DEVELOPMENT... OpenML
Run
38398

Run 38398

Task 4339 (Supervised Classification) fri_c3_100_25 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
0.806
Per class
Build CPU time
0.2203
Build memory
922737944.08
F measure
0.776
Per class
Kappa
0.5464
KB relative information score
534.8672
Mean absolute error
0.2308
Mean prior absolute error
0.4951
Number of instances
1000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.779
Per class
Predictive accuracy
0.778
Prior entropy
0.9931
Recall
0.778
Per class
Relative absolute error
0.4662
Root mean prior squared error
0.4975
Root mean squared error
0.4603
Root relative squared error
0.9251
SciMark benchmark
897.921