DEVELOPMENT... OpenML
Run
44390

Run 44390

Task 4417 (Supervised Classification) wind 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
0.9361
Per class
Build CPU time
72.4509
Build memory
637606984.3125
F measure
0.8602
Per class
Kappa
0.7192
KB relative information score
47009.6099
Mean absolute error
0.142
Mean prior absolute error
0.4979
Number of instances
65740
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8602
Per class
Predictive accuracy
0.8602
Prior entropy
0.9969
Recall
0.8602
Per class
Relative absolute error
0.2852
Root mean prior squared error
0.4989
Root mean squared error
0.3565
Root relative squared error
0.7145
SciMark benchmark
941.2906