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output.txt
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output.txt
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horizontal_flip {'p': 0}
seed: 42, noise_scale: 0.1
Round: 1 Accuracy: 0.614
Round: 1 f1_score: 0.6108478677286017
Round: 1 average_Acc_f1: 0.6124239338643008
Round: 2 Accuracy: 0.518
Round: 2 f1_score: 0.3412384716732543
Round: 2 average_Acc_f1: 0.42961923583662714
Round: 5 Accuracy: 0.722
Round: 5 f1_score: 0.7213032581453636
Round: 5 average_Acc_f1: 0.7216516290726818
Round: 10 Accuracy: 0.736
Round: 10 f1_score: 0.7351694915254237
Round: 10 average_Acc_f1: 0.7355847457627118
Round: 20 Accuracy: 0.812
Round: 20 f1_score: 0.8116987179487181
Round: 20 average_Acc_f1: 0.8118493589743591
Round: 50 Accuracy: 0.852
Round: 50 f1_score: 0.8518079430942501
Round: 50 average_Acc_f1: 0.851903971547125
Round: 100 Accuracy: 0.834
Round: 100 f1_score: 0.8335839598997494
Round: 100 average_Acc_f1: 0.8337919799498748
Round: 200 Accuracy: 0.482
Round: 200 f1_score: 0.3252361673414305
Round: 200 average_Acc_f1: 0.4036180836707153
Round: 500 Accuracy: 0.482
Round: 500 f1_score: 0.3252361673414305
Round: 500 average_Acc_f1: 0.4036180836707153
Round: 1000 Accuracy: 0.514
Round: 1000 f1_score: 0.35026390515457295
Round: 1000 average_Acc_f1: 0.4321319525772865
seed: 43, noise_scale: 0.1
Round: 1 Accuracy: 0.518
Round: 1 f1_score: 0.3412384716732543
Round: 1 average_Acc_f1: 0.42961923583662714
Round: 2 Accuracy: 0.668
Round: 2 f1_score: 0.667978750640041
Round: 2 average_Acc_f1: 0.6679893753200206
Round: 5 Accuracy: 0.688
Round: 5 f1_score: 0.6879550655294362
Round: 5 average_Acc_f1: 0.6879775327647181
Round: 10 Accuracy: 0.74
Round: 10 f1_score: 0.7395833333333333
Round: 10 average_Acc_f1: 0.7397916666666666
Round: 20 Accuracy: 0.836
Round: 20 f1_score: 0.8355553416438048
Round: 20 average_Acc_f1: 0.8357776708219025
Round: 50 Accuracy: 0.882
Round: 50 f1_score: 0.8819995279981119
Round: 50 average_Acc_f1: 0.881999763999056
Round: 100 Accuracy: 0.776
Round: 100 f1_score: 0.7701149425287357
Round: 100 average_Acc_f1: 0.7730574712643679
Round: 200 Accuracy: 0.482
Round: 200 f1_score: 0.3252361673414305
Round: 200 average_Acc_f1: 0.4036180836707153
Round: 500 Accuracy: 0.482
Round: 500 f1_score: 0.3252361673414305
Round: 500 average_Acc_f1: 0.4036180836707153
Round: 1000 Accuracy: 0.528
Round: 1000 f1_score: 0.4663048394391678
Round: 1000 average_Acc_f1: 0.4971524197195839
seed: 44, noise_scale: 0.1
Round: 1 Accuracy: 0.518
Round: 1 f1_score: 0.3412384716732543
Round: 1 average_Acc_f1: 0.42961923583662714
Round: 2 Accuracy: 0.55
Round: 2 f1_score: 0.4357366771159874
Round: 2 average_Acc_f1: 0.4928683385579937
Round: 5 Accuracy: 0.692
Round: 5 f1_score: 0.6851024848276652
Round: 5 average_Acc_f1: 0.6885512424138326
Round: 10 Accuracy: 0.758
Round: 10 f1_score: 0.7554557617451969
Round: 10 average_Acc_f1: 0.7567278808725985
Round: 20 Accuracy: 0.846
Round: 20 f1_score: 0.8455496226997926
Round: 20 average_Acc_f1: 0.8457748113498963
Round: 50 Accuracy: 0.884
Round: 50 f1_score: 0.883953581432573
Round: 50 average_Acc_f1: 0.8839767907162865
Round: 100 Accuracy: 0.832
