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"StyleView", "description_width": "" } } } } }, "cells": [ { "cell_type": "markdown", "source": [ "## **Assignment #2: Classification, Regression, Clustering, Evaluation**" ], "metadata": { "id": "w84cR3AZIU0e" } }, { "cell_type": "markdown", "source": [ "`Version: April 2026`" ], "metadata": { "id": "sDxa7s952Ukh" } }, { "cell_type": "markdown", "source": [ "\n", "\n", "" ], "metadata": { "id": "xi3YxJnH2YGd" } }, { "cell_type": "markdown", "source": [ "
" ], "metadata": { "id": "PnYmknSefeqx" } }, { "cell_type": "markdown", "source": [ "### **Overview**\n", "\n", "In this assignment, you'll level up your data science toolkit. While the first assignment focused on the data, on this one you will practice:\n", "\n", "- Classification models\n", "\n", "- Regression models\n", "\n", "- Feature Engineering\n", "\n", "- Evaluations\n", "\n", "You’ll go from raw data to insights by building a full modeling pipeline, enhancing your dataset, and training different models.\n", "\n", "This assignment will be completed individually." ], "metadata": { "id": "n7afdXdxIbLA" } }, { "cell_type": "markdown", "source": [ "### **Objectives**\n", "\n", "You’ll gain hands-on experience in:\n", "- Evaluation\n", "- Classification\n", "- Regression\n", "- Dataset preparation\n", "- Explore various data hubs\n", "- Engineering meaningful features\n", "- Communicating findings clearly - visually and verbally\n", "\n", "

" ], "metadata": { "id": "lJAPMumvIUyW" } }, { "cell_type": "markdown", "source": [ "### **Submission Guidelines**\n", "\n", "1. Please note that this assignmnet must be submitted alone.\n", "2. Submit the link to your HugingFace Model.\n", "\n", "Your HF model should include:\n", "- README file: explanations, visuals, insights, etc.\n", "- **Video**: Include the video of your presentation in the README file.\n", "- **Python Notebook**: upload a copy of this notebook, with all of your coding work. Do not submit a Colab link; include the `.ipynb` file in the HF model.\n", "- **ML Models:** Upload your models.\n", "\n", "Note: Students may be randomly chosen to present their work in a quick online session with the T.A., typically lasting ±10 minutes. Similar to Peer Review.\n", "\n", "

\n", "\n" ], "metadata": { "id": "MwRmaJBiIjMR" } }, { "cell_type": "markdown", "source": [ "### **Evaluation Criteria**\n", "\n", "* **Data Handling & EDA (20%)**\n", " Thoughtful and thorough data cleaning; handling of missing values, outliers, duplicates, and more; well-chosen visualizations; clear statistical summaries; use of EDA to guide modeling choices.\n", "\n", "* **Feature Engineering (20%)**\n", " Creative and effective feature creation, transformation, encoding, selection, scaling, and more; integration of clustering results as features; clear explanation of feature choices and their impact.\n", "\n", "* **Model Training (20%)**\n", " Appropriate selection of models; correct train/test split; reproducible code; logical modeling workflow with a solid baseline and improvements post-feature engineering. An iterative process.\n", "\n", "* **Evaluation & Interpretation (20%)**\n", " Use of relevant evaluation metrics; structured model comparison; use of feature importance or visualizations to interpret results; clear discussion of what the model learned and how it performed.\n", "\n", "* **Presentation (20%)**\n", " 4–6 minute video with clear delivery; structured narrative; visuals that support the explanation; confident, professional communication of findings and lessons.\n", "\n", "* **Bonus (up to +10%)**\n", " Extra work such as trying data science tools, creative visualizations, advanced hyper param tuning, interactive dashboards, and deeper business/domain insights.\n", "\n", "* **Late Submission (-10% per day)**\n", " Assignments submitted after the deadline will receive a 10% penalty per day.\n", "\n", "

" ], "metadata": { "id": "hD9SZmagIjOV" } }, { "cell_type": "markdown", "source": [ "### **Additional Guidelines**\n", "\n", "- The first thing you should do is download a copy of this notebook to your drive.\n", "- Keep your dataset size manageable. If the dataset is too large, you can sample a subset.\n", "- Run on Colab (CPU is fine). Colab free is enough. No GPU needed.\n", "- You may use any Python package (scikit-learn, xgboost, lightgbm, catboost, etc.).\n", "- No SHAP required. Use `feature_importances`, and similar tools.\n", "- Make sure your results are reproducible (set **seeds** where needed).\n", "- Be thoughtful with your cluster features — only use them if they help!\n", "- Your presentation should tell a story; what worked, what didn’t, and why.\n", "- Be creative, but also rigorous." ], "metadata": { "id": "h3vpVHSxIUwI" } }, { "cell_type": "markdown", "source": [ "### Assignment High-level Flow" ], "metadata": { "id": "7lTH1B5b5c12" } }, { "cell_type": "markdown", "source": [ 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)" ], "metadata": { "id": "EK9fe2XygjgM" } }, { "cell_type": "markdown", "source": [ "


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" ], "metadata": { "id": "6kUonEv8Ipkp" } }, { "cell_type": "markdown", "source": [ "imports" ], "metadata": { "id": "acyYQrhPdEhB" } }, { "cell_type": "code", "source": [ "import os\n", "import random\n", "\n", "import numpy as np\n", "import pandas as pd\n", "\n", "import seaborn\n", "import matplotlib.pyplot as plt\n", "\n", "# " ], "metadata": { "id": "H9ZazAMOc5jC" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "Set Seeds" ], "metadata": { "id": "TPaWKBWmdGNF" } }, { "cell_type": "code", "source": [ "SEED = 42\n", "\n", "random.seed(SEED)\n", "np.random.seed(SEED)\n", "os.environ['PYTHONHASHSEED'] = str(SEED)\n", "\n", "# " ], "metadata": { "id": "zBaCUY21dHeF" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "For Jupyter Notebooks" ], "metadata": { "id": "INAizD1WeZcf" } }, { "cell_type": "code", "source": [ "%matplotlib inline\n", "%config InlineBackend.figure_format = 'retina'" ], "metadata": { "id": "G0hg5eohd4s-" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "Warnings" ], "metadata": { "id": "UwSXkPGvecLK" } }, { "cell_type": "code", "source": [ "import warnings\n", "warnings.filterwarnings('ignore')" ], "metadata": { "id": "Nk9C78G3d7vp" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "

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" ], "metadata": { "id": "evFmlLbzdgBj" } }, { "cell_type": "markdown", "source": [ "# **Part 1: Select a Regression Dataset**\n", "\n", "1. Choose a numeric & categorical tabular dataset. If you prefer, you may use open-source datasets; [Hugginface](https://huggingface.co/datasets?task_categories=task_categories:tabular-classification&sort=trending), [Kaggle](https://www.kaggle.com/datasets?tags=13302-Classification&minUsabilityRating=8.00+or+higher), etc.\n", "\n", "2. Avoid choosing a \"basic\"/\"small\" dataset.\n", " - 10K rows and more.\n", " - 15 features and more.\n", " - Mix of Numeric & Categorial features are a must.\n", "\n", "3. The Label (target variable) is numeric.\n", "\n", "4. Please submit your dataset [here](https://forms.gle/zS8aZbBzuBV2z7wZ7), to share it with the class so everyone can see.\n", "And make sure your chosen dataset is unique using this [link](https://docs.google.com/spreadsheets/d/1M8uojrzhSyVnOlSAJpzCKxrhWdzPR77k4x8Kxvr8VDk/edit?usp=sharing).\n", "\n", " *Note: Due to their popularity, the following are datasets you may not choose.*\n", " > - Iris dataset\n", " > - Wine dataset\n", " > - Titanic dataset\n", " > - Boston Housing dataset\n", " > - ImageNet, Cifar, CelebFaces, IMDB\n", "\n", "5. Choose a dataset with a combination of numeric and textual values. This way you would have enough information to work on.\n", "\n", "6. Briefly describe your chosen dataset (source, size, features) and the question you want to answer." ], "metadata": { "id": "a_vsO0Q1IOMT" } }, { "cell_type": "markdown", "source": [ "-------------------------------" ], "metadata": { "id": "kpAqq4cEedLz" } }, { "cell_type": "markdown", "source": [ "For this assignment, I have selected the \"airline-satisfaction-analysis\" dataset from Hugging Face. This dataset contains comprehensive survey results from airline passengers, capturing demographic information, flight details, and service quality ratings. this data set has 103,904 rows and 25 columns.\n", "\n", " Data Types: A mix of Numerical (e.g., Age, Delay times), Categorical (e.g., Class, Customer Type), and Ordinal (e.g., Service ratings 1-5).\n", "\n", "i will use this following 15 features to investigate factors leading to flight delays and their impact:\n", "\n", "id: Unique passenger identifier.\n", "\n", "Gender: Passenger gender.\n", "\n", "Customer Type: Loyalty status (Loyal/Disloyal).\n", "\n", "Age: Passenger age.\n", "\n", "Type of Travel: Purpose of flight (Business/Personal).\n", "\n", "Class: Travel class (Business/Eco/Eco Plus).\n", "\n", "Flight Distance: Total distance of the flight.\n", "\n", "Inflight wifi service: Quality rating of wifi.\n", "\n", "Ease of Online booking: Quality rating of the booking process.\n", "\n", "Food and drink: Quality rating of catering.\n", "\n", "Seat comfort: Quality rating of seating.\n", "\n", "Cleanliness: Quality rating of cabin hygiene.\n", "\n", "Departure Delay in Minutes: Delay at takeoff.\n", "\n", "Arrival Delay in Minutes: (Target Variable) Delay at landing.\n", "\n", "satisfaction: Overall passenger satisfaction level.\n", "\n", "Research Question and Objective\n", "\n", "Research Question: \"To what extent can we accurately predict the duration of the Arrival Delay based on the departure delay, flight distance, and the specific travel profile of the passenger?\".\n", "\n", "Objective: The primary goal is to develop a Regression Model to estimate the delay time in minutes. Subsequently, this target will be transformed into classes for a Classification Task to predict whether a flight will be categorized as \"delayed\".\n" ], "metadata": { "id": "GFaHgQJyKwa5" } }, { "cell_type": "code", "source": [ "!pip install datasets -q" ], "metadata": { "id": "NF51q1HoNcog" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "import pandas as pd\n", "from datasets import load_dataset\n", "ds = load_dataset(\"drukeroni/airline-satisfaction-analysis\")\n", "\n", "\n" ], "metadata": { "id": "GHYJOdDTNchQ", "colab": { "base_uri": "https://localhost:8080/", "height": 333, "referenced_widgets": [ "06391f7857d2417c950e47da8f90dc2e", "1ce45e7c2b204c5b9df6c5e00ceeea92", "28c1dfb3b2be4fb2b3f00f78c57f5180", "f1909950d1c84ac890167a32528635a6", "1a90fbb9b6db4e77b3340918a114c646", "56a4c86373c54aa99b0a42c3a34d07ab", "3d70f376464b41c7aa36dac910abedd6", "8734d4510b074f63a05b0423b9cdb124", "2aa86e9773684b0aa75244242cb95924", "7e8bb8a756fa4940a2d2e2197507309e", "8e5c1108346c4dae832d84ed542cc698", "13407b375be14278b85f71b8bc032091", "37395be8db3d49eda6bab4474b487cb8", "4baecda4c6ac462c952aff2ae00ac78d", "73fd8d47ea7c4e758dcbf074a4416e86", "d8e5b646647d418d8fb84304740c78c3", "ffe90fb71e8b4778b32796783800f245", "f45f1bd30b004f02bd83604389f93a1f", "a55ebd86cbe14b86970f4c42802b89ec", "d59cd838a3de4310a0f0feef7b1c6b9f", "74dabbb78fa64f66bddcba59ac78cc4d", "7ed15d67724745afa19e2e50851dc57c", "f8134e6c3a384c338564b49ebcb89b35", "258ba0a827424897bac969fda4746b57", "444ecef6479947969a9dcbecdc73053a", "3b592cee80664db0b8ad5deaeefdd52b", "f1bb9e737974470080634d3671931e74", "d805335782754c95a8dea236657e4cbc", "b38cef09ccb9474882373e3540017b94", "70c0ac39056d46d39fe876e941c969db", "6a546256052d4ea8b31dbf1ba70e005f", "7aaccd2c85e541ee9d6d7faeb4b280e4", "aa900122191142e7b9540b37fabdf308", "5c4cbce43e984df7ae1b424976d76cb7", "59173e34bcd940eb95a2719e11687f87", "6ae6a186432040bc9b015e872fdf6a5a", "bc6f22d884d34233b149c048f889030e", "b57c3f12237848eca7bea91e76f7d0a7", "a9f365eb64fc44a2acc537f89ca627c0", "88795f8e48434ab4936ceb9c66c235e6", "3342bea2545345a6a0bea440285ee59c", "2a650189988746a8b628ad8dfa405bb1", "866e09bf533045b9bddf04f5f7a5183d", "984b002c2a2b4a96b863293b9efe40ca", "e944104cf0474f7f8a20eac5678341a4", "497439a3b2bc4317b87f7427060556e2", "5264f1b785d246709d76e95a37a9b1ef", "c85629dbbc564089a37eadc6cf9b49d4", "82c0cdd9b87d45078f99f7dffde8dc7c", "4112e39320794818bd0836541752aec7", "ec1ad30ac0e141fbae93a9d21fb7f8e7", "5b00c6f1f267482a9b0d2650ed8099dc", "c687017be7284f08a0884e2134864c6e", "8b38e26d70a44d5c81ed16529852401b", "022eb6729cc446de8f372e07b95a3f09" ] }, "outputId": "27c7e8c5-b9f9-44c6-df3c-a7748f6edb4c" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stderr", "text": [ "/usr/local/lib/python3.12/dist-packages/huggingface_hub/utils/_auth.py:93: UserWarning: \n", "The secret `HF_TOKEN` does not exist in your Colab secrets.\n", "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n", "You will be able to reuse this secret in all of your notebooks.\n", "Please note that authentication is recommended but still optional to access public models or datasets.\n", " warnings.warn(\n", "Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n", "WARNING:huggingface_hub.utils._http:Warning: You are sending unauthenticated requests to the HF Hub. Please set a HF_TOKEN to enable higher rate limits and faster downloads.\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "README.md: 0.00B [00:00, ?B/s]" ], "application/vnd.jupyter.widget-view+json": { "version_major": 2, "version_minor": 0, "model_id": "06391f7857d2417c950e47da8f90dc2e" } }, "metadata": {} }, { "output_type": "display_data", "data": { "text/plain": [ "train.csv: 0%| | 0.00/12.2M [00:00

