ASL_test.py

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

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get_ipython().system('pip install pandas')


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import numpy as np
import pandas as pd 

data_train = pd.read_csv("sign_mnist_train.csv")
data_test = pd.read_csv("sign_mnist_test.csv")
#data_train.head()
#data_test.head()


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X_train = data_train.drop("label", axis= 1)
X_train.head()


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Y_train = data_train['label']
Y_train.head()


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x_test = data_test.drop("label", axis = 1)
x_test.head()


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y_test = data_test['label']
y_test.head()


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get_ipython().system('pip install sklearn')


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from sklearn.tree import DecisionTreeClassifier

clf = DecisionTreeClassifier(random_state=0,max_depth=50)
clf.fit(X_train, Y_train)


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print(clf.score(x_test,y_test))


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import matplotlib.pyplot as plt
import sklearn.tree as tree

plt.figure(num=None, figsize=(150, 150 ))
tree.plot_tree(clf, filled=True)
plt.show()


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clf.get_depth()


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