DEVELOPMENT... OpenML
Run
37195

Run 37195

Task 3634 (Supervised Classification) fri_c3_100_25 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
0.8796
Per class
Build CPU time
0.2383
Build memory
1461747638.4
F measure
0.8302
Per class
Kappa
0.6573
KB relative information score
62.5252
Mean absolute error
0.188
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
0.8305
Per class
Predictive accuracy
0.83
Prior entropy
0.9931
Recall
0.83
Per class
Relative absolute error
0.3798
Root mean prior squared error
0.4975
Root mean squared error
0.3907
Root relative squared error
0.7854
SciMark benchmark
944.2629