immuneML: Selection Details

Selection for assessment split 1 - label GILGFVFTL

In the table below, the performance for each hyperparameter setting (combination of preprocessing (if any), encoding and ML model) on each of validation split is shown along with the average performance for the optimization metric (if applicable). The hyperparameter setting chosen as optimal (the best average performance) is shown in bold.

Hyperparameter settings (preprocessing, encoding, ML method)	Performance (auc)					Average
	Split 1	Split 2	Split 3	Split 4	Split 5	Average
one_hot_cnn	0.871	0.826	0.864	0.835	0.844	0.848
tcrdist_enc_tcrdist_cls	0.919	0.877	0.946	0.905	0.903	0.91
kmer_frequency_logistic_regression	0.916	0.89	0.929	0.898	0.93	0.913

If the selection strategy was set to random (randomly split to training and validation datasets) and training percentage was set to 1 (meaning that all data will be used for training), the performance in the table above will not be computed, since no validation data will be available.

The tables below show the performance for each hyperparameter setting across selection splits for different metrics which were not used for optimization.

Balanced Accuracy

Hyperparameter settings (preprocessing, encoding, ML method)	split 1	split 2	split 3	split 4	split 5
one_hot_cnn	0.804	0.767	0.791	0.787	0.765
tcrdist_enc_tcrdist_cls	0.778	0.725	0.799	0.776	0.748
kmer_frequency_logistic_regression	0.872	0.822	0.855	0.84	0.868

Precision

Hyperparameter settings (preprocessing, encoding, ML method)	split 1	split 2	split 3	split 4	split 5
one_hot_cnn	0.838	0.821	0.811	0.839	0.812
tcrdist_enc_tcrdist_cls	0.732	0.674	0.726	0.719	0.722
kmer_frequency_logistic_regression	0.907	0.84	0.858	0.844	0.916

Recall

Hyperparameter settings (preprocessing, encoding, ML method)	split 1	split 2	split 3	split 4	split 5
one_hot_cnn	0.76	0.68	0.75	0.699	0.721
tcrdist_enc_tcrdist_cls	0.897	0.859	0.936	0.87	0.885
kmer_frequency_logistic_regression	0.832	0.792	0.843	0.822	0.823

Reports on training and validation datasets

The reports below are obtained from the datasets after they were split to training and validation datasets for each of the splits, before any preprocessing, encoding or model training.

Split 1

Download exported data in GLIPH2 format report (training data)

Download exported data in GLIPH2 format report (validation data)

Split 2

Download exported data in GLIPH2 format report (training data)

Download exported data in GLIPH2 format report (validation data)

Split 3

Download exported data in GLIPH2 format report (training data)

Download exported data in GLIPH2 format report (validation data)

Split 4

Download exported data in GLIPH2 format report (training data)

Download exported data in GLIPH2 format report (validation data)

Split 5

Download exported data in GLIPH2 format report (training data)

Download exported data in GLIPH2 format report (validation data)

Reports per hyperparameter setting

The reports below are obtained for each split to training and validation datasets separately, after encoding or training a machine learning model, as noted below.

Hyperparameter setting: one_hot_cnn

Split 1

ML model reports

alpha_kernel_3_1

alpha_kernel_3_2

alpha_kernel_3_3

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fully-connected layer weights

