Overview
This pipeline utilizes a random forest model to predict properties of groups outside the training set. A validation set is utilized to check the predictions. Results are dependent on the before used filter method in Data_Overview.qmd.
Model Creation
Parameter Testing
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
pred_lists built for 4 validation groups
Final Model
All Combination
|
Trees
|
mtry
|
Min. Nodes
|
Val-R² (mean)
|
R2 σ_m
|
R2 ε_m
|
R2 σ_b
|
R2 ε_b
|
OOB σ_m
|
OOB ε_m
|
OOB σ_b
|
OOB ε_b
|
|
700
|
2
|
17
|
0.438
|
0.742
|
0.495
|
0.669
|
-0.153
|
0.851
|
0.679
|
0.834
|
0.696
|
|
700
|
2
|
15
|
0.437
|
0.745
|
0.509
|
0.667
|
-0.174
|
0.865
|
0.696
|
0.847
|
0.706
|
|
600
|
2
|
15
|
0.435
|
0.743
|
0.506
|
0.667
|
-0.174
|
0.864
|
0.695
|
0.846
|
0.704
|
|
600
|
2
|
17
|
0.435
|
0.740
|
0.492
|
0.667
|
-0.158
|
0.848
|
0.678
|
0.832
|
0.694
|
|
600
|
2
|
13
|
0.432
|
0.744
|
0.518
|
0.663
|
-0.199
|
0.877
|
0.712
|
0.860
|
0.710
|
|
700
|
2
|
13
|
0.432
|
0.745
|
0.521
|
0.662
|
-0.201
|
0.878
|
0.712
|
0.861
|
0.712
|
|
500
|
2
|
15
|
0.429
|
0.740
|
0.500
|
0.666
|
-0.191
|
0.865
|
0.696
|
0.845
|
0.705
|
|
200
|
2
|
15
|
0.428
|
0.743
|
0.492
|
0.667
|
-0.190
|
0.865
|
0.694
|
0.847
|
0.701
|
|
300
|
2
|
15
|
0.428
|
0.739
|
0.490
|
0.667
|
-0.183
|
0.866
|
0.695
|
0.847
|
0.703
|
|
400
|
2
|
15
|
0.427
|
0.738
|
0.489
|
0.663
|
-0.182
|
0.865
|
0.694
|
0.846
|
0.703
|
|
500
|
2
|
17
|
0.427
|
0.736
|
0.486
|
0.666
|
-0.178
|
0.850
|
0.677
|
0.831
|
0.695
|
|
400
|
2
|
13
|
0.426
|
0.740
|
0.502
|
0.662
|
-0.202
|
0.878
|
0.710
|
0.859
|
0.710
|
|
500
|
2
|
13
|
0.426
|
0.742
|
0.512
|
0.664
|
-0.213
|
0.877
|
0.712
|
0.859
|
0.711
|
|
200
|
2
|
17
|
0.426
|
0.734
|
0.483
|
0.669
|
-0.183
|
0.846
|
0.672
|
0.828
|
0.687
|
|
300
|
2
|
13
|
0.425
|
0.741
|
0.505
|
0.667
|
-0.213
|
0.879
|
0.711
|
0.859
|
0.712
|
|
300
|
2
|
17
|
0.425
|
0.734
|
0.479
|
0.668
|
-0.181
|
0.850
|
0.676
|
0.832
|
0.692
|
|
400
|
2
|
17
|
0.425
|
0.735
|
0.476
|
0.665
|
-0.175
|
0.849
|
0.675
|
0.830
|
0.692
|
|
200
|
2
|
13
|
0.423
|
0.747
|
0.502
|
0.670
|
-0.227
|
0.875
|
0.711
|
0.858
|
0.708
|
|
600
|
2
|
11
|
0.421
|
0.741
|
0.527
|
0.651
|
-0.233
|
0.886
|
0.724
|
0.870
|
0.717
|
|
700
|
2
|
11
|
0.420
|
0.742
|
0.528
|
0.650
|
-0.239
