373.6129001071517    0.9974757024079048
 57:  .. loglikelihood=-2351.874830801363    0.9974904356623334
 58:  .. loglikelihood=-2330.7556912457712    0.9975248132560001
 59:  .. loglikelihood=-2310.2270757488827    0.9975591908496668
 60:  .. loglikelihood=-2290.2623600799634    0.9976033906129524
 61:  .. loglikelihood=-2270.8365612794005    0.9976377682066192
 62:  .. loglikelihood=-2251.926210597823    0.9976525014610478
 63:  .. loglikelihood=-2233.5092381480827    0.9976672347154762
 64:  .. loglikelihood=-2215.564868026729    0.9976967012243334
 65:  .. loglikelihood=-2198.073522810981    0.9977261677331906
 66:  .. loglikelihood=-2181.016736465161    0.9977458120724286
 67:  .. loglikelihood=-2164.3770748037186    0.9977507231572382
 68:  .. loglikelihood=-2148.1380627549784    0.9977801896660954
 69:  .. loglikelihood=-2132.2841177550486    0.9977900118357144
 70:  .. loglikelihood=-2116.800488675973    0.9977998340053335
 71:  .. loglikelihood=-2101.6731997572488    0.997824389429381
 72:  .. loglikelihood=-2086.8889990677517    0.9978391226838096
 73:  .. loglikelihood=-2072.435311074716    0.9978636781078573
 74:  .. loglikelihood=-2058.3001929419274    0.9978784113622858
 75:  .. loglikelihood=-2044.4722942178414    0.9978833224470953
 76:  .. loglikelihood=-2030.9408196094564    0.9979029667863334
 77:  .. loglikelihood=-2017.6954945684085    0.997907877871143
 78:  .. loglikelihood=-2004.7265334435385    0.997917700040762
 79:  .. loglikelihood=-1992.0246099774574    0.9979324332951905
 80:  .. loglikelihood=-1979.5808299479884    0.9979520776344286
 81:  .. loglikelihood=-1967.386705772769    0.9979618998040477
 82:  .. loglikelihood=-1955.4341329137897    0.9979668108888572
 83:  .. loglikelihood=-1943.7153679337864    0.9979864552280954
 84:  .. loglikelihood=-1932.2230080698819    0.998001188482524
 85:  .. loglikelihood=-1920.949972202715    0.9980110106521429
 86:  .. loglikelihood=-1909.8894831095263    0.9980355660761906
 87:  .. loglikelihood=-1899.0350509013351    0.9980404771610001
 88:  .. loglikelihood=-1888.380457551138    0.9980552104154287
 89:  .. loglikelihood=-1877.919742429958    0.9980601215002382
 90:  .. loglikelihood=-1867.6471887739842    0.9980601215002382
 91:  .. loglikelihood=-1857.557311012893    0.9980846769242858
 92:  .. loglikelihood=-1847.6448428951521    0.9980994101787144
 93:  .. loglikelihood=-1837.904726352112    0.998114143433143
 94:  .. loglikelihood=-1828.3321010467953    0.9981386988571905
 95:  .. loglikelihood=-1818.9222945583765    0.9981436099420001
 96:  .. loglikelihood=-1809.6708131568469    0.9981632542812382
 97:  .. loglikelihood=-1800.573333126767    0.9981779875356668
 98:  .. loglikelihood=-1791.6256926012736    0.9981828986204763
 99:  .. loglikelihood=-1782.8238838717132    0.9981976318749048
100:  .. loglikelihood=-1774.1640461399982    0.9982123651293334
Writing name finder model ... done (1.591s)

Wrote name finder model to
path: C:\Users\James
Kosin\Documents\NetBeansProjects\thesis\DocCompare\enMiscNameFinder.model

Testing Model....
Testing on Test Set A
Testing Person Name Finder
Loading Token Name Finder model ... done (0.406s)
current: 157.8 sent/s avg: 157.8 sent/s total: 160 sent
current: 822.6 sent/s avg: 485.6 sent/s total: 992 sent
current: 983.5 sent/s avg: 645.8 sent/s total: 1944 sent
current: 1168.2 sent/s avg: 776.0 sent/s total: 3111 sent


