ranfor.py

import pandas as pd
import numpy as np
from sklearn import svm
from sklearn.ensemble import RandomForestClassifier
from sklearn.cross_validation import train_test_split
from sklearn.decomposition import PCA
import pickle

train1 = pd.read_csv('inl1.csv')
train2 = pd.read_csv('inr1.csv')

lis = []
for x in train2:
    train1[x]=train2[x]

train =train1
labs = pd.read_csv('out.csv')
print train.shape
print labs.shape

clf = RandomForestClassifier()
trainx,testx,trainy,testy = train_test_split(train,labs,train_size = 0.6,random_state =1)
clf.fit(trainx,trainy)
print(clf.score(testx,testy))
filename = 'gaze_model.sav'
pickle.dump(clf, open(filename, 'wb'))