Data
Crash

Crash

active ARFF Publicly available Visibility: public Uploaded 07-10-2014 by Joaquin Vanschoren
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Author: Source: Unknown - Date unknown Please cite: Datasets of Data And Story Library, project illustrating use of basic statistic methods, converted to arff format by Hakan Kjellerstrand. Source: TunedIT: http://tunedit.org/repo/DASL DASL file http://lib.stat.cmu.edu/DASL/Datafiles/Crash.html Crash Test Dummies Reference: National Transportation Safety Administration Authorization: free use Description: Data based on trials in which stock automobiles are crashed into a wall at 35MPH with dummies in the driver and front passenger seat. Number of cases: 352 Variable Names: make: Car make Model: Model of that car carID: Usually the combination of make and model carID_&_Year: Full ID of the car Head_IC: Head injury criterion Chest_decel: Chest deceleration L_Leg: Left femur load R_Leg: Right femur load D/P: Whether the dummy is in the Driver or Passenger seat Protection: Kind of protection (seat belt, air bag, etc.) Doors: Number of doors on the car Year: Year of the car Wt: Weight in pounds Size: A categorical variable to classify the cars to a type (light, minivan)

0 features

Head_IC (target)numeric306 unique values
12 missing
makenominal37 unique values
0 missing
Model (ignore)string143 unique values
0 missing
carIDnominal145 unique values
0 missing
carID_and_Yearnominal174 unique values
0 missing
Chest_decelnumeric46 unique values
11 missing
L_Legnumeric318 unique values
9 missing
R_Legnumeric303 unique values
11 missing
D_Pnominal2 unique values
0 missing
Protectionnominal5 unique values
0 missing
Doorsnumeric2 unique values
66 missing
Yearnumeric5 unique values
0 missing
Wtnumeric148 unique values
0 missing
Sizenominal8 unique values
0 missing
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14 tasks

Supervised Classification on Crash
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: predictive_accuracy - target_feature: Size
Supervised Regression on Crash
0 runs - estimation_procedure: 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: Head_IC
Supervised Regression on Crash
0 runs - estimation_procedure: 10 times 10-fold Crossvalidation - evaluation_measure: mean_absolute_error - target_feature: Head_IC
Clustering on Crash
0 runs - estimation_procedure: 50 times Clustering
Clustering on Crash
0 runs - estimation_procedure: 50 times Clustering
Clustering on Crash
0 runs - estimation_procedure: 50 times Clustering
Clustering on Crash
0 runs - estimation_procedure: 50 times Clustering
Clustering on Crash
0 runs - estimation_procedure: 50 times Clustering
Clustering on Crash
0 runs
Clustering on Crash
0 runs - estimation_procedure: 50 times Clustering
Clustering on Crash
0 runs - estimation_procedure: 50 times Clustering
Clustering on Crash
0 runs - estimation_procedure: 50 times Clustering
Clustering on Crash
0 runs - estimation_procedure: 50 times Clustering
Clustering on Crash
0 runs - estimation_procedure: 50 times Clustering
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