|
0.887
|
0.725
|
0.870
|
0.718
|
|
600
|
2
|
9
|
0.418
|
0.743
|
0.535
|
0.650
|
-0.256
|
0.894
|
0.734
|
0.878
|
0.722
|
|
700
|
2
|
9
|
0.415
|
0.742
|
0.534
|
0.648
|
-0.265
|
0.894
|
0.734
|
0.878
|
0.723
|
|
500
|
2
|
11
|
0.415
|
0.739
|
0.522
|
0.652
|
-0.251
|
0.886
|
0.724
|
0.870
|
0.718
|
|
300
|
2
|
11
|
0.413
|
0.739
|
0.515
|
0.656
|
-0.259
|
0.888
|
0.723
|
0.871
|
0.718
|
|
300
|
2
|
7
|
0.411
|
0.733
|
0.521
|
0.649
|
-0.261
|
0.899
|
0.744
|
0.883
|
0.723
|
|
300
|
2
|
9
|
0.411
|
0.738
|
0.521
|
0.652
|
-0.268
|
0.895
|
0.733
|
0.879
|
0.723
|
|
400
|
2
|
11
|
0.411
|
0.737
|
0.512
|
0.651
|
-0.254
|
0.887
|
0.723
|
0.870
|
0.718
|
|
600
|
2
|
7
|
0.410
|
0.739
|
0.535
|
0.645
|
-0.279
|
0.898
|
0.743
|
0.883
|
0.724
|
|
400
|
2
|
9
|
0.409
|
0.738
|
0.519
|
0.652
|
-0.271
|
0.895
|
0.734
|
0.879
|
0.723
|
|
500
|
2
|
9
|
0.409
|
0.740
|
0.528
|
0.650
|
-0.282
|
0.894
|
0.734
|
0.878
|
0.723
|
|
400
|
2
|
7
|
0.406
|
0.734
|
0.520
|
0.651
|
-0.279
|
0.899
|
0.744
|
0.883
|
0.724
|
|
700
|
2
|
7
|
0.406
|
0.738
|
0.535
|
0.644
|
-0.291
|
0.899
|
0.743
|
0.883
|
0.725
|
|
200
|
2
|
11
|
0.405
|
0.747
|
0.511
|
0.660
|
-0.296
|
0.885
|
0.722
|
0.870
|
0.716
|
|
200
|
2
|
7
|
0.404
|
0.741
|
0.517
|
0.654
|
-0.295
|
0.896
|
0.742
|
0.881
|
0.722
|
|
500
|
2
|
7
|
0.404
|
0.736
|
0.530
|
0.646
|
-0.298
|
0.898
|
0.743
|
0.883
|
0.724
|
|
300
|
2
|
5
|
0.402
|
0.733
|
0.521
|
0.645
|
-0.292
|
0.901
|
0.747
|
0.885
|
0.725
|
|
600
|
2
|
5
|
0.402
|
0.738
|
0.536
|
0.644
|
-0.308
|
0.900
|
0.746
|
0.885
|
0.726
|
|
200
|
2
|
9
|
0.402
|
0.744
|
0.517
|
0.654
|
-0.308
|
0.891
|
0.734
|
0.876
|
0.723
|
|
300
|
2
|
3
|
0.399
|
0.733
|
0.521
|
0.644
|
-0.302
|
0.901
|
0.747
|
0.885
|
0.726
|
|
600
|
2
|
3
|
0.399
|
0.738
|
0.535
|
0.643
|
-0.320
|
0.900
|
0.746
|
0.885
|
0.726
|
|
700
|
2
|
5
|
0.399
|
0.738
|
0.535
|
0.641
|
-0.317
|
0.900
|
0.746
|
0.885
|
0.726
|
|
400
|
2
|
5
|
0.397
|
0.733
|
0.520
|
0.649
|
-0.315
|
0.901
|
0.747
|
0.886
|
0.725
|
|
700
|
2
|
3
|
0.396
|
0.737
|
0.535
|
0.640
|
-0.329
|
0.901
|
0.746
|
0.885
|
0.727
|
|
200
|
2
|
5
|
0.396
|
0.739
|
0.519
|
0.649
|
-0.323
|
0.898
|
0.745
|
0.883
|
0.724
|
|
500
|
2
|
5
|
0.396
|
0.735
|
0.530
|
0.644
|
-0.326
|
0.900
|
0.746
|
0.885
|
0.725
|
|
700
|
3
|
17
|
0.396
