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An automated approach to variable selection will be adopted, using the full range of APDC variables, because the purpose of predictive modelling is to create the best model to predict future events using the data available, rather than to test a priori hypotheses regarding the contribution of causal factors.
Intersected-lines model was found to be the best model to predict germination rate of purple basil (R2 = 0.9).
The results show that DNN is the best model to predict demand load in Iran (RMSE = 73.15%).
Traditionally, R 2 along with the AIC approach are used throughout the comparative study to select the best model to predict the Fanning friction factor.
The Coulaloglou and Tavlarides model was found to be the best model to predict the experimental data for both test systems.
Our results show that Deep Learning model can be used effectively for financial sentiment analysis and a convolutional neural network is the best model to predict sentiment of authors in StockTwits dataset.
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The best models to predict the optimal alpha value contained the ACI-index, which indicates that within-crown transmittance is accounted by the triangulation approach.
In our study, second-order and first order regressions were fit the best models to predict CO2 flux at various slope positions based, respectively, on soil moisture content and soil temperature, with respective R2 ranging from 0.532 to 0.661 and 0.234 to 0.448.
The CCD proved to be best statistical model to predict the response with good accuracy and reliability.
The obtained statistical parameters showed that LM algorithm with 38 neurons in a single hidden layer looks as the best ANN model to predict the annual power generation (PGnet) and levelized cost of electricity (LCOE) of the presented PTSTPP.
On multivariate regression analyses, the very best composite model to predict total scores from both surveys was a model containing the distance-saturation product and Borg Dyspnea Scale score at the end of a 6-min walk test.
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