DEVELOPMENT... OpenML
Run
120697

Run 120697

Task 1773 (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)_I40
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
0.8427
Per class
Build CPU time
17.4872
Build memory
288329868.3005
F measure
0.7097
Per class
Kappa
0.623
KB relative information score
653.8573
Mean absolute error
0.0832
Mean prior absolute error
0.2209
Number of instances
1025
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7104
Per class
Predictive accuracy
0.7102
Prior entropy
2.3268
Recall
0.7102
Per class
Relative absolute error
0.3765
Root mean prior squared error
0.3318
Root mean squared error
0.2851
Root relative squared error
0.8593
SciMark benchmark
923.3659