|
0.720
|
0.571
|
0.618
|
-0.326
|
0.897
|
0.723
|
0.883
|
0.712
|
|
600
|
3
|
17
|
0.395
|
0.721
|
0.567
|
0.618
|
-0.325
|
0.897
|
0.722
|
0.883
|
0.711
|
|
400
|
2
|
3
|
0.394
|
0.732
|
0.519
|
0.648
|
-0.324
|
0.902
|
0.748
|
0.886
|
0.726
|
|
200
|
2
|
3
|
0.393
|
0.740
|
0.520
|
0.649
|
-0.339
|
0.898
|
0.745
|
0.883
|
0.725
|
|
200
|
3
|
13
|
0.393
|
0.721
|
0.579
|
0.616
|
-0.343
|
0.903
|
0.747
|
0.887
|
0.724
|
|
200
|
3
|
15
|
0.393
|
0.724
|
0.562
|
0.618
|
-0.331
|
0.901
|
0.738
|
0.884
|
0.716
|
|
300
|
3
|
15
|
0.393
|
0.726
|
0.564
|
0.615
|
-0.332
|
0.899
|
0.738
|
0.885
|
0.722
|
|
500
|
2
|
3
|
0.392
|
0.735
|
0.529
|
0.643
|
-0.340
|
0.900
|
0.746
|
0.885
|
0.726
|
|
700
|
3
|
15
|
0.392
|
0.717
|
0.578
|
0.614
|
-0.341
|
0.901
|
0.737
|
0.887
|
0.719
|
|
300
|
3
|
17
|
0.392
|
0.726
|
0.555
|
0.619
|
-0.333
|
0.895
|
0.723
|
0.880
|
0.714
|
|
600
|
3
|
15
|
0.391
|
0.717
|
0.574
|
0.615
|
-0.341
|
0.900
|
0.736
|
0.886
|
0.719
|
|
400
|
3
|
17
|
0.391
|
0.721
|
0.556
|
0.616
|
-0.329
|
0.896
|
0.721
|
0.881
|
0.709
|
|
500
|
3
|
17
|
0.391
|
0.720
|
0.561
|
0.614
|
-0.331
|
0.896
|
0.720
|
0.882
|
0.711
|
|
300
|
3
|
13
|
0.390
|
0.723
|
0.579
|
0.610
|
-0.351
|
0.902
|
0.748
|
0.888
|
0.728
|
|
400
|
3
|
15
|
0.390
|
0.720
|
0.564
|
0.613
|
-0.335
|
0.900
|
0.736
|
0.885
|
0.718
|
|
200
|
3
|
17
|
0.389
|
0.724
|
0.552
|
0.617
|
-0.337
|
0.897
|
0.723
|
0.880
|
0.709
|
|
500
|
3
|
15
|
0.388
|
0.718
|
0.569
|
0.611
|
-0.344
|
0.900
|
0.735
|
0.886
|
0.719
|
|
400
|
3
|
13
|
0.386
|
0.717
|
0.579
|
0.607
|
-0.361
|
0.902
|
0.748
|
0.888
|
0.723
|
|
700
|
3
|
13
|
0.384
|
0.714
|
0.587
|
0.606
|
-0.370
|
0.904
|
0.747
|
0.890
|
0.723
|
|
600
|
3
|
13
|
0.383
|
0.713
|
0.584
|
0.606
|
-0.370
|
0.903
|
0.747
|
0.889
|
0.723
|
|
500
|
3
|
13
|
0.381
|
0.715
|
0.580
|
0.604
|
-0.374
|
0.903
|
0.745
|
0.888
|
0.724
|
|
200
|
3
|
11
|
0.377
|
0.716
|
0.585
|
0.602
|
-0.396
|
0.903
|
0.756
|
0.889
|
0.726
|
|
700
|
3
|
11
|
0.371
|
0.709
|
0.596
|
0.595
|
-0.417
|
0.905
|
0.756
|
0.891
|
0.727
|
|
300
|
3
|
11
|
0.369
|
0.717
|
0.587
|
0.594
|
-0.423
|
0.903
|
0.757
|
0.890
|
0.730
|
|
400
|
3
|
11
|
0.368
|
0.712
|
0.588
|
0.595
|
-0.424
|
0.904
|
0.757
|
0.890
|
0.727
|
|
600
|
3
|
11
|
0.367
|
0.707
|
0.592
|
0.595
|
-0.426
|
0.905
