DEVELOPMENT... OpenML
Run
120919

Run 120919

Task 3646 (Supervised Classification) rabe_265 Uploaded 11-12-2014 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
0.6714
Per class
Build CPU time
0.8712
Build memory
995500334.902
F measure
0.7047
Per class
Kappa
0.3885
KB relative information score
19.8183
Mean absolute error
0.293
Mean prior absolute error
0.485
Number of instances
51
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7041
Per class
Predictive accuracy
0.7059
Prior entropy
0.9791
Recall
0.7059
Per class
Relative absolute error
0.6041
Root mean prior squared error
0.4922
Root mean squared error
0.5316
Root relative squared error
1.0802
SciMark benchmark
936.914