DEVELOPMENT... OpenML
Run
138943

Run 138943

Task 1817 (Supervised Classification) vehicle Uploaded 31-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_REPTree(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_REPTree(2)_I20
weka.AdaBoostM1_REPTree(2)_P100
weka.AdaBoostM1_REPTree(2)_S1
weka.AdaBoostM1_REPTree(2)_Wweka.classifiers.trees.REPTree
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_V0.001

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
0.9115
Per class
Build CPU time
0.1141
Build memory
195850741.6
F measure
0.7369
Per class
Kappa
0.6551
KB relative information score
2864.1082
Mean absolute error
0.141
Mean prior absolute error
0.3748
Number of instances
4230
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7333
Per class
Predictive accuracy
0.7414
Prior entropy
1.9991
Recall
0.7414
Per class
Relative absolute error
0.3762
Root mean prior squared error
0.4329
Root mean squared error
0.3103
Root relative squared error
0.7168
SciMark benchmark
941.7846