|
|
Experiments
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 500
-E 0.3
-S 60630384
-H 2
-M 0.3
Input Weights:
-0.854377348182797 -0.4372100336366289
-0.07144551538807686 -0.20510040246190897
-0.7110036212917934 0.2202917065228971
0.4169458741662584 0.743937145388347
-0.2552871893378692 -0.20611021886450476
0.35444419725171117 -0.7397371980103229
0.7007942857992366 -0.5422880006981368
-0.410950867701678 0.7577784838855219
0.12106860877046755 -0.7441929279643487
0.6702493096695481 -0.8204802920518244
0.35719674743128027 0.8784103752375796
0.782903516864488 0.7331322116599435
-0.20408365477187607 -0.023322580343472676
0.9490749431920096 -0.09281362081804256
0.1543611191572838 0.2857835495993011
-0.8478614468935859 0.5343107538630931
0.23285516436155196 -0.3923925229857941
-0.010177234915161204 -0.34898001797498357
-0.02866592065009499 0.6450809496015022
-0.7162850548700985 0.5211860467648097
0.3625818055670602 0.9388999963122453
0.951613375934744 -0.6670690893624067
0.8266285599360848 0.485609450252525
-0.33085230083535255 0.4836345183989832
0.06350394367514234 -0.14020712594203344
0.28526897468834456 0.11482882175848075
0.03741150257687864 -0.7383197966479733
-0.4167677785760917 0.5718185340467272
-0.19063697973684968 0.3981253625813923
0.3590115537636329 0.009507970282898404
0.47621289245582576 0.6065627167131977
-0.4190940767473561 0.5574479294911188
0.8844400198759352 0.36892364921575993
0.8493607235698195 -0.2513700557856555
-0.6967319197327553 0.15003949935884942
-0.15954409940570202 -0.3931308424553779
-0.5561286846838622 0.2409752163822525
-0.1704565513410421 0.519314499513889
0.5233097023063111 -0.5060172910706164
-0.2136392407746237 0.280032223288496
-0.7389456825459073 -0.9019595975360593
0.5365554965872632 -0.6921964005453758
0.3738281976164859 0.05170214103139381
-0.18236598411073301 -0.30991126089018284
0.25607627374208364 -0.9735733406354434
0.03434268589704281 -0.5968846500775604
0.897523294725685 -0.2443578172053087
-0.4523869903606845 -0.3334225338725332
0.8385521988456466 0.9032300521309005
-0.5856008391513943 0.11555949057001436
-0.9151288299342115 0.12433404429518435
0.7287173446776953 0.360857845858765
-0.27478850212557826 0.3896265589388326
-0.2135940162711476 0.9544367330274175
0.6934362757552532 0.8533361485439002
0.9907768369495835 0.015653152272870008
-0.7929743113233723 0.9511728849158501
0.11036392033169351 -0.6137996933382863
-0.7412408080725224 -0.043774453329545215
0.6641090665695069 -0.40873016556254393
0.8426227578335517 0.9321561087560144
-0.09199989777961082 -0.14119159621140498
-0.09264500978048207 -0.4694695989429025
-0.7113970104015932 0.5992623835247057
0.24418703574886247 0.1036086194922321
0.06505831074706148 -0.9700480739624417
0.3655604407921125 0.45982107475090817
0.9276452949528082 -0.15998504369648736
-0.0010038742999343153 -0.31531707080394766
0.297409342927768 0.07629208430619072
0.028669885693544117 -0.2129927333405961
0.11080148382407184 -0.2260838370702103
0.8342004858709255 0.6046593803227636
0.4027468015822999 -0.4122008442437386
0.11300544202918084 0.10521488894723774
-0.8782550626316561 -0.023495600527003502
0.8844030765285227 -0.27206152589262955
0.15596172141403097 -0.1342668352776999
-0.24073289254561492 -0.8885543285809083
0.4280026920745399 -0.4638339589792322
-0.638949423400204 0.9069459062406049
-0.36988321166633265 -0.5552366818955798
0.4887139706788788 -0.545449762259067
-0.6833338445004928 0.34867070583910276
0.04960100510305643 -0.9420416613243467
-0.16372933943451295 -0.650825962906753
0.6344298124333985 0.18287347786252162
-0.7447067368369442 -0.9539682190676251
-0.1251160090905148 0.9724356503828777
0.8742293944743424 -0.029939881993589212
0.27812959666911286 -0.5417408580648211
0.13980595794865391 0.7678826199459006
0.27702588625198876 0.2815221766813636
-0.727369747791166 -0.4851344222915186
-0.18133394149085924 -0.24807078999012888
-0.5787351137232504 -0.8582372572466792
0.3297621632650898 -0.11604014400975271
-0.12940674802704155 -0.26742540630984424
-0.4183997913623396 -0.5259194863225958
0.12098244665329094 -0.3155884913211304
0.40991467825654704 -0.7722679411791464
0.45450092008568244 0.05731520813085611
-0.15009939023173602 0.9128710093419448
-0.051487094879147266 0.3693689233067836
Hidden Weights:
-0.5877027224195379 -0.559908847524792
0.35404119015994384 -0.5302057669283602
Options: -I 500
Back Propagation Neural Network:
Numer Input Nodes: 104
Number Hidden Nodes: 2
Number Output Nodes: 2
-I 500
-E 0.3
-S 60630384
-H 2
-M 0.3
Input Weights:
-0.854377348182797 -0.4372100336366289
-0.07144551538807686 -0.20510040246190897
-0.7110036212917934 0.2202917065228971
0.4169458741662584 0.743937145388347
-0.2552871893378692 -0.20611021886450476
0.35444419725171117 -0.7397371980103229