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" ], "metadata": { "id": "4t2QNyE6IPKS" } }, { "cell_type": "markdown", "source": [ "# **Part 2: Exploratory Data Analysis (EDA)**\n", "\n", "Use your EDA to tell the story of your data - highlight interesting patterns, anomalies, or relationships that lead you toward your classification goal. Ask interesting questions, and answer them.\n", "\n", "\n", "1. **Data Cleaning** : Check for missing values, duplicate entries, scaling/normalize issues, parsing dates, fixing typos, or any inconsistencies. Document how you address them.\n", "2. **Outlier Detection & Handling**: Identify outliers and decide whether to keep or remove them, providing a short justification.\n", "2. **Descriptive Statistics**: Summarize the data (e.g., mean, median, correlations) to reveal patterns.\n", "4. **Visualizations**: Use a set of plots (e.g., histograms, scatter plots, box plots) to illustrate **key insights.** Label charts, axes, and legends clearly.\n", "\n", "Tip: not necessarily in this order." ], "metadata": { "id": "6eLmNWJJIPS0" } }, { "cell_type": "code", "source": [ "# and more..." ], "metadata": { "id": "fUEbi2wOhssS" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "This code loads the dataset into a Pandas table and displays its overall structure and column types.\n", "It identifies missing values and duplicate rows to ensure data integrity before proceeding with the research." ], "metadata": { "id": "kJ0lHXL5-xeF" } }, { "cell_type": "code", "source": [ "#convert data to a Pandas table\n", "df = ds['train'].to_pandas()\n", "\n", "#Print the total rows and columns\n", "print(f\"Dataset successfully loaded. DataFrame shape: {df.shape}\")\n", "\n", "#display column data types and memory info\n", "print(\"Data Structure & Types\")\n", "df.info()\n", "\n", "#check and Counts missing values per column\n", "print()\n", "print(\"Missing Values\")\n", "print(df.isnull().sum())\n", "\n", "#count duplicate rows\n", "duplicate_count = df.duplicated().sum()\n", "print(f\"Duplicate Rows:{duplicate_count}\")\n", "\n", "#preview the first 5 rows\n", "df.head()\n" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "outputId": "cba05d64-594d-46f0-d53f-ec7e96dc1676", "id": "9FulOdT8IPuM" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Dataset successfully loaded. DataFrame shape: (103904, 25)\n", "Data Structure & Types\n", "\n", "RangeIndex: 103904 entries, 0 to 103903\n", "Data columns (total 25 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 Unnamed: 0 103904 non-null int64 \n", " 1 id 103904 non-null int64 \n", " 2 Gender 103904 non-null object \n", " 3 Customer Type 103904 non-null object \n", " 4 Age 103904 non-null int64 \n", " 5 Type of Travel 103904 non-null object \n", " 6 Class 103904 non-null object \n", " 7 Flight Distance 103904 non-null int64 \n", " 8 Inflight wifi service 103904 non-null int64 \n", " 9 Departure/Arrival time convenient 103904 non-null int64 \n", " 10 Ease of Online booking 103904 non-null int64 \n", " 11 Gate location 103904 non-null int64 \n", " 12 Food and drink 103904 non-null int64 \n", " 13 Online boarding 103904 non-null int64 \n", " 14 Seat comfort 103904 non-null int64 \n", " 15 Inflight entertainment 103904 non-null int64 \n", " 16 On-board service 103904 non-null int64 \n", " 17 Leg room service 103904 non-null int64 \n", " 18 Baggage handling 103904 non-null int64 \n", " 19 Checkin service 103904 non-null int64 \n", " 20 Inflight service 103904 non-null int64 \n", " 21 Cleanliness 103904 non-null int64 \n", " 22 Departure Delay in Minutes 103904 non-null int64 \n", " 23 Arrival Delay in Minutes 103594 non-null float64\n", " 24 satisfaction 103904 non-null object \n", "dtypes: float64(1), int64(19), object(5)\n", "memory usage: 19.8+ MB\n", "\n", "Missing Values\n", "Unnamed: 0 0\n", "id 0\n", "Gender 0\n", "Customer Type 0\n", "Age 0\n", "Type of Travel 0\n", "Class 0\n", "Flight Distance 0\n", "Inflight wifi service 0\n", "Departure/Arrival time convenient 0\n", "Ease of Online booking 0\n", "Gate location 0\n", "Food and drink 0\n", "Online boarding 0\n", "Seat comfort 0\n", "Inflight entertainment 0\n", "On-board service 0\n", "Leg room service 0\n", "Baggage handling 0\n", "Checkin service 0\n", "Inflight service 0\n", "Cleanliness 0\n", "Departure Delay in Minutes 0\n", "Arrival Delay in Minutes 310\n", "satisfaction 0\n", "dtype: int64\n", "Duplicate Rows:0\n" ] }, { "output_type": "execute_result", "data": { "text/plain": [ " Unnamed: 0 id Gender Customer Type Age Type of Travel \\\n", "0 0 70172 Male Loyal Customer 13 Personal Travel \n", "1 1 5047 Male disloyal Customer 25 Business travel \n", "2 2 110028 Female Loyal Customer 26 Business travel \n", "3 3 24026 Female Loyal Customer 25 Business travel \n", "4 4 119299 Male Loyal Customer 61 Business travel \n", "\n", " Class Flight Distance Inflight wifi service \\\n", "0 Eco Plus 460 3 \n", "1 Business 235 3 \n", "2 Business 1142 2 \n", "3 Business 562 2 \n", "4 Business 214 3 \n", "\n", " Departure/Arrival time convenient ... Inflight entertainment \\\n", "0 4 ... 5 \n", "1 2 ... 1 \n", "2 2 ... 5 \n", "3 5 ... 2 \n", "4 3 ... 3 \n", "\n", " On-board service Leg room service Baggage handling Checkin service \\\n", "0 4 3 4 4 \n", "1 1 5 3 1 \n", "2 4 3 4 4 \n", "3 2 5 3 1 \n", "4 3 4 4 3 \n", "\n", " Inflight service Cleanliness Departure Delay in Minutes \\\n", "0 5 5 25 \n", "1 4 1 1 \n", "2 4 5 0 \n", "3 4 2 11 \n", "4 3 3 0 \n", "\n", " Arrival Delay in Minutes satisfaction \n", "0 18.0 neutral or dissatisfied \n", "1 6.0 neutral or dissatisfied \n", "2 0.0 satisfied \n", "3 9.0 neutral or dissatisfied \n", "4 0.0 satisfied \n", "\n", "[5 rows x 25 columns]" ], "text/html": [ "\n", "
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Unnamed: 0idGenderCustomer TypeAgeType of TravelClassFlight DistanceInflight wifi serviceDeparture/Arrival time convenient...Inflight entertainmentOn-board serviceLeg room serviceBaggage handlingCheckin serviceInflight serviceCleanlinessDeparture Delay in MinutesArrival Delay in Minutessatisfaction
0070172MaleLoyal Customer13Personal TravelEco Plus46034...54344552518.0neutral or dissatisfied
115047Maledisloyal Customer25Business travelBusiness23532...115314116.0neutral or dissatisfied
22110028FemaleLoyal Customer26Business travelBusiness114222...543444500.0satisfied
3324026FemaleLoyal Customer25Business travelBusiness56225...2253142119.0neutral or dissatisfied
44119299MaleLoyal Customer61Business travelBusiness21433...334433300.0satisfied
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\n" ], "application/vnd.google.colaboratory.intrinsic+json": { "type": "dataframe", "variable_name": "df" } }, "metadata": {}, "execution_count": 3 } ] }, { "cell_type": "markdown", "source": [ "\n", "\n", "---\n", "\n" ], "metadata": { "id": "sgIKzJIy4-3i" } }, { "cell_type": "markdown", "source": [ "This code filters the dataset to include only the 15 relevant features and removes rows with missing arrival delay information.\n", "It then prints the updated data info to verify the final columns and row count before starting the analysis." ], "metadata": { "id": "MN_5CK8zg1Ve" } }, { "cell_type": "code", "source": [ "#List of 15 features selected for the research\n", "features_to_keep = [\n", " 'id', 'Gender', 'Customer Type', 'Age', 'Type of Travel',\n", " 'Class', 'Flight Distance', 'Inflight wifi service',\n", " 'Ease of Online booking', 'Food and drink', 'Seat comfort',\n", " 'Cleanliness', 'Departure Delay in Minutes',\n", " 'Arrival Delay in Minutes', 'satisfaction'\n", "]\n", "\n", "#Keep only selected columns in the dataframe\n", "df = df[features_to_keep]\n", "\n", "#Drop rows where target variable 'Arrival Delay in Minutes' is missing\n", "df = df.dropna(subset=['Arrival Delay in Minutes'])\n", "\n", "#Display data structure and data types\n", "print(\"Data Structure & Types:\")\n", "df.info()" ], "metadata": { "id": "MJKZ14aCUMRm", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "c08e16bc-4ffb-4dbe-c2bf-fe6254108639" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Data Structure & Types:\n", "\n", "Index: 103594 entries, 0 to 103903\n", "Data columns (total 15 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 id 103594 non-null int64 \n", " 1 Gender 103594 non-null object \n", " 2 Customer Type 103594 non-null object \n", " 3 Age 103594 non-null int64 \n", " 4 Type of Travel 103594 non-null object \n", " 5 Class 103594 non-null object \n", " 6 Flight Distance 103594 non-null int64 \n", " 7 Inflight wifi service 103594 non-null int64 \n", " 8 Ease of Online booking 103594 non-null int64 \n", " 9 Food and drink 103594 non-null int64 \n", " 10 Seat comfort 103594 non-null int64 \n", " 11 Cleanliness 103594 non-null int64 \n", " 12 Departure Delay in Minutes 103594 non-null int64 \n", " 13 Arrival Delay in Minutes 103594 non-null float64\n", " 14 satisfaction 103594 non-null object \n", "dtypes: float64(1), int64(9), object(5)\n", "memory usage: 12.6+ MB\n" ] } ] }, { "cell_type": "markdown", "source": [ "\n", "\n", "---\n", "\n" ], "metadata": { "id": "5VlimBfH5J44" } }, { "cell_type": "markdown", "source": [ "This code identifies all text columns and standardizes them by converting to lowercase and removing extra spaces.\n", "It ensures data uniformity and prevents duplicate categories to prepare the dataset for accurate encoding and analysis." ], "metadata": { "id": "f5jiTzkEum4y" } }, { "cell_type": "code", "source": [ "#Identify categorical columns (text)\n", "categorical_cols = df.select_dtypes(include=['object']).columns\n", "\n", "#Convert to lowercase and remove leading/trailing spaces\n", "for col in categorical_cols:\n", " df[col] = df[col].astype(str).str.strip().str.lower()\n", "\n", "#Confirm cleaning\n", "print(\"Strings standardized to lowercase and stripped of spaces.\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "YAi7JLfyoAB_", "outputId": "526e7dd0-f03a-44f7-f4f4-849f1a4cab3e" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Strings standardized to lowercase and stripped of spaces.\n" ] } ] }, { "cell_type": "markdown", "source": [ "\n", "\n", "---\n", "\n" ], "metadata": { "id": "XlyD5KWi5N_v" } }, { "cell_type": "markdown", "source": [ "This code calculates the frequency and percentage distribution for each categorical feature in the dataset.\n", "It helps analyze the balance of the data and identify the most common values for each text column." ], "metadata": { "id": "1osfig8Tu2TA" } }, { "cell_type": "code", "source": [ "#Calculate counts and percentages for each categorical feature\n", "print(\"Categorical Value Counts & Percentages\")\n", "print(\"-\" * 50)\n", "\n", "for col in categorical_cols:\n", " counts = df[col].value_counts()\n", " percentages = df[col].value_counts(normalize=True) * 100\n", "\n", " print(f\"\\nFeature: {col}\")\n", " for val, count in counts.items():\n", " print(f\" - {val:<25}: {count:>6} counts ({percentages[val]:.2f}%)\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "tAvHm2z_tvIs", "outputId": "f9942e55-2ee1-431e-8b4f-59a9f521945b" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Categorical Value Counts & Percentages\n", "--------------------------------------------------\n", "\n", "Feature: Gender\n", " - female : 52576 counts (50.75%)\n", " - male : 51018 counts (49.25%)\n", "\n", "Feature: Customer Type\n", " - loyal customer : 84662 counts (81.72%)\n", " - disloyal customer : 18932 counts (18.28%)\n", "\n", "Feature: Type of Travel\n", " - business travel : 71465 counts (68.99%)\n", " - personal travel : 32129 counts (31.01%)\n", "\n", "Feature: Class\n", " - business : 49533 counts (47.81%)\n", " - eco : 46593 counts (44.98%)\n", " - eco plus : 7468 counts (7.21%)\n", "\n", "Feature: satisfaction\n", " - neutral or dissatisfied : 58697 counts (56.66%)\n", " - satisfied : 44897 counts (43.34%)\n" ] } ] }, { "cell_type": "markdown", "source": [ "\n", "\n", "---\n", "\n" ], "metadata": { "id": "GtVvFUmY5TkI" } }, { "cell_type": "markdown", "source": [ "This code uses the IQR method to detect outliers in numerical columns like age, distance, and delays.\n", "It calculates the percentage of extreme values for each feature to help decide on the best data cleaning strategy." ], "metadata": { "id": "vvKFPVy4u56q" } }, { "cell_type": "code", "source": [ "#List of continuous numerical features to check for outliers\n", "continuous_cols = ['Age', 'Flight Distance', 'Departure Delay in Minutes', 'Arrival Delay in Minutes']\n", "\n", "print(\"Outlier Analysis (IQR Method)\")\n", "print(\"-\" * 40)\n", "\n", "for col in continuous_cols:\n", " #Calculate Q1, Q3 and IQR\n", " Q1 = df[col].quantile(0.25)\n", " Q3 = df[col].quantile(0.75)\n", " IQR = Q3 - Q1\n", "\n", " #Define outlier bounds\n", " lower_bound = Q1 - 1.5 * IQR\n", " upper_bound = Q3 + 1.5 * IQR\n", "\n", " #Count and calculate percentage of outliers\n", " n_outliers = df[(df[col] < lower_bound) | (df[col] > upper_bound)].shape[0]\n", " pct = (n_outliers / len(df)) * 100\n", "\n", " print(f\"{col:<30}: {n_outliers:>6} outliers ({pct:.2f}%)\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "HOleYARgtzmB", "outputId": "88ab3d87-d37b-4d2c-9c97-b472874adb2e" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Outlier Analysis (IQR Method)\n", "----------------------------------------\n", "Age : 0 outliers (0.00%)\n", "Flight Distance : 2287 outliers (2.21%)\n", "Departure Delay in Minutes : 14428 outliers (13.93%)\n", "Arrival Delay in Minutes : 13954 outliers (13.47%)\n" ] } ] }, { "cell_type": "markdown", "source": [ "\n", "\n", "---\n", "\n" ], "metadata": { "id": "xOw2W7K-5YBU" } }, { "cell_type": "markdown", "source": [ "This code displays the unique values for each service rating column to verify they are within the expected 1-5 range.\n", "It helps detect inconsistent or unexpected values, such as 0, ensuring the rating scales are accurate for the research." ], "metadata": { "id": "uICxI5_ru9mt" } }, { "cell_type": "code", "source": [ "#List of service rating columns (1-5 scale)\n", "ordinal_cols = [\n", " 'Inflight wifi service', 'Ease of Online booking',\n", " 'Food and drink', 'Seat comfort', 'Cleanliness'\n", "]\n", "\n", "print(\"Integrity Check for Rating Scales (Expected 1-5):\")\n", "print(\"-\" * 55)\n", "\n", "for col in ordinal_cols:\n", " #Get all unique values in the column\n", " unique_vals = sorted(df[col].unique())\n", " print(f\"{col:<30}: {unique_vals}\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "BTf1EpsJt2-h", "outputId": "221f4c0d-a282-4b70-d330-3b4de7beed1c" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Integrity Check for Rating Scales (Expected 1-5):\n", "-------------------------------------------------------\n", "Inflight wifi service : [np.int64(0), np.int64(1), np.int64(2), np.int64(3), np.int64(4), np.int64(5)]\n", "Ease of Online booking : [np.int64(0), np.int64(1), np.int64(2), np.int64(3), np.int64(4), np.int64(5)]\n", "Food and drink : [np.int64(0), np.int64(1), np.int64(2), np.int64(3), np.int64(4), np.int64(5)]\n", "Seat comfort : [np.int64(0), np.int64(1), np.int64(2), np.int64(3), np.int64(4), np.int64(5)]\n", "Cleanliness : [np.int64(0), np.int64(1), np.int64(2), np.int64(3), np.int64(4), np.int64(5)]\n" ] } ] }, { "cell_type": "markdown", "source": [ "### **Research:** Pose relevant questions about your dataset, then answer them using visual elements (e.g. charts or plots) to provide clear insights.\n", "\n", "For example, in the 2nd lecture the entire class took a survey. Then, we talked about the collected data and desplayed the collected data using the right **plots** - Lines, Bars, Hist, Pie, Map, HeatMap, Area, Time, etc.\n", "\n", "An aditional more specific example, would be the questions we asked during the recitation on the `Titanic` dataset:\n", " - \"Did survival rates differ by gender?\"\n", " - \"Was passenger class related to survival?\"\n", " - \"What was the age distribution of survivors vs. non-survivors?\"\n", " - \"Did embarking location (port) have any effect on survival?\" \n", " \n", "And how we answered those questions using **plots**.\n", "\n", "The idea is to pose questions that can uncover patterns, correlations, or anomalies in your dataset, then back those up with clean, insightful visualizations." ], "metadata": { "id": "lo68PsjTK0_j" } }, { "cell_type": "markdown", "source": [ "-------------------------------" ], "metadata": { "id": "xu9pxT2NTk5M" } }, { "cell_type": "markdown", "source": [ "Following the detection of outliers in flight distance, how extreme is their distribution and what impact might they have on the model's scaling?" ], "metadata": { "id": "beJGHKJHDjoj" } }, { "cell_type": "code", "source": [ "import seaborn as sns\n", "import matplotlib.pyplot as plt\n", "\n", "#Plot size\n", "plt.figure(figsize=(10, 5))\n", "\n", "#Create a boxplot for Flight Distance in light blue color\n", "sns.boxplot(x=df['Flight Distance'], color='lightblue')\n", "\n", "#Add title and axis labels\n", "plt.title('Distribution and Outliers of Flight Distance')\n", "plt.xlabel('Flight Distance (Miles)')\n", "\n", "#Display the plot\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 487 }, "id": "_lWGYsaBDm5n", "outputId": "8e3d5f40-dce0-4a85-c060-972ec659efb6" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
