Datasets format and objective metric for image classification
In this section we learn about the available formats for datasets used in image classification as well as the objective metric used to evaluate the predictive quality of machine learning model candidates. The metrics calculated for candidates are specified using an array of MetricDatum types.
Datasets formats
Autopilot supports .png, .jpg, and .jpeg image formats. If your dataset contains all
.png images use image/png, if it contains all .jpg or .jpeg images use
image/jpeg, and if your dataset contains a mix of image formats use
image/*.
Objective metric
The following list contains the names of the metrics that are currently available to measure the performance of models for image classification.
Accuracy-
The ratio of the number of correctly classified items to the total number of (correctly and incorrectly) classified items. Accuracy measures how close the predicted class values are to the actual values. Values for accuracy metrics vary between zero (0) and one (1). A value of 1 indicates perfect accuracy, and 0 indicates perfect inaccuracy.
