Commit 4c64a525 authored by pawel rosikiewicz's avatar pawel rosikiewicz 💬
Browse files

here i created nice design with 4 notebooks for our students

parent f8b66c6a
Pipeline #187651 passed with stage
in 29 seconds
,EarlyStopping__patience,baseline_acc_test,baseline_acc_test_2,baseline_acc_train,baseline_acc_valid,dataset_name,dataset_variant,fit__batch_size,fit__epoch,h1_Dropout,h1_activation,h1_unit_size,method,method_group,method_variant,metrics,model,model_ID,model_acc_test,model_acc_test_2,model_acc_train,model_acc_valid,model_loss_test,model_loss_test_2,model_loss_train,model_loss_valid,module,optimizer,out_activation,pca,pca_components_used,random_state_nr,run_name,unit_test
0,3,0.726027397260274,0.726027397260274,0.7278911564625851,0.7379310344827587,ham10000_workshop,cancer_detection_and_classification,64,100,0.5,relu,288,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,0,0.8219178318977356,0.8082191944122314,0.9440665046374003,0.8045977155367533,0.9192534799445166,0.9005545655341998,0.5451202231289668,0.9824510324960468,BiT_M_Resnet101,Adam,softmax,0,0,0,all_data__run01,False
1,3,0.726027397260274,0.726027397260274,0.7278911564625851,0.7379310344827587,ham10000_workshop,cancer_detection_and_classification,16,100,0.5,relu,144,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,1,0.7534246444702148,0.7534246444702148,0.788359800974528,0.7701149384180704,0.918199454268364,0.8660865483218676,0.7955753465808888,0.8283911262778029,BiT_M_Resnet101,Adam,softmax,0,0,0,all_data__run01,False
,EarlyStopping__patience,baseline_acc_test,baseline_acc_test_2,baseline_acc_train,baseline_acc_valid,dataset_name,dataset_variant,fit__batch_size,fit__epoch,h1_Dropout,h1_activation,h1_unit_size,method,method_group,method_variant,metrics,model,model_ID,model_acc_test,model_acc_test_2,model_acc_train,model_acc_valid,model_loss_test,model_loss_test_2,model_loss_train,model_loss_valid,module,optimizer,out_activation,pca,pca_components_used,random_state_nr,run_name,unit_test
0,3,0.726027397260274,0.726027397260274,0.7278911564625851,0.7379310344827587,ham10000_workshop,cancer_detection_and_classification,16,100,0.5,relu,36,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,0,0.7260273694992065,0.7397260069847107,0.7226001620292664,0.7379310131072998,0.8346065135851298,0.7106935912615633,0.8672657149899484,0.7774339765995398,BiT_M_Resnet101,Adam,softmax,0,0,0,small_subset_data__run01,False
1,3,0.726027397260274,0.726027397260274,0.7278911564625851,0.7379310344827587,ham10000_workshop,cancer_detection_and_classification,16,100,0.5,relu,72,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,1,0.767123281955719,0.767123281955719,0.7641723354657491,0.7609195311864217,0.8358154296875,0.6446599650056395,0.7436188375598448,0.7331620355960965,BiT_M_Resnet101,Adam,softmax,0,0,0,small_subset_data__run01,False
2,3,0.726027397260274,0.726027397260274,0.7278911564625851,0.7379310344827587,ham10000_workshop,cancer_detection_and_classification,16,100,0.5,relu,144,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,2,0.7945205569267273,0.7945205569267273,0.8435374101003011,0.7977011601130167,0.830292188957946,0.6830111791009772,0.5847407303249305,0.8033497545568422,BiT_M_Resnet101,Adam,softmax,0,0,0,small_subset_data__run01,False
3,3,0.726027397260274,0.726027397260274,0.7278911564625851,0.7379310344827587,ham10000_workshop,cancer_detection_and_classification,16,100,0.5,relu,288,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,3,0.8082191944122314,0.8082191944122314,0.863189697265625,0.7862069010734558,0.9287901708524521,0.8174431944546634,0.6694725319821999,0.9694159459793704,BiT_M_Resnet101,Adam,softmax,0,0,0,small_subset_data__run01,False
