From b9fee0a48013ae6c91af4a1291847690196da166 Mon Sep 17 00:00:00 2001
From: Zuzanna Myszczuk <zuzmys3@st.amu.edu.pl>
Date: Wed, 24 May 2023 18:26:25 +0200
Subject: [PATCH] ID3 - drzewo decyzyjne

---
 .vs/ProjectSettings.json                      |   3 +
 .vs/VSWorkspaceState.json                     |   8 +
 ...932e7295-1b72-4163-8716-67371df6bc0a.vsidx | Bin 0 -> 1956 bytes
 ...e014f341-c2dd-4289-82d9-b91273c387bb.vsidx | Bin 0 -> 8779 bytes
 ...e776b07b-5553-424a-8a42-ff038815e278.vsidx | Bin 0 -> 45065 bytes
 ...f6b90cde-070b-41a2-93a4-7f6525e99ab6.vsidx | Bin 0 -> 3695 bytes
 .../FileContentIndex/read.lock                |   0
 .vs/inteligentny-traktor/v17/.wsuo            | Bin 0 -> 34816 bytes
 .vs/slnx.sqlite                               | Bin 0 -> 90112 bytes
 decisionTree/database.txt                     | 200 ++++++++++++++++++
 decisionTree/decisionTree.sav                 | Bin 0 -> 2601 bytes
 decisionTree/decissions.txt                   | 200 ++++++++++++++++++
 decisionTree/generator.py                     |  21 ++
 decisionTree/learning_set.txt                 | 200 ++++++++++++++++++
 decisionTree/treemaker.py                     |  76 +++++++
 15 files changed, 708 insertions(+)
 create mode 100644 .vs/ProjectSettings.json
 create mode 100644 .vs/VSWorkspaceState.json
 create mode 100644 .vs/inteligentny-traktor/FileContentIndex/932e7295-1b72-4163-8716-67371df6bc0a.vsidx
 create mode 100644 .vs/inteligentny-traktor/FileContentIndex/e014f341-c2dd-4289-82d9-b91273c387bb.vsidx
 create mode 100644 .vs/inteligentny-traktor/FileContentIndex/e776b07b-5553-424a-8a42-ff038815e278.vsidx
 create mode 100644 .vs/inteligentny-traktor/FileContentIndex/f6b90cde-070b-41a2-93a4-7f6525e99ab6.vsidx
 create mode 100644 .vs/inteligentny-traktor/FileContentIndex/read.lock
 create mode 100644 .vs/inteligentny-traktor/v17/.wsuo
 create mode 100644 .vs/slnx.sqlite
 create mode 100644 decisionTree/database.txt
 create mode 100644 decisionTree/decisionTree.sav
 create mode 100644 decisionTree/decissions.txt
 create mode 100644 decisionTree/generator.py
 create mode 100644 decisionTree/learning_set.txt
 create mode 100644 decisionTree/treemaker.py

diff --git a/.vs/ProjectSettings.json b/.vs/ProjectSettings.json
new file mode 100644
index 0000000..f8b4888
--- /dev/null
+++ b/.vs/ProjectSettings.json
@@ -0,0 +1,3 @@
+{
+  "CurrentProjectSetting": null
+}
\ No newline at end of file
diff --git a/.vs/VSWorkspaceState.json b/.vs/VSWorkspaceState.json
new file mode 100644
index 0000000..8c12b97
--- /dev/null
+++ b/.vs/VSWorkspaceState.json
@@ -0,0 +1,8 @@
+{
+  "ExpandedNodes": [
+    "",
+    "\\decisionTree"
+  ],
+  "SelectedNode": "\\decisionTree\\decisionTree.sav",
+  "PreviewInSolutionExplorer": false
+}
\ No newline at end of file
diff --git a/.vs/inteligentny-traktor/FileContentIndex/932e7295-1b72-4163-8716-67371df6bc0a.vsidx b/.vs/inteligentny-traktor/FileContentIndex/932e7295-1b72-4163-8716-67371df6bc0a.vsidx
new file mode 100644
index 0000000000000000000000000000000000000000..ad7ab7fa1b69621fbdd14a8c88f97ffcaf573db5
GIT binary patch
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diff --git a/.vs/slnx.sqlite b/.vs/slnx.sqlite
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diff --git a/decisionTree/database.txt b/decisionTree/database.txt
new file mode 100644
index 0000000..c8803d8
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diff --git a/decisionTree/decisionTree.sav b/decisionTree/decisionTree.sav
