IEEE Systems, Man and Cybernetics Magazine - January 2022 - 35

was searched from two to seven, and the best results
were obtained for k = 3.
◆ Naïve Bayes: No grid search was applied on the naïve
Bayes algorithm, only a 10-fold cross validation
was applied.
◆ Gaussian process: A gr id search was appl ied
for the RBF parameter. The grid parameter was
[. ,. ,. ,. ,. ,. ]
10 11 12 13 14 15 with a 10-fold cross validation.
The best results were found for an RBF of one.
◆ Linear SVMs: A classification (SVM), RBF SVM classification
(SVM), grid search, and 10-fold cross validation
were applied with the following parameter:
[. ,. ,. ,, ],
C 0 001 0010 11 10
==c 0 001 0010 112 The
[. ,. ,. ,,].
best value for the support vector classifier was found
to be c = 2 and C = 1.
◆ QDA: In this article, default parameters of the scikitlearn
package for QDA were used with a 10-fold cross
validation.
◆ Decision trees: A grid search was used with 10-fold
cross validation with the following parameters:
[ ,,,,,,,, ],
DepthLeaf [, ,,,].==15101520 The
23456789 10
best results were obtained for a depth of 5 and a leaf
of 10.
◆ AdaBoost: AdaBoost was grid searched with the following
number of estimators: [5,10,15,20,25,30,35,40]. A decision
tree with the aforementioned grid search was used as a
base estimator. A grid search was performed with 10-fold
cross-validation. The best result was found using 30 estimators
with a depth of 10 and a leaf of 15.
◆ MCCNs: For window slicing, the length of the slices
was set to 0.9 b, where b is the initial length of the
series. The number of filters was 256 for the CNN.
The space for the hyperparameter search was the filter
size, batch size, and pooling factor. We used a
batch size of {4, 8, 16, 32, 64}. The filter sizes were
searched in a grid space of {3, 5, 7, 9}. The grid space
for pooling was {2, 3, 5}. Two-hundred fifty-six neurons
were used for fully connected layers, and 128 neurons
were used for branches. We used a minibatch
stochastic gradient with momentum as the optimizing
algorithm. Early stopping was applied to a validation
error to avoid overfitting.

IEEE Systems, Man and Cybernetics Magazine - January 2022

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