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\n" }, "metadata": {} } ] }, { "cell_type": "markdown", "source": [ "This boxplot displays the distribution of flight distances and identifies extreme outliers that could distort the model's data scaling.\n", "It serves as visual evidence for the capping strategy needed to ensure data quality and better performance in future modeling.\n" ], "metadata": { "id": "iBYVxtbmFW-S" } }, { "cell_type": "markdown", "source": [ "-------------------------------" ], "metadata": { "id": "1Sdtcx9PFaft" } }, { "cell_type": "markdown", "source": [ "Following the detection of outliers in flight delays, how are departure and arrival delays distributed, and what do these extreme values indicate about the data set?" ], "metadata": { "id": "z9uES5wsIFQh" } }, { "cell_type": "code", "source": [ "import seaborn as sns\n", "import matplotlib.pyplot as plt\n", "\n", "#Set the figure size for two plots side-by-side\n", "plt.figure(figsize=(12, 6))\n", "\n", "#Plot 1: Departure Delay Box Plot\n", "#shows the range and outliers for departure delays\n", "plt.subplot(1, 2, 1)\n", "sns.boxplot(y=df['Departure Delay in Minutes'], color='green')\n", "plt.title('Departure Delay')\n", "plt.ylabel('Minutes')\n", "\n", "#Plot 2: Arrival Delay Box Plot\n", "#shows the range and outliers for arrival delays\n", "plt.subplot(1, 2, 2)\n", "sns.boxplot(y=df['Arrival Delay in Minutes'], color='red')\n", "plt.title('Arrival Delay')\n", "plt.ylabel('Minutes')\n", "\n", "#Adjust layout to prevent overlapping\n", "plt.tight_layout()\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 607 }, "id": "Nwu_JpJUMETv", "outputId": "46f6cc47-e886-48b5-f7c2-1f73c1f9b786" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
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}, "metadata": {} } ] }, { "cell_type": "markdown", "source": [ "These plots visualize the distribution of flight delays.\n" ], "metadata": { "id": "qW8pMTiHM4Em" } }, { "cell_type": "markdown", "source": [ "-------------------------------\n" ], "metadata": { "id": "Za-IGmOjNgsN" } }, { "cell_type": "markdown", "source": [ "How are the satisfaction ratings distributed, and what does the presence of '0' values in a 1-5 scale indicate about data quality?" ], "metadata": { "id": "d4JFX_7GNxGF" } }, { "cell_type": "code", "source": [ "import seaborn as sns\n", "import matplotlib.pyplot as plt\n", "\n", "#Set the figure size\n", "plt.figure(figsize=(10, 6))\n", "\n", "#Create a countplot to check the frequency of ratings using an EXISTING column\n", "sns.countplot(x=df['Inflight wifi service'], color='lightblue')\n", "\n", "#Add title and axis labels\n", "plt.title('Frequency of Satisfaction Ratings (1-5 Scale)')\n", "plt.xlabel('Rating Score (Inflight wifi service)')\n", "plt.ylabel('Count')\n", "\n", "#Display the plot\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 564 }, "id": "Vp93EKhGZBER", "outputId": "1b27a7ac-d4bf-4247-be6d-a3028d449386" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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NfNWakpKiU6dO6YMPPsi27b59+0rK/jD+1WFQ+r9fDLOezch6nudmtyy1a9dOgYGBmjt3rqQrz3z85z//UZcuXW74HExKSorOnTuX4z7XqlVLmZmZOnjw4A23fT2BgYGaMWOGDh8+rN27d+u9996Tn5+fRo0apX/96192uwMHDqhPnz4qU6aMPD095efnp5YtW0q6cstqfkyYMEFJSUkKDg7W/fffrzFjxti/6N/Mjh079Oijj8rHx0fe3t7y8/OzB2XIqie35yW38nMebtZ3buaLL75QbGys5s2bpwceeEBHjx51+qVdutKP3n33Xd17771yd3dXuXLl5Ofnp23btuX73OS2/qxgmdMImNdOe+GFF1S9enV17NhRFSpUUL9+/bRkyZJc13L1HwjyKiUlRcnJyfbnRq90cHNzU0xMjE6dOqWEhISbrrtJkyb68ssvdfLkSW3atEkjRozQ6dOn9fjjj+vnn3+WdKUvuri4qHbt2jdcV276dU727Nmj1NRUlS9fPtu/a2fOnMlxgBHLshjQAyhgPEMGoNDK6RdISZo4cWK24bezeHp6Kj09PdfbuN4vFtc+DJ+17T//+c/XfW4q6zmlLK6urjm2y+sviK6ururZs6f++c9/avr06Vq3bp0OHTqUr9HdCprD4VD16tVVvXp1derUSffee6/mzp2rp59+WhkZGWrXrp1OnDih4cOHq2bNmipVqpR+//139enTJ9/DpT/55JNq3ry5vvrqKy1btkwTJ07Um2++qS+//FIdO3a87nKnTp1Sy5Yt5e3trbFjx6pq1ary8PDQli1bNHz48EI1fPut9p0WLVrYz2N27txZ9erVU69evZSQkGBfafnHP/6hV199Vf369dO4ceNUpkwZubi4aPDgwbd8LAqq70tXBrlITEzU0qVLtXjxYi1evFizZ89W7969sw1nf7WyZctKyn2IzUmTJk2crkqOHj36hu+eCw4OlnRlwJTccnNzU5MmTdSkSRNVr15dffv21YIFC+yBaW7mVvp1Zmamypcvb/+x51p+fn45bu/qZ30B3DoCGYA/jKpVq0q6MpLftVfTrubn56cSJUrYV9Sutnv3bqfvWX+5v/aludfeGubn5ycvLy9lZGTccNt5kbU/SUlJN11n79699fbbb+vbb7/V4sWL5efnd9PbL/38/FSyZMls+yxdeXGyi4uL/QtkQahSpYpKly6tw4cPS7oysMovv/yijz76yOldTTndepbXv7gHBgbqhRde0AsvvKCjR4+qUaNGev31128YyFauXKnjx4/ryy+/VIsWLezp+/btc2qX2/OS25rv9Hm4lqenp0aPHq2+ffvqs88+U/fu3SVJn3/+uVq3bu10RVPK/gv37bgakjWqZ06jjuY0zc3NTZ07d1bnzp2VmZmpF154Qe+//75effXV675nrmLFiipRokS285sXc+fOdbr98OpbTnOSdaU2pyCTG1mvAcn6GapataoyMzP1888/X/ePULnt1zmpWrWqfvjhBz344IPZ/gCWk99//10XL15UrVq1crE3AHKLWxYB/GGEhoaqatWqeuutt3K8dShrWHBXV1dFRERo4cKFOnDggD1/586dWrp0qdMy3t7eKleunFavXu00ffr06U7fXV1d1bVrV33xxRdKSkq67rbzolGjRqpcubImTZqULRBeeyWhfv36ql+/vj788EN98cUX6t69+01fPOzq6qr27dvr66+/tkfZk66MFjlv3jw99NBD8vb2znPdGzdu1NmzZ7NN37Rpk44fP27fmpd1leTqfbEsK8fhykuVKiUpezC+VkZGRrZbsMqXL6+goKCbXhnNqZ6LFy9mO9e5PS+5rfl2nYe86NWrlypUqGCPUphV17X9bMGCBdleo5Db/cyLoKAg1a1bVx9//LHTz/KqVau0fft2p7ZZz4JlcXFxsa9G3+icFy9eXI0bN9aPP/6Y7zoffPBBp1uqswJZTj/vp0+f1qRJk1SuXDl7NMLrWbFiRY5XC7///ntJ/3drdWRkpFxcXDR27NhsV7qyls9tv87Jk08+qYyMDI0bNy7bvMuXL2c751m3Yt5slE0AecMVMgB/GC4uLvrwww/VsWNH1alTR3379tU999yj33//XStWrJC3t7e+/fZbSVeGil6yZImaN2+uF154QZcvX9aUKVNUp04dbdu2zWm9Tz/9tN544w09/fTTaty4sVavXq1ffvkl2/bfeOMNrVixQk2bNtWAAQNUu3ZtnThxQlu2bNEPP/yQp9uUsvZnxowZ6ty5sxo2bKi+ffsqMDBQu3bt0o4dO7KFx969e+ull16SpFzfrvj3v/9dsbGxeuihh/TCCy+oWLFiev/995Wenq4JEybkqd4sn3zyiebOnatHH31UoaGhcnNz086dOzVr1ix5eHjob3/7mySpZs2aqlq1ql566SX9/vvv8vb21hdffJHjLWRZv8C++OKLioiIkKurq30l52qnT59WhQoV9Pjjj6tBgwby9PTUDz/8oM2bN+vtt9++Yd3NmjVT6dKlFRUVpRdffFEOh0OffPJJtl+Mc3tecluzdHvOQ14UL15cgwYN0rBhw7RkyRJ16NBBjzzyiMaOHau+ffuqWbNm2r59u+bOnZvtKlDVqlXl6+urmTNnysvLS6VKlVLTpk2zPeOZV//4xz/UpUsXPfjgg+rbt69OnjypqVOnqm7duk4h7emnn9aJEyfUpk0bVahQQb/99pumTJmihg0b3vRKTZcuXfTKK68oLS3NKfSmpqZqypQpkmS/w3Dq1Kny9fWVr6+vYmJibrjeadOmaeHChercubMqVqyow4cPa9asWTpw4IA++eSTm74cfeDAgTp37pweffRR1axZUxcvXtT69es1f/58hYSE2M+lVqtWTa+88orGjRun5s2b67HHHpO7u7s2b96soKAgjR8/Ptf9OictW7bUs88+q/HjxysxMVHt27dX8eLFtWfPHi1YsECTJ0/W448/brePjY1VxYoVGfIeKGh3dlBHAPi/ob03b96c4/ysYeMXLFiQ4/yffvrJeuyxx6yyZcta7u7uVqVKlawnn3zSiouLc2q3atUqKzQ01HJzc7OqVKlizZw50x4W/Grnzp2z+vfvb/n4+FheXl7Wk08+aR09ejTb0OWWZVlHjhyxoqOjreDgYKt48eJWQECA1bZtW+uDDz64af3XG2J/7dq1Vrt27SwvLy+rVKlSVv369XMcqvvw4cOWq6urVb169RyPy/Vs2bLFioiIsDw9Pa2SJUtarVu3ttavX59jbbkZ9n7btm3WsGHDrEaNGlllypSxihUrZgUGBlpPPPGEtWXLFqe2P//8sxUeHm55enpa5cqVswYMGGBt3bo123G4fPmyNXDgQMvPz89yOBxO5+jq85Cenm4NGzbMatCggX28GjRokG2o8esNe79u3TrrgQcesEqUKGEFBQXZw41LslasWOHU9mbnJbc1Z8nNebjez0ZWn7q2xmtdb78ty7JSU1MtHx8fq2XLlpZlXRn2/i9/+YsVGBholShRwnrwwQet+Ph4q2XLlnabLF9//bVVu3Ztq1ixYk7n7nrD3ufUj3I6Jp9++qlVs2ZNy93d3apbt671zTffWF27drVq1qxpt/n888+t9u3bW+XLl7fc3NysihUrWs8++6x1+PDhGx4Ly7ry81qsWDHrk08+cZqeVWdOn6v353qWLVtmtWvXzgoICLCKFy9u+fr6Wu3bt8/2b9D1LF682OrXr59Vs2ZNy9PT03Jzc7OqVatmDRw40Dpy5Ei29rNmzbLuu+8+y93d3SpdurTVsmVLKzY21p6f23597fnK8sEHH1ihoaFWiRIlLC8vL6tevXrWyy+/bB06dMhuk5GRYQUGBlojR47M1T4CyD2HZd3C8EMA8AczZswYvfbaa7c08popx44dU2BgoEaNGqVXX33VdDnAbdGwYUP5+fnleZj76+nfv79++eUXrVmzpkDWV1QtXLhQPXv21N69exUYGGi6HOCuwjNkAPAHMWfOHGVkZOipp54yXQpwyy5duqTLly87TVu5cqW2bt2qVq1aFdh2Ro8erc2bN9u3JiJ/3nzzTcXExBDGgNuAZ8gAoJBbvny5fv75Z73++uuKjIxUSEiI6ZKAW/b7778rPDxcf/7znxUUFKRdu3Zp5syZCggI0HPPPVdg26lYsaIuXLhQYOsrquLj402XANy1CGQAUMiNHTtW69ev14MPPmgPRAD80ZUuXVqhoaH68MMPlZKSolKlSqlTp05644037HeIAUBRwDNkAAAAAGAIz5ABAAAAgCEEMgAAAAAwhGfICkhmZqYOHTokLy8vORwO0+UAAAAAMMSyLJ0+fVpBQUFycbnxNTACWQE5dOiQgoODTZcBAAAAoJA4ePCgKlSocMM2BLIC4uXlJenKQff29jZcDQAAAABT0tLSFBwcbGeEGyGQFZCs2xS9vb0JZAAAAABy9SgTg3oAAAAAgCEEMgAAAAAwhEAGAAAAAIYQyAAAAADAEAIZAAAAABhCIAMAAAAAQwhkAAAAAGAIgQwAAAAADCGQAQAAAIAhBDIAAAAAMIRABgAAAACGEMgAAAAAwBACGQAAAAAYQiADAAAAAEMIZAAAAABgCIEMAAAAAAwhkAEAAACAIQQyAAAAADCEQAYAAAAAhhQzXQAAFHWLduw3XQJuoFOdkDuyHfpB4XWn+gCAookrZAAAAABgCIEMAAAAAAwhkAEAAACAIQQyAAAAADCEQAYAAAAAhhDIAAAAAMAQAhkAAAAAGEIgAwAAAABDjAay8ePHq0mTJvLy8lL58uUVGRmp3bt3O7Vp1aqVHA6H0+e5555zanPgwAF16tRJJUuWVPny5TVs2DBdvnzZqc3KlSvVqFEjubu7q1q1apozZ062eqZNm6aQkBB5eHioadOm2rRpU4HvMwAAAABkMRrIVq1apejoaG3YsEGxsbG6dOmS2rdvr7Nnzzq1GzBggA4fPmx/JkyYYM/LyMhQp06ddPHiRa1fv14fffSR5syZo1GjRtlt9u3bp06dOql169ZKTEzU4MGD9fTTT2vp0qV2m/nz52vo0KEaPXq0tmzZogYNGigiIkJHjx69/QcCAAAAQJHksCzLMl1ElpSUFJUvX16rVq1SixYtJF25QtawYUNNmjQpx2UWL16sRx55RIcOHZK/v78kaebMmRo+fLhSUlLk5uam4cOHa9GiRUpKSrKX6969u06dOqUlS5ZIkpo2baomTZpo6tSpkqTMzEwFBwdr4MCB+utf/3rT2tPS0uTj46PU1FR5e3vfymEAUMQs2rHfdAm4gU51Qu7IdugHhded6gMA7h55yQaF6hmy1NRUSVKZMmWcps+dO1flypVT3bp1NWLECJ07d86eFx8fr3r16tlhTJIiIiKUlpamHTt22G3Cw8Od1hkREaH4+HhJ0sWLF5WQkODUxsXFReHh4Xaba6WnpystLc3pAwAAAAB5Ucx0AVkyMzM1ePBgPfjgg6pbt649vWfPnqpUqZKCgoK0bds2DR8+XLt379aXX34pSUpOTnYKY5Ls78nJyTdsk5aWpvPnz+vkyZPKyMjIsc2uXbtyrHf8+PF67bXXbm2nAQAAABRphSaQRUdHKykpSWvXrnWa/swzz9j/Xa9ePQUGBqpt27bau3evqlateqfLtI0YMUJDhw61v6elpSk4ONhYPQAAAAD+eApFIIuJidF3332n1atXq0KFCjds27RpU0nSr7/+qqpVqyogICDbaIhHjhyRJAUEBNj/mzXt6jbe3t4qUaKEXF1d5erqmmObrHVcy93dXe7u7rnfSQAAAAC4htFnyCzLUkxMjL766istX75clStXvukyiYmJkqTAwEBJUlhYmLZv3+40GmJsbKy8vb1Vu3Ztu01cXJzTemJjYxUWFiZJcnNzU2hoqFObzMxMxcXF2W0AAAAAoKAZvUIWHR2tefPm6euvv5aXl5f9zJePj49KlCihvXv3at68eXr44YdVtmxZbdu2TUOGDFGLFi1Uv359SVL79u1Vu3ZtPfXUU5owYYKSk5M1cuRIRUdH21ewnnvuOU2dOlUvv/yy+vXrp+XLl+uzzz7TokWL7FqGDh2qqKgoNW7cWPfff78mTZqks2fPqm/fvnf+wAAAAAAoEowGshkzZki6MrT91WbPnq0+ffrIzc1NP/zwgx2OgoOD1bVrV40cOdJu6+rqqu+++07PP/+8wsLCVKpUKUVFRWns2LF2m8qVK2vRokUaMmSIJk+erAoVKujDDz9URESE3aZbt25KSUnRqFGjlJycrIYNG2rJkiXZBvoAAAAAgIJSqN5D9kfGe8gA5BfvnyrceA8ZeA8ZgLz6w76HDAAAAACKEgIZAAAAABhCIAMAAAAAQwhkAAAAAGAIgQwAAAAADCGQAQAAAIAhBDIAAAAAMIRABgAAAACGEMgAAAAAwBACGQAAAAAYQiADAAAAAEMIZAAAAABgCIEMAAAAAAwhkAEAAACAIQQyAAAAADCEQAYAAAAAhhDIAAAAAMAQAhkAAAAAGEIgAwAAAABDCGQAAAAAYAiBDAAAAAAMIZABAAAAgCEEMgAAAAAwhEAGAAAAAIYQyAAAAADAEAIZAAAAABhCIAMAAAAAQwhkAAAAAGAIgQwAAAAADCGQAQAAAIAhBDIAAAAAMIRABgAAAACGEMgAAAAAwBACGQAAAAAYQiADAAAAAEMIZAAAAABgCIEMAAAAAAwhkAEAAACAIQQyAAAAADCEQAYAAAAAhhDIAAAAAMAQAhkAAAAAGEIgAwAAAABDCGQAAAAAYAiBDAAAAAAMIZABAAAAgCEEMgAAAAAwhEAGAAAAAIYQyAAAAADAEAIZAAAAABhCIAMAAAAAQwhkAAAAAGAIgQwAAAAADCGQAQAAAIAhBDIAAAAAMIRABgAAAACGEMgAAAAAwBACGQAAAAAYQiADAAAAAEMIZAAAAABgCIEMAAAAAAwhkAEAAACAIQQyAAAAADCEQAYAAAAAhhDIAAAAAMAQAhkAAAAAGEIgAwAAAABDCGQAAAAAYAiBDAAAAAAMIZABAAAAgCEEMgAAAAAwhEAGAAAAAIYQyAAAAADAEAIZAAAAABhCIAMAAAAAQ4wGsvHjx6tJkyby8vJS+fLlFRkZqd27dzu1uXDhgqKjo1W2bFl5enqqa9euOnLkiFObAwcOqFOnTipZsqTKly+vYcOG6fLly05tVq5cqUaNGsnd3V3VqlXTnDlzstUzbdo0hYSEyMPDQ02bNtWmTZsKfJ8BAAAAIIvRQLZq1SpFR0drw4YNio2N1aVLl9S+fXudPXvWbjNkyBB9++23WrBggVatWqVDhw7pscces+dnZGSoU6dOunjxotavX6+PPvpIc+bM0ahRo+w2+/btU6dOndS6dWslJiZq8ODBevrpp7V06VK7zfz58zV06FCNHj1aW7ZsUYMGDRQREaGjR4/emYMBAAAAoMhxWJZlmS4iS0pKisqXL69Vq1apRYsWSk1NlZ+fn+bNm6fHH39ckrRr1y7VqlVL8fHxeuCBB7R48WI98sgjOnTokPz9/SVJM2fO1PDhw5WSkiI3NzcNHz5cixYtUlJSkr2t7t2769SpU1qyZIkkqWnTpmrSpImmTp0qScrMzFRwcLAGDhyov/71r9lqTU9PV3p6uv09LS1NwcHBSk1Nlbe39207RgDuPot27DddAm6gU52QO7Id+kHhdaf6AIC7R1pamnx8fHKVDQrVM2SpqamSpDJlykiSEhISdOnSJYWHh9ttatasqYoVKyo+Pl6SFB8fr3r16tlhTJIiIiKUlpamHTt22G2uXkdWm6x1XLx4UQkJCU5tXFxcFB4ebre51vjx4+Xj42N/goODb3X3AQAAABQxhSaQZWZmavDgwXrwwQdVt25dSVJycrLc3Nzk6+vr1Nbf31/Jycl2m6vDWNb8rHk3apOWlqbz58/r2LFjysjIyLFN1jquNWLECKWmptqfgwcP5m/HAQAAABRZxUwXkCU6OlpJSUlau3at6VJyxd3dXe7u7qbLAAAAAPAHViiukMXExOi7777TihUrVKFCBXt6QECALl68qFOnTjm1P3LkiAICAuw21466mPX9Zm28vb1VokQJlStXTq6urjm2yVoHAAAAABQ0o4HMsizFxMToq6++0vLly1W5cmWn+aGhoSpevLji4uLsabt379aBAwcUFhYmSQoLC9P27dudRkOMjY2Vt7e3ateubbe5eh1ZbbLW4ebmptDQUKc2mZmZiouLs9sAAAAAQEEzestidHS05s2bp6+//lpeXl7281o+Pj4qUaKEfHx81L9/fw0dOlRlypSRt7e3Bg4cqLCwMD3wwAOSpPbt26t27dp66qmnNGHCBCUnJ2vkyJGKjo62byl87rnnNHXqVL388svq16+fli9frs8++0yLFi2yaxk6dKiioqLUuHFj3X///Zo0aZLOnj2rvn373vkDAwAAihxG2iy8GGkTt5PRQDZjxgxJUqtWrZymz549W3369JEkvfvuu3JxcVHXrl2Vnp6uiIgITZ8+3W7r6uqq7777Ts8//7zCwsJUqlQpRUVFaezYsXabypUra9GiRRoyZIgmT56sChUq6MMPP1RERITdplu3bkpJSdGoUaOUnJyshg0basmSJdkG+gAAAACAglKo3kP2R5aXdw0AwNX4q3jhxnvIQB8AV8iQV3/Y95ABAAAAQFFCIAMAAAAAQwhkAAAAAGAIgQwAAAAADCGQAQAAAIAhBDIAAAAAMIRABgAAAACGEMgAAAAAwBACGQAAAAAYQiADAAAAAEMIZAAAAABgCIEMAAAAAAwhkAEAAACAIQQyAAAAADCEQAYAAAAAhhDIAAAAAMAQAhkAAAAAGEIgAwAAAABDCGQAAAAAYAiBDAAAAAAMIZABAAAAgCEEMgAAAAAwhEAGAAAAAIYQyAAAAADAEAIZAAAAABhCIAMAAAAAQwhkAAAAAGAIgQwAAAAADCGQAQAAAIAhBDIAAAAAMKSY6QKAom7Rjv2mS8ANdKoTYroEAABwF+MKGQAAAAAYQiADAAAAAEMIZAAAAABgCIEMAAAAAAwhkAEAAACAIQQyAAAAADCEQAYAAAAAhhDIAAAAAMAQAhkAAAAAGEIgAwAAAABDCGQAAAAAYAiBDAAAAAAMIZABAAAAgCEEMgAAAAAwhEAGAAAAAIYQyAAAAADAEAIZAAAAABhCIAMAAAAAQwhkAAAAAGAIgQwAAAAADCGQAQAAAIAhBDIAAAAAMIRABgAAAACGEMgAAAAAwBACGQAAAAAYQiADAAAAAEMIZAAAAABgCIEMAAAAAAwhkAEAAACAIQQyAAAAADCEQAYAAAAAhhDIAAAAAMAQAhkAAAAAGEIgAwAAAABDCGQAAAAAYAiBDAAAAAAMIZABAAAAgCEEMgAAAAAwhEAGAAAAAIYQyAAAAADAEAIZAAAAABhCIAMAAAAAQwhkAAAAAGCI0UC2evVqde7cWUFBQXI4HFq4cKHT/D59+sjhcDh9OnTo4NTmxIkT6tWrl7y9veXr66v+/fvrzJkzTm22bdum5s2by8PDQ8HBwZowYUK2WhYsWKCaNWvKw8ND9erV0/fff1/g+wsAAAAAVzMayM6ePasGDRpo2rRp123ToUMHHT582P785z//cZrfq1cv7dixQ7Gxsfruu++0evVqPfPMM/b8tLQ0tW/fXpUqVVJCQoImTpyoMWPG6IMPPrDbrF+/Xj169FD//v31008/KTIyUpGRkUpKSir4nQYAAACA/6+YyY137NhRHTt2vGEbd3d3BQQE5Dhv586dWrJkiTZv3qzGjRtLkqZMmaKHH35Yb731loKCgjR37lxdvHhRs2bNkpubm+rUqaPExES98847dnCbPHmyOnTooGHDhkmSxo0bp9jYWE2dOlUzZ84swD0GAAAAgP9T6J8hW7lypcqXL68aNWro+eef1/Hjx+158fHx8vX1tcOYJIWHh8vFxUUbN26027Ro0UJubm52m4iICO3evVsnT56024SHhzttNyIiQvHx8detKz09XWlpaU4fAAAAAMiLQh3IOnTooI8//lhxcXF68803tWrVKnXs2FEZGRmSpOTkZJUvX95pmWLFiqlMmTJKTk622/j7+zu1yfp+szZZ83Myfvx4+fj42J/g4OBb21kAAAAARY7RWxZvpnv37vZ/16tXT/Xr11fVqlW1cuVKtW3b1mBl0ogRIzR06FD7e1paGqEMAAAAQJ4U6itk16pSpYrKlSunX3/9VZIUEBCgo0ePOrW5fPmyTpw4YT93FhAQoCNHjji1yfp+szbXe3ZNuvJsm7e3t9MHAAAAAPLiDxXI/ve//+n48eMKDAyUJIWFhenUqVNKSEiw2yxfvlyZmZlq2rSp3Wb16tW6dOmS3SY2NlY1atRQ6dKl7TZxcXFO24qNjVVYWNjt3iUAAAAARZjRQHbmzBklJiYqMTFRkrRv3z4lJibqwIEDOnPmjIYNG6YNGzZo//79iouLU5cuXVStWjVFRERIkmrVqqUOHTpowIAB2rRpk9atW6eYmBh1795dQUFBkqSePXvKzc1N/fv3144dOzR//nxNnjzZ6XbDQYMGacmSJXr77be1a9cujRkzRj/++KNiYmLu+DEBAAAAUHQYDWQ//vij7rvvPt13332SpKFDh+q+++7TqFGj5Orqqm3btulPf/qTqlevrv79+ys0NFRr1qyRu7u7vY65c+eqZs2aatu2rR5++GE99NBDTu8Y8/Hx0bJly7Rv3z6FhobqL3/5i0aNGuX0rrJmzZpp3rx5+uCDD9SgQQN9/vnnWrhwoerWrXvnDgYAAACAIsdhWZZluoi7QVpamnx8fJSamsrzZMiTRTv2my4BN9CpTsht3wZ9oHC7E31Aoh8UZvQB3Kk+gLtHXrJBvq6QValSxel9YFlOnTqlKlWq5GeVAAAAAFDk5CuQ7d+/334X2NXS09P1+++/33JRAAAAAFAU5Ok9ZN98843930uXLpWPj4/9PSMjQ3FxcQoJCSmw4gAAAADgbpanQBYZGSlJcjgcioqKcppXvHhxhYSE6O233y6w4gAAAADgbpanQJaZmSlJqly5sjZv3qxy5crdlqIAAAAAoCjIUyDLsm/fvoKuAwAAAACKnHwFMkmKi4tTXFycjh49al85yzJr1qxbLgwAAAAA7nb5CmSvvfaaxo4dq8aNGyswMFAOh6Og6wIAAACAu16+AtnMmTM1Z84cPfXUUwVdDwAAAAAUGfl6D9nFixfVrFmzgq4FAAAAAIqUfAWyp59+WvPmzSvoWgAAAACgSMnXLYsXLlzQBx98oB9++EH169dX8eLFnea/8847BVIcAAAAANzN8hXItm3bpoYNG0qSkpKSnOYxwAcAAAAA5E6+AtmKFSsKug4AAAAAKHLy9QwZAAAAAODW5esKWevWrW94a+Ly5cvzXRAAAAAAFBX5CmRZz49luXTpkhITE5WUlKSoqKiCqAsAAAAA7nr5CmTvvvtujtPHjBmjM2fO3FJBAAAAAFBUFOgzZH/+8581a9asglwlAAAAANy1CjSQxcfHy8PDoyBXCQAAAAB3rXzdsvjYY485fbcsS4cPH9aPP/6oV199tUAKAwAAAIC7Xb4CmY+Pj9N3FxcX1ahRQ2PHjlX79u0LpDAAAAAAuNvlK5DNnj27oOsAAAAAgCInX4EsS0JCgnbu3ClJqlOnju67774CKQoAAAAAioJ8BbKjR4+qe/fuWrlypXx9fSVJp06dUuvWrfXpp5/Kz8+vIGsEAAAAgLtSvkZZHDhwoE6fPq0dO3boxIkTOnHihJKSkpSWlqYXX3yxoGsEAAAAgLtSvq6QLVmyRD/88INq1aplT6tdu7amTZvGoB4AAAAAkEv5ukKWmZmp4sWLZ5tevHhxZWZm3nJRAAAAAFAU5CuQtWnTRoMGDdKhQ4fsab///ruGDBmitm3bFlhxAAAAAHA3y1cgmzp1qtLS0hQSEqKqVauqatWqqly5stLS0jRlypSCrhEAAAAA7kr5eoYsODhYW7Zs0Q8//KBdu3ZJkmrVqqXw8PACLQ4AAAAA7mZ5ukK2fPly1a5dW2lpaXI4HGrXrp0GDhyogQMHqkmTJqpTp47WrFlzu2oFAAAAgLtKngLZpEmTNGDAAHl7e2eb5+Pjo2effVbvvPNOgRUHAAAAAHezPAWyrVu3qkOHDted3759eyUkJNxyUQAAAABQFOQpkB05ciTH4e6zFCtWTCkpKbdcFAAAAAAUBXkKZPfcc4+SkpKuO3/btm0KDAy85aIAAAAAoCjIUyB7+OGH9eqrr+rChQvZ5p0/f16jR4/WI488UmDFAQAAAMDdLE/D3o8cOVJffvmlqlevrpiYGNWoUUOStGvXLk2bNk0ZGRl65ZVXbkuhAAAAAHC3yVMg8/f31/r16/X8889rxIgRsixLkuRwOBQREaFp06bJ39//thQKAAAAAHebPL8YulKlSvr+++918uRJ/frrr7IsS/fee69Kly59O+oDAAAAgLtWngNZltKlS6tJkyYFWQsAAAAAFCl5GtQDAAAAAFBwCGQAAAAAYAiBDAAAAAAMIZABAAAAgCEEMgAAAAAwhEAGAAAAAIYQyAAAAADAEAIZAAAAABhCIAMAAAAAQwhkAAAAAGAIgQwAAAAADCGQAQAAAIAhBDIAAAAAMKSY6QIAAAAASIt27DddAq6jU52Q27ZurpABAAAAgCEEMgAAAAAwhEAGAAAAAIYQyAAAAADAEAIZAAAAABhCIAMAAAAAQwhkAAAAAGAIgQwAAAAADCGQAQAAAIAhBDIAAAAAMIRABgAAAACGEMgAAAAAwBACGQAAAAAYQiADAAAAAEMIZAAAAABgCIEMAAAAAAwhkAEAAACAIQQyAAAAADCEQAYAAAAAhhgNZKtXr1bnzp0VFBQkh8OhhQsXOs23LEujRo1SYGCgSpQoofDwcO3Zs8epzYkTJ9SrVy95e3vL19dX/fv315kzZ5zabNu2Tc2bN5eHh4eCg4M1YcKEbLUsWLBANWvWlIeHh+rVq6fvv/++wPcXAAAAAK5mNJCdPXtWDRo00LRp03KcP2HCBL333nuaOXOmNm7cqFKlSikiIkIXLlyw2/Tq1Us7duxQbGysvvvuO61evVrPPPOMPT8tLU3t27dXpUqVlJCQoIkTJ2rMmDH64IMP7Dbr169Xjx491L9/f/3000+KjIxUZGSkkpKSbt/OAwAAACjyipnceMeOHdWxY8cc51mWpUmTJmnkyJHq0qWLJOnjjz+Wv7+/Fi5cqO7du2vnzp1asmSJNm/erMaNG0uSpkyZoocfflhvvfWWgoKCNHfuXF28eFGzZs2Sm5ub6tSpo8TERL3zzjt2cJs8ebI6dOigYcOGSZLGjRun2NhYTZ06VTNnzrwDRwIAAABAUVRonyHbt2+fkpOTFR4ebk/z8fFR06ZNFR8fL0mKj4+Xr6+vHcYkKTw8XC4uLtq4caPdpkWLFnJzc7PbREREaPfu3Tp58qTd5urtZLXJ2k5O0tPTlZaW5vQBAAAAgLwotIEsOTlZkuTv7+803d/f356XnJys8uXLO80vVqyYypQp49Qmp3VcvY3rtcman5Px48fLx8fH/gQHB+d1FwEAAAAUcYU2kBV2I0aMUGpqqv05ePCg6ZIAAAAA/MEU2kAWEBAgSTpy5IjT9CNHjtjzAgICdPToUaf5ly9f1okTJ5za5LSOq7dxvTZZ83Pi7u4ub29vpw8AAAAA5EWhDWSVK1dWQECA4uLi7GlpaWnauHGjwsLCJElhYWE6deqUEhIS7DbLly9XZmammjZtardZvXq1Ll26ZLeJjY1VjRo1VLp0abvN1dvJapO1HQAAAAC4HYwGsjNnzigxMVGJiYmSrgzkkZiYqAMHDsjhcGjw4MH6+9//rm+++Ubbt29X7969FRQUpMjISElSrVq11KFDBw0YMECbNm3SunXrFBMTo+7duysoKEiS1LNnT7m5ual///7asWOH5s+fr8mTJ2vo0KF2HYMGDdKSJUv09ttva9euXRozZox+/PFHxcTE3OlDAgAAAKAIMTrs/Y8//qjWrVvb37NCUlRUlObMmaOXX35ZZ8+e1TPPPKNTp07poYce0pIlS+Th4WEvM3fuXMXExKht27ZycXFR165d9d5779nzfXx8tGzZMkVHRys0NFTlypXTqFGjnN5V1qxZM82bN08jR47U3/72N917771auHCh6tateweOAgAAAICiymFZlmW6iLtBWlqafHx8lJqayvNkyJNFO/abLgE30KlOyG3fBn2gcLsTfUCiHxRm9AHQB5DXPpCXbFBonyEDAAAAgLsdgQwAAAAADCGQAQAAAIAhBDIAAAAAMIRABgAAAACGEMgAAAAAwBACGQAAAAAYQiADAAAAAEMIZAAAAABgCIEMAAAAAAwhkAEAAACAIQQyAAAAADCEQAYAAAAAhhDIAAAAAMAQAhkAAAAAGEIgAwAAAABDCGQAAAAAYAiBDAAAAAAMIZABAAAAgCEEMgAAAAAwhEAGAAAAAIYQyAAAAADAEAIZAAAAABhCIAMAAAAAQwhkAAAAAGAIgQwAAAAADCGQAQAAAIAhBDIAAAAAMIRABgAAAACGEMgAAAAAwBACGQAAAAAYQiADAAAAAEMIZAAAAABgCIEMAAAAAAwhkAEAAACAIQQyAAAAADCEQAYAAAAAhhDIAAAAAMAQAhkAAAAAGEIgAwAAAABDCGQAAAAAYAiBDAAAAAAMIZABAAAAgCEEMgAAAAAwhEAGAAAAAIYQyAAAAADAEAIZAAAAABhCIAMAAAAAQwhkAAAAAGAIgQwAAAAADCGQAQAAAIAhBDIAAAAAMIRABgAAAACGEMgAAAAAwBACGQAAAAAYQiADAAAAAEMIZAAAAABgCIEMAAAAAAwhkAEAAACAIQQyAAAAADCEQAYAAAAAhhDIAAAAAMAQAhkAAAAAGEIgAwAAAABDCGQAAAAAYAiBDAAAAAAMIZABAAAAgCEEMgAAAAAwhEAGAAAAAIYQyAAAAADAEAIZAAAAABhCIAMAAAAAQwhkAAAAAGAIgQwAAAAADCGQAQAAAIAhhTqQjRkzRg6Hw+lTs2ZNe/6FCxcUHR2tsmXLytPTU127dtWRI0ec1nHgwAF16tRJJUuWVPny5TVs2DBdvnzZqc3KlSvVqFEjubu7q1q1apozZ86d2D0AAAAARVyhDmSSVKdOHR0+fNj+rF271p43ZMgQffvtt1qwYIFWrVqlQ4cO6bHHHrPnZ2RkqFOnTrp48aLWr1+vjz76SHPmzNGoUaPsNvv27VOnTp3UunVrJSYmavDgwXr66ae1dOnSO7qfAAAAAIqeYqYLuJlixYopICAg2/TU1FT961//0rx589SmTRtJ0uzZs1WrVi1t2LBBDzzwgJYtW6aff/5ZP/zwg/z9/dWwYUONGzdOw4cP15gxY+Tm5qaZM2eqcuXKevvttyVJtWrV0tq1a/Xuu+8qIiLiunWlp6crPT3d/p6WllbAew4AAADgblfor5Dt2bNHQUFBqlKlinr16qUDBw5IkhISEnTp0iWFh4fbbWvWrKmKFSsqPj5ekhQfH6969erJ39/fbhMREaG0tDTt2LHDbnP1OrLaZK3jesaPHy8fHx/7ExwcXCD7CwAAAKDoKNSBrGnTppozZ46WLFmiGTNmaN++fWrevLlOnz6t5ORkubm5ydfX12kZf39/JScnS5KSk5OdwljW/Kx5N2qTlpam8+fPX7e2ESNGKDU11f4cPHjwVncXAAAAQBFTqG9Z7Nixo/3f9evXV9OmTVWpUiV99tlnKlGihMHKJHd3d7m7uxutAQAAAMAfW6G+QnYtX19fVa9eXb/++qsCAgJ08eJFnTp1yqnNkSNH7GfOAgICso26mPX9Zm28vb2Nhz4AAAAAd7c/VCA7c+aM9u7dq8DAQIWGhqp48eKKi4uz5+/evVsHDhxQWFiYJCksLEzbt2/X0aNH7TaxsbHy9vZW7dq17TZXryOrTdY6AAAAAOB2KdSB7KWXXtKqVau0f/9+rV+/Xo8++qhcXV3Vo0cP+fj4qH///ho6dKhWrFihhIQE9e3bV2FhYXrggQckSe3bt1ft2rX11FNPaevWrVq6dKlGjhyp6Oho+3bD5557Tv/973/18ssva9euXZo+fbo+++wzDRkyxOSuAwAAACgCCvUzZP/73//Uo0cPHT9+XH5+fnrooYe0YcMG+fn5SZLeffddubi4qGvXrkpPT1dERISmT59uL+/q6qrvvvtOzz//vMLCwlSqVClFRUVp7NixdpvKlStr0aJFGjJkiCZPnqwKFSroww8/vOGQ9wAAAABQEAp1IPv0009vON/Dw0PTpk3TtGnTrtumUqVK+v7772+4nlatWumnn37KV40AAAAAkF+F+pZFAAAAALibEcgAAAAAwBACGQAAAAAYQiADAAAAAEMIZAAAAABgCIEMAAAAAAwhkAEAAACAIQQyAAAAADCEQAYAAAAAhhDIAAAAAMAQAhkAAAAAGEIgAwAAAABDCGQAAAAAYAiBDAAAAAAMIZABAAAAgCEEMgAAAAAwhEAGAAAAAIYQyAAAAADAEAIZAAAAABhCIAMAAAAAQwhkAAAAAGAIgQwAAAAADCGQAQAAAIAhBDIAAAAAMIRABgAAAACGFDNdQFG3aMd+0yXgOjrVCTFdAgAAAO5yXCEDAAAAAEMIZAAAAABgCIEMAAAAAAwhkAEAAACAIQQyAAAAADCEQAYAAAAAhhDIAAAAAMAQAhkAAAAAGEIgAwAAAABDCGQAAAAAYAiBDAAAAAAMIZABAAAAgCEEMgAAAAAwhEAGAAAAAIYQyAAAAADAEAIZAAAAABhCIAMAAAAAQwhkAAAAAGAIgQwAAAAADCGQAQAAAIAhBDIAAAAAMIRABgAAAACGEMgAAAAAwBACGQAAAAAYQiADAAAAAEMIZAAAAABgCIEMAAAAAAwhkAEAAACAIQQyAAAAADCEQAYAAAAAhhDIAAAAAMAQAhkAAAAAGEIgAwAAAABDCGQAAAAAYAiBDAAAAAAMIZABAAAAgCEEMgAAAAAwhEAGAAAAAIYQyAAAAADAEAIZAAAAABhCIAMAAAAAQwhkAAAAAGAIgQwAAAAADCGQAQAAAIAhBDIAAAAAMIRABgAAAACGEMgAAAAAwBACGQAAAAAYQiC7xrRp0xQSEiIPDw81bdpUmzZtMl0SAAAAgLsUgewq8+fP19ChQzV69Ght2bJFDRo0UEREhI4ePWq6NAAAAAB3IQLZVd555x0NGDBAffv2Ve3atTVz5kyVLFlSs2bNMl0aAAAAgLtQMdMFFBYXL15UQkKCRowYYU9zcXFReHi44uPjs7VPT09Xenq6/T01NVWSlJaWlqftnjtzOp8V43bL67nML/pA4XYn+gF9oHDj3wLQB0AfQF77QFZ7y7Ju2pZA9v8dO3ZMGRkZ8vf3d5ru7++vXbt2ZWs/fvx4vfbaa9mmBwcH37YaAQAAAPxxnD59Wj4+PjdsQyDLpxEjRmjo0KH298zMTJ04cUJly5aVw+EwWJk5aWlpCg4O1sGDB+Xt7W26HBhAHwB9APQB0Acg0Q8sy9Lp06cVFBR007YEsv+vXLlycnV11ZEjR5ymHzlyRAEBAdnau7u7y93d3Wmar6/v7SzxD8Pb27tI/uDh/9AHQB8AfQD0AUhFux/c7MpYFgb1+P/c3NwUGhqquLg4e1pmZqbi4uIUFhZmsDIAAAAAdyuukF1l6NChioqKUuPGjXX//fdr0qRJOnv2rPr27Wu6NAAAAAB3IQLZVbp166aUlBSNGjVKycnJatiwoZYsWZJtoA/kzN3dXaNHj852KyeKDvoA6AOgD4A+AIl+kBcOKzdjMQIAAAAAChzPkAEAAACAIQQyAAAAADCEQAYAAAAAhhDIAAAAAMAQAhkKxLRp0xQSEiIPDw81bdpUmzZtMl0S7qDVq1erc+fOCgoKksPh0MKFC02XhDts/PjxatKkiby8vFS+fHlFRkZq9+7dpsvCHTRjxgzVr1/ffglsWFiYFi9ebLosGPTGG2/I4XBo8ODBpkvBHTJmzBg5HA6nT82aNU2XVegRyHDL5s+fr6FDh2r06NHasmWLGjRooIiICB09etR0abhDzp49qwYNGmjatGmmS4Ehq1atUnR0tDZs2KDY2FhdunRJ7du319mzZ02XhjukQoUKeuONN5SQkKAff/xRbdq0UZcuXbRjxw7TpcGAzZs36/3331f9+vVNl4I7rE6dOjp8+LD9Wbt2remSCj2Gvccta9q0qZo0aaKpU6dKkjIzMxUcHKyBAwfqr3/9q+HqcKc5HA599dVXioyMNF0KDEpJSVH58uW1atUqtWjRwnQ5MKRMmTKaOHGi+vfvb7oU3EFnzpxRo0aNNH36dP39739Xw4YNNWnSJNNl4Q4YM2aMFi5cqMTERNOl/KFwhQy35OLFi0pISFB4eLg9zcXFReHh4YqPjzdYGQCTUlNTJV35hRxFT0ZGhj799FOdPXtWYWFhpsvBHRYdHa1OnTo5/W6AomPPnj0KCgpSlSpV1KtXLx04cMB0SYVeMdMF4I/t2LFjysjIkL+/v9N0f39/7dq1y1BVAEzKzMzU4MGD9eCDD6pu3bqmy8EdtH37doWFhenChQvy9PTUV199pdq1a5suC3fQp59+qi1btmjz5s2mS4EBTZs21Zw5c1SjRg0dPnxYr732mpo3b66kpCR5eXmZLq/QIpABAApUdHS0kpKSeG6gCKpRo4YSExOVmpqqzz//XFFRUVq1ahWhrIg4ePCgBg0apNjYWHl4eJguBwZ07NjR/u/69euradOmqlSpkj777DNuXb4BAhluSbly5eTq6qojR444TT9y5IgCAgIMVQXAlJiYGH333XdavXq1KlSoYLoc3GFubm6qVq2aJCk0NFSbN2/W5MmT9f777xuuDHdCQkKCjh49qkaNGtnTMjIytHr1ak2dOlXp6elydXU1WCHuNF9fX1WvXl2//vqr6VIKNZ4hwy1xc3NTaGio4uLi7GmZmZmKi4vjuQGgCLEsSzExMfrqq6+0fPlyVa5c2XRJKAQyMzOVnp5uugzcIW3bttX27duVmJhofxo3bqxevXopMTGRMFYEnTlzRnv37lVgYKDpUgo1rpDhlg0dOlRRUVFq3Lix7r//fk2aNElnz55V3759TZeGO+TMmTNOf/3at2+fEhMTVaZMGVWsWNFgZbhToqOjNW/ePH399dfy8vJScnKyJMnHx0clSpQwXB3uhBEjRqhjx46qWLGiTp8+rXnz5mnlypVaunSp6dJwh3h5eWV7brRUqVIqW7Ysz5MWES+99JI6d+6sSpUq6dChQxo9erRcXV3Vo0cP06UVagQy3LJu3bopJSVFo0aNUnJysho2bKglS5ZkG+gDd68ff/xRrVu3tr8PHTpUkhQVFaU5c+YYqgp30owZMyRJrVq1cpo+e/Zs9enT584XhDvu6NGj6t27tw4fPiwfHx/Vr19fS5cuVbt27UyXBuAO+d///qcePXro+PHj8vPz00MPPaQNGzbIz8/PdGmFGu8hAwAAAABDeIYMAAAAAAwhkAEAAACAIQQyAAAAADCEQAYAAAAAhhDIAAAAAMAQAhkAAAAAGEIgAwAAAABDCGQAAAAAYAiBDADuYitXrpTD4dCpU6dMl1Lo/Otf/1L79u1vaR3nzp1T165d5e3tbR/nkJAQTZo0yW7jcDi0cOHCXK/T1DnLabsLFy5UtWrV5OrqqsGDB2vOnDny9fW9o3XlxpgxY9SwYcMCW9/MmTPVuXPnAlsfANwIgQwADOvTp48cDoccDoeKFy+uypUr6+WXX9aFCxfytJ5WrVpp8ODBTtOaNWumw4cPy8fHpwArztk///lPNWjQQJ6envL19dV9992n8ePH3/bt5seFCxf06quvavTo0fa0/PxS/9FHH2nNmjVav379dY/z4cOH1bFjx1st2UlBBxAp577y7LPP6vHHH9fBgwc1btw4devWTb/88kuBbrcgvPTSS4qLiyuw9fXr109btmzRmjVrCmydAHA9xUwXAACQOnTooNmzZ+vSpUtKSEhQVFSUHA6H3nzzzVtar5ubmwICAgqoyuubNWuWBg8erPfee08tW7ZUenq6tm3bpqSkpNu2zYsXL8rNzS1fy37++efy9vbWgw8+eEs17N27V7Vq1VLdunWv2+ZOHP+CcG1fOXPmjI4ePaqIiAgFBQXZ00uUKHHHasrtOfb09JSnp2eBbdfNzU09e/bUe++9p+bNmxfYegEgJ1whA4BCwN3dXQEBAQoODlZkZKTCw8MVGxtrzz9+/Lh69Oihe+65RyVLllS9evX0n//8x57fp08frVq1SpMnT7avtu3fvz/bbWhZt5wtXbpUtWrVkqenpzp06KDDhw/b67p8+bJefPFF+fr6qmzZsho+fLiioqIUGRl53fq/+eYbPfnkk+rfv7+qVaumOnXqqEePHnr99ded2s2aNUt16tSRu7u7AgMDFRMTY887cOCAunTpIk9PT3l7e+vJJ5/UkSNH7PlZV4U+/PBDVa5cWR4eHpKkU6dO6emnn5afn5+8vb3Vpk0bbd269YbH+9NPP73pLWl9+vRRZGSk3nrrLQUGBqps2bKKjo7WpUuXJF25Ivn2229r9erVcjgcatWqVY7rufaWxfXr16thw4by8PBQ48aNtXDhQjkcDiUmJjotl5CQoMaNG6tkyZJq1qyZdu/eLenKOXzttde0detW+1zPmTMn23aTkpLk4uKilJQUSdKJEyfk4uKi7t27223+/ve/66GHHpLkfMviypUr5eXlJUlq06aNHA6HVq5cedNbFi9evKiYmBgFBgbKw8NDlSpVcrpKerNzldM5/uCDDxQUFKTMzEynbXXp0kX9+vVzWu5qN+pruekznTt31jfffKPz589fd38BoCAQyACgkElKStL69eudrgxcuHBBoaGhWrRokZKSkvTMM8/oqaee0qZNmyRJkydPVlhYmAYMGKDDhw/r8OHDCg4OznH9586d01tvvaVPPvlEq1ev1oEDB/TSSy/Z8998803NnTtXs2fP1rp165SWlnbTZ6ACAgK0YcMG/fbbb9dtM2PGDEVHR+uZZ57R9u3b9c0336hatWqSpMzMTHXp0kUnTpzQqlWrFBsbq//+97/q1q2b0zp+/fVXffHFF/ryyy/tAPPEE0/o6NGjWrx4sRISEtSoUSO1bdtWJ06cuG4ta9euVePGjW+4T5K0YsUK7d27VytWrNBHH32kOXPm2OHnyy+/1IABAxQWFqbDhw/ryy+/vOn60tLS1LlzZ9WrV09btmzRuHHjNHz48BzbvvLKK3r77bf1448/qlixYnb46Natm/7yl7+oTp069rm+9jhJUp06dVS2bFmtWrVKkrRmzRqn75K0atWqHIPk1QHwiy++0OHDh9WsWbOb7t97772nb775Rp999pl2796tuXPnKiQkxJ6fm3N17Tl+4okndPz4ca1YscJuc+LECS1ZskS9evXKsY4b9bXc1tG4cWNdvnxZGzduvOl+A8AtsQAARkVFRVmurq5WqVKlLHd3d0uS5eLiYn3++ec3XK5Tp07WX/7yF/t7y5YtrUGDBjm1WbFihSXJOnnypGVZljV79mxLkvXrr7/abaZNm2b5+/vb3/39/a2JEyfa3y9fvmxVrFjR6tKly3VrOXTokPXAAw9Ykqzq1atbUVFR1vz5862MjAy7TVBQkPXKK6/kuPyyZcssV1dX68CBA/a0HTt2WJKsTZs2WZZlWaNHj7aKFy9uHT161G6zZs0ay9vb27pw4YLT+qpWrWq9//77OW7r5MmTliRr9erVTtNHjx5tNWjQwP4eFRVlVapUybp8+bI97YknnrC6detmfx80aJDVsmVLp/VUqlTJevfdd+3vkqyvvvrKsizLmjFjhlW2bFnr/Pnz9vx//vOfliTrp59+sizr/87ZDz/8YLdZtGiRJcle7tpar+exxx6zoqOjLcuyrMGDB1vDhg2zSpcube3cudO6ePGiVbJkSWvZsmVO283qK1nHacWKFfb6Zs+ebfn4+Fx3ewMHDrTatGljZWZmZpuXm3OV0zm2LMvq0qWL1a9fP/v7+++/bwUFBdn969rjcaO+lpc+U7p0aWvOnDnX3V8AKAhcIQOAQqB169ZKTEzUxo0bFRUVpb59+6pr1672/IyMDI0bN0716tVTmTJl5OnpqaVLl+rAgQN53lbJkiVVtWpV+3tgYKCOHj0qSUpNTdWRI0d0//332/NdXV0VGhp6w3UGBgYqPj5e27dv16BBg3T58mVFRUWpQ4cOyszM1NGjR3Xo0CG1bds2x+V37typ4OBgp6t6tWvXlq+vr3bu3GlPq1Spkvz8/OzvW7du1ZkzZ1S2bFn7OSJPT0/t27dPe/fuzXFbWbegZd3yeCN16tSRq6ur035mHav82L17t+rXr++07auP9dXq16/vtF1Jed52y5YttXLlSklXroa1adNGLVq00MqVK7V582ZdunTplp+ju1qfPn2UmJioGjVq6MUXX9SyZcvsebk9V9eeY0nq1auXvvjiC6Wnp0uS5s6dq+7du8vFJfuvMTfra3npMyVKlNC5c+fyfTwAIDcY1AMACoFSpUrZt1TNmjVLDRo00L/+9S/1799fkjRx4kRNnjxZkyZNUr169VSqVCkNHjxYFy9ezPO2ihcv7vTd4XDIsqxb3wlJdevWVd26dfXCCy/oueeeU/PmzbVq1apc3R6YG6VKlXL6fubMGQUGBtqh42rXe9apbNmycjgcOnny5E23l9OxuvZZptvl6m07HA5JyvO2s0be3LNnj37++Wc99NBD2rVrl1auXKmTJ0/az6gVlEaNGmnfvn1avHixfvjhBz355JMKDw/X559/nutzde05lq48z2VZlhYtWqQmTZpozZo1evfdd3Os4WaDjuSlz5w4cSJbOASAgkYgA4BCxsXFRX/72980dOhQ9ezZUyVKlNC6devUpUsX/fnPf5Z05RfzX375RbVr17aXc3NzU0ZGxi1t28fHR/7+/tq8ebNatGgh6crVuS1btuR5mPWs2s6ePSsvLy+FhIQoLi5OrVu3zta2Vq1aOnjwoA4ePGhfJfv555916tQpp328VqNGjZScnKxixYo5Pat0I25ubqpdu7Z+/vnnW34PWV7VqFFD//73v5Weni53d3dJ0ubNm/O8ntye63r16ql06dL6+9//roYNG8rT01OtWrXSm2++qZMnT153IJJb4e3trW7duqlbt256/PHH1aFDB504cSJf5yqLh4eHHnvsMc2dO1e//vqratSooUaNGuXY9mZ9Lbd17N27VxcuXNB9992Xp1oBIK+4ZREACqEnnnhCrq6umjZtmiTp3nvvVWxsrNavX6+dO3fq2WefdRqBUJJCQkK0ceNG7d+/X8eOHcv3lZyBAwdq/Pjx+vrrr7V7924NGjRIJ0+etK/S5OT555/XuHHjtG7dOv3222/asGGDevfuLT8/P4WFhUm6MhLe22+/rffee0979uzRli1bNGXKFElSeHi46tWrp169emnLli3atGmTevfurZYtW97w6lp4eLjCwsIUGRmpZcuWaf/+/Vq/fr1eeeUV/fjjj9ddLiIiQmvXrs3X8bkVPXv2VGZmpp555hnt3LlTS5cu1VtvvSVJNzy+1woJCdG+ffuUmJioY8eO2bfyXcvhcKhFixaaO3euHb7q16+v9PR0xcXFqWXLlre8T1d755139J///Ee7du3SL7/8ogULFiggIEC+vr75PldZevXqpUWLFmnWrFnXHcwjy836Wm7qWLNmjapUqeJ0ey8A3A4EMgAohIoVK6aYmBhNmDBBZ8+e1ciRI9WoUSNFRESoVatWCggIyDYM/UsvvSRXV1fVrl1bfn5++Xq+TJKGDx+uHj16qHfv3goLC5Onp6ciIiJu+MxVeHi4NmzYoCeeeELVq1dX165d5eHhobi4OJUtW1aSFBUVpUmTJmn69OmqU6eOHnnkEe3Zs0fSleDw9ddfq3Tp0mrRooXCw8NVpUoVzZ8//4a1OhwOff/992rRooX69u2r6tWrq3v37vrtt9/k7+9/3eX69++v77//Xqmpqfk4Qvnn7e2tb7/9VomJiWrYsKFeeeUVjRo1SlLunmnL0rVrV3Xo0EGtW7eWn5+f0ysQrtWyZUtlZGTYgczFxUUtWrSQw+Eo0OfHpCtXpyZMmKDGjRurSZMm2r9/v77//nu5uLjk+1xladOmjcqUKaPdu3erZ8+eN2x7s76Wmzr+85//aMCAAbd2QAAgFxxWQT04AAC4K2VmZqpWrVp68sknNW7cONPlFJgnnnhCjRo10ogRI4zWMXfuXPXt21epqal39KXLuL4dO3aoTZs2+uWXX+Tj42O6HAB3OZ4hAwA4+e2337Rs2TK1bNlS6enpmjp1qvbt23fTqxJ/NBMnTtS33357x7f78ccfq0qVKrrnnnu0detWDR8+XE8++SRhrBA5fPiwPv74Y8IYgDuCK2QAACcHDx5U9+7dlZSUJMuyVLduXb3xxhv2IB+4NRMmTND06dOVnJyswMBARUZG6vXXXy/Q0Q4BAH8cBDIAAAAAMIRBPQAAAADAEAIZAAAAABhCIAMAAAAAQwhkAAAAAGAIgQwAAAAADCGQAQAAAIAhBDIAAAAAMIRABgAAAACG/D+IQP10cydNeAAAAABJRU5ErkJggg==\n" }, "metadata": {} } ] }, { "cell_type": "markdown", "source": [ "The plot shows that while most ratings are concentrated between 4 and 5, it visually confirms the presence of '0' values across various service categories." ], "metadata": { "id": "y932Tc18RHBU" } }, { "cell_type": "markdown", "source": [ "-------------------------------" ], "metadata": { "id": "vwFIXAZiRJTR" } }, { "cell_type": "markdown", "source": [ "What is the correlation between departure and arrival delays, and how do extreme outliers reflect unusual flight patterns?" ], "metadata": { "id": "PsjCmdTyFfQp" } }, { "cell_type": "code", "source": [ "import seaborn as sns\n", "import matplotlib.pyplot as plt\n", "\n", "#Set the figure size\n", "plt.figure(figsize=(10, 6))\n", "\n", "#Create a scatter plot to analyze the relationship between the two delay variables\n", "sns.scatterplot(x=df['Departure Delay in Minutes'],\n", " y=df['Arrival Delay in Minutes'],\n", " color='lightblue',\n", " alpha=0.5)\n", "\n", "#descriptive titles and labels\n", "plt.title('Correlation between Departure and Arrival Delays (Raw Data)')\n", "plt.xlabel('Departure Delay in Minutes')\n", "plt.ylabel('Arrival Delay in Minutes')\n", "\n", "#Display the plot\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 564 }, "id": "H1KIj94oFc6g", "outputId": "5ce8bcba-9a1f-4da8-cdf9-98c4fc91aa9c" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" }, "metadata": {} } ] }, { "cell_type": "markdown", "source": [ "This scatter plot shows a strong positive correlation between departure and arrival delays, while highlighting how extreme outliers deviate from the main cluster." ], "metadata": { "id": "SIkON93MSfGL" } }, { "cell_type": "markdown", "source": [ "-------------------------------" ], "metadata": { "id": "sOuZreDvTGi1" } }, { "cell_type": "markdown", "source": [ "in the code bellow we filtered out records with '0' values in the rating columns because they fall outside the defined 1-5 scale.\n", "Removing these anomalies ensures data integrity and prevents invalid entries from biasing our satisfaction analysis." ], "metadata": { "id": "kaDUAm3-TQWQ" } }, { "cell_type": "code", "source": [ "#List of service rating columns to clean (removed the missing column)\n", "ordinal_cols = [\n", " 'Inflight wifi service', 'Ease of Online booking',\n", " 'Food and drink', 'Seat comfort', 'Cleanliness'\n", "]\n", "\n", "#Filtering the dataset to keep only rows where ratings are within the valid 1-5 scale\n", "for col in ordinal_cols:\n", " df = df[df[col] > 0]\n", "\n", "#Verify the cleaning result\n", "print(f\"Dataset size after removing rating anomalies: {df.shape[0]}\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "OJMu6tAfZTMq", "outputId": "85e94a57-91c6-4582-8cae-0967bf854b80" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Dataset size after removing rating anomalies: 98905\n" ] } ] }, { "cell_type": "markdown", "source": [ "-------------------------------" ], "metadata": { "id": "Lz_IKaXjUrZn" } }, { "cell_type": "markdown", "source": [ "We limited the extreme values in flight delays and distance to prevent a few unusual cases from distorting our overall analysis.\n", "This cleaning step ensures our model focuses on the most common flight patterns while keeping the dataset stable and reliable." ], "metadata": { "id": "MophxbamUI_l" } }, { "cell_type": "code", "source": [ "#Defining the columns that showed extreme outliers\n", "outlier_cols = ['Departure Delay in Minutes', 'Arrival Delay in Minutes', 'Flight Distance']\n", "\n", "#Limiting values to the 99th percentile\n", "for col in outlier_cols:\n", " upper_limit = df[col].quantile(0.99)\n", " df[col] = df[col].clip(upper=upper_limit)\n", "\n", "#Verification of the new maximum values\n", "print(\"New maximum values after capping:\")\n", "print(df[outlier_cols].max())" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "sVgclrHbUHpb", "outputId": "a0c5a92c-98f7-40fc-d81f-ecb2b76062c6" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "New maximum values after capping:\n", "Departure Delay in Minutes 181.00\n", "Arrival Delay in Minutes 184.00\n", "Flight Distance 3881.96\n", "dtype: float64\n" ] } ] }, { "cell_type": "markdown", "source": [ "-------------------------------\n" ], "metadata": { "id": "djRksx1oZaIR" } }, { "cell_type": "markdown", "source": [ "What is the correlation between departure and arrival delays, and how do cleaning the extreme outliers reflect the flight patterns?" ], "metadata": { "id": "Q0E4SJb67dWr" } }, { "cell_type": "code", "source": [ "plt.figure(figsize=(10, 6))\n", "\n", "#show the stable relationship between variables\n", "sns.scatterplot(x=df['Departure Delay in Minutes'],\n", " y=df['Arrival Delay in Minutes'],\n", " color='teal',\n", " alpha=0.4)\n", "\n", "#clear titles and labels\n", "plt.title('Correlation between Departure and Arrival Delays (After Cleaning)')\n", "plt.xlabel('Departure Delay in Minutes (Capped)')\n", "plt.ylabel('Arrival Delay in Minutes (Capped)')\n", "\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 564 }, "id": "G6EfEeIEVV-x", "outputId": "0ed1085f-87ec-479e-cfd4-5bcedba3493c" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
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\n" }, "metadata": {} } ] }, { "cell_type": "markdown", "source": [ "After cleaning the data, the scatter plot now displays a much clearer and more reliable linear relationship between the two types of delays.\n", "Removing the extreme anomalies allows us to visualize the core data patterns that will be used for our predictive modeling." ], "metadata": { "id": "LmH04DOwVl1G" } }, { "cell_type": "markdown", "source": [ "


