From 25c68df0f42ed6fc6da9722b32a7a69456ca862e Mon Sep 17 00:00:00 2001
From: Natalia <natpli@st.amu.edu.pl>
Date: Wed, 20 May 2020 21:23:56 +0200
Subject: [PATCH] commit_natalia

---
 .idea/DSZI.iml                  |   2 +-
 .idea/misc.xml                  |   2 +-
 Restaurant/Natalia/Nowy.csv     | 100 ++++++++++++++++++++++++++++++++
 Restaurant/Natalia/Tree_natalia |  54 +++++++++++++++++
 Restaurant/Natalia/__init__.py  |   0
 5 files changed, 156 insertions(+), 2 deletions(-)
 create mode 100644 Restaurant/Natalia/Nowy.csv
 create mode 100644 Restaurant/Natalia/Tree_natalia
 create mode 100644 Restaurant/Natalia/__init__.py

diff --git a/.idea/DSZI.iml b/.idea/DSZI.iml
index 0267347..252f3ef 100644
--- a/.idea/DSZI.iml
+++ b/.idea/DSZI.iml
@@ -5,7 +5,7 @@
       <excludeFolder url="file://$MODULE_DIR$/Restaurant/Marta/venv" />
       <excludeFolder url="file://$MODULE_DIR$/venv" />
     </content>
-    <orderEntry type="jdk" jdkName="Python 3.7" jdkType="Python SDK" />
+    <orderEntry type="jdk" jdkName="Python 3.7 (projekt_sztuczna)" jdkType="Python SDK" />
     <orderEntry type="sourceFolder" forTests="false" />
   </component>
   <component name="TestRunnerService">
diff --git a/.idea/misc.xml b/.idea/misc.xml
index a2e120d..d209534 100644
--- a/.idea/misc.xml
+++ b/.idea/misc.xml
@@ -1,4 +1,4 @@
 <?xml version="1.0" encoding="UTF-8"?>
 <project version="4">
-  <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.7" project-jdk-type="Python SDK" />
+  <component name="ProjectRootManager" version="2" project-jdk-name="Python 3.7 (projekt_sztuczna)" project-jdk-type="Python SDK" />
 </project>
\ No newline at end of file
diff --git a/Restaurant/Natalia/Nowy.csv b/Restaurant/Natalia/Nowy.csv
new file mode 100644
index 0000000..b3e0c52
--- /dev/null
+++ b/Restaurant/Natalia/Nowy.csv
@@ -0,0 +1,100 @@
+20,0,2,4,3,2
+57,0,8,2,1,2
+50,1,3,4,1,1
+51,1,6,1,1,1
+82,1,9,1,2,2
+73,1,5,4,3,2
+65,0,7,3,2,1
+16,1,9,2,3,1
+23,0,1,4,3,1
+74,0,10,3,1,1
+85,1,5,4,1,2
+35,0,2,1,2,1
+79,1,9,4,1,2
+56,0,7,2,1,2
+51,0,6,4,3,2
+13,1,8,1,3,1
+30,0,8,2,2,2
+50,0,5,5,1,2
+39,1,9,3,3,1
+20,0,7,5,3,1
+63,1,8,4,1,1
+74,1,2,1,3,1
+46,1,7,3,1,2
+52,0,5,3,3,1
+39,0,9,1,3,1
+14,1,4,1,3,2
+81,1,2,1,3,1
+79,0,10,4,1,2
+69,0,1,5,1,2
+87,1,3,4,3,2
+72,1,9,1,3,1
+85,0,5,4,1,2
+59,1,10,5,3,1
+32,1,8,1,3,1
+28,0,3,1,1,2
+77,0,10,3,1,1
+82,1,4,5,3,2
+30,0,9,1,3,2
+83,1,9,2,3,2
+88,1,2,3,2,1
+72,1,8,3,2,1
+87,1,9,2,2,2
+13,0,8,5,2,1
+47,0,6,3,1,2
+51,1,1,4,3,1
+27,0,4,5,2,2
+50,1,7,5,1,2
+16,1,2,4,2,2
+29,0,8,4,3,2
+80,1,2,3,2,1
+16,0,10,2,1,1
+76,0,4,4,3,2
+44,1,6,1,1,2
+63,0,5,2,2,2
+12,1,5,4,3,2
+73,1,1,5,1,2
+39,1,7,3,3,1
+10,0,8,3,1,2
+32,0,7,4,3,1
+32,0,8,1,2,1
+74,1,2,4,1,2
+77,1,9,1,3,1
+13,1,2,1,1,1
+61,0,10,1,1,2
+48,1,2,1,1,1
