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Benchmarks
Multi-Class Classification on Cover Type (CovType) (test)
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96.94
Accuracy
DNN
71.564
78.152
84.74
91.328
May 27, 2022
Accuracy
Updated 4d ago
Evaluation Results
Method
Method
Links
Accuracy
DNN
Model Architecture=Neural
2022.05
96.94
MLP
2022.05
96.94
NB2M
interaction_order=pair...
2022.05
89.08
NA2M
interaction_order=pair...
2022.05
88.72
XGBoost
Model Architecture=Trees
2022.05
88.6
XGBoost
2022.05
88.6
SPAM (Neural, Order 3)
Interaction Order=3, M...
2022.05
88.57
SPAM (Linear, Order 3)
Interaction Order=3, M...
2022.05
80.66
SPAM (Neural, Order 2)
Interaction Order=2, M...
2022.05
77.7
SPAM (Linear, Order 2)
Interaction Order=2, M...
2022.05
77.32
Linear (Order 2)
Interaction Order=2, M...
2022.05
76.01
EBMs (Order 1)
Interaction Order=1, M...
2022.05
73.92
EBM
interaction_order=firs...
2022.05
73.92
NBM
interaction_order=firs...
2022.05
73.69
NAM
Interaction Order=1, M...
2022.05
73.59
NAM
interaction_order=firs...
2022.05
73.59
Linear (Order 1)
Interaction Order=1, M...
2022.05
72.54
Linear
2022.05
72.54
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