DEVELOPMENT... OpenML
Run
120615

Run 120615

Task 11 (Supervised Classification) balance-scale 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
0.9766
Per class
Build CPU time
40.5277
Build memory
45976442.1248
F measure
0.9394
Per class
Kappa
0.8912
KB relative information score
542.8824
Mean absolute error
0.0427
Mean prior absolute error
0.3798
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9418
Per class
Predictive accuracy
0.9376
Prior entropy
1.3212
Recall
0.9376
Per class
Relative absolute error
0.1124
Root mean prior squared error
0.4356
Root mean squared error
0.2027
Root relative squared error
0.4653
SciMark benchmark
942.0791