diff --git a/Lösungen_N/AB1.ipynb b/Lösungen_N/AB1.ipynb index 2c0b387..7445c9b 100644 --- a/Lösungen_N/AB1.ipynb +++ b/Lösungen_N/AB1.ipynb @@ -56,7 +56,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 20, "id": "5f5b8df7", "metadata": {}, "outputs": [ @@ -75,7 +75,7 @@ "#e)\n", "import matplotlib.pyplot as plt\n", "\n", - "plt.scatter(X[0], X[1],)\n", + "plt.scatter(X[0], X[1])\n", "plt.show()" ] }, @@ -1015,7 +1015,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 21, "id": "c48aed8a", "metadata": {}, "outputs": [], @@ -1027,7 +1027,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 9, "id": "75905dec", "metadata": {}, "outputs": [], @@ -1049,13 +1049,13 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": null, "id": "9d377058", "metadata": {}, "outputs": [], "source": [ "#4b)\n", - "# 6 diskrete und 15 kontinuierliche Merkmale" + "# 6 kontinuierlich und 15 diskrete/binäre Merkmale" ] }, { @@ -1081,7 +1081,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 23, "id": "2cda1596", "metadata": {}, "outputs": [ @@ -1104,7 +1104,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 24, "id": "28fdf622", "metadata": {}, "outputs": [ @@ -2004,7 +2004,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 25, "id": "0dacf983", "metadata": {}, "outputs": [ @@ -2904,7 +2904,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": null, "id": "80bfdd1d", "metadata": {}, "outputs": [ @@ -3796,7 +3796,7 @@ } ], "source": [ - "#4e) -- iii)\n", + "#4e) -- iii) Merkmale 18, 19, 20\n", "fig = px.scatter_3d(thyroid_data, thyroid_data[:,18], thyroid_data[:,19], thyroid_data[:,20], color=thyroid_data[:,-1])\n", "fig.update_traces(marker={'size': 3})\n", "fig.show()" @@ -3804,7 +3804,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": null, "id": "171649dc", "metadata": {}, "outputs": [ @@ -4696,7 +4696,7 @@ } ], "source": [ - "#4e) -- iv)\n", + "#4e) -- iv) Merkmale 16,18,20\n", "fig = px.scatter_3d(thyroid_data, thyroid_data[:,16], thyroid_data[:,18], thyroid_data[:,20], color=thyroid_data[:,-1])\n", "fig.update_traces(marker={'size': 3})\n", "fig.show()" @@ -4704,7 +4704,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, "id": "8c9c1688", "metadata": {}, "outputs": [], @@ -4715,12 +4715,25 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 33, "id": "dae26e9d", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "#4g)\n" + "#4g)\n", + "fig = plt.scatter(thyroid_data[:,16], thyroid_data[:,18], c=thyroid_data[:,-1], cmap=plt.cm.prism)\n", + "plt.show()" ] } ],