Split 2

ML model reports

alpha_kernel_3_1

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beta_kernel_6_45

beta_kernel_6_46

beta_kernel_6_47

beta_kernel_6_48

beta_kernel_6_49

beta_kernel_6_50

fully-connected layer weights

Split 3

ML model reports

alpha_kernel_3_1

alpha_kernel_3_2

alpha_kernel_3_3

alpha_kernel_3_4

alpha_kernel_3_5

alpha_kernel_3_6

alpha_kernel_3_7

alpha_kernel_3_8

alpha_kernel_3_9

alpha_kernel_3_10

alpha_kernel_3_11

alpha_kernel_3_12

alpha_kernel_3_13

alpha_kernel_3_14

alpha_kernel_3_15

alpha_kernel_3_16

alpha_kernel_3_17

alpha_kernel_3_18

alpha_kernel_3_19

alpha_kernel_3_20

alpha_kernel_3_21

alpha_kernel_3_22

alpha_kernel_3_23

alpha_kernel_3_24

alpha_kernel_3_25

alpha_kernel_3_26

alpha_kernel_3_27

alpha_kernel_3_28

alpha_kernel_3_29

alpha_kernel_3_30

alpha_kernel_3_31

alpha_kernel_3_32

alpha_kernel_3_33

alpha_kernel_3_34

alpha_kernel_3_35

alpha_kernel_3_36

alpha_kernel_3_37

alpha_kernel_3_38

alpha_kernel_3_39

alpha_kernel_3_40

alpha_kernel_3_41

alpha_kernel_3_42

alpha_kernel_3_43

alpha_kernel_3_44

alpha_kernel_3_45

alpha_kernel_3_46

alpha_kernel_3_47

alpha_kernel_3_48

alpha_kernel_3_49

alpha_kernel_3_50

alpha_kernel_4_1

alpha_kernel_4_2

alpha_kernel_4_3

alpha_kernel_4_4

alpha_kernel_4_5

alpha_kernel_4_6

alpha_kernel_4_7

alpha_kernel_4_8

alpha_kernel_4_9

alpha_kernel_4_10

alpha_kernel_4_11

alpha_kernel_4_12

alpha_kernel_4_13

alpha_kernel_4_14

alpha_kernel_4_15

alpha_kernel_4_16

alpha_kernel_4_17

alpha_kernel_4_18

alpha_kernel_4_19

alpha_kernel_4_20

alpha_kernel_4_21

alpha_kernel_4_22

alpha_kernel_4_23

alpha_kernel_4_24

alpha_kernel_4_25

alpha_kernel_4_26

alpha_kernel_4_27

alpha_kernel_4_28

alpha_kernel_4_29

alpha_kernel_4_30

alpha_kernel_4_31

alpha_kernel_4_32

alpha_kernel_4_33

alpha_kernel_4_34

alpha_kernel_4_35

alpha_kernel_4_36

alpha_kernel_4_37

alpha_kernel_4_38

alpha_kernel_4_39

alpha_kernel_4_40

alpha_kernel_4_41

alpha_kernel_4_42

alpha_kernel_4_43

alpha_kernel_4_44

alpha_kernel_4_45

alpha_kernel_4_46

alpha_kernel_4_47

alpha_kernel_4_48

alpha_kernel_4_49

alpha_kernel_4_50

alpha_kernel_5_1

alpha_kernel_5_2

alpha_kernel_5_3

alpha_kernel_5_4

alpha_kernel_5_5

alpha_kernel_5_6

alpha_kernel_5_7

alpha_kernel_5_8

alpha_kernel_5_9

alpha_kernel_5_10

alpha_kernel_5_11

alpha_kernel_5_12

alpha_kernel_5_13

alpha_kernel_5_14

alpha_kernel_5_15

alpha_kernel_5_16

alpha_kernel_5_17

alpha_kernel_5_18

alpha_kernel_5_19

alpha_kernel_5_20

alpha_kernel_5_21

alpha_kernel_5_22

alpha_kernel_5_23

alpha_kernel_5_24

alpha_kernel_5_25

alpha_kernel_5_26

alpha_kernel_5_27

alpha_kernel_5_28

alpha_kernel_5_29

alpha_kernel_5_30

alpha_kernel_5_31

alpha_kernel_5_32

alpha_kernel_5_33

alpha_kernel_5_34

alpha_kernel_5_35

alpha_kernel_5_36

alpha_kernel_5_37

alpha_kernel_5_38

alpha_kernel_5_39

alpha_kernel_5_40

alpha_kernel_5_41

alpha_kernel_5_42

alpha_kernel_5_43

alpha_kernel_5_44

alpha_kernel_5_45

alpha_kernel_5_46

alpha_kernel_5_47

alpha_kernel_5_48

alpha_kernel_5_49

alpha_kernel_5_50

alpha_kernel_6_1

alpha_kernel_6_2

alpha_kernel_6_3

alpha_kernel_6_4

alpha_kernel_6_5

alpha_kernel_6_6

alpha_kernel_6_7

alpha_kernel_6_8

alpha_kernel_6_9

alpha_kernel_6_10

alpha_kernel_6_11

alpha_kernel_6_12

alpha_kernel_6_13

alpha_kernel_6_14

alpha_kernel_6_15

alpha_kernel_6_16

alpha_kernel_6_17

alpha_kernel_6_18

alpha_kernel_6_19

alpha_kernel_6_20

alpha_kernel_6_21

alpha_kernel_6_22

alpha_kernel_6_23

alpha_kernel_6_24

alpha_kernel_6_25

alpha_kernel_6_26

alpha_kernel_6_27

alpha_kernel_6_28

alpha_kernel_6_29

alpha_kernel_6_30

alpha_kernel_6_31

alpha_kernel_6_32

alpha_kernel_6_33

alpha_kernel_6_34

alpha_kernel_6_35

alpha_kernel_6_36

alpha_kernel_6_37

alpha_kernel_6_38

alpha_kernel_6_39

alpha_kernel_6_40

alpha_kernel_6_41

alpha_kernel_6_42

alpha_kernel_6_43

alpha_kernel_6_44

alpha_kernel_6_45

alpha_kernel_6_46

alpha_kernel_6_47

alpha_kernel_6_48

alpha_kernel_6_49

alpha_kernel_6_50

beta_kernel_3_1

beta_kernel_3_2

beta_kernel_3_3

beta_kernel_3_4

beta_kernel_3_5

beta_kernel_3_6

beta_kernel_3_7

beta_kernel_3_8

beta_kernel_3_9

beta_kernel_3_10

beta_kernel_3_11

beta_kernel_3_12

beta_kernel_3_13

beta_kernel_3_14

beta_kernel_3_15

