PK r\_rels/PK r\ docProps/PK r\ppt/PK r\ ppt/_rels/PK r\ ppt/charts/PK r\ppt/charts/_rels/PK r\ppt/embeddings/PK r\ ppt/media/PK r\ppt/slideLayouts/PK r\ppt/slideLayouts/_rels/PK r\ppt/slideMasters/PK r\ppt/slideMasters/_rels/PK r\ ppt/slides/PK r\ppt/slides/_rels/PK r\ ppt/theme/PK r\ppt/notesMasters/PK r\ppt/notesMasters/_rels/PK r\ppt/notesSlides/PK r\ppt/notesSlides/_rels/PK r\4 7$$[Content_Types].xml PK r\]] _rels/.rels PK r\!docProps/app.xml 0 0 Microsoft Office PowerPoint On-screen Show (16:9) 0 8 8 0 0 false Fonts Used 2 Theme 1 Slide Titles 8 Arial Calibri Office Theme Slide 1Slide 2Slide 3Slide 4Slide 5Slide 6Slide 7Slide 8 PptxGenJS false false false 16.0000 PK r\I&6**docProps/core.xml Sports Anomaly Detection - Technical Deep Dive PptxGenJS Presentation DATA 110 - UNC Chapel Hill DATA 110 - UNC Chapel Hill 1 2026-03-18T20:56:28Z 2026-03-18T20:56:28Z PK r\g ppt/_rels/presentation.xml.rels PK r\Oݨ ppt/theme/theme1.xmlPK r\ڧ ppt/presentation.xml PK r\Xppt/presProps.xml PK r\ppt/tableStyles.xml PK r\D >00ppt/viewProps.xml PK r\H7t!ppt/slideLayouts/slideLayout1.xml PK r\ђ77,ppt/slideLayouts/_rels/slideLayout1.xml.rels PK r\d ppt/slides/slide1.xml Athlete Anomaly DetectionTechnical Deep DiveModels, Feature Engineering, and Performance EvaluationFor: Sports Science / Data Team | DATA 110 ProjectSchool of Data Science and Society • UNC Chapel HillPK r\>DXX ppt/slides/_rels/slide1.xml.rels PK r\.ppt/notesSlides/notesSlide1.xml 1PK r\:A*ppt/notesSlides/_rels/notesSlide1.xml.rels PK r\Fhppt/slides/slide2.xml Dataset OverviewFeature Set (8 Performance Metrics) Feature Unit Normal Range Training Load AU (0-100+) 30 – 95 Sprint Speed km/h 22 – 34 Resting Heart Rate bpm 45 – 72 Recovery Heart Rate bpm 88 – 130 Sleep Hours hours 6 – 9 Hydration Level % 48 – 62 Perceived Exertion RPE 1-10 3 – 8 Performance Score 0-100 60 – 90 Class Distribution n = 600 (20 athletes × 30 days) | Longitudinal panel data | 10% anomaly rate | 70/30 stratified splitPK r\9\XX ppt/slides/_rels/slide2.xml.rels PK r\ppt/notesSlides/notesSlide2.xml 2PK r\xշ*ppt/notesSlides/_rels/notesSlide2.xml.rels PK r\p`p`ppt/slides/slide3.xml Methodology: Three Approaches Random ForestSupervisedn_estimators=100max_depth=10class_weight='balanced'How it works:Ensemble of decision trees. Binary (Normal vs Anomaly) AND multi-class (specific type) models trained.+ Highest accuracy; identifies anomaly type− Requires labeled historical data Isolation ForestUnsupervisedn_estimators=100contamination=0.10How it works:Isolates anomalies via random partitioning. Shorter path length = more anomalous.+ No labels needed; fast− Can't classify anomaly type LOFUnsupervisedn_neighbors=20contamination=0.10How it works:Compares local density of each point to neighbors. Low relative density = outlier.