Evispot, Author at Evispot

Business value with the Evispot ML platform – 6 key features

Written by Evispot. Posted in Product.

Why Evispot Over the last several years, machine learning has become an integral part of many organizations’ decision-making processes at various levels. With not enough data scientists to fill the increasing demand for data-driven business processes,...

Partial dependence

Written by Evispot. Posted in Glossary, p, Uncategorized. Leave a Comment

Partial dependence is a measure of the average model prediction with respect to an input variable. Partial dependence plots display how machine-learned response functions change based on the values of an input variable of interest while taking nonlinearity...

Mitigate bias in credit decision models with Disparate Impact Analysis

Written by Evispot. Posted in Resources. Leave a Comment

Advantages of Machine learning in finance It is not a secret that machine learning (ML) can help you decrease model development time and increase accuracy when predicting credit decisions, portfolio analysis or churn analysis. Though in highly regulated...

Training data set

Written by Evispot. Posted in Glossary, t.

A training set is a subset of your data set which contains all the data points available to create a model during training.

Test data set

Written by Evispot. Posted in Glossary, t.

The test data set is used for the final stage scoring and is the data set for which model metrics will be computed against. Test set predictions will be available at the end of the experiment. This data set is not used during training of the modeling...

Target Leakage

Written by Evispot. Posted in Glossary, t.

Target leakage, sometimes called data leakage, is one of the most difficult problems when developing an AI model. It happens when you train your algorithm on a data set that includes information that would not be available at the time of prediction...

Author: Evispot

Business value with the Evispot ML platform – 6 key features

Partial dependence

Mitigate bias in credit decision models with Disparate Impact Analysis

Training data set

Test data set

Target Leakage

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