DEVELOPMENT... OpenML
Run
120333

Run 120333

Task 3605 (Supervised Classification) sleep 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)_I20
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
0.7513
Per class
Build CPU time
0.5541
Build memory
1514447435.3548
F measure
0.7411
Per class
Kappa
0.4795
KB relative information score
26.8809
Mean absolute error
0.2826
Mean prior absolute error
0.498
Number of instances
62
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7419
Per class
Predictive accuracy
0.7419
Prior entropy
0.9972
Recall
0.7419
Per class
Relative absolute error
0.5675
Root mean prior squared error
0.499
Root mean squared error
0.5046
Root relative squared error
1.0113
SciMark benchmark
916.8903