|
0.755
|
0.890
|
0.727
|
|
600
|
4
|
15
|
0.367
|
0.677
|
0.619
|
0.581
|
-0.408
|
0.905
|
0.744
|
0.891
|
0.713
|
|
700
|
4
|
15
|
0.367
|
0.678
|
0.620
|
0.581
|
-0.410
|
0.905
|
0.744
|
0.891
|
0.714
|
|
600
|
5
|
15
|
0.367
|
0.677
|
0.619
|
0.581
|
-0.408
|
0.905
|
0.744
|
0.891
|
0.713
|
|
700
|
5
|
15
|
0.367
|
0.678
|
0.620
|
0.581
|
-0.410
|
0.905
|
0.744
|
0.891
|
0.714
|
|
600
|
4
|
13
|
0.366
|
0.676
|
0.627
|
0.576
|
-0.415
|
0.905
|
0.754
|
0.891
|
0.716
|
|
600
|
5
|
13
|
0.366
|
0.676
|
0.627
|
0.576
|
-0.415
|
0.905
|
0.754
|
0.891
|
0.716
|
|
600
|
4
|
17
|
0.366
|
0.678
|
0.606
|
0.582
|
-0.403
|
0.904
|
0.729
|
0.890
|
0.709
|
|
600
|
5
|
17
|
0.366
|
0.678
|
0.606
|
0.582
|
-0.403
|
0.904
|
0.729
|
0.890
|
0.709
|
|
400
|
4
|
17
|
0.365
|
0.675
|
0.601
|
0.580
|
-0.396
|
0.904
|
0.732
|
0.889
|
0.709
|
|
700
|
4
|
17
|
0.365
|
0.679
|
0.608
|
0.582
|
-0.407
|
0.903
|
0.729
|
0.890
|
0.711
|
|
400
|
5
|
17
|
0.365
|
0.675
|
0.601
|
0.580
|
-0.396
|
0.904
|
0.732
|
0.889
|
0.709
|
|
700
|
5
|
17
|
0.365
|
0.679
|
0.608
|
0.582
|
-0.407
|
0.903
|
0.729
|
0.890
|
0.711
|
|
500
|
3
|
11
|
0.364
|
0.709
|
0.588
|
0.592
|
-0.433
|
0.904
|
0.756
|
0.890
|
0.727
|
|
700
|
4
|
13
|
0.364
|
0.676
|
0.629
|
0.576
|
-0.424
|
0.905
|
0.754
|
0.891
|
0.718
|
|
700
|
5
|
13
|
0.364
|
0.676
|
0.629
|
0.576
|
-0.424
|
0.905
|
0.754
|
0.891
|
0.718
|
|
400
|
4
|
15
|
0.364
|
0.675
|
0.611
|
0.579
|
-0.409
|
0.905
|
0.745
|
0.890
|
0.712
|
|
500
|
4
|
15
|
0.364
|
0.677
|
0.616
|
0.580
|
-0.419
|
0.905
|
0.744
|
0.891
|
0.713
|
|
400
|
5
|
15
|
0.364
|
0.675
|
0.611
|
0.579
|
-0.409
|
0.905
|
0.745
|
0.890
|
0.712
|
|
500
|
5
|
15
|
0.364
|
0.677
|
0.616
|
0.580
|
-0.419
|
0.905
|
0.744
|
0.891
|
0.713
|
|
500
|
4
|
17
|
0.364
|
0.678
|
0.605
|
0.582
|
-0.409
|
0.904
|
0.730
|
0.890
|
0.710
|
|
500
|
5
|
17
|
0.364
|
0.678
|
0.605
|
0.582
|
-0.409
|
0.904
|
0.730
|
0.890
|
0.710
|
|
400
|
4
|
13
|
0.363
|
0.673
|
0.622
|
0.574
|
-0.416
|
0.905
|
0.756
|
0.890
|
0.716
|
|
400
|
5
|
13
|
0.363
|
0.673
|
0.622
|
0.574
|
-0.416
|
0.905
|
0.756
|
0.890
|
0.716
|
|
500
|
4
|
13
|
0.362
|
0.675
|
0.624
|
0.575
|
-0.426
|
0.905
|
0.754
|
0.891
|
0.716
|
|
500
|
5
|
13
|
0.362
|
0.675
|
0.624
|
0.575
|
-0.426
|
0.905
|
0.754
|
0.891
|
0.716
|
|
200
|
3
|
