Interpretable Machine Learning on ValNov Subtask A

Metric: VAL-F1 (higher is better)

LeaderboardDataset

Results

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#	Model↕	VAL-F1▼	Augmentations	Paper	Date↕	Code
1	CLTeamL-3	74.64	No	-	-	Code
2	CSS	70.76	No	-	-	Code
3	AXiS@EdUni-1	69.8	No	-	-	-
4	System Average	62.74	No	-	-	Code
5	NLP@UIT	61.72	No	-	-	Code
6	Baseline	59.96	No	-	-	Code
7	ACCEPT-1	59.2	No	-	-	Code
8	Harshad	56.31	No	-	-	Code

#1CLTeamL-3
74.64
VAL-F1
No paperCode
#2CSS
70.76
VAL-F1
No paperCode
#3AXiS@EdUni-1
69.8
VAL-F1
No paper
#4System Average
62.74
VAL-F1
No paperCode
#5NLP@UIT
61.72
VAL-F1
No paperCode
#6Baseline
59.96
VAL-F1
No paperCode
#7ACCEPT-1
59.2
VAL-F1
No paperCode
#8Harshad
56.31
VAL-F1
No paperCode