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Loading packages & dataset





In [1]:



    


from datetime import datetime
from time import time
import numpy as np
import matplotlib.pyplot as plt
%matplotlib inline 
import scipy
import statsmodels
import patsy
import kaggleaux as ka
import pandas as pd
import zipfile



    


















    






C:\Users\linghao\Anaconda2\lib\site-packages\pandas\io\data.py:33: FutureWarning: 
The pandas.io.data module is moved to a separate package (pandas-datareader) and will be removed from pandas in a future version.
After installing the pandas-datareader package (https://github.com/pydata/pandas-datareader), you can change the import ``from pandas.io import data, wb`` to ``from pandas_datareader import data, wb``.
  FutureWarning)

















In [27]:



    


z = zipfile.ZipFile('train.csv.zip')
trainDF = pd.read_csv(z.open('train.csv'))

Scaling X, Y axes





In [3]:



    


from sklearn import preprocessing
xy_scaler = preprocessing.StandardScaler()
xy_scaler.fit(trainDF[['X', 'Y']])



    


















    
Out[3]:








StandardScaler(copy=True, with_mean=True, with_std=True)

















In [4]:



    


trainDF[['X', 'Y']] = xy_scaler.transform(trainDF[['X', 'Y']])



    











In [5]:



    


plt.plot(trainDF['X'], trainDF['Y'], '.')
plt.show()

We can see that there are some erroneous y values. Drop them.





In [5]:



    


trainDF = trainDF[abs(trainDF['Y'])<100]



    











In [7]:



    


plt.plot(trainDF['X'], trainDF['Y'], '.')
plt.show()



    


















    
























In [42]:



    


groups = trainDF.groupby('Category')

Visualizations for analysis

Extract featrues





In [22]:



    


def parse_data(df, drop_list):
    feature_list = df.columns.tolist()
    for feature in drop_list:
        feature_list.remove(feature)
    ndf = df[feature_list]
    features = ndf
    labels = df['Category'].astype('category')
    return features, labels



    











In [17]:



    


def make_features(df):
    PdDistrict_dummies = pd.get_dummies(df['PdDistrict'], prefix='PdDistrict')
    df.drop(['PdDistrict'], axis=1, inplace=True)
    df = df.join(PdDistrict_dummies)
    DayOfWeek_dummies = pd.get_dummies(df['DayOfWeek'], prefix='DayOfWeek')
    df.drop(['DayOfWeek'], axis=1, inplace=True)
    df = df.join(DayOfWeek_dummies)
    return df



    











In [32]:



    


features, labels = parse_data(trainDF, ['Category', 'Resolution', 'Descript', 'Address', 'Dates'])
trainX = make_features(features)



    


















    






c:\python27\lib\site-packages\ipykernel\__main__.py:3: SettingWithCopyWarning: 
A value is trying to be set on a copy of a slice from a DataFrame

See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy
  app.launch_new_instance()

















In [17]:



    


per = range(len(trainDF))



    











In [18]:



    


np.random.shuffle(per)



    











In [28]:



    


trainDF = trainDF[['DayOfWeek']]



    











In [16]:



    


per



    











In [30]:



    


trainDF = trainDF.iloc[per,:]



    











In [31]:



    


trainDF.head(3)



    


















    
Out[31]:










  
    

      
      DayOfWeek
    

  
  
    

      262468
      Saturday
    

    

      217465
      Sunday
    

    

      223264
      Friday
    

  




















In [32]:



    


DayOfWeek_dummies = pd.get_dummies(trainDF['DayOfWeek'], prefix='DayOfWeek')
trainDF.drop(['DayOfWeek'], axis=1, inplace=True)
trainDF = trainDF.join(DayOfWeek_dummies)



    











In [34]:



    


trainDF.columns.tolist()



    


















    
Out[34]:








['DayOfWeek_Friday',
 'DayOfWeek_Monday',
 'DayOfWeek_Saturday',
 'DayOfWeek_Sunday',
 'DayOfWeek_Thursday',
 'DayOfWeek_Tuesday',
 'DayOfWeek_Wednesday']

















In [33]:



    


trainDF.head(3)



    


















    
Out[33]:










  
    

      
      DayOfWeek_Friday
      DayOfWeek_Monday
      DayOfWeek_Saturday
      DayOfWeek_Sunday
      DayOfWeek_Thursday
      DayOfWeek_Tuesday
      DayOfWeek_Wednesday
    

  
  
    

      262468
      0
      0
      1
      0
      0
      0
      0
    

    

      217465
      0
      0
      0
      1
      0
      0
      0
    

    

      223264
      1
      0
      0
      0
      0
      0
      0
    

  




















In [33]:



    


trainX.columns.tolist()



    


















    
Out[33]:








