{ "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": 15, "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": 16, "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": 17, "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": 17, "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": 18, "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": 19, "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": 20, "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": 20, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.head()" ] }, { "cell_type": "markdown", "id": "d27de9c5", "metadata": {}, "source": [ "### Dummies erzeugen" ] }, { "cell_type": "code", "execution_count": 21, "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": 21, "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": 22, "id": "75318d77", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\yann\\AppData\\Local\\Temp\\ipykernel_18236\\1239231251.py:39: FutureWarning: \n", "\n", "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n", "\n", " sns.countplot(x=target, palette='viridis')\n" ] }, { "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": 23, "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": 24, "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", "Name: proportion, 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": 24, "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": 25, "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. 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. Grundsätzlich sollte eine Aufteilung in Trainings- und Testdaten durchgeführt werden, jedoch habe ich mich aufgrund des kleinen Samples (20.000 Instanzen) und weil es die Aufgabe nicht vorgibt dagegen entschieden (siehe Parameter **test_size**)" ] }, { "cell_type": "code", "execution_count": 26, "id": "b71ab517", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Trainingsdaten: (20000, 19)\n" ] } ], "source": [ "from sklearn.model_selection import train_test_split\n", "\n", "# Zielvariable\n", "y = target_sample\n", "\n", "# One-Hot-Encoding (eigentlich schon oben gemacht)\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=0.0, random_state=22)\n", "X_train = X_encoded\n", "y_train = y\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": 27, "id": "b748cb80", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\yann\\AppData\\Local\\Temp\\ipykernel_18236\\658816552.py:15: FutureWarning: \n", "\n", "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n", "\n", " sns.barplot(x=counts.index, y=counts.values, palette='viridis', ax=axes[i])\n", "C:\\Users\\yann\\AppData\\Local\\Temp\\ipykernel_18236\\658816552.py:15: FutureWarning: \n", "\n", "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n", "\n", " sns.barplot(x=counts.index, y=counts.values, palette='viridis', ax=axes[i])\n", "C:\\Users\\yann\\AppData\\Local\\Temp\\ipykernel_18236\\658816552.py:15: FutureWarning: \n", "\n", "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n", "\n", " sns.barplot(x=counts.index, y=counts.values, palette='viridis', ax=axes[i])\n", "C:\\Users\\yann\\AppData\\Local\\Temp\\ipykernel_18236\\658816552.py:15: FutureWarning: \n", "\n", "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n", "\n", " sns.barplot(x=counts.index, y=counts.values, palette='viridis', ax=axes[i])\n", "C:\\Users\\yann\\AppData\\Local\\Temp\\ipykernel_18236\\658816552.py:15: FutureWarning: \n", "\n", "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n", "\n", " sns.barplot(x=counts.index, y=counts.values, palette='viridis', ax=axes[i])\n" ] }, { "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": 28, "id": "3ffbfe79", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Deskriptive Statistiken für metrische Variablen:\n", " avg_speed hard_brakes trip_distance\n", "count 20000.000000 20000.000000 20000.000000\n", "mean 46.955431 1.987300 15.300650\n", "std 9.983939 1.406321 12.277946\n", "min 10.000000 0.000000 0.764512\n", "25% 40.210704 1.000000 7.442576\n", "50% 46.933676 2.000000 11.922107\n", "75% 53.726714 3.000000 19.153933\n", "max 81.665638 10.000000 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": 29, "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": 30, "id": "19c7e28c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Entfernte Variablen und zugehörige p-Werte:\n", "weekday_Mo-Fr: p=1.0000\n", "speeding_selten: p=1.0000\n", "road_Außerorts: p=1.0000\n", "trip_distance: p=0.9301\n", "weekday_So: p=0.8271\n", "weather_winterlich: p=1.0000\n", "weekday_Sa: p=0.8550\n", "road_Innerorts: p=0.7525\n", "shift_spaet: p=1.0000\n", "road_Autobahn: p=0.8026\n", "weather_trocken: p=0.1308\n", "weather_nass: p=0.6593\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: 20000\n", "Model: Logit Df Residuals: 19993\n", "Method: MLE Df Model: 6\n", "Date: Thu, 03 Jul 2025 Pseudo R-squ.: 0.04762\n", "Time: 14:03:27 Log-Likelihood: -10252.\n", "converged: True LL-Null: -10765.\n", "Covariance Type: nonrobust LLR p-value: 2.930e-218\n", "=====================================================================================\n", " coef std err z P>|z| [0.025 0.975]\n", "-------------------------------------------------------------------------------------\n", "const -1.0447 0.094 -11.071 0.000 -1.230 -0.860\n", "avg_speed 0.0171 0.002 9.839 0.000 0.014 0.021\n", "hard_brakes 0.0824 0.012 6.788 0.000 0.059 0.106\n", "shift_frueh -0.8005 0.045 -17.983 0.000 -0.888 -0.713\n", "shift_normal -0.7930 0.044 -17.902 0.000 -0.880 -0.706\n", "speeding_haeufig -0.8291 0.041 -20.057 0.000 -0.910 -0.748\n", "speeding_manchmal -0.8153 0.043 -19.171 0.000 -0.899 -0.732\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": 31, "id": "6641f80c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Modellkoeffizienten:\n", "const -1.044708\n", "avg_speed 0.017141\n", "hard_brakes 0.082381\n", "shift_frueh -0.800488\n", "shift_normal -0.792985\n", "speeding_haeufig -0.829066\n", "speeding_manchmal -0.815301\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": 32, "id": "0541fa09", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Vergleich der geschätzten und wahren Koeffizienten:\n", " Geschätzte Koeffizienten Wahre Koeffizienten\n", "avg_speed 0.017141 0.015\n", "const -1.044708 -2.000\n", "hard_brakes 0.082381 0.100\n", "road_Autobahn NaN 0.000\n", "road_Außerorts NaN 0.000\n", "road_Innerorts NaN 0.000\n", "shift_frueh -0.800488 0.500\n", "shift_normal -0.792985 -0.300\n", "shift_spaet NaN -0.300\n", "speeding_haeufig -0.829066 -0.300\n", "speeding_manchmal -0.815301 -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 (erklärend)\n", " 0.1, # hard_brakes (erklärend)\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": "hft_ml", "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": "3.11.10" } }, "nbformat": 4, "nbformat_minor": 5 }