Average: 780.6 sent/s
Total: 3251 sent
Runtime: 4.165s

Precision: 0.9352201257861635
Recall: 0.8072747014115093
F-Measure: 0.8665501165501166
Testing Location Name Finder
Loading Token Name Finder model ... done (0.328s)
current: 212.1 sent/s avg: 212.1 sent/s total: 225 sent
current: 860.3 sent/s avg: 511.3 sent/s total: 1045 sent
current: 1118.9 sent/s avg: 706.4 sent/s total: 2127 sent
current: 1091.1 sent/s avg: 802.5 sent/s total: 3218 sent


Average: 804.5 sent/s
Total: 3251 sent
Runtime: 4.041s

Precision: 0.9283837056504599
Recall: 0.769188894937398
F-Measure: 0.8413218219708247
Testing Organization Name Finder
Loading Token Name Finder model ... done (0.312s)
current: 153.3 sent/s avg: 153.3 sent/s total: 189 sent
current: 763.3 sent/s avg: 395.3 sent/s total: 808 sent
current: 911.1 sent/s avg: 560.9 sent/s total: 1689 sent
current: 1350.7 sent/s avg: 757.5 sent/s total: 3037 sent


Average: 771.8 sent/s
Total: 3251 sent
Runtime: 4.212s

Precision: 0.8528584817244611
Recall: 0.6785980611483967
F-Measure: 0.7558139534883722
Testing Misc Name Finder
Loading Token Name Finder model ... done (0.312s)
current: 320.5 sent/s avg: 320.5 sent/s total: 365 sent
current: 832.5 sent/s avg: 532.1 sent/s total: 1079 sent
current: 1162.8 sent/s avg: 738.0 sent/s total: 2222 sent


Average: 827.0 sent/s
Total: 3251 sent
Runtime: 3.931s

Precision: 0.8539007092198582
Recall: 0.6529284164859002
F-Measure: 0.7400122925629993
. .
Testing on Test Set B
Testing Person Name Finder
Loading Token Name Finder model ... done (0.312s)
current: 153.8 sent/s avg: 153.8 sent/s total: 156 sent
current: 853.0 sent/s avg: 511.3 sent/s total: 1061 sent
current: 1001.1 sent/s avg: 663.6 sent/s total: 1998 sent


Average: 875.1 sent/s
Total: 3454 sent
Runtime: 3.947s

Precision: 0.8873546511627907
Recall: 0.7551020408163265
F-Measure: 0.8159037754761109
Testing Location Name Finder
Loading Token Name Finder model ... done (0.390s)
current: 179.5 sent/s avg: 179.5 sent/s total: 182 sent
current: 944.3 sent/s avg: 570.4 sent/s total: 1183 sent
current: 984.2 sent/s avg: 701.3 sent/s total: 2122 sent


Average: 907.5 sent/s
Total: 3454 sent
Runtime: 3.806s

Precision: 0.9156180606957809
Recall: 0.7416067146282974
F-Measure: 0.8194766478966545
Testing Organization Name Finder
Loading Token Name Finder model ... done (0.390s)
current: 298.9 sent/s avg: 298.9 sent/s total: 344 sent
current: 1064.1 sent/s avg: 641.3 sent/s total: 1291 sent
current: 1116.2 sent/s avg: 798.7 sent/s total: 2405 sent


Average: 992.8 sent/s
Total: 3454 sent
Runtime: 3.479s

Precision: 0.8263422818791947
Recall: 0.5930162552679109
F-Measure: 0.6905012267788293
Testing Misc Name Finder
Loading Token Name Finder model ... done (0.327s)
current: 341.2 sent/s avg: 341.2 sent/s total: 346 sent
current: 1021.4 sent/s avg: 691.4 sent/s total: 1391 sent
current: 1090.7 sent/s avg: 825.2 sent/s total: 2497 sent


Average: 993.1 sent/s
Total: 3454 sent
Runtime: 3.478s

Precision: 0.8599137931034483
Recall: 0.5683760683760684
F-Measure: 0.6843910806174958


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