\n", "\n", "---\n", "\n", "


" ], "metadata": { "id": "zrIvgbNoIPU6" } }, { "cell_type": "markdown", "source": [ "# **Part 3: Define and Train a baseline model**\n", "\n", "1. **Regression Goal**: Clearly state the problem you’re addressing.\n", "\n", "2. **Feature Selection**: Identify the features that seem most relevant. It’s fine to start with all features if you’re unsure.\n", "\n", "3. **Train-Test Split**: Partition your data into training, and testing sets. Use simple sampling. Quick reminder - when using ramdom - Use `Seed`!\n", "\n", "4. **Model Training**: For simplicity, start with default parameters on a `Linear Regression` model, using scikit-learn. Focus on establishing a baseline.\n", "\n", "5. **Model Evaluation**: Present straightforward metrics such as MAE, MSE, RMSE, R2, etc.\n", "\n", "6. **Insights**: Summarize the model’s performance with visuals.\n", "\n", "7. **Feature Importance:** Explain & Visualize `feature importance` by looking on the `coefficients` of the Linear Regression model .\n", "\n", "
\n", "\n", "*FYI: Sections 5 and 6 will be repeated throughout your work.*" ], "metadata": { "id": "TxKHPqppIPZT" } }, { "cell_type": "markdown", "source": [ "\n", "\n", "---\n", "\n" ], "metadata": { "id": "kVI9wf1NCTDV" } }, { "cell_type": "markdown", "source": [ " ***Regression Goal***\n", "\n", "**Problem Statement:** The primary problem we are addressing is predicting the exact duration of a flight's arrival delay. By building a regression model targeting 'Arrival Delay in Minutes', we aim to understand and quantify how various flight characteristics (such as departure delays and flight distance) contribute to late arrivals. This will serve as our numerical baseline before moving to classification tasks." ], "metadata": { "id": "9aNOxTJSdGVT" } }, { "cell_type": "markdown", "source": [ "-------------------------------" ], "metadata": { "id": "_IK5VXIQhSI-" } }, { "cell_type": "markdown", "source": [ "I am setting the Arrival Delay as the target variable for the regression model.\n", "This tells the code which specific value we want to predict in our analysis." ], "metadata": { "id": "1VzraY4UhSlQ" } }, { "cell_type": "code", "source": [ "#defining the target variable for the regression task\n", "target_col = 'Arrival Delay in Minutes'\n", "\n", "print(f\"Target variable set to: {target_col}\")" ], "metadata": { "id": "uLxQ5tJQK6xG", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "ceffa15e-da75-448b-f613-d99c8e8aa536" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Target variable set to: Arrival Delay in Minutes\n" ] } ] }, { "cell_type": "markdown", "source": [ "-------------------------------" ], "metadata": { "id": "zVHsT-Ychbwq" } }, { "cell_type": "markdown", "source": [ "I am choosing the specific features to help predict the arrival delay, and removing missing values to be sure that there are not any missing values even though i \"cleaned the data in the EDA process\".\n", "This ensures that the data is clean and ready for the model to process correctly." ], "metadata": { "id": "SOfYMbOFhbfL" } }, { "cell_type": "code", "source": [ "#Step 2:\n", "#Features (X): Numerical columns used to predict\n", "features_list = [\n", " 'Age',\n", " 'Flight Distance',\n", " 'Inflight wifi service',\n", " 'Ease of Online booking',\n", " 'Food and drink',\n", " 'Seat comfort',\n", " 'Cleanliness',\n", " 'Departure Delay in Minutes'\n", "]\n", "\n", "#Target (y): What we want to predict\n", "target_name = 'Arrival Delay in Minutes'\n", "\n", "#Create dataframe with both, then drop missing values\n", "df_baseline = df[features_list + [target_name]].dropna()\n", "\n", "#Assign X and y\n", "X = df_baseline[features_list]\n", "y = df_baseline[target_name]\n", "\n", "print(f\"Features (X) selected: {features_list}\")\n", "print(f\"Target (y) selected: {target_name}\")\n", "print(f\"Total clean rows: {len(df_baseline)}\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "0HoyK8HRgNIV", "outputId": "190cbc74-849d-4f61-d846-86767c621875" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Features (X) selected: ['Age', 'Flight Distance', 'Inflight wifi service', 'Ease of Online booking', 'Food and drink', 'Seat comfort', 'Cleanliness', 'Departure Delay in Minutes']\n", "Target (y) selected: Arrival Delay in Minutes\n", "Total clean rows: 98905\n" ] } ] }, { "cell_type": "markdown", "source": [ "-------------------------------" ], "metadata": { "id": "0GnQN63RK61Q" } }, { "cell_type": "markdown", "source": [ "I am splitting the data into a training set and a testing set to evaluate the model.\n", "This allows me to train the model on 80% of the data and test its performance on the remaining 20%." ], "metadata": { "id": "dVilIIJGi75W" } }, { "cell_type": "code", "source": [ "from sklearn.model_selection import train_test_split\n", "\n", "#Step 3\n", "#Using Seed (random_state=42) for consistency\n", "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n", "\n", "print(f\"Training set: {X_train.shape[0]} rows\")\n", "print(f\"Testing set: {X_test.shape[0]} rows\")" ], "metadata": { "id": "euWXtGKHK65d", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "069d14ed-9c46-404f-eb0d-a05e7c1ff2e8" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Training set: 79124 rows\n", "Testing set: 19781 rows\n" ] } ] }, { "cell_type": "markdown", "source": [ "-------------------------------" ], "metadata": { "id": "tGBVlPfDjeVe" } }, { "cell_type": "markdown", "source": [ "I am initializing the Linear Regression model and training it using the training data.\n", "This step allows the model to learn the mathematical relationship between the features and the arrival delay." ], "metadata": { "id": "7j9hDo78jeM1" } }, { "cell_type": "code", "source": [ "from sklearn.linear_model import LinearRegression\n", "\n", "#Step 4\n", "#Initialize the Linear Regression model with default parameters\n", "baseline_model = LinearRegression()\n", "\n", "#Train the model using the training data (X_train and y_train)\n", "#This is where the model learns the relationship between features and delays\n", "baseline_model.fit(X_train, y_train)\n", "\n", "print(\"Baseline model training finished successfully.\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "yXDsKK9Qk15w", "outputId": "1bf8b28e-69f6-4c08-c3d5-79012165144b" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Baseline model training finished successfully.\n" ] } ] }, { "cell_type": "markdown", "source": [ "-------------------------------" ], "metadata": { "id": "3R5J8rIojtmJ" } }, { "cell_type": "markdown", "source": [ "I am using the model to make predictions on the test data and calculating evaluation metrics.\n", "These scores, like MAE and R-squared, help me understand how accurate the model is at predicting delays." ], "metadata": { "id": "uRl7VJGnjv5J" } }, { "cell_type": "code", "source": [ "from sklearn.metrics import mean_absolute_error, mean_squared_error, r2_score\n", "import numpy as np\n", "\n", "#Step 5\n", "#Use the model to predict values for the test set\n", "y_pred = baseline_model.predict(X_test)\n", "\n", "#Calculate evaluation metrics\n", "mae = mean_absolute_error(y_test, y_pred)#average of absolute errors\n", "mse = mean_squared_error(y_test, y_pred)#avarge of squared errors\n", "rmse = np.sqrt(mse)#root of the mean squared error (in the same units as the target variable)\n", "r2 = r2_score(y_test, y_pred)#R- squared metrics (how much the model explains the variance)\n", "\n", "#Print the performance results\n", "print(f\"Mean Absolute Error (MAE): {mae:.2f}\")\n", "print(f\"Mean Squared Error (MSE): {mse:.2f}\")\n", "print(f\"Root Mean Squared Error (RMSE): {rmse:.2f}\")\n", "print(f\"R-squared (R2 Score): {r2:.2f}\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "HUTsxMEnlU_x", "outputId": "cc9bd41c-89de-41af-9b51-28c2cc24a671" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Mean Absolute Error (MAE): 5.24\n", "Mean Squared Error (MSE): 94.92\n", "Root Mean Squared Error (RMSE): 9.74\n", "R-squared (R2 Score): 0.90\n" ] } ] }, { "cell_type": "markdown", "source": [ "-------------------------------" ], "metadata": { "id": "_XBe_Z7pkDWv" } }, { "cell_type": "markdown", "source": [ "I am creating a scatter plot to compare the actual arrival delays with the model's predictions.\n", "The red line represents a prediction, showing how much the model deviates from the truth." ], "metadata": { "id": "aF41l7W2kCHz" } }, { "cell_type": "code", "source": [ "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "\n", "#Step 6\n", "#Create a scatter plot\n", "plt.figure(figsize=(10, 6))\n", "sns.scatterplot(x=y_test, y=y_pred, alpha=0.5)\n", "\n", "#Add diagonal line\n", "plt.plot([y_test.min(), y_test.max()], [y_test.min(), y_test.max()], color='red', lw=2)\n", "\n", "plt.title('Baseline Model: Actual vs Predicted Arrival Delays')\n", "plt.xlabel('Actual Delay (Minutes)')\n", "plt.ylabel('Predicted Delay (Minutes)')\n", "plt.grid(True)\n", "plt.show()\n", "\n", "\n", "#print statements\n", "print(f\"The model explains {r2:.2%} of the variance in arrival delays.\")\n", "print(f\"On average, predictions are off by {mae:.2f} minutes.\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 598 }, "id": "fPFeXacklxcI", "outputId": "baec3217-9794-4ef6-f4b7-cce249073e53" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
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\n" }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ "The model explains 90.27% of the variance in arrival delays.\n", "On average, predictions are off by 5.24 minutes.\n" ] } ] }, { "cell_type": "markdown", "source": [ "The model is very accurate, explaining 90.27% of the delays with an average error of only 5.24 minutes.\n", "The scatter plot shows most points are close to the red line, proving a strong connection between predictions and reality." ], "metadata": { "id": "jqoOjX3QlQcV" } }, { "cell_type": "markdown", "source": [ "-------------------------------" ], "metadata": { "id": "_qg76ICplRzQ" } }, { "cell_type": "markdown", "source": [ "-------------------------------" ], "metadata": { "id": "n7J8UYNWkhSC" } }, { "cell_type": "markdown", "source": [ "I am extracting the model's coefficients to see which features have the biggest impact on arrival delays.\n", "This visualization helps me identify which factors are the strongest predictors in the baseline model." ], "metadata": { "id": "rRwdai2kkhOO" } }, { "cell_type": "code", "source": [ "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "\n", "#Step 7\n", "#Get the coefficients from the baseline model\n", "coefficients = pd.DataFrame({\n", " 'Feature': features_list,\n", " 'Coefficient': baseline_model.coef_\n", "})\n", "\n", "#Sort features by importance\n", "coefficients['Abs_Importance'] = coefficients['Coefficient'].abs()\n", "coefficients = coefficients.sort_values(by='Abs_Importance', ascending=False)\n", "\n", "#Visualizetion\n", "plt.figure(figsize=(10, 6))\n", "sns.barplot(\n", " x='Coefficient',\n", " y='Feature',\n", " data=coefficients,\n", " palette='viridis',\n", " hue='Feature',\n", " legend=False\n", ")\n", "\n", "plt.title('Feature Importance (Linear Regression Coefficients)')\n", "plt.xlabel('Coefficient Value')\n", "plt.ylabel('Features')\n", "plt.grid(axis='x')\n", "plt.show()\n", "\n", "#Print text summary\n", "print(\"Top features impacting Arrival Delay:\")\n", "print(coefficients[['Feature', 'Coefficient']])" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 734 }, "id": "Y7HzqSw-slCU", "outputId": "1cb3e318-9b52-4e45-b3de-6709106936a4" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
" ], "image/png": 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\n" }, "metadata": {} }, { "output_type": "stream", "name": "stdout", "text": [ "Top features impacting Arrival Delay:\n", " Feature Coefficient\n", "7 Departure Delay in Minutes 0.968663\n", "4 Food and drink -0.074002\n", "2 Inflight wifi service -0.069666\n", "5 Seat comfort -0.065139\n", "3 Ease of Online booking -0.014050\n", "6 Cleanliness 0.011840\n", "0 Age -0.004197\n", "1 Flight Distance -0.000112\n" ] } ] }, { "cell_type": "markdown", "source": [ "The chart shows that departure delay is by far the most important factor for predicting when a flight will arrive.\n", "Other features, such as passenger age or flight distance, show very low importance in this baseline model." ], "metadata": { "id": "vH_lMcgTlVkf" } }, { "cell_type": "markdown", "source": [ "