['X',
 'Y',
 'PdDistrict_BAYVIEW',
 'PdDistrict_CENTRAL',
 'PdDistrict_INGLESIDE',
 'PdDistrict_MISSION',
 'PdDistrict_NORTHERN',
 'PdDistrict_PARK',
 'PdDistrict_RICHMOND',
 'PdDistrict_SOUTHERN',
 'PdDistrict_TARAVAL',
 'PdDistrict_TENDERLOIN',
 'DayOfWeek_Friday',
 'DayOfWeek_Monday',
 'DayOfWeek_Saturday',
 'DayOfWeek_Sunday',
 'DayOfWeek_Thursday',
 'DayOfWeek_Tuesday',
 'DayOfWeek_Wednesday']

















In [29]:



    


trainY = labels

Multinomial Logistic Regression





In [27]:



    


from sklearn.linear_model import LogisticRegression
model  = LogisticRegression(solver='lbfgs', multi_class='ovr')



    











In [34]:



    


model.fit(trainX, trainY)



    


















    
Out[34]:








LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,
          intercept_scaling=1, max_iter=100, multi_class='ovr',
          penalty='l2', random_state=None, solver='lbfgs', tol=0.0001,
          verbose=0)

















In [39]:



    


model.predict(trainX[:1000])



    


















    
Out[39]:








array(['LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'DRUG/NARCOTIC', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'DRUG/NARCOTIC', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'DRUG/NARCOTIC', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'DRUG/NARCOTIC', 'DRUG/NARCOTIC', 'LARCENY/THEFT',
       'DRUG/NARCOTIC', 'LARCENY/THEFT', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'DRUG/NARCOTIC', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES', 'DRUG/NARCOTIC',
       'DRUG/NARCOTIC', 'DRUG/NARCOTIC', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'DRUG/NARCOTIC', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'DRUG/NARCOTIC', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'DRUG/NARCOTIC', 'DRUG/NARCOTIC',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'DRUG/NARCOTIC', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'DRUG/NARCOTIC', 'OTHER OFFENSES', 'DRUG/NARCOTIC',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES', 'DRUG/NARCOTIC',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'DRUG/NARCOTIC',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES', 'DRUG/NARCOTIC',
       'LARCENY/THEFT', 'DRUG/NARCOTIC', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'DRUG/NARCOTIC', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'DRUG/NARCOTIC',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'DRUG/NARCOTIC', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'DRUG/NARCOTIC', 'LARCENY/THEFT', 'DRUG/NARCOTIC', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'DRUG/NARCOTIC', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES', 'DRUG/NARCOTIC',
       'DRUG/NARCOTIC', 'OTHER OFFENSES', 'LARCENY/THEFT', 'DRUG/NARCOTIC',
       'DRUG/NARCOTIC', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'DRUG/NARCOTIC', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'DRUG/NARCOTIC', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'DRUG/NARCOTIC', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'DRUG/NARCOTIC',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'DRUG/NARCOTIC', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'DRUG/NARCOTIC', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'DRUG/NARCOTIC', 'DRUG/NARCOTIC',
       'DRUG/NARCOTIC', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'DRUG/NARCOTIC', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'DRUG/NARCOTIC', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'DRUG/NARCOTIC', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'DRUG/NARCOTIC', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES', 'DRUG/NARCOTIC',
       'DRUG/NARCOTIC', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'DRUG/NARCOTIC', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'DRUG/NARCOTIC', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'DRUG/NARCOTIC', 'DRUG/NARCOTIC',
       'DRUG/NARCOTIC', 'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES', 'DRUG/NARCOTIC',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT', 'DRUG/NARCOTIC',
       'DRUG/NARCOTIC', 'DRUG/NARCOTIC', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT', 'DRUG/NARCOTIC',
       'DRUG/NARCOTIC', 'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'DRUG/NARCOTIC', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'DRUG/NARCOTIC', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'DRUG/NARCOTIC', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'DRUG/NARCOTIC', 'DRUG/NARCOTIC',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'DRUG/NARCOTIC', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT', 'DRUG/NARCOTIC',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'DRUG/NARCOTIC',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'DRUG/NARCOTIC', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'OTHER OFFENSES',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES', 'DRUG/NARCOTIC',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'OTHER OFFENSES', 'DRUG/NARCOTIC', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'OTHER OFFENSES', 'OTHER OFFENSES', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT',
       'LARCENY/THEFT', 'LARCENY/THEFT', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'OTHER OFFENSES', 'LARCENY/THEFT', 'OTHER OFFENSES',
       'OTHER OFFENSES'], dtype=object)

















In [40]:



    


del model

Random Forest





In [35]:



    


from sklearn.ensemble import RandomForestClassifier

Content source: dnc1994/Kaggle-Playground

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