diff --git a/Python/rough-sanket.py b/Python/rough-sanket.py
index 80900d6..6860b55 100644
--- a/Python/rough-sanket.py
+++ b/Python/rough-sanket.py
@@ -78,4 +78,15 @@ def plotCorrMatrix(data,title='Continuous Feature Correlation Figure 1'):
 
 original_pca = pd.read_csv('data/pca_data.csv')
 
-exp_variance = list(pca.explained_variance_ratio_)
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+exp_variance = list(pca.explained_variance_ratio_)
+
+# Try random forest and other classification techniques like SVM
+from sklearn.ensemble import RandomForestClassifier
+from sklearn.model_selection import cross_val_score
+import pandas as pd
+import numpy as np
+
+training_data = pd.read_csv('../data/pca_data.csv')
+rf = RandomForestClassifier(n_estimators = 10, n_jobs=-1)
+scores = cross_val_score(rf, training_data.iloc[:,:-1], training_data.iloc[:,-1], cv = 10)
+print scores
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