Subset the data to include only the accidents that occurred in one city or during one month. Develop a decision tree model that predicts whether an automobile accident results in fatal or severe injuries using predictor variables, such as traffic violation category, weather condition, type of collision, location of the accident, and lighting condition.

 

ID	County	City	Weekday	Severity	ViolCat	ClearWeather	Month	CrashType	Highway	Daylight
1	SAN DIEGO	SAN DIEGO	7	1	8	0	1	A	0	1
2	HUMBOLDT	UNINCORPORATED	4	1	8	1	1	A	1	0
3	VENTURA	OXNARD	2	1	12	1	2	A	0	1
4	STANISLAUS	UNINCORPORATED	4	1	1	1	1	A	0	0
5	MENDOCINO	UNINCORPORATED	5	1	1	1	1	A	1	0
6	LOS ANGELES	LONG BEACH	7	1	3	1	3	A	0	0
7	LOS ANGELES	LOS ANGELES	4	1	3	0	3	A	0	1
8	CALAVERAS	UNINCORPORATED	1	1	1	1	2	A	1	1
9	SAN BERNARDINO	HESPERIA	2	1	1	1	1	A	0	0
10	VENTURA	OXNARD	5	0	8	1	1	A	0	0
11	VENTURA	OXNARD	6	0	8	0	1	A	0	0
12	ORANGE	FULLERTON	4	0	9	1	2	A	0	0
13	SAN DIEGO	CHULA VISTA	1	0	3	1	1	A	0	0
14	ALAMEDA	OAKLAND	6	0	1	1	1	A	0	0
15	LOS ANGELES	LOS ANGELES	5	0	9	1	3	A	0	0
16	SANTA CLARA	MORGAN HILL	4	0	8	1	3	A	0	0
17	LOS ANGELES	LOS ANGELES	3	0	9	1	3	A	0	1
18	SAN JOAQUIN	UNINCORPORATED	3	0	8	1	3	A	0	1
19	LOS ANGELES	LOS ANGELES	5	0	9	1	4	A	0	1
20	ORANGE	FOUNTAIN VALLEY	4	0	8	1	1	A	0	1
21	RIVERSIDE	RIVERSIDE	5	0	9	1	1	A	0	1
22	ORANGE	ANAHEIM	2	0	9	1	1	A	0	0
23	CONTRA COSTA	WALNUT CREEK	4	0	1	1	1	A	0	0
24	SOLANO	FAIRFIELD	7	0	1	1	1	A	0	0
25	CONTRA COSTA	UNINCORPORATED	7	0	9	1	1	A	0	1
26	BUTTE	CHICO	5	0	9	1	1	A	0	1
27	EL DORADO	UNINCORPORATED	7	0	3	1	1	A	0	1
28	ORANGE	GARDEN GROVE	6	0	9	1	1	A	0	1
29	TUOLUMNE	UNINCORPORATED	3	0	8	1	1	A	1	0
30	SONOMA	UNINCORPORATED	6	0	9	1	1	A	0	1