Row Count Funnel
coverageRaw inputs, training windows, and optional scored rows at a glance.
Visual Analysis
Curated EDA, feature-engineering diagnostics, model interpretation, slice analysis, and monitoring drift views. Click any thumbnail to enlarge; interactive Plotly versions open in a new tab when available.
sections 4
rendered 48
skipped 5
Sections4
Plots48rendered
Skipped5diagnostics
Total53artifacts
Eda
13 plots
Feature-Group Histograms
feature_engineeringSampled numeric feature histograms across feature-engineering groups.
Categorical Count Bars
feature_engineeringTop category counts for categorical engineered features.
Numeric Correlation Heatmap
qualityHigh-variance numeric features correlation structure.
Temporal Distribution
coverageHour-of-day and weekday coverage across training windows.
Models
36 plots
target_sleep_disruption Classification Dashboard
target_sleep_disruptionROC, PR, calibration, and score-by-class view.
target_sleep_disruption Gain Importance
target_sleep_disruptionLightGBM gain importance from trained artifacts.
target_sleep_disruption Split Importance
target_sleep_disruptionLightGBM split-count importance across engineered features.
target_sleep_disruption Permutation Importance
target_sleep_disruptionPermutation importance on held-out rows.
target_sleep_disruption Feature-Group Importance
target_sleep_disruptionAggregated feature gain by registry group.
target_sleep_disruption SHAP Beeswarm
target_sleep_disruptionGlobal SHAP distribution across sampled held-out rows.
target_sleep_disruption SHAP Mean Absolute Bar
target_sleep_disruptionMean absolute SHAP contribution ranked by feature.
target_sleep_disruption SHAP Dependence: residual_caffeine_now_mg
target_sleep_disruptionFeature value vs SHAP contribution.
target_sleep_disruption SHAP Dependence: residual_caffeine_bedtime_mg
target_sleep_disruptionFeature value vs SHAP contribution.
target_sleep_disruption SHAP Dependence: caffeine_last_12h_mg
target_sleep_disruptionFeature value vs SHAP contribution.
target_sleep_disruption SHAP Dependence: day_of_week
target_sleep_disruptionFeature value vs SHAP contribution.
target_sleep_disruption SHAP Dependence: caffeine_last_6h_mg
target_sleep_disruptionFeature value vs SHAP contribution.
target_sleep_disruption SHAP Dependence: rule_risk_bucket
target_sleep_disruptionFeature value vs SHAP contribution.
target_sleep_disruption Local SHAP: high_risk_or_max_error
target_sleep_disruptionTop local contributors for a representative held-out case.
target_sleep_disruption Local SHAP: false_positive_or_overprediction
target_sleep_disruptionTop local contributors for a representative held-out case.
target_sleep_disruption Local SHAP: false_negative_or_underprediction
target_sleep_disruptionTop local contributors for a representative held-out case.
No preview available
target_fatigue_30m Model Analysis
target_fatigue_30mskippedFull model analysis bundle for this target.
single_class
No preview available
target_fatigue_60m Model Analysis
target_fatigue_60mskippedFull model analysis bundle for this target.
single_class
No preview available
target_fatigue_120m Model Analysis
target_fatigue_120mskippedFull model analysis bundle for this target.
single_class
target_sleep_latency_delta_minutes Regression Dashboard
target_sleep_latency_delta_minutesPredicted-vs-actual, residual histogram, and residual scatter.
target_sleep_latency_delta_minutes Gain Importance
target_sleep_latency_delta_minutesLightGBM gain importance from trained artifacts.
target_sleep_latency_delta_minutes Split Importance
target_sleep_latency_delta_minutesLightGBM split-count importance across engineered features.
target_sleep_latency_delta_minutes Permutation Importance
target_sleep_latency_delta_minutesPermutation importance on held-out rows.
target_sleep_latency_delta_minutes Feature-Group Importance
target_sleep_latency_delta_minutesAggregated feature gain by registry group.
target_sleep_latency_delta_minutes SHAP Beeswarm
target_sleep_latency_delta_minutesGlobal SHAP distribution across sampled held-out rows.
target_sleep_latency_delta_minutes SHAP Mean Absolute Bar
target_sleep_latency_delta_minutesMean absolute SHAP contribution ranked by feature.
target_sleep_latency_delta_minutes SHAP Dependence: residual_caffeine_now_mg
target_sleep_latency_delta_minutesFeature value vs SHAP contribution.
target_sleep_latency_delta_minutes SHAP Dependence: caffeine_last_6h_mg
target_sleep_latency_delta_minutesFeature value vs SHAP contribution.
target_sleep_latency_delta_minutes SHAP Dependence: residual_caffeine_bedtime_mg
target_sleep_latency_delta_minutesFeature value vs SHAP contribution.
target_sleep_latency_delta_minutes SHAP Dependence: caffeine_last_12h_mg
target_sleep_latency_delta_minutesFeature value vs SHAP contribution.
target_sleep_latency_delta_minutes SHAP Dependence: day_of_week
target_sleep_latency_delta_minutesFeature value vs SHAP contribution.
target_sleep_latency_delta_minutes SHAP Dependence: rule_risk_bucket
target_sleep_latency_delta_minutesFeature value vs SHAP contribution.
target_sleep_latency_delta_minutes Local SHAP: high_risk_or_max_error
target_sleep_latency_delta_minutesTop local contributors for a representative held-out case.
target_sleep_latency_delta_minutes Local SHAP: false_positive_or_overprediction
target_sleep_latency_delta_minutesTop local contributors for a representative held-out case.
No preview available
target_caffeine_benefit_90m Model Analysis
target_caffeine_benefit_90mskippedFull model analysis bundle for this target.
not_enough_rows
Slices
2 plots
target_sleep_disruption Slice Summary
target_sleep_disruptionPrediction vs target behavior across common product slices.
target_sleep_latency_delta_minutes Slice Summary
target_sleep_latency_delta_minutesPrediction vs target behavior across common product slices.
Monitoring
2 plotsNo preview available
Monitoring PSI
monitoringskippedPrediction and feature PSI from the latest monitoring report.
no_drift_metrics
Score Overlay
monitoringCurrent scored distributions against training hold-out predictions.