DEVELOPMENT... OpenML
Run
35587

Run 35587

Task 3898 (Supervised Classification) kc1-top5 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
0.7377
Per class
Build CPU time
0.0267
Build memory
459719373.8483
F measure
0.936
Per class
Kappa
0.3079
KB relative information score
-9.9891
Mean absolute error
0.0782
Mean prior absolute error
0.1096
Number of instances
145
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9322
Per class
Predictive accuracy
0.9448
Prior entropy
0.3323
Recall
0.9448
Per class
Relative absolute error
0.7129
Root mean prior squared error
0.2284
Root mean squared error
0.2294
Root relative squared error
1.0045
SciMark benchmark
941.5665