Comments (2)
FLOFO multiclass classification result is correct.
from lofo import FLOFOImportance
import pandas as pd
from sklearn.ensemble import RandomForestClassifier
from sklearn.datasets import load_breast_cancer, load_iris
from sklearn.model_selection import KFold
from lofo import LOFOImportance, Dataset, plot_importance
# step-01: prepare data
data = load_iris(as_frame=True)# load as dataframe
x_data = data.data.to_numpy()
y_data = data.target.values
df = data.data
df['target']=data.target.values
# repeat more data since FLOFO need > 1000 data
df=pd.DataFrame(pd.np.repeat(df.values,10,axis=0),columns=df.columns)
# step-02: train model
model = RandomForestClassifier()
model.fit(x_data,y_data)
# step-03: fast-lofo
lofo_imp = FLOFOImportance(validation_df=df, target="target", features=[col for col in df.columns if col != 'target'],scoring="f1_macro",trained_model=model)
importance_df = lofo_imp.get_importance()
print(importance_df)
from lofo-importance.
Modify scoring="f1"
to scoring="f1_macro"
fixed the issue. Since multiclass f1 value should calculated by f1_macro or f1_micro.
from lofo-importance.
Related Issues (20)
- How to use GroupKFold? HOT 10
- Add logging or restart mechanism HOT 2
- Sample_weight? HOT 2
- Add the choice between Mean/Std and Median/IQR HOT 5
- Having a lot of features + Using LOFO? HOT 3
- usage question HOT 2
- Multiclass models HOT 4
- Groupkfold or Groupshufflesplit Cross Validation HOT 1
- TimeSeriesSplit with Lofo HOT 1
- Feature selection using statistical significance
- How to perform feature selection with hyperparameter tuning?
- Returns NaNs all the time HOT 1
- Any tutorial for dealing with genetic data? HOT 2
- Could you add a reference? HOT 1
- Running the example in the readme throws errors
- Compatibility with neural network: replacing with constant value instead of dropping the feature HOT 2
- requirements.txt not packaged in source distribution
- Pandas 2.0.x compatibility HOT 5
- Variable Grouping Only Works When Model Parameter is Kept To Default HOT 5
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from lofo-importance.