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# Brain Stroke prediction- DecisionTree
A stroke is an interruption of the blood supply to any part of the brain. If blood flow was stopped for longer than a few seconds and the brain cannot get blood and oxygen, brain cells can die, and the abilities controlled by that area of the brain are lost. In this Notebook we will use some features to see wether we will be able to predict the stoke or not? This is just a theoretical Machine Learning Model that will analyze the data and determine where the stroke can occur.
## Basic Outline For A Machine Learning Model:
Points to keep in mind when working with a machine learning model
1. Import the Data
2. Clean the Data
3. Split the Data into Training/Test Sets
4. Create Model
5. Train the Model
6. Make Predictions
7. Evaluate and Improve
## Libraries Needed:
1. Numpy
2. Pandas
3. Matplotlib
4. Scikit-Learn
5. Seaborn
6. Cufflinks
## Tools Needed:
1. Jupyter (IDE)
2. https://www.kaggle.com (To download the dataset)
3. https://dreampuf.github.io/GraphvizOnline/ (To visualize the graph)
## Methodology:
1. IMPORTING LIBRARIES AND LOADING DATA
2. DATA EXPLORATION
3. VIZUALIZATION
4. DATA PREPROCESSING
a. Target and Feature values / Train Test Split
5. MODEL BUILDING
a. Decision Tree Classifier and Gini method
b. Prediction Model File Generation
c. Prediction Model File Loading
d. Model accuracy score
i. Testing Accuracy
ii. Training Accuracy
6. MODEL WORKING GRAPH
## In-Depth Working of this model:
### Imports
1. Numpy: For working with arrays.
2. Pandas: Used to analyze the data.
3. OS Module: For working with files/directories.
4. matplotlib: Used for programmatic plot generation.
5. Seaborn: Used for statistical graphics.
6. Warnings: Used to control warnings in Python.
7. sklearn: These are simple and efficient tools for predictive data analsis.
### Data Exploration
1. pd.read_csv: Used to load cvs files in pandas dataframe.
2. df.head: It returns first 'n' rows.
3. pd.info: It prints information about the dataframe.
4. df.describe: It generates descriptive statistics.
5. unique: It returns unique values from the dataframe.
### Vizualization
1. Cufflinks: It connects plotly with pandas to create charts directly on the dataframe.
2. go_offline: This enables us to use plotly offline rather than online.
3. offline=Flase: It enables the charts to not render locally.
4. df.groupby: It enables us to group dataframe using a mapper or a series of colomns.
5. df.values: It returns a numpy representation of the dataframe.
6. df.iplot: It is for building interactive plots.
7. df.sum: It returns a sum of values over the requested axis.
### Data Preprocessing
1. df.isnull: It detects missing values.
2. df.drop: It drops speficied labels from rows and columns.
3. get_dummies: It converts categorial variable into dummy/indicator variable.
### Model Building
1. criterion: The function to measure the quality of a split.
2. random_state: It controls the randomness of the estimator.
3. max_depth: The maximum depth of the tree.
4. clf_gini.fit: It is used to fit training data.
5. joblib.dump: It collects all the learning and dumps it in one file.
6. joblib.load: It reconstructs the file for use which is created by 'dump' method.
7. clf_gini.predict: It is a method which operates using numpy.argmax function on the output of predic_probo.
8. clf_gini.score: It returns the mean accuracy on the given test data and labels.
9. export_graphviz: It is used to export a decision tree in a '.dot' format.

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gender,age,hypertension,heart_disease,ever_married,work_type,Residence_type,avg_glucose_level,bmi,smoking_status,stroke
Female,61.0,0,0,Yes,Self-employed,Rural,202.21,31.555602417555065,never smoked,1
Female,59.0,0,0,Yes,Private,Rural,76.15,30.24293671780551,Unknown,1
Male,78.0,0,1,Yes,Private,Urban,219.84,30.698951437189447,Unknown,1
Male,57.0,0,1,No,Govt_job,Urban,217.08,33.80840960032553,Unknown,1
Male,58.0,0,0,Yes,Private,Rural,189.84,31.378533851873115,Unknown,1
Male,59.0,0,0,Yes,Private,Rural,211.78,33.4845680869329,formerly smoked,1
Female,63.0,0,0,Yes,Private,Urban,90.9,30.042545164065906,formerly smoked,1
Female,75.0,0,1,No,Self-employed,Urban,109.78,28.31827337114426,Unknown,1
Female,76.0,0,0,No,Private,Urban,89.96,28.397892673424312,Unknown,1
Male,78.0,1,0,Yes,Private,Urban,75.32,29.139780244728872,formerly smoked,1
Female,63.0,0,0,Yes,Govt_job,Urban,197.54,31.602317143886843,never smoked,1
Male,78.0,0,0,Yes,Private,Urban,237.75,29.316691843518786,formerly smoked,1
Male,75.0,0,0,Yes,Private,Urban,104.72,28.31827337114426,Unknown,1
Female,76.0,0,0,Yes,Govt_job,Rural,62.57,27.954912232096934,formerly smoked,1
Female,51.0,0,0,Yes,Private,Urban,165.31,30.491106831242366,never smoked,1
Female,66.0,0,0,Yes,Self-employed,Urban,101.45,29.292953098797682,Unknown,1
Male,58.0,0,0,Yes,Private,Urban,71.2,30.003880754655786,Unknown,1
Male,58.0,0,0,Yes,Private,Urban,82.3,30.199570565349735,smokes,1
Female,76.0,0,0,Yes,Self-employed,Urban,106.41,28.202069360450302,formerly smoked,1
Female,72.0,0,0,Yes,Private,Urban,219.91,32.120369077356244,Unknown,1
Male,78.0,1,0,Yes,Self-employed,Urban,93.13,29.210833962046138,formerly smoked,1
Female,75.0,0,0,Yes,Govt_job,Urban,62.48,28.070471960148872,Unknown,1
Female,38.0,0,0,Yes,Private,Rural,101.45,29.863774950891848,formerly smoked,1
Male,65.0,0,0,Yes,Self-employed,Urban,68.43,29.583323235372124,formerly smoked,1
Female,79.0,0,0,Yes,Private,Rural,169.67,27.971856904548776,Unknown,1
Female,76.0,0,0,Yes,Private,Urban,57.92,27.940892278838152,formerly smoked,1
Male,71.0,0,1,Yes,Private,Urban,81.76,28.9457498615031,smokes,1
Female,1.32,0,0,No,children,Urban,70.37,18.719259745575055,Unknown,1
Male,79.0,1,0,Yes,Private,Rural,75.02,29.139780244728872,never smoked,1
Male,64.0,0,0,Yes,Self-employed,Rural,111.98,29.79052811527944,formerly smoked,1
Female,79.0,1,1,No,Self-employed,Rural,60.94,28.759856260413944,never smoked,1
Female,78.0,0,0,Yes,Self-employed,Rural,60.67,27.08627617177477,formerly smoked,1
Female,80.0,0,0,Yes,Govt_job,Urban,110.66,27.282122315103724,Unknown,1
Female,77.0,0,0,No,Private,Urban,81.32,28.08147438013183,Unknown,1
Male,61.0,0,1,Yes,Private,Urban,209.86,32.94704544116234,Unknown,1
Male,79.0,0,0,Yes,Private,Rural,114.77,27.243396290267707,formerly smoked,1
Male,74.0,0,0,Yes,Private,Urban,167.13,28.736400149250798,Unknown,1
Female,76.0,1,1,Yes,Self-employed,Urban,199.86,31.684031473836264,smokes,1
Male,74.0,0,0,Yes,Self-employed,Rural,60.98,28.070471960148872,never smoked,1
Male,71.0,1,0,Yes,Self-employed,Rural,87.8,30.763683412344054,Unknown,1
Male,34.0,0,1,Yes,Private,Urban,106.23,29.70237259796381,formerly smoked,0
Female,76.0,1,0,Yes,Self-employed,Urban,209.58,33.07902301871912,never smoked,0
Female,63.0,0,0,Yes,Govt_job,Rural,79.92,29.970218681520958,smokes,0
Male,61.0,0,0,Yes,Govt_job,Urban,184.15,30.863162932887985,Unknown,0
Male,54.0,1,0,Yes,Private,Rural,198.69,33.737576205047304,smokes,0
Male,40.0,0,0,Yes,Private,Rural,89.77,30.0668053524742,smokes,0
Female,48.0,1,0,No,Private,Rural,118.14,31.697085992503364,formerly smoked,0
Male,61.0,0,1,Yes,Private,Urban,88.27,29.99730179513789,never smoked,0
Male,31.0,1,0,Yes,Govt_job,Urban,92.11,31.198140115564627,never smoked,0
Female,43.0,0,0,Yes,Govt_job,Rural,107.42,29.854190333221652,never smoked,0
Female,9.0,0,0,No,children,Urban,95.81,20.018427356531838,Unknown,0
Male,52.0,0,0,Yes,Private,Urban,226.7,33.117246460733575,smokes,0
Female,77.0,0,1,Yes,Private,Rural,183.1,28.982843563019326,never smoked,0
