From c1f1450307b7b0a127d0bed8b62ff9a03163ce74 Mon Sep 17 00:00:00 2001
From: Uwe Schmitt <uwe.schmitt@id.ethz.ch>
Date: Mon, 1 Apr 2019 22:50:25 +0200
Subject: [PATCH] added few things to 05_classifiers_overview.ipynb draft
---
05_classifiers_overview.ipynb | 7 ++++++-
1 file changed, 6 insertions(+), 1 deletion(-)
diff --git a/05_classifiers_overview.ipynb b/05_classifiers_overview.ipynb
index 18908f4..9591ed3 100644
--- a/05_classifiers_overview.ipynb
+++ b/05_classifiers_overview.ipynb
@@ -21,6 +21,9 @@
"- Decision trees\n",
"- Random forests\n",
"\n",
+ "- XGboost (https://xgboost.readthedocs.io/en/latest/) (not part of scikit-learn, won many kaggle competitions https://www.kaggle.com/dansbecker/xgboost, offers scikit-learn API https://www.kaggle.com/stuarthallows/using-xgboost-with-scikit-learn)\n",
+ "\n",
+ "\n",
"For every classifier: some examples for decision surfaces.\n",
"\n",
"Historical information ?"
@@ -93,7 +96,9 @@
"\n",
"Hard to intepret the internals.\n",
"\n",
- "for rbf: gamma parameter is \"decline rate\" of rbf functions, controls smoothness of decision surface.\n"
+ "for rbf: gamma parameter is \"decline rate\" of rbf functions, controls smoothness of decision surface.\n",
+ "\n",
+ "feature scaling is crucial for good performance !"
]
},
{
--
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