DEVELOPMENT... OpenML
Run
40650

Run 40650

Task 2932 (Supervised Classification) solar-flare Uploaded 29-10-2014 by Felicia West
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Flow

weka.MultiBoostAB_ADTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.ADTree(2)_B10
weka.ADTree(2)_E-3
weka.ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_C3
weka.MultiBoostAB_ADTree(2)_P100
weka.MultiBoostAB_ADTree(2)_S1
weka.MultiBoostAB_ADTree(2)_I80
weka.MultiBoostAB_ADTree(2)_Wweka.classifiers.trees.ADTree

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
0.4961
Per class
Build CPU time
0.2056
Build memory
756370819.6211
F measure
0.9595
Per class
Kappa
-0.0188
KB relative information score
-1033.6863
Mean absolute error
0.0376
Mean prior absolute error
0.0452
Number of instances
3230
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9568
Per class
Predictive accuracy
0.9622
Prior entropy
0.1666
Recall
0.9622
Per class
Relative absolute error
0.8326
Root mean prior squared error
0.1456
Root mean squared error
0.1935
Root relative squared error
1.3287
SciMark benchmark
941.5865