Round: 100 f1_score: 0.8311245496654658
Round: 100 average_Acc_f1: 0.8315622748327329
Round: 200 Accuracy: 0.482
Round: 200 f1_score: 0.3252361673414305
Round: 200 average_Acc_f1: 0.4036180836707153
Round: 500 Accuracy: 0.482
Round: 500 f1_score: 0.3252361673414305
Round: 500 average_Acc_f1: 0.4036180836707153
Round: 1000 Accuracy: 0.514
Round: 1000 f1_score: 0.3394980184940554
Round: 1000 average_Acc_f1: 0.42674900924702774
-------------------------------------------------------------------------------------
seed: 42, noise_scale: 0.2
Round: 1 Accuracy: 0.614
Round: 1 f1_score: 0.6108478677286017
Round: 1 average_Acc_f1: 0.6124239338643008
Round: 2 Accuracy: 0.518
Round: 2 f1_score: 0.3412384716732543
Round: 2 average_Acc_f1: 0.42961923583662714
Round: 5 Accuracy: 0.716
Round: 5 f1_score: 0.7145200720535254
Round: 5 average_Acc_f1: 0.7152600360267627
Round: 10 Accuracy: 0.736
Round: 10 f1_score: 0.7346242923314462
Round: 10 average_Acc_f1: 0.735312146165723
Round: 20 Accuracy: 0.836
Round: 20 f1_score: 0.8358318918572618
Round: 20 average_Acc_f1: 0.8359159459286309
Round: 50 Accuracy: 0.85
Round: 50 f1_score: 0.8494936967960218
Round: 50 average_Acc_f1: 0.8497468483980108
Round: 100 Accuracy: 0.482
Round: 100 f1_score: 0.3252361673414305
Round: 100 average_Acc_f1: 0.4036180836707153
Round: 200 Accuracy: 0.482
Round: 200 f1_score: 0.3252361673414305
Round: 200 average_Acc_f1: 0.4036180836707153
Round: 500 Accuracy: 0.482
Round: 500 f1_score: 0.3252361673414305
Round: 500 average_Acc_f1: 0.4036180836707153
Round: 1000 Accuracy: 0.51
Round: 1000 f1_score: 0.4980968652564212
Round: 1000 average_Acc_f1: 0.5040484326282106
seed: 43, noise_scale: 0.2
Round: 1 Accuracy: 0.518
Round: 1 f1_score: 0.3412384716732543
Round: 1 average_Acc_f1: 0.42961923583662714
Round: 2 Accuracy: 0.658
Round: 2 f1_score: 0.6575054378522587
Round: 2 average_Acc_f1: 0.6577527189261294
Round: 5 Accuracy: 0.698
Round: 5 f1_score: 0.6973596129409833
Round: 5 average_Acc_f1: 0.6976798064704917
Round: 10 Accuracy: 0.732
Round: 10 f1_score: 0.7315705128205128
Round: 10 average_Acc_f1: 0.7317852564102564
Round: 20 Accuracy: 0.824
Round: 20 f1_score: 0.8235935595612291
Round: 20 average_Acc_f1: 0.8237967797806145
Round: 50 Accuracy: 0.872
Round: 50 f1_score: 0.8719487795118048
Round: 50 average_Acc_f1: 0.8719743897559025
Round: 100 Accuracy: 0.482
Round: 100 f1_score: 0.3252361673414305
Round: 100 average_Acc_f1: 0.4036180836707153
Round: 200 Accuracy: 0.482
Round: 200 f1_score: 0.3252361673414305
Round: 200 average_Acc_f1: 0.4036180836707153
Round: 500 Accuracy: 0.482
Round: 500 f1_score: 0.3252361673414305
Round: 500 average_Acc_f1: 0.4036180836707153
Round: 1000 Accuracy: 0.488
Round: 1000 f1_score: 0.45444626295690127
Round: 1000 average_Acc_f1: 0.47122313147845063
seed: 44, noise_scale: 0.2
Round: 1 Accuracy: 0.518
Round: 1 f1_score: 0.3412384716732543
Round: 1 average_Acc_f1: 0.42961923583662714
Round: 2 Accuracy: 0.534
Round: 2 f1_score: 0.3898958371519395
Round: 2 average_Acc_f1: 0.46194791857596973
Round: 5 Accuracy: 0.642
Round: 5 f1_score: 0.6129411713827299
Round: 5 average_Acc_f1: 0.6274705856913649
Round: 10 Accuracy: 0.744
Round: 10 f1_score: 0.742947111368164
