diff --git a/decision tree classification.ipynb b/decision tree classification.ipynb
index aa469fa..72186d6 100644
--- a/decision tree classification.ipynb
+++ b/decision tree classification.ipynb
@@ -11,7 +11,7 @@
},
{
"cell_type": "code",
- "execution_count": 1,
+ "execution_count": 25,
"metadata": {},
"outputs": [],
"source": [
@@ -55,7 +55,7 @@
},
{
"cell_type": "code",
- "execution_count": 3,
+ "execution_count": 26,
"metadata": {},
"outputs": [],
"source": [
@@ -91,7 +91,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 27,
"metadata": {},
"outputs": [],
"source": [
@@ -334,7 +334,7 @@
},
{
"cell_type": "code",
- "execution_count": 2,
+ "execution_count": 28,
"metadata": {
"scrolled": false
},
@@ -374,7 +374,7 @@
" | 3.5 | \n",
" 1.4 | \n",
" 0.2 | \n",
- " Setosa | \n",
+ " Iris-setosa | \n",
" \n",
" \n",
" | 1 | \n",
@@ -382,7 +382,7 @@
" 3.0 | \n",
" 1.4 | \n",
" 0.2 | \n",
- " Setosa | \n",
+ " Iris-setosa | \n",
"
\n",
" \n",
" | 2 | \n",
@@ -390,7 +390,7 @@
" 3.2 | \n",
" 1.3 | \n",
" 0.2 | \n",
- " Setosa | \n",
+ " Iris-setosa | \n",
"
\n",
" \n",
" | 3 | \n",
@@ -398,7 +398,7 @@
" 3.1 | \n",
" 1.5 | \n",
" 0.2 | \n",
- " Setosa | \n",
+ " Iris-setosa | \n",
"
\n",
" \n",
" | 4 | \n",
@@ -406,7 +406,7 @@
" 3.6 | \n",
" 1.4 | \n",
" 0.2 | \n",
- " Setosa | \n",
+ " Iris-setosa | \n",
"
\n",
" \n",
" | ... | \n",
@@ -422,7 +422,7 @@
" 3.0 | \n",
" 5.2 | \n",
" 2.3 | \n",
- " Virginica | \n",
+ " Iris-virginica | \n",
"
\n",
" \n",
" | 146 | \n",
@@ -430,7 +430,7 @@
" 2.5 | \n",
" 5.0 | \n",
" 1.9 | \n",
- " Virginica | \n",
+ " Iris-virginica | \n",
"
\n",
" \n",
" | 147 | \n",
@@ -438,7 +438,7 @@
" 3.0 | \n",
" 5.2 | \n",
" 2.0 | \n",
- " Virginica | \n",
+ " Iris-virginica | \n",
"
\n",
" \n",
" | 148 | \n",
@@ -446,7 +446,7 @@
" 3.4 | \n",
" 5.4 | \n",
" 2.3 | \n",
- " Virginica | \n",
+ " Iris-virginica | \n",
"
\n",
" \n",
" | 149 | \n",
@@ -454,7 +454,7 @@
" 3.0 | \n",
" 5.1 | \n",
" 1.8 | \n",
- " Virginica | \n",
+ " Iris-virginica | \n",
"
\n",
" \n",
"\n",
@@ -462,30 +462,30 @@
""
],
"text/plain": [
- " sepal_length sepal_width petal_length petal_width type\n",
- "0 5.1 3.5 1.4 0.2 Setosa\n",
- "1 4.9 3.0 1.4 0.2 Setosa\n",
- "2 4.7 3.2 1.3 0.2 Setosa\n",
- "3 4.6 3.1 1.5 0.2 Setosa\n",
- "4 5.0 3.6 1.4 0.2 Setosa\n",
- ".. ... ... ... ... ...\n",
- "145 6.7 3.0 5.2 2.3 Virginica\n",
- "146 6.3 2.5 5.0 1.9 Virginica\n",
- "147 6.5 3.0 5.2 2.0 Virginica\n",
- "148 6.2 3.4 5.4 2.3 Virginica\n",
- "149 5.9 3.0 5.1 1.8 Virginica\n",
+ " sepal_length sepal_width petal_length petal_width type\n",
+ "0 5.1 3.5 1.4 0.2 Iris-setosa\n",
+ "1 4.9 3.0 1.4 0.2 Iris-setosa\n",
+ "2 4.7 3.2 1.3 0.2 Iris-setosa\n",
+ "3 4.6 3.1 1.5 0.2 Iris-setosa\n",
+ "4 5.0 3.6 1.4 0.2 Iris-setosa\n",
+ ".. ... ... ... ... ...\n",
+ "145 6.7 3.0 5.2 2.3 Iris-virginica\n",
+ "146 6.3 2.5 5.0 1.9 Iris-virginica\n",
+ "147 6.5 3.0 5.2 2.0 Iris-virginica\n",
+ "148 6.2 3.4 5.4 2.3 Iris-virginica\n",
+ "149 5.9 3.0 5.1 1.8 Iris-virginica\n",
"\n",
"[150 rows x 5 columns]"
]
},
- "execution_count": 2,
+ "execution_count": 28,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"col_names = ['sepal_length', 'sepal_width', 'petal_length', 'petal_width', 'type']\n",
- "data = pd.read_csv(\"iris.csv\", skiprows=1, header=None, names=col_names)\n",
