How to Assess Startups Using Machine Learning: Part III — The GASP For Predictive Modeling

Arturo Moreno
Nov 2, 2018 · 10 min read
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How to Assess Startups Using Machine Learning

The GASP framework to standardize data collection

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On the left: the GASP + Machine Learning — On the right: the GASP only

Step 1 — from GASP spreadsheets to datasets

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Example of a simplified GASP
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Without objectives, everything is a success!
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Partial view of the dataset

Step 2 — From dataset to predictive model

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Creating a source from a *csv file and a dataset takes a few seconds on PreSeries.
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Take the time to explore the variables that are part of your inbound form
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1 click Training | Testing split
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Creating a predictive model to decide on dealflow interviews with just a few clicks
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The decision tree we just created and an output summary. So far, 0 lines of code involved.
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Step 3— Seamlessly make predictions about your inbound dealflow

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Loading the PreSeries add-on on Google Spreadsheets
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Your dealflow model making predictions and showing the confidence
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PreSeries automates the VC experience
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This story is published in The Startup, Medium’s largest entrepreneurship publication followed by +384,399 people.

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The Startup

Medium's largest active publication, followed by +717K people. Follow to join our community.

Arturo Moreno

Written by

Chief Information Officer @Civitatis, MBA @MIT, Formerly: Co-Founder CEO @PreSeries, @BessemerVP, @Kensho @EshipMIT Practice Leader, President @MITFinTech

The Startup

Medium's largest active publication, followed by +717K people. Follow to join our community.

Arturo Moreno

Written by

Chief Information Officer @Civitatis, MBA @MIT, Formerly: Co-Founder CEO @PreSeries, @BessemerVP, @Kensho @EshipMIT Practice Leader, President @MITFinTech

The Startup

Medium's largest active publication, followed by +717K people. Follow to join our community.

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