Preprocessing Result #34 — Analysis Report
Contents
- 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)