+11,0,4,5,3,1
+80,0,10,3,3,1
+33,0,9,5,3,2
+53,1,5,2,3,2
+56,0,10,2,2,2
+25,1,4,4,1,2
+27,0,8,3,3,2
+83,0,1,1,1,2
+49,0,4,3,2,2
+76,0,10,3,1,1
+40,0,1,5,2,2
+73,1,3,4,2,1
+19,1,2,4,2,2
+77,1,7,2,3,1
+52,0,5,4,3,2
+29,0,10,2,3,1
+28,1,5,1,3,2
+63,0,1,5,3,2
+84,1,4,2,1,2
+31,0,9,1,3,1
+46,1,3,5,1,1
+84,0,6,5,3,1
+30,0,7,1,2,2
+29,1,7,1,1,1
+46,1,5,3,3,2
+17,1,8,1,1,1
+37,0,10,4,2,1
+43,0,6,1,3,1
+57,1,6,1,2,2
+58,1,4,1,3,2
+59,0,1,4,3,1
+26,0,7,2,3,2
+43,0,2,1,3,1
+66,0,8,2,1,1
+85,1,2,1,2,2
diff --git a/Restaurant/Natalia/Tree_natalia b/Restaurant/Natalia/Tree_natalia
new file mode 100644
index 0000000..d5bb46a
--- /dev/null
+++ b/Restaurant/Natalia/Tree_natalia
@@ -0,0 +1,54 @@
+# Load libraries
+import pandas as pd
+from sklearn.tree import DecisionTreeClassifier # Import Decision Tree Classifier
+from sklearn.model_selection import train_test_split # Import train_test_split function
+from sklearn import metrics #Import scikit-learn metrics module for accuracy calculation
+from sklearn.tree import export_graphviz
+from sklearn.externals.six import StringIO
+from IPython.display import Image
+import pydotplus
+
+col_names = ['age', 'sex', 'fat', 'spicy', 'hungry', 'budget']
+# load dataset
+pima = pd.read_csv("nazwa.csv", header=None, names=col_names)
+
+#split dataset in features and target variable
+feature_cols = ['age', 'sex', 'fat', 'spicy']
+X = pima[feature_cols] # Features
+y = pima.label # Target variable
+
+# Split dataset into training set and test set
+X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=1) # 70% training and 30% test
+
+# Create Decision Tree classifer object
+clf = DecisionTreeClassifier()
+
+# Train Decision Tree Classifer
+clf = clf.fit(X_train,y_train)
+
+#Predict the response for test dataset
+y_pred = clf.predict(X_test)
+
+# Model Accuracy, how often is the classifier correct?
+print("Accuracy:",metrics.accuracy_score(y_test, y_pred))
+
+dot_data = StringIO()
+export_graphviz(clf, out_file=dot_data,
+                filled=True, rounded=True,
+                special_characters=True,feature_names = feature_cols,class_names=['0','1'])
+graph = pydotplus.graph_from_dot_data(dot_data.getvalue())
+graph.write_png('food_tree.png')
+Image(graph.create_png())
+
+
+# Create Decision Tree classifer object
+clf = DecisionTreeClassifier(criterion="entropy", max_depth=3)
+
+# Train Decision Tree Classifer
+clf = clf.fit(X_train,y_train)
+
+#Predict the response for test dataset
+y_pred = clf.predict(X_test)
+
+# Model Accuracy, how often is the classifier correct?
+print("Accuracy:",metrics.accuracy_score(y_test, y_pred))
\ No newline at end of file
diff --git a/Restaurant/Natalia/__init__.py b/Restaurant/Natalia/__init__.py
new file mode 100644
index 0000000..e69de29