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Measuring performance of models
A Unified View of Performance Metrics: Translating Threshold Choice into Expected Classification Loss [just the Introduction; optional]
A Unified View of Performance Metrics: Translating Threshold Choice into Expected Classification Loss [just the Introduction; optional]
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http://www.jmlr.org/papers/volume13/hernandez-orallo12a/hernandez-orallo12a.pdf
link to open resource.
◄ List of performance scores (Wikipedia page about Confusion Matrix, useful as reference)
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Exam questions
Data for the third part
Submission form
How to Abuse p-values in Correlations [optional]
Homework 1: Data Visualization
Decision tree learning (Wikipedia) [mandatory read, but see remark]
Information Gain in Decision Trees (Wikipedia) [optional read]
Induction of Decision Trees (Quinlan, 1986) [optional read]
Cross validation (Wikipedia) [optional]
List of performance scores (Wikipedia page about Confusion Matrix, useful as reference)
tree-predictions.xlsx
Empty sheet for ROC
ROC Curve (and all kinds of performance scores) (Wikipedia) [mandatory to glance over, but not to learn all names by heart]
An introduction to ROC analysis (Fawcett, 2006) [mandatory: first seven sections]
Homework 2: Sara's Hamsters
Logistic regression (Shalizi, 2012) [mandatory, see below which parts]
Nomograms for Visualization of Naive Bayesian Classifier (Možina, 2004) [mandatory, you may skip Section 2]
A nice explanation of the kernel trick [mandatory]
Kernel Methods for Pattern Analysis (Shawe-Taylor, Christiannini, 2004) [optional, beyond this course]
Random Forests (Breiman, 2001) [optional]
The Random Subspace Method for Constructing Decision Forests (Ho, 1998) [optional]
Classifiers and decision boundaries
Elements of Statistical Learning [optional, way beyond this course]
Introduction to Data Mining, Chapter 8: Cluster Analysis: Basic Concepts and Algorithms (Tan P-N, Kumar, 2006) [mandatory, see below]
Indian Food Dataset
Exploring linkages in hierarchical clustering
Clustering data sets
FreeViz—An intelligent multivariate visualization approach to explorative analysis of biomedical data (Demšar, 2007) [optional]
Analysis of Multivariate Social Science Data, Chapter 3: Multidimensional Scaling (Bartholomew, 2008) [recommended]
Distances
Allahyari et al. - A Brief Survey of Text Mining
Bird and Klein: Regular Expressions for Natural Language Processing
Ramos: Using TF-IDF to Determine Word Relevance in Document Queries
An opinion word lexicon and a training dataset for Russian sentiment analysis of social media
Text Mining course notes
Liu, Bing: Sentiment Analysis and Opinion Mining
Text mining
animals and fruits
tree-predictions.xlsx ►