Female,17.0,0,0,No,Private,Rural,83.23,26.420807382569834,never smoked,0
Female,71.0,0,0,Yes,Self-employed,Urban,91.35,29.016504284733173,formerly smoked,0
Female,35.0,0,0,No,Govt_job,Urban,83.76,29.789599917563965,smokes,0
Female,23.0,0,0,No,Private,Urban,110.16,26.997282265398667,never smoked,0
Male,40.0,0,0,No,Private,Urban,88.27,30.0668053524742,formerly smoked,0
Female,23.0,0,0,No,Private,Rural,193.22,28.383477868385224,smokes,0
Female,71.0,1,0,Yes,Self-employed,Rural,66.12,30.375307026800215,never smoked,0
Male,13.0,0,0,No,children,Urban,71.73,22.562797542765956,Unknown,0
Male,73.0,1,0,Yes,Self-employed,Rural,102.06,30.19632033911637,Unknown,0
Female,3.0,0,0,No,children,Urban,79.63,18.896758341975225,Unknown,0
Male,51.0,0,0,Yes,Private,Rural,217.71,33.749649271841086,formerly smoked,0
Male,35.0,0,0,Yes,Private,Rural,115.92,29.612603644460908,formerly smoked,0
Female,73.0,0,0,Yes,Self-employed,Rural,79.69,28.596578523400677,formerly smoked,0
Female,6.0,0,0,No,children,Urban,201.25,20.50813016611414,Unknown,0
Male,46.0,1,0,Yes,Private,Rural,73.72,31.606570696468122,smokes,0
Female,71.0,0,0,Yes,Private,Urban,214.77,32.27387095184459,Unknown,0
Female,54.0,1,0,Yes,Private,Rural,98.74,31.89971211530221,never smoked,0
Female,80.0,0,0,Yes,Govt_job,Urban,84.86,27.411314469808467,Unknown,0
Female,49.0,0,0,Yes,Private,Rural,67.27,29.876490922740366,formerly smoked,0
Male,72.0,0,0,Yes,Self-employed,Rural,72.09,28.54569321378707,smokes,0
Male,25.0,0,0,Yes,Private,Rural,78.29,27.173222235093398,smokes,0
Male,27.0,0,0,No,Private,Rural,191.79,28.89969575625761,smokes,0
Male,51.0,1,0,Yes,Private,Rural,163.56,32.29329460570186,formerly smoked,0
Male,48.0,0,0,Yes,Self-employed,Rural,216.88,33.69541657142078,smokes,0
Male,7.0,0,0,No,children,Urban,87.94,19.483194786207072,Unknown,0
Female,61.0,1,1,Yes,Private,Urban,237.58,33.746401289230256,formerly smoked,0
Female,25.0,0,0,Yes,Govt_job,Urban,93.23,27.24120740794051,smokes,0
Male,30.0,0,0,Yes,Private,Urban,91.23,29.28032172443538,smokes,0
Male,71.0,1,0,Yes,Self-employed,Rural,93.6,30.719672786758665,never smoked,0
Male,47.0,0,0,No,Private,Rural,237.17,32.05850252051601,Unknown,0
Male,76.0,0,1,Yes,Private,Urban,79.05,28.328095943797504,Unknown,0
Female,29.0,0,0,No,Private,Urban,81.43,28.61994283496398,formerly smoked,0
Female,48.0,0,1,Yes,Self-employed,Urban,101.22,30.006573102139797,formerly smoked,0
Female,57.0,1,0,Yes,Private,Urban,210.0,35.18860462517498,never smoked,0
Male,58.0,0,0,Yes,Private,Urban,94.0,30.272074039541987,Unknown,0
Male,45.0,0,1,Yes,Private,Rural,93.77,30.013810750424852,Unknown,0
Male,66.0,0,0,Yes,Private,Urban,190.4,30.538184095161768,formerly smoked,0
Male,59.0,0,1,Yes,Govt_job,Urban,188.69,31.378533851873115,formerly smoked,0
Male,34.0,0,0,Yes,Private,Rural,86.51,29.904709563307257,formerly smoked,0
Male,69.0,1,0,Yes,Private,Rural,107.11,30.624831677910333,smokes,0
Male,66.0,0,0,Yes,Self-employed,Urban,71.38,29.18710939880596,formerly smoked,0
Female,48.0,0,0,Yes,Self-employed,Rural,209.9,33.17294727137241,smokes,0
Male,32.0,0,0,No,Private,Rural,95.58,29.752554356966748,smokes,0
Male,60.0,0,0,Yes,Self-employed,Urban,185.71,31.378533851873115,Unknown,0
Female,30.0,0,0,No,Govt_job,Urban,88.2,29.28032172443538,smokes,0
Female,60.0,0,0,Yes,Self-employed,Urban,203.04,32.130179775170376,smokes,0
Male,10.0,0,0,No,children,Rural,99.87,20.263791073638025,formerly smoked,0
Male,20.0,0,0,No,Private,Rural,70.96,26.305040919138523,Unknown,0
Male,77.0,0,0,Yes,Private,Urban,74.26,28.004566476544774,formerly smoked,0
Male,67.0,0,0,Yes,Private,Urban,92.73,29.081488595208445,never smoked,0
Female,42.0,0,0,Yes,Private,Urban,208.06,32.49735905629397,smokes,0
Female,60.0,1,0,Yes,Private,Urban,109.0,31.89971211530221,Unknown,0
Male,0.48,0,0,No,children,Urban,73.02,17.89929451491795,Unknown,0
Male,35.0,0,0,Yes,Private,Rural,77.48,29.832593105583623,formerly smoked,0
Male,50.0,1,0,No,Private,Urban,81.96,31.97914377106592,formerly smoked,0
Female,19.0,0,0,No,Private,Rural,72.39,26.284524627193612,smokes,0
Female,77.0,1,0,Yes,Self-employed,Urban,109.51,29.663123711666024,never smoked,0
Male,67.0,0,1,Yes,Private,Rural,97.24,28.944067909678317,Unknown,0
Female,20.0,0,0,No,Private,Urban,89.03,26.59200375926125,smokes,0
Male,49.0,0,0,Yes,Private,Rural,79.64,30.188174647677695,smokes,0
Male,77.0,0,1,Yes,Govt_job,Rural,106.03,27.956143010263066,Unknown,0
Female,52.0,1,0,Yes,Self-employed,Rural,111.38,31.791922363152473,smokes,0
Male,43.0,0,0,Yes,Govt_job,Rural,80.07,29.984830834123173,never smoked,0
Female,69.0,1,0,Yes,Govt_job,Urban,112.2,30.574928449662846,never smoked,0
Female,34.0,1,0,Yes,Self-employed,Urban,100.61,31.47526322033101,Unknown,0
Male,78.0,0,1,Yes,Self-employed,Urban,243.73,28.02386637636746,smokes,0
Male,76.0,0,1,Yes,Self-employed,Urban,67.03,28.02871647102671,never smoked,0
Male,62.0,1,1,Yes,Private,Rural,176.25,32.43801447032291,never smoked,0
Female,71.0,1,0,Yes,Private,Urban,105.55,30.557687319717626,smokes,0
Male,79.0,0,1,Yes,Private,Urban,213.38,30.504871562608173,Unknown,0
Male,79.0,0,1,Yes,Private,Rural,82.27,27.411314469808467,never smoked,0
Male,54.0,0,0,Yes,Private,Rural,74.06,30.162336272799983,never smoked,0
Female,73.0,1,0,Yes,Private,Rural,217.84,33.899575602263056,never smoked,0
Female,5.0,0,0,No,children,Rural,105.18,19.03363307440957,Unknown,0
Female,38.0,0,0,Yes,Private,Rural,217.55,33.541750072202845,smokes,0
Male,72.0,1,0,Yes,Private,Rural,231.71,33.22529657056137,Unknown,0
Male,14.0,0,0,No,Private,Rural,110.72,25.92538060204817,never smoked,0
Male,50.0,0,0,Yes,Private,Urban,67.02,29.876490922740366,formerly smoked,0
Male,29.0,1,0,Yes,Private,Urban,77.55,30.352153075720764,formerly smoked,0
Male,75.0,1,0,Yes,Private,Rural,198.79,31.809102388818047,smokes,0
Female,68.0,1,1,Yes,Private,Rural,233.3,33.480734073500464,Unknown,0
Female,33.0,1,0,No,Private,Rural,97.87,31.430239364510037,smokes,0
Male,63.0,0,1,Yes,Self-employed,Urban,82.72,29.927100195480005,never smoked,0
Female,56.0,0,0,Yes,Private,Urban,102.97,30.111585941603717,smokes,0
Male,70.0,0,0,Yes,Govt_job,Urban,202.55,30.781985990405303,formerly smoked,0
Male,71.0,0,1,Yes,Private,Urban,204.98,30.976758580936625,formerly smoked,0
Female,73.0,0,0,No,Self-employed,Rural,69.35,28.36584508965892,never smoked,0
Female,67.0,1,0,Yes,Private,Rural,85.48,30.75318633749586,smokes,0
Female,62.0,1,0,Yes,Self-employed,Urban,75.78,31.75309029478169,smokes,0
Female,38.0,0,0,Yes,Private,Urban,91.44,30.0668053524742,Unknown,0
Female,47.0,0,0,Yes,Self-employed,Rural,195.61,31.720165526413464,never smoked,0
Female,42.0,0,0,Yes,Private,Urban,73.37,29.948147355072038,smokes,0
Male,58.0,0,0,Yes,Govt_job,Urban,160.87,30.546215505510165,formerly smoked,0
Male,44.0,1,0,Yes,Private,Rural,84.1,31.723509495457375,Unknown,0
Male,42.0,0,0,Yes,Private,Urban,177.91,30.68964575227439,Unknown,0
Male,78.0,1,0,Yes,Self-employed,Urban,90.19,29.210833962046138,Unknown,0
Female,68.0,0,0,No,Private,Urban,82.85,28.968393628910906,smokes,0
Male,39.0,0,0,Yes,Private,Rural,84.18,29.951301422935355,smokes,0
Male,60.0,0,0,Yes,Self-employed,Rural,212.02,33.4845680869329,Unknown,0
Female,31.0,0,0,Yes,Self-employed,Urban,87.23,29.435237286859376,formerly smoked,0
Male,67.0,0,0,Yes,Private,Urban,260.85,29.09959343959128,Unknown,0
Female,52.0,1,0,Yes,Self-employed,Rural,104.45,31.843071754782194,never smoked,0
Female,53.0,0,0,Yes,Private,Urban,227.68,33.117246460733575,never smoked,0
Female,33.0,0,0,No,Private,Urban,84.4,29.746116027365073,smokes,0
Female,53.0,0,0,No,Private,Rural,235.45,32.48706845856044,formerly smoked,0
