DATASET_NAME: dataset.train.csv
ENSEMBLE: RF
NB_TREES: 3
NB_FEATURES: 4
NB_CLASSES: 3
MAX_TREE_DEPTH: 3
Format: node / node type (LN - leaf node, IN - internal node) left child / right child / feature / threshold / node_depth / majority class (starts with index 0)

[TREE 1]
NB_NODES: 9
0 IN 1 2 3 0.7 0 -1
1 LN -1 -1 -1 -1 1 0
2 IN 3 6 3 1.7 1 -1
3 IN 4 5 3 1.45 2 -1
4 LN -1 -1 -1 -1 3 1
5 LN -1 -1 -1 -1 3 1
6 IN 7 8 2 5.0 2 -1
7 LN -1 -1 -1 -1 3 2
8 LN -1 -1 -1 -1 3 2

[TREE 2]
NB_NODES: 9
0 IN 1 2 3 0.75 0 -1
1 LN -1 -1 -1 -1 1 0
2 IN 3 6 3 1.7 1 -1
3 IN 4 5 1 2.65 2 -1
4 LN -1 -1 -1 -1 3 1
5 LN -1 -1 -1 -1 3 1
6 IN 7 8 2 4.95 2 -1
7 LN -1 -1 -1 -1 3 2
8 LN -1 -1 -1 -1 3 2

[TREE 3]
NB_NODES: 9
0 IN 1 2 2 2.45 0 -1
1 LN -1 -1 -1 -1 1 0
2 IN 3 6 2 4.85 1 -1
3 IN 4 5 2 4.65 2 -1
4 LN -1 -1 -1 -1 3 1
5 LN -1 -1 -1 -1 3 1
6 IN 7 8 2 5.05 2 -1
7 LN -1 -1 -1 -1 3 2
8 LN -1 -1 -1 -1 3 2