new file mode 100644
index 0000000000000000000000000000000000000000..7bde163f47975cff7957dc7c57cc0f2afa6609cd
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diff --git a/decisionTree/decissions.txt b/decisionTree/decissions.txt
new file mode 100644
index 0000000..e8e99b5
--- /dev/null
+++ b/decisionTree/decissions.txt
@@ -0,0 +1,200 @@
+0
+0
+0
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+0
+0
+0
+0
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+0
+0
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\ No newline at end of file
diff --git a/decisionTree/generator.py b/decisionTree/generator.py
new file mode 100644
index 0000000..9681fe1
--- /dev/null
+++ b/decisionTree/generator.py
@@ -0,0 +1,21 @@
+import random
+
+# Generowanie unikalnej losowej linii tekstu
+def generate_unique_line(existing_lines):
+    while True:
+        line = ''.join(random.choice(['0', '1']) for _ in range(7))
+        last_digit = random.choice(['1', '2', '3', '0'])
+        line += last_digit
+        if line not in existing_lines:
+            return line
+
+# Generowanie 200 unikalnych linii tekstu
+lines = []
+while len(lines) < 200:
+    line = generate_unique_line(lines)
+    lines.append(line)
+
+# Zapisywanie linii tekstu do pliku
+with open('decisionTree/database.txt', 'w') as file:
+    for line in lines:
+        file.write(line + '\n')
\ No newline at end of file
diff --git a/decisionTree/learning_set.txt b/decisionTree/learning_set.txt
new file mode 100644
index 0000000..a72df6c
--- /dev/null
+++ b/decisionTree/learning_set.txt
@@ -0,0 +1,200 @@
+['rainy', 'planted', 'good', 'good', 'no snow', 'moist', 'healthy', 'noon']
+['rainy', 'planted', 'bad', 'too strong', 'snow', 'moist', 'rot', 'morning']
+['clear', 'not planted', 'bad', 'good', 'snow', 'moist', 'healthy', 'noon']
+['rainy', 'planted', 'good', 'good', 'snow', 'dry', 'healthy', 'sunset']
+['rainy', 'planted', 'good', 'too strong', 'snow', 'dry', 'healthy', 'morning']
+['rainy', 'planted', 'good', 'good', 'snow', 'dry', 'rot', 'night']
+['clear', 'not planted', 'good', 'good', 'no snow', 'moist', 'healthy', 'sunset']
+['clear', 'not planted', 'bad', 'good', 'no snow', 'dry', 'healthy', 'noon']
+['rainy', 'not planted', 'bad', 'too strong', 'snow', 'dry', 'healthy', 'sunset']
+['clear', 'planted', 'bad', 'too strong', 'snow', 'dry', 'healthy', 'morning']
+['clear', 'planted', 'good', 'too strong', 'snow', 'moist', 'rot', 'sunset']
+['clear', 'not planted', 'bad', 'too strong', 'no snow', 'moist', 'rot', 'night']
+['rainy', 'not planted', 'good', 'too strong', 'snow', 'dry', 'rot', 'noon']
+['clear', 'not planted', 'good', 'too strong', 'snow', 'dry', 'healthy', 'morning']
+['rainy', 'not planted', 'bad', 'too strong', 'no snow', 'dry', 'healthy', 'sunset']
+['clear', 'planted', 'bad', 'too strong', 'snow', 'moist', 'healthy', 'morning']
+['clear', 'not planted', 'good', 'too strong', 'no snow', 'dry', 'healthy', 'noon']
+['rainy', 'planted', 'bad', 'good', 'snow', 'dry', 'healthy', 'morning']
+['rainy', 'planted', 'bad', 'too strong', 'snow', 'moist', 'healthy', 'night']
+['clear', 'planted', 'good', 'good', 'no snow', 'dry', 'healthy', 'sunset']
+['clear', 'planted', 'good', 'too strong', 'no snow', 'dry', 'rot', 'noon']
+['rainy', 'planted', 'good', 'good', 'snow', 'moist', 'rot', 'night']
+['rainy', 'not planted', 'good', 'too strong', 'no snow', 'moist', 'healthy', 'noon']
+['clear', 'planted', 'bad', 'too strong', 'no snow', 'moist', 'rot', 'night']