beta_kernel_3_16

beta_kernel_3_17

beta_kernel_3_18

beta_kernel_3_19

beta_kernel_3_20

beta_kernel_3_21

beta_kernel_3_22

beta_kernel_3_23

beta_kernel_3_24

beta_kernel_3_25

beta_kernel_3_26

beta_kernel_3_27

beta_kernel_3_28

beta_kernel_3_29

beta_kernel_3_30

beta_kernel_3_31

beta_kernel_3_32

beta_kernel_3_33

beta_kernel_3_34

beta_kernel_3_35

beta_kernel_3_36

beta_kernel_3_37

beta_kernel_3_38

beta_kernel_3_39

beta_kernel_3_40

beta_kernel_3_41

beta_kernel_3_42

beta_kernel_3_43

beta_kernel_3_44

beta_kernel_3_45

beta_kernel_3_46

beta_kernel_3_47

beta_kernel_3_48

beta_kernel_3_49

beta_kernel_3_50

beta_kernel_4_1

beta_kernel_4_2

beta_kernel_4_3

beta_kernel_4_4

beta_kernel_4_5

beta_kernel_4_6

beta_kernel_4_7

beta_kernel_4_8

beta_kernel_4_9

beta_kernel_4_10

beta_kernel_4_11

beta_kernel_4_12

beta_kernel_4_13

beta_kernel_4_14

beta_kernel_4_15

beta_kernel_4_16

beta_kernel_4_17

beta_kernel_4_18

beta_kernel_4_19

beta_kernel_4_20

beta_kernel_4_21

beta_kernel_4_22

beta_kernel_4_23

beta_kernel_4_24

beta_kernel_4_25

beta_kernel_4_26

beta_kernel_4_27

beta_kernel_4_28

beta_kernel_4_29

beta_kernel_4_30

beta_kernel_4_31

beta_kernel_4_32

beta_kernel_4_33

beta_kernel_4_34

beta_kernel_4_35

beta_kernel_4_36

beta_kernel_4_37

beta_kernel_4_38

beta_kernel_4_39

beta_kernel_4_40

beta_kernel_4_41

beta_kernel_4_42

beta_kernel_4_43

beta_kernel_4_44

beta_kernel_4_45

beta_kernel_4_46

beta_kernel_4_47

beta_kernel_4_48

beta_kernel_4_49

beta_kernel_4_50

beta_kernel_5_1

beta_kernel_5_2

beta_kernel_5_3

beta_kernel_5_4

beta_kernel_5_5

beta_kernel_5_6

beta_kernel_5_7

beta_kernel_5_8

beta_kernel_5_9

beta_kernel_5_10

beta_kernel_5_11

beta_kernel_5_12

beta_kernel_5_13

beta_kernel_5_14

beta_kernel_5_15

beta_kernel_5_16

beta_kernel_5_17

beta_kernel_5_18

beta_kernel_5_19

beta_kernel_5_20

beta_kernel_5_21

beta_kernel_5_22

beta_kernel_5_23

beta_kernel_5_24

beta_kernel_5_25

beta_kernel_5_26

beta_kernel_5_27

beta_kernel_5_28

beta_kernel_5_29

beta_kernel_5_30

beta_kernel_5_31

beta_kernel_5_32

beta_kernel_5_33

beta_kernel_5_34

beta_kernel_5_35

beta_kernel_5_36

beta_kernel_5_37

beta_kernel_5_38

beta_kernel_5_39

beta_kernel_5_40

beta_kernel_5_41

beta_kernel_5_42

beta_kernel_5_43

beta_kernel_5_44

beta_kernel_5_45

beta_kernel_5_46

beta_kernel_5_47

beta_kernel_5_48

beta_kernel_5_49

beta_kernel_5_50

beta_kernel_6_1

beta_kernel_6_2

beta_kernel_6_3

beta_kernel_6_4

beta_kernel_6_5

beta_kernel_6_6

beta_kernel_6_7

beta_kernel_6_8

beta_kernel_6_9

beta_kernel_6_10

beta_kernel_6_11

beta_kernel_6_12

beta_kernel_6_13

beta_kernel_6_14

beta_kernel_6_15

beta_kernel_6_16

beta_kernel_6_17

beta_kernel_6_18

beta_kernel_6_19

beta_kernel_6_20

beta_kernel_6_21

beta_kernel_6_22

beta_kernel_6_23

beta_kernel_6_24

beta_kernel_6_25

beta_kernel_6_26

beta_kernel_6_27

beta_kernel_6_28

beta_kernel_6_29

beta_kernel_6_30

beta_kernel_6_31

beta_kernel_6_32

beta_kernel_6_33

beta_kernel_6_34

beta_kernel_6_35

beta_kernel_6_36

beta_kernel_6_37

beta_kernel_6_38

beta_kernel_6_39

beta_kernel_6_40

beta_kernel_6_41

beta_kernel_6_42

beta_kernel_6_43

beta_kernel_6_44

beta_kernel_6_45

beta_kernel_6_46

beta_kernel_6_47

beta_kernel_6_48

beta_kernel_6_49

beta_kernel_6_50

fully-connected layer weights

Split 4

ML model reports

alpha_kernel_3_1

alpha_kernel_3_2

alpha_kernel_3_3

alpha_kernel_3_4

alpha_kernel_3_5

alpha_kernel_3_6

alpha_kernel_3_7

alpha_kernel_3_8

alpha_kernel_3_9

alpha_kernel_3_10

alpha_kernel_3_11

alpha_kernel_3_12

alpha_kernel_3_13

alpha_kernel_3_14

alpha_kernel_3_15

alpha_kernel_3_16

alpha_kernel_3_17

alpha_kernel_3_18

alpha_kernel_3_19

alpha_kernel_3_20

alpha_kernel_3_21

alpha_kernel_3_22

alpha_kernel_3_23

alpha_kernel_3_24

alpha_kernel_3_25

alpha_kernel_3_26

alpha_kernel_3_27

alpha_kernel_3_28

alpha_kernel_3_29

alpha_kernel_3_30

alpha_kernel_3_31

alpha_kernel_3_32

alpha_kernel_3_33

alpha_kernel_3_34

alpha_kernel_3_35

alpha_kernel_3_36

alpha_kernel_3_37

alpha_kernel_3_38

alpha_kernel_3_39

alpha_kernel_3_40

alpha_kernel_3_41

alpha_kernel_3_42

alpha_kernel_3_43

alpha_kernel_3_44

alpha_kernel_3_45

alpha_kernel_3_46

alpha_kernel_3_47

alpha_kernel_3_48

alpha_kernel_3_49