9
|
0.361
|
0.710
|
0.581
|
0.584
|
-0.432
|
0.904
|
0.759
|
0.890
|
0.729
|
|
300
|
4
|
13
|
0.361
|
0.674
|
0.623
|
0.574
|
-0.425
|
0.905
|
0.757
|
0.891
|
0.721
|
|
300
|
5
|
13
|
0.361
|
0.674
|
0.623
|
0.574
|
-0.425
|
0.905
|
0.757
|
0.891
|
0.721
|
|
300
|
4
|
15
|
0.361
|
0.675
|
0.612
|
0.579
|
-0.420
|
0.905
|
0.746
|
0.891
|
0.718
|
|
300
|
5
|
15
|
0.361
|
0.675
|
0.612
|
0.579
|
-0.420
|
0.905
|
0.746
|
0.891
|
0.718
|
|
200
|
4
|
13
|
0.360
|
0.674
|
0.624
|
0.579
|
-0.438
|
0.905
|
0.756
|
0.890
|
0.720
|
|
200
|
5
|
13
|
0.360
|
0.674
|
0.624
|
0.579
|
-0.438
|
0.905
|
0.756
|
0.890
|
0.720
|
|
300
|
4
|
17
|
0.360
|
0.675
|
0.601
|
0.579
|
-0.416
|
0.903
|
0.732
|
0.890
|
0.714
|
|
300
|
5
|
17
|
0.360
|
0.675
|
0.601
|
0.579
|
-0.416
|
0.903
|
0.732
|
0.890
|
0.714
|
|
700
|
3
|
9
|
0.359
|
0.704
|
0.595
|
0.583
|
-0.447
|
0.905
|
0.757
|
0.891
|
0.728
|
|
200
|
4
|
17
|
0.359
|
0.675
|
0.601
|
0.585
|
-0.425
|
0.904
|
0.733
|
0.890
|
0.711
|
|
200
|
5
|
17
|
0.359
|
0.675
|
0.601
|
0.585
|
-0.425
|
0.904
|
0.733
|
0.890
|
0.711
|
|
600
|
4
|
11
|
0.357
|
0.673
|
0.633
|
0.568
|
-0.445
|
0.905
|
0.758
|
0.890
|
0.721
|
|
700
|
4
|
11
|
0.357
|
0.674
|
0.635
|
0.568
|
-0.448
|
0.905
|
0.759
|
0.891
|
0.722
|
|
600
|
5
|
11
|
0.357
|
0.673
|
0.633
|
0.568
|
-0.445
|
0.905
|
0.758
|
0.890
|
0.721
|
|
700
|
5
|
11
|
0.357
|
0.674
|
0.635
|
0.568
|
-0.448
|
0.905
|
0.759
|
0.891
|
0.722
|
|
200
|
4
|
15
|
0.357
|
0.675
|
0.610
|
0.584
|
-0.440
|
0.905
|
0.746
|
0.891
|
0.716
|
|
200
|
5
|
15
|
0.357
|
0.675
|
0.610
|
0.584
|
-0.440
|
0.905
|
0.746
|
0.891
|
0.716
|
|
200
|
3
|
7
|
0.356
|
0.709
|
0.584
|
0.577
|
-0.447
|
0.905
|
0.760
|
0.890
|
0.731
|
|
600
|
3
|
9
|
0.356
|
0.702
|
0.591
|
0.582
|
-0.452
|
0.905
|
0.756
|
0.890
|
0.728
|
|
400
|
4
|
11
|
0.355
|
0.671
|
0.631
|
0.565
|
-0.447
|
0.905
|
0.761
|
0.890
|
0.721
|
|
400
|
5
|
11
|
0.355
|
0.671
|
0.631
|
0.565
|
-0.447
|
0.905
|
0.761
|
0.890
|
0.721
|
|
200
|
3
|
3
|
0.353
|
0.709
|
0.592
|
0.573
|
-0.461
|
0.904
|
0.758
|
0.890
|
0.730
|
|
300
|
4
|
11
|
0.353
|
0.673
|
0.630
|
0.564
|
-0.456
|
0.904
|
0.761
|
0.890
|
0.724
|
|
500
|
4
|
11
|
0.353
|
0.674
|
0.631
|
0.567
|
-0.459
|
0.905
|
0.759
|
0.890
|
0.721
|
|
300
|
5
|
11
|
0.353
|
0.673
|
0.630
|
0.564
|
-0.456
