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🧹 Code health: Remove commented-out dead code for tree visualization in notebook #1

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🧹 Code health: Remove commented-out dead code for tree visualization in notebook #1

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42 changes: 0 additions & 42 deletions Python Class Work 4 - ML.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -1312,48 +1312,6 @@
"print(\"DecisionTrees's Accuracy: \", metrics.accuracy_score(y_testset, predTree))"
]
},
{
"cell_type": "code",
"execution_count": 63,
"metadata": {},
"outputs": [],
"source": [
"# Notice: You might need to uncomment and install the pydotplus and graphviz libraries if you have not installed these before\n",
"# !conda install -c conda-forge pydotplus -y\n",
"#!conda install -c conda-forge python-graphviz -y"
]
},
{
"cell_type": "code",
"execution_count": 64,
"metadata": {},
"outputs": [],
"source": [
"#from sklearn.externals.six import StringIO\n",
"#import pydotplus\n",
"#import matplotlib.image as mpimg\n",
"#from sklearn import tree\n",
"#%matplotlib inline "
]
},
{
"cell_type": "code",
"execution_count": 65,
"metadata": {},
"outputs": [],
"source": [
"#dot_data = StringIO()\n",
"#filename = \"drugtree.png\"\n",
"#featureNames = dfLabs.columns[0:5]\n",
"#targetNames = dfLabs[\"Drug\"].unique().tolist()\n",
"#out=tree.export_graphviz(drugTree,feature_names=featureNames, out_file=dot_data, class_names= np.unique(y_trainset), filled=True, #special_characters=True,rotate=False) \n",
"#graph = pydot.graph_from_dot_data(dot_data.getvalue()) \n",
"#graph.write_png(filename)\n",
"#img = mpimg.imread(filename)\n",
"#plt.figure(figsize=(100, 200))\n",
"#plt.imshow(img,interpolation='nearest')"
]
},
{
"cell_type": "markdown",
"metadata": {},
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