\n", "\n", "---\n", "\n", "


" ], "metadata": { "id": "hkerNEsMIPbK" } }, { "cell_type": "markdown", "source": [ "# **Part 4: Feature Engineering**\n", "\n", "* Create, transform, scale, or extract new features; encoding categoricals, polynomial features, PCA, etc.\n", "*TIP: use sklearn's tools, such as Scalar, One-Hot, etc.*\n", "\n", "* To achieve the best possible results on the assignment, make extensive use of feature engineering.\n", "\n", "* Use a `Clustring Model` to create a new feature." ], "metadata": { "id": "wnzIOsrRVc_i" } }, { "cell_type": "markdown", "source": [ "-------------------------------" ], "metadata": { "id": "GWJFpwZIlqzg" } }, { "cell_type": "markdown", "source": [], "metadata": { "id": "I2FZ49YKlqpF" } }, { "cell_type": "markdown", "source": [ "### New Features\n", "\n", "We recommend reading the resources uploaded to the forum." ], "metadata": { "id": "l-WXLrFkVdYi" } }, { "cell_type": "markdown", "source": [ "-" ], "metadata": { "id": "7v5osbzksFpX" } }, { "cell_type": "markdown", "source": [ "I created a binary target for the classification task.\n", "A flight is marked as 'delayed' (1) if the arrival delay exceeds 15 minutes." ], "metadata": { "id": "zidNbYzdreab" } }, { "cell_type": "code", "source": [ "#Define delay threshold and create binary target\n", "df['is_delayed'] = (df['Arrival Delay in Minutes'] > 15).astype(int)\n", "\n", "#Verify the class balance for classification\n", "print(df['is_delayed'].value_counts(normalize=True)) #show percentage of each class" ], "metadata": { "id": "2ZVUTVmyVddO", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "4b6d7236-a9f7-419a-e545-34630ecdc016" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "is_delayed\n", "0 0.770012\n", "1 0.229988\n", "Name: proportion, dtype: float64\n" ] } ] }, { "cell_type": "markdown", "source": [ "-------------------------------" ], "metadata": { "id": "cSiR6cqurmtD" } }, { "cell_type": "markdown", "source": [ "I converted categorical text features into numerical values.\n", "This process enables the machine learning models to process non-numeric data columns." ], "metadata": { "id": "Tdc5gsz9rpSz" } }, { "cell_type": "code", "source": [ "#listing ALL text columns.\n", "cat_features = ['Gender', 'Customer Type', 'Type of Travel', 'Class', 'satisfaction']\n", "\n", "#looping through each column to check if it needs to be changed\n", "for col in cat_features:\n", " #If the column exists and it is still \"object\" (text),change it to numbers\n", " if col in df.columns and df[col].dtype == 'object':\n", " df = pd.get_dummies(df, columns=[col], drop_first=True)\n", " print(f\"Column '{col}' was converted to numbers.\")\n", "\n", "\n", "print(\"All relevant text columns are now numeric. The model is ready!\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "vimkVEY7TUVE", "outputId": "6ac7e4d6-4b25-4266-88b4-8adabf5bf0eb" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Column 'Gender' was converted to numbers.\n", "Column 'Customer Type' was converted to numbers.\n", "Column 'Type of Travel' was converted to numbers.\n", "Column 'Class' was converted to numbers.\n", "Column 'satisfaction' was converted to numbers.\n", "All relevant text columns are now numeric. The model is ready!\n" ] } ] }, { "cell_type": "markdown", "source": [ "-------------------------------" ], "metadata": { "id": "rpCRG94OsJCV" } }, { "cell_type": "markdown", "source": [ "I am scaling the numerical features using the StandardScaler tool from sklearn.\n", "This ensures all features have a mean of 0 and a standard deviation of 1." ], "metadata": { "id": "q-tHVSI2sI-_" } }, { "cell_type": "code", "source": [ "from sklearn.preprocessing import StandardScaler\n", "\n", "#Define numerical columns to scale (excluding the targets)\n", "num_cols = ['Age', 'Flight Distance', 'Departure Delay in Minutes']\n", "\n", "#Initialize and apply the scaler\n", "scaler = StandardScaler() #load scaler tool\n", "df[num_cols] = scaler.fit_transform(df[num_cols]) #normalize numerical data\n", "\n", "print(\"Numerical features scaled.\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "vV-bzniOqJ_T", "outputId": "9be155cc-ae63-481c-f9d4-33b9ac765c6e" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Numerical features scaled.\n" ] } ] }, { "cell_type": "markdown", "source": [ "-------------------------------" ], "metadata": { "id": "ltVmJb9ksdFb" } }, { "cell_type": "markdown", "source": [ "### **Applying Clustering (Unsupervised Learning):**\n", "\n", "* Run at least one clustering algorithm; K-Means, DBSCAN, etc.\n", "* Visualize the clusters using dimensionality reduction (PCA, t-SNE, UMAP).\n", "* Interpret the clusters: What makes them distinct? Are they useful?\n", "* Use the results to create new features (e.g., cluster ID, distance to centroid, cluster probabilities).\n" ], "metadata": { "id": "Vq9Nh-D1Vdh6" } }, { "cell_type": "markdown", "source": [ "-------------------------------" ], "metadata": { "id": "qzu2Op39svs4" } }, { "cell_type": "markdown", "source": [ "I am using K-Means clustering to group passengers based on their service ratings.\n", "The resulting cluster ID is added as a new feature to represent a 'passenger profile'." ], "metadata": { "id": "Z-4zLuaGs0qE" } }, { "cell_type": "code", "source": [ "from sklearn.cluster import KMeans\n", "\n", "#Select service rating columns for clustering\n", "rating_cols = ['Inflight wifi service', 'Ease of Online booking', 'Food and drink', 'Seat comfort', 'Cleanliness']\n", "\n", "#Run K-Means with 3 clusters\n", "kmeans = KMeans(n_clusters=3, random_state=42)#define 3 service profiles\n", "df['passenger_profile'] = kmeans.fit_predict(df[rating_cols])#create new feature from clusters\n", "\n", "print(\"New clustering feature created.\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "444b8115-62e7-4597-8a49-b5c2c9460609", "id": "5bw3XEg9s4oD" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "New clustering feature created.\n" ] } ] }, { "cell_type": "markdown", "source": [ "\n", "\n", "---\n", "\n" ], "metadata": { "id": "Z-Fh0Sxs99x0" } }, { "cell_type": "markdown", "source": [ "I am applying PCA to reduce the multidimensional ratings into two visual components.\n", "This scatter plot visualizes the clusters to verify that the passenger profiles are distinct." ], "metadata": { "id": "KKCbKex0s9ky" } }, { "cell_type": "code", "source": [ "from sklearn.decomposition import PCA\n", "import matplotlib.pyplot as plt\n", "\n", "\n", "pca = PCA(n_components=2) #define 2D projection\n", "pca_results = pca.fit_transform(df[rating_cols]) #transform ratings to PCA space\n", "\n", "#Plot clusters using the new feature\n", "plt.scatter(pca_results[:, 0], pca_results[:, 1], c=df['passenger_profile'], cmap='viridis') #plot with color\n", "plt.title('Passenger Service Profiles (K-Means Clusters)') #add plot title\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 452 }, "id": "zsfUs0m3s6es", "outputId": "d1912a5d-1cac-4f07-bfd3-63152ec6000b" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
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\n" }, "metadata": {} } ] }, { "cell_type": "markdown", "source": [ "This plot shows that passengers are grouped into three distinct \"service profiles\" based on their ratings. This creates a meaningful \"travel profile\" feature, allowing us to test how different passenger experiences impact flight delays in our main research question." ], "metadata": { "id": "-qNLKDIOvUqK" } }, { "cell_type": "markdown", "source": [ "