|
0.904
|
0.761
|
0.890
|
0.724
|
|
500
|
5
|
11
|
0.353
|
0.674
|
0.631
|
0.567
|
-0.459
|
0.905
|
0.759
|
0.890
|
0.721
|
|
200
|
3
|
5
|
0.352
|
0.709
|
0.588
|
0.576
|
-0.463
|
0.904
|
0.759
|
0.890
|
0.731
|
|
400
|
3
|
9
|
0.351
|
0.707
|
0.586
|
0.580
|
-0.469
|
0.905
|
0.760
|
0.890
|
0.729
|
|
200
|
4
|
11
|
0.351
|
0.674
|
0.630
|
0.570
|
-0.470
|
0.905
|
0.761
|
0.890
|
0.722
|
|
200
|
5
|
11
|
0.351
|
0.674
|
0.630
|
0.570
|
-0.470
|
0.905
|
0.761
|
0.890
|
0.722
|
|
300
|
3
|
9
|
0.350
|
0.713
|
0.586
|
0.577
|
-0.477
|
0.904
|
0.760
|
0.890
|
0.732
|
|
600
|
4
|
9
|
0.350
|
0.672
|
0.633
|
0.564
|
-0.467
|
0.905
|
0.757
|
0.890
|
0.724
|
|
700
|
4
|
9
|
0.350
|
0.673
|
0.635
|
0.563
|
-0.470
|
0.905
|
0.757
|
0.890
|
0.725
|
|
600
|
5
|
9
|
0.350
|
0.672
|
0.633
|
0.564
|
-0.467
|
0.905
|
0.757
|
0.890
|
0.724
|
|
700
|
5
|
9
|
0.350
|
0.673
|
0.635
|
0.563
|
-0.470
|
0.905
|
0.757
|
0.890
|
0.725
|
|
300
|
4
|
9
|
0.349
|
0.673
|
0.629
|
0.561
|
-0.466
|
0.905
|
0.760
|
0.890
|
0.728
|
|
300
|
5
|
9
|
0.349
|
0.673
|
0.629
|
0.561
|
-0.466
|
0.905
|
0.760
|
0.890
|
0.728
|
|
700
|
3
|
7
|
0.348
|
0.703
|
0.593
|
0.576
|
-0.478
|
0.905
|
0.757
|
0.891
|
0.729
|
|
500
|
3
|
9
|
0.348
|
0.704
|
0.585
|
0.578
|
-0.474
|
0.905
|
0.758
|
0.890
|
0.729
|
|
200
|
4
|
9
|
0.347
|
0.674
|
0.628
|
0.564
|
-0.477
|
0.904
|
0.759
|
0.889
|
0.726
|
|
400
|
4
|
9
|
0.347
|
0.670
|
0.632
|
0.561
|
-0.473
|
0.904
|
0.760
|
0.889
|
0.725
|
|
500
|
4
|
9
|
0.347
|
0.673
|
0.631
|
0.562
|
-0.477
|
0.904
|
0.758
|
0.890
|
0.725
|
|
200
|
5
|
9
|
0.347
|
0.674
|
0.628
|
0.564
|
-0.477
|
0.904
|
0.759
|
0.889
|
0.726
|
|
400
|
5
|
9
|
0.347
|
0.670
|
0.632
|
0.561
|
-0.473
|
0.904
|
0.760
|
0.889
|
0.725
|
|
500
|
5
|
9
|
0.347
|
0.673
|
0.631
|
0.562
|
-0.477
|
0.904
|
0.758
|
0.890
|
0.725
|
|
600
|
3
|
7
|
0.346
|
0.701
|
0.589
|
0.574
|
-0.479
|
0.905
|
0.756
|
0.891
|
0.728
|
|
300
|
3
|
7
|
0.345
|
0.711
|
0.586
|
0.572
|
-0.489
|
0.905
|
0.760
|
0.891
|
0.732
|
|
400
|
3
|
7
|
0.342
|
0.706
|
0.584
|
0.574
|
-0.495
|
0.905
|
0.759
|
0.890
|
0.730
|
|
300
|
3
|
3
|
0.341
|
0.711
|
0.588
|
0.569
|
-0.502
|
0.904
|
0.758
|
0.890
|
0.731
|
|
300
|
3
|
5
|
0.341
|
0.711
|
0.586
|
0.571
|
-0.502
|
0.905
|
0.759
|
0.890
|
0.731
|
|
300
|
4
|
7
|
0.341
|
