DEVELOPMENT... OpenML
Run
121729

Run 121729

Task 9 (Supervised Classification) autos Uploaded 12-12-2014 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)_I160
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
0.8793
Per class
Build CPU time
214.5142
Build memory
72433953.9122
F measure
0.8039
Per class
Kappa
0.7447
KB relative information score
154.5259
Mean absolute error
0.0554
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
0.8079
Per class
Predictive accuracy
0.8049
Prior entropy
2.3268
Recall
0.8049
Per class
Relative absolute error
0.2507
Root mean prior squared error
0.3318
Root mean squared error
0.2346
Root relative squared error
0.7072
SciMark benchmark
925.7673

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