DEVELOPMENT... OpenML
Run
39419

Run 39419

Task 3734 (Supervised Classification) fri_c1_500_5 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
0.9374
Per class
Build CPU time
0.58
Build memory
1145870860
F measure
0.9018
Per class
Kappa
0.8026
KB relative information score
399.8324
Mean absolute error
0.1
Mean prior absolute error
0.4977
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
0.9023
Per class
Predictive accuracy
0.902
Prior entropy
0.9967
Recall
0.902
Per class
Relative absolute error
0.201
Root mean prior squared error
0.4988
Root mean squared error
0.3086
Root relative squared error
0.6187
SciMark benchmark
940.0668