Dataset: The dataset name is "ilpd". It contains 2 classes, 583 instances, 11 features, 9 numeric
features, 2 categorical features. The majority class size is 416 and the minority class size is 167.
Conﬁguration 1: cost is medium. gamma is medium. kernel is radial.
Conﬁguration 2: cost is very small. gamma is very large. kernel is radial.
Conﬁguration 3: cost is medium. gamma is very large. kernel is radial.

Dataset: The dataset name is "steel-plates-fault". It contains 2 classes, 1941 instances, 34 features,
33 numeric features, 1 categorical features. The majority class size is 1268 and the minority class
size is 673.
Conﬁguration 1: cost is small. kernel is linear.
Conﬁguration 2: cost is very small. kernel is linear.
Conﬁguration 3: cost is very small. kernel is linear.

Instruction
MLCopilot- Unleashing the Power of Large Language Models in Solving Machine Learning Tasks