DEVELOPMENT... OpenML
Run
35773

Run 35773

Task 4446 (Supervised Classification) fri_c2_250_50 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)_I10
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
0.9016
Per class
Build CPU time
0.5409
Build memory
779842793.12
F measure
0.8506
Per class
Kappa
0.6978
KB relative information score
1730.2732
Mean absolute error
0.1522
Mean prior absolute error
0.4954
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
0.8517
Per class
Predictive accuracy
0.8512
Prior entropy
0.9934
Recall
0.8512
Per class
Relative absolute error
0.3072
Root mean prior squared error
0.4977
Root mean squared error
0.3752
Root relative squared error
0.7538
SciMark benchmark
941.5665

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