--- a
+++ b/ispy1/run_tree.py
@@ -0,0 +1,17 @@
+from keras.models import Sequential
+from keras.layers import Dense, Activation
+from keras import optimizers
+
+import numpy as np
+from dataloader import *
+
+np.set_printoptions(threshold = np.nan)
+trainX, trainY, testX, testY = import_data()
+
+from sklearn.ensemble import RandomForestClassifier
+from sklearn import metrics
+
+clf = RandomForestClassifier( n_estimators=20)
+clf.fit (trainX, trainY)
+
+yhat = clf.predict(testX)