alpha_kernel_3_50

alpha_kernel_4_1

alpha_kernel_4_2

alpha_kernel_4_3

alpha_kernel_4_4

alpha_kernel_4_5

alpha_kernel_4_6

alpha_kernel_4_7

alpha_kernel_4_8

alpha_kernel_4_9

alpha_kernel_4_10

alpha_kernel_4_11

alpha_kernel_4_12

alpha_kernel_4_13

alpha_kernel_4_14

alpha_kernel_4_15

alpha_kernel_4_16

alpha_kernel_4_17

alpha_kernel_4_18

alpha_kernel_4_19

alpha_kernel_4_20

alpha_kernel_4_21

alpha_kernel_4_22

alpha_kernel_4_23

alpha_kernel_4_24

alpha_kernel_4_25

alpha_kernel_4_26

alpha_kernel_4_27

alpha_kernel_4_28

alpha_kernel_4_29

alpha_kernel_4_30

alpha_kernel_4_31

alpha_kernel_4_32

alpha_kernel_4_33

alpha_kernel_4_34

alpha_kernel_4_35

alpha_kernel_4_36

alpha_kernel_4_37

alpha_kernel_4_38

alpha_kernel_4_39

alpha_kernel_4_40

alpha_kernel_4_41

alpha_kernel_4_42

alpha_kernel_4_43

alpha_kernel_4_44

alpha_kernel_4_45

alpha_kernel_4_46

alpha_kernel_4_47

alpha_kernel_4_48

alpha_kernel_4_49

alpha_kernel_4_50

alpha_kernel_5_1

alpha_kernel_5_2

alpha_kernel_5_3

alpha_kernel_5_4

alpha_kernel_5_5

alpha_kernel_5_6

alpha_kernel_5_7

alpha_kernel_5_8

alpha_kernel_5_9

alpha_kernel_5_10

alpha_kernel_5_11

alpha_kernel_5_12

alpha_kernel_5_13

alpha_kernel_5_14

alpha_kernel_5_15

alpha_kernel_5_16

alpha_kernel_5_17

alpha_kernel_5_18

alpha_kernel_5_19

alpha_kernel_5_20

alpha_kernel_5_21

alpha_kernel_5_22

alpha_kernel_5_23

alpha_kernel_5_24

alpha_kernel_5_25

alpha_kernel_5_26

alpha_kernel_5_27

alpha_kernel_5_28

alpha_kernel_5_29

alpha_kernel_5_30

alpha_kernel_5_31

alpha_kernel_5_32

alpha_kernel_5_33

alpha_kernel_5_34

alpha_kernel_5_35

alpha_kernel_5_36

alpha_kernel_5_37

alpha_kernel_5_38

alpha_kernel_5_39

alpha_kernel_5_40

alpha_kernel_5_41

alpha_kernel_5_42

alpha_kernel_5_43

alpha_kernel_5_44

alpha_kernel_5_45

alpha_kernel_5_46

alpha_kernel_5_47

alpha_kernel_5_48

alpha_kernel_5_49

alpha_kernel_5_50

alpha_kernel_6_1

alpha_kernel_6_2

alpha_kernel_6_3

alpha_kernel_6_4

alpha_kernel_6_5

alpha_kernel_6_6

alpha_kernel_6_7

alpha_kernel_6_8

alpha_kernel_6_9

alpha_kernel_6_10

alpha_kernel_6_11

alpha_kernel_6_12

alpha_kernel_6_13

alpha_kernel_6_14

alpha_kernel_6_15

alpha_kernel_6_16

alpha_kernel_6_17

alpha_kernel_6_18

alpha_kernel_6_19

alpha_kernel_6_20

alpha_kernel_6_21

alpha_kernel_6_22

alpha_kernel_6_23

alpha_kernel_6_24

alpha_kernel_6_25

alpha_kernel_6_26

alpha_kernel_6_27

alpha_kernel_6_28

alpha_kernel_6_29

alpha_kernel_6_30

alpha_kernel_6_31

alpha_kernel_6_32

alpha_kernel_6_33

alpha_kernel_6_34

alpha_kernel_6_35

alpha_kernel_6_36

alpha_kernel_6_37

alpha_kernel_6_38

alpha_kernel_6_39

alpha_kernel_6_40

alpha_kernel_6_41

alpha_kernel_6_42

alpha_kernel_6_43

alpha_kernel_6_44

alpha_kernel_6_45

alpha_kernel_6_46

alpha_kernel_6_47

alpha_kernel_6_48

alpha_kernel_6_49

alpha_kernel_6_50

beta_kernel_3_1

beta_kernel_3_2

beta_kernel_3_3

beta_kernel_3_4

beta_kernel_3_5

beta_kernel_3_6

beta_kernel_3_7

beta_kernel_3_8

beta_kernel_3_9

beta_kernel_3_10

beta_kernel_3_11

beta_kernel_3_12

beta_kernel_3_13

beta_kernel_3_14

beta_kernel_3_15

beta_kernel_3_16

beta_kernel_3_17

beta_kernel_3_18

beta_kernel_3_19

beta_kernel_3_20

beta_kernel_3_21

beta_kernel_3_22

beta_kernel_3_23

beta_kernel_3_24

beta_kernel_3_25

beta_kernel_3_26

beta_kernel_3_27

beta_kernel_3_28

beta_kernel_3_29

beta_kernel_3_30

beta_kernel_3_31

beta_kernel_3_32

beta_kernel_3_33

beta_kernel_3_34

beta_kernel_3_35

beta_kernel_3_36

beta_kernel_3_37

beta_kernel_3_38

beta_kernel_3_39

beta_kernel_3_40

beta_kernel_3_41

beta_kernel_3_42

beta_kernel_3_43

beta_kernel_3_44

beta_kernel_3_45

beta_kernel_3_46

beta_kernel_3_47

beta_kernel_3_48

beta_kernel_3_49

beta_kernel_3_50

beta_kernel_4_1

beta_kernel_4_2

beta_kernel_4_3

beta_kernel_4_4

beta_kernel_4_5

beta_kernel_4_6

beta_kernel_4_7

beta_kernel_4_8

beta_kernel_4_9

beta_kernel_4_10

beta_kernel_4_11

beta_kernel_4_12

beta_kernel_4_13

beta_kernel_4_14

beta_kernel_4_15

beta_kernel_4_16

beta_kernel_4_17

beta_kernel_4_18

beta_kernel_4_19

beta_kernel_4_20

beta_kernel_4_21

beta_kernel_4_22

beta_kernel_4_23

beta_kernel_4_24

beta_kernel_4_25

beta_kernel_4_26

beta_kernel_4_27

beta_kernel_4_28

beta_kernel_4_29

beta_kernel_4_30

beta_kernel_4_31

