DEVELOPMENT... OpenML
Run
106528

Run 106528

Task 3574 (Supervised Classification) rmftsa_sleepdata Uploaded 09-12-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.AdaBoostM1_BFTree(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_BFTree(2)_I10
weka.AdaBoostM1_BFTree(2)_P100
weka.AdaBoostM1_BFTree(2)_S1
weka.AdaBoostM1_BFTree(2)_Wweka.classifiers.trees.BFTree
weka.BFTree(2)_Ctrue
weka.BFTree(2)_M2
weka.BFTree(2)_N5
weka.BFTree(2)_PPOSTPRUNED
weka.BFTree(2)_S1

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
0.6905
Per class
Build CPU time
1.1152
Build memory
1428446654.7422
F measure
0.4727
Per class
Kappa
0.2541
KB relative information score
140.4193
Mean absolute error
0.3354
Mean prior absolute error
0.3514
Number of instances
1024
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4703
Per class
Predictive accuracy
0.4854
Prior entropy
1.8507
Recall
0.4854
Per class
Relative absolute error
0.9543
Root mean prior squared error
0.4191
Root mean squared error
0.4033
Root relative squared error
0.9621
SciMark benchmark
906.4221