{ "cells": [ { "cell_type": "markdown", "id": "7ba05a39", "metadata": {}, "source": [ "# Simulationsstudie: Diebstahlerkennung eines Autos in Echtzeit\n", "\n", "**Name:** Yann Ahlgrim \n", "\n", "In dieser Simulationsstudie wird ein Modell entwickelt, das anhand von Fahrverhaltensdaten erkennt, ob ein anderer Fahrer als üblich am Steuer sitzt. Ziel ist es, eine Wahrscheinlichkeit für einen Fahrerwechsel zu schätzen und bei hoher Wahrscheinlichkeit eine Diebstahlwarnung auszugeben. Die Studie umfasst die Generierung einer synthetischen Grundgesamtheit, die Simulation der Data Scientist Perspektive und die Analyse der Modellgüte." ] }, { "cell_type": "markdown", "id": "f04292ef", "metadata": {}, "source": [ "## Erzeugung der Grundgesamtheit" ] }, { "cell_type": "markdown", "id": "a5fe9381", "metadata": {}, "source": [ "### Datengrundlage\n", "\n", "#### Erklärende Variablen:\n", "\n", "1. **Durchschnittsgeschwindigkeit (metrisch):** \n", " Die Werte verteilen sich natürlicherweise ungefähr normal um ca. 47 km/h (29 mph) mit großer Streuung. Aggressive Fahrer tendieren zu höheren Durchschnittsgeschwindigkeiten. Diese Variable ist erklärend, da ein anderer Fahrer oft abweichende Geschwindigkeitsprofile aufweist. \n", " → Die Verteilung basiert auf: [NHTSA 100-Car Naturalistic Driving Study](https://www.nhtsa.gov/sites/nhtsa.gov/files/100carmain.pdf)\n", "\n", "2. **Schaltverhalten (ordinal):** \n", " Charakteristisches Schaltmuster bei Handschaltgetrieben, insbesondere der Drehzahlbereich beim Hochschalten. Fahrer unterscheiden sich deutlich: \n", " - *frueh* (ökonomisches Fahren), \n", " - *normal*, \n", " - *spaet* (sportliches/aggressives Fahren). \n", " Diese Variable dürfte prädiktiv sein, da Schaltgewohnheiten fahrerspezifisch sind. Studien zeigen, dass sie zur Fahreridentifikation genutzt werden können. \n", " → Quelle: [Driver Identification Based on Gear Shift Events and Attention-Based Bidirectional Long Short-Term Memory for Manual Transmission System)](https://ieeexplore.ieee.org/document/10034086)\n", "\n", "3. **Harte Bremsmanöver (metrisch):** \n", " Anzahl starker Bremsvorgänge mit hoher Verzögerung (>0,3 g). Modellierung z.B. als Poisson-verteilte Zufallsvariable mit geringem Mittelwert (wenige Ereignisse pro 100 km). Harte Bremsmanöver korrelieren mit aggressiver Fahrweise und sind prädiktiv für Fahrerwechsel. \n", " → Quelle: [Tesla Safety Score Definition](https://www.findmyelectric.com/blog/tesla-safety-score-beta-explained)\n", "\n", "4. **Geschwindigkeitsüberschreitungen (ordinal, 3 Kategorien):** \n", " haeufigkeit bzw. Ausmaß, mit dem Tempolimits überschritten werden. Kategorisierung z.B. in: \n", " - *selten*, \n", " - *manchmal*, \n", " - *haeufig* zu schnell. \n", " Diese Variable ist prädiktiv, da ein fremder Fahrer oft ein anderes Risikoverhalten beim Speeding zeigt.\n", " Laut einer AAA-Verkehrssicherheitsstudie geben nahezu 50 % der Fahrer an, auf Autobahnen im letzten Monat ~15 mph (~24 km/h) über dem Tempolimit gefahren zu sein.\n", " → Quelle: [87 Percent of Drivers Engage in Unsafe Behaviors While Behind the Wheel](https://newsroom.aaa.com/2016/02/87-percent-of-drivers-engage-in-unsafe-behaviors-while-behind-the-wheel/)\n", "\n", "---\n", "\n", "#### Nicht erklärende Variablen:\n", "\n", "\n", "5. **Wetterbedingungen (nominal, 3 Kategorien):** \n", " - *trocken* (~70–75 %) \n", " - *nass* (~20–25 %) \n", " - *winterlich* (<5 %) \n", " → Modelliert als Multinomial. Kontextvariable. \n", " Die Einteilung basiert auf Daten des Statistischen Bundesamtes: Etwa 70–75 % aller Fahrten finden unter trockenen Bedingungen statt, 20–25 % bei Nässe und unter 5 % bei Schnee oder Glätte.\n", "\n", "6. **Fahrstrecke (metrisch):** \n", " Länge der Fahrt (z.B. lognormalverteilt um 12 km). Kontextvariable, nicht direkt erklärend. \n", " → Quelle: [Mobilität in Deutschland 2017 – Ergebnisbericht](https://www.bmv.de/SharedDocs/DE/Anlage/G/mid-ergebnisbericht.pdf)\n", "\n", " \n", "7. **Straßentyp (nominal, 3 Kategorien):** \n", " - *Autobahn* (~30–33 %) \n", " - *Außerorts* (~43 %) \n", " - *Innerorts* (~24–27 %) \n", " → Modelliert als Multinomialverteilung. Kontextvariable ohne direkte Prädiktionswirkung. \n", " → Quelle: [Klimaschutzinstrumente im Verkehr](https://openumwelt.de/server/api/core/bitstreams/07bd23f9-ff0a-41e5-b89b-8d7baf0a5c36/content)\n", "\n", "8. **Wochentag (nominal, 2–3 Kategorien):** \n", " Z.B. *Werktag* vs *Wochenende* oder *Mo–Fr*, *Sa*, *So*. Modellierung als kategorische Variable. Kontextvariable. \n", " → Quelle: [Mobilität in Deutschland 2017 – Ergebnisbericht](https://www.bmv.de/SharedDocs/DE/Anlage/G/mid-ergebnisbericht.pdf)\n" ] }, { "cell_type": "markdown", "id": "1468207b", "metadata": {}, "source": [ "### Bibliotheken Imports" ] }, { "cell_type": "code", "execution_count": 41, "id": "97ba29a9", "metadata": {}, "outputs": [], "source": [ "# Import der benötigten Bibliotheken\n", "import numpy as np\n", "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "from scipy.stats import norm, multinomial, poisson, lognorm, bernoulli\n", "import statsmodels.api as sm\n", "from statsmodels.stats.outliers_influence import variance_inflation_factor\n", "\n", "np.random.seed(11)\n", "N = 1_000_000" ] }, { "cell_type": "markdown", "id": "27947656", "metadata": {}, "source": [ "### Verteilungen der Variablen" ] }, { "cell_type": "code", "execution_count": 42, "id": "61247da5", "metadata": {}, "outputs": [], "source": [ "# 1. Durchschnittsgeschwindigkeit (metrisch, normalverteilt)\n", "avg_speed = np.clip(np.random.normal(loc=47, scale=10, size=N), 