DEVELOPMENT... OpenML
Run
121132

Run 121132

Task 3923 (Supervised Classification) datatrieve 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
0.5527
Per class
Build CPU time
2.9504
Build memory
761216336.8
F measure
0.8643
Per class
Kappa
0.0485
KB relative information score
-7.1439
Mean absolute error
0.1231
Mean prior absolute error
0.1601
Number of instances
130
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8531
Per class
Predictive accuracy
0.8769
Prior entropy
0.4395
Recall
0.8769
Per class
Relative absolute error
0.7687
Root mean prior squared error
0.2784
Root mean squared error
0.3508
Root relative squared error
1.2602
SciMark benchmark
941.4456