## The data has been divided into 2 groups : 
* Train Set (**train_mobile.csv**) 
* Test Set (**test_mobile.csv**) 

The training set should be used to build your machine learning models. For the training set, you have `price_range` (it is our target or class label) for each mobile sales data point. The test dataset will be used to predict `price_range` on unseen data and compose your submission file. So, the test set does not have the `price_range` (target variable) for each mobile sales data point.

Use the model you trained to predict the price range for each data point in the test set. The training set contains 1500 data points. Each data point has 20 features and one target variable.

The test set contains 500 data points. Each data point has 20 features.

##The data contains the following fields:

* `battery_power` - total energy stored in the battery (in mAh)
* `blue` - has bluetooth (yes or no)
* `clock_speed` - processor speed when executes the instructions
* `dual_sim` - has dual sim capability (yes or no)
* `fc` - large resolution of front camera (in MegaPixels)
* `four_g` - has 4G connectivity (yes or no)
* `int_memory` - large internal memory (in GB)
* `m_dep` - mobile thickness (in cm)
* `mobile_wt` - mobile mass (in gram)
* `n_cores` - number of cores in the processors (pcs)
* `pc - large` resolution of rear camera (in MegaPixels)
* `px_height` - length of the pixel resolution
* `px_width` - width of the pixel resolution
* `ram` - capacity of Random Access Memory (in MB)
* `sc_h` - screen length (cm)
* `sc_w` - screen width (cm)
* `talk_time` - the longest call time that can be made from a fully charged mobile until it runs out (in hours)
* `three_g` - has 3G connectivity (yes or no)
* `touch_screen` - has touch screen (yes or no)
* `wifi` - has wifi (yes or no)
* `price_range` - this is the target variable with value of 0 (low cost), 1 (medium cost), 2 (high cost), 3 (very high cost)

## sample_submission.csv

The **sample_submission.csv** file is provided as an example of how you should structure your predictions. So, your submission should have:

* a `index` column containing unique id of each mobile from test_mobile.csv.
* a `price_range` column (that you will create!) with target values 0, 1, 2, 3.

Here is an example of [sample_submission.csv](https://www.kaggle.com/c/dru-kaggle-intro/overview/evaluation) file.

## Files

*   **train_mobile.csv** - the train set
*   **test_mobile.csv** - the test set
*   **sample_submission.csv** - a sample submission file in the correct format