+['rainy', 'planted', 'good', 'good', 'snow', 'moist', 'rot', 'noon']
+['rainy', 'planted', 'bad', 'good', 'no snow', 'dry', 'rot', 'night']
+['clear', 'planted', 'bad', 'good', 'snow', 'dry', 'rot', 'noon']
+['rainy', 'not planted', 'good', 'good', 'snow', 'moist', 'rot', 'noon']
+['clear', 'planted', 'good', 'too strong', 'no snow', 'moist', 'rot', 'sunset']
+['rainy', 'not planted', 'bad', 'good', 'no snow', 'dry', 'healthy', 'noon']
+['clear', 'not planted', 'good', 'too strong', 'no snow', 'dry', 'healthy', 'morning']
+['rainy', 'not planted', 'bad', 'good', 'no snow', 'moist', 'rot', 'sunset']
+['clear', 'planted', 'good', 'too strong', 'snow', 'dry', 'rot', 'night']
+['rainy', 'not planted', 'good', 'good', 'no snow', 'dry', 'rot', 'sunset']
+['rainy', 'planted', 'bad', 'too strong', 'no snow', 'moist', 'healthy', 'morning']
+['rainy', 'planted', 'bad', 'good', 'snow', 'dry', 'rot', 'noon']
+['rainy', 'not planted', 'bad', 'good', 'snow', 'dry', 'healthy', 'sunset']
+['clear', 'planted', 'bad', 'good', 'snow', 'moist', 'healthy', 'night']
+['clear', 'not planted', 'bad', 'too strong', 'snow', 'moist', 'rot', 'morning']
+['rainy', 'not planted', 'good', 'good', 'snow', 'moist', 'healthy', 'sunset']
+['clear', 'planted', 'good', 'too strong', 'snow', 'moist', 'healthy', 'sunset']
+['clear', 'planted', 'bad', 'good', 'no snow', 'moist', 'rot', 'noon']
+['clear', 'planted', 'bad', 'good', 'no snow', 'dry', 'rot', 'morning']
+['clear', 'not planted', 'good', 'too strong', 'no snow', 'dry', 'healthy', 'sunset']
+['rainy', 'planted', 'good', 'too strong', 'snow', 'dry', 'rot', 'morning']
+['rainy', 'planted', 'good', 'good', 'snow', 'dry', 'healthy', 'morning']
+['rainy', 'planted', 'bad', 'good', 'no snow', 'moist', 'healthy', 'morning']
+['clear', 'planted', 'bad', 'too strong', 'no snow', 'moist', 'healthy', 'morning']
+['clear', 'planted', 'bad', 'good', 'snow', 'moist', 'rot', 'sunset']
+['clear', 'not planted', 'good', 'good', 'snow', 'dry', 'rot', 'noon']
+['rainy', 'planted', 'good', 'good', 'snow', 'dry', 'rot', 'morning']
+['clear', 'not planted', 'bad', 'too strong', 'no snow', 'dry', 'rot', 'noon']
+['clear', 'planted', 'bad', 'good', 'snow', 'moist', 'rot', 'night']
+['clear', 'planted', 'bad', 'good', 'snow', 'dry', 'healthy', 'sunset']
+['clear', 'planted', 'good', 'good', 'snow', 'moist', 'rot', 'noon']
+['rainy', 'planted', 'good', 'good', 'no snow', 'moist', 'healthy', 'sunset']
+['rainy', 'planted', 'good', 'too strong', 'snow', 'moist', 'rot', 'sunset']
+['clear', 'not planted', 'good', 'too strong', 'snow', 'dry', 'healthy', 'noon']
+['rainy', 'planted', 'good', 'too strong', 'no snow', 'moist', 'rot', 'noon']
+['rainy', 'planted', 'bad', 'too strong', 'snow', 'moist', 'rot', 'sunset']
+['rainy', 'not planted', 'bad', 'good', 'snow', 'moist', 'healthy', 'noon']
+['rainy', 'planted', 'good', 'good', 'no snow', 'dry', 'healthy', 'noon']
+['rainy', 'not planted', 'good', 'good', 'snow', 'moist', 'healthy', 'noon']
+['clear', 'not planted', 'good', 'too strong', 'snow', 'moist', 'rot', 'morning']
+['clear', 'not planted', 'good', 'good', 'snow', 'moist', 'rot', 'sunset']
+['rainy', 'planted', 'good', 'good', 'no snow', 'moist', 'rot', 'noon']
+['clear', 'not planted', 'good', 'good', 'no snow', 'dry', 'healthy', 'sunset']
+['clear', 'planted', 'bad', 'too strong', 'snow', 'moist', 'healthy', 'night']
+['rainy', 'not planted', 'good', 'too strong', 'snow', 'moist', 'healthy', 'morning']
