DEVELOPMENT... OpenML
Run
36073

Run 36073

Task 3737 (Supervised Classification) fri_c3_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
0.934
Per class
Build CPU time
0.5426
Build memory
1157250355.2
F measure
0.8637
Per class
Kappa
0.7216
KB relative information score
180.9292
Mean absolute error
0.1344
Mean prior absolute error
0.4908
Number of instances
250
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8638
Per class
Predictive accuracy
0.864
Prior entropy
0.9868
Recall
0.864
Per class
Relative absolute error
0.2738
Root mean prior squared error
0.4954
Root mean squared error
0.3345
Root relative squared error
0.6752
SciMark benchmark
890.4487