**4. Results**

The investigation of the effect of the proposed models on the standard Android malware datasets was conducted using the Python programing language. The statistical analysis evaluated the results of the proposed models.

### *4.1. Splitting the Data*

The datasets were divided into 70% training and 30% testing data. The random function for splitting the training and testing was proposed. The training phase was applied to fit the models using the Android malware datasets. The test phase was designed to validate the proposed models using new data. Table 3 show the datasets' volume.

### **Table 3.** Volume of datasets.