+ Detects local context outliers− Slower on large data; parameter-sensitivePK r\W/ ppt/slides/_rels/slide3.xml.rels PK r\K |Őppt/notesSlides/notesSlide3.xml 3PK r\9 Y*ppt/notesSlides/_rels/notesSlide3.xml.rels PK r\|+.e|e|ppt/slides/slide4.xml Model Evaluation Metrics Detection by Anomaly Type RF IF LOF Overtraining 95% 80% 70% Injury Risk 90% 75% 65% Peak Perf. 85% 70% 60% RF excels at overtraining detection (highest feature separation). Peak performance is hardest to detect — positive outliers blend with normal high performers.Note: Multi-class RF also trained — can predict WHICH anomaly type, enabling specific coaching interventionsPK r\LXX ppt/slides/_rels/slide4.xml.rels PK r\vsppt/notesSlides/notesSlide4.xml 4PK r\J *ppt/notesSlides/_rels/notesSlide4.xml.rels PK r\!ppt/slides/slide5.xml Feature Importance Analysis InterpretationTop 3 predictors account for 57% of model importance.Performance Score is the strongest signal — drops sharply in overtraining/injury, spikes in peak performance.Recovery HR and Sleep Hours are key wellness indicators — elevated recovery HR + poor sleep strongly predict overtraining.Resting HR ranks lowest individually but contributes to interaction effects with training load.PK r\+hXX ppt/slides/_rels/slide5.xml.rels PK r\W8ppt/notesSlides/notesSlide5.xml 5PK r\Qe*ppt/notesSlides/_rels/notesSlide5.xml.rels PK r\i+&+&ppt/slides/slide6.xml Anomaly Type Profiles (Radar Analysis) Profile SignaturesOvertrainingExtreme load + high RPE + poor sleep + collapsing performanceInjury RiskSpeed drops dramatically + dehydration + poor recovery + high loadPeak PerformanceGreat sleep + moderate load + exceptional speed & scorePK r\>\XX ppt/slides/_rels/slide6.xml.rels PK r\zppt/notesSlides/notesSlide6.xml 6PK r\=|*ppt/notesSlides/_rels/notesSlide6.xml.rels PK r\5x //ppt/slides/slide7.xml Technical Lessons & Next Steps Lessons LearnedPanel data (repeated athlete measures) requires care — train/test split by date, not randomLOF's n_neighbors should scale with dataset size (n=20 works for 600 records)Positive anomalies (peak performance) are harder to detect than negative onesFeature interactions matter — high load alone isn't bad; high load + poor sleep = dangerMulti-class models add direct coaching value over binary detection Potential ImprovementsAdd temporal features: 3-day rolling averages, week-over-week trends, rate of changePer-athlete baseline models — detect anomalies relative to individual normsTry LSTM/sequence models to leverage the time-series nature of the dataImplement SHAP values for per-prediction explainabilityBuild a real-time Streamlit dashboard for daily coach consumptionExternal validation on a different sport or team datasetPK r\F ppt/slides/_rels/slide7.xml.rels PK r\)lppt/notesSlides/notesSlide7.xml 7PK r\|g*ppt/notesSlides/_rels/notesSlide7.xml.rels PK r\oppt/slides/slide8.xml Questions?Let's Explore the Notebook.Jupyter Notebook + Excel Dataset Available for Hands-On ExplorationDATA 110 • School of Data Science and Society • UNC Chapel HillPK r\WsXX ppt/slides/_rels/slide8.xml.rels PK r\iސppt/notesSlides/notesSlide8.xml 8PK r\pO*ppt/notesSlides/_rels/notesSlide8.xml.rels PK r\K !ppt/slideMasters/slideMaster1.xml PK r\N),ppt/slideMasters/_rels/slideMaster1.xml.rels PK r\6TT!ppt/notesMasters/notesMaster1.xml 7/23/19Click to edit Master text stylesSecond levelThird levelFourth levelFifth level‹#›PK r\s **,ppt/notesMasters/_rels/notesMaster1.xml.rels PK r\^^appt/media/image-1-1.pngPNG  IHDR\rf pHYs  MIDATxi\E/[ cA0.%(0JQ R([D)P1\@-@J-! 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