DEVELOPMENT... OpenML
Run
37789

Run 37789

Task 4503 (Supervised Classification) fri_c1_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)_I20
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
0.9322
Per class
Build CPU time
0.2633
Build memory
799234335.52
F measure
0.879
Per class
Kappa
0.7542
KB relative information score
1886.8939
Mean absolute error
0.12
Mean prior absolute error
0.4929
Number of instances
2500
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8791
Per class
Predictive accuracy
0.8792
Prior entropy
0.9898
Recall
0.8792
Per class
Relative absolute error
0.2434
Root mean prior squared error
0.4964
Root mean squared error
0.3385
Root relative squared error
0.6818
SciMark benchmark
947.0987