Round: 10 average_Acc_f1: 0.743473555684082
Round: 20 Accuracy: 0.856
Round: 20 f1_score: 0.8556674578228238
Round: 20 average_Acc_f1: 0.855833728911412
Round: 50 Accuracy: 0.852
Round: 50 f1_score: 0.8517129162057744
Round: 50 average_Acc_f1: 0.8518564581028871
Round: 100 Accuracy: 0.482
Round: 100 f1_score: 0.3252361673414305
Round: 100 average_Acc_f1: 0.4036180836707153
Round: 200 Accuracy: 0.482
Round: 200 f1_score: 0.3252361673414305
Round: 200 average_Acc_f1: 0.4036180836707153
Round: 500 Accuracy: 0.482
Round: 500 f1_score: 0.3252361673414305
Round: 500 average_Acc_f1: 0.4036180836707153
Round: 1000 Accuracy: 0.482
Round: 1000 f1_score: 0.3252361673414305
Round: 1000 average_Acc_f1: 0.4036180836707153
-------------------------------------------------------------------------------------
seed: 42, noise_scale: 0.3
Round: 1 Accuracy: 0.616
Round: 1 f1_score: 0.6130030959752322
Round: 1 average_Acc_f1: 0.6145015479876161
Round: 2 Accuracy: 0.518
Round: 2 f1_score: 0.3412384716732543
Round: 2 average_Acc_f1: 0.42961923583662714
Round: 5 Accuracy: 0.702
Round: 5 f1_score: 0.6983500354286871
Round: 5 average_Acc_f1: 0.7001750177143435
Round: 10 Accuracy: 0.742
Round: 10 f1_score: 0.7415440837637592
Round: 10 average_Acc_f1: 0.7417720418818796
Round: 20 Accuracy: 0.822
Round: 20 f1_score: 0.8215538847117795
Round: 20 average_Acc_f1: 0.8217769423558897
Round: 50 Accuracy: 0.832
Round: 50 f1_score: 0.8314714946070878
Round: 50 average_Acc_f1: 0.8317357473035438
Round: 100 Accuracy: 0.482
Round: 100 f1_score: 0.3252361673414305
Round: 100 average_Acc_f1: 0.4036180836707153
Round: 200 Accuracy: 0.482
Round: 200 f1_score: 0.3252361673414305
Round: 200 average_Acc_f1: 0.4036180836707153
Round: 500 Accuracy: 0.482
Round: 500 f1_score: 0.3252361673414305
Round: 500 average_Acc_f1: 0.4036180836707153
Round: 1000 Accuracy: 0.528
Round: 1000 f1_score: 0.5278111244497798
Round: 1000 average_Acc_f1: 0.5279055622248899
seed: 43, noise_scale: 0.3
Round: 1 Accuracy: 0.518
Round: 1 f1_score: 0.3412384716732543
Round: 1 average_Acc_f1: 0.42961923583662714
Round: 2 Accuracy: 0.668
Round: 2 f1_score: 0.6674679487179488
Round: 2 average_Acc_f1: 0.6677339743589744
Round: 5 Accuracy: 0.724
Round: 5 f1_score: 0.7227178473260355
Round: 5 average_Acc_f1: 0.7233589236630178
Round: 10 Accuracy: 0.72
Round: 10 f1_score: 0.7126436781609194
Round: 10 average_Acc_f1: 0.7163218390804598
Round: 20 Accuracy: 0.814
Round: 20 f1_score: 0.813605589427228
Round: 20 average_Acc_f1: 0.8138027947136139
Round: 50 Accuracy: 0.808
Round: 50 f1_score: 0.8065015479876161
Round: 50 average_Acc_f1: 0.8072507739938081
Round: 100 Accuracy: 0.482
Round: 100 f1_score: 0.3252361673414305
Round: 100 average_Acc_f1: 0.4036180836707153
Round: 200 Accuracy: 0.482
Round: 200 f1_score: 0.3252361673414305
Round: 200 average_Acc_f1: 0.4036180836707153
Round: 500 Accuracy: 0.482
Round: 500 f1_score: 0.3252361673414305
Round: 500 average_Acc_f1: 0.4036180836707153
Round: 1000 Accuracy: 0.484
Round: 1000 f1_score: 0.4465894465894466
Round: 1000 average_Acc_f1: 0.4652947232947233
seed: 44, noise_scale: 0.3
Round: 1 Accuracy: 0.518
Round: 1 f1_score: 0.3412384716732543
Round: 1 average_Acc_f1: 0.42961923583662714