Female,49.0,0,0,Yes,Private,Rural,107.55,30.056974383018026,Unknown,0
Male,52.0,0,1,No,Self-employed,Rural,79.81,30.188174647677695,formerly smoked,0
Female,41.0,0,0,Yes,Self-employed,Rural,76.66,29.99444194055943,Unknown,0
Male,1.88,0,0,No,children,Rural,143.97,19.018775636939367,Unknown,0
Male,34.0,0,0,Yes,Private,Urban,99.23,29.70237259796381,smokes,0
Female,16.0,0,0,No,Private,Urban,89.45,26.52751396445424,Unknown,0
Female,45.0,0,0,Yes,Private,Urban,202.66,31.86199054694296,never smoked,0
Male,1.08,0,0,No,children,Rural,74.5,18.797637948568624,Unknown,0
Male,1.8,0,0,No,children,Urban,68.8,18.719259745575055,Unknown,0
Female,13.0,0,0,No,children,Rural,219.81,25.654078421843533,Unknown,0
Female,61.0,0,0,Yes,Private,Rural,219.38,33.46726940704127,never smoked,0
Female,37.0,0,0,No,Govt_job,Rural,72.08,29.595595561791818,formerly smoked,0
Male,32.0,1,0,No,Govt_job,Urban,58.24,31.098300161525284,formerly smoked,0
Female,79.0,0,0,Yes,Private,Rural,208.05,29.78694460325683,smokes,0
Male,8.0,0,0,No,children,Urban,78.76,19.428195618403347,Unknown,0
Female,75.0,0,1,Yes,Self-employed,Urban,83.88,28.402910258289666,smokes,0
Female,79.0,1,0,Yes,Self-employed,Rural,92.43,29.210833962046138,never smoked,0
Female,69.0,0,1,Yes,Private,Urban,207.6,31.231186313834275,never smoked,0
Male,31.0,0,0,Yes,Private,Urban,108.62,29.23491653621969,smokes,0
Female,82.0,1,0,Yes,Private,Urban,222.52,31.75340319266665,formerly smoked,0
Male,32.0,1,0,No,Private,Rural,74.43,31.497422037342364,Unknown,0
Female,17.0,0,0,No,Private,Urban,92.97,26.52751396445424,formerly smoked,0
Female,18.0,0,0,No,Private,Rural,101.12,26.437222755448115,smokes,0
Male,59.0,1,0,Yes,Govt_job,Rural,253.93,32.1306496403525,formerly smoked,0
Male,3.0,0,0,No,children,Rural,194.75,20.11991532687849,Unknown,0
Female,20.0,0,0,No,Govt_job,Rural,79.53,26.52504773335733,never smoked,0
Female,78.0,0,0,Yes,Govt_job,Urban,101.76,27.32855855724956,smokes,0
Male,52.0,1,0,Yes,Govt_job,Rural,116.62,31.749263451594498,smokes,0
Female,65.0,0,1,Yes,Private,Rural,57.52,29.420252347958517,formerly smoked,0
Male,59.0,0,0,Yes,Private,Urban,223.16,33.17530861079809,Unknown,0
Female,78.0,1,1,Yes,Private,Rural,206.53,31.17927645645906,never smoked,0
Female,70.0,0,1,Yes,Self-employed,Rural,65.68,28.64225263181359,Unknown,0
Female,70.0,0,1,Yes,Self-employed,Urban,240.69,30.87306207992168,smokes,0
Male,37.0,0,0,Yes,Private,Rural,107.06,29.70237259796381,smokes,0
Male,72.0,0,1,Yes,Private,Rural,238.27,30.69765019772622,smokes,0
Male,1.32,0,0,No,children,Rural,107.02,18.799209785253908,Unknown,0
Male,58.0,0,0,Yes,Govt_job,Urban,84.94,30.199570565349735,never smoked,0
Male,31.0,0,0,No,Private,Urban,215.07,32.721655047898544,smokes,0
Male,41.0,0,0,No,Private,Rural,70.15,29.75663127443438,formerly smoked,0
Male,40.0,0,0,Yes,Private,Urban,191.15,31.12417217394211,smokes,0
Female,45.0,1,0,Yes,Govt_job,Rural,95.02,31.79830364006429,smokes,0
Male,40.0,0,0,Yes,Private,Rural,83.94,29.951301422935355,smokes,0
Female,80.0,1,0,Yes,Private,Urban,83.75,29.09742107186247,never smoked,0
1 gender age hypertension heart_disease ever_married work_type Residence_type avg_glucose_level bmi smoking_status stroke
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7 Male 59.0 0 0 Yes Private Rural 211.78 33.4845680869329 formerly smoked 1
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10 Female 76.0 0 0 No Private Urban 89.96 28.397892673424312 Unknown 1
11 Male 78.0 1 0 Yes Private Urban 75.32 29.139780244728872 formerly smoked 1
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19 Male 58.0 0 0 Yes Private Urban 82.3 30.199570565349735 smokes 1
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52 Female 9.0 0 0 No children Urban 95.81 20.018427356531838 Unknown 0
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42 [label="avg_glucose_level <= 84.38\ngini = 0.375\nsamples = 4\nvalue = [3, 1]", fillcolor="#eeab7b"] ;
40 -> 42 ;
43 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
42 -> 43 ;
44 [label="gini = 0.0\nsamples = 3\nvalue = [3, 0]", fillcolor="#e58139"] ;
42 -> 44 ;
45 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
13 -> 45 ;
46 [label="bmi <= 45.45\ngini = 0.014\nsamples = 288\nvalue = [286, 2]", fillcolor="#e5823a"] ;
12 -> 46 ;
47 [label="age <= 38.5\ngini = 0.007\nsamples = 283\nvalue = [282, 1]", fillcolor="#e5813a"] ;
46 -> 47 ;
48 [label="smoking_status_formerly smoked <= 0.5\ngini = 0.074\nsamples = 26\nvalue = [25, 1]", fillcolor="#e68641"] ;
47 -> 48 ;
49 [label="gini = 0.0\nsamples = 20\nvalue = [20, 0]", fillcolor="#e58139"] ;
48 -> 49 ;
50 [label="bmi <= 30.35\ngini = 0.278\nsamples = 6\nvalue = [5, 1]", fillcolor="#ea9a61"] ;
48 -> 50 ;
51 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
50 -> 51 ;
52 [label="gini = 0.0\nsamples = 5\nvalue = [5, 0]", fillcolor="#e58139"] ;
50 -> 52 ;
53 [label="gini = 0.0\nsamples = 257\nvalue = [257, 0]", fillcolor="#e58139"] ;
47 -> 53 ;
54 [label="bmi <= 46.2\ngini = 0.32\nsamples = 5\nvalue = [4, 1]", fillcolor="#eca06a"] ;
46 -> 54 ;
55 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
54 -> 55 ;
56 [label="gini = 0.0\nsamples = 4\nvalue = [4, 0]", fillcolor="#e58139"] ;
54 -> 56 ;
57 [label="avg_glucose_level <= 100.97\ngini = 0.108\nsamples = 836\nvalue = [788, 48]", fillcolor="#e78945"] ;
1 -> 57 ;
58 [label="bmi <= 25.55\ngini = 0.068\nsamples = 482\nvalue = [465, 17]", fillcolor="#e68640"] ;
57 -> 58 ;
59 [label="gini = 0.0\nsamples = 81\nvalue = [81, 0]", fillcolor="#e58139"] ;
58 -> 59 ;
60 [label="bmi <= 30.4\ngini = 0.081\nsamples = 401\nvalue = [384, 17]", fillcolor="#e68742"] ;
58 -> 60 ;
61 [label="bmi <= 29.95\ngini = 0.121\nsamples = 185\nvalue = [173, 12]", fillcolor="#e78a47"] ;
60 -> 61 ;
62 [label="bmi <= 26.45\ngini = 0.071\nsamples = 162\nvalue = [156, 6]", fillcolor="#e68641"] ;
61 -> 62 ;
63 [label="avg_glucose_level <= 92.03\ngini = 0.204\nsamples = 26\nvalue = [23, 3]", fillcolor="#e89153"] ;
62 -> 63 ;
64 [label="gini = 0.0\nsamples = 21\nvalue = [21, 0]", fillcolor="#e58139"] ;
63 -> 64 ;
65 [label="bmi <= 26.25\ngini = 0.48\nsamples = 5\nvalue = [2, 3]", fillcolor="#bddef6"] ;
63 -> 65 ;
66 [label="work_type_Self-employed <= 0.5\ngini = 0.444\nsamples = 3\nvalue = [2, 1]", fillcolor="#f2c09c"] ;
65 -> 66 ;
67 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
66 -> 67 ;
68 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
66 -> 68 ;
69 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
65 -> 69 ;
70 [label="work_type_Govt_job <= 0.5\ngini = 0.043\nsamples = 136\nvalue = [133, 3]", fillcolor="#e6843d"] ;
62 -> 70 ;
71 [label="age <= 54.5\ngini = 0.017\nsamples = 120\nvalue = [119, 1]", fillcolor="#e5823b"] ;
70 -> 71 ;
72 [label="age <= 53.5\ngini = 0.048\nsamples = 41\nvalue = [40, 1]", fillcolor="#e6843e"] ;
71 -> 72 ;
73 [label="gini = 0.0\nsamples = 32\nvalue = [32, 0]", fillcolor="#e58139"] ;
72 -> 73 ;
74 [label="gender <= 0.5\ngini = 0.198\nsamples = 9\nvalue = [8, 1]", fillcolor="#e89152"] ;
72 -> 74 ;
75 [label="avg_glucose_level <= 64.39\ngini = 0.444\nsamples = 3\nvalue = [2, 1]", fillcolor="#f2c09c"] ;
74 -> 75 ;
76 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
75 -> 76 ;
77 [label="bmi <= 28.95\ngini = 0.5\nsamples = 2\nvalue = [1, 1]", fillcolor="#ffffff"] ;
75 -> 77 ;
78 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
77 -> 78 ;
79 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
77 -> 79 ;
80 [label="gini = 0.0\nsamples = 6\nvalue = [6, 0]", fillcolor="#e58139"] ;
74 -> 80 ;
81 [label="gini = 0.0\nsamples = 79\nvalue = [79, 0]", fillcolor="#e58139"] ;
71 -> 81 ;
