DEVELOPMENT... OpenML
Run
120042

Run 120042

Task 9 (Supervised Classification) autos Uploaded 10-12-2014 by Felicia West
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Flow

weka.AdaBoostM1_LMT(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_LMT(2)_I20
weka.AdaBoostM1_LMT(2)_P100
weka.AdaBoostM1_LMT(2)_S1
weka.AdaBoostM1_LMT(2)_Wweka.classifiers.trees.LMT
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

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
0.8999
Per class
Build CPU time
26.584
Build memory
545878370.7317
F measure
0.7948
Per class
Kappa
0.732
KB relative information score
152.2863
Mean absolute error
0.0589
Mean prior absolute error
0.2209
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7984
Per class
Predictive accuracy
0.7951
Prior entropy
2.3268
Recall
0.7951
Per class
Relative absolute error
0.2667
Root mean prior squared error
0.3318
Root mean squared error
0.2392
Root relative squared error
0.7211
SciMark benchmark
938.1146