DEVELOPMENT... OpenML
Run
146066

Run 146066

Task 3507 (Supervised Classification) vehicle_sensIT Uploaded 31-01-2015 by Felicia West
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Flow

weka.AdaBoostM1_ADTree(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_I10
weka.AdaBoostM1_ADTree(2)_P100
weka.AdaBoostM1_ADTree(2)_S1
weka.AdaBoostM1_ADTree(2)_Wweka.classifiers.trees.ADTree

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.8997
Per class
F measure
0.8418
Per class
Kappa
0.6848
KB relative information score
58773.4671
Mean absolute error
0.2138
Mean prior absolute error
0.5
Number of instances
98528
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8474
Per class
Predictive accuracy
0.8424
Prior entropy
1
Recall
0.8424
Per class
Relative absolute error
0.4275
Root mean prior squared error
0.5
Root mean squared error
0.3463
Root relative squared error
0.6926
SciMark benchmark
915.2795
UserCPU time millis
5571900
UserCPU time millis testing
1200
UserCPU time millis training
5570700