DEVELOPMENT... OpenML
Run
40989

Run 40989

Task 4297 (Supervised Classification) fri_c2_100_5 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
0.8472
Per class
Build CPU time
0.1808
Build memory
1309594473.84
F measure
0.8476
Per class
Kappa
0.6805
KB relative information score
676.6283
Mean absolute error
0.1526
Mean prior absolute error
0.4804
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8487
Per class
Predictive accuracy
0.849
Prior entropy
0.9721
Recall
0.849
Per class
Relative absolute error
0.3177
Root mean prior squared error
0.4899
Root mean squared error
0.386
Root relative squared error
0.7879
SciMark benchmark
942.9632

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