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Diary of a Data Scientist

Exploring the world of data mining and the triumphs and challenges experienced first hand from our in-house data scientists.

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Diary of a Data Scientist | diaryofadatascientist.com Reviews
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Exploring the world of data mining and the triumphs and challenges experienced first hand from our in-house data scientists.
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6 data science
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9 interpretability over accuracy
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Diary of a Data Scientist | diaryofadatascientist.com Reviews

https://diaryofadatascientist.com

Exploring the world of data mining and the triumphs and challenges experienced first hand from our in-house data scientists.

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diaryofadatascientist.com diaryofadatascientist.com
1

The Costs of Misclassifications — Diary of a Data Scientist

http://www.diaryofadatascientist.com/home/the-costs-of-misclassifications

A Blog by Salford Systems. Exploring the world of data mining and the triumphs and challenges experienced first hand from our in-house data scientists. Diary of a Data Scientist. The Costs of Misclassifications. Did you know some hospitals use robots to clean hospital rooms to reduce the risk of infection? What if someone does not have an infection but is treated as if they do? Which mistake would be worse? Model A and B behave differently. Model A favors false negatives (170; lower left corner) wher...

2

Be a Contributor — Diary of a Data Scientist

http://www.diaryofadatascientist.com/be-a-contributor

A Blog by Salford Systems. Exploring the world of data mining and the triumphs and challenges experienced first hand from our in-house data scientists. Diary of a Data Scientist. Be a contributor to our newest blog, Diary of a Data Scientist. Clink on the following button to be a guest writer for our blog! We are looking for insightful thoughts about data science, whether you consider yourself a "scientist" or not! A Blog by Salford Systems. A Blog by Salford Systems.

3

The Perfect Model for Every Scenario — Diary of a Data Scientist

http://www.diaryofadatascientist.com/home/2016/8/4/the-perfect-model-for-every-scenario

A Blog by Salford Systems. Exploring the world of data mining and the triumphs and challenges experienced first hand from our in-house data scientists. Diary of a Data Scientist. The Perfect Model for Every Scenario. First of all, I’m not a data scientist. I am a statistician at an internship for a company that makes machine learning software. I’m still a student, and I will be for the foreseeable future. Maybe it’s just my professors speaking, but it is a bit aggravating to hear a few models triumphed a...

4

The 5 Tips and Tricks for Communicating in Data Science — Diary of a Data Scientist

http://www.diaryofadatascientist.com/home/5-tips-and-tricks-for-communicating-in-data-science

A Blog by Salford Systems. Exploring the world of data mining and the triumphs and challenges experienced first hand from our in-house data scientists. Diary of a Data Scientist. The 5 Tips and Tricks for Communicating in Data Science. 1 Jump Right In! 2 Actively Manage Context. 3 Keep the Details Lean. The entire scope of a project can usually fit into a more simplified figure like this:. 4 Always Be Summarizing. How is it important and what’s the best way to communicate that? 5 Bring it Back Home.

5

Subscribe — Diary of a Data Scientist

http://www.diaryofadatascientist.com/subscribe

A Blog by Salford Systems. Exploring the world of data mining and the triumphs and challenges experienced first hand from our in-house data scientists. Diary of a Data Scientist. Join us in the world of data mining and follow the triumphs and challenges experienced by our in-house data scientists. A Blog by Salford Systems. A Blog by Salford Systems.

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dansteinbergblog.com dansteinbergblog.com

Linear Combination Splits in Decision Trees - Dan Steinberg's Blog

http://www.dansteinbergblog.com/dan-steinberg/linear-combination-splits-in-decision-trees

Subscribe to this Blog. Linear Combination Splits in Decision Trees. Decision trees, and CART in particular, were originally designed to split data using a single predictor. For continuous predictors the split is the form:. If X = c hen go left. For categorical predictors the split is of the form:. If X is in { value1, value2,.} then go left. If a1X1 a2X2 a3X3. Linear Combination Lists (LCLISTS). LCLIST X1, X2, X3, X4. LCLIST X5, X6. LCLIST X7, X8, X9. These commands will not only activate the search for...

dansteinbergblog.com dansteinbergblog.com

Rules of Thumb When Working With Small Data Samples - Dan Steinberg's Blog

http://www.dansteinbergblog.com/dan-steinberg/rules-of-thumb-when-working-with-small-data-samples

Subscribe to this Blog. Rules of Thumb When Working With Small Data Samples. The original CART monograph discusses a study the authors performed working with 215 observations and 19 predictors, where 37 records were of class 1 and 178 of class 0. We think that this is example, with 37 examples in the smaller class is close the smallest sample size you can usefully work with CART. First, it is strongly advised that the minimum node size be lowered from the default of 10 to as low as 3. Of course repea...

dansteinbergblog.com dansteinbergblog.com

The Shape of the Trees in Gradient Boosting Machines - Dan Steinberg's Blog

http://www.dansteinbergblog.com/dan-steinberg/the-shape-of-the-trees-in-gradient-boosting-machines

