DEVELOPMENT... OpenML
Run
38327

Run 38327

Task 4333 (Supervised Classification) fri_c2_100_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
0.8331
Per class
Build CPU time
0.0806
Build memory
1010752516.16
F measure
0.7865
Per class
Kappa
0.568
KB relative information score
568.3473
Mean absolute error
0.2128
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
0.7866
Per class
Predictive accuracy
0.787
Prior entropy
0.9931
Recall
0.787
Per class
Relative absolute error
0.4298
Root mean prior squared error
0.4975
Root mean squared error
0.4488
Root relative squared error
0.902
SciMark benchmark
945.2151