Kaggle competition with the best team in BYU
#import statements import csv as csv import numpy as np import pandas from sklearn.ensemble import RandomForestClassifier
def cleanData(data): data = data.drop([],1) data.fillna(data.mean(), inplace=True)
return data
data = panda.read_csv("train_1.csv") data = cleanData(data)
target = data.target train = data[data.columns[2:]]
forest = RandomForestClassifier(200) forest.fit(train.iloc[:],target.iloc)
test = test_data[test_data.columns[1:]]
prediction = forest.predict_proba(test.iloc[:])
result = prediction[:,1]
output = pandas.DataFrame(result)