10, 130)\n", "\n", "# 2. Schaltverhalten (ordinal, 3 Kategorien)\n", "shift_behavior = np.random.choice(['frueh', 'normal', 'spaet'], size=N, p=[0.4, 0.4, 0.2])\n", "\n", "# 3. Harte Bremsmanöver (metrisch, Poisson)\n", "hard_brakes = np.random.poisson(lam=2, size=N)\n", "\n", "# 4. Geschwindigkeitsüberschreitungen (ordinal, 3 Kategorien) – Abhängigkeit von avg_speed\n", "def softmax(x):\n", " e_x = np.exp(x - np.max(x, axis=1, keepdims=True))\n", " return e_x / e_x.sum(axis=1, keepdims=True)\n", "\n", "speed_scaled = (avg_speed - avg_speed.min()) / (avg_speed.max() - avg_speed.min())\n", "strength = 0.18\n", "logits = np.zeros((N, 3))\n", "logits[:, 0] = 1 - strength * speed_scaled # selten\n", "logits[:, 1] = 1 # manchmal\n", "logits[:, 2] = 1 + strength * speed_scaled # haeufig\n", "probs = softmax(logits)\n", "speeding = [np.random.choice(['selten', 'manchmal', 'haeufig'], p=p) for p in probs]\n", "\n", "# 5. Wetterbedingungen (nominal, Kontext)\n", "weather = np.random.choice(['trocken', 'nass', 'winterlich'], size=N, p=[0.75, 0.2, 0.05])\n", "\n", "# 6. Fahrstrecke (metrisch, lognormal)\n", "mu, sigma = np.log(12), 0.7\n", "trip_distance = np.random.lognormal(mean=mu, sigma=sigma, size=N)\n", "\n", "# 7. Straßentyp (nominal, Kontext) – Abhängigkeit von trip_distance mit Softmax-Funktion\n", "# Skaliere trip_distance auf [0, 1]\n", "dist_scaled = (trip_distance - trip_distance.min()) / (trip_distance.max() - trip_distance.min())\n", "road_strength = 0.18\n", "road_logits = np.zeros((N, 3))\n", "road_logits[:, 0] = 1 - road_strength * dist_scaled # Innerorts\n", "road_logits[:, 1] = 1 # Außerorts\n", "road_logits[:, 2] = 1 + road_strength * dist_scaled # Autobahn\n", "road_probs = softmax(road_logits)\n", "road_type = [np.random.choice(['Innerorts', 'Außerorts', 'Autobahn'], p=p) for p in road_probs]\n", "\n", "# 8. Wochentag (nominal, Kontext)\n", "weekday = np.random.choice(['Mo-Fr', 'Sa', 'So'], size=N, p=[0.7, 0.15, 0.15])" ] }, { "cell_type": "markdown", "id": "defebcc1", "metadata": {}, "source": [ "### Zusammenführen der Daten in ein DataFrame" ] }, { "cell_type": "code", "execution_count": 43, "id": "f8e0efb0", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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avg_speedshift_behaviorhard_brakesspeedingweathertrip_distanceroad_typeweekday
064.494547frueh2manchmaltrocken30.449962InnerortsMo-Fr
144.139270frueh3haeufigtrocken11.911103AutobahnMo-Fr
242.154349spaet2seltentrocken6.086055AutobahnMo-Fr
320.466814normal5haeufigtrocken5.732684InnerortsMo-Fr
446.917154spaet2seltentrocken7.256758AußerortsMo-Fr
\n", "
" ], "text/plain": [ " avg_speed shift_behavior hard_brakes speeding weather trip_distance \\\n", "0 64.494547 frueh 2 manchmal trocken 30.449962 \n", "1 44.139270 frueh 3 haeufig trocken 11.911103 \n", "2 42.154349 spaet 2 selten trocken 6.086055 \n", "3 20.466814 normal 5 haeufig trocken 5.732684 \n", "4 46.917154 spaet 2 selten trocken 7.256758 \n", "\n", " road_type weekday \n", "0 Innerorts Mo-Fr \n", "1 Autobahn Mo-Fr \n", "2 Autobahn Mo-Fr \n", "3 Innerorts Mo-Fr \n", "4 Außerorts Mo-Fr " ] }, "execution_count": 43, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df = pd.DataFrame({\n", " 'avg_speed': avg_speed,\n", " 'shift_behavior': shift_behavior,\n", " 'hard_brakes': hard_brakes,\n", " 'speeding': speeding,\n", " 'weather': weather,\n", " 'trip_distance': trip_distance,\n", " 'road_type': road_type,\n", " 'weekday': weekday\n", "})\n", "\n", "df.head()\n" ] }, { "cell_type": "markdown", "id": "f06e7c4d", "metadata": {}, "source": [ "### VIF der Abhängigkeiten prüfen (<5)" ] }, { "cell_type": "code", "execution_count": 44, "id": "6bfb199a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Variance Inflation Factor (VIF) für ausgewählte Variabeln:\n", " features VIF Factor\n", "0 avg_speed 2.570716\n", "1 speeding_manchmal 1.819868\n", "2 speeding_selten 1.750848\n" ] } ], "source": [ "vif = pd.DataFrame()\n", "columns = ['avg_speed', 'speeding']\n", "vif_df = pd.get_dummies(df[columns], drop_first=True)\n", "vif_df = vif_df.astype(float)\n", "vif['features'] = vif_df.columns\n", "vif['VIF Factor'] = [variance_inflation_factor(vif_df.values, i) for i in range(vif_df.shape[1])]\n", "vif = vif.sort_values('VIF Factor', ascending=False).reset_index(drop=True)\n", "print(\"\\nVariance Inflation Factor (VIF) für ausgewählte Variabeln:\")\n", "print(vif)" ] }, { "cell_type": "code", "execution_count": 45, "id": "1d3df64a", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Variance Inflation Factor (VIF) für ausgewählte Variabeln:\n", " features VIF Factor\n", "0 trip_distance 1.677148\n", "1 road_type_Außerorts 1.342378\n", "2 road_type_Innerorts 1.334770\n" ] } ], "source": [ "vif = pd.DataFrame()\n", "columns = ['road_type', 'trip_distance']\n", "vif_df = pd.get_dummies(df[columns], drop_first=True)\n", "vif_df = vif_df.astype(float)\n", "vif['features'] = vif_df.columns\n", "vif['VIF Factor'] = [variance_inflation_factor(vif_df.values, i) for i in range(vif_df.shape[1])]\n", "vif = vif.sort_values('VIF Factor', ascending=False).reset_index(drop=True)\n", "print(\"\\nVariance Inflation Factor (VIF) für ausgewählte Variabeln:\")\n", "print(vif)" ] }, { "cell_type": "code", "execution_count": 46, "id": "49045ee5", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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avg_speedshift_behaviorhard_brakesspeedingweathertrip_distanceroad_typeweekday
064.494547frueh2manchmaltrocken30.449962InnerortsMo-Fr
144.139270frueh3haeufigtrocken11.911103AutobahnMo-Fr
