Sentence examples for ml model from inspiring English sources

In their method, an inlier map modelled via MRF is included in the ML model.

In this method, an inlier map modelled via MRF is included in the ML model.

This leads to the rise of ML model heterogeneity.

(a) Receiver operating characteristic (ROC) curve for the classification ML model.

Each of these training/test splits provides a unique way for evaluating whether a ML model can accurately assess previously-unobserved combinations of elements.

Conventionally, constructing an effective ML model requires first developing a suitable representation for the input data as shown in Fig. 1.

Evidently, the model exhibits positive bias toward predicting insulators, where bias refers to whether a ML model tends to over- or under-estimate the predicted property.

In deriving the analytical asymptotic variance-covariance matrix for the panel ML model, used to determine the efficiency of a design, we show that it is far more complex than the cross-sectional ML model (assuming independent choice observations).

Impact of training dataset size on the prediction accuracy of ElemNet (DNN model) using elemental compositions only and the best conventional ML model, Random Forest, with either raw elemental compositions (RF-Comp) and physical attributes (RF-Phys).

The right side illustrates the cumulative distribution function (CDF) of the prediction errors for ElemNet and Random Forest (the best performing conventional ML model) with elemental fractions (RF-Comp) and physical attributes (RF-Phys).

(b) Shows the MAE for different depths of deep learning model architectures and also illustrates mean absolute error of the best performing conventional ML model trained using physical attributes computed on the same training and test sets.