Round: 2 Accuracy: 0.558
Round: 2 f1_score: 0.45068329033252297
Round: 2 average_Acc_f1: 0.5043416451662615
Round: 5 Accuracy: 0.678
Round: 5 f1_score: 0.6631446804059002
Round: 5 average_Acc_f1: 0.6705723402029502
Round: 10 Accuracy: 0.696
Round: 10 f1_score: 0.6816940577306461
Round: 10 average_Acc_f1: 0.688847028865323
Round: 20 Accuracy: 0.842
Round: 20 f1_score: 0.8416649630618387
Round: 20 average_Acc_f1: 0.8418324815309193
Round: 50 Accuracy: 0.83
Round: 50 f1_score: 0.8299993199972799
Round: 50 average_Acc_f1: 0.8299996599986399
Round: 100 Accuracy: 0.482
Round: 100 f1_score: 0.3252361673414305
Round: 100 average_Acc_f1: 0.4036180836707153
Round: 200 Accuracy: 0.482
Round: 200 f1_score: 0.3252361673414305
Round: 200 average_Acc_f1: 0.4036180836707153
Round: 500 Accuracy: 0.482
Round: 500 f1_score: 0.3252361673414305
Round: 500 average_Acc_f1: 0.4036180836707153
Round: 1000 Accuracy: 0.482
Round: 1000 f1_score: 0.3252361673414305
Round: 1000 average_Acc_f1: 0.4036180836707153
-------------------------------------------------------------------------------------
seed: 42, noise_scale: 0.5
Round: 1 Accuracy: 0.62
Round: 1 f1_score: 0.6172996664464461
Round: 1 average_Acc_f1: 0.6186498332232231
Round: 2 Accuracy: 0.518
Round: 2 f1_score: 0.3412384716732543
Round: 2 average_Acc_f1: 0.42961923583662714
Round: 5 Accuracy: 0.714
Round: 5 f1_score: 0.7112266204629261
Round: 5 average_Acc_f1: 0.712613310231463
Round: 10 Accuracy: 0.694
Round: 10 f1_score: 0.6861654338916716
Round: 10 average_Acc_f1: 0.6900827169458358
Round: 20 Accuracy: 0.828
Round: 20 f1_score: 0.8279008709016393
Round: 20 average_Acc_f1: 0.8279504354508196
Round: 50 Accuracy: 0.482
Round: 50 f1_score: 0.3252361673414305
Round: 50 average_Acc_f1: 0.4036180836707153
Round: 100 Accuracy: 0.482
Round: 100 f1_score: 0.3252361673414305
Round: 100 average_Acc_f1: 0.4036180836707153
Round: 200 Accuracy: 0.482
Round: 200 f1_score: 0.3252361673414305
Round: 200 average_Acc_f1: 0.4036180836707153
Round: 500 Accuracy: 0.482
Round: 500 f1_score: 0.3252361673414305
Round: 500 average_Acc_f1: 0.4036180836707153
Round: 1000 Accuracy: 0.488
Round: 1000 f1_score: 0.35358758888170655
Round: 1000 average_Acc_f1: 0.4207937944408533
seed: 43, noise_scale: 0.5
Round: 1 Accuracy: 0.518
Round: 1 f1_score: 0.3412384716732543
Round: 1 average_Acc_f1: 0.42961923583662714
Round: 2 Accuracy: 0.65
Round: 2 f1_score: 0.6491228070175439
Round: 2 average_Acc_f1: 0.649561403508772
Round: 5 Accuracy: 0.706
Round: 5 f1_score: 0.7023990282417247
Round: 5 average_Acc_f1: 0.7041995141208623
Round: 10 Accuracy: 0.732
Round: 10 f1_score: 0.7288371565945185
Round: 10 average_Acc_f1: 0.7304185782972592
Round: 20 Accuracy: 0.828
Round: 20 f1_score: 0.8279008709016393
Round: 20 average_Acc_f1: 0.8279504354508196
Round: 50 Accuracy: 0.482
Round: 50 f1_score: 0.3252361673414305
Round: 50 average_Acc_f1: 0.4036180836707153
Round: 100 Accuracy: 0.482
Round: 100 f1_score: 0.3252361673414305
Round: 100 average_Acc_f1: 0.4036180836707153
Round: 200 Accuracy: 0.482
Round: 200 f1_score: 0.3252361673414305
Round: 200 average_Acc_f1: 0.4036180836707153
Round: 500 Accuracy: 0.482
Round: 500 f1_score: 0.3252361673414305