242.154349spaet2seltentrocken6.086055AutobahnMo-Fr
320.466814normal5haeufigtrocken5.732684InnerortsMo-Fr
446.917154spaet2seltentrocken7.256758AußerortsMo-Fr
\n", "
" ], "text/plain": [ " avg_speed shift_behavior hard_brakes speeding weather trip_distance \\\n", "0 64.494547 frueh 2 manchmal trocken 30.449962 \n", "1 44.139270 frueh 3 haeufig trocken 11.911103 \n", "2 42.154349 spaet 2 selten trocken 6.086055 \n", "3 20.466814 normal 5 haeufig trocken 5.732684 \n", "4 46.917154 spaet 2 selten trocken 7.256758 \n", "\n", " road_type weekday \n", "0 Innerorts Mo-Fr \n", "1 Autobahn Mo-Fr \n", "2 Autobahn Mo-Fr \n", "3 Innerorts Mo-Fr \n", "4 Außerorts Mo-Fr " ] }, "execution_count": 46, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.head()" ] }, { "cell_type": "markdown", "id": "d27de9c5", "metadata": {}, "source": [ "### Dummies erzeugen" ] }, { "cell_type": "code", "execution_count": 47, "id": "4ad287b1", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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constavg_speedhard_brakestrip_distanceshift_fruehshift_normalshift_spaetspeeding_haeufigspeeding_manchmalspeeding_seltenweather_nassweather_trockenweather_winterlichroad_Autobahnroad_Außerortsroad_Innerortsweekday_Mo-Frweekday_Saweekday_So
01.064.4945472.030.4499621.00.00.00.01.00.00.01.00.00.00.01.01.00.00.0
11.044.1392703.011.9111031.00.00.01.00.00.00.01.00.01.00.00.01.00.00.0
21.042.1543492.06.0860550.00.01.00.00.01.00.01.00.01.00.00.01.00.00.0
31.020.4668145.05.7326840.01.00.01.00.00.00.01.00.00.00.01.01.00.00.0
41.046.9171542.07.2567580.00.01.00.00.01.00.01.00.00.01.00.01.00.00.0
\n", "
" ], "text/plain": [ " const avg_speed hard_brakes trip_distance shift_frueh shift_normal \\\n", "0 1.0 64.494547 2.0 30.449962 1.0 0.0 \n", "1 1.0 44.139270 3.0 11.911103 1.0 0.0 \n", "2 1.0 42.154349 2.0 6.086055 0.0 0.0 \n", "3 1.0 20.466814 5.0 5.732684 0.0 1.0 \n", "4 1.0 46.917154 2.0 7.256758 0.0 0.0 \n", "\n", " shift_spaet speeding_haeufig speeding_manchmal speeding_selten \\\n", "0 0.0 0.0 1.0 0.0 \n", "1 0.0 1.0 0.0 0.0 \n", "2 1.0 0.0 0.0 1.0 \n", "3 0.0 1.0 0.0 0.0 \n", "4 1.0 0.0 0.0 1.0 \n", "\n", " weather_nass weather_trocken weather_winterlich road_Autobahn \\\n", "0 0.0 1.0 0.0 0.0 \n", "1 0.0 1.0 0.0 1.0 \n", "2 0.0 1.0 0.0 1.0 \n", "3 0.0 1.0 0.0 0.0 \n", "4 0.0 1.0 0.0 0.0 \n", "\n", " road_Außerorts road_Innerorts weekday_Mo-Fr weekday_Sa weekday_So \n", "0 0.0 1.0 1.0 0.0 0.0 \n", "1 0.0 0.0 1.0 0.0 0.0 \n", "2 0.0 0.0 1.0 0.0 0.0 \n", "3 0.0 1.0 1.0 0.0 0.0 \n", "4 1.0 0.0 1.0 0.0 0.0 " ] }, "execution_count": 47, "metadata": {}, "output_type": "execute_result" } ], "source": [ "shift_dummies = pd.get_dummies(shift_behavior, prefix='shift')\n", "speeding_dummies = pd.get_dummies(speeding, prefix='speeding')\n", "weather_dummies = pd.get_dummies(weather, prefix='weather')\n", "road_dummies = pd.get_dummies(road_type, prefix='road')\n", "weekday_dummies = pd.get_dummies(weekday, prefix='weekday')\n", "\n", "X = pd.DataFrame({\n", " 'const': np.ones(N), # fuer konstante\n", " 'avg_speed': avg_speed,\n", " 'hard_brakes': hard_brakes,\n", " 'trip_distance': trip_distance\n", "})\n", "X = pd.concat([X, shift_dummies, speeding_dummies, weather_dummies, road_dummies, weekday_dummies], axis=1)\n", "\n", "X = X.astype(float)\n", "\n", "X.head()" ] }, { "cell_type": "markdown", "id": "1f6ee727", "metadata": {}, "source": [ "### Zielvariable erzeugen" ] }, { "cell_type": "code", "execution_count": 48, "id": "75318d77", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "\n", "betas = np.array([\n", " -2, # konstante\n", " 0.015, # avg_speed (erklärend)\n", " 0.1, # hard_brakes (erklärend)\n", " 0., # trip_distance\n", " -0.3, # shift_frueh (erklärend)\n", " -0.3, # shift_normal (erklärend)\n", " 0.5, # shift_spaet (erklärend)\n", " -0.3, # speeding_selten (erklärend)\n", " -0.3, # speeding_manchmal (erklärend)\n", " 0.5, # speeding_haeufig (erklärend)\n", " 0., # weather_nass\n", " 0., # weather_trocken\n", " 0., # weather_winterlich\n", " 0., # road_Außerorts\n", " 0., # road_Autobahn\n", " 0., # road_Innerorts\n", " 0., # weekday_Mo-Fr\n", " 0., # weekday_Sa\n", " 0. # weekday_So\n", "])\n", "\n", "# Sicherstellen, dass die Dimension passt\n", "X_model = X.iloc[:, :len(betas)]\n", "\n", "X_model = X_model.astype(float)\n", "rauschen = np.random.normal(0, 0.2, size=N)\n", "\n", "# Linearkombination + Rauschen\n", "lin_comb = X_model.values @ betas + rauschen\n", "\n", "# Logistische Funktion\n", "pi = 1 / (1 + np.exp(-lin_comb))\n", "\n", "# Zielvariable simulieren\n", "target = np.random.binomial(1, pi)\n", "\n", "plt.figure(figsize=(10, 6))\n", "sns.countplot(x=target, palette='viridis')\n", "plt.title('Verteilung der Zielvariable (Diebstahl: ja/nein)')\n", "plt.xlabel('Diebstahl')\n", "plt.ylabel('Anzahl')\n", "plt.xticks([0, 1], ['Nein', 'Ja'])\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "825cc812", "metadata": {}, "source": [ "### Verteilungen der Variablen\n", "\n", "- **Durchschnittsgeschwindigkeit (`avg_speed`)**: normalverteilt mit Mittelwert 47 km/h und Standardabweichung 10, begrenzt auf den Bereich [10, 130].\n", "- **Schaltverhalten (`shift_behavior`)**: ordinal skaliert mit 3 Kategorien, gezogen aus einer Multinomialverteilung (Wahrscheinlichkeiten: 40% früh, 40% normal, 20% spät).\n", "- **Harte Bremsmanöver (`hard_brakes`)**: metrisch, modelliert mit einer Poisson-Verteilung (λ = 2).\n", "- **Geschwindigkeitsüberschreitungen (`speeding`)**: ordinal skaliert mit 3 Stufen, abhängig von `avg_speed` über eine Softmax-basierte Wahrscheinlichkeitsverteilung.