Merge pull request jakevdp#23 from vfdev-5/patch-1

Update 05.03-Hyperparameters-and-Model-Validation.ipynb

Author: jakevdp

notebooks/05.03-Hyperparameters-and-Model-Validation.ipynb

@@ -430,7 +430,7 @@
     "![](figures/05.03-bias-variance-2.png)\n",
     "[figure source in Appendix](06.00-Figure-Code.ipynb#Bias-Variance-Tradeoff-Metrics)\n",
     "\n",
-    "The score here is the $R^2$ score, or [coefficient of determineation](https://en.wikipedia.org/wiki/Coefficient_of_determination), which measures how well a model performs relative to a simple mean of the target values. $R^2=1$ indicates a perfect match, $R^2=0$ indicates the model does no better than simply taking the mean of the data, and negative values mean even worse models.\n",
+    "The score here is the $R^2$ score, or [coefficient of determination](https://en.wikipedia.org/wiki/Coefficient_of_determination), which measures how well a model performs relative to a simple mean of the target values. $R^2=1$ indicates a perfect match, $R^2=0$ indicates the model does no better than simply taking the mean of the data, and negative values mean even worse models.\n",
     "From the scores associated with these two models, we can make an observation that holds more generally:\n",
     "\n",
     "- For high-bias models, the performance of the model on the validation set is similar to the performance on the training set.\n",