text_plain_output_1.png
from sklearn.svm import SVC

import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

train = pd.read_csv('../input/train.csv')

model = SVC(gamma='auto')

features = list(train.columns)

features.remove('label')

model.fit(train_df[features], train_df['label'])

model.score(valid_df[features], valid_df['label'])