balkian/sitc
1
0
Fork 0
mirror of https://github.com/gsi-upm/sitc synced 2025-06-13 11:42:21 +00:00
Code Issues Releases Wiki Activity

Update 2_8_Conclusions.ipynb

Browse Source 
Changed image path
This commit is contained in:
Carlos A. Iglesias 2025-06-02 17:18:31 +03:00 committed by GitHub
parent 3a73b2b286
commit 6532ef1b27
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
1 changed files with 3 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
ml1/2_8_Conclusions.ipynb
View File

@ -4,7 +4,7 @@
"cell_type": "markdown",
"metadata": {},
"source": [
"![](files/images/EscUpmPolit_p.gif \"UPM\")"
"![](./images/EscUpmPolit_p.gif \"UPM\")"
]
},
{
@ -52,7 +52,7 @@
"\n",
"Particularly in high-dimensional spaces, data can more easily be separated linearly and the simplicity of classifiers such as naive Bayes and linear SVMs might lead to better generalization than is achieved by other classifiers.\n",
"\n",
"The plots show training points in solid colors and testing points semi-transparent. The lower right shows the classification accuracy on the test set.\n",
"The plots show training points in solid colors and testing points in semi-transparent colors. The lower right shows the classification accuracy on the test set.\n",
"\n",
"The [DummyClassifier](http://scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyClassifier.html#sklearn.dummy.DummyClassifier) is a classifier that makes predictions using simple rules. It is useful as a simple baseline to compare with other (real) classifiers. \n",
"\n",
@ -94,7 +94,7 @@
"metadata": {},
"source": [
"## Licence\n",
"The notebook is freely licensed under under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/). \n",
"The notebook is freely licensed under the [Creative Commons Attribution Share-Alike license](https://creativecommons.org/licenses/by/2.0/). \n",
"\n",
"© Carlos A. Iglesias, Universidad Politécnica de Madrid."
]