82 [label="heart_disease <= 0.5\ngini = 0.219\nsamples = 16\nvalue = [14, 2]", fillcolor="#e99355"] ;
70 -> 82 ;
83 [label="hypertension <= 0.5\ngini = 0.124\nsamples = 15\nvalue = [14, 1]", fillcolor="#e78a47"] ;
82 -> 83 ;
84 [label="gini = 0.0\nsamples = 14\nvalue = [14, 0]", fillcolor="#e58139"] ;
83 -> 84 ;
85 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
83 -> 85 ;
86 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
82 -> 86 ;
87 [label="Residence_type_Rural <= 0.5\ngini = 0.386\nsamples = 23\nvalue = [17, 6]", fillcolor="#eead7f"] ;
61 -> 87 ;
88 [label="age <= 63.5\ngini = 0.469\nsamples = 8\nvalue = [3, 5]", fillcolor="#b0d8f5"] ;
87 -> 88 ;
89 [label="work_type_Govt_job <= 0.5\ngini = 0.278\nsamples = 6\nvalue = [1, 5]", fillcolor="#61b1ea"] ;
88 -> 89 ;
90 [label="gini = 0.0\nsamples = 5\nvalue = [0, 5]", fillcolor="#399de5"] ;
89 -> 90 ;
91 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
89 -> 91 ;
92 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
88 -> 92 ;
93 [label="age <= 50.5\ngini = 0.124\nsamples = 15\nvalue = [14, 1]", fillcolor="#e78a47"] ;
87 -> 93 ;
94 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
93 -> 94 ;
95 [label="gini = 0.0\nsamples = 14\nvalue = [14, 0]", fillcolor="#e58139"] ;
93 -> 95 ;
96 [label="ever_married <= 0.5\ngini = 0.045\nsamples = 216\nvalue = [211, 5]", fillcolor="#e6843e"] ;
60 -> 96 ;
97 [label="bmi <= 37.2\ngini = 0.208\nsamples = 17\nvalue = [15, 2]", fillcolor="#e89253"] ;
96 -> 97 ;
98 [label="gini = 0.0\nsamples = 11\nvalue = [11, 0]", fillcolor="#e58139"] ;
97 -> 98 ;
99 [label="Residence_type_Rural <= 0.5\ngini = 0.444\nsamples = 6\nvalue = [4, 2]", fillcolor="#f2c09c"] ;
97 -> 99 ;
100 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
99 -> 100 ;
101 [label="gini = 0.0\nsamples = 4\nvalue = [4, 0]", fillcolor="#e58139"] ;
99 -> 101 ;
102 [label="work_type_Govt_job <= 0.5\ngini = 0.03\nsamples = 199\nvalue = [196, 3]", fillcolor="#e5833c"] ;
96 -> 102 ;
103 [label="smoking_status_Unknown <= 0.5\ngini = 0.012\nsamples = 163\nvalue = [162, 1]", fillcolor="#e5823a"] ;
102 -> 103 ;
104 [label="gini = 0.0\nsamples = 132\nvalue = [132, 0]", fillcolor="#e58139"] ;
103 -> 104 ;
105 [label="bmi <= 36.65\ngini = 0.062\nsamples = 31\nvalue = [30, 1]", fillcolor="#e68540"] ;
103 -> 105 ;
106 [label="gini = 0.0\nsamples = 27\nvalue = [27, 0]", fillcolor="#e58139"] ;
105 -> 106 ;
107 [label="bmi <= 37.85\ngini = 0.375\nsamples = 4\nvalue = [3, 1]", fillcolor="#eeab7b"] ;
105 -> 107 ;
108 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
107 -> 108 ;
109 [label="gini = 0.0\nsamples = 3\nvalue = [3, 0]", fillcolor="#e58139"] ;
107 -> 109 ;
110 [label="avg_glucose_level <= 68.26\ngini = 0.105\nsamples = 36\nvalue = [34, 2]", fillcolor="#e78845"] ;
102 -> 110 ;
111 [label="avg_glucose_level <= 63.415\ngini = 0.48\nsamples = 5\nvalue = [3, 2]", fillcolor="#f6d5bd"] ;
110 -> 111 ;
112 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
111 -> 112 ;
113 [label="bmi <= 43.85\ngini = 0.444\nsamples = 3\nvalue = [1, 2]", fillcolor="#9ccef2"] ;
111 -> 113 ;
114 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
113 -> 114 ;
115 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
113 -> 115 ;
116 [label="gini = 0.0\nsamples = 31\nvalue = [31, 0]", fillcolor="#e58139"] ;
110 -> 116 ;
117 [label="avg_glucose_level <= 101.015\ngini = 0.16\nsamples = 354\nvalue = [323, 31]", fillcolor="#e78d4c"] ;
57 -> 117 ;
118 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
117 -> 118 ;
119 [label="smoking_status_never smoked <= 0.5\ngini = 0.156\nsamples = 353\nvalue = [323, 30]", fillcolor="#e78d4b"] ;
117 -> 119 ;
120 [label="bmi <= 45.85\ngini = 0.213\nsamples = 214\nvalue = [188, 26]", fillcolor="#e99254"] ;
119 -> 120 ;
121 [label="avg_glucose_level <= 222.245\ngini = 0.207\nsamples = 213\nvalue = [188, 25]", fillcolor="#e89253"] ;
120 -> 121 ;
122 [label="avg_glucose_level <= 221.86\ngini = 0.236\nsamples = 183\nvalue = [158, 25]", fillcolor="#e99558"] ;
121 -> 122 ;
123 [label="age <= 55.5\ngini = 0.229\nsamples = 182\nvalue = [158, 24]", fillcolor="#e99457"] ;
122 -> 123 ;
124 [label="avg_glucose_level <= 105.11\ngini = 0.145\nsamples = 89\nvalue = [82, 7]", fillcolor="#e78c4a"] ;
123 -> 124 ;
125 [label="avg_glucose_level <= 104.375\ngini = 0.426\nsamples = 13\nvalue = [9, 4]", fillcolor="#f1b991"] ;
124 -> 125 ;
126 [label="age <= 51.5\ngini = 0.298\nsamples = 11\nvalue = [9, 2]", fillcolor="#eb9d65"] ;
125 -> 126 ;
127 [label="Residence_type_Urban <= 0.5\ngini = 0.48\nsamples = 5\nvalue = [3, 2]", fillcolor="#f6d5bd"] ;
126 -> 127 ;
128 [label="gender <= 0.5\ngini = 0.444\nsamples = 3\nvalue = [1, 2]", fillcolor="#9ccef2"] ;
127 -> 128 ;
129 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
128 -> 129 ;
130 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
128 -> 130 ;
131 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
127 -> 131 ;
132 [label="gini = 0.0\nsamples = 6\nvalue = [6, 0]", fillcolor="#e58139"] ;
126 -> 132 ;
133 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
125 -> 133 ;
134 [label="bmi <= 40.3\ngini = 0.076\nsamples = 76\nvalue = [73, 3]", fillcolor="#e68641"] ;
124 -> 134 ;
135 [label="age <= 49.5\ngini = 0.031\nsamples = 64\nvalue = [63, 1]", fillcolor="#e5833c"] ;
134 -> 135 ;
136 [label="avg_glucose_level <= 155.33\ngini = 0.219\nsamples = 8\nvalue = [7, 1]", fillcolor="#e99355"] ;
135 -> 136 ;
137 [label="gini = 0.0\nsamples = 7\nvalue = [7, 0]", fillcolor="#e58139"] ;
136 -> 137 ;
138 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
136 -> 138 ;
139 [label="gini = 0.0\nsamples = 56\nvalue = [56, 0]", fillcolor="#e58139"] ;
135 -> 139 ;
140 [label="bmi <= 42.7\ngini = 0.278\nsamples = 12\nvalue = [10, 2]", fillcolor="#ea9a61"] ;
134 -> 140 ;
141 [label="smoking_status_smokes <= 0.5\ngini = 0.444\nsamples = 6\nvalue = [4, 2]", fillcolor="#f2c09c"] ;
140 -> 141 ;
142 [label="bmi <= 42.3\ngini = 0.32\nsamples = 5\nvalue = [4, 1]", fillcolor="#eca06a"] ;
141 -> 142 ;
143 [label="gini = 0.0\nsamples = 4\nvalue = [4, 0]", fillcolor="#e58139"] ;
142 -> 143 ;
144 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
142 -> 144 ;
145 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
141 -> 145 ;
146 [label="gini = 0.0\nsamples = 6\nvalue = [6, 0]", fillcolor="#e58139"] ;
140 -> 146 ;
147 [label="age <= 59.5\ngini = 0.299\nsamples = 93\nvalue = [76, 17]", fillcolor="#eb9d65"] ;
123 -> 147 ;
148 [label="work_type_Private <= 0.5\ngini = 0.42\nsamples = 40\nvalue = [28, 12]", fillcolor="#f0b78e"] ;
147 -> 148 ;
149 [label="bmi <= 29.4\ngini = 0.208\nsamples = 17\nvalue = [15, 2]", fillcolor="#e89253"] ;
148 -> 149 ;
150 [label="bmi <= 26.5\ngini = 0.5\nsamples = 4\nvalue = [2, 2]", fillcolor="#ffffff"] ;
149 -> 150 ;
151 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
150 -> 151 ;
152 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
150 -> 152 ;
153 [label="gini = 0.0\nsamples = 13\nvalue = [13, 0]", fillcolor="#e58139"] ;
149 -> 153 ;
154 [label="bmi <= 30.85\ngini = 0.491\nsamples = 23\nvalue = [13, 10]", fillcolor="#f9e2d1"] ;
148 -> 154 ;
155 [label="bmi <= 24.55\ngini = 0.165\nsamples = 11\nvalue = [10, 1]", fillcolor="#e88e4d"] ;
154 -> 155 ;
156 [label="age <= 58.0\ngini = 0.5\nsamples = 2\nvalue = [1, 1]", fillcolor="#ffffff"] ;
155 -> 156 ;
157 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
156 -> 157 ;
158 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
156 -> 158 ;
159 [label="gini = 0.0\nsamples = 9\nvalue = [9, 0]", fillcolor="#e58139"] ;
155 -> 159 ;
160 [label="bmi <= 35.15\ngini = 0.375\nsamples = 12\nvalue = [3, 9]", fillcolor="#7bbeee"] ;