4,3,0.726027397260274,0.726027397260274,0.7278911564625851,0.7379310344827587,ham10000_workshop,cancer_detection_and_classification,32,100,0.5,relu,36,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,4,0.7397260069847107,0.7808219194412231,0.7634164690971375,0.7655172348022461,0.7376194114554419,0.6935065870415674,0.694320320317174,0.6992030647979385,BiT_M_Resnet101,Adam,softmax,0,0,0,small_subset_data__run01,False
5,3,0.726027397260274,0.726027397260274,0.7278911564625851,0.7379310344827587,ham10000_workshop,cancer_detection_and_classification,32,100,0.5,relu,72,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,5,0.7945205569267273,0.7808219194412231,0.7649282018343607,0.7655172348022461,0.7728237093311466,0.6764261134683269,0.7267598183607388,0.7508272820505603,BiT_M_Resnet101,Adam,softmax,0,0,0,small_subset_data__run01,False
6,3,0.726027397260274,0.726027397260274,0.7278911564625851,0.7379310344827587,ham10000_workshop,cancer_detection_and_classification,32,100,0.5,relu,144,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,6,0.8082191944122314,0.7945205569267273,0.8427815437316895,0.7908046046892802,0.8894379138946533,0.7363430408582295,0.6330405202041679,0.8210452845726891,BiT_M_Resnet101,Adam,softmax,0,0,0,small_subset_data__run01,False
7,3,0.726027397260274,0.726027397260274,0.7278911564625851,0.7379310344827587,ham10000_workshop,cancer_detection_and_classification,32,100,0.5,relu,288,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,7,0.8082191944122314,0.7945205569267273,0.86545729637146,0.7862069010734558,0.9285784094300988,0.9044403148024049,0.7039672632786873,1.008106384606197,BiT_M_Resnet101,Adam,softmax,0,0,0,small_subset_data__run01,False
8,3,0.726027397260274,0.726027397260274,0.7278911564625851,0.7379310344827587,ham10000_workshop,cancer_detection_and_classification,64,100,0.5,relu,36,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,8,0.7534246444702148,0.7945205569267273,0.7777777910232544,0.7655172348022461,0.7155610665883103,0.642500201316729,0.6544567495246593,0.7401763999599149,BiT_M_Resnet101,Adam,softmax,0,0,0,small_subset_data__run01,False
9,3,0.726027397260274,0.726027397260274,0.7278911564625851,0.7379310344827587,ham10000_workshop,cancer_detection_and_classification,64,100,0.5,relu,72,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,9,0.7808219194412231,0.7808219194412231,0.7891156474749247,0.7678160866101583,0.7853497805660719,0.6809095029961573,0.6761041869742349,0.7418492208952191,BiT_M_Resnet101,Adam,softmax,0,0,0,small_subset_data__run01,False
10,3,0.726027397260274,0.726027397260274,0.7278911564625851,0.7379310344827587,ham10000_workshop,cancer_detection_and_classification,64,100,0.5,relu,144,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,10,0.7945205569267273,0.8082191944122314,0.8722600142161051,0.7862069010734558,0.893520466268879,0.6963327649521501,0.5565653088321671,0.8483589028490001,BiT_M_Resnet101,Adam,softmax,0,0,0,small_subset_data__run01,False
11,3,0.726027397260274,0.726027397260274,0.7278911564625851,0.7379310344827587,ham10000_workshop,cancer_detection_and_classification,64,100,0.5,relu,288,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,11,0.7945205569267273,0.7808219194412231,0.9130763411521912,0.800000011920929,0.9837595012089978,0.9283689538093463,0.6159116465848951,1.0247936999660798,BiT_M_Resnet101,Adam,softmax,0,0,0,small_subset_data__run01,False
12,3,0.726027397260274,0.726027397260274,0.7278911564625851,0.7379310344827587,ham10000_workshop,cancer_detection_and_classification,128,100,0.5,relu,36,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,12,0.7260273694992065,0.7260273694992065,0.7377172907193502,0.7379310131072998,0.7205101790493482,0.7050572225492294,0.7278002023426584,0.7336543127038014,BiT_M_Resnet101,Adam,softmax,0,0,0,small_subset_data__run01,False