beta_kernel_4_32

beta_kernel_4_33

beta_kernel_4_34

beta_kernel_4_35

beta_kernel_4_36

beta_kernel_4_37

beta_kernel_4_38

beta_kernel_4_39

beta_kernel_4_40

beta_kernel_4_41

beta_kernel_4_42

beta_kernel_4_43

beta_kernel_4_44

beta_kernel_4_45

beta_kernel_4_46

beta_kernel_4_47

beta_kernel_4_48

beta_kernel_4_49

beta_kernel_4_50

beta_kernel_5_1

beta_kernel_5_2

beta_kernel_5_3

beta_kernel_5_4

beta_kernel_5_5

beta_kernel_5_6

beta_kernel_5_7

beta_kernel_5_8

beta_kernel_5_9

beta_kernel_5_10

beta_kernel_5_11

beta_kernel_5_12

beta_kernel_5_13

beta_kernel_5_14

beta_kernel_5_15

beta_kernel_5_16

beta_kernel_5_17

beta_kernel_5_18

beta_kernel_5_19

beta_kernel_5_20

beta_kernel_5_21

beta_kernel_5_22

beta_kernel_5_23

beta_kernel_5_24

beta_kernel_5_25

beta_kernel_5_26

beta_kernel_5_27

beta_kernel_5_28

beta_kernel_5_29

beta_kernel_5_30

beta_kernel_5_31

beta_kernel_5_32

beta_kernel_5_33

beta_kernel_5_34

beta_kernel_5_35

beta_kernel_5_36

beta_kernel_5_37

beta_kernel_5_38

beta_kernel_5_39

beta_kernel_5_40

beta_kernel_5_41

beta_kernel_5_42

beta_kernel_5_43

beta_kernel_5_44

beta_kernel_5_45

beta_kernel_5_46

beta_kernel_5_47

beta_kernel_5_48

beta_kernel_5_49

beta_kernel_5_50

beta_kernel_6_1

beta_kernel_6_2

beta_kernel_6_3

beta_kernel_6_4

beta_kernel_6_5

beta_kernel_6_6

beta_kernel_6_7

beta_kernel_6_8

beta_kernel_6_9

beta_kernel_6_10

beta_kernel_6_11

beta_kernel_6_12

beta_kernel_6_13

beta_kernel_6_14

beta_kernel_6_15

beta_kernel_6_16

beta_kernel_6_17

beta_kernel_6_18

beta_kernel_6_19

beta_kernel_6_20

beta_kernel_6_21

beta_kernel_6_22

beta_kernel_6_23

beta_kernel_6_24

beta_kernel_6_25

beta_kernel_6_26

beta_kernel_6_27

beta_kernel_6_28

beta_kernel_6_29

beta_kernel_6_30

beta_kernel_6_31

beta_kernel_6_32

beta_kernel_6_33

beta_kernel_6_34

beta_kernel_6_35

beta_kernel_6_36

beta_kernel_6_37

beta_kernel_6_38

beta_kernel_6_39

beta_kernel_6_40

beta_kernel_6_41

beta_kernel_6_42

beta_kernel_6_43

beta_kernel_6_44

beta_kernel_6_45

beta_kernel_6_46

beta_kernel_6_47

beta_kernel_6_48

beta_kernel_6_49

beta_kernel_6_50

fully-connected layer weights

Split 5

ML model reports

alpha_kernel_3_1

alpha_kernel_3_2

alpha_kernel_3_3

alpha_kernel_3_4

alpha_kernel_3_5

alpha_kernel_3_6

alpha_kernel_3_7

alpha_kernel_3_8

alpha_kernel_3_9

alpha_kernel_3_10

alpha_kernel_3_11

alpha_kernel_3_12

alpha_kernel_3_13

alpha_kernel_3_14

alpha_kernel_3_15

alpha_kernel_3_16

alpha_kernel_3_17

alpha_kernel_3_18

alpha_kernel_3_19

alpha_kernel_3_20

alpha_kernel_3_21

alpha_kernel_3_22

alpha_kernel_3_23

alpha_kernel_3_24

alpha_kernel_3_25

alpha_kernel_3_26

alpha_kernel_3_27

alpha_kernel_3_28

alpha_kernel_3_29

alpha_kernel_3_30

alpha_kernel_3_31

alpha_kernel_3_32

alpha_kernel_3_33

alpha_kernel_3_34

alpha_kernel_3_35

alpha_kernel_3_36

alpha_kernel_3_37

alpha_kernel_3_38

alpha_kernel_3_39

alpha_kernel_3_40

alpha_kernel_3_41

alpha_kernel_3_42

alpha_kernel_3_43

alpha_kernel_3_44

alpha_kernel_3_45

alpha_kernel_3_46

alpha_kernel_3_47

alpha_kernel_3_48

alpha_kernel_3_49

alpha_kernel_3_50

alpha_kernel_4_1

alpha_kernel_4_2

alpha_kernel_4_3

alpha_kernel_4_4

alpha_kernel_4_5

alpha_kernel_4_6

alpha_kernel_4_7

alpha_kernel_4_8

alpha_kernel_4_9

alpha_kernel_4_10

alpha_kernel_4_11

alpha_kernel_4_12

alpha_kernel_4_13

alpha_kernel_4_14

alpha_kernel_4_15

alpha_kernel_4_16

alpha_kernel_4_17

alpha_kernel_4_18

alpha_kernel_4_19

alpha_kernel_4_20

alpha_kernel_4_21

alpha_kernel_4_22

alpha_kernel_4_23

alpha_kernel_4_24

alpha_kernel_4_25

alpha_kernel_4_26

alpha_kernel_4_27

alpha_kernel_4_28

alpha_kernel_4_29

alpha_kernel_4_30

alpha_kernel_4_31

alpha_kernel_4_32

alpha_kernel_4_33

alpha_kernel_4_34

alpha_kernel_4_35

alpha_kernel_4_36

alpha_kernel_4_37

alpha_kernel_4_38

alpha_kernel_4_39

alpha_kernel_4_40

alpha_kernel_4_41

alpha_kernel_4_42

alpha_kernel_4_43

alpha_kernel_4_44

alpha_kernel_4_45

alpha_kernel_4_46

alpha_kernel_4_47

alpha_kernel_4_48

alpha_kernel_4_49

alpha_kernel_4_50

alpha_kernel_5_1

alpha_kernel_5_2

alpha_kernel_5_3

alpha_kernel_5_4

alpha_kernel_5_5

alpha_kernel_5_6

alpha_kernel_5_7

alpha_kernel_5_8

alpha_kernel_5_9

alpha_kernel_5_10

alpha_kernel_5_11

alpha_kernel_5_12