154 -> 160 ;
161 [label="gini = 0.0\nsamples = 5\nvalue = [0, 5]", fillcolor="#399de5"] ;
160 -> 161 ;
162 [label="avg_glucose_level <= 198.86\ngini = 0.49\nsamples = 7\nvalue = [3, 4]", fillcolor="#cee6f8"] ;
160 -> 162 ;
163 [label="gender <= 0.5\ngini = 0.48\nsamples = 5\nvalue = [3, 2]", fillcolor="#f6d5bd"] ;
162 -> 163 ;
164 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
163 -> 164 ;
165 [label="smoking_status_smokes <= 0.5\ngini = 0.444\nsamples = 3\nvalue = [1, 2]", fillcolor="#9ccef2"] ;
163 -> 165 ;
166 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
165 -> 166 ;
167 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
165 -> 167 ;
168 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
162 -> 168 ;
169 [label="bmi <= 21.2\ngini = 0.171\nsamples = 53\nvalue = [48, 5]", fillcolor="#e88e4e"] ;
147 -> 169 ;
170 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
169 -> 170 ;
171 [label="heart_disease <= 0.5\ngini = 0.142\nsamples = 52\nvalue = [48, 4]", fillcolor="#e78c49"] ;
169 -> 171 ;
172 [label="age <= 62.5\ngini = 0.083\nsamples = 46\nvalue = [44, 2]", fillcolor="#e68742"] ;
171 -> 172 ;
173 [label="gini = 0.0\nsamples = 32\nvalue = [32, 0]", fillcolor="#e58139"] ;
172 -> 173 ;
174 [label="bmi <= 24.0\ngini = 0.245\nsamples = 14\nvalue = [12, 2]", fillcolor="#e9965a"] ;
172 -> 174 ;
175 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
174 -> 175 ;
176 [label="work_type_Self-employed <= 0.5\ngini = 0.142\nsamples = 13\nvalue = [12, 1]", fillcolor="#e78c49"] ;
174 -> 176 ;
177 [label="gini = 0.0\nsamples = 9\nvalue = [9, 0]", fillcolor="#e58139"] ;
176 -> 177 ;
178 [label="bmi <= 30.25\ngini = 0.375\nsamples = 4\nvalue = [3, 1]", fillcolor="#eeab7b"] ;
176 -> 178 ;
179 [label="smoking_status_Unknown <= 0.5\ngini = 0.5\nsamples = 2\nvalue = [1, 1]", fillcolor="#ffffff"] ;
178 -> 179 ;
180 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
179 -> 180 ;
181 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
179 -> 181 ;
182 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
178 -> 182 ;
183 [label="smoking_status_smokes <= 0.5\ngini = 0.444\nsamples = 6\nvalue = [4, 2]", fillcolor="#f2c09c"] ;
171 -> 183 ;
184 [label="gini = 0.0\nsamples = 4\nvalue = [4, 0]", fillcolor="#e58139"] ;
183 -> 184 ;
185 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
183 -> 185 ;
186 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
122 -> 186 ;
187 [label="gini = 0.0\nsamples = 30\nvalue = [30, 0]", fillcolor="#e58139"] ;
121 -> 187 ;
188 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
120 -> 188 ;
189 [label="age <= 60.5\ngini = 0.056\nsamples = 139\nvalue = [135, 4]", fillcolor="#e6853f"] ;
119 -> 189 ;
190 [label="age <= 51.5\ngini = 0.02\nsamples = 100\nvalue = [99, 1]", fillcolor="#e5823b"] ;
189 -> 190 ;
191 [label="avg_glucose_level <= 158.28\ngini = 0.077\nsamples = 25\nvalue = [24, 1]", fillcolor="#e68641"] ;
190 -> 191 ;
192 [label="gini = 0.0\nsamples = 18\nvalue = [18, 0]", fillcolor="#e58139"] ;
191 -> 192 ;
193 [label="avg_glucose_level <= 170.825\ngini = 0.245\nsamples = 7\nvalue = [6, 1]", fillcolor="#e9965a"] ;
191 -> 193 ;
194 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
193 -> 194 ;
195 [label="gini = 0.0\nsamples = 6\nvalue = [6, 0]", fillcolor="#e58139"] ;
193 -> 195 ;
196 [label="gini = 0.0\nsamples = 75\nvalue = [75, 0]", fillcolor="#e58139"] ;
190 -> 196 ;
197 [label="avg_glucose_level <= 228.38\ngini = 0.142\nsamples = 39\nvalue = [36, 3]", fillcolor="#e78c49"] ;
189 -> 197 ;
198 [label="avg_glucose_level <= 197.175\ngini = 0.1\nsamples = 38\nvalue = [36, 2]", fillcolor="#e68844"] ;
197 -> 198 ;
199 [label="gini = 0.0\nsamples = 25\nvalue = [25, 0]", fillcolor="#e58139"] ;
198 -> 199 ;
200 [label="avg_glucose_level <= 202.985\ngini = 0.26\nsamples = 13\nvalue = [11, 2]", fillcolor="#ea985d"] ;
198 -> 200 ;
201 [label="gender <= 0.5\ngini = 0.444\nsamples = 3\nvalue = [1, 2]", fillcolor="#9ccef2"] ;
200 -> 201 ;
202 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
201 -> 202 ;
203 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
201 -> 203 ;
204 [label="gini = 0.0\nsamples = 10\nvalue = [10, 0]", fillcolor="#e58139"] ;
200 -> 204 ;
205 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
197 -> 205 ;
206 [label="bmi <= 29.35\ngini = 0.264\nsamples = 666\nvalue = [562, 104]", fillcolor="#ea985e"] ;
0 -> 206 [labeldistance=2.5, labelangle=-45, headlabel="False"] ;
207 [label="age <= 73.5\ngini = 0.316\nsamples = 366\nvalue = [294, 72]", fillcolor="#eba069"] ;
206 -> 207 ;
208 [label="bmi <= 26.65\ngini = 0.229\nsamples = 129\nvalue = [112, 17]", fillcolor="#e99457"] ;
207 -> 208 ;
209 [label="avg_glucose_level <= 238.14\ngini = 0.15\nsamples = 61\nvalue = [56, 5]", fillcolor="#e78c4b"] ;
208 -> 209 ;
210 [label="bmi <= 22.85\ngini = 0.128\nsamples = 58\nvalue = [54, 4]", fillcolor="#e78a48"] ;
209 -> 210 ;
211 [label="ever_married <= 0.5\ngini = 0.255\nsamples = 20\nvalue = [17, 3]", fillcolor="#ea975c"] ;
210 -> 211 ;
212 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
211 -> 212 ;
213 [label="Residence_type_Rural <= 0.5\ngini = 0.188\nsamples = 19\nvalue = [17, 2]", fillcolor="#e89050"] ;
211 -> 213 ;
214 [label="gini = 0.0\nsamples = 11\nvalue = [11, 0]", fillcolor="#e58139"] ;
213 -> 214 ;
215 [label="gender <= 0.5\ngini = 0.375\nsamples = 8\nvalue = [6, 2]", fillcolor="#eeab7b"] ;
213 -> 215 ;
216 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
215 -> 216 ;
217 [label="avg_glucose_level <= 156.08\ngini = 0.245\nsamples = 7\nvalue = [6, 1]", fillcolor="#e9965a"] ;
215 -> 217 ;
218 [label="gini = 0.0\nsamples = 5\nvalue = [5, 0]", fillcolor="#e58139"] ;
217 -> 218 ;
219 [label="work_type_Self-employed <= 0.5\ngini = 0.5\nsamples = 2\nvalue = [1, 1]", fillcolor="#ffffff"] ;
217 -> 219 ;
220 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
219 -> 220 ;
221 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
219 -> 221 ;
222 [label="avg_glucose_level <= 62.19\ngini = 0.051\nsamples = 38\nvalue = [37, 1]", fillcolor="#e6843e"] ;
210 -> 222 ;
223 [label="avg_glucose_level <= 61.65\ngini = 0.375\nsamples = 4\nvalue = [3, 1]", fillcolor="#eeab7b"] ;
222 -> 223 ;
224 [label="gini = 0.0\nsamples = 3\nvalue = [3, 0]", fillcolor="#e58139"] ;
223 -> 224 ;
225 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
223 -> 225 ;
226 [label="gini = 0.0\nsamples = 34\nvalue = [34, 0]", fillcolor="#e58139"] ;
222 -> 226 ;
227 [label="avg_glucose_level <= 246.835\ngini = 0.444\nsamples = 3\nvalue = [2, 1]", fillcolor="#f2c09c"] ;
209 -> 227 ;
228 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
227 -> 228 ;
229 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
227 -> 229 ;
230 [label="avg_glucose_level <= 76.885\ngini = 0.291\nsamples = 68\nvalue = [56, 12]", fillcolor="#eb9c63"] ;
208 -> 230 ;
231 [label="gini = 0.0\nsamples = 13\nvalue = [13, 0]", fillcolor="#e58139"] ;
230 -> 231 ;
232 [label="bmi <= 29.25\ngini = 0.341\nsamples = 55\nvalue = [43, 12]", fillcolor="#eca470"] ;
230 -> 232 ;
233 [label="avg_glucose_level <= 78.755\ngini = 0.324\nsamples = 54\nvalue = [43, 11]", fillcolor="#eca16c"] ;
232 -> 233 ;
234 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
233 -> 234 ;
235 [label="bmi <= 28.55\ngini = 0.306\nsamples = 53\nvalue = [43, 10]", fillcolor="#eb9e67"] ;
233 -> 235 ;
236 [label="gender <= 0.5\ngini = 0.361\nsamples = 38\nvalue = [29, 9]", fillcolor="#eda876"] ;
235 -> 236 ;
237 [label="smoking_status_never smoked <= 0.5\ngini = 0.236\nsamples = 22\nvalue = [19, 3]", fillcolor="#e99558"] ;