13,3,0.726027397260274,0.726027397260274,0.7278911564625851,0.7379310344827587,ham10000_workshop,cancer_detection_and_classification,128,100,0.5,relu,72,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,13,0.7808219194412231,0.7397260069847107,0.7876039147377014,0.7540229757626852,0.7947237622247983,0.6980798244476318,0.6665777373025566,0.7420854162895817,BiT_M_Resnet101,Adam,softmax,0,0,0,small_subset_data__run01,False
14,3,0.726027397260274,0.726027397260274,0.7278911564625851,0.7379310344827587,ham10000_workshop,cancer_detection_and_classification,128,100,0.5,relu,144,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,14,0.7808219194412231,0.7945205569267273,0.7951625188191732,0.7586206793785095,0.9043832903038965,0.8927909021508204,0.7956286177703674,0.8989344207719826,BiT_M_Resnet101,Adam,softmax,0,0,0,small_subset_data__run01,False
15,3,0.726027397260274,0.726027397260274,0.7278911564625851,0.7379310344827587,ham10000_workshop,cancer_detection_and_classification,128,100,0.5,relu,288,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,15,0.8219178318977356,0.7808219194412231,0.8722600142161051,0.7701149384180704,0.99219412019808,0.9938934959777413,0.7710896013635447,1.0670414720458548,BiT_M_Resnet101,Adam,softmax,0,0,0,small_subset_data__run01,False
,EarlyStopping__patience,baseline_acc_test,baseline_acc_test_2,baseline_acc_train,baseline_acc_valid,dataset_name,dataset_variant,fit__batch_size,fit__epoch,h1_Dropout,h1_activation,h1_unit_size,method,method_group,method_variant,metrics,model,model_ID,model_acc_test,model_acc_test_2,model_acc_train,model_acc_valid,model_loss_test,model_loss_test_2,model_loss_train,model_loss_valid,module,optimizer,out_activation,pca,pca_components_used,random_state_nr,run_name,unit_test
0,3,0.726027397260274,0.726027397260274,0.7278911564625851,0.7379310344827587,ham10000_workshop,cancer_detection_and_classification,128,100,0.5,relu,288,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,0,0.8082191944122314,0.7808219194412231,0.8956916133562723,0.7954023083051046,1.070012589023538,1.0800310879537505,0.7854245498337171,1.1046709027783626,MobileNet_v2,Adam,softmax,0,0,0,all_data__run01,False
1,3,0.726027397260274,0.726027397260274,0.7278911564625851,0.7379310344827587,ham10000_workshop,cancer_detection_and_classification,64,100,0.5,relu,288,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,1,0.835616409778595,0.7945205569267273,0.9682539701461792,0.8183908263842264,0.9384610750903822,0.9562471696775253,0.4868913732598608,1.038366876799485,MobileNet_v2,Adam,softmax,0,0,0,all_data__run01,False
,EarlyStopping__patience,baseline_acc_test,baseline_acc_test_2,baseline_acc_train,baseline_acc_valid,dataset_name,dataset_variant,fit__batch_size,fit__epoch,h1_Dropout,h1_activation,h1_unit_size,method,method_group,method_variant,metrics,model,model_ID,model_acc_test,model_acc_test_2,model_acc_train,model_acc_valid,model_loss_test,model_loss_test_2,model_loss_train,model_loss_valid,module,optimizer,out_activation,pca,pca_components_used,random_state_nr,run_name,unit_test
0,3,0.726027397260274,0.726027397260274,0.7278911564625851,0.7379310344827587,ham10000_workshop,cancer_detection_and_classification,16,100,0.5,relu,36,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,0,0.7397260069847107,0.767123281955719,0.7694633404413859,0.7563218275705973,0.7538822807677804,0.7711139247842032,0.7006870479135016,0.839734095985862,MobileNet_v2,Adam,softmax,0,0,0,small_subset_data__run01,False
