DEVELOPMENT... OpenML
Run
43937

Run 43937

Task 3587 (Supervised Classification) pwLinear 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
0.8735
Per class
Build CPU time
0.9375
Build memory
1437847441.6
F measure
0.865
Per class
Kappa
0.7297
KB relative information score
145.9029
Mean absolute error
0.1351
Mean prior absolute error
0.4996
Number of instances
200
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.865
Per class
Predictive accuracy
0.865
Prior entropy
0.9994
Recall
0.865
Per class
Relative absolute error
0.2704
Root mean prior squared error
0.4998
Root mean squared error
0.3674
Root relative squared error
0.7352
SciMark benchmark
941.9633