491 search results for "evaluation"

Some programming language theory in R

January 1, 2016
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Some programming language theory in R

Let’s take a break from statistics and data science to think a bit about programming language theory, and how the theory relates to the programming language used in the R analysis platform (the language is technically called “S”, but we are going to just call the whole analysis system “R”). Our reasoning is: if you … Continue reading...

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Set up Sublime Text for light-weight all-in-one data science IDE

December 23, 2015
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Set up Sublime Text for light-weight all-in-one data science IDE

tl;dr Sublime Text is a powerful text editor. Here I introduce how to add custom REPL config for remote/local R, Python, Scala, Spark, Hive, you name it (this is only tested for OS X). The example below interprets local Python (top), R (middle) and Hive (bottom) code on remote. IDE for everything Good IDEs are everywhere. RStudio for R, Pycharm for...

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Fraud Detection with R and Azure

December 22, 2015
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Fraud Detection with R and Azure

Detecting fraudulent transactions is a key applucation of statistical modeling, especially in an age of online transactions. R of course has many functions and packages suited to this purpose, including binary classification techniques such as logistic regression. If you'd like to implement a fraud-detection application, the Cortana Analytics gallery features an Online Fraud Detection Template. This is a step-by...

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Making Sense of Logarithmic Loss

December 14, 2015
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Making Sense of Logarithmic Loss

Logarithmic Loss, or simply Log Loss, is a classification loss function often used as an evaluation metric in kaggle competitions. Since success in these competitions hinges on effectively minimising the Log Loss, it makes sense to have some understanding of how this metric is calculated and how it should be interpreted. Log Loss quantifies the The post

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In Search Of…

December 13, 2015
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In Search Of…

Rafael Ladeira asked on github: I was wondering why it doesn't implement some others algorithms for search for optimal tuning parameters. What would be the caveats of using a genetic algorithm , for instance, instead of grid or random search? Do y...

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Data, data, data

December 13, 2015
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Data, data, data

Having presented preliminary findings from a national sample of therapeutic communities in Brazil, I thought the Babbage's words fits like a glove for those criticizing quantitative approaches for policy evaluations: the "Errors using inadequate data are much less than those using no data at all” (Charles Babbage).

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Data, data, data

December 13, 2015
By
Data, data, data

Having presented preliminary findings from a national sample of therapeutic communities in Brazil, I thought the Babbage’s words fits like a glove for those criticizing quantitative approaches for policy evaluations: the “Errors using inadequate data are much less than those using no data at all” (Charles Babbage).

Read more »

Data, data, data

December 13, 2015
By
Data, data, data

Having presented preliminary findings from a national sample of therapeutic communities in Brazil, I thought the Babbage’s words fits like a glove for those criticizing quantitative approaches for policy evaluations: the “Errors using inadequate data are much less than those using no data at all” (Charles Babbage).

Read more »

Comparing total QBR with Passer Rating-Who are the most underrated and overrated passer in NFL

December 11, 2015
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Comparing total QBR with Passer Rating-Who are the most underrated and overrated passer in NFL

Total Quarterback Rating (Total QBR) is a measure for QB performance created by ESPN in 2011. It was intended to overcome obivous drawbacks of passer rating, which is purely based on passing stats. Total QBR evaluates each play and assigns a value according to many factors (like outcome of the play) including subjective ones, such as how clutch the throw was, how much pressure the...

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Book review: Advanced R

December 7, 2015
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Book review: Advanced R

I would like to call this the best second book on R, except that I wouldn’t know what the first one would be. I learned R from classes and tutorials about 10 years ago, used it on my PhD and four articles, and use it today on a daily basis at work; yet only now,

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