\n", "\n", "---\n", "\n", "


" ], "metadata": { "id": "KLnSsY0UVah_" } }, { "cell_type": "markdown", "source": [ "# **Part 5: Train and Evaluate Three Improved Models**\n", "\n", "* Retrain your `Linear Regression` model with the engineered features.\n", "* Choose and Train two different types on models from the SKlearn package (DOCS), on the engineered dataset.\n", "* Compare performance with your baseline.\n", "* Visualize feature importance.\n", "* Discuss the improvement and the reasons.\n", "* Declare the winner." ], "metadata": { "id": "pykMu4YaXHEx" } }, { "cell_type": "markdown", "source": [ "I am retraining the Linear Regression model using the updated dataset with engineered features.\n", "This step allows us to measure how much the new features improve the continuous delay prediction." ], "metadata": { "id": "H8b9zCLiP4wS" } }, { "cell_type": "code", "source": [ "from sklearn.linear_model import LinearRegression\n", "from sklearn.metrics import r2_score, mean_squared_error\n", "import numpy as np\n", "\n", "#Define features (X) and continuous target (y)\n", "X_reg = df.drop(['Arrival Delay in Minutes', 'is_delayed'], axis=1)\n", "y_reg = df['Arrival Delay in Minutes']\n", "\n", "#Retrain the baseline model type\n", "reg_linear = LinearRegression()#load model from sklearn\n", "reg_linear.fit(X_reg, y_reg)#train on new features\n", "\n", "#Calculate performance\n", "linear_pred = reg_linear.predict(X_reg)#get predictions\n", "print(f\"Retrained Linear R2: {r2_score(y_reg, linear_pred)}\")#show accuracy" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "RsSzBd4HHlxw", "outputId": "e8e845d3-597f-45d2-c821-746658b5f5bf" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Retrained Linear R2: 0.9068214095900613\n" ] } ] }, { "cell_type": "markdown", "source": [ "-------------------------------" ], "metadata": { "id": "ZCarKXDfP6o8" } }, { "cell_type": "markdown", "source": [ "I am training a Decision Tree Regressor to capture non-linear relationships in the flight data.\n", "This model helps determine if a tree-based approach predicts delay minutes better than a linear one." ], "metadata": { "id": "T8V7G1oDP6bd" } }, { "cell_type": "code", "source": [ "from sklearn.tree import DecisionTreeRegressor\n", "\n", "#Train Decision Tree for regression\n", "reg_tree = DecisionTreeRegressor(max_depth=5, random_state=42)#load regressor\n", "reg_tree.fit(X_reg, y_reg)#train on engineered data\n", "\n", "#Evaluate performance\n", "tree_pred = reg_tree.predict(X_reg)#predict minutes\n", "tree_rmse = np.sqrt(mean_squared_error(y_reg, tree_pred))#calculate RMSE\n", "print(f\"Decision Tree R2: {r2_score(y_reg, tree_pred)}\")#show R-squared\n", "print(f\"Decision Tree RMSE: {tree_rmse}\")#show error margin" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "PKh0oRfTHluu", "outputId": "123d5754-2ef8-4db9-8b4a-34d8ff9319bf" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Decision Tree R2: 0.9096293700739012\n", "Decision Tree RMSE: 9.527669425954102\n" ] } ] }, { "cell_type": "markdown", "source": [ "-------------------------------" ], "metadata": { "id": "-L7EIxU_QAo8" } }, { "cell_type": "markdown", "source": [ "I am applying a Random Forest Regressor to achieve higher accuracy through an ensemble of trees.\n", "This model is often the top performer for predicting continuous values like flight delay minutes." ], "metadata": { "id": "SNGxW1XcQBRT" } }, { "cell_type": "code", "source": [ "from sklearn.ensemble import RandomForestRegressor\n", "\n", "#Train Random Forest Regressor\n", "reg_rf = RandomForestRegressor(n_estimators=100, max_depth=5, random_state=42)#load model\n", "reg_rf.fit(X_reg, y_reg)#train model\n", "\n", "#Evaluate improved accuracy\n", "rf_pred = reg_rf.predict(X_reg)#get predictions\n", "rf_rmse = np.sqrt(mean_squared_error(y_reg, rf_pred))#calculate RMSE\n", "print(f\"Random Forest R2: {r2_score(y_reg, rf_pred)}\")#show best R2" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "3tho1Q1HHwcq", "outputId": "cf2cfc59-23f0-4612-a802-05d023f0548e" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Random Forest R2: 0.9107566303517776\n" ] } ] }, { "cell_type": "markdown", "source": [ "-------------------------------" ], "metadata": { "id": "nGnAOKqXQG9O" } }, { "cell_type": "markdown", "source": [ "am visualizing the importance of each feature in predicting the arrival delay duration.\n", "The horizontal bar chart highlights the strongest contributors to flight delays in our model." ], "metadata": { "id": "UAL_q0OmQHg8" } }, { "cell_type": "code", "source": [ "from sklearn.metrics import r2_score\n", "import matplotlib.pyplot as plt\n", "\n", "#Extract R2 scores automatically from the variables\n", "score_linear = r2_score(y_reg, reg_linear.predict(X_reg))#gets dynamic score for linear\n", "score_tree = r2_score(y_reg, reg_tree.predict(X_reg))#gets dynamic score for tree\n", "score_rf = r2_score(y_reg, reg_rf.predict(X_reg))#gets dynamic score for random forest\n", "\n", "#data for the plot\n", "models = ['Linear Regression', 'Decision Tree', 'Random Forest'] #labels for x-axis\n", "results = [score_linear, score_tree, score_rf]#dynamic values for y-axis\n", "\n", "#Create the Comparison Plot\n", "plt.figure(figsize=(10, 6))#plot size\n", "bars = plt.bar(models, results, color=['#A9A9A9', '#4682B4', '#2E8B57'])\n", "\n", "#Add the value on top of each bar\n", "for bar in bars:\n", " yval = bar.get_height()\n", " plt.text(bar.get_x() + bar.get_width()/2, yval + 0.005, round(yval, 4), ha='center', va='bottom')\n", "\n", "plt.ylim(min(results) - 0.01, 1.0)#adjust y-axis to see the differences clearly\n", "plt.title('Automated Performance Comparison (R2 Score)')#add chart title\n", "plt.ylabel('R2 Score (Higher is Better)')#label y-axis\n", "plt.grid(axis='y', linestyle='--', alpha=0.7)#add background grid\n", "plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 545 }, "id": "WUOP13AfMsLZ", "outputId": "1c533bf7-f964-41c5-9ba2-e5b26f5b8028" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
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\n" }, "metadata": {} } ] }, { "cell_type": "markdown", "source": [ "Discussion, Improvement and Reasons:\n", "\n", "The improved models show a significant performance increase compared to the initial baseline model. While the baseline linear regression provided a solid starting point, the updated models achieved a higher\n", "R\n", "2\n", "\n", " score of approximately 0.9107 with the Random Forest Regressor.\n", "\n", "The reasons for this improvement include:\n", "\n", "Advanced Feature Engineering: The inclusion of the 'Passenger Profile' (generated via K-means clustering) and the encoding of categorical service ratings provided the models with more granular context regarding flight conditions and passenger types.\n", "\n", "Capturing Non-Linear Relationships: Unlike the basic linear model, the tree-based models (Decision Tree and Random Forest) are capable of identifying complex, non-linear interactions between features such as 'Flight Distance' and 'Departure Delay'.\n", "\n", "winner model:\n", "\n", "The Random Forest model is the winner because it aggregates multiple decision trees, which reduces variance and prevents overfitting, leading to more stable and accurate predictions for arrival delays." ], "metadata": { "id": "GNwMxep2Rn80" } }, { "cell_type": "markdown", "source": [ "


\n", "\n", "---\n", "\n", "


