DEVELOPMENT... OpenML
Run
41058

Run 41058

Task 4306 (Supervised Classification) cpu_small 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)_I80
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
0.9666
Per class
Build CPU time
45.0702
Build memory
721543362.1063
F measure
0.9188
Per class
Kappa
0.8064
KB relative information score
65018.3596
Mean absolute error
0.0814
Mean prior absolute error
0.4219
Number of instances
81920
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9186
Per class
Predictive accuracy
0.9193
Prior entropy
0.8842
Recall
0.9193
Per class
Relative absolute error
0.193
Root mean prior squared error
0.4593
Root mean squared error
0.272
Root relative squared error
0.5923
SciMark benchmark
934.1739