DEVELOPMENT... OpenML
Run
44370

Run 44370

Task 3673 (Supervised Classification) fri_c0_100_10 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
0.9075
Per class
Build CPU time
0.599
Build memory
1086202205.6
F measure
0.8901
Per class
Kappa
0.7782
KB relative information score
75.0468
Mean absolute error
0.1266
Mean prior absolute error
0.4951
Number of instances
100
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8904
Per class
Predictive accuracy
0.89
Prior entropy
0.9931
Recall
0.89
Per class
Relative absolute error
0.2557
Root mean prior squared error
0.4975
Root mean squared error
0.3164
Root relative squared error
0.636
SciMark benchmark
946.1004