" ], "metadata": { "id": "ykjbsmtgvbLx" } }, { "cell_type": "markdown", "source": [ "# Part 6: Winning Model" ], "metadata": { "id": "PS9t6m0_nJ9t" } }, { "cell_type": "markdown", "source": [ "1. Open a new HuggingFace Model Repository.\n", "2. Export the winning model to a `pickle` file.\n", "3. Upload the pickle file to your new model repository on `HF`." ], "metadata": { "id": "ga-aPfHDnRM3" } }, { "cell_type": "markdown", "source": [ 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)" ], "metadata": { "id": "GzsEe2Yun5nC" } }, { "cell_type": "markdown", "source": [], "metadata": { "id": "gu7oy4CQnf-L" } }, { "cell_type": "code", "source": [ "import pickle\n", "\n", "model_name = 'best_regression_model.pkl'\n", "with open(model_name, 'wb') as file:\n", " pickle.dump(reg_rf, file)\n", "print(f\"Model saved successfully as: {model_name}\")" ], "metadata": { "id": "Csg-bpJuoIXK", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "54fef314-faa2-4679-d2a3-c97de3a42123" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Model saved successfully as: best_regression_model.pkl\n" ] } ] }, { "cell_type": "markdown", "source": [ "


\n", "\n", "---\n", "\n", "


" ], "metadata": { "id": "2poXnlF5XEXN" } }, { "cell_type": "markdown", "source": [ "## Part 7: Regression-to-Classification" ], "metadata": { "id": "-e5pgBLLoN81" } }, { "cell_type": "markdown", "source": [ "In this section, you will **reframe your original regression problem as a classification problem**.\n", "This means transforming your continuous numeric target into **discrete classes**, and then training classification models to predict those classes.\n", "\n", "\n", "\n", "\n", "\n" ], "metadata": { "id": "Qtj_Sf-7oqY5" } }, { "cell_type": "markdown", "source": [ "\n", "#### **7.1 Create Classes From Your Numeric Target**\n", "\n", "Your first task is to convert the continuous target `y` into categories. Choose a strategy to convert your numeric target into classes. For example:\n", "\n", "\n", "* Median Split (Binary Classification)**\n", "```\n", "Class 0: values **below the median**\n", "Class 1: values **at or above the median**\n", "```\n", "\n", "* Quantile Binning (3+ Classes)**\n", "```\n", "> * Class 0: bottom 33%\n", "> * Class 1: middle 33%\n", "> * Class 2: top 33%\n", "```\n", "\n", "* Business Rule Threshold** - You define a meaningful cutoff, e.g.:\n", "```\n", "* High-value customer if revenue > X\n", "* “Expensive” product if price > Y\n", "```\n", "\n", "**Tasks:**\n", "\n", "1. Implement your chosen strategy on the **train** and **test** targets. Using the **same engineered features** as before.\n", "\n", "2. Explain the reasoning behind your choice (2–3 sentences)." ], "metadata": { "id": "M9g9bfxlqWYg" } }, { "cell_type": "markdown", "source": [ "-------------------------------" ], "metadata": { "id": "r8ROO3EDdqA0" } }, { "cell_type": "markdown", "source": [ "his code changes the delay minutes into two groups: \"delayed\" (1) or \"not delayed\" (0).\n", "I did this because our research goal is to predict if a flight status is delayed.We used the \"Business Rule Threshold\" strategy for this part.\n", "We chose 0 minutes as the limit because any time above zero is logically a delay." ], "metadata": { "id": "PFX52UZSdp1c" } }, { "cell_type": "code", "source": [ "#Step 7.1: Convert numeric target to classes\n", "\n", "#define 0 as the cutoff point for a delay\n", "threshold = 0\n", "\n", "#Change training numbers to 0 or 1\n", "y_train_class = (y_train > threshold).astype(int)\n", "\n", "#Change test numbers to 0 or 1\n", "y_test_class = (y_test > threshold).astype(int)\n", "\n", "#Check the first 5 results to see it works\n", "print(\"Original minutes:\", y_train.head().values)\n", "print(\"New classes:\", y_train_class.head().values)" ], "metadata": { "id": "IqC0YSXxqL3E", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "63aa935c-e7ba-4580-f1b4-3d07ffb7c1fb" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Original minutes: [10. 19. 0. 44. 1.]\n", "New classes: [1 1 0 1 1]\n" ] } ] }, { "cell_type": "markdown", "source": [ "I chose the Business Rule strategy with a threshold of 0 minutes.\n", "This is because any delay above zero is a real delay for passengers." ], "metadata": { "id": "jPUTXXgakwK4" } }, { "cell_type": "markdown", "source": [ "-------------------------------" ], "metadata": { "id": "u9iQJVAFk9KF" } }, { "cell_type": "markdown", "source": [ "\n", "#### **7.2 Check Class Balance**\n", "\n", "Before training your classifier, examine if the classes are balanced.\n", "\n", "1. Show the resulting **class distribution** (counts or percentages).\n", "2. Are some classes under-represented?\n", "3. If the data is imbalanced, explain which metric you’ll focus on (e.g., F1 score, recall) and why accuracy alone is misleading.\n", "4. If needed, consider changing your convertion." ], "metadata": { "id": "L8Grz1xfqLfH" } }, { "cell_type": "markdown", "source": [ "-------------------------------" ], "metadata": { "id": "sWzGiidclbcQ" } }, { "cell_type": "markdown", "source": [ "this code counts how many flights are in each class to see if the data is balanced.\n", "We do this because if one class is too small, accuracy can be a misleading metric." ], "metadata": { "id": "xQ5-7IPqlbXW" } }, { "cell_type": "code", "source": [ "#Step 7.2: Check class balance\n", "\n", "#Count the number of samples in each class\n", "class_counts = y_train_class.value_counts()\n", "\n", "#Calculate the percentage for each class\n", "class_percentages = y_train_class.value_counts(normalize=True) * 100\n", "\n", "print(\"Class Counts:\\n\", class_counts)\n", "print(\"\\nClass Percentages:\\n\", class_percentages)\n", "\n", "#Visualize the distribution\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "\n", "plt.figure(figsize=(6, 4))\n", "sns.barplot(x=class_counts.index, y=class_counts.values, color='lightgreen')\n", "plt.title('Distribution of Delayed (1) vs Not Delayed (0)')\n", "plt.xlabel('Class')\n", "plt.ylabel('Number of Flights')\n", "plt.show()" ], "metadata": { "id": "SQ1WoHIRqNj8", "colab": { "base_uri": "https://localhost:8080/", "height": 597 }, "outputId": "c63a7468-b213-432d-d6ee-d80d3d55dfb1" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Class Counts:\n", " Arrival Delay in Minutes\n", "0 44230\n", "1 34894\n", "Name: count, dtype: int64\n", "\n", "Class Percentages:\n", " Arrival Delay in Minutes\n", "0 55.899601\n", "1 44.100399\n", "Name: proportion, dtype: float64\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "
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\n" }, "metadata": {} } ] }, { "cell_type": "markdown", "source": [ "The results show the classes are well-balanced with 55% delayed and 45% not delayed flights.\n", "Since the groups are almost equal, our model can learn from both types of data effectively." ], "metadata": { "id": "FkQXDvjZoqaw" } }, { "cell_type": "markdown", "source": [ "-\n" ], "metadata": { "id": "yKn_yjQtmKJp" } }, { "cell_type": "markdown", "source": [ "Are some classes under-represented? No, both classes are well-represented (45% vs 55%).\n", "\n", "Metric choice: Even though the data is balanced and Accuracy will be reliable, we will still check the F1-Score to ensure the model predicts both classes correctly.\n", "\n", "Changing conversion? No change is needed. The \"Business Rule\" of 0 minutes worked perfectly to create balanced groups." ], "metadata": { "id": "6uq9VZG-mMew" } }, { "cell_type": "markdown", "source": [ "


\n", "\n", "---\n", "\n", "


" ], "metadata": { "id": "75xPnIjfqHEh" } }, { "cell_type": "markdown", "source": [ "# Part 8: Train & Eval Classification Models\n", "\n" ], "metadata": { "id": "Ii0otL-qqHOt" } }, { "cell_type": "markdown", "source": [ "#### 8.1 Answer the following here, and later mention it in your presentation.\n", "\n" ], "metadata": { "id": "co-38v1UsPd2" } }, { "cell_type": "markdown", "source": [ "In the context of your dataset/task, explain what would be more importatnt - precision or recall.\n", "\n" ], "metadata": { "id": "1XM_xVUGsfon" } }, { "cell_type": "code", "source": [ "# " ], "metadata": { "id": "mX2Ke1cEsfw7" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "In the context of your dataset/task, explain what would be more critical - False Positive or False Negative.\n" ], "metadata": { "id": "xbrqOTcBsf2Q" } }, { "cell_type": "code", "source": [ "# A False Positive is more critical because telling a passenger there is a delay when the flight is on time causes them to miss it.\n", "# Because of this, we will focus on the Precision metric to minimize these types of errors.\n" ], "metadata": { "id": "Hdu_9q-t_1CZ" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "#### 8.2: Train **three** different kinds of classification models.\n", "\n", "\n", "Go to SKlearn to find different classification models. And use them." ], "metadata": { "id": "8nZOjcjZsocr" } }, { "cell_type": "markdown", "source": [ "-------------------------------" ], "metadata": { "id": "myTCC7Xyy7po" } }, { "cell_type": "markdown", "source": [ "This code trains a Logistic Regression model to classify if a flight is delayed.\n", "It is a simple and fast model that shows the basic relationship between features and delays." ], "metadata": { "id": "Mrg6aTWty-Z7" } }, { "cell_type": "code", "source": [ "from sklearn.linear_model import LogisticRegression\n", "\n", "#Create the Logistic Regression model\n", "log_model = LogisticRegression(max_iter=1000)\n", "\n", "#Train the model\n", "log_model.fit(X_train, y_train_class)\n", "\n", "print(\"Model 1: Logistic Regression has been trained.\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "cVteMXGPy_hO", "outputId": "1d2998fb-cd5b-40f2-9465-03a6c3e70d5a" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Model 1: Logistic Regression has been trained.\n" ] } ] }, { "cell_type": "markdown", "source": [ "-------------------------------" ], "metadata": { "id": "um47k4dYzF8A" } }, { "cell_type": "markdown", "source": [ "This code trains a Decision Tree model to make delay predictions using a tree-like logic.\n", "We use it because it is very easy to visualize and understand how the model makes decisions." ], "metadata": { "id": "GPJ1ADiWzHlY" } }, { "cell_type": "code", "source": [ "from sklearn.tree import DecisionTreeClassifier\n", "\n", "#Create the Decision Tree model\n", "dt_model = DecisionTreeClassifier(random_state=42)\n", "\n", "#Train the model\n", "dt_model.fit(X_train, y_train_class)\n", "\n", "print(\"Model 2: Decision Tree has been trained.\")" ], "metadata": { "id": "6MIie1Rws3pE", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "ebed07e6-a05d-4f8d-9871-fe246cdf95b8" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Model 2: Decision Tree has been trained.\n" ] } ] }, { "cell_type": "markdown", "source": [ "-------------------------------" ], "metadata": { "id": "tWUL0DLJzRpr" } }, { "cell_type": "markdown", "source": [ "This code trains a Random Forest model, which is a collection of many decision trees.\n", "We use this model because it is very powerful and usually provides the most" ], "metadata": { "id": "MCFL6u53zUkL" } }, { "cell_type": "code", "source": [ "from sklearn.ensemble import RandomForestClassifier\n", "\n", "#Create the Random Forest model\n", "rf_model = RandomForestClassifier(n_estimators=100, random_state=42)\n", "\n", "#Train the model\n", "rf_model.fit(X_train, y_train_class)\n", "\n", "print(\"Model 3: Random Forest has been trained.\")" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "CjjXosh50GvX", "outputId": "4f7cbdc3-7dfb-4992-af42-582e67d771b2" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Model 3: Random Forest has been trained.\n" ] } ] }, { "cell_type": "markdown", "source": [], "metadata": { "id": "z4Lo2Ul0zju_" } }, { "cell_type": "markdown", "source": [ "#### 8.3: Evaluation" ], "metadata": { "id": "wELPknwqsOG_" } }, { "cell_type": "markdown", "source": [ "- Evaluate the Classification Models.\n", "\n", "- For each print the `classification report` (precision, recall, F1-score, support), and show a `confusion matrix`. (use SKlean built tools) Comment on what types of mistakes the model makes (based on the confusion matrix).\n", "\n", "- Identify which model performs best and try explain **why**.\n", "\n" ], "metadata": { "id": "bEzxJLmVsvVx" } }, { "cell_type": "code", "source": [ "import seaborn as sns\n", "import matplotlib.pyplot as plt\n", "from sklearn.metrics import confusion_matrix\n", "\n", "models_list = [log_model, dt_model, rf_model]\n", "names_list = [\"Logistic Regression\", \"Decision Tree\", \"Random Forest\"]\n", "\n", "for model, name in zip(models_list, names_list):\n", " #predict on test data\n", " y_pred = model.predict(X_test)\n", "\n", " #calculate confusion matrix\n", " cm = confusion_matrix(y_test_class, y_pred)\n", "\n", " #plot size\n", " plt.figure(figsize=(5, 4))\n", "\n", " #plot settings\n", " sns.heatmap(cm, annot=True, fmt='d', cmap='Purples', cbar=False,\n", " xticklabels=['Predicted: On Time', 'Predicted: Delayed'],\n", " yticklabels=['Actual: On Time', 'Actual: Delayed'])\n", "\n", " plt.title(f\"How {name} Performed\", fontsize=14)\n", " plt.ylabel('Reality')\n", " plt.xlabel('Model Guess')\n", " plt.tight_layout()\n", " plt.show()" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 1000 }, "id": "AlPq5uGoYYCk", "outputId": "3d8eac0e-4177-490c-9919-f6603d7ca008" }, "execution_count": null, "outputs": [ { "output_type": "display_data", "data": { "text/plain": [ "
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\n" 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\n" 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\n" }, "metadata": {} } ] }, { "cell_type": "markdown", "source": [ "#### 8.4: Winner" ], "metadata": { "id": "iOW61vwUtEi1" } }, { "cell_type": "markdown", "source": [ "- Choose the best one out of the three models.\n", "\n", "- Export the model to a `pickle` file.\n", "\n", "- Upload the pickle file to the same(!) model repository.\n" ], "metadata": { "id": "2t9YFU9KtH8p" } }, { "cell_type": "markdown", "source": [ " The Logistic Regression is the winner because it has the lowest number of critical errors (686).\n", "Even though other models might have higher overall accuracy, this model is the safest for our passengers." ], "metadata": { "id": "KDjAaw8vifHI" } }, { "cell_type": "code", "source": [ "import pickle\n", "\n", "model_filename = 'best_flight_model.pkl'\n", "with open(model_filename, 'wb') as file:\n", " pickle.dump(log_model, file)\n", "\n", "print(f\"Success! The winning model has been saved as: {model_filename}\")" ], "metadata": { "id": "-GsJatjRsvZ-", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "d5b4a2a2-7067-4f9d-e534-69407d9a85bf" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Success! The winning model has been saved as: best_flight_model.pkl\n" ] } ] }, { "cell_type": "markdown", "source": [ "


\n", "\n", "---\n", "\n", "


" ], "metadata": { "id": "TlClTFEgXFTX" } }, { "cell_type": "markdown", "source": [ "# **Part 9: Presentation Video**\n", "\n", "- Record a brief video (4–6 minutes) with screen sharing of you walk through the HF's model repository, README, and sharing your process & results. Include a screen share while also recording yourself talking during the walk through.\n", "\n", "- The recording will include sharing the screen, and you talking to the camera (show yourself in a circle on the bottom).\n", "\n", "- Videos without your face talking while going ower your work wont be acceptable.\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n" ], "metadata": { "id": "mzYCO54GIPdP" } }, { "cell_type": "markdown", "source": [ "> For help:\n", "> - Youtube [Watch this video](https://www.youtube.com/watch?v=DK7Z_nYhjjg)\n", "> - Loom [Watch this video](https://www.youtube.com/watch?v=eSCHNXTsJK8)\n", "> - Zoom [Watch this video](https://www.youtube.com/watch?v=njwbjFYCbGU)\n" ], "metadata": { "id": "fl0X5y1muPvw" } }, { "cell_type": "markdown", "source": [ "- Include:\n", " - A quick dataset overview and your main goal.\n", " - Key EDA steps and highlights of visual insights.\n", " - How you engineered features. About your clustering.\n", " - The models you trained, your iterative process, and what you learned.\n", " - Key visualizations and takeaways.\n", " - Reflections on any challenges and lessons learned.\n", " - Extra work.\n", "\n", "- Finally, attach the video to the beginning of the `README` file, and make sure everything works. *The video should be placed at the beginning of the README and must be playable within it. It can be recorded using `Vimeo`, `YouTube`, `Loom`, and uploaded to your HF model repo.*" ], "metadata": { "id": "Kw06OJESuWGp" } }, { "cell_type": "code", "source": [ "# The following is an example on how to include your video in the README file.\n", "# \n" ], "metadata": { "id": "ccJCoq6HutHy" }, "execution_count": null, "outputs": [] }, { "cell_type": "markdown", "source": [ "


\n", "\n", "---\n", "\n", "


" ], "metadata": { "id": "YvNRPdxhvWaK" } }, { "cell_type": "markdown", "source": [ "# Part 10: Moodle" ], "metadata": { "id": "EZzOzA3YupFc" } }, { "cell_type": "markdown", "source": [ "**Submit to Moodle only one link - the link to your HF's Model Repository.** \n", "\n", "The Repo should Include:\n", "- README\n", "- Python Notebook\n", "- 1 pickle model for regression\n", "- 1 pickle model for classification\n", "- Video Presentation" ], "metadata": { "id": "n28Xs2gRusQh" } }, { "cell_type": "code", "source": [], "metadata": { "id": "DFqtRAswvKox" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "df.to_csv('_Assigment_2_EDA.csv', index=False)" ], "metadata": { "id": "ydrCkKI8FgHR" }, "execution_count": 41, "outputs": [] }, { "cell_type": "markdown", "source": [ "\n", "---\n", "\n", "
\n", "
\n", "
\n", "
\n", "\n", "Good luck and have fun creating AI model!" ], "metadata": { "id": "rN8TJ_5oIPfm" } }, { "cell_type": "code", "source": [], "metadata": { "id": "cPgKfBWKvU8K" }, "execution_count": null, "outputs": [] } ] }