说明
正确率：94.014%，没有KNN效果好（96.800%），个人估计经过调参效果应该有所提升
代码
import pandas
as pd
data = pd.read_csv(
"train.csv")
data.head()
dataset = data.iloc[:,
1:]
dataset.head()
label = data.iloc[:,
0]
label.head()
dataset.describe()
label.describe()
from sklearn.ensemble
import RandomForestClassifier
rf = RandomForestClassifier(oob_score=
True,random_state=
10)
rf.fit(dataset, label)
test = pd.read_csv(
"test.csv")
pred = rf.predict(test)
import numpy
as np
a = pd.Series(pred)
b = pd.Series(np.arange(
1,
28000))
c = pd.DataFrame([a,b])
d = pd.DataFrame(c.T)
d.to_csv(
"result.csv")
