test rf regressionCompleted

Algorithm: Random Forest Regressor | Created: January 05, 2026 at 02:26

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Performance Metrics
Mae

7.8367

± 0.8095
Pearson

0.7282

± 0.061
Spearman

0.6822

± 0.1087
Detailed Metrics (Across All Folds)
MetricMeanStd DevMinMax
Mae7.83670.80957.05358.9756
Pearson0.72820.06100.65120.8358
Spearman0.68220.10870.57740.8571
Feature Selection Frequency
No chart available
Top Features (Avg. Importance)
RankFeatureMeanStd Dev
No feature importance data
Regression Analysis

Compare training and test set predictions to evaluate model overfitting. Similar performance indicates good generalization.

No scatter plots available
Configuration
Hyperparameters
Tuning config{"method"=>"random"}
Data Configuration
Feature Selectionnone
Validationkfold
Target Columnage_calculated
Generated Reports
No reports generated.
Pipeline Data & Stages

Pipeline execution flow and intermediate datasets.

CLI Command (Copy-Paste Ready)
OMP_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 MKL_NUM_THREADS=1 VECLIB_MAXIMUM_THREADS=1 NUMEXPR_NUM_THREADS=1 /opt/ml-env/bin/python /app/scripts/ml_pipeline.py --config /app/public/ml_results/73/job_config.json
Standard Output (stdout)
{"job_id": 73, "algorithm": "random_forest_regressor", "n_folds": 5, "holdout_used": false, "per_fold_results": [{"fold": 1, "metrics": {"r2": 0.4426381558316247, "mse": 95.93952352941176, "mae": 7.053529411764707, "rmse": 9.794872307968683, "pearson": 0.736258691681693, "spearman": 0.5773960131031812}, "selected_features": ["alanine (\u00b5M)", "glucose (\u00b5M)"], "feature_importance": {"alanine (\u00b5M)": 0.21475240138623025, "glucose (\u00b5M)": 0.7852475986137697}, "y_true": [59, 63, 73, 77, 67, 66, 66, 83, 39, 40, 44, 56, 65, 39, 59, 47, 68], "y_pred": [72.82, 71.59, 67.53, 68.94, 71.93, 66.78, 72.77, 71.9, 44.84, 37.58, 48.27, 60.43, 60.43, 34.31, 60.13, 44.79, 37.17], "y_proba": null}, {"fold": 2, "metrics": {"r2": 0.25219030131826736, "mse": 148.90760625000001, "mae": 8.975625, "rmse": 12.202770433389297, "pearson": 0.6964988624287204, "spearman": 0.5851156524148391}, "selected_features": ["alanine (\u00b5M)", "glucose (\u00b5M)"], "feature_importance": {"alanine (\u00b5M)": 0.2191843129597866, "glucose (\u00b5M)": 0.7808156870402134}, "y_true": [64, 62, 66, 72, 30, 44, 33, 25, 56, 54, 47, 30, 33, 38, 43, 47], "y_pred": [61.84, 69.71, 71.79, 66.61, 49.74, 42.66, 45.83, 43.11, 50.72, 55.99, 44.97, 59.83, 52.7, 44.0, 47.53, 45.82], "y_proba": null}, {"fold": 3, "metrics": {"r2": 0.6864120870141683, "mse": 79.45411250000001, "mae": 7.355, "rmse": 8.913703635414407, "pearson": 0.8357807999859697, "spearman": 0.857143786717723}, "selected_features": ["alanine (\u00b5M)", "glucose (\u00b5M)"], "feature_importance": {"alanine (\u00b5M)": 0.18898102294185498, "glucose (\u00b5M)": 0.8110189770581451}, "y_true": [68, 70, 81, 61, 74, 74, 54, 27, 41, 58, 59, 47, 40, 25, 50, 58], "y_pred": [66.57, 66.21, 70.51, 66.95, 67.53, 70.47, 62.19, 34.88, 37.66, 39.36, 43.1, 48.04, 48.03, 39.29, 43.8, 55.49], "y_proba": null}, {"fold": 4, "metrics": {"r2": 0.49430612999116263, "mse": 98.34955624999998, "mae": 7.149374999999999, "rmse": 9.917134477761204, "pearson": 0.7210677857849087, "spearman": 0.6337524698699769}, "selected_features": ["alanine (\u00b5M)", "glucose (\u00b5M)"], "feature_importance": {"alanine (\u00b5M)": 0.20341970288401456, "glucose (\u00b5M)": 0.7965802971159855}, "y_true": [61, 79, 81, 70, 72, 44, 39, 43, 50, 50, 44, 42, 40, 65, 65, 49], "y_pred": [66.26, 65.03, 67.66, 68.63, 65.68, 44.43, 42.03, 46.23, 41.64, 62.44, 48.98, 40.99, 51.41, 63.69, 38.02, 48.05], "y_proba": null}, {"fold": 5, "metrics": {"r2": 0.3471338025937579, "mse": 112.67807499999998, "mae": 8.649999999999999, "rmse": 10.614992934524262, "pearson": 0.6511643383072332, "spearman": 0.7575536323715006}, "selected_features": ["alanine (\u00b5M)", "glucose (\u00b5M)"], "feature_importance": {"alanine (\u00b5M)": 0.18844472117259892, "glucose (\u00b5M)": 0.8115552788274011}, "y_true": [62, 80, 64, 76, 79, 60, 63, 37, 59, 47, 33, 45, 55, 63, 60, 66], "y_pred": [74.84, 74.84, 66.2, 65.09, 66.64, 58.52, 62.33, 42.61, 55.94, 55.3, 54.66, 37.34, 43.64, 53.43, 38.64, 61.8], "y_proba": null}], "aggregated_metrics": {"r2": {"mean": 0.4445360953497962, "std": 0.14660747933307713, "min": 0.25219030131826736, "max": 0.6864120870141683}, "mse": {"mean": 107.06577470588236, "std": 23.42821632451776, "min": 79.45411250000001, "max": 148.90760625000001}, "mae": {"mean": 7.836705882352942, "std": 0.8094953689001322, "min": 7.053529411764707, "max": 8.975625}, "rmse": {"mean": 10.28869475781157, "std": 1.099333837586682, "min": 8.913703635414407, "max": 12.202770433389297}, "pearson": {"mean": 0.7281540956377051, "std": 0.06103914199356831, "min": 0.6511643383072332, "max": 0.8357807999859697}, "spearman": {"mean": 0.6821923108954442, "std": 0.10866453655016264, "min": 0.5773960131031812, "max": 0.857143786717723}}, "aggregated_feature_importance": {"alanine (\u00b5M)": {"mean": 0.20295643226889704, "std": 0.01271696067146905}, "glucose (\u00b5M)": {"mean": 0.797043567731103, "std": 0.012716960671469064}}, "feature_selection_stats": [{"feature": "alanine (\u00b5M)", "count": 5, "frequency": 1.0}, {"feature": "glucose (\u00b5M)", "count": 5, "frequency": 1.0}]}
Standard Error (stderr)
Starting pipeline execution for Job: 73
Loaded data: (81, 2) features, (81,) targets.
Running nested cross-validation...
Generating visualizations...
Generating reports...
Warning: weasyprint not installed. PDF report skipped.
Warning: python-docx not installed. DOCX report skipped.
Warning: excel writer dependency missing. Excel report skipped.
Analysis complete. Results saved to /app/public/ml_results/73