alpha_kernel_5_13

alpha_kernel_5_14

alpha_kernel_5_15

alpha_kernel_5_16

alpha_kernel_5_17

alpha_kernel_5_18

alpha_kernel_5_19

alpha_kernel_5_20

alpha_kernel_5_21

alpha_kernel_5_22

alpha_kernel_5_23

alpha_kernel_5_24

alpha_kernel_5_25

alpha_kernel_5_26

alpha_kernel_5_27

alpha_kernel_5_28

alpha_kernel_5_29

alpha_kernel_5_30

alpha_kernel_5_31

alpha_kernel_5_32

alpha_kernel_5_33

alpha_kernel_5_34

alpha_kernel_5_35

alpha_kernel_5_36

alpha_kernel_5_37

alpha_kernel_5_38

alpha_kernel_5_39

alpha_kernel_5_40

alpha_kernel_5_41

alpha_kernel_5_42

alpha_kernel_5_43

alpha_kernel_5_44

alpha_kernel_5_45

alpha_kernel_5_46

alpha_kernel_5_47

alpha_kernel_5_48

alpha_kernel_5_49

alpha_kernel_5_50

alpha_kernel_6_1

alpha_kernel_6_2

alpha_kernel_6_3

alpha_kernel_6_4

alpha_kernel_6_5

alpha_kernel_6_6

alpha_kernel_6_7

alpha_kernel_6_8

alpha_kernel_6_9

alpha_kernel_6_10

alpha_kernel_6_11

alpha_kernel_6_12

alpha_kernel_6_13

alpha_kernel_6_14

alpha_kernel_6_15

alpha_kernel_6_16

alpha_kernel_6_17

alpha_kernel_6_18

alpha_kernel_6_19

alpha_kernel_6_20

alpha_kernel_6_21

alpha_kernel_6_22

alpha_kernel_6_23

alpha_kernel_6_24

alpha_kernel_6_25

alpha_kernel_6_26

alpha_kernel_6_27

alpha_kernel_6_28

alpha_kernel_6_29

alpha_kernel_6_30

alpha_kernel_6_31

alpha_kernel_6_32

alpha_kernel_6_33

alpha_kernel_6_34

alpha_kernel_6_35

alpha_kernel_6_36

alpha_kernel_6_37

alpha_kernel_6_38

alpha_kernel_6_39

alpha_kernel_6_40

alpha_kernel_6_41

alpha_kernel_6_42

alpha_kernel_6_43

alpha_kernel_6_44

alpha_kernel_6_45

alpha_kernel_6_46

alpha_kernel_6_47

alpha_kernel_6_48

alpha_kernel_6_49

alpha_kernel_6_50

beta_kernel_3_1

beta_kernel_3_2

beta_kernel_3_3

beta_kernel_3_4

beta_kernel_3_5

beta_kernel_3_6

beta_kernel_3_7

beta_kernel_3_8

beta_kernel_3_9

beta_kernel_3_10

beta_kernel_3_11

beta_kernel_3_12

beta_kernel_3_13

beta_kernel_3_14

beta_kernel_3_15

beta_kernel_3_16

beta_kernel_3_17

beta_kernel_3_18

beta_kernel_3_19

beta_kernel_3_20

beta_kernel_3_21

beta_kernel_3_22

beta_kernel_3_23

beta_kernel_3_24

beta_kernel_3_25

beta_kernel_3_26

beta_kernel_3_27

beta_kernel_3_28

beta_kernel_3_29

beta_kernel_3_30

beta_kernel_3_31

beta_kernel_3_32

beta_kernel_3_33

beta_kernel_3_34

beta_kernel_3_35

beta_kernel_3_36

beta_kernel_3_37

beta_kernel_3_38

beta_kernel_3_39

beta_kernel_3_40

beta_kernel_3_41

beta_kernel_3_42

beta_kernel_3_43

beta_kernel_3_44

beta_kernel_3_45

beta_kernel_3_46

beta_kernel_3_47

beta_kernel_3_48

beta_kernel_3_49

beta_kernel_3_50

beta_kernel_4_1

beta_kernel_4_2

beta_kernel_4_3

beta_kernel_4_4

beta_kernel_4_5

beta_kernel_4_6

beta_kernel_4_7

beta_kernel_4_8

beta_kernel_4_9

beta_kernel_4_10

beta_kernel_4_11

beta_kernel_4_12

beta_kernel_4_13

beta_kernel_4_14

beta_kernel_4_15

beta_kernel_4_16

beta_kernel_4_17

beta_kernel_4_18

beta_kernel_4_19

beta_kernel_4_20

beta_kernel_4_21

beta_kernel_4_22

beta_kernel_4_23

beta_kernel_4_24

beta_kernel_4_25

beta_kernel_4_26

beta_kernel_4_27

beta_kernel_4_28

beta_kernel_4_29

beta_kernel_4_30

beta_kernel_4_31

beta_kernel_4_32

beta_kernel_4_33

beta_kernel_4_34

beta_kernel_4_35

beta_kernel_4_36

beta_kernel_4_37

beta_kernel_4_38

beta_kernel_4_39

beta_kernel_4_40

beta_kernel_4_41

beta_kernel_4_42

beta_kernel_4_43

beta_kernel_4_44

beta_kernel_4_45

beta_kernel_4_46

beta_kernel_4_47

beta_kernel_4_48

beta_kernel_4_49

beta_kernel_4_50

beta_kernel_5_1

beta_kernel_5_2

beta_kernel_5_3

beta_kernel_5_4

beta_kernel_5_5

beta_kernel_5_6

beta_kernel_5_7

beta_kernel_5_8

beta_kernel_5_9

beta_kernel_5_10

beta_kernel_5_11

beta_kernel_5_12

beta_kernel_5_13

beta_kernel_5_14

beta_kernel_5_15

beta_kernel_5_16

beta_kernel_5_17

beta_kernel_5_18

beta_kernel_5_19

beta_kernel_5_20

beta_kernel_5_21

beta_kernel_5_22

beta_kernel_5_23

beta_kernel_5_24

beta_kernel_5_25

beta_kernel_5_26

beta_kernel_5_27

beta_kernel_5_28

beta_kernel_5_29

beta_kernel_5_30

beta_kernel_5_31

beta_kernel_5_32

beta_kernel_5_33

beta_kernel_5_34

beta_kernel_5_35

beta_kernel_5_36

beta_kernel_5_37

beta_kernel_5_38

beta_kernel_5_39

beta_kernel_5_40

beta_kernel_5_41

beta_kernel_5_42

beta_kernel_5_43

beta_kernel_5_44

beta_kernel_5_45

beta_kernel_5_46

beta_kernel_5_47

beta_kernel_5_48

