DEVELOPMENT... OpenML
Run
40622

Run 40622

Task 3695 (Supervised Classification) fri_c2_250_10 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)_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
0.8951
Per class
Build CPU time
1.0072
Build memory
1085840610.4
F measure
0.9108
Per class
Kappa
0.8054
KB relative information score
201.0245
Mean absolute error
0.0874
Mean prior absolute error
0.4633
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9128
Per class
Predictive accuracy
0.912
Prior entropy
0.9468
Recall
0.912
Per class
Relative absolute error
0.1886
Root mean prior squared error
0.4812
Root mean squared error
0.2947
Root relative squared error
0.6125
SciMark benchmark
938.2803