How-severe-can-an-airplane-accident-be-

Predict the severity of airplane accidents caused due to various factors.

Data:

The dataset comprises 3 files:

Train.csv: [10000 x 12 excluding the headers] contains Training data Test.csv: [2500 x 11 excluding the headers] contains Test data sample_submission.csv: contains a sample of the format in which the Results.csv needs to be

Data Description:

Columns Description

-Accident_ID unique id assigned to each row
-Accident_Type_Code the type of accident (factor, not numeric)
-Cabin_Temperature the last recorded temperature before the incident, measured in degrees fahrenheit
-Turbulence_In_gforces the recorded/estimated turbulence experienced during the accident
-Control_Metric an estimation of how much control the pilot had during the incident given the factors at play
-Total_Safety_Complaints number of complaints from mechanics prior to the accident
-Days_Since_Inspection how long the plane went without inspection before the incident
-Safety_Score a measure of how safe the plane was deemed to be
-Violations number of violations that the aircraft received during inspections
-Severity\ a description (4 level factor) on the severity of the crash [Target]