DEVELOPMENT... OpenML
Run
40521

Run 40521

Task 3670 (Supervised Classification) fri_c4_500_50 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)_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
0.9134
Per class
Build CPU time
9.6654
Build memory
685044508
F measure
0.882
Per class
Kappa
0.7634
KB relative information score
378.0616
Mean absolute error
0.122
Mean prior absolute error
0.4984
Number of instances
500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8821
Per class
Predictive accuracy
0.882
Prior entropy
0.9978
Recall
0.882
Per class
Relative absolute error
0.2448
Root mean prior squared error
0.4992
Root mean squared error
0.3431
Root relative squared error
0.6873
SciMark benchmark
945.8914