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: 6
explain_level: 2

Validation

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

Optimized metric

logloss

Training time

0.4 seconds

Metric details

	C1	C2	C3	C4	C5	nan	accuracy	macro avg	weighted avg	logloss
precision	0.880952	0.896104	0.428571	0.666667	1	1	0.866197	0.812049	0.867706	0.372544
recall	0.860465	0.896104	0.428571	0.8	1	1	0.866197	0.830857	0.866197	0.372544
f1-score	0.870588	0.896104	0.428571	0.727273	1	1	0.866197	0.820423	0.866702	0.372544
support	43	77	7	5	5	5	0.866197	142	142	0.372544

Confusion matrix

	Predicted as C1	Predicted as C2	Predicted as C3	Predicted as C4	Predicted as C5	Predicted as nan
Labeled as C1	37	5	1	0	0	0
Labeled as C2	5	69	2	1	0	0
Labeled as C3	0	3	3	1	0	0
Labeled as C4	0	0	1	4	0	0
Labeled as C5	0	0	0	0	5	0
Labeled as nan	0	0	0	0	0	5

Learning curves

Learning curves

Permutation-based Importance

Permutation-based Importance

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