beta_kernel_5_49

beta_kernel_5_50

beta_kernel_6_1

beta_kernel_6_2

beta_kernel_6_3

beta_kernel_6_4

beta_kernel_6_5

beta_kernel_6_6

beta_kernel_6_7

beta_kernel_6_8

beta_kernel_6_9

beta_kernel_6_10

beta_kernel_6_11

beta_kernel_6_12

beta_kernel_6_13

beta_kernel_6_14

beta_kernel_6_15

beta_kernel_6_16

beta_kernel_6_17

beta_kernel_6_18

beta_kernel_6_19

beta_kernel_6_20

beta_kernel_6_21

beta_kernel_6_22

beta_kernel_6_23

beta_kernel_6_24

beta_kernel_6_25

beta_kernel_6_26

beta_kernel_6_27

beta_kernel_6_28

beta_kernel_6_29

beta_kernel_6_30

beta_kernel_6_31

beta_kernel_6_32

beta_kernel_6_33

beta_kernel_6_34

beta_kernel_6_35

beta_kernel_6_36

beta_kernel_6_37

beta_kernel_6_38

beta_kernel_6_39

beta_kernel_6_40

beta_kernel_6_41

beta_kernel_6_42

beta_kernel_6_43

beta_kernel_6_44

beta_kernel_6_45

beta_kernel_6_46

beta_kernel_6_47

beta_kernel_6_48

beta_kernel_6_49

beta_kernel_6_50

fully-connected layer weights

Hyperparameter setting: tcrdist_enc_tcrdist_cls

Split 1

ML model reports

Motif 888 (alpha chain)

Motif 888 (beta chain)

Motif 899 (alpha chain)

Motif 899 (beta chain)

Motif 942 (alpha chain)

Motif 942 (beta chain)

Motif 946 (alpha chain)

Motif 946 (beta chain)

Motif 988 (alpha chain)

Motif 988 (beta chain)

Motif 1033 (alpha chain)

Motif 1033 (beta chain)

Motif 1047 (alpha chain)

Motif 1047 (beta chain)

Motif 1048 (alpha chain)

Motif 1048 (beta chain)

Motif 1061 (alpha chain)

Motif 1061 (beta chain)

Motif 1071 (alpha chain)

Motif 1071 (beta chain)

Motif 1085 (alpha chain)

Motif 1085 (beta chain)

Motif 1093 (alpha chain)

Motif 1093 (beta chain)

Motif 1101 (alpha chain)

Motif 1101 (beta chain)

Motif 1106 (alpha chain)

Motif 1106 (beta chain)

Motif 1115 (alpha chain)

Motif 1115 (beta chain)

Motif 1118 (alpha chain)

Motif 1118 (beta chain)

Motif 1126 (alpha chain)

Motif 1126 (beta chain)

Motif 1129 (alpha chain)

Motif 1129 (beta chain)

Motif 1131 (alpha chain)

Motif 1131 (beta chain)

Motif 1134 (alpha chain)

Motif 1134 (beta chain)

Motif 1135 (alpha chain)

Motif 1135 (beta chain)

Motif 1137 (alpha chain)

Motif 1137 (beta chain)

Motif 1138 (alpha chain)

Motif 1138 (beta chain)

Motif 1139 (alpha chain)

Motif 1139 (beta chain)

Motif 1140 (alpha chain)

Motif 1140 (beta chain)

Motif 1141 (alpha chain)

Motif 1141 (beta chain)

Motif 1142 (alpha chain)

Motif 1142 (beta chain)

Motif 1143 (alpha chain)

Motif 1143 (beta chain)

Motif 1144 (alpha chain)

Motif 1144 (beta chain)

Split 2

ML model reports

Motif 951 (alpha chain)

Motif 951 (beta chain)

Motif 972 (alpha chain)

Motif 972 (beta chain)

Motif 1005 (alpha chain)

Motif 1005 (beta chain)

Motif 1015 (alpha chain)

Motif 1015 (beta chain)

Motif 1025 (alpha chain)

Motif 1025 (beta chain)

Motif 1042 (alpha chain)

Motif 1042 (beta chain)

Motif 1055 (alpha chain)

Motif 1055 (beta chain)

Motif 1063 (alpha chain)

Motif 1063 (beta chain)

Motif 1065 (alpha chain)

Motif 1065 (beta chain)

Motif 1074 (alpha chain)

Motif 1074 (beta chain)

Motif 1093 (alpha chain)

Motif 1093 (beta chain)

Motif 1105 (alpha chain)

Motif 1105 (beta chain)

Motif 1108 (alpha chain)

Motif 1108 (beta chain)

Motif 1117 (alpha chain)

Motif 1117 (beta chain)

Motif 1125 (alpha chain)

Motif 1125 (beta chain)

Motif 1129 (alpha chain)

Motif 1129 (beta chain)

Motif 1134 (alpha chain)

Motif 1134 (beta chain)

Motif 1137 (alpha chain)

Motif 1137 (beta chain)

Motif 1141 (alpha chain)

Motif 1141 (beta chain)

Motif 1142 (alpha chain)

Motif 1142 (beta chain)

Motif 1144 (alpha chain)

Motif 1144 (beta chain)

Motif 1145 (alpha chain)

Motif 1145 (beta chain)

Motif 1146 (alpha chain)

Motif 1146 (beta chain)

Motif 1147 (alpha chain)

Motif 1147 (beta chain)

Motif 1148 (alpha chain)

Motif 1148 (beta chain)

Motif 1149 (alpha chain)

Motif 1149 (beta chain)

Motif 1150 (alpha chain)

Motif 1150 (beta chain)

Motif 1151 (alpha chain)

Motif 1151 (beta chain)

Motif 1152 (alpha chain)

Motif 1152 (beta chain)

Split 3

ML model reports

Motif 863 (alpha chain)

Motif 863 (beta chain)

Motif 875 (alpha chain)

Motif 875 (beta chain)

Motif 964 (alpha chain)

Motif 964 (beta chain)

Motif 1005 (alpha chain)

Motif 1005 (beta chain)

Motif 1011 (alpha chain)

Motif 1011 (beta chain)

