Delete Side effect detection

Side effect detection

-import pandas as pd
-
-dataset=pd.read_csv('data set 1 - Copy.csv').values
-
-data=dataset[:,0:5]/1000
-target=dataset[:,5]
-
-
-from sklearn.model_selection import train_test_split
-
-train_data,test_data,train_target,test_target=train_test_split(data,target,test_size=0.2)
-
-from sklearn.neighbors import KNeighborsClassifier
-#from sklearn.svm import SVC
-
-model=KNeighborsClassifier()
-#model=SVC(kernel='rbf')
-
-model.fit(train_data,train_target)
-
-results=model.predict(test_data)
-
-from sklearn.metrics import accuracy_score
-
-acc=accuracy_score(test_target,results)
-
-print('acc:',acc)
-print('actual results:',test_target)
-print('predicted results:',results)