DEVELOPMENT... OpenML
Run
39164

Run 39164

Task 4445 (Supervised Classification) fri_c1_100_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)_I40
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
0.7618
Per class
Build CPU time
0.5542
Build memory
882455923.04
F measure
0.7458
Per class
Kappa
0.4827
KB relative information score
446.0096
Mean absolute error
0.2758
Mean prior absolute error
0.4929
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
0.746
Per class
Predictive accuracy
0.747
Prior entropy
0.99
Recall
0.747
Per class
Relative absolute error
0.5596
Root mean prior squared error
0.4964
Root mean squared error
0.472
Root relative squared error
0.9509
SciMark benchmark
941.9633