+['clear', 'not planted', 'good', 'good', 'no snow', 'moist', 'healthy', 'morning']
+['clear', 'not planted', 'bad', 'good', 'snow', 'dry', 'rot', 'morning']
+['clear', 'not planted', 'bad', 'good', 'snow', 'dry', 'rot', 'sunset']
+['rainy', 'not planted', 'good', 'good', 'no snow', 'moist', 'healthy', 'sunset']
+['clear', 'not planted', 'bad', 'good', 'snow', 'dry', 'rot', 'night']
+['clear', 'planted', 'bad', 'too strong', 'snow', 'dry', 'healthy', 'night']
+['rainy', 'planted', 'good', 'too strong', 'snow', 'moist', 'healthy', 'sunset']
+['clear', 'not planted', 'bad', 'too strong', 'snow', 'dry', 'healthy', 'morning']
+['clear', 'not planted', 'good', 'good', 'snow', 'dry', 'rot', 'night']
+['rainy', 'not planted', 'good', 'too strong', 'snow', 'moist', 'healthy', 'night']
+['rainy', 'not planted', 'good', 'good', 'no snow', 'dry', 'rot', 'morning']
+['rainy', 'planted', 'good', 'too strong', 'snow', 'dry', 'healthy', 'night']
+['rainy', 'planted', 'bad', 'good', 'no snow', 'dry', 'healthy', 'morning']
+['clear', 'planted', 'good', 'good', 'no snow', 'moist', 'healthy', 'noon']
+['rainy', 'not planted', 'bad', 'too strong', 'no snow', 'moist', 'healthy', 'noon']
+['rainy', 'not planted', 'bad', 'too strong', 'snow', 'moist', 'healthy', 'noon']
+['rainy', 'not planted', 'good', 'good', 'snow', 'dry', 'healthy', 'morning']
+['clear', 'planted', 'good', 'good', 'no snow', 'dry', 'healthy', 'morning']
+['clear', 'not planted', 'good', 'too strong', 'snow', 'moist', 'healthy', 'night']
+['rainy', 'planted', 'bad', 'good', 'no snow', 'dry', 'rot', 'noon']
+['rainy', 'not planted', 'bad', 'too strong', 'no snow', 'dry', 'rot', 'sunset']
+['clear', 'not planted', 'good', 'too strong', 'snow', 'dry', 'healthy', 'night']
+['clear', 'planted', 'bad', 'good', 'snow', 'dry', 'rot', 'morning']
+['rainy', 'not planted', 'good', 'good', 'snow', 'dry', 'healthy', 'night']
+['clear', 'not planted', 'bad', 'too strong', 'no snow', 'dry', 'healthy', 'night']
+['rainy', 'not planted', 'bad', 'good', 'no snow', 'moist', 'healthy', 'sunset']
+['rainy', 'not planted', 'good', 'too strong', 'no snow', 'moist', 'rot', 'night']
+['clear', 'not planted', 'bad', 'too strong', 'snow', 'dry', 'rot', 'night']
+['clear', 'planted', 'bad', 'too strong', 'snow', 'dry', 'rot', 'sunset']
+['clear', 'planted', 'good', 'good', 'no snow', 'moist', 'rot', 'sunset']
+['rainy', 'not planted', 'bad', 'too strong', 'no snow', 'moist', 'rot', 'noon']
+['clear', 'planted', 'good', 'too strong', 'no snow', 'moist', 'healthy', 'morning']
+['clear', 'not planted', 'good', 'too strong', 'no snow', 'moist', 'rot', 'night']
+['rainy', 'not planted', 'bad', 'good', 'no snow', 'dry', 'rot', 'sunset']
+['clear', 'planted', 'good', 'good', 'no snow', 'dry', 'rot', 'morning']
+['clear', 'planted', 'good', 'good', 'no snow', 'moist', 'healthy', 'morning']
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+['rainy', 'not planted', 'bad', 'good', 'no snow', 'dry', 'healthy', 'sunset']
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+['rainy', 'planted', 'good', 'good', 'snow', 'moist', 'healthy', 'sunset']
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+['clear', 'not planted', 'bad', 'too strong', 'no snow', 'dry', 'rot', 'sunset']
+['clear', 'not planted', 'bad', 'good', 'snow', 'moist', 'rot', 'morning']
+['clear', 'planted', 'bad', 'good', 'snow', 'moist', 'healthy', 'morning']
+['clear', 'planted', 'bad', 'good', 'snow', 'moist', 'rot', 'noon']