0.673
|
0.627
|
0.555
|
-0.493
|
0.904
|
0.757
|
0.890
|
0.727
|
|
300
|
5
|
7
|
0.341
|
0.673
|
0.627
|
0.555
|
-0.493
|
0.904
|
0.757
|
0.890
|
0.727
|
|
700
|
3
|
5
|
0.340
|
0.702
|
0.593
|
0.573
|
-0.506
|
0.905
|
0.754
|
0.891
|
0.728
|
|
500
|
3
|
7
|
0.340
|
0.703
|
0.585
|
0.572
|
-0.500
|
0.905
|
0.758
|
0.890
|
0.729
|
|
600
|
3
|
5
|
0.339
|
0.700
|
0.588
|
0.572
|
-0.504
|
0.905
|
0.754
|
0.891
|
0.727
|
|
700
|
3
|
3
|
0.338
|
0.701
|
0.594
|
0.571
|
-0.513
|
0.904
|
0.753
|
0.890
|
0.728
|
|
200
|
4
|
5
|
0.338
|
0.670
|
0.626
|
0.556
|
-0.501
|
0.903
|
0.756
|
0.888
|
0.728
|
|
200
|
5
|
5
|
0.338
|
0.670
|
0.626
|
0.556
|
-0.501
|
0.903
|
0.756
|
0.888
|
0.728
|
|
200
|
4
|
7
|
0.338
|
0.672
|
0.625
|
0.558
|
-0.503
|
0.903
|
0.758
|
0.889
|
0.728
|
|
600
|
4
|
7
|
0.338
|
0.670
|
0.632
|
0.556
|
-0.507
|
0.904
|
0.753
|
0.890
|
0.724
|
|
200
|
5
|
7
|
0.338
|
0.672
|
0.625
|
0.558
|
-0.503
|
0.903
|
0.758
|
0.889
|
0.728
|
|
600
|
5
|
7
|
0.338
|
0.670
|
0.632
|
0.556
|
-0.507
|
0.904
|
0.753
|
0.890
|
0.724
|
|
400
|
4
|
7
|
0.337
|
0.669
|
0.632
|
0.553
|
-0.505
|
0.904
|
0.756
|
0.890
|
0.725
|
|
700
|
4
|
7
|
0.337
|
0.671
|
0.634
|
0.555
|
-0.513
|
0.904
|
0.753
|
0.890
|
0.725
|
|
400
|
5
|
7
|
0.337
|
0.669
|
0.632
|
0.553
|
-0.505
|
0.904
|
0.756
|
0.890
|
0.725
|
|
700
|
5
|
7
|
0.337
|
0.671
|
0.634
|
0.555
|
-0.513
|
0.904
|
0.753
|
0.890
|
0.725
|
|
400
|
3
|
3
|
0.336
|
0.705
|
0.585
|
0.572
|
-0.520
|
0.904
|
0.757
|
0.890
|
0.729
|
|
600
|
3
|
3
|
0.336
|
0.699
|
0.590
|
0.570
|
-0.515
|
0.904
|
0.753
|
0.890
|
0.727
|
|
200
|
4
|
3
|
0.336
|
0.670
|
0.627
|
0.554
|
-0.505
|
0.903
|
0.754
|
0.889
|
0.728
|
|
200
|
5
|
3
|
0.336
|
0.670
|
0.627
|
0.554
|
-0.505
|
0.903
|
0.754
|
0.889
|
0.728
|
|
400
|
3
|
5
|
0.336
|
0.706
|
0.583
|
0.574
|
-0.518
|
0.905
|
0.758
|
0.890
|
0.729
|
|
500
|
4
|
7
|
0.335
|
0.670
|
0.631
|
0.553
|
-0.514
|
0.904
|
0.754
|
0.890
|
0.725
|
|
500
|
5
|
7
|
0.335
|
0.670
|
0.631
|
0.553
|
-0.514
|
0.904
|
0.754
|
0.890
|
0.725
|
|
300
|
4
|
5
|
0.334
|
0.671
|
0.627
|
0.552
|
-0.517
|
0.903
|
0.755
|
0.889
|
0.728
|
|
300
|
5
|
5
|
0.334
|
0.671
|
0.627
|
0.552
|
-0.517
|
0.903
|
0.755
|
0.889
|
0.728
|
|
500
|
3
|
5
|
0.333
|
0.702
|
0.584
|
0.570
|
-0.524
|
0.904
|
0.756
|
0.890
|
0.728