\n", "- **Wetterbedingungen (`weather`)**: nominal skaliert, zufällig verteilt mit 75% trocken, 20% nass und 5% winterlich.\n", "- **Fahrstrecke (`trip_distance`)**: lognormal verteilt mit μ = ln(12) und σ = 0.7.\n", "- **Straßentyp (`road_type`)**: abhängig von `trip_distance`, mit kategorialer Softmax-Verteilung (Innerorts, Außerorts, Autobahn).\n", "- **Wochentag (`weekday`)**: nominal mit festgelegter Verteilung (70% Werktage, je 15% Samstag und Sonntag).\n", "\n", "### Modellierte Abhängigkeiten\n", "\n", "Die Variablen `speeding` und `road_type` wurden nicht rein zufällig erzeugt, sondern basieren auf skalierter Eingangsvariablen - `avg_speed` bzw. `trip_distance` - und einem gewichteten Softmax-Verfahren für realistischere Zusammenhänge.\n", "\n", "### Zielvariable und 𝑝ᵢ-Werte\n", "\n", "Die Zielvariable, die eine Diebstahlwahrscheinlichkeit beschreibt, wurde aus diesen Features modelliert. Die 𝑝ᵢ-Werte repräsentieren dabei individuelle Wahrscheinlichkeiten für Fahrerwechsel und wurden anhand von Beta-Verteilungen erzeugt.\n", "\n", "### Wahl und Begründung der Beta-Werte\n", "\n", "Die Beta-Gewichte wurden bewusst so gewählt, dass sie realistische Zusammenhänge zwischen den Merkmalen und dem Auftreten eines möglichen Diebstahls modellieren, ohne die Zielvariable künstlich zu verzerren. Das Ziel war ein realistischer, aber nicht übermäßig häufiger positiver Klassenanteil.\n", "\n", "- **Konstante (-2):** Sorgt für eine niedrige Grundwahrscheinlichkeit für Diebstahl, wenn keine auffälligen Merkmale vorliegen. Dadurch bleibt die Zielvariable realistisch balanciert.\n", "- **avg_speed (0.015):** Ein leicht positiver Zusammenhang, da eine ungewöhnlich hohe Durchschnittsgeschwindigkeit auf einen anderen Fahrstil und damit auf einen möglichen Fahrerwechsel hindeuten kann.\n", "- **hard_brakes (0.1):** Ein deutlicher positiver Effekt, da häufige harte Bremsmanöver ein Indiz für einen ungewohnten oder riskanten Fahrstil sind, der auf einen Fahrerwechsel hindeuten kann.\n", "- **trip_distance (0):** Kein Einfluss, da die reine Fahrstrecke keine Aussage über den Fahrerwechsel zulässt.\n", "- **shift_frueh (-0.3), shift_normal (-0.3), shift_spaet (0.5):** Das Schaltverhalten ist ein starker Prädiktor für den Fahrer. Besonders „spät“ schalten wird mit einem hohen positiven Beta gewichtet, da es einen aggressiveren Fahrstil beschreibt. „Früh“ und „normal“ schalten erhalten einen negativen Einfluss, da sie auf einen defensiveren oder gewohnten Fahrstil hindeuten.\n", "- **speeding_selten (-0.3), speeding_manchmal (-0.3), speeding_haeufig (0.5):** Die Häufigkeit von Geschwindigkeitsüberschreitungen ist ein wichtiger Indikator für den Fahrstil. Besonders „häufig“ zu schnell fahren (0.5) ist ein starkes Signal für einen Fahrerwechsel, da dies ein sehr auffälliges Verhalten ist. „Selten“ und „manchmal“ werden negativ gewichtet, da sie auf einen defensiveren Fahrstil hindeuten.\n", "- **weather_nass, weather_trocken, weather_winterlich (je 0):** Wetterbedingungen haben keinen Einfluss auf die Wahrscheinlichkeit eines Fahrerwechsels, da sie unabhängig vom Fahrer sind.\n", "- **road_Außerorts, road_Autobahn, road_Innerorts (je 0):** Der Straßentyp ist nicht prädiktiv für einen Fahrerwechsel, da er nicht vom Fahrverhalten abhängt.\n", "- **weekday_Mo-Fr, weekday_Sa, weekday_So (je 0):** Der Wochentag hat keinen Einfluss auf die Wahrscheinlichkeit eines Fahrerwechsels.\n", "\n", "\n", "Alle Beta-Werte wurden bewusst reduziert (unterhalb von 0.1), um eine Übergewichtung einzelner Faktoren zu vermeiden und die Zielvariable `Diebstahl` in einem nahe zu realistischen Bereich zu halten. Eine stärkere Gewichtung hätte zu einer zu häufigen Klassifikation als Diebstahl geführt.\n", "\n", "```visualisierung\n", "Die grafische Darstellung zeigt, dass rund 25 % der Fahrten als potenzielle Diebstähle klassifiziert wurden - ein geeignetes Trainingsverhältnis für ein Klassifikationsmodell.\n", "```\n", "\n" ] }, { "cell_type": "markdown", "id": "adbc166b", "metadata": {}, "source": [ "## Simulation der Perspektive des Data Scientist" ] }, { "cell_type": "markdown", "id": "f8abd5f5", "metadata": {}, "source": [ "### Stichprobe entnehmen" ] }, { "cell_type": "code", "execution_count": 49, "id": "706ff5c6", "metadata": {}, "outputs": [], "source": [ "sample_size = 20_000\n", "sample_indices = np.random.choice(X.index, size=sample_size, replace=False)\n", "X_sample = X.loc[sample_indices]\n", "target_sample = target[sample_indices]" ] }, { "cell_type": "markdown", "id": "9b67610e", "metadata": {}, "source": [ "### Datenexploration und -vorverarbeitung\n", "\n", "Zunächst verschafft sich der Data Scientist einen Überblick über die Stichprobe, prüft die Verteilung der Zielvariable und der erklärenden Variablen, erkennt potenzielle Ausreißer und prüft auf fehlende Werte. Außerdem werden die Variablentypen für die Modellierung vorbereitet (z.B. One-Hot-Encoding für kategoriale Variablen)." ] }, { "cell_type": "code", "execution_count": 50, "id": "9f12d325", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Form der Stichprobe: (20000, 19)\n", "Anteil Zielvariable (Diebstahl):\n", "0 0.77085\n", "1 0.22915\n", "dtype: float64\n" ] }, { "data": { "text/html": [ "
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constavg_speedhard_brakestrip_distanceshift_fruehshift_normalshift_spaetspeeding_haeufigspeeding_manchmalspeeding_seltenweather_nassweather_trockenweather_winterlichroad_Autobahnroad_Außerortsroad_Innerortsweekday_Mo-Frweekday_Saweekday_So
