DEVELOPMENT... OpenML
Run
44100

Run 44100

Task 1819 (Supervised Classification) vote 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)_I160
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
0.9543
Per class
Build CPU time
0.4265
Build memory
878721982.0837
F measure
0.9522
Per class
Kappa
0.8994
KB relative information score
1949.715
Mean absolute error
0.0479
Mean prior absolute error
0.4742
Number of instances
2175
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9524
Per class
Predictive accuracy
0.9522
Prior entropy
0.9627
Recall
0.9522
Per class
Relative absolute error
0.101
Root mean prior squared error
0.4869
Root mean squared error
0.2185
Root relative squared error
0.4488
SciMark benchmark
941.4198