Pizza

import pandas as pd
import numpy as np
from sklearn.ensemble import RandomForestClassifier

train = pd.read_json('train.json')
test = pd.read_json('test.json')
y = train.requester_received_pizza
ids = test.request_id
string_columns = [column for dtype, column in zip(list(test.dtypes), list(test.dtypes.index))
                  if dtype == np.dtype('O')]

test.drop(string_columns, inplace=True, axis=1)
train = train[test.columns]
clf = RandomForestClassifier(n_estimators=1000)
clf.fit(train.values, y)
predictions = clf.predict_proba(test.values)
pd.Series(predictions[:, 1], index=ids, name='requester_received_pizza').to_csv('res.csv', header=True)