+['rainy', 'planted', 'bad', 'too strong', 'no snow', 'dry', 'healthy', 'night']
+['clear', 'not planted', 'bad', 'good', 'no snow', 'moist', 'rot', 'morning']
+['clear', 'not planted', 'good', 'too strong', 'no snow', 'moist', 'rot', 'sunset']
+['rainy', 'not planted', 'good', 'too strong', 'no snow', 'moist', 'healthy', 'sunset']
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+['clear', 'not planted', 'good', 'good', 'no snow', 'dry', 'rot', 'night']
+['clear', 'not planted', 'bad', 'too strong', 'no snow', 'moist', 'healthy', 'night']
+['clear', 'planted', 'good', 'too strong', 'no snow', 'moist', 'rot', 'noon']
+['rainy', 'not planted', 'bad', 'too strong', 'no snow', 'moist', 'rot', 'night']
+['clear', 'planted', 'bad', 'too strong', 'no snow', 'dry', 'healthy', 'night']
+['rainy', 'planted', 'bad', 'good', 'snow', 'moist', 'rot', 'morning']
+['clear', 'not planted', 'bad', 'too strong', 'snow', 'moist', 'rot', 'sunset']
+['clear', 'not planted', 'bad', 'too strong', 'no snow', 'moist', 'healthy', 'noon']
+['rainy', 'not planted', 'good', 'good', 'no snow', 'moist', 'healthy', 'noon']
+['clear', 'planted', 'bad', 'too strong', 'snow', 'moist', 'healthy', 'noon']
diff --git a/decisionTree/treemaker.py b/decisionTree/treemaker.py
new file mode 100644
index 0000000..679930e
--- /dev/null
+++ b/decisionTree/treemaker.py
@@ -0,0 +1,76 @@
+
+
+#from sklearn.datasets import load_iris
+from sklearn.tree import export_text
+
+from sklearn.tree import DecisionTreeClassifier
+import joblib
+
+X1 = []
+view = []
+with open("decisionTree/database.txt", 'r') as f:
+    for line in f:
+        line = line.strip()
+        test_list = [int(i) for i in line]
+        x = []
+        if line[0] == "0":
+            x.append("clear")
+        else:
+            x.append("rainy")
+        if line[1] == "0":
+            x.append("not planted")
+        else:
+            x.append("planted")
+        if line[2] == "0":
+            x.append("bad")
+        else:
+            x.append("good")
+        if line[3] == "0":
+            x.append("good")
+        else:
+            x.append("too strong")
+        if line[4] == "0":
+            x.append("no snow")
+        else:
+            x.append("snow")
+        if line[5] == "0":
+            x.append("dry")
+        else:
+            x.append("moist")
+        if line[6] == "0":
+            x.append("healthy")
+        else:
+            x.append("rot")
+        if line[7] == "0":
+            x.append("morning")
+        elif line[7] == "1":
+            x.append("noon")
+        elif line[7] == "2":
+            x.append("sunset")
+        else:
+            x.append("night")
+        view.append(x)
+        X1.append(test_list)
+
+f = open("decisionTree/learning_set.txt", "w")              #zapisuje atrybuty słownie
+for i in view:
+    f.write(str(i)+"\n")
+f.close()
+
+
+Y1 = []
+with open("decisionTree/decissions.txt", 'r') as f:         #czyta decyzje
+    for line in f:
+        line = line.strip()
+        test = int(line)
+        Y1.append(test)
+
+dataset = X1
+decision = Y1
+labels = ['Rain','Plant','Temperature','Sun','Snow','Moisture','Rotten','Time']
+model = DecisionTreeClassifier(random_state=0, max_depth=20).fit(dataset, decision)
+filename = 'decisionTree/decisionTree.sav'
+print("Model trained")
+print("Decision tree:")
+print(export_text(model, feature_names=labels))
+joblib.dump(model, filename) 
-- 
2.20.1