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So far, most of the serious gaming studies and instances have been aimed at supporting informal learning outside the school contexts, or carrying out short-term learning experiments for testing educational hypotheses (Tobias et al. 2011).
The hyperparameters (the regularization constant C and Gaussian kernel width) have been adjusted by repeating the learning experiments for the set of their predefined values and choosing the best one for the validation data set.
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The paper focuses on a PID controller learning experiment, for which a tool to analyse results was developed.
"It's a learning experiment for us more than an opportunity to make money," said Michael Slinger, Google's head of mobile search advertising sales in North America.
It was shown that diagnosis results using K-SVM are 99.74, 99.78, and 99.81 for learning experiments with amount 50, 60, and 70% data respectively, and 99.82, 99.85, and 99.90 for testing experiments with amount 50, 60, and 70% data respectively.
This article compares the model predictions to human generalization judgments in several well-known category learning experiments, and finds good agreement for both average and individual participant generalizations.
We conclude with recommendations for future teacher learning experiments.
Data scientists and developers spend a lot of time configuring the right environment needed for creating machine learning experiments and models.
For our machine learning experiments we used the WEKA machine learning toolkit [ 37].
While evaluating performance during 10-fold CV, we obtain the F1 on 1-fold of a task by averaging the F1 across all pairwise learning experiments that involve (see Section 4.3 for details).
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