Round: 500 average_Acc_f1: 0.4036180836707153
Round: 1000 Accuracy: 0.486
Round: 1000 f1_score: 0.3981800214500817
Round: 1000 average_Acc_f1: 0.44209001072504084
seed: 44, noise_scale: 0.5
Round: 1 Accuracy: 0.518
Round: 1 f1_score: 0.3412384716732543
Round: 1 average_Acc_f1: 0.42961923583662714
Round: 2 Accuracy: 0.538
Round: 2 f1_score: 0.39818360870992453
Round: 2 average_Acc_f1: 0.4680918043549623
Round: 5 Accuracy: 0.684
Round: 5 f1_score: 0.6773086726357753
Round: 5 average_Acc_f1: 0.6806543363178876
Round: 10 Accuracy: 0.728
Round: 10 f1_score: 0.7264198007692431
Round: 10 average_Acc_f1: 0.7272099003846215
Round: 20 Accuracy: 0.848
Round: 20 f1_score: 0.8479391756702681
Round: 20 average_Acc_f1: 0.8479695878351341
Round: 50 Accuracy: 0.482
Round: 50 f1_score: 0.3252361673414305
Round: 50 average_Acc_f1: 0.4036180836707153
Round: 100 Accuracy: 0.482
Round: 100 f1_score: 0.3252361673414305
Round: 100 average_Acc_f1: 0.4036180836707153
Round: 200 Accuracy: 0.482
Round: 200 f1_score: 0.3252361673414305
Round: 200 average_Acc_f1: 0.4036180836707153
Round: 500 Accuracy: 0.482
Round: 500 f1_score: 0.3252361673414305
Round: 500 average_Acc_f1: 0.4036180836707153
Round: 1000 Accuracy: 0.482
Round: 1000 f1_score: 0.3252361673414305
Round: 1000 average_Acc_f1: 0.4036180836707153
-------------------------------------------------------------------------------------
seed: 42, noise_scale: 1
Round: 1 Accuracy: 0.616
Round: 1 f1_score: 0.613769130497755
Round: 1 average_Acc_f1: 0.6148845652488775
Round: 2 Accuracy: 0.518
Round: 2 f1_score: 0.3412384716732543
Round: 2 average_Acc_f1: 0.42961923583662714
Round: 5 Accuracy: 0.722
Round: 5 f1_score: 0.7204692898311151
Round: 5 average_Acc_f1: 0.7212346449155576
Round: 10 Accuracy: 0.706
Round: 10 f1_score: 0.7047137330210396
Round: 10 average_Acc_f1: 0.7053568665105198
Round: 20 Accuracy: 0.784
Round: 20 f1_score: 0.7836538461538463
Round: 20 average_Acc_f1: 0.7838269230769231
Round: 50 Accuracy: 0.482
Round: 50 f1_score: 0.3252361673414305
Round: 50 average_Acc_f1: 0.4036180836707153
Round: 100 Accuracy: 0.482
Round: 100 f1_score: 0.3252361673414305
Round: 100 average_Acc_f1: 0.4036180836707153
Round: 200 Accuracy: 0.482
Round: 200 f1_score: 0.3252361673414305
Round: 200 average_Acc_f1: 0.4036180836707153
Round: 500 Accuracy: 0.482
Round: 500 f1_score: 0.3252361673414305
Round: 500 average_Acc_f1: 0.4036180836707153
Round: 1000 Accuracy: 0.482
Round: 1000 f1_score: 0.3252361673414305
Round: 1000 average_Acc_f1: 0.4036180836707153
seed: 43, noise_scale: 1
Round: 1 Accuracy: 0.518
Round: 1 f1_score: 0.3412384716732543
Round: 1 average_Acc_f1: 0.42961923583662714
Round: 2 Accuracy: 0.664
Round: 2 f1_score: 0.6634615384615385
Round: 2 average_Acc_f1: 0.6637307692307692
Round: 5 Accuracy: 0.626
Round: 5 f1_score: 0.5839248127661657
Round: 5 average_Acc_f1: 0.6049624063830829
Round: 10 Accuracy: 0.718
Round: 10 f1_score: 0.7103997305279763
Round: 10 average_Acc_f1: 0.7141998652639882
Round: 20 Accuracy: 0.804
Round: 20 f1_score: 0.8016868757183792
Round: 20 average_Acc_f1: 0.8028434378591895
Round: 50 Accuracy: 0.482
Round: 50 f1_score: 0.3252361673414305
Round: 50 average_Acc_f1: 0.4036180836707153