Galaxy |

Galaxy | Tool Preview

Repository Actions

View repository View change log Browse repository tip files Download as a .tar.gz file Download as a .tar.bz2 file Download as a zip file

Evaluate a Fitted Model (version 1.0.11.0)

Choose the dataset containing pipeline/estimator object:

Select the primary metric (scoring)::

Metric to refit the best estimator.

Select input type::

Dataset containing features::

Does the dataset contain header::

Choose how to select data by column::

Select target column(s)::

Dataset containing class labels or target values::

Does the dataset contain header::

Choose how to select data by column::

Select target column(s)::

What it does

Given a fitted estimator and a labeled dataset, this tool outputs the performances of the fitted estimator on the labeled dataset with selected scorers.

For the estimator, this tool supports fitted sklearn estimators and trained deep learning models. For input datasets, it supports the following:

tabular
sparse

Output

A tabular file containing performance scores, e.g.:

accuracy	f1_macro	precision
0.8613	0.6759	0.7928