DEVELOPMENT... OpenML
Run
35615

Run 35615

Task 2113 (Supervised Classification) solar-flare Uploaded 28-10-2014 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)_I10
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
Per class
Build CPU time
0.024
Build memory
117239632
F measure
0.9953
Per class
KB relative information score
-4.0423
Mean absolute error
0.0051
Mean prior absolute error
0.0246
Number of instances
106
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
1
Per class
Predictive accuracy
0.9906
Prior entropy
0.1666
Recall
0.9906
Per class
Relative absolute error
0.2061
Root mean prior squared error
0.0246
Root mean squared error
0.0522
Root relative squared error
2.1215
SciMark benchmark
942.0655