Summary of 5_Default_NeuralNetwork

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Neural Network

dense_1_size: 32
dense_2_size: 16
learning_rate: 0.05
num_class: 4
explain_level: 2

Validation

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

Optimized metric

logloss

Training time

3.3 seconds

Metric details

	0	1	2	3	accuracy	macro avg	weighted avg	logloss
precision	0	0	0.618693	0.62597	0.621992	0.311166	0.587478	0.802565
recall	0	0	0.681208	0.633733	0.621992	0.328735	0.621992	0.802565
f1-score	0	0	0.648447	0.629827	0.621992	0.319569	0.603978	0.802565
support	282	19	2682	2419	0.621992	5402	5402	0.802565

Confusion matrix

	Predicted as 0	Predicted as 1	Predicted as 2	Predicted as 3
Labeled as 0	0	0	225	57
Labeled as 1	0	0	15	4
Labeled as 2	0	0	1827	855
Labeled as 3	0	0	886	1533

Learning curves

Learning curves

Permutation-based Importance

Permutation-based Importance

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