DEVELOPMENT... OpenML
Run
121497

Run 121497

Task 3675 (Supervised Classification) pbc 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)_I80
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
0.7265
Per class
Build CPU time
31.9071
Build memory
111621609.512
F measure
0.701
Per class
Kappa
0.3961
KB relative information score
166.3584
Mean absolute error
0.2964
Mean prior absolute error
0.495
Number of instances
418
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7011
Per class
Predictive accuracy
0.701
Prior entropy
0.9928
Recall
0.701
Per class
Relative absolute error
0.5989
Root mean prior squared error
0.4975
Root mean squared error
0.5402
Root relative squared error
1.0859
SciMark benchmark
899.4388