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: 5
explain_level: 2

Validation

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

Optimized metric

logloss

Training time

0.3 seconds

Metric details

	0	1	2	3	4	accuracy	macro avg	weighted avg	logloss
precision	0.886364	0.5	0.714286	0.522727	0.5	0.628571	0.624675	0.643692	0.874461
recall	0.829787	0.42	0.517241	0.676471	0.8	0.628571	0.6487	0.628571	0.874461
f1-score	0.857143	0.456522	0.6	0.589744	0.615385	0.628571	0.623759	0.627393	0.874461
support	47	50	29	34	15	0.628571	175	175	0.874461

Confusion matrix

	Predicted as 0	Predicted as 1	Predicted as 2	Predicted as 3	Predicted as 4
Labeled as 0	39	3	0	5	0
Labeled as 1	1	21	2	14	12
Labeled as 2	3	9	15	2	0
Labeled as 3	0	7	4	23	0
Labeled as 4	1	2	0	0	12

Learning curves

Learning curves

Permutation-based Importance

Permutation-based Importance

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