DEVELOPMENT... OpenML
Run
36237

Run 36237

Task 4529 (Supervised Classification) analcatdata_broadwaymult 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
0.849
Per class
Build CPU time
0.0468
Build memory
471423396.7074
F measure
0.7838
Per class
Kappa
0.5531
KB relative information score
1563.2091
Mean absolute error
0.2166
Mean prior absolute error
0.4853
Number of instances
2850
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7835
Per class
Predictive accuracy
0.7846
Prior entropy
0.9789
Recall
0.7846
Per class
Relative absolute error
0.4463
Root mean prior squared error
0.4926
Root mean squared error
0.4401
Root relative squared error
0.8936
SciMark benchmark
942.3742