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Created using Colab

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Orrm23 2025-02-17 00:49:38 -08:00
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commit 3949954973
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34
LeafSpeciesDetection_DECISIONTREE.ipynb
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@ -92,7 +92,7 @@
"base_uri": "https://localhost:8080/" "base_uri": "https://localhost:8080/"
}, },
"id": "_x9QzbrMOl0l", "id": "_x9QzbrMOl0l",
"outputId": "9750543d-bfea-4451-a95c-4a6cfcc2e0ba" "outputId": "ab81e859-9cc0-4483-c174-5012b2b47ca4"
}, },
"source": [ "source": [
"print(dataset.data)\n", "print(dataset.data)\n",
@ -283,7 +283,7 @@
"height": 424 "height": 424
}, },
"id": "EG1_3L0hOoq0", "id": "EG1_3L0hOoq0",
"outputId": "464b4950-8a29-4131-8500-6bdacd714e32" "outputId": "4497898b-6264-4286-abb3-6394ec005754"
}, },
"source": [ "source": [
"X = pd.DataFrame(dataset.data, columns=dataset.feature_names)\n", "X = pd.DataFrame(dataset.data, columns=dataset.feature_names)\n",
@ -312,7 +312,7 @@
], ],
"text/html": [ "text/html": [
"\n", "\n",
" <div id=\"df-389f57ea-0bd7-462a-9a96-b6a7dee9a497\" class=\"colab-df-container\">\n", " <div id=\"df-e2b913d5-fa21-4bb1-8f04-5952f668df8e\" class=\"colab-df-container\">\n",
" <div>\n", " <div>\n",
"<style scoped>\n", "<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n", " .dataframe tbody tr th:only-of-type {\n",
@ -422,7 +422,7 @@
" <div class=\"colab-df-buttons\">\n", " <div class=\"colab-df-buttons\">\n",
"\n", "\n",
" <div class=\"colab-df-container\">\n", " <div class=\"colab-df-container\">\n",
" <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-389f57ea-0bd7-462a-9a96-b6a7dee9a497')\"\n", " <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-e2b913d5-fa21-4bb1-8f04-5952f668df8e')\"\n",
" title=\"Convert this dataframe to an interactive table.\"\n", " title=\"Convert this dataframe to an interactive table.\"\n",
" style=\"display:none;\">\n", " style=\"display:none;\">\n",
"\n", "\n",
@ -474,12 +474,12 @@
"\n", "\n",
" <script>\n", " <script>\n",
" const buttonEl =\n", " const buttonEl =\n",
" document.querySelector('#df-389f57ea-0bd7-462a-9a96-b6a7dee9a497 button.colab-df-convert');\n", " document.querySelector('#df-e2b913d5-fa21-4bb1-8f04-5952f668df8e button.colab-df-convert');\n",
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" google.colab.kernel.accessAllowed ? 'block' : 'none';\n", " google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n", "\n",
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" const dataTable =\n", " const dataTable =\n",
" await google.colab.kernel.invokeFunction('convertToInteractive',\n", " await google.colab.kernel.invokeFunction('convertToInteractive',\n",
" [key], {});\n", " [key], {});\n",
@ -499,8 +499,8 @@
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@ -619,14 +619,14 @@
" }\n", " }\n",
" (() => {\n", " (() => {\n",
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" })();\n", " })();\n",
" </script>\n", " </script>\n",
"</div>\n", "</div>\n",
"\n", "\n",
" <div id=\"id_4f5a864a-1903-4cf2-963b-999ead609f73\">\n", " <div id=\"id_cd5c8bd3-0029-41c9-854f-eed3f438d4f0\">\n",
" <style>\n", " <style>\n",
" .colab-df-generate {\n", " .colab-df-generate {\n",
" background-color: #E8F0FE;\n", " background-color: #E8F0FE;\n",
@ -670,7 +670,7 @@
" <script>\n", " <script>\n",
" (() => {\n", " (() => {\n",
" const buttonEl =\n", " const buttonEl =\n",
" document.querySelector('#id_4f5a864a-1903-4cf2-963b-999ead609f73 button.colab-df-generate');\n", " document.querySelector('#id_cd5c8bd3-0029-41c9-854f-eed3f438d4f0 button.colab-df-generate');\n",
" buttonEl.style.display =\n", " buttonEl.style.display =\n",
" google.colab.kernel.accessAllowed ? 'block' : 'none';\n", " google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
"\n", "\n",
@ -702,7 +702,7 @@
"base_uri": "https://localhost:8080/" "base_uri": "https://localhost:8080/"
}, },
"id": "fVIBC6zbPmD_", "id": "fVIBC6zbPmD_",
"outputId": "729cc236-51a5-4704-8002-a5326bc1d1ab" "outputId": "1a834214-4d26-4413-da1f-2a5a9a45b115"
}, },
"source": [ "source": [
"Y = dataset.target\n", "Y = dataset.target\n",
@ -744,7 +744,7 @@
"base_uri": "https://localhost:8080/" "base_uri": "https://localhost:8080/"
}, },
"id": "WsXx-qmhPzSV", "id": "WsXx-qmhPzSV",
"outputId": "78fe0df9-ffdb-4fd2-9d96-52b8d2ba36af" "outputId": "3234893f-95d4-477f-fa50-86e38ad8e391"
}, },
"source": [ "source": [
"from sklearn.model_selection import train_test_split\n", "from sklearn.model_selection import train_test_split\n",
@ -781,7 +781,7 @@
"height": 581 "height": 581
}, },
"id": "MLko_TEoSOVY", "id": "MLko_TEoSOVY",
"outputId": "e9e13eb1-08fa-494c-f75d-0d9321bae504" "outputId": "932213ba-06aa-49c7-dbba-2ea593edf2d4"
}, },
"source": [ "source": [
"accuracy = []\n", "accuracy = []\n",
@ -844,7 +844,7 @@
"height": 80 "height": 80
}, },
"id": "_1iHKy-0QHm6", "id": "_1iHKy-0QHm6",
"outputId": "8a7a3030-1d60-4018-f225-5c2e65fdbe9a" "outputId": "63f5d1c9-bef7-4778-9a1f-8f2170a90770"
}, },
"source": [ "source": [
"from sklearn.tree import DecisionTreeClassifier\n", "from sklearn.tree import DecisionTreeClassifier\n",
@ -1299,7 +1299,7 @@
"base_uri": "https://localhost:8080/" "base_uri": "https://localhost:8080/"
}, },
"id": "H9IXzjDeXFfv", "id": "H9IXzjDeXFfv",
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}, },
"source": [ "source": [
"y_pred = model.predict(X_test)\n", "y_pred = model.predict(X_test)\n",
@ -1369,7 +1369,7 @@
"base_uri": "https://localhost:8080/" "base_uri": "https://localhost:8080/"
}, },
"id": "z6zi5kA4XjXx", "id": "z6zi5kA4XjXx",
"outputId": "0a1dde70-cc96-4e28-a503-64f5e5272ba7" "outputId": "93e85e20-69e0-4772-deb5-2e6092cb6940"
}, },
"source": [ "source": [
"from sklearn.metrics import accuracy_score\n", "from sklearn.metrics import accuracy_score\n",