Motif 1031 (alpha chain)

Motif 1031 (beta chain)

Motif 1034 (alpha chain)

Motif 1034 (beta chain)

Motif 1050 (alpha chain)

Motif 1050 (beta chain)

Motif 1061 (alpha chain)

Motif 1061 (beta chain)

Motif 1069 (alpha chain)

Motif 1069 (beta chain)

Motif 1086 (alpha chain)

Motif 1086 (beta chain)

Motif 1097 (alpha chain)

Motif 1097 (beta chain)

Motif 1106 (alpha chain)

Motif 1106 (beta chain)

Motif 1108 (alpha chain)

Motif 1108 (beta chain)

Motif 1116 (alpha chain)

Motif 1116 (beta chain)

Motif 1127 (alpha chain)

Motif 1127 (beta chain)

Motif 1131 (alpha chain)

Motif 1131 (beta chain)

Motif 1143 (alpha chain)

Motif 1143 (beta chain)

Motif 1145 (alpha chain)

Motif 1145 (beta chain)

Motif 1147 (alpha chain)

Motif 1147 (beta chain)

Motif 1148 (alpha chain)

Motif 1148 (beta chain)

Motif 1150 (alpha chain)

Motif 1150 (beta chain)

Motif 1151 (alpha chain)

Motif 1151 (beta chain)

Motif 1152 (alpha chain)

Motif 1152 (beta chain)

Motif 1153 (alpha chain)

Motif 1153 (beta chain)

Motif 1154 (alpha chain)

Motif 1154 (beta chain)

Motif 1155 (alpha chain)

Motif 1155 (beta chain)

Motif 1156 (alpha chain)

Motif 1156 (beta chain)

Split 4

ML model reports

Motif 816 (alpha chain)

Motif 816 (beta chain)

Motif 951 (alpha chain)

Motif 951 (beta chain)

Motif 979 (alpha chain)

Motif 979 (beta chain)

Motif 1015 (alpha chain)

Motif 1015 (beta chain)

Motif 1019 (alpha chain)

Motif 1019 (beta chain)

Motif 1023 (alpha chain)

Motif 1023 (beta chain)

Motif 1041 (alpha chain)

Motif 1041 (beta chain)

Motif 1047 (alpha chain)

Motif 1047 (beta chain)

Motif 1059 (alpha chain)

Motif 1059 (beta chain)

Motif 1065 (alpha chain)

Motif 1065 (beta chain)

Motif 1072 (alpha chain)

Motif 1072 (beta chain)

Motif 1090 (alpha chain)

Motif 1090 (beta chain)

Motif 1108 (alpha chain)

Motif 1108 (beta chain)

Motif 1113 (alpha chain)

Motif 1113 (beta chain)

Motif 1121 (alpha chain)

Motif 1121 (beta chain)

Motif 1122 (alpha chain)

Motif 1122 (beta chain)

Motif 1127 (alpha chain)

Motif 1127 (beta chain)

Motif 1135 (alpha chain)

Motif 1135 (beta chain)

Motif 1144 (alpha chain)

Motif 1144 (beta chain)

Motif 1145 (alpha chain)

Motif 1145 (beta chain)

Motif 1147 (alpha chain)

Motif 1147 (beta chain)

Motif 1151 (alpha chain)

Motif 1151 (beta chain)

Motif 1153 (alpha chain)

Motif 1153 (beta chain)

Motif 1155 (alpha chain)

Motif 1155 (beta chain)

Motif 1156 (alpha chain)

Motif 1156 (beta chain)

Motif 1157 (alpha chain)

Motif 1157 (beta chain)

Motif 1158 (alpha chain)

Motif 1158 (beta chain)

Motif 1159 (alpha chain)

Motif 1159 (beta chain)

Motif 1160 (alpha chain)

Motif 1160 (beta chain)

Split 5

ML model reports

Motif 798 (alpha chain)

Motif 798 (beta chain)

Motif 936 (alpha chain)

Motif 936 (beta chain)

Motif 972 (alpha chain)

Motif 972 (beta chain)

Motif 1009 (alpha chain)

Motif 1009 (beta chain)

Motif 1019 (alpha chain)

Motif 1019 (beta chain)

Motif 1023 (alpha chain)

Motif 1023 (beta chain)

Motif 1045 (alpha chain)

Motif 1045 (beta chain)

Motif 1058 (alpha chain)

Motif 1058 (beta chain)

Motif 1074 (alpha chain)

Motif 1074 (beta chain)

Motif 1081 (alpha chain)

Motif 1081 (beta chain)

Motif 1087 (alpha chain)

Motif 1087 (beta chain)

Motif 1094 (alpha chain)

Motif 1094 (beta chain)

Motif 1095 (alpha chain)

Motif 1095 (beta chain)

Motif 1101 (alpha chain)

Motif 1101 (beta chain)

Motif 1118 (alpha chain)

Motif 1118 (beta chain)

Motif 1121 (alpha chain)

Motif 1121 (beta chain)

Motif 1123 (alpha chain)

Motif 1123 (beta chain)

Motif 1125 (alpha chain)

Motif 1125 (beta chain)

Motif 1127 (alpha chain)

Motif 1127 (beta chain)

Motif 1128 (alpha chain)

Motif 1128 (beta chain)

Motif 1130 (alpha chain)

Motif 1130 (beta chain)

Motif 1131 (alpha chain)

Selection for assessment split 1 - label GILGFVFTL

Balanced Accuracy

Precision

Recall

Reports on training and validation datasets

Reports per hyperparameter setting

Hyperparameter setting: one_hot_cnn

Split 1

ML model reports

Split 2

ML model reports

Split 3

ML model reports

Split 4

ML model reports

Split 5

ML model reports

Hyperparameter setting: tcrdist_enc_tcrdist_cls

Split 1

ML model reports

Split 2

ML model reports

Split 3

ML model reports

Split 4

ML model reports

Split 5

ML model reports

Hyperparameter setting: kmer_frequency_logistic_regression

Split 1

ML model reports

Split 2

ML model reports

Split 3

ML model reports

Split 4

ML model reports

Split 5

ML model reports