236 -> 237 ;
238 [label="bmi <= 27.15\ngini = 0.42\nsamples = 10\nvalue = [7, 3]", fillcolor="#f0b78e"] ;
237 -> 238 ;
239 [label="gini = 0.0\nsamples = 5\nvalue = [5, 0]", fillcolor="#e58139"] ;
238 -> 239 ;
240 [label="avg_glucose_level <= 90.19\ngini = 0.48\nsamples = 5\nvalue = [2, 3]", fillcolor="#bddef6"] ;
238 -> 240 ;
241 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
240 -> 241 ;
242 [label="gini = 0.0\nsamples = 3\nvalue = [0, 3]", fillcolor="#399de5"] ;
240 -> 242 ;
243 [label="gini = 0.0\nsamples = 12\nvalue = [12, 0]", fillcolor="#e58139"] ;
237 -> 243 ;
244 [label="avg_glucose_level <= 83.18\ngini = 0.469\nsamples = 16\nvalue = [10, 6]", fillcolor="#f5cdb0"] ;
236 -> 244 ;
245 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
244 -> 245 ;
246 [label="bmi <= 26.95\ngini = 0.408\nsamples = 14\nvalue = [10, 4]", fillcolor="#efb388"] ;
244 -> 246 ;
247 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
246 -> 247 ;
248 [label="age <= 71.5\ngini = 0.278\nsamples = 12\nvalue = [10, 2]", fillcolor="#ea9a61"] ;
246 -> 248 ;
249 [label="hypertension <= 0.5\ngini = 0.165\nsamples = 11\nvalue = [10, 1]", fillcolor="#e88e4d"] ;
248 -> 249 ;
250 [label="gini = 0.0\nsamples = 9\nvalue = [9, 0]", fillcolor="#e58139"] ;
249 -> 250 ;
251 [label="avg_glucose_level <= 166.86\ngini = 0.5\nsamples = 2\nvalue = [1, 1]", fillcolor="#ffffff"] ;
249 -> 251 ;
252 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
251 -> 252 ;
253 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
251 -> 253 ;
254 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
248 -> 254 ;
255 [label="smoking_status_smokes <= 0.5\ngini = 0.124\nsamples = 15\nvalue = [14, 1]", fillcolor="#e78a47"] ;
235 -> 255 ;
256 [label="gini = 0.0\nsamples = 13\nvalue = [13, 0]", fillcolor="#e58139"] ;
255 -> 256 ;
257 [label="avg_glucose_level <= 82.305\ngini = 0.5\nsamples = 2\nvalue = [1, 1]", fillcolor="#ffffff"] ;
255 -> 257 ;
258 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
257 -> 258 ;
259 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
257 -> 259 ;
260 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
232 -> 260 ;
261 [label="work_type_Private <= 0.5\ngini = 0.356\nsamples = 237\nvalue = [182, 55]", fillcolor="#eda775"] ;
207 -> 261 ;
262 [label="bmi <= 17.6\ngini = 0.296\nsamples = 133\nvalue = [109, 24]", fillcolor="#eb9d65"] ;
261 -> 262 ;
263 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
262 -> 263 ;
264 [label="bmi <= 29.25\ngini = 0.288\nsamples = 132\nvalue = [109, 23]", fillcolor="#ea9c63"] ;
262 -> 264 ;
265 [label="bmi <= 26.15\ngini = 0.279\nsamples = 131\nvalue = [109, 22]", fillcolor="#ea9a61"] ;
264 -> 265 ;
266 [label="age <= 79.5\ngini = 0.187\nsamples = 67\nvalue = [60, 7]", fillcolor="#e89050"] ;
265 -> 266 ;
267 [label="avg_glucose_level <= 132.52\ngini = 0.089\nsamples = 43\nvalue = [41, 2]", fillcolor="#e68743"] ;
266 -> 267 ;
268 [label="gini = 0.0\nsamples = 32\nvalue = [32, 0]", fillcolor="#e58139"] ;
267 -> 268 ;
269 [label="avg_glucose_level <= 182.725\ngini = 0.298\nsamples = 11\nvalue = [9, 2]", fillcolor="#eb9d65"] ;
267 -> 269 ;
270 [label="heart_disease <= 0.5\ngini = 0.444\nsamples = 3\nvalue = [1, 2]", fillcolor="#9ccef2"] ;
269 -> 270 ;
271 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
270 -> 271 ;
272 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
270 -> 272 ;
273 [label="gini = 0.0\nsamples = 8\nvalue = [8, 0]", fillcolor="#e58139"] ;
269 -> 273 ;
274 [label="smoking_status_never smoked <= 0.5\ngini = 0.33\nsamples = 24\nvalue = [19, 5]", fillcolor="#eca26d"] ;
266 -> 274 ;
275 [label="bmi <= 19.6\ngini = 0.153\nsamples = 12\nvalue = [11, 1]", fillcolor="#e78c4b"] ;
274 -> 275 ;
276 [label="smoking_status_Unknown <= 0.5\ngini = 0.5\nsamples = 2\nvalue = [1, 1]", fillcolor="#ffffff"] ;
275 -> 276 ;
277 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
276 -> 277 ;
278 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
276 -> 278 ;
279 [label="gini = 0.0\nsamples = 10\nvalue = [10, 0]", fillcolor="#e58139"] ;
275 -> 279 ;
280 [label="gender <= 0.5\ngini = 0.444\nsamples = 12\nvalue = [8, 4]", fillcolor="#f2c09c"] ;
274 -> 280 ;
281 [label="avg_glucose_level <= 80.215\ngini = 0.444\nsamples = 3\nvalue = [1, 2]", fillcolor="#9ccef2"] ;
280 -> 281 ;
282 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
281 -> 282 ;
283 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
281 -> 283 ;
284 [label="avg_glucose_level <= 99.72\ngini = 0.346\nsamples = 9\nvalue = [7, 2]", fillcolor="#eca572"] ;
280 -> 284 ;
285 [label="avg_glucose_level <= 89.025\ngini = 0.444\nsamples = 6\nvalue = [4, 2]", fillcolor="#f2c09c"] ;
284 -> 285 ;
286 [label="hypertension <= 0.5\ngini = 0.32\nsamples = 5\nvalue = [4, 1]", fillcolor="#eca06a"] ;
285 -> 286 ;
287 [label="gini = 0.0\nsamples = 4\nvalue = [4, 0]", fillcolor="#e58139"] ;
286 -> 287 ;
288 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
286 -> 288 ;
289 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
285 -> 289 ;
290 [label="gini = 0.0\nsamples = 3\nvalue = [3, 0]", fillcolor="#e58139"] ;
284 -> 290 ;
291 [label="bmi <= 27.15\ngini = 0.359\nsamples = 64\nvalue = [49, 15]", fillcolor="#eda876"] ;
265 -> 291 ;
292 [label="age <= 80.5\ngini = 0.488\nsamples = 19\nvalue = [11, 8]", fillcolor="#f8ddc9"] ;
291 -> 292 ;
293 [label="avg_glucose_level <= 79.015\ngini = 0.498\nsamples = 15\nvalue = [7, 8]", fillcolor="#e6f3fc"] ;
292 -> 293 ;
294 [label="gini = 0.0\nsamples = 3\nvalue = [0, 3]", fillcolor="#399de5"] ;
293 -> 294 ;
295 [label="Residence_type_Urban <= 0.5\ngini = 0.486\nsamples = 12\nvalue = [7, 5]", fillcolor="#f8dbc6"] ;
293 -> 295 ;
296 [label="hypertension <= 0.5\ngini = 0.278\nsamples = 6\nvalue = [5, 1]", fillcolor="#ea9a61"] ;
295 -> 296 ;
297 [label="gini = 0.0\nsamples = 5\nvalue = [5, 0]", fillcolor="#e58139"] ;
296 -> 297 ;
298 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
296 -> 298 ;
299 [label="smoking_status_smokes <= 0.5\ngini = 0.444\nsamples = 6\nvalue = [2, 4]", fillcolor="#9ccef2"] ;
295 -> 299 ;
300 [label="gini = 0.0\nsamples = 4\nvalue = [0, 4]", fillcolor="#399de5"] ;
299 -> 300 ;
301 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
299 -> 301 ;
302 [label="gini = 0.0\nsamples = 4\nvalue = [4, 0]", fillcolor="#e58139"] ;
292 -> 302 ;
303 [label="avg_glucose_level <= 62.88\ngini = 0.263\nsamples = 45\nvalue = [38, 7]", fillcolor="#ea985d"] ;
291 -> 303 ;
304 [label="age <= 76.5\ngini = 0.5\nsamples = 6\nvalue = [3, 3]", fillcolor="#ffffff"] ;
303 -> 304 ;
305 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
304 -> 305 ;
306 [label="heart_disease <= 0.5\ngini = 0.375\nsamples = 4\nvalue = [3, 1]", fillcolor="#eeab7b"] ;
304 -> 306 ;
307 [label="gini = 0.0\nsamples = 3\nvalue = [3, 0]", fillcolor="#e58139"] ;
306 -> 307 ;
308 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
306 -> 308 ;
309 [label="avg_glucose_level <= 92.78\ngini = 0.184\nsamples = 39\nvalue = [35, 4]", fillcolor="#e88f50"] ;
303 -> 309 ;
310 [label="gini = 0.0\nsamples = 19\nvalue = [19, 0]", fillcolor="#e58139"] ;
309 -> 310 ;
311 [label="bmi <= 29.15\ngini = 0.32\nsamples = 20\nvalue = [16, 4]", fillcolor="#eca06a"] ;
309 -> 311 ;
312 [label="gender <= 0.5\ngini = 0.266\nsamples = 19\nvalue = [16, 3]", fillcolor="#ea995e"] ;
311 -> 312 ;
313 [label="gini = 0.0\nsamples = 10\nvalue = [10, 0]", fillcolor="#e58139"] ;
312 -> 313 ;
314 [label="smoking_status_formerly smoked <= 0.5\ngini = 0.444\nsamples = 9\nvalue = [6, 3]", fillcolor="#f2c09c"] ;
312 -> 314 ;
