Commands model:logistic_regression/test

[ALPHA] Predict test frame labels and return metrics.

POST /v1/commands/

GET /v1/commands/:id

Request

Route

POST /v1/commands/

Body

name:

model:logistic_regression/test

arguments:

model : Model

<Missing Description>

frame : Frame

Frame whose labels are to be predicted.

label_column : unicode

Column containing the actual label for each observation.

observation_columns : list (default=None)

Column(s) containing the observations whose labels are to be predicted and tested. Default is to test over the columns the SVM model was trained on.

Headers

Authorization: test_api_key_1
Content-type: application/json

Description

Predict the labels for a test frame and run classification metrics on predicted and target labels.

Response

Status

200 OK

Body

Returns information about the command. See the Response Body for Get Command here below. It is the same.

GET /v1/commands/:id

Request

Route

GET /v1/commands/18

Body

(None)

Headers

Authorization: test_api_key_1
Content-type: application/json

Response

Status

200 OK

Body

dict

A dictionary with binary classification metrics. The data returned is composed of the following keys:

‘accuracy’ : double

The proportion of predictions that are correctly identified

‘confusion_matrix’ : dictionary

A table used to describe the performance of a classification model

‘f_measure’ : double

The harmonic mean of precision and recall

‘precision’ : double

The proportion of predicted positive instances that are correctly identified

‘recall’ : double

The proportion of positive instances that are correctly identified.