DEVELOPMENT... OpenML
Run
44982

Run 44982

Task 4306 (Supervised Classification) cpu_small Uploaded 30-10-2014 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
0.9674
Per class
Build CPU time
98.3867
Build memory
1120788194.1337
F measure
0.9206
Per class
Kappa
0.8107
KB relative information score
65411.3652
Mean absolute error
0.0795
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
0.9204
Per class
Predictive accuracy
0.9211
Prior entropy
0.8842
Recall
0.9211
Per class
Relative absolute error
0.1885
Root mean prior squared error
0.4593
Root mean squared error
0.2687
Root relative squared error
0.5851
SciMark benchmark
945.8425