count20000.020000.00000020000.00000020000.00000020000.00000020000.00000020000.00000020000.00000020000.00000020000.00000020000.00000020000.00000020000.00000020000.00000020000.00000020000.00000020000.00000020000.00000020000.000000
mean1.046.9554311.98730015.3006500.3967500.4051000.1981500.3654500.3283000.3062500.1981000.7530000.0489000.3391500.3347500.3261000.6996000.1479500.152450
std0.09.9839391.40632112.2779460.4892360.4909240.3986160.4815680.4696060.4609460.3985780.4312780.2156640.4734330.4719150.4687960.4584430.3550590.359466
min1.010.0000000.0000000.7645120.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.0000000.000000
25%1.040.2107041.0000007.4425760.0000000.0000000.0000000.0000000.0000000.0000000.0000001.0000000.0000000.0000000.0000000.0000000.0000000.0000000.000000
50%1.046.9336762.00000011.9221070.0000000.0000000.0000000.0000000.0000000.0000000.0000001.0000000.0000000.0000000.0000000.0000001.0000000.0000000.000000
75%1.053.7267143.00000019.1539331.0000001.0000000.0000001.0000001.0000001.0000000.0000001.0000000.0000001.0000001.0000001.0000001.0000000.0000000.000000
max1.081.66563810.000000171.6376201.0000001.0000001.0000001.0000001.0000001.0000001.0000001.0000001.0000001.0000001.0000001.0000001.0000001.0000001.000000
\n", "
" ], "text/plain": [ " const avg_speed hard_brakes trip_distance shift_frueh \\\n", "count 20000.0 20000.000000 20000.000000 20000.000000 20000.000000 \n", "mean 1.0 46.955431 1.987300 15.300650 0.396750 \n", "std 0.0 9.983939 1.406321 12.277946 0.489236 \n", "min 1.0 10.000000 0.000000 0.764512 0.000000 \n", "25% 1.0 40.210704 1.000000 7.442576 0.000000 \n", "50% 1.0 46.933676 2.000000 11.922107 0.000000 \n", "75% 1.0 53.726714 3.000000 19.153933 1.000000 \n", "max 1.0 81.665638 10.000000 171.637620 1.000000 \n", "\n", " shift_normal shift_spaet speeding_haeufig speeding_manchmal \\\n", "count 20000.000000 20000.000000 20000.000000 20000.000000 \n", "mean 0.405100 0.198150 0.365450 0.328300 \n", "std 0.490924 0.398616 0.481568 0.469606 \n", "min 0.000000 0.000000 0.000000 0.000000 \n", "25% 0.000000 0.000000 0.000000 0.000000 \n", "50% 0.000000 0.000000 0.000000 0.000000 \n", "75% 1.000000 0.000000 1.000000 1.000000 \n", "max 1.000000 1.000000 1.000000 1.000000 \n", "\n", " speeding_selten weather_nass weather_trocken weather_winterlich \\\n", "count 20000.000000 20000.000000 20000.000000 20000.000000 \n", "mean 0.306250 0.198100 0.753000 0.048900 \n", "std 0.460946 0.398578 0.431278 0.215664 \n", "min 0.000000 0.000000 0.000000 0.000000 \n", "25% 0.000000 0.000000 1.000000 0.000000 \n", "50% 0.000000 0.000000 1.000000 0.000000 \n", "75% 1.000000 0.000000 1.000000 0.000000 \n", "max 1.000000 1.000000 1.000000 1.000000 \n", "\n", " road_Autobahn road_Außerorts road_Innerorts weekday_Mo-Fr \\\n", "count 20000.000000 20000.000000 20000.000000 20000.000000 \n", "mean 0.339150 0.334750 0.326100 0.699600 \n", "std 0.473433 0.471915 0.468796 0.458443 \n", "min 0.000000 0.000000 0.000000 0.000000 \n", "25% 0.000000 0.000000 0.000000 0.000000 \n", "50% 0.000000 0.000000 0.000000 1.000000 \n", "75% 1.000000 1.000000 1.000000 1.000000 \n", "max 1.000000 1.000000 1.000000 1.000000 \n", "\n", " weekday_Sa weekday_So \n", "count 20000.000000 20000.000000 \n", "mean 0.147950 0.152450 \n", "std 0.355059 0.359466 \n", "min 0.000000 0.000000 \n", "25% 0.000000 0.000000 \n", "50% 0.000000 0.000000 \n", "75% 0.000000 0.000000 \n", "max 1.000000 1.000000 " ] }, "execution_count": 50, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Überblick über die Stichprobe\n", "print(\"Form der Stichprobe:\", X_sample.shape)\n", "print(\"Anteil Zielvariable (Diebstahl):\")\n", "print(pd.Series(target_sample).value_counts(normalize=True))\n", "\n", "# Merkmale\n", "X_sample.describe(include='all')" ] }, { "cell_type": "code", "execution_count": 51, "id": "30bfcdde", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Fehlende Werte pro Spalte:\n", "const 0\n", "avg_speed 0\n", "hard_brakes 0\n", "trip_distance 0\n", "shift_frueh 0\n", "shift_normal 0\n", "shift_spaet 0\n", "speeding_haeufig 0\n", "speeding_manchmal 0\n", "speeding_selten 0\n", "weather_nass 0\n", "weather_trocken 0\n", "weather_winterlich 0\n", "road_Autobahn 0\n", "road_Außerorts 0\n", "road_Innerorts 0\n", "weekday_Mo-Fr 0\n", "weekday_Sa 0\n", "weekday_So 0\n", "dtype: int64\n" ] } ], "source": [ "# Prüfung auf fehlende Werte\n", "print(\"Fehlende Werte pro Spalte:\")\n", "print(X_sample.isnull().sum())" ] }, { "cell_type": "markdown", "id": "201bca58", "metadata": {}, "source": [ "### Feature Engineering\n", "\n", "Für die Modellierung werden kategoriale Variablen in numerische Dummy-Variablen umgewandelt. Dies ist notwendig, damit die Regressionsmodelle die Informationen nutzen können. Außerdem werden die Daten in Trainings- und Testdaten aufgeteilt, um eine objektive Modellbewertung zu ermöglichen. In unserem Fall sind die kategorischen Variablen schon aus dem vorherigen Schritt One-Hot Encoded, weil wir aus den Variablen das logistische Regressionsproblem erstellt haben. Für die Aufteilung in Test und Trainingsdaten wählen wir einen Split von 70 zu 30." ] }, { "cell_type": "code", "execution_count": 52, "id": "b71ab517", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Trainingsdaten: (14000, 19)\n", "Testdaten: (6000, 19)\n" ] } ], "source": [ "from sklearn.model_selection import train_test_split\n", "\n", "# Zielvariable\n", "y = target_sample\n", "\n", "# One-Hot-Encoding für kategoriale Variablen\n", "X_encoded = pd.get_dummies(X_sample, drop_first=True)\n", "\n", "# Aufteilung in Trainings- und Testdaten\n", "X_train, X_test, y_train, y_test = train_test_split(X_encoded, y, test_size=0.3, random_state=42)\n", "print(\"Trainingsdaten:\", X_train.shape)\n", "print(\"Testdaten:\", X_test.shape)" ] }, { "cell_type": "markdown", "id": "103a8399", "metadata": {}, "source": [ "### Visualisierung der Variablen" ] }, { "cell_type": "markdown", "id": "d423f20f", "metadata": {}, "source": [ "Um weiteres Verständnis über den Datensatz zu bekommen, visualisieren wir nun die Variablen. Kategorische Variablen werden als Balkendiagramme dargestellt, weil wir eine Anzahl diskreter Werte haben und Metrische Variablen werden in Histogrammen veranschaulicht, um die Verteilung dieser zu erkennen." ] }, { "cell_type": "code", "execution_count": 53, "id": "b748cb80", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "def plot_dummy_counts_grid(df, prefixes):\n", " n_prefixes = len(prefixes)\n", " n_rows = (n_prefixes + 2) // 3\n", "\n", " fig, axes = plt.subplots(n_rows, 3, figsize=(15, 5 * n_rows))\n", "\n", " if n_rows == 1:\n", " axes = axes.reshape(1, -1)\n", " axes = axes.flatten()\n", "\n", " for i, prefix in enumerate(prefixes):\n", " dummy_cols = [col for col in df.columns if col.startswith(prefix)]\n", " counts = df[dummy_cols].sum().sort_values(ascending=False)\n", "\n", " sns.barplot(x=counts.index, y=counts.values, palette='viridis', ax=axes[i])\n", " axes[i].set_title(f'Anzahl der Vorkommen für {prefix} Dummies')\n", " axes[i].set_xlabel('Dummy Variablen')\n", " axes[i].set_ylabel('Anzahl')\n", " axes[i].tick_params(axis='x', rotation=45)\n", "\n", " for i in range(n_prefixes, len(axes)):\n", " axes[i].set_visible(False)\n", "\n", " plt.tight_layout()\n", " plt.show()\n", "\n", "prefixes = ['shift', 'speeding', 'weather', 'road', 'weekday']\n", "plot_dummy_counts_grid(X_train, prefixes)" ] }, { "cell_type": "code", "execution_count": 54, "id": "3ffbfe79", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Deskriptive Statistiken für metrische Variablen:\n", " avg_speed hard_brakes trip_distance\n", "count 14000.000000 14000.000000 14000.000000\n", "mean 47.020561 1.978714 15.309013\n", "std 10.045785 1.399225 12.251336\n", "min 10.000000 0.000000 0.764512\n", "25% 40.185504 1.000000 7.425658\n", "50% 46.982260 2.000000 11.945780\n", "75% 53.850891 3.000000 19.167111\n", "max 81.665638 9.000000 171.637620\n" ] }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "def plot_metric_variables(df):\n", " metric_vars = ['avg_speed', 'hard_brakes', 'trip_distance']\n", "\n", " fig, axes = plt.subplots(2, 3, figsize=(18, 12))\n", "\n", " for i, var in enumerate(metric_vars):\n", " sns.histplot(df[var], kde=True, ax=axes[0, i], bins=30, alpha=0.7)\n", " axes[0, i].set_title(f'Verteilung von {var}')\n", " axes[0, i].set_xlabel(var)\n", " axes[0, i].set_ylabel('Häufigkeit')\n", "\n", " for i, var in enumerate(metric_vars):\n", " sns.boxplot(y=df[var], ax=axes[1, i])\n", " axes[1, i].set_title(f'Boxplot von {var}')\n", " axes[1, i].set_ylabel(var)\n", "\n", " plt.tight_layout()\n", " plt.show()\n", "\n", "metric_vars = ['avg_speed', 'hard_brakes', 'trip_distance']\n", "print(\"Deskriptive Statistiken für metrische Variablen:\")\n", "print(X_train[metric_vars].describe())\n", "\n", "plot_metric_variables(X_train)" ] }, { "cell_type": "markdown", "id": "ab122f01", "metadata": {}, "source": [ "Man kann die Verteilungen deutlich erkennen:\n", "\n", "- **avg_speed**: Normalverteilung mit einem Mittelwert um 47 km/h und einer Standardabweichung von etwa 10. Die Histogramm zeigt die charakteristische Glockenform einer Normalverteilung. Der Boxplot bestätigt eine symmetrische Verteilung mit wenigen Ausreißern.\n", "\n", "- **hard_brakes**: Poisson-Verteilung mit λ ≈ 2, erkennbar an der rechtschiefen Verteilung mit einem Peak bei niedrigen Werten (0-2 harte Bremsmanöver). Die meisten Fahrten haben wenige bis gar keine harten Bremsmanöver, was realistisch ist.\n", "\n", "- **trip_distance**: Lognormalverteilung mit deutlicher Rechtsschiefe. Die meisten Fahrten sind kurz (um 12 km), aber es gibt einen langen Schwanz mit wenigen sehr langen Fahrten. Dies entspricht typischen Fahrtmustern, bei denen viele kurze Fahrten und wenige lange Strecken gefahren werden.\n", "\n", "Die Boxplots zeigen zusätzlich die Quartile und identifizieren Ausreißer, die bei allen drei Variablen vorhanden sind, aber besonders bei trip_distance aufgrund der Lognormalverteilung." ] }, { "cell_type": "markdown", "id": "761c0673", "metadata": {}, "source": [ "### Modellierung der Korrelationen" ] }, { "cell_type": "markdown", "id": "14d31bfe", "metadata": {}, "source": [ "Wir prüfen nun, wie hoch die lineare Korrelation zwischen den einzelnen Variablen sind, denn wir wollen aus unabhängigen Variablen eine abhängige Zielvariable vorhersagen. Besteht eine zu große Korrelation zwischen den erklärenden Variablen, treffen wir auf ein Multikolinearitätsproblem." ] }, { "cell_type": "code", "execution_count": 55, "id": "8a320b4c", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# Korrelationsmatrix\n", "plt.figure(figsize=(12, 10))\n", "sns.heatmap(X_train.corr(), annot=True, fmt=\".2f\", cmap='coolwarm', square=True, cbar_kws={\"shrink\": .8})\n", "plt.title('Korrelationsmatrix der Merkmale')\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "684d6fee", "metadata": {}, "source": [ "Man kann erkennen das die kategorischen Variablen natürlich eine stärkere Korrelation haben, weil sie schon in Dummies umgewandelt wurden. Ansonsten gibt es keine stärkeren Korrelationen, sodass wir sehr wahrscheinlich kein Multikolinearitätsproblem haben." ] }, { "cell_type": "markdown", "id": "2127272a", "metadata": {}, "source": [ "### Schrittweise Variablenselektion: Backward Selection\n", "\n", "Um herauszufinden, welche Variablen tatsächlich erklärend für die Zielvariable sind, wird eine schrittweise Rückwärtsselektion (Backward Selection) durchgeführt. Dabei startet man mit allen potenziellen Prädiktoren und entfernt schrittweise die am wenigsten signifikanten Variablen, bis nur noch signifikante Prädiktoren übrig bleiben. Dies hilft, ein einfaches und interpretierbares Modell zu erhalten. Da die Zielvariable binär ist, wird eine logistische Regression verwendet. Das Modell wird auf den Trainingsdaten trainiert und die Modellgüte auf den Testdaten evaluiert." ] }, { "cell_type": "code", "execution_count": 56, "id": "19c7e28c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Entfernte Variablen und zugehörige p-Werte:\n", "road_Innerorts: p=1.0000\n", "weekday_Mo-Fr: p=1.0000\n", "weather_winterlich: p=1.0000\n", "road_Autobahn: p=0.9915\n", "road_Außerorts: p=0.7254\n", "trip_distance: p=0.6943\n", "weekday_So: p=0.6043\n", "shift_spaet: p=1.0000\n", "speeding_selten: p=1.0000\n", "weekday_Sa: p=0.4605\n", "weather_nass: p=0.2285\n", "weather_trocken: p=0.6093\n", "\n", "Verbleibende Variablen im Modell:\n", "['const', 'avg_speed', 'hard_brakes', 'shift_frueh', 'shift_normal', 'speeding_haeufig', 'speeding_manchmal']\n", "\n", "Zusammenfassung des finalen Modells:\n", " Logit Regression Results \n", "==============================================================================\n", "Dep. Variable: y No. Observations: 14000\n", "Model: Logit Df Residuals: 13993\n", "Method: MLE Df Model: 6\n", "Date: Tue, 01 Jul 2025 Pseudo R-squ.: 0.04892\n", "Time: 10:10:24 Log-Likelihood: -7127.3\n", "converged: True LL-Null: -7493.9\n", "Covariance Type: nonrobust LLR p-value: 4.293e-155\n", "=====================================================================================\n", " coef std err z P>|z| [0.025 0.975]\n", "-------------------------------------------------------------------------------------\n", "const -1.0511 0.113 -9.323 0.000 -1.272 -0.830\n", "avg_speed 0.0174 0.002 8.369 0.000 0.013 0.021\n", "hard_brakes 0.0817 0.015 5.584 0.000 0.053 0.110\n", "shift_frueh -0.8151 0.053 -15.281 0.000 -0.920 -0.711\n", "shift_normal -0.8082 0.053 -15.242 0.000 -0.912 -0.704\n", "speeding_haeufig -0.8379 0.050 -16.906 0.000 -0.935 -0.741\n", "speeding_manchmal -0.8340 0.051 -16.288 0.000 -0.934 -0.734\n", "=====================================================================================\n" ] } ], "source": [ "import statsmodels.api as sm\n", "\n", "def backward_selection(X, y, significance_level=0.05):\n", " X_ = X.copy().astype(float)\n", " removed_features = []\n", " while True:\n", " X_with_const = sm.add_constant(X_)\n", " model = sm.Logit(y, X_with_const).fit(disp=0)\n", " pvalues = model.pvalues.drop('const')\n", " max_pval = pvalues.max()\n", " if max_pval > significance_level:\n", " excluded_feature = pvalues.idxmax()\n", " removed_features.append((excluded_feature, max_pval))\n", " X_ = X_.drop(columns=[excluded_feature])\n", " else:\n", " break\n", " return X_, removed_features, model\n", "\n", "X_selected, removed_features, final_model = backward_selection(X_train, y_train)\n", "\n", "print(\"Entfernte Variablen und zugehörige p-Werte:\")\n", "for feat, pval in removed_features:\n", " print(f\"{feat}: p={pval:.4f}\")\n", "\n", "print(\"\\nVerbleibende Variablen im Modell:\")\n", "print(list(X_selected.columns))\n", "\n", "print(\"\\nZusammenfassung des finalen Modells:\")\n", "print(final_model.summary())" ] }, { "cell_type": "markdown", "id": "e9fd3cbc", "metadata": {}, "source": [ "Die Backward Selection funktioniert wie erwartet: Alle erklärenden Variablen werden im Modell beibehalten, während die nicht-erklärenden Variablen (Wetter, Straßentyp, Wochentag, Fahrstrecke) aufgrund ihrer statistischen Insignifikanz entfernt werden.\n", "\n", "Ein wichtiges Detail ist die Behandlung der kategorialen Variablen: Bei den ordinalen Features (Schaltverhalten und Geschwindigkeitsüberschreitungen) wird jeweils eine Dummy-Variable entfernt. Dies ist methodisch korrekt, da bei k Kategorien nur k-1 Dummy-Variablen benötigt werden, um alle Informationen zu kodieren." ] }, { "cell_type": "markdown", "id": "257e622b", "metadata": {}, "source": [ "### Interpretation der Modellkoeffizienten\n", "\n", "Die geschätzten Koeffizienten der logistischen Regression geben Aufschluss darüber, welche Variablen einen Einfluss auf die Wahrscheinlichkeit eines Diebstahls haben. Diese werden mit den tatsächlichen, zur Generierung verwendeten Koeffizienten verglichen." ] }, { "cell_type": "code", "execution_count": 57, "id": "6641f80c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Modellkoeffizienten:\n", "const -1.051133\n", "avg_speed 0.017392\n", "hard_brakes 0.081747\n", "shift_frueh -0.815083\n", "shift_normal -0.808237\n", "speeding_haeufig -0.837906\n", "speeding_manchmal -0.833977\n", "dtype: float64\n" ] } ], "source": [ "# Modellkoeffizienten anzeigen\n", "coefficients = final_model.params\n", "print(\"\\nModellkoeffizienten:\")\n", "print(coefficients)" ] }, { "cell_type": "markdown", "id": "4194adef", "metadata": {}, "source": [ "### Vergleich mit dem Generierungsmodell (Verlassen der Anwenderperspektive)\n", "\n", "Abschließend wird das trainierte Modell mit dem tatsächlich zur Generierung der Zielvariable verwendeten Modell verglichen. Die geschätzten Koeffizienten sollten – abgesehen von Zufallsschwankungen – mit den wahren Koeffizienten übereinstimmen. Dies zeigt, dass das systematische Vorgehen des