+ "data = pd.read_csv(\"iris_data.csv\", names=col_names)\n",
"data"
]
},
@@ -527,7 +527,7 @@
},
{
"cell_type": "code",
- "execution_count": 5,
+ "execution_count": 29,
"metadata": {},
"outputs": [],
"source": [
@@ -548,7 +548,7 @@
},
{
"cell_type": "code",
- "execution_count": 6,
+ "execution_count": 30,
"metadata": {},
"outputs": [],
"source": [
@@ -567,7 +567,7 @@
},
{
"cell_type": "code",
- "execution_count": 7,
+ "execution_count": 31,
"metadata": {},
"outputs": [
{
@@ -575,16 +575,16 @@
"output_type": "stream",
"text": [
"X_2 ≤ 1.9 ? 0.337\n",
- "1 : left: Setosa\n",
+ "1 : left: Iris-setosa\n",
"1 : right: X_3 ≤ 1.5 ? 0.427\n",
"2 : left: X_2 ≤ 4.9 ? 0.051\n",
- "3 : left: Versicolor\n",
- "3 : right: Virginica\n",
+ "3 : left: Iris-versicolor\n",
+ "3 : right: Iris-virginica\n",
"2 : right: X_2 ≤ 5.0 ? 0.02\n",
"3 : left: X_1 ≤ 2.8 ? 0.208\n",
- "4 : left: Virginica\n",
- "4 : right: Versicolor\n",
- "3 : right: Virginica\n"
+ "4 : left: Iris-virginica\n",
+ "4 : right: Iris-versicolor\n",
+ "3 : right: Iris-virginica\n"
]
}
],
@@ -598,12 +598,12 @@
"source": [
"## Testing the model\n",
"\n",
- "We are using the definded method predict() to determine the classes of the Test dataset"
+ "We are using the definded method predict() to determine the classes of the Test dataset - those will be stored in the Y_pred which we will than compare to Y_test with the help of sklearn library function called accuracy_score"
]
},
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 32,
"metadata": {},
"outputs": [
{
@@ -612,7 +612,7 @@
"0.9333333333333333"
]
},
- "execution_count": 8,
+ "execution_count": 32,
"metadata": {},
"output_type": "execute_result"
}
@@ -648,7 +648,7 @@
},
{
"cell_type": "code",
- "execution_count": 9,
+ "execution_count": 33,
"metadata": {},
"outputs": [],
"source": [
@@ -657,7 +657,7 @@
},
{
"cell_type": "code",
- "execution_count": 10,
+ "execution_count": 34,
"metadata": {},
"outputs": [
{
@@ -787,7 +787,7 @@
"[400 rows x 4 columns]"
]
},
- "execution_count": 10,
+ "execution_count": 34,
"metadata": {},
"output_type": "execute_result"
}
@@ -805,7 +805,7 @@
},
{
"cell_type": "code",
- "execution_count": 11,
+ "execution_count": 35,
"metadata": {},
"outputs": [
{
@@ -947,7 +947,7 @@
"[400 rows x 5 columns]"
]
},
- "execution_count": 11,
+ "execution_count": 35,
"metadata": {},
"output_type": "execute_result"
}
@@ -972,7 +972,7 @@
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": 36,
"metadata": {},
"outputs": [],
"source": [
@@ -985,7 +985,7 @@
},
{
"cell_type": "code",
- "execution_count": 13,
+ "execution_count": 37,
"metadata": {},
"outputs": [
{
@@ -994,7 +994,7 @@
"(320, 80)"
]
},
- "execution_count": 13,
+ "execution_count": 37,
"metadata": {},
"output_type": "execute_result"
}
@@ -1012,7 +1012,7 @@
},
{
"cell_type": "code",
- "execution_count": 14,
+ "execution_count": 38,
"metadata": {},
"outputs": [],
"source": [
@@ -1029,7 +1029,7 @@
},
{
"cell_type": "code",
- "execution_count": 15,
+ "execution_count": 39,
"metadata": {
"scrolled": false
},
@@ -1143,7 +1143,7 @@
},
{
"cell_type": "code",
- "execution_count": 16,
+ "execution_count": 40,
"metadata": {},
"outputs": [
{
@@ -1152,7 +1152,7 @@
"0.8625"
]
},
- "execution_count": 16,
+ "execution_count": 40,
"metadata": {},
"output_type": "execute_result"
}