Subscribe to this Blog. The Shape of the Trees in Gradient Boosting Machines. Above we start our tree by splitting the root node and of course all tree growing strategies start here. The question now is which node do we split next? The Friedman approach is to split both left and right child nodes but to keep only the better of the two. Thus the tree below is one that is possibly grown by TreeNet Gradient Boosting having only three terminal nodes. Breiman, L., Friedman, J. H., Olshen, R. A...Friedman, J&#...

dansteinbergblog.com dansteinbergblog.com

Salford Systems' Blog - Data Mining and Predictive Analytics Software

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Subscribe to this Blog. What type of automation does a data scientist need? The Shape of the Trees in Gradient Boosting Machines. Adding Comments to Your Saved Grove Files. A Reminder About Missing Values. Finding The Automatically Stored Command Log. Controlling Node Sizes in a CART Tree. Differences Between Train and Test Performance Results. Displaying and Saving Numerical Results Precisely. Does CART allow multiple targets? CART vs. The Clones. A Few Comments On Boosting Decision Trees. How to Run GU...

dansteinbergblog.com dansteinbergblog.com

Differences Between Train and Test Performance Results - Dan Steinberg's Blog

http://www.dansteinbergblog.com/dan-steinberg/differences-between-train-and-test-performance-results

Subscribe to this Blog. Differences Between Train and Test Performance Results. Using a slower learn rate,. Growing smaller trees, or. Removing some potentially strong predictors from the model. Any and all of these modifications can lead to improved train/test alignment. We offer these answers to the following specific questions:. Are large differences between train and test results common? Is this in and of itself a problem? Mdash;Large divergences between train and test performance in TreeNet models a...

dansteinbergblog.com dansteinbergblog.com

Conversation with Leo Breiman on using Out of Bag (OOB) data for pruning Bagged Trees - Dan Steinberg's Blog

http://www.dansteinbergblog.com/dan-steinberg/e-mail-conversation-with-leo-breiman-on-using-out-of-bag-oob-data-for-pruning-bagged-trees

Subscribe to this Blog. E-mail Conversation with Leo Breiman on using Out of Bag (OOB) data for pruning Bagged Trees. The emails here are a selection of messages I received from Leo in mid–1995 on the topic. Unfortunately, we do not appear to have any copies of my side of the conversation. We hope to post other messages from Leo here from time to time as his remarks covered a very broad range of topics pertaining to trees and data mining. Tue Jun 6 10:07:15 1995. Date: Tue, 6 Jun 1995 10:07. The reason I...

dansteinbergblog.com dansteinbergblog.com

How many levels can a target variable have in CART® and other SPM data mining engines? - Dan Steinberg's Blog

http://www.dansteinbergblog.com/dan-steinberg/how-many-levels-can-a-target-variable-have-in-cart-and-other-spm-data-mining-engines

Subscribe to this Blog. How many levels can a target variable have in CART and other SPM data mining engines? Other SPM data mining engines. Subscribe to this Blog. What type of automation does a data scientist need? The Shape of the Trees in Gradient Boosting Machines. Adding Comments to Your Saved Grove Files. A Reminder About Missing Values. Finding The Automatically Stored Command Log. Controlling Node Sizes in a CART Tree. Differences Between Train and Test Performance Results. How many levels can a...

dansteinbergblog.com dansteinbergblog.com

Does CART allow multiple targets? - Dan Steinberg's Blog

http://www.dansteinbergblog.com/dan-steinberg/does-cart-allow-multiple-targets

Subscribe to this Blog. Does CART allow multiple targets? There are two ways to interpret your question:. Does CART allow multi–class targets (eg, a class label with values 1,2,3,.etc). CART has been used in real world classification problems with more than 400 classes. Does CART allow you to build a single model that will simultaneously predict more than one different target? This topic has been on our radar screen for decades! Target 1 target 2 new composite target. If you build a single CART tree usin...

dansteinbergblog.com dansteinbergblog.com

Modeling tricks with TreeNet: Treating Categorical Variables as Continuous - Dan Steinberg's Blog

http://www.dansteinbergblog.com/dan-steinberg/modeling-tricks-with-treenet-treating-categorical-variables-as-continuous

Subscribe to this Blog. Modeling tricks with TreeNet: Treating Categorical Variables as Continuous. Therefore, were we to run a regression that treated X as continuous, any slope we discovered would be an illusion. Further, X treated as continuous in a regression would embed the notion that a value of "3" for X is not just larger than the value of "1," but is specifically three times larger. Does this mean that you should simply declare all variables as continuous? Subscribe to this Blog. Modeling Compet...

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Diary of a Data Scientist

A Blog by Salford Systems. Exploring the world of data mining and the triumphs and challenges experienced first hand from our in-house data scientists. Diary of a Data Scientist. So What Do You Do? How to Talk About Data Science, Diverse Data and Technologies by Starting with Your Results. Leading with current results and building value first is a boon to everyone. The Perfect Model for Every Scenario. Plunk it right in there. It’s all the same. The Costs of Misclassifications. If you search for top skil...

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