|
|
500
|
3
|
3
|
0.332
|
0.702
|
0.586
|
0.568
|
-0.527
|
0.904
|
0.755
|
0.890
|
0.728
|
|
400
|
4
|
5
|
0.331
|
0.667
|
0.632
|
0.550
|
-0.524
|
0.903
|
0.754
|
0.889
|
0.726
|
|
600
|
4
|
5
|
0.331
|
0.669
|
0.632
|
0.552
|
-0.526
|
0.904
|
0.750
|
0.889
|
0.724
|
|
400
|
5
|
5
|
0.331
|
0.667
|
0.632
|
0.550
|
-0.524
|
0.903
|
0.754
|
0.889
|
0.726
|
|
600
|
5
|
5
|
0.331
|
0.669
|
0.632
|
0.552
|
-0.526
|
0.904
|
0.750
|
0.889
|
0.724
|
|
300
|
4
|
3
|
0.330
|
0.671
|
0.627
|
0.550
|
-0.529
|
0.903
|
0.753
|
0.889
|
0.727
|
|
300
|
5
|
3
|
0.330
|
0.671
|
0.627
|
0.550
|
-0.529
|
0.903
|
0.753
|
0.889
|
0.727
|
|
700
|
4
|
5
|
0.330
|
0.670
|
0.634
|
0.550
|
-0.532
|
0.904
|
0.749
|
0.889
|
0.725
|
|
700
|
5
|
5
|
0.330
|
0.670
|
0.634
|
0.550
|
-0.532
|
0.904
|
0.749
|
0.889
|
0.725
|
|
400
|
4
|
3
|
0.328
|
0.667
|
0.632
|
0.549
|
-0.537
|
0.903
|
0.753
|
0.889
|
0.725
|
|
600
|
4
|
3
|
0.328
|
0.668
|
0.631
|
0.551
|
-0.539
|
0.903
|
0.748
|
0.889
|
0.724
|
|
700
|
4
|
3
|
0.328
|
0.669
|
0.634
|
0.549
|
-0.541
|
0.903
|
0.748
|
0.889
|
0.725
|
|
400
|
5
|
3
|
0.328
|
0.667
|
0.632
|
0.549
|
-0.537
|
0.903
|
0.753
|
0.889
|
0.725
|
|
600
|
5
|
3
|
0.328
|
0.668
|
0.631
|
0.551
|
-0.539
|
0.903
|
0.748
|
0.889
|
0.724
|
|
700
|
5
|
3
|
0.328
|
0.669
|
0.634
|
0.549
|
-0.541
|
0.903
|
0.748
|
0.889
|
0.725
|
|
500
|
4
|
5
|
0.327
|
0.669
|
0.631
|
0.549
|
-0.543
|
0.903
|
0.751
|
0.889
|
0.725
|
|
500
|
5
|
5
|
0.327
|
0.669
|
0.631
|
0.549
|
-0.543
|
0.903
|
0.751
|
0.889
|
0.725
|
|
500
|
4
|
3
|
0.323
|
0.668
|
0.631
|
0.549
|
-0.555
|
0.903
|
0.750
|
0.889
|
0.725
|
|
500
|
5
|
3
|
0.323
|
0.668
|
0.631
|
0.549
|
-0.555
|
0.903
|
0.750
|
0.889
|
0.725
|
Best Model per Target
|
Target
|
Trees
|
mtry
|
Min. Nodes
|
OOB-R²
|
Val-R²
|
|
σ_m
|
200
|
2
|
13
|
0.875
|
0.747
|
|
ε_m
|
700
|
4
|
9
|
0.757
|
0.635
|
|
σ_b
|
200
|
2
|
13
|
0.858
|
0.670
|
|
ε_b
|
700
|
2
|
17
|
0.696
|
-0.153
|
Predictions
Compare Predictions
pred_lists built for 4 validation groups
MAPE per Group [%]
|
Group
|
σ_m
|
ε_m
|
σ_b
|
ε_b
|
|
F21
|
3.9
|
3.4
|
5.8
|
34.2
|
|
F37
|
6.0
|
2.8
|
14.0
|
107.8
|
|
F4
|
3.1
|
2.4
|
5.0
|
14.2
|
|
F48
|
8.0
|
22.0
|
8.6
|
52.9
|
R² for all Groups
|
Group
|
σ_m
|
ε_m
|
σ_b
|
ε_b
|
|
R² (gesamt)
|
0.747
|
0.635
|
0.67
|
-0.153
|