Preprocessing Result #34 — Analysis Report

Generated 2026-10-15 01:33:51 · 1 run · CAT-G Data Analyzer

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Contents

1. preprocessing (#34) completed

1. Preprocessing 2026-09-21 02:11:20 · preprocessing

Preprocessing transformed the dataset from 400 rows to 400 rows with 40 output features.

n_rows_in	400
n_rows_out	400
n_features_out	40
target_col	PC_SHOOTMASS
derived_dataset_id	691

before after boxplot

missingness heatmap

Method & Provenance

Method: Preprocessing
Engine: Python · pandas/scikit-learn 3.0.3
Input dataset: gallery — cat_g_field_data_plots.csv
Started: 2026-09-21 02:11:20.564609
Permanent link: https://cat-g-omxpert.wishartlab.com/results/by-token/eb7eb2770d9b4a1cbd47e9bc2da501e5

Parameter	Value
`normalization`	{'method': 'z-score'}
`steps`	missing_value_imputation → normalization

Command history

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