Summary of 4_Default_RandomForest

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Random Forest

n_jobs: -1
criterion: gini
max_features: 0.9
min_samples_split: 30
max_depth: 4
num_class: 4
explain_level: 0

Validation

validation_type: split
train_ratio: 0.75
shuffle: True
stratify: True

Optimized metric

logloss

Training time

15.3 seconds

Metric details

	1	2	3	4	accuracy	macro avg	weighted avg	logloss
precision	0.629889	0	0.474409	0.594809	0.604099	0.424777	0.574907	0.899588
recall	0.82302	0	0.246358	0.556046	0.604099	0.406356	0.604099	0.899588
f1-score	0.713618	0	0.324306	0.574775	0.604099	0.403175	0.57823	0.899588
support	10391	655	3913	9974	0.604099	24933	24933	0.899588

Confusion matrix

	Predicted as 1	Predicted as 2	Predicted as 3	Predicted as 4
Labeled as 1	8552	0	250	1589
Labeled as 2	181	0	229	245
Labeled as 3	1005	0	964	1944
Labeled as 4	3839	0	589	5546

Learning curves

Learning curves

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