315 [label="age <= 75.5\ngini = 0.245\nsamples = 7\nvalue = [6, 1]", fillcolor="#e9965a"] ;
314 -> 315 ;
316 [label="heart_disease <= 0.5\ngini = 0.5\nsamples = 2\nvalue = [1, 1]", fillcolor="#ffffff"] ;
315 -> 316 ;
317 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
316 -> 317 ;
318 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
316 -> 318 ;
319 [label="gini = 0.0\nsamples = 5\nvalue = [5, 0]", fillcolor="#e58139"] ;
315 -> 319 ;
320 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
314 -> 320 ;
321 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
311 -> 321 ;
322 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
264 -> 322 ;
323 [label="smoking_status_Unknown <= 0.5\ngini = 0.418\nsamples = 104\nvalue = [73, 31]", fillcolor="#f0b78d"] ;
261 -> 323 ;
324 [label="hypertension <= 0.5\ngini = 0.378\nsamples = 79\nvalue = [59, 20]", fillcolor="#eeac7c"] ;
323 -> 324 ;
325 [label="age <= 78.5\ngini = 0.312\nsamples = 62\nvalue = [50, 12]", fillcolor="#eb9f69"] ;
324 -> 325 ;
326 [label="avg_glucose_level <= 61.6\ngini = 0.137\nsamples = 27\nvalue = [25, 2]", fillcolor="#e78b49"] ;
325 -> 326 ;
327 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
326 -> 327 ;
328 [label="bmi <= 24.15\ngini = 0.074\nsamples = 26\nvalue = [25, 1]", fillcolor="#e68641"] ;
326 -> 328 ;
329 [label="smoking_status_never smoked <= 0.5\ngini = 0.444\nsamples = 3\nvalue = [2, 1]", fillcolor="#f2c09c"] ;
328 -> 329 ;
330 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
329 -> 330 ;
331 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
329 -> 331 ;
332 [label="gini = 0.0\nsamples = 23\nvalue = [23, 0]", fillcolor="#e58139"] ;
328 -> 332 ;
333 [label="avg_glucose_level <= 107.125\ngini = 0.408\nsamples = 35\nvalue = [25, 10]", fillcolor="#efb388"] ;
325 -> 333 ;
334 [label="smoking_status_never smoked <= 0.5\ngini = 0.227\nsamples = 23\nvalue = [20, 3]", fillcolor="#e99457"] ;
333 -> 334 ;
335 [label="gini = 0.0\nsamples = 11\nvalue = [11, 0]", fillcolor="#e58139"] ;
334 -> 335 ;
336 [label="age <= 79.5\ngini = 0.375\nsamples = 12\nvalue = [9, 3]", fillcolor="#eeab7b"] ;
334 -> 336 ;
337 [label="heart_disease <= 0.5\ngini = 0.5\nsamples = 4\nvalue = [2, 2]", fillcolor="#ffffff"] ;
336 -> 337 ;
338 [label="avg_glucose_level <= 71.035\ngini = 0.444\nsamples = 3\nvalue = [1, 2]", fillcolor="#9ccef2"] ;
337 -> 338 ;
339 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
338 -> 339 ;
340 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
338 -> 340 ;
341 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
337 -> 341 ;
342 [label="bmi <= 26.5\ngini = 0.219\nsamples = 8\nvalue = [7, 1]", fillcolor="#e99355"] ;
336 -> 342 ;
343 [label="avg_glucose_level <= 82.885\ngini = 0.444\nsamples = 3\nvalue = [2, 1]", fillcolor="#f2c09c"] ;
342 -> 343 ;
344 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
343 -> 344 ;
345 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
343 -> 345 ;
346 [label="gini = 0.0\nsamples = 5\nvalue = [5, 0]", fillcolor="#e58139"] ;
342 -> 346 ;
347 [label="ever_married <= 0.5\ngini = 0.486\nsamples = 12\nvalue = [5, 7]", fillcolor="#c6e3f8"] ;
333 -> 347 ;
348 [label="gini = 0.0\nsamples = 3\nvalue = [3, 0]", fillcolor="#e58139"] ;
347 -> 348 ;
349 [label="smoking_status_never smoked <= 0.5\ngini = 0.346\nsamples = 9\nvalue = [2, 7]", fillcolor="#72b9ec"] ;
347 -> 349 ;
350 [label="gini = 0.0\nsamples = 4\nvalue = [0, 4]", fillcolor="#399de5"] ;
349 -> 350 ;
351 [label="heart_disease <= 0.5\ngini = 0.48\nsamples = 5\nvalue = [2, 3]", fillcolor="#bddef6"] ;
349 -> 351 ;
352 [label="age <= 80.5\ngini = 0.444\nsamples = 3\nvalue = [2, 1]", fillcolor="#f2c09c"] ;
351 -> 352 ;
353 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
352 -> 353 ;
354 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
352 -> 354 ;
355 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
351 -> 355 ;
356 [label="avg_glucose_level <= 82.24\ngini = 0.498\nsamples = 17\nvalue = [9, 8]", fillcolor="#fcf1e9"] ;
324 -> 356 ;
357 [label="avg_glucose_level <= 64.685\ngini = 0.408\nsamples = 7\nvalue = [2, 5]", fillcolor="#88c4ef"] ;
356 -> 357 ;
358 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
357 -> 358 ;
359 [label="gini = 0.0\nsamples = 5\nvalue = [0, 5]", fillcolor="#399de5"] ;
357 -> 359 ;
360 [label="avg_glucose_level <= 237.3\ngini = 0.42\nsamples = 10\nvalue = [7, 3]", fillcolor="#f0b78e"] ;
356 -> 360 ;
361 [label="ever_married <= 0.5\ngini = 0.219\nsamples = 8\nvalue = [7, 1]", fillcolor="#e99355"] ;
360 -> 361 ;
362 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
361 -> 362 ;
363 [label="gini = 0.0\nsamples = 7\nvalue = [7, 0]", fillcolor="#e58139"] ;
361 -> 363 ;
364 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
360 -> 364 ;
365 [label="Residence_type_Urban <= 0.5\ngini = 0.493\nsamples = 25\nvalue = [14, 11]", fillcolor="#f9e4d5"] ;
323 -> 365 ;
366 [label="avg_glucose_level <= 151.4\ngini = 0.375\nsamples = 12\nvalue = [9, 3]", fillcolor="#eeab7b"] ;
365 -> 366 ;
367 [label="bmi <= 20.8\ngini = 0.18\nsamples = 10\nvalue = [9, 1]", fillcolor="#e88f4f"] ;
366 -> 367 ;
368 [label="avg_glucose_level <= 87.09\ngini = 0.5\nsamples = 2\nvalue = [1, 1]", fillcolor="#ffffff"] ;
367 -> 368 ;
369 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
368 -> 369 ;
370 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
368 -> 370 ;
371 [label="gini = 0.0\nsamples = 8\nvalue = [8, 0]", fillcolor="#e58139"] ;
367 -> 371 ;
372 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
366 -> 372 ;
373 [label="bmi <= 23.8\ngini = 0.473\nsamples = 13\nvalue = [5, 8]", fillcolor="#b5daf5"] ;
365 -> 373 ;
374 [label="gender <= 0.5\ngini = 0.375\nsamples = 4\nvalue = [3, 1]", fillcolor="#eeab7b"] ;
373 -> 374 ;
375 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
374 -> 375 ;
376 [label="gini = 0.0\nsamples = 3\nvalue = [3, 0]", fillcolor="#e58139"] ;
374 -> 376 ;
377 [label="heart_disease <= 0.5\ngini = 0.346\nsamples = 9\nvalue = [2, 7]", fillcolor="#72b9ec"] ;
373 -> 377 ;
378 [label="avg_glucose_level <= 66.515\ngini = 0.219\nsamples = 8\nvalue = [1, 7]", fillcolor="#55abe9"] ;
377 -> 378 ;
379 [label="avg_glucose_level <= 59.03\ngini = 0.5\nsamples = 2\nvalue = [1, 1]", fillcolor="#ffffff"] ;
378 -> 379 ;
380 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
379 -> 380 ;
381 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
379 -> 381 ;
382 [label="gini = 0.0\nsamples = 6\nvalue = [0, 6]", fillcolor="#399de5"] ;
378 -> 382 ;
383 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
377 -> 383 ;
384 [label="avg_glucose_level <= 219.865\ngini = 0.191\nsamples = 300\nvalue = [268, 32]", fillcolor="#e89051"] ;
206 -> 384 ;
385 [label="hypertension <= 0.5\ngini = 0.145\nsamples = 255\nvalue = [235, 20]", fillcolor="#e78c4a"] ;
384 -> 385 ;
386 [label="age <= 76.5\ngini = 0.099\nsamples = 192\nvalue = [182, 10]", fillcolor="#e68844"] ;
385 -> 386 ;
387 [label="smoking_status_smokes <= 0.5\ngini = 0.017\nsamples = 114\nvalue = [113, 1]", fillcolor="#e5823b"] ;
386 -> 387 ;
388 [label="gini = 0.0\nsamples = 95\nvalue = [95, 0]", fillcolor="#e58139"] ;
387 -> 388 ;
389 [label="age <= 73.0\ngini = 0.1\nsamples = 19\nvalue = [18, 1]", fillcolor="#e68844"] ;
387 -> 389 ;
390 [label="gini = 0.0\nsamples = 16\nvalue = [16, 0]", fillcolor="#e58139"] ;
389 -> 390 ;
391 [label="work_type_Private <= 0.5\ngini = 0.444\nsamples = 3\nvalue = [2, 1]", fillcolor="#f2c09c"] ;
389 -> 391 ;
392 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
391 -> 392 ;
393 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
391 -> 393 ;