1,3,0.726027397260274,0.726027397260274,0.7278911564625851,0.7379310344827587,ham10000_workshop,cancer_detection_and_classification,16,100,0.5,relu,72,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,1,0.7945205569267273,0.7397260069847107,0.8080120881398519,0.7609195311864217,0.7482779417952446,0.8023118221596496,0.644330244215708,0.818126680864685,MobileNet_v2,Adam,softmax,0,0,0,small_subset_data__run01,False
2,3,0.726027397260274,0.726027397260274,0.7278911564625851,0.7379310344827587,ham10000_workshop,cancer_detection_and_classification,16,100,0.5,relu,144,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,2,0.7808219194412231,0.7808219194412231,0.8873771627744039,0.7793103456497192,0.7978977471181791,0.7760042882945439,0.5361437923017993,0.8748821185580615,MobileNet_v2,Adam,softmax,0,0,0,small_subset_data__run01,False
3,3,0.726027397260274,0.726027397260274,0.7278911564625851,0.7379310344827587,ham10000_workshop,cancer_detection_and_classification,16,100,0.5,relu,288,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,3,0.7808219194412231,0.7808219194412231,0.906273623307546,0.7839080492655436,1.0381327328616625,1.0562074478358439,0.6318580994800646,1.0611110022698325,MobileNet_v2,Adam,softmax,0,0,0,small_subset_data__run01,False
4,3,0.726027397260274,0.726027397260274,0.7278911564625851,0.7379310344827587,ham10000_workshop,cancer_detection_and_classification,32,100,0.5,relu,36,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,4,0.767123281955719,0.767123281955719,0.7974300781885783,0.7701149384180704,0.7113990914331724,0.7393411675544634,0.6071637641140123,0.8154429064399894,MobileNet_v2,Adam,softmax,0,0,0,small_subset_data__run01,False
5,3,0.726027397260274,0.726027397260274,0.7278911564625851,0.7379310344827587,ham10000_workshop,cancer_detection_and_classification,32,100,0.5,relu,72,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,5,0.7945205569267273,0.7945205569267273,0.9055177569389343,0.7931034564971924,0.6946221345091519,0.7945345003310949,0.41211806036087034,0.8262693214005438,MobileNet_v2,Adam,softmax,0,0,0,small_subset_data__run01,False
6,3,0.726027397260274,0.726027397260274,0.7278911564625851,0.7379310344827587,ham10000_workshop,cancer_detection_and_classification,32,100,0.5,relu,144,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,6,0.8219178318977356,0.7808219194412231,0.9319727818171183,0.7862069010734558,0.7824683058751772,0.7916999418441564,0.4206646273330766,0.9046016823286297,MobileNet_v2,Adam,softmax,0,0,0,small_subset_data__run01,False
7,3,0.726027397260274,0.726027397260274,0.7278911564625851,0.7379310344827587,ham10000_workshop,cancer_detection_and_classification,32,100,0.5,relu,288,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,7,0.835616409778595,0.7808219194412231,0.947089950243632,0.7954023083051046,1.0034645322250992,1.0356429015120414,0.5098887751342127,1.089103011838321,MobileNet_v2,Adam,softmax,0,0,0,small_subset_data__run01,False
8,3,0.726027397260274,0.726027397260274,0.7278911564625851,0.7379310344827587,ham10000_workshop,cancer_detection_and_classification,64,100,0.5,relu,36,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,8,0.767123281955719,0.7397260069847107,0.7966742316881815,0.7563218275705973,0.7508381196897324,0.755445075361696,0.6409286644453365,0.834000721471063,MobileNet_v2,Adam,softmax,0,0,0,small_subset_data__run01,False
9,3,0.726027397260274,0.726027397260274,0.7278911564625851,0.7379310344827587,ham10000_workshop,cancer_detection_and_classification,64,100,0.5,relu,72,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,9,0.7945205569267273,0.7397260069847107,0.8586545586585999,0.7908046046892802,0.7445711893578099,0.8092115807206663,0.525890462703085,0.8242987269642709,MobileNet_v2,Adam,softmax,0,0,0,small_subset_data__run01,False
