DEVELOPMENT... OpenML
Run
110258

Run 110258

Task 1785 (Supervised Classification) car 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)_I160
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
0.984
Per class
Build CPU time
0.1173
Build memory
36026639.2
F measure
0.8819
Per class
Kappa
0.7443
KB relative information score
5302.6105
Mean absolute error
0.1118
Mean prior absolute error
0.229
Number of instances
8640
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.887
Per class
Predictive accuracy
0.8907
Prior entropy
1.2099
Recall
0.8907
Per class
Relative absolute error
0.4883
Root mean prior squared error
0.3381
Root mean squared error
0.2083
Root relative squared error
0.616
SciMark benchmark
908.8705