394 [label="bmi <= 43.15\ngini = 0.204\nsamples = 78\nvalue = [69, 9]", fillcolor="#e89153"] ;
386 -> 394 ;
395 [label="bmi <= 34.15\ngini = 0.186\nsamples = 77\nvalue = [69, 8]", fillcolor="#e89050"] ;
394 -> 395 ;
396 [label="bmi <= 34.0\ngini = 0.245\nsamples = 56\nvalue = [48, 8]", fillcolor="#e9965a"] ;
395 -> 396 ;
397 [label="avg_glucose_level <= 85.775\ngini = 0.222\nsamples = 55\nvalue = [48, 7]", fillcolor="#e99356"] ;
396 -> 397 ;
398 [label="gini = 0.0\nsamples = 19\nvalue = [19, 0]", fillcolor="#e58139"] ;
397 -> 398 ;
399 [label="bmi <= 31.95\ngini = 0.313\nsamples = 36\nvalue = [29, 7]", fillcolor="#eb9f69"] ;
397 -> 399 ;
400 [label="avg_glucose_level <= 87.16\ngini = 0.147\nsamples = 25\nvalue = [23, 2]", fillcolor="#e78c4a"] ;
399 -> 400 ;
401 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
400 -> 401 ;
402 [label="age <= 78.5\ngini = 0.08\nsamples = 24\nvalue = [23, 1]", fillcolor="#e68642"] ;
400 -> 402 ;
403 [label="avg_glucose_level <= 106.92\ngini = 0.198\nsamples = 9\nvalue = [8, 1]", fillcolor="#e89152"] ;
402 -> 403 ;
404 [label="gini = 0.0\nsamples = 6\nvalue = [6, 0]", fillcolor="#e58139"] ;
403 -> 404 ;
405 [label="avg_glucose_level <= 155.525\ngini = 0.444\nsamples = 3\nvalue = [2, 1]", fillcolor="#f2c09c"] ;
403 -> 405 ;
406 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
405 -> 406 ;
407 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
405 -> 407 ;
408 [label="gini = 0.0\nsamples = 15\nvalue = [15, 0]", fillcolor="#e58139"] ;
402 -> 408 ;
409 [label="avg_glucose_level <= 111.015\ngini = 0.496\nsamples = 11\nvalue = [6, 5]", fillcolor="#fbeade"] ;
399 -> 409 ;
410 [label="avg_glucose_level <= 89.3\ngini = 0.32\nsamples = 5\nvalue = [1, 4]", fillcolor="#6ab6ec"] ;
409 -> 410 ;
411 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
410 -> 411 ;
412 [label="gini = 0.0\nsamples = 4\nvalue = [0, 4]", fillcolor="#399de5"] ;
410 -> 412 ;
413 [label="bmi <= 32.75\ngini = 0.278\nsamples = 6\nvalue = [5, 1]", fillcolor="#ea9a61"] ;
409 -> 413 ;
414 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
413 -> 414 ;
415 [label="gini = 0.0\nsamples = 5\nvalue = [5, 0]", fillcolor="#e58139"] ;
413 -> 415 ;
416 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
396 -> 416 ;
417 [label="gini = 0.0\nsamples = 21\nvalue = [21, 0]", fillcolor="#e58139"] ;
395 -> 417 ;
418 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
394 -> 418 ;
419 [label="ever_married <= 0.5\ngini = 0.267\nsamples = 63\nvalue = [53, 10]", fillcolor="#ea995e"] ;
385 -> 419 ;
420 [label="gender <= 0.5\ngini = 0.48\nsamples = 5\nvalue = [2, 3]", fillcolor="#bddef6"] ;
419 -> 420 ;
421 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
420 -> 421 ;
422 [label="gini = 0.0\nsamples = 3\nvalue = [0, 3]", fillcolor="#399de5"] ;
420 -> 422 ;
423 [label="avg_glucose_level <= 116.13\ngini = 0.212\nsamples = 58\nvalue = [51, 7]", fillcolor="#e99254"] ;
419 -> 423 ;
424 [label="age <= 79.5\ngini = 0.067\nsamples = 29\nvalue = [28, 1]", fillcolor="#e68640"] ;
423 -> 424 ;
425 [label="gini = 0.0\nsamples = 23\nvalue = [23, 0]", fillcolor="#e58139"] ;
424 -> 425 ;
426 [label="smoking_status_formerly smoked <= 0.5\ngini = 0.278\nsamples = 6\nvalue = [5, 1]", fillcolor="#ea9a61"] ;
424 -> 426 ;
427 [label="gini = 0.0\nsamples = 4\nvalue = [4, 0]", fillcolor="#e58139"] ;
426 -> 427 ;
428 [label="bmi <= 32.0\ngini = 0.5\nsamples = 2\nvalue = [1, 1]", fillcolor="#ffffff"] ;
426 -> 428 ;
429 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
428 -> 429 ;
430 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
428 -> 430 ;
431 [label="avg_glucose_level <= 199.87\ngini = 0.328\nsamples = 29\nvalue = [23, 6]", fillcolor="#eca26d"] ;
423 -> 431 ;
432 [label="work_type_Private <= 0.5\ngini = 0.49\nsamples = 14\nvalue = [8, 6]", fillcolor="#f8e0ce"] ;
431 -> 432 ;
433 [label="bmi <= 33.0\ngini = 0.444\nsamples = 6\nvalue = [2, 4]", fillcolor="#9ccef2"] ;
432 -> 433 ;
434 [label="gini = 0.0\nsamples = 3\nvalue = [0, 3]", fillcolor="#399de5"] ;
433 -> 434 ;
435 [label="gender <= 0.5\ngini = 0.444\nsamples = 3\nvalue = [2, 1]", fillcolor="#f2c09c"] ;
433 -> 435 ;
436 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
435 -> 436 ;
437 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
435 -> 437 ;
438 [label="avg_glucose_level <= 192.38\ngini = 0.375\nsamples = 8\nvalue = [6, 2]", fillcolor="#eeab7b"] ;
432 -> 438 ;
439 [label="avg_glucose_level <= 170.03\ngini = 0.5\nsamples = 4\nvalue = [2, 2]", fillcolor="#ffffff"] ;
438 -> 439 ;
440 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
439 -> 440 ;
441 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
439 -> 441 ;
442 [label="gini = 0.0\nsamples = 4\nvalue = [4, 0]", fillcolor="#e58139"] ;
438 -> 442 ;
443 [label="gini = 0.0\nsamples = 15\nvalue = [15, 0]", fillcolor="#e58139"] ;
431 -> 443 ;
444 [label="work_type_Private <= 0.5\ngini = 0.391\nsamples = 45\nvalue = [33, 12]", fillcolor="#eeaf81"] ;
384 -> 444 ;
445 [label="avg_glucose_level <= 252.09\ngini = 0.142\nsamples = 13\nvalue = [12, 1]", fillcolor="#e78c49"] ;
444 -> 445 ;
446 [label="gini = 0.0\nsamples = 12\nvalue = [12, 0]", fillcolor="#e58139"] ;
445 -> 446 ;
447 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
445 -> 447 ;
448 [label="bmi <= 31.65\ngini = 0.451\nsamples = 32\nvalue = [21, 11]", fillcolor="#f3c3a1"] ;
444 -> 448 ;
449 [label="gini = 0.0\nsamples = 6\nvalue = [6, 0]", fillcolor="#e58139"] ;
448 -> 449 ;
450 [label="bmi <= 32.4\ngini = 0.488\nsamples = 26\nvalue = [15, 11]", fillcolor="#f8ddca"] ;
448 -> 450 ;
451 [label="hypertension <= 0.5\ngini = 0.32\nsamples = 5\nvalue = [1, 4]", fillcolor="#6ab6ec"] ;
450 -> 451 ;
452 [label="gini = 0.0\nsamples = 4\nvalue = [0, 4]", fillcolor="#399de5"] ;
451 -> 452 ;
453 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
451 -> 453 ;
454 [label="bmi <= 33.55\ngini = 0.444\nsamples = 21\nvalue = [14, 7]", fillcolor="#f2c09c"] ;
450 -> 454 ;
455 [label="gini = 0.0\nsamples = 6\nvalue = [6, 0]", fillcolor="#e58139"] ;
454 -> 455 ;
456 [label="age <= 66.5\ngini = 0.498\nsamples = 15\nvalue = [8, 7]", fillcolor="#fcefe6"] ;
454 -> 456 ;
457 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
456 -> 457 ;
458 [label="age <= 77.5\ngini = 0.497\nsamples = 13\nvalue = [6, 7]", fillcolor="#e3f1fb"] ;
456 -> 458 ;
459 [label="heart_disease <= 0.5\ngini = 0.463\nsamples = 11\nvalue = [4, 7]", fillcolor="#aad5f4"] ;
458 -> 459 ;
460 [label="hypertension <= 0.5\ngini = 0.494\nsamples = 9\nvalue = [4, 5]", fillcolor="#d7ebfa"] ;
459 -> 460 ;
461 [label="age <= 74.5\ngini = 0.49\nsamples = 7\nvalue = [4, 3]", fillcolor="#f8e0ce"] ;
460 -> 461 ;
462 [label="age <= 69.0\ngini = 0.48\nsamples = 5\nvalue = [2, 3]", fillcolor="#bddef6"] ;
461 -> 462 ;
463 [label="age <= 67.5\ngini = 0.444\nsamples = 3\nvalue = [2, 1]", fillcolor="#f2c09c"] ;
462 -> 463 ;
464 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
463 -> 464 ;
465 [label="bmi <= 43.15\ngini = 0.5\nsamples = 2\nvalue = [1, 1]", fillcolor="#ffffff"] ;
463 -> 465 ;
466 [label="gini = 0.0\nsamples = 1\nvalue = [0, 1]", fillcolor="#399de5"] ;
465 -> 466 ;
467 [label="gini = 0.0\nsamples = 1\nvalue = [1, 0]", fillcolor="#e58139"] ;
465 -> 467 ;
468 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
462 -> 468 ;
469 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
461 -> 469 ;
470 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
460 -> 470 ;
471 [label="gini = 0.0\nsamples = 2\nvalue = [0, 2]", fillcolor="#399de5"] ;
459 -> 471 ;
472 [label="gini = 0.0\nsamples = 2\nvalue = [2, 0]", fillcolor="#e58139"] ;
458 -> 472 ;
}