10,3,0.726027397260274,0.726027397260274,0.7278911564625851,0.7379310344827587,ham10000_workshop,cancer_detection_and_classification,64,100,0.5,relu,144,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,10,0.7534246444702148,0.8082191944122314,0.8647014498710632,0.7655172348022461,0.8691965259917794,0.8395018659225882,0.6274624923729842,0.9072557646652748,MobileNet_v2,Adam,softmax,0,0,0,small_subset_data__run01,False
11,3,0.726027397260274,0.726027397260274,0.7278911564625851,0.7379310344827587,ham10000_workshop,cancer_detection_and_classification,64,100,0.5,relu,288,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,11,0.835616409778595,0.7945205569267273,0.9266817768414816,0.8068965673446655,1.03908741637452,1.0196014463085017,0.6834384920195208,1.0796063804078377,MobileNet_v2,Adam,softmax,0,0,0,small_subset_data__run01,False
12,3,0.726027397260274,0.726027397260274,0.7278911564625851,0.7379310344827587,ham10000_workshop,cancer_detection_and_classification,128,100,0.5,relu,36,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,12,0.7808219194412231,0.7808219194412231,0.7823129296302795,0.7471264203389486,0.7398910293840382,0.7519834825437363,0.6709468964366235,0.8909654659786445,MobileNet_v2,Adam,softmax,0,0,0,small_subset_data__run01,False
13,3,0.726027397260274,0.726027397260274,0.7278911564625851,0.7379310344827587,ham10000_workshop,cancer_detection_and_classification,128,100,0.5,relu,72,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,13,0.7260273694992065,0.7534246444702148,0.7785336375236511,0.751724123954773,0.8813026702567323,0.8733535466128832,0.786529543403415,0.8865683973520652,MobileNet_v2,Adam,softmax,0,0,0,small_subset_data__run01,False
14,3,0.726027397260274,0.726027397260274,0.7278911564625851,0.7379310344827587,ham10000_workshop,cancer_detection_and_classification,128,100,0.5,relu,144,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,14,0.8082191944122314,0.7808219194412231,0.882086177666982,0.7839080492655436,0.8600192429268196,0.8374719783051373,0.5729526105651509,0.9122380521105624,MobileNet_v2,Adam,softmax,0,0,0,small_subset_data__run01,False
15,3,0.726027397260274,0.726027397260274,0.7278911564625851,0.7379310344827587,ham10000_workshop,cancer_detection_and_classification,128,100,0.5,relu,288,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,15,0.8219178318977356,0.7945205569267273,0.9841270049413046,0.8229885300000509,0.9975741595438082,0.9842899368233877,0.44663136436104867,1.0666278244435103,MobileNet_v2,Adam,softmax,0,0,0,small_subset_data__run01,False
,EarlyStopping__patience,baseline_acc_test,baseline_acc_test_2,baseline_acc_train,baseline_acc_valid,dataset_name,dataset_variant,fit__batch_size,fit__epoch,h1_Dropout,h1_activation,h1_unit_size,method,method_group,method_variant,metrics,model,model_ID,model_acc_test,model_acc_test_2,model_acc_train,model_acc_valid,model_loss_test,model_loss_test_2,model_loss_train,model_loss_valid,module,optimizer,out_activation,pca,pca_components_used,random_state_nr,run_name,unit_test
0,3,0.7397260273972602,0.7397260273972602,0.7381489841986456,0.7414965986394558,ham10000_workshop,cancer_risk_groups,16,100,0.5,relu,144,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,0,0.835616409778595,0.8219178318977356,0.890895406405131,0.8344671130180359,0.5114212264753368,0.6518699061380674,0.4236003355570894,0.578169508923749,BiT_M_Resnet101,Adam,softmax,0,0,0,all_data__run01,False
1,3,0.7397260273972602,0.7397260273972602,0.7381489841986456,0.7414965986394558,ham10000_workshop,cancer_risk_groups,64,100,0.5,relu,144,dense_nn,cnn_transfer_learning,two_layers_Adam,['acc'],two_layers,1,0.8630136847496033,0.8082191944122314,0.8886380592981974,0.836734672387441,0.602178446234089,0.7078872804772364,0.44930601864492564,0.6094568820497076,BiT_M_Resnet101,Adam,softmax,0,0,0,all_data__run01,False
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