DEVELOPMENT... OpenML
Run
109556

Run 109556

Task 3857 (Supervised Classification) vehicle Uploaded 09-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_IBk(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.AdaBoostM1_IBk(2)_I40
weka.AdaBoostM1_IBk(2)_P100
weka.AdaBoostM1_IBk(2)_S1
weka.AdaBoostM1_IBk(2)_Wweka.classifiers.lazy.IBk
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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.

21 Evaluation measures

Area under ROC curve
0.9556
Per class
Build CPU time
0.1335
Build memory
67438634.4492
F measure
0.9648
Per class
Kappa
0.9087
KB relative information score
756.5125
Mean absolute error
0.0367
Mean prior absolute error
0.3828
Number of instances
846
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9654
Per class
Predictive accuracy
0.9645
Prior entropy
0.8241
Recall
0.9645
Per class
Relative absolute error
0.0958
Root mean prior squared error
0.4374
Root mean squared error
0.1881
Root relative squared error
0.43
SciMark benchmark
923.9118