DEVELOPMENT... OpenML
Run
35806

Run 35806

Task 4706 (Supervised Classification) pc1_req 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
0.599
Per class
Build CPU time
0.0785
Build memory
416298508
F measure
0.6434
Per class
Kappa
0.1788
KB relative information score
743.1023
Mean absolute error
0.3296
Mean prior absolute error
0.4455
Number of instances
3200
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6613
Per class
Predictive accuracy
0.6866
Prior entropy
0.9204
Recall
0.6866
Per class
Relative absolute error
0.7398
Root mean prior squared error
0.4718
Root mean squared error
0.5385
Root relative squared error
1.1414
SciMark benchmark
945.9825