SecurityAdm: Created page with " MoEv tool was used. MoEv is a general-purpose tool that allows for building classification models from labeled datasets moev. In addition, MoEv allows for performing data cle..."

2020-10-28T09:35:58Z

Created page with " MoEv tool was used. MoEv is a general-purpose tool that allows for building classification models from labeled datasets moev. In addition, MoEv allows for performing data cle..."

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MoEv tool was used. MoEv is a general-purpose tool that allows for building classification models from labeled datasets moev. In addition, MoEv allows for performing data cleaning and pre-processing operations. It has been successfully used in different research areas such us jamming attacks detection on real-time location systems, academic success prediction at educational institutions or to detect network attacks.

The set of models that can be trained with MoEv are:

{| class="wikitable"

|-
! Models
|-
| Adaptive Boosting
|-
| Bagging Classifier
|-
| Bernoulli Restricted Boltzmann Machine
|-
| Classification And Regression Tree
|-
| K-Nearest Neighbors
|-
| Linear Discriminant Analysis
|-
| Naive Bayes
|-
| One-vs-the-rest
|-
| Quadratic Discriminant Analysis
|-
| Random Forest
|-
| Stochastic Gradient Descent
|}

The diagram of how MoEv is developed internally is as follows:

[[File:ComponentsDiagramMoEv.png|frameless|center|860px]]

After running MoEv you will get an output similar to this:

KNeighbors_Classifier

Accuracy for model is: '''0.964116'''

Classification report:

precision recall f1-score support

0 0.987845 0.942207 0.964486 198137
1 0.941017 0.987583 0.963738 184986

micro avg 0.964116 0.964116 0.964116 383123
macro avg 0.964431 0.964895 0.964112 383123
weighted avg 0.965235 0.964116 0.964125 383123

Confusion Matrix:

[186686 11451]
[ 2297 182689]

Moev - Revision history

SecurityAdm: Created page with " MoEv tool was used. MoEv is a general-purpose tool that allows for building classification models from labeled datasets moev. In addition, MoEv allows for performing data cle..."