DEVELOPMENT... OpenML
Run
44489

Run 44489

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)_I160
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
0.4897
Per class
Build CPU time
0.5062
Build memory
931680287.5492
F measure
0.9593
Per class
Kappa
-0.019
KB relative information score
-1074.6105
Mean absolute error
0.0381
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
0.9619
Prior entropy
0.1666
Recall
0.9619
Per class
Relative absolute error
0.8436
Root mean prior squared error
0.1456
Root mean squared error
0.1951
Root relative squared error
1.3393
SciMark benchmark
947.0987