Preprocessing run #35 · preprocessing

Table view Dataset report
393
n rows in
393
n rows out
33
n features out
PC_SHOOTMASS
target col
completed
status
2026-09-21 02:12
created
Figures
Before vs after Download PNG
Before vs after
Missing values Download PNG
Missing values
Outlier Report 7 rows
namevalue
methodiqr
handlingflag
n_outliers_detected17
n_original393
min_cols_required4
n_removed0
timingbefore_split
Export: CSV Excel PDF

Method & Provenance

Method
Preprocessing
Method key
preprocessing (result type: preprocessing, result #35)
Engine
Python · pandas/scikit-learn v3.0.3
Dataset(s)
#694 gallery — catg_example_01_forage_biomass.csv
Status
completed
Permanent link
https://cat-g-omxpert.wishartlab.com/results/by-token/3496fe33b6fd47cc9409f0c0d5edb0d3 Bookmark or share this URL — it does not depend on your session.
Created
2026-09-21 02:12:55.894015

Parameters used

ParameterValue
normalization {'method': 'min-max'}
outlier_handling {'method': 'iqr', 'handling': 'flag', 'min_col_fraction': 0.1}
steps missing_value_imputation → normalization → outlier_handling

Execution trace

Reconstructed from the parameters stored with this result — represents the Python/R calls the analysis service made. 

# app.services.preprocessing_service.PreprocessingService
# step: missing_value_imputation
# step: normalization
# step: outlier_handling
df_out = service.apply(df, steps=steps, params=params)