DEVELOPMENT... OpenML
Run
37529

Run 37529

Task 3693 (Supervised Classification) fri_c4_100_100 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
0.8202
Per class
Build CPU time
0.0477
Build memory
145487316.8
F measure
0.7195
Per class
Kappa
0.4366
KB relative information score
40.2198
Mean absolute error
0.3055
Mean prior absolute error
0.4982
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
0.7197
Per class
Predictive accuracy
0.72
Prior entropy
0.9975
Recall
0.72
Per class
Relative absolute error
0.6131
Root mean prior squared error
0.4991
Root mean squared error
0.4329
Root relative squared error
0.8673
SciMark benchmark
939.9671