0.7007942857992366 -0.5422880006981368
-0.410950867701678 0.7577784838855219
0.12106860877046755 -0.7441929279643487
0.6702493096695481 -0.8204802920518244
0.35719674743128027 0.8784103752375796
0.782903516864488 0.7331322116599435
-0.20408365477187607 -0.023322580343472676
0.9490749431920096 -0.09281362081804256
0.1543611191572838 0.2857835495993011
-0.8478614468935859 0.5343107538630931
0.23285516436155196 -0.3923925229857941
-0.010177234915161204 -0.34898001797498357
-0.02866592065009499 0.6450809496015022
-0.7162850548700985 0.5211860467648097
0.3625818055670602 0.9388999963122453
0.951613375934744 -0.6670690893624067
0.8266285599360848 0.485609450252525
-0.33085230083535255 0.4836345183989832
0.06350394367514234 -0.14020712594203344
0.28526897468834456 0.11482882175848075
0.03741150257687864 -0.7383197966479733
-0.4167677785760917 0.5718185340467272
-0.19063697973684968 0.3981253625813923
0.3590115537636329 0.009507970282898404
0.47621289245582576 0.6065627167131977
-0.4190940767473561 0.5574479294911188
0.8844400198759352 0.36892364921575993
0.8493607235698195 -0.2513700557856555
-0.6967319197327553 0.15003949935884942
-0.15954409940570202 -0.3931308424553779
-0.5561286846838622 0.2409752163822525
-0.1704565513410421 0.519314499513889
0.5233097023063111 -0.5060172910706164
-0.2136392407746237 0.280032223288496
-0.7389456825459073 -0.9019595975360593
0.5365554965872632 -0.6921964005453758
0.3738281976164859 0.05170214103139381
-0.18236598411073301 -0.30991126089018284
0.25607627374208364 -0.9735733406354434
0.03434268589704281 -0.5968846500775604
0.897523294725685 -0.2443578172053087
-0.4523869903606845 -0.3334225338725332
0.8385521988456466 0.9032300521309005
-0.5856008391513943 0.11555949057001436
-0.9151288299342115 0.12433404429518435
0.7287173446776953 0.360857845858765
-0.27478850212557826 0.3896265589388326
-0.2135940162711476 0.9544367330274175
0.6934362757552532 0.8533361485439002
0.9907768369495835 0.015653152272870008
-0.7929743113233723 0.9511728849158501
0.11036392033169351 -0.6137996933382863
-0.7412408080725224 -0.043774453329545215
0.6641090665695069 -0.40873016556254393
0.8426227578335517 0.9321561087560144
-0.09199989777961082 -0.14119159621140498
-0.09264500978048207 -0.4694695989429025
-0.7113970104015932 0.5992623835247057
0.24418703574886247 0.1036086194922321
0.06505831074706148 -0.9700480739624417
0.3655604407921125 0.45982107475090817
0.9276452949528082 -0.15998504369648736
-0.0010038742999343153 -0.31531707080394766
0.297409342927768 0.07629208430619072
0.028669885693544117 -0.2129927333405961
0.11080148382407184 -0.2260838370702103
0.8342004858709255 0.6046593803227636
0.4027468015822999 -0.4122008442437386
0.11300544202918084 0.10521488894723774
-0.8782550626316561 -0.023495600527003502
0.8844030765285227 -0.27206152589262955
0.15596172141403097 -0.1342668352776999
-0.24073289254561492 -0.8885543285809083
0.4280026920745399 -0.4638339589792322
-0.638949423400204 0.9069459062406049
-0.36988321166633265 -0.5552366818955798
0.4887139706788788 -0.545449762259067
-0.6833338445004928 0.34867070583910276
0.04960100510305643 -0.9420416613243467
-0.16372933943451295 -0.650825962906753
0.6344298124333985 0.18287347786252162
-0.7447067368369442 -0.9539682190676251
-0.1251160090905148 0.9724356503828777
0.8742293944743424 -0.029939881993589212
0.27812959666911286 -0.5417408580648211
0.13980595794865391 0.7678826199459006
0.27702588625198876 0.2815221766813636
-0.727369747791166 -0.4851344222915186
-0.18133394149085924 -0.24807078999012888
-0.5787351137232504 -0.8582372572466792
0.3297621632650898 -0.11604014400975271
-0.12940674802704155 -0.26742540630984424
-0.4183997913623396 -0.5259194863225958
0.12098244665329094 -0.3155884913211304
0.40991467825654704 -0.7722679411791464
0.45450092008568244 0.05731520813085611
-0.15009939023173602 0.9128710093419448
-0.051487094879147266 0.3693689233067836
Hidden Weights:
-0.6790570165761223 0.15795117230628097
3.1182291970566265 -3.1182291970566265
=== Error on training data ===
Correctly Classified Instances 24751 76.0143 %
Incorrectly Classified Instances 7810 23.9857 %
Mean absolute error 0.3818
Root mean squared error 0.4282
Relative absolute error 104.4082 %
Root relative squared error 100.1497 %
Total Number of Instances 32561
=== Confusion Matrix ===
a b <-- classified as
31 7810 | a = >50K
0 24720 | b = <=50K
=== Error on test data ===
Correctly Classified Instances 12462 76.5432 %
Incorrectly Classified Instances 3819 23.4568 %
Mean absolute error 0.3792
Root mean squared error 0.4253
Relative absolute error 104.3975 %
Root relative squared error 100.1323 %
Total Number of Instances 16281
=== Confusion Matrix ===
a b <-- classified as
27 3819 | a = >50K
0 12435 | b = <=50K
|
|
|
