Random Forest.py

#!/usr/bin/env python
# coding: utf-8

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import pandas as pd
from sklearn.datasets import load_digits
digits = load_digits()


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dir(digits)


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import matplotlib.pyplot as plt
plt.gray()
for i in range(4):
    plt.matshow(digits.images[i])


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df = pd.DataFrame(digits.data)
df.head()


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df["targets"] = digits.target
df.head()


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from sklearn.model_selection import train_test_split
X_train, X_test, y_train, y_test = train_test_split(df.drop(['targets'], axis = "columns"), digits.target,test_size = 0.2)


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len(X_test)


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from sklearn.ensemble import RandomForestClassifier
model = RandomForestClassifier()
model.fit(X_train, y_train)


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model.score(X_test, y_test)


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X_test


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