automl_pycaret / model_info.csv
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dee4d19
Description,Value
Session id,12
Target,Survived
Target type,Binary
Original data shape,"(891, 12)"
Transformed data shape,"(891, 14)"
Transformed train set shape,"(623, 14)"
Transformed test set shape,"(268, 14)"
Ordinal features,1
Numeric features,6
Categorical features,5
Rows with missing values,79.5%
Preprocess,True
Imputation type,simple
Numeric imputation,mean
Categorical imputation,mode
Maximum one-hot encoding,25
Encoding method,
Fold Generator,StratifiedKFold
Fold Number,10
CPU Jobs,-1
Use GPU,False
Log Experiment,False
Experiment Name,clf-default-name
USI,53c2