Mobile-phones-price-prediction
Used dataset: https://www.kaggle.com/davisraimon/mobile-price-classification/data
Short description of the dataset:
Feature name |
Feature description |
Type |
id |
ID |
Numeric |
battery_power |
Total energy a battery can store in mAh |
Numeric |
blue |
Has bluetooth or not |
Boolean |
clock_speed |
Speed at which microprocessor executes instructions |
Numeric |
dual_sim |
Has dual sim support or not |
Boolean |
fc |
Front Camera mega pixels |
Numeric |
four_g |
Has 4G or not |
Boolean |
int_memory |
Internal Memory in Gigabytes |
Numeric |
m_dep |
Mobile Depth in cm |
Numeric |
mobile_wt |
Weight of mobile phone |
Numeric |
n_cores |
Number of cores of processor |
Numeric |
pc |
Primary Camera mega pixels |
Numeric |
px_height |
Pixel Resolution Height |
Numeric |
px_width |
Pixel Resolution Width |
Numeric |
ram |
Random Access Memory in Megabytes |
Numeric |
sc_h |
Screen Height of mobile in cm |
Numeric |
sc_w |
Screen Width of mobile in cm |
Numeric |
talk_time |
Longest time that battery will last by a call |
Numeric |
three_g |
Has 3G or not |
Boolean |
touch_screen |
Has touch screen or not |
Boolean |
wifi |
Has wifi or not |
Numeric |
Model name |
Accuracy |
KNN classifier with 9 NN |
92.8% |