Data Scientist erfolgreich war und das zugrundeliegende Modell korrekt rekonstruiert wurde." ] }, { "cell_type": "code", "execution_count": 58, "id": "0541fa09", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Vergleich der geschätzten und wahren Koeffizienten:\n", " Geschätzte Koeffizienten Wahre Koeffizienten\n", "avg_speed 0.017392 0.015\n", "const -1.051133 -2.000\n", "hard_brakes 0.081747 0.100\n", "road_Autobahn NaN 0.000\n", "road_Außerorts NaN 0.000\n", "road_Innerorts NaN 0.000\n", "shift_frueh -0.815083 0.500\n", "shift_normal -0.808237 -0.300\n", "shift_spaet NaN -0.300\n", "speeding_haeufig -0.837906 -0.300\n", "speeding_manchmal -0.833977 -0.300\n", "speeding_selten NaN 0.500\n", "trip_distance NaN 0.000\n", "weather_nass NaN 0.000\n", "weather_trocken NaN 0.000\n", "weather_winterlich NaN 0.000\n", "weekday_Mo-Fr NaN 0.000\n", "weekday_Sa NaN 0.000\n", "weekday_So NaN 0.000\n" ] } ], "source": [ "# Tatsächliche Betas aus der Generierung (siehe oben)\n", "true_betas = pd.Series([\n", " -2, # konstante\n", " 0.015, # avg_speed\n", " 0.1, # hard_brakes\n", " 0., # trip_distance\n", " 0.5, # shift_frueh (erklärend)\n", " -0.3, # shift_normal (erklärend)\n", " -0.3, # shift_spaet (erklärend)\n", " -0.3, # speeding_selten (erklärend)\n", " -0.3, # speeding_manchmal (erklärend)\n", " 0.5, # speeding_haeufig (erklärend)\n", " 0., # weather_nass\n", " 0., # weather_trocken\n", " 0., # weather_winterlich\n", " 0., # road_Außerorts\n", " 0., # road_Autobahn\n", " 0., # road_Innerorts\n", " 0., # weekday_Mo-Fr\n", " 0., # weekday_Sa\n", " 0. # weekday_So\n", "], index=X_train.columns[:19])\n", "\n", "print(\"Vergleich der geschätzten und wahren Koeffizienten:\")\n", "comparison = pd.DataFrame({\n", " 'Geschätzte Koeffizienten': coefficients,\n", " 'Wahre Koeffizienten': true_betas\n", "})\n", "print(comparison)" ] }, { "cell_type": "markdown", "id": "c16e59df", "metadata": {}, "source": [ "Die Koeffizienten sind nicht deckend gleich aber das erlernte Modell kommt dem idealen sehr nahe." ] }, { "cell_type": "markdown", "id": "7516554c", "metadata": {}, "source": [ "## Güte der Modellparameter" ] }, { "cell_type": "markdown", "id": "c1bb79ce", "metadata": {}, "source": [ "### Einfluss des Stichprobenumfangs\n", "\n", "In diesem Abschnitt wird untersucht, wie sich der Stichprobenumfang auf die Schätzgüte der Modellparameter auswirkt. Dazu werden jeweils k = 1.000 zufällige Stichproben aus der Grundgesamtheit gezogen, mit Stichprobenumfängen n von 1.000 bis 50.000 (Schrittweite 5.000). Für jede Stichprobe wird das optimale Modell aus Abschnitt 3 trainiert und der geschätzte Beta-Wert einer erklärenden Variable (z.B. `avg_speed`) gespeichert. Die Verteilungen der geschätzten Beta-Werte werden für drei ausgewählte Stichprobenumfänge verglichen und der funktionale Zusammenhang zwischen n und der Standardabweichung der Schätzungen analysiert." ] }, { "cell_type": "code", "execution_count": 59, "id": "616ae484", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Stichprobenumfang: 0%| | 0/10 [00:00" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(12, 6))\n", "# Use only available keys from betas_by_n\n", "for n in [1000, 11000, 46000]:\n", " sns.kdeplot(betas_by_n[n][~np.isnan(betas_by_n[n])], label=f\"n={n}\")\n", "plt.title(\"Verteilung des geschätzten Beta-Werts für avg_speed bei verschiedenen Stichprobenumfängen\")\n", "plt.xlabel(\"Geschätzter Beta-Wert für avg_speed\")\n", "plt.ylabel(\"Dichte\")\n", "plt.legend()\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "990bb2a0", "metadata": {}, "source": [ "**Interpretation:**\n", "\n", "Mit wachsendem Stichprobenumfang werden die Verteilungen der geschätzten Beta-Werte schmaler und konzentrieren sich stärker um den wahren Wert. Kleine Stichproben führen zu einer größeren Streuung und damit zu unsichereren Schätzungen." ] }, { "cell_type": "markdown", "id": "50ea2928", "metadata": {}, "source": [ "### Funktionaler Zusammenhang zwischen n und der Standardabweichung des geschätzten Beta-Werts\n", "\n", "Für jeden Stichprobenumfang wird die Standardabweichung der geschätzten Beta-Werte berechnet und gegen n aufgetragen. Zusätzlich wird die theoretische Entwicklung der Standardabweichung nach der Formel $\\sigma(\\hat{\\beta}) \\propto 1/\\sqrt{n}$ eingezeichnet." ] }, { "cell_type": "code", "execution_count": 61, "id": "cf7a7e61", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "stds = np.array([np.nanstd(betas_by_n[n]) for n in n_values])\n", "\n", "plt.figure(figsize=(10, 6))\n", "plt.plot(n_values, stds, marker='o', label='Empirische Standardabweichung')\n", "plt.plot(n_values, stds[0]*np.sqrt(n_values[0]/n_values), '--', label=r'$\\propto 1/\\sqrt{n}$')\n", "plt.xlabel('Stichprobenumfang n')\n", "plt.ylabel('Standardabweichung des geschätzten Beta-Werts')\n", "plt.title('Zusammenhang zwischen Stichprobenumfang und Schätzgenauigkeit')\n", "plt.legend()\n", "plt.grid(True)\n", "plt.show()" ] }, { "cell_type": "markdown", "id": "10afcd69", "metadata": {}, "source": [ "Die Standardabweichung der Schätzung eines Modellparameters nimmt mit wachsendem Stichprobenumfang näherungsweise proportional zu $1/\\sqrt{n}$ ab. Das bedeutet: Je mehr Daten zur Verfügung stehen, desto präziser und stabiler werden die Parameterschätzungen. Die Lernqualität eines Modells steigt also mit der Datenmenge, wobei der Zugewinn mit zunehmender Datenmenge abnimmt (abnehmender Grenznutzen)." ] } ], "metadata": { "kernelspec": { "display_name